# Description This dataset describes how datasets published in the research data repository RADAR are referenced, combining references extracted from Google Scholar, DataCite Event Data and the Data Citation Corpus. DOIs assigned to RADAR datasets were retrieved from the RADAR API 2025-01-27. References in the three data sources were then identified using these DOIs. Each research output referencing a RADAR dataset was accessed to determine where the reference occurred in the full text. Author names and publication dates for datasets and referencing objects were added from OpenAlex and DataCite on 2025-02-10. Author names of datasets and referencing objects were compared to determine if data reuse occurred. ## Columns - **from:** DOI of the referencing object - **to:** DOI of the RADAR dataset - **from_date:** publication date of the referencing object - **to_date:** publication date of the RADAR dataset - **source_gs:** boolean indicating if the reference was found in Google Scholar - **source_dcc:** boolean indicating if the reference was found in the Data Citation Corpus - **source_ded:** boolean indicating if the reference was found in DataCite Event Data - **method_rl:** boolean indicating if the dataset was referenced in the reference list - **method_das:** boolean indicating if the dataset was referenced in the data availability statement - **method_fn:** boolean indicating if the dataset was referenced in a footnote - **method_ft:** boolean indicating if the dataset was referenced in other parts of the full text, for example in the methods section - **reuse_author:** variable indicating if the reference is indicating data (overlap in the author names of dataset and referencing object) use or data reuse (no overlap)
Referenzierung von Forschungsdatenpublikationen in RADAR
University of Missouri, Division of Animal Sciences
Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Research Institute for Farm Animal Biology (FBN)
Population genetic metrics help to evaluate the genomic map coordinates of the SNP markers sited on SNP genotyping arrays. A three-step approach combining the recombination and linkage disequilibrium (LD) analyses was applied to the Illumina Bovine SNP50 genotyping array in a large pedigree of Holstein cattle consisting of 367,056 animals distributed in 1,053 half-sib families to investigate if the markers fit into the assigned physical map coordinates. A panel of 65 markers was suggested as misplacement candidates. Results of both recombination and LD analyses for each candidate marker are presented. List of marker names and coordinates within 30 refined problematic regions are supplemented. This data is associated with a publication in Animal Genetics (Qanbari et al. 2022).
Bundesministerium für Bildung und Forschung (BMBF)
misplaced SNP, recombination rate, linkage disequilibrium
Supplemental data to publication "Evidence of Rare Misassemblies in the Bovine Reference Genome Revealed by Population Genetic Metrics" (Animal Genetics)
Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Institut für Genetik und Biometrie, Leibniz-Institut für Nutztierbiologie (FBN)
The guide to practical application of generalized gametic relationships has three main parts. The first is the source code (Fortran2015) of a program for setting up the inverse of a generalized gametic relationship matrix from pedigree data, a detailed program description and example input and output files. In the second part six worked examples are presented, demonstrating in very detail how various mixed models with generalized gametic relationship matrices can be implemented using the ASReml package. Each example is accompanied by R-code to check model details and the correctness of the ASReml implementation. Finally a large mouse data set (about 13,000 observations on body weight, 153 generations) is provided together with details on how it can be analyzed with different gametic models using ASReml.
parent-of-origin effects, genomic imprinting, gametic relationship matrix, genomic selection, mixed models
Generalized gametic relationships - a guide to practical implementation
Simulated data for genomic evaluations in breeding populations
Leibniz Institute for Farm Animal Biology (FBN)
A simulation study has been conducted to analyse the association between genetic and phenotypic variation with grouped penalization approaches. The study design resembles a breeding population consisting of several half-sib families which is typical, for example, in livestock or crop. Genotypes and phenotypes have been simulated with publicly available software. Two strategies have been followed to generate genetic effects captured by markers: effects have been sampled independently (option a) or in groups (option b). The dataset includes a detailed description of the simulation design and comprises phased genotypes of parents and progeny, progeny phenotypes and marker effect sizes. The simulation has been repeated 100 times.
SNP marker, genomic selection, statistical genetics, linkage disequilibrium
Supplemental data to publication "A Fitted Sparse-Group Lasso for Genome-Based Evaluations"
A simulation study has been conducted to analyse the association between genetic and phenotypic variation in livestock. Following the density and distribution of single nucleotide polymorphisms (SNPs) on the Illumina BovineSNP50 chip, 52,773 SNPs were simulated on the cattle genome of 30 Morgan length. Several generations of random mating were executed in which random recombination events according to the genetic distance between SNPs and random mutation of SNP alleles were considered. In the most recent generations, 50 sires were mated to 20 dams in order to generate multiple half-sib families. The data were split into training (n=2,000) and validation/testing set (n=2,000). Twenty-three SNPs were randomly preselected to be the causative variants, and additive, dominance and epistatic effects were simulated. Two different traits were achieved by adding different residual error terms to the sum of genetic effects, such that the total genetic variation contributed either 30% or 50% to the phenotypic variation. Then, 5,227 SNPs (every 10-th SNP including the causative variants) were selected. The simulation was repeated 100 times. More details can be found in Wittenburg et al. (2011) Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers. BMC Genetics 12:74, https://doi.org/10.1186/1471-2156-12-74
Federal Ministry of Education and Research (BMBF)
SNP, dominance, epistasis, recombination, genetic variation
Supplementary data to publication “An approximate Bayesian significance test for genomic evaluations” (Biom J)
Mendelian sampling variability (MSV), determined by the heterozygosity and linkage phases of the parental haplotypes, quantifies the chance of producing offspring with high breeding values. Recent genomic selection criteria combine expected breeding values with MSV to maximize the chance of producing offspring with exceptional breeding values. These criteria, however, tend to select similar parents with high variability potential. Therefore, a measure of haplotype similarity is required to avoid this tendency and preserve diversity. Here, we derive this measure by pairing all potential gametes from two parents based on their segregating marker patterns. Subsequently, a similarity measure between two parents is defined as the absolute value of the covariance between the additive values of the paired gametes on a chromosome. A similarity matrix with absolute covariances as off-diagonal elements and MSVs as diagonal elements summarizes all pairwise similarities between parents. A parent’s similarity to itself equals its MSV. High similarity indicates that the parents share many heterozygous markers with large effects on a trait in the same linkage phase. The concept generalizes to multiple chromosomes, an aggregate genotype with multiple traits, and similarity between zygotes. We demonstrated the properties of the similarity matrix using empirical data. Through simulations, we showed that incorporating the matrix into genomic selection preserves up to 1630% more genetic variability and yields up to 7% more genetic gain relative to index selection in the long term. Although further research is needed, our results suggest that including similarity matrices preserves haplotype diversity and improves long-term genomic selection.
Bundesanstalt für Landwirtschaft und Ernährung
A similarity matrix for preserving haplotype diversity - supplementary material
Leibniz-Institut für Nutztierbiologie (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
This is a data publication hosted by the research data repository RADAR.
Mouse High Fecundity Advanced Intercross Data I: Phenotypes, Pedigree and Founder Genotypes
Institute of Genetics and Biometry, Leibniz-Institute for Farm Animal Biology (FBN)
Example programs are presented that can be used to compute expected relationships in a two-way cross where the founders have been genotyped. Theory is described in very detail in the article of Meng et al. "Turning Observed Founder Alleles into Expected Relationships in an Intercross Population", published in G3: Genes, Genomes, Genetics (2019 vol. 9 no. 3 889-899) and accessible under https://doi.org/10.1534/g3.118.200752 . Together with the programs example data are provided. A further detailed description is given in the readme-file that is included.
relationship matrix, expected relationships, founder relationships
Turning observed founder alleles into expected relationships - example programs
This study investigated the transfer of essential fatty acid (EFA) and conjugated linoleic acid (CLA) to calves, whose dams were supplemented with EFA and CLA during late gestation and early lactation. Maternal EFA and CLA supplementation increased the respective fatty acids in calf plasma to a greater extent on d 5 of life than on d 1 before colostrum feeding and affected colostrum composition but did not affect calf performance.
essential fatty acids, conjugated linoleic acid, maternal fatty acid status, neonate
Supplementary data to publication "Modulation of colostrum composition and fatty acid status in neonatal calves by maternal supplementation with essential fatty acids and conjugated linoleic acid starting in late lactation"
In Hampel et al. (2018, Fron Genet), we proposed an advanced method for the estimation of paternal recombination rate and maternal linkage disequilibrium between pairs of SNPs if genotypes of paternal half sibs were available. To show practical usability of the approach, empirical bovine data comprising several half-sib families have been investigated. However, the outcome of our method strongly depended on the order of SNPs. For instance, candidates of putatively misplaced SNPs were identified if recombination rate between close SNPs was unusually high. Since the bovine genome assembly has been updated to its current version ARS-UCD1.2, it was necessary to re-analyse the data. The parameter estimates as well as the input data are now jointly available from this repository. More details about the methodology can be found in Hampel et al. (2018, Fron Genet), https://doi.org/10.3389/fgene.2018.00186.
SNP, recombination rate, linkage disequilibrium
Updated results to publication “Estimation of Recombination Rate and Maternal Linkage Disequilibrium in Half-Sibs” (Fron Genet)
The study of selection signatures helps to find genomic regions that have been under selective pressure and might host genes or variants that modulate important phenotypes. Such knowledge improves our understanding of how breeding programmes have shaped the genomes of livestock. In this study, 942 stallions were included from four, exemplarily chosen, German warmblood breeds with divergent historical and recent selection focus and different crossbreeding policies: Trakehner (N=44), Holsteiner (N=358), Hanoverian (N=319) and Oldenburger (N=221). Blood samples were collected during the health exams of the stallion preselections before licensing and were genotyped with the Illumina EquineSNP50 BeadChip. Autosomal markers were used for a multi-method search for signals of positive selection. Analyses within and across breeds were conducted by using the integrated Haplotype Score (iHS), cross-population Extended Haplotype Homozygosity (xpEHH) and Runs of Homozygosity (ROH). Oldenburger and Hanoverian showed very similar iHS signatures, but breed specificities were detected on multiple chromosomes with the xpEHH.
German Federal Ministry for Education and Research (BMBF) (Grant No. 031513)5B)
selection signatures, animal population genetics, horse
Supplemental data to publication "Selection signatures in four German warmblood horse breeds: tracing breeding history in the modern sport horse" (PLOS ONE)
State-Office for Geo-Information and Rural Development, Geodata-Center
Three files with p-values for each marker and five traits are provided. Each file contains p-values for one of three different hypotheses were tested for each trait, marker association with i) imprinting effects, with ii) transmitting abilities as sires and with iii) transmitting abilities as dams. Estimates for imprinting effects (parent-of-origin effects), transmitting abilities as sires and as dams were derived from a population analysis of salughterhouse data from Brown Swiss fattenening bulls by applying an appropriate mixed model that accounts for paternal and maternal imprinting simultanously. For more information see the detailed data description and the accompanying publication.
genomic imprinting; parent-of-origin effects; genome-wide association study; body composition traits; growth traits; cattle
Result files – Scanning the genomes of parents for imprinted loci acting in their un-genotyped progeny
The study tested the effects of conjugated linoleic acid (CLA) and essential fatty acid (EFA) infusion on glucose metabolism and the somatotropic axis in dairy cows around calving. Supplementation with CLA and the combination of CLA with EFA resulted in elevated plasma glucose but decreased glucose production and stimulation of the somatotropic axis after calving. EFA treatment enhances glucose production but inhibits hepatic mRNA abundance related to gluconeogenesis.
α-linolenic acid, conjugated linoleic acid, glucose metabolism, somatotropic axis
Supplementary data to publication "Glucose metabolism and the somatotropic axis in dairy cows after abomasal infusion of essential fatty acids together with conjugated linoleic acid during the time of calving"
Ad libitum MR-fed calves vary in their feeding behavior and individual feed intake during the preweaning period. This study intended to classify ad libitum MR-fed calves according to their individual voluntary MR intake using a clustering approach. Analysis allowed discriminating two groups of calves with different MR meal size (HIGH; 2.2 ± 0.11 L MR/visit; LOW; 1.8 ± 0.07 L MR/visit). Differences in feeding behaviors were linked to growth performance and metabolic changes.
calf, cluster analysis, ad libitum feeding
Supplementary data to publication "Effects of milk replacer (MR) meal size on feed intake, growth performance, and blood metabolites and hormones of calves fed MR with or without butyrate ad libitum: A cluster-analytic approach"
Data_dwnld_F1_20180828 Folder containing the MPD projects that were downloaded on 28.8.2018 from MPD and then used for the analyses described in our manuscript. Results from pairwise comparison of each strain with C57BL/6J as reference File: DetailedResults_Including_MP_terms_Hamed_291018_hko_301118_ohne Filter.xlsx
Collaborative Cross, German Mouse Clinics, Mouse Phenotyping Database, MPD, CC
Helmholtz Centre for Infection Research, Braunschweig/Germany
Xylariales (Ascomycota) is a fungal order comprising, inter alia, the large families Hypoxylaceae and Xylariaceae, known as particularly prolific producers of (bioactive) natural products in mycelial cultures and stromata. Recent genome analyses of model fungi revealed a large discrepancy between numbers of predicted biosynthetic gene clusters (BGCs) and known secondary metabolite (SM) classes. Finding the right triggers to induce these “silent” BGCs is therefore expected to substantially expand the known chemodiversity in Xylariales. In the overarching project of this work, 14 high-quality genome sequences from members of Xylariales were obtained, allowing for in-depth studies of their biosynthetic machineries. This work is dedicated to investigating the SMs of Xylariales and establishing the link to the underlying BGCs. A coordinated screening of mycelial cultures of eleven species with available genome data was conducted to define the limitations of a “classical” approach to induce silent BGCs. Moreover, stromata of the widespread European species Hypoxylon fragiforme and H. rubiginosum were investigated for novel azaphilone SMs and their biosynthesis studied using the generated high-quality genomes. In parallel, three rare, unstudied species of Xylariales were investigated in a classical screening approach and characterised for novel SMs. The coordinated screening approach yielded a valuable HPLC−MS dataset that can be used to link BGCs to analytical data. However, the approach was found to induce an unexpectedly low number of clusters. This proved that even elaborate screenings, which go beyond common approaches in natural product research, are unable to activate the majority of silent BGCs. Biosynthetic methods such as heterologous expression are able to overcome this challenge, but were beyond the scope of this work. Therefore, the biosynthesis has been investigated by genome mining on the constitutively-produced azaphilone pigments from H. fragiforme and H. rubiginosum stromata. Isolation efforts yielded 17 novel azaphilones with varying bioactivities, of which the fragirubrins and heterodimeric hybridorubrins constitute novel subclasses. Genome data of H. fragiforme revealed two distantly-located BGCs to collaboratively produce the known azaphilone diversity. In H. rubiginosum, three BGCs were found to produce a single class of SMs, which is unprecedented in fungi. In parallel, mycelial cultures of the fungicolous H. invadens produced known flaviolin naphthalenes, while two novel sesquiterpenoids and a number of chemotaxonomic marker compounds were obtained from the pyrophilic Stromatoneurospora phoenix. Stromata of Annulohypoxylon viridistratum yielded three novel benzo[ j ]fluoranthenes, which showed antimicrobial and cytotoxic activities and are chemotaxonomic markers. Summary 11 To conclude, this work revealed the intricate machinery of azaphilone biosynthesis in H. fragiforme and H. rubiginosum and characterised unprecedented azaphilone congeners. It was also found that even elaborate screening approaches are limited in the chemical diversity they can deliver. What is more, the overarching project of this work revealed hundreds of unassignable BGCs in the genome data of only 14 species from Xylariales. Thus, this work demonstrates the need for future characterisation of SM biosynthesis, as well as the chemical ecology of selected species of the Xylariales.
Abbreviations 2 List of figures 4 List of tables 5 List of publications 6 Contribution to publications 7 Summary 10 1. Introduction 12 1.1. The fungal order Xylariales 12 1.2. Chemical diversity and bioactivity of secondary metabolites from Xylariales 13 1.3. Biosynthesis research on secondary metabolites from Xylariales 22 1.4. Aims of the thesis 27 2. Materials and methods 30 2.1. Medium-scale screening for secondary metabolites 30 2.1.1. Fungal material and cultivation 30 2.1.2. Harvest of cultures and preparation of crude extracts 32 2.1.3. HPLC−DAD/MS analysis for dereplication and identification of novel secondary metabolites 33 2.1.4. Agar-diffusion assay for evaluation of antimicrobial activity 33 2.2. Scale-up of selected fungal cultures 34 2.3. Preparative extraction and isolation of secondary metabolites 35 2.4. Structure elucidation of pure compounds 36 3. Results and discussion 38 3.1. Secondary metabolites from species of Xylariales and correlation to biosynthetic gene clusters 38 3.1.1. Medium-scale screening for secondary metabolites [II] 38 3.1.2. Chemistry, bioactivity, and biosynthesis of azaphilones from stromata of Hypoxylon fragiforme and H. rubiginosum [I, VI, VII] 43 3.2. Secondary metabolites from rare and ecologically interesting species of Xylariales 56 3.2.1. Secondary metabolites from mycelial cultures of the fungicolous Hypoxylon invadens [III] 56 3.2.2. Secondary metabolites from mycelial cultures of the pyrophilic Stromatoneurospora phoenix [IV] 58 3.2.3. Stromatal constituents of Annulohypoxylon viridistratum [V] 60 4. Conclusions and outlook 62 5. References 70 6. Appendices: publications of this dissertation 86 I. Identification of fungal fossils and novel azaphilone pigments in ancient carbonised specimens of Hypoxylon fragiforme from forest soils of Châtillon-sur-Seine (Burgundy) 88 II. Investigating the function of cryptic cytochalasan cytochrome P450 monooxygenases using combinatorial biosynthesis 102 III. Phylogenetic assignment of the fungicolous Hypoxylon invadens (Ascomycota, Xylariales) and investigation of its secondary metabolites 108 IV. Phylogenetic and chemotaxonomic studies confirm the affinities of Stromatoneurospora phoenix to the coprophilous Xylariaceae 124 V. Viridistratins A−C, antimicrobial and cytotoxic benzo[j]fluoranthenes from stromata of Annulohypoxylon viridistratum (Hypoxylaceae, Ascomycota) 146 VI. Hybridorubrins A−D, novel azaphilone heterodimers from stromata of Hypoxylon fragiforme and insights into the biosynthetic machinery for azaphilone diversification 158 VII. Azaphilone pigments from Hypoxylon rubiginosum and H. texense: absolute configuration, bioactivity, and biosynthesis 172 VIII. Recent progress in biodiversity research on the Xylariales and their secondary metabolism 182
Ascomycetes, azaphilones, bioactivity, fungi, Hypoxylaceae, naphthalenes, natural products, secondary metabolites, Xylariaceae, Xylariales
Identification of novel bioactive natural products from species of Xylariales V2
data and codes for publication Tang et al 2019
This is the attached simulation data set of the PhD Thesis "Scalable Data-driven Methods for Advanced Molecular-continuum Flow Simulation" by Piet Jarmatz, Helmut-Schmidt-University (ISBN 978-3-8439-5753-3). The content of this data set is described in the dissertation. It is referenced by the simulation configuration IDs used in the thesis, as well as by the configuration tables given in the Appendix. Structure of this data set: Folder "config_files": This contains for each simulation configuration, as numbered by the Appendix: - the corresponding input files - XML, - YML, - and/or INI configuration files, - launching scripts, - plotting scripts, - simulation control scripts - and/or slurm job scripts. Folder "results": This contains for some of the simulations, as numbered by the Appendix, simulation output files, logfiles, snapshot of environment variables, job files. In order to reduce the file size of this data set by many orders of magnitude, these files are only provided where necessary or helpful, not all simulation output files for all simulation configurations are archived here. Generally, the intention is to guarantee reproducibility by providing the archived "config_files".
Simulation Data of "Scalable Data-driven Methods for Advanced Molecular-continuum Flow Simulation"
Martin Luther University Halle-Wittenberg
Das Biografienportal Sachsen-Anhalt versammelt in Erst- und Zweitveröffentlichung oder zu Zwecken der Langzeitarchivierung Biografien von Menschen aus und in Sachsen-Anhalt. Integriert wurde der Catalogus Professorum Halensis, der durch Mitarbeitende des Instituts für Geschichte der Martin-Luther-Universität Halle-Wittenberg entstand. Dabei handelt es sich um ein bio-bibliografisches Online-Lexikon zu den Professoren der Universität Halle zwischen 1694 und 1968. Die Texte wurden vor allem von Henrik Eberle und anderen Mitarbeitenden zwischen 2005 und 2010 recherchiert und erstellt. Etliche Artikel zum Zeitraum 1694 bis 1817 verfasste Julia Schopferer. Bei der Überführung in das Biografienportal wurden die Lebensangaben neu recherchiert und Metadaten über Verfahren des Named Entity Recogniton erschlossen. Automatisiert erkannt wurden Personennamen, Ortsbezeichnungen und Körperschaften, die in der hier vorhandenen RTF-Datei indexiert vorliegt. Zudem wurden diese mit GND-Einträgen abgeglichen. Weiterhin erfolgte ein Abgleich mit der „Ontologie der historischen, deutschsprachigen Amts- und Berufsbezeichnungen“. Die Texte liegen im Jahr 2024 in zweifacher Ausgabe im Catalogus Professorum Halensis des Universitätsarchivs und des Biografienportals des Historischen Datenzentrums Sachsen-Anhalts vor. Sie werden hier für die Langzeitarchivierung der ursprünglichen Fassung archiviert.
Ministerium für Infrastruktur und Digitales des Landes Sachsen-Anhalt
Martin-Luther-Universität Halle-Wittenberg | Halle (Saale); Wittenberg
Universität Halle (Saale) | Halle (Saale)
Grote, Louis Ruyter Radcliffe | 1886–1960 | Arzt; Hochschullehrer; Internist; Militärarzt
Institut für Landesgeschichte (Sachsen-Anhalt)
Historisches Datenzentrum Sachsen-Anhalt
Mackenroth, Gerhard | 1903–1955 | Sozialwissenschaftler; Volkswirt; Hochschullehrer
Ebbinghaus, Hermann | 1850–1909 | Psychologe; Philosoph; Hochschullehrer
Reuter, Fritz | 1896–1963 | Komponist; Musikwissenschaftler; Herausgeber; Dirigent; Komponist; Dramaturg
Paul Beckus (Digitalisate), Archivbestände des angegebenen Archives
Beschreibung: Im Rahmen des DFG-Projektes “Geistlicher Stand oder Sinekure? Die protestantischen Domherren vom Westfälischen Frieden bis zum Ende der Napoleonischen Ära (1648–1815)” wurden von Paul Beckus erhebliche Teile der archivalischen Überlieferung der Domkapitel digitalisiert. Diese Digitalisate erfolgte mittels Digitalkamera und wurden in den Landes- und teils auch den noch bestehenden Domarchiven erstellt. Die Digitalisate werden im Rahmen des vorliegenden Projektes zur Langzeitarchivierung gesichert und der Öffentlichkeit zugänglich gemacht. Es handelt sich um wesentliche Teile der Archivüberlieferung der protestantischen und gemischtkonfessionellen Domkapitel, die 1648 noch bestanden und teils noch bis über das Jahr 1815 fortexistieren. Die Quellen wurden überwiegend seriell fotografiert, können aber keinen Anspruch auf Vollständigkeit erheben. Sie beinhalten überwiegend Urkunden, Akten und Protokolle zu Aufnahme und Ausscheiden der Domherren sowie der inneren Verwaltung der Domkapitel, ihres Kontakts zu den Administratoren und den Institutionen des Alten Reiches.
Ludewig, Johann Peter von | 1670–1743 | Jurist; Historiker; Theologe; Staatsrechtslehrer; Hochschullehrer; Politiker; Philosoph
Alberti, Heinrich Christian | 1722–1782 | Arzt
Dold, Hermann | 1882–1962 | Bakteriologe; Hochschullehrer; Arzt; Militärarzt
Geldner, Karl F. | 1852–1929 | Indologe; Orientalist
Kaltenbach, Rudolf | 1842–1893 | Gynäkologe
Stäckel, Paul | 1862–1919 | Mathematiker
Grüttner, Adalbert | 1881–1929 | Pädagoge; Mathematiker; Physiker; Lehrer; Hochschullehrer
Laatsch, Willi | 1905–1997 | Botaniker; Geologe; Bodenkundler
Martin-Luther-Universität Halle-Wittenberg
Hertwig, Paula | 1889–1983 | Biologin; Zoologin; Genetikerin
Diehl, Ernst | 1874–1947 | Klassischer Philologe; Hochschullehrer
Steltzer, Christian Julius Ludwig | 1758–1831 | Jurist
Scheffer, Fritz | 1899–1979 | Agrarwissenschaftler; Hochschullehrer; Bodenkundler
LASA, A 14, Nr. 258: Seniorateinkünfte, in specie die deshalb zwischen dem Senior vom Kannenberg und dem Subsenior von Neindorf entstandenen Streitigkeiten
Stein, Karl Heinrich von | 1857–1887 | Philosoph; Schauspieler; Herausgeber
Ostrow-Ostrowsky, Martin von | Mathematiker
Meumann, Ernst | 1862–1915 | Psychologe; Pädagoge; Philosoph
Francke, Gotthilf August | 1696–1769 | Evangelischer Theologe; Pfarrer; Hochschullehrer; Gymnasiallehrer; Schulleiter
Haußleiter, Otto | 1896–1982 | Staatswissenschaftler; Jurist; Ministerialrat; Hochschullehrer
Schütz, Friedrich Karl Julius | 1779–1844 | Schriftsteller; Historiker; Philosoph; Hochschullehrer; Schauspieler; Theaterdirektor
LASA, A 14, Nr. 268: Erhandlung der domkapitularischen Erbpräbende für Herrn von Pannewitz
Gutzeit, Ernst | 1863–1927 | Agrarwissenschaftler; Hochschullehrer; Lebensmittelchemiker
Heine, Eduard | 1821–1881 | Mathematiker
LASA, A 14, Nr. 289: Resignation der Minorpräbende des katholischen Herrn von Sickingen
Grimm, Wilhelm | 1786–1859 | Philologe; Germanist; Schriftsteller; Jurist; Bibliothekar; Literaturwissenschaftler
Kuhn, Oskar | 1908–1990 | Paläontologe; Geologe; Hochschullehrer; Schriftsteller
Fitting, Hermann | 1831–1918 | Jurist; Hochschullehrer
Rüdiger, Johann Christian Christoph | 1751–1822 | Linguist; Hochschullehrer
Hinsche, Georg | 1888–1951 | Wissenschaftler; Geisteswissenschaftler; Naturwissenschaftler; Arzt; Zoologe; Biologe; Pädagoge; Lehrer; Hochschullehrer
Hasse, Helmut | 1898–1979 | Mathematiker; Hochschullehrer; Astronom
Heisler, Philipp Jakob | 1718–1781 | Jurist
Anthes, Rudolf | 1896–1985 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
Bernstein, Julius | 1839–1917 | Physiologe; Arzt; Hochschullehrer
Aschaffenburg, Gustav | 1866–1944 | Psychiater; Arzt
Schlier, Heinrich | 1900–1978 | Neutestamentler; Patristiker; Katholischer Theologe; Hochschullehrer
Perels, Emil | 1837–1893 | Ingenieur; Hochschullehrer
Lang, August | 1867–1945 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker; Seelsorger; Superintendent
LASA, A 14, Nr. 243: Dem von Bredow erteilte Expektanz
Jakob, Ludwig Heinrich von | 1759–1827 | Staatswissenschaftler; Wirtschaftswissenschaftler; Soziologe; Philosoph
Brandt, Georg | 1895–1968 | Arzt; Chirurg; Orthopäde; Hochschullehrer
Cobet, Rudolf | 1888–1964 | Arzt; Internist
Böhmer, Gerhard | 1879– | Agrarwissenschaftler; Hochschullehrer; Beamter
Budde, Werner | 1886–1960 | Arzt; Chirurg; Militärarzt; Hochschullehrer
Diehl, Karl | 1864–1943 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler
Lilienthal, Karl von | 1853–1927 | Jurist
Heilbronner, Karl | 1869–1914 | Psychiater
Köthner, Paul | 1870–1932 | Chemiker; Freimaurer
Kautzsch, Emil | 1841–1910 | Alttestamentler; Hochschullehrer; Evangelischer Theologe; Hebraist
Sellheim, Hugo | 1871–1936 | Gynäkologe; Hochschullehrer
Dahm, Georg | 1904–1963 | Jurist; Hochschullehrer
Gruner, Johann Friedrich | 1723–1778 | Theologe; Pädagoge; Historiker
Heynemann, Theodor | 1878–1951 | Arzt; Gynäkologe
Beyer, Justus Israel | 1696–1762 | Jurist; Philosoph
Koehler, Hermann Adolph | 1834–1879 | Arzt; Chemiker
Keyser, Paul | 1898–1960 | Pfarrer; Evangelischer Theologe
Im Rahmen des DFG-Projektes “Geistlicher Stand oder Sinekure? Die protestantischen Domherren vom Westfälischen Frieden bis zum Ende der Napoleonischen Ära (1648–1815)” wurden von Paul Beckus erhebliche Teile der archivalischen Überlieferung der Domkapitel digitalisiert. Diese Digitalisate erfolgte mittels Digitalkamera und wurden in den Landes- und teils auch den noch bestehenden Domarchiven erstellt. Die Digitalisate werden im Rahmen des vorliegenden Projektes zur Langzeitarchivierung gesichert und der Öffentlichkeit zugänglich gemacht. Es handelt sich um wesentliche Teile der Archivüberlieferung der protestantischen und gemischtkonfessionellen Domkapitel, die 1648 noch bestanden und teils noch bis über das Jahr 1815 fortexistieren. Die Quellen wurden überwiegend seriell fotografiert, können aber keinen Anspruch auf Vollständigkeit erheben. Sie beinhalten überwiegend Urkunden, Akten und Protokolle zu Aufnahme und Ausscheiden der Domherren sowie der inneren Verwaltung der Domkapitel, ihres Kontakts zu den Administratoren und den Institutionen des Alten Reiches.
LASA, A 13, Nr. 1134: Die in mense papali vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Knapp, Georg Christian | 1753–1825 | Evangelischer Theologe; Hochschullehrer; Schulleiter; Konsistorialrat; Pietist; Theologe
Gabriel, Paul | 1883–1964 | Pfarrer; Komponist; Evangelischer Theologe
Justi, Karl | 1873–1949 | Arzt; Pathologe; Tropenarzt; Heimatkundler
LASH Abt. 268 Nr. 409: Protocollum causarum capitularium ecclesie Lubicensis, unvollständig
Hasenclever, Adolf | 1875–1938 | Historiker; Ägyptologe; Volkswirt; Soldat; Hochschullehrer
Mohr, Leo | 1874–1918 | Internist; Arzt; Militärarzt; Hochschullehrer
Duncker, Maximilian Wolfgang | 1811–1886 | Historiker; Archivar; Hochschullehrer; Politiker
LASH Abt. 268 Nr. 411: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 456: Manual-Protokolle
LASH Abt. 268 Nr. 23: Persönliche Possessionsnehmung der Kanonikate
LASA, A 13, Nr. 1122: Wahl der Dechanten beim Domkapitel
Genzmer, Alfred | 1851–1912 | Chirurg; Hochschullehrer
Buhlert, Hans | 1872–1915 | Agrarwissenschaftler
Junghans, Philipp Caspar | 1738–1799 | Arzt; Botaniker; Hochschullehrer
Schrader, Gerhard | 1900–1949 | Hochschullehrer; Arzt; Rechtsmediziner
Seel, Hans | 1898–1961 | Arzt; Pharmakologe; Sanitäter; Hochschullehrer
Enke, Willi | 1895–1974 | Psychiater; Neurologe; Arzt; Hochschullehrer
Müller, August | 1848–1892 | Orientalist; Arabist; Hochschullehrer
Nasse, Otto | 1839–1903 | Arzt; Hochschullehrer; Pharmakologe; Physiologe
LASA, A 14, Nr. 409: Von dem Freiherrn von Galen an den Freiherrn Korf, genannt Schneising resignierte Elektenpräbende
Jacobi, Johann Georg | 1740–1814 | Schriftsteller; Philosoph; Hochschullehrer; Dramatiker
Baer, Reinhold | 1902–1979 | Mathematiker; Hochschullehrer; Lehrer
Jaensch, Erich Rudolf | 1883–1940 | Philosoph; Psychologe
Hertz, Gustav | 1887–1975 | Physiker; Hochschullehrer
Krause, Fedor | 1857–1937 | Arzt; Chirurg
Schmidt-Hoensdorf, Fritz | 1889–1967 | Hochschullehrer; Tierarzt; Zoologe
Fassbender, Friedrich Wilhelm | 1893–1981 | Arzt
Herre, Wolf | 1909–1997 | Zoologe; Hochschullehrer
Printz, Wilhelm | 1887–1941 | Indologe; Bibliothekar; Hochschullehrer
Schultze-Galléra, Siegmar von | 1865–1945 | Literarhistoriker; Germanist; Heimatkundler; Lehrer
Haseloff, Arthur | 1872–1955 | Kunsthistoriker
Frank, Reinhard von | 1860–1934 | Jurist; Hochschullehrer
Menzer, Paul | 1873–1960 | Philosoph; Pädagoge; Hochschullehrer
LASA, A 14, Nr. 293 Bd. I: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
LASA, A 14, Nr. 302: Absterben des Subseniors von Haren und Aszension des von Byern
Goelicke, Andreas Ottomar | 1671–1744 | Arzt; Anatom
Schmidt, Adolf | 1865–1918 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer; Rektor
Aubin, Gustav | 1881–1938 | Historiker; Wirtschaftshistoriker; Hochschullehrer; Volkswirt; Jurist; Oberstleutnant
Müller, Karl Friedrich | 1852–1940 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Rausch, Alfred | 1858–1939 | Pädagoge; Schulleiter; Philosoph
LASH Abt. 268 Nr. 442: Protokollum rev. capituli Lubicensis: Band 39
Franke, Carl Christian Leberecht | 1796–1879 | Pfarrer; Evangelischer Theologe; Pädagoge; Superintendent; Hochschullehrer; Bibliothekar
Meyer, Gottfried | 1855–1933 | Regierungsrat
Liebenberg de Zsitin, Adolf, Ritter | 1851–1922 | Agrarwissenschaftler; Pflanzenzüchter; Hochschullehrer
Ruhland, Wilhelm | 1878–1960 | Botaniker; Wissenschaftshistoriker; Hochschullehrer; Zeitungsverleger
Brunnemann, Jakob | 1674–1735 | Jurist; Hochschullehrer
Fikentscher, Richard | 1903–1993 | Arzt; Gynäkologe
Fischer, August | 1865–1949 | Orientalist; Hochschullehrer; Arabist; Philologe
Rietschel, Siegfried | 1871–1912 | Jurist
Brandt, Heinrich | 1886–1954 | Mathematiker; Hochschullehrer
Grell, Heinrich | 1903–1974 | Mathematiker
Scherer, Alexander Nicolaus | 1771–1824 | Physiker; Chemiker; Apotheker; Staatsrat
LASH Abt. 268 Nr. 433: Protokollum rev. capituli Lubicensis: Band 30
Gruber, Johann Daniel | 1688–1748 | Jurist; Hofrat; Bibliothekar; Historiker
Reinhard, Conrad Friedrich | 1692–1728 | Philosoph; Jurist
LASH Abt. 260 Nr. 18: Wahl des Herzogs Christian August zum Koadjutor und künftigen Bischof im Hochstift Lübeck
LASH Abt. 260 Nr. 45: Regierungswechsel im Bistum Lübeck
LASH Abt. 268 Nr. 11: Rangordnung der Kanoniker zu Lübeck
Nicolai, Ernst Anton | 1722–1802 | Arzt; Chemiker; Hochschullehrer
LASA, A 14, Nr. 120: Gesuch, am hiesigen Stift nur Deutsche von Adel anzunehmen und in gewöhnlicher geistlicher Kleidung bei Hofe erscheinen zu dürfen
Freudl, E. | 1875–1951 | Landwirt; Pflanzenzüchter; Agrarwissenschaftler
Jecht, Horst | 1901–1965 | Volkswirt; Hochschullehrer
Herzfeld, Hans | 1892–1982 | Historiker; Hochschullehrer
Hessler, Hugo | 1850–1920 | Arzt; Militärarzt
Luedecke, Otto | 1851–1910 | Geologe; Mineraloge
Hoffmann, Friedrich | 1703–1766 | Arzt; Pharmakologe; Hochschullehrer
Historische Filmaufnahme des Privatarchivs Hermann Klaetsch und Erna Theilig
Bei der Filmaufnahme von ca. 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Inszenierung des abendlichen Feierabends der Familie. Während die Mutter das Abendbrot bereitet, kehrt der Vater mit dem Fahrrad von der Arbeit zurück und wird von der Tochter abgeholt. Man sieht die spielenden Kinder auf der Straße. Beim Essen und der Abendgestaltung wird die Inneneinrichtung des Hauses im Ackerweg in der Gartenstadt Halle (Saale) gezeigt. Später folgen Szenen des Spielens der Kinder, der Hausarbeit, der Körperpflege und des Schlafengehens der Kinder. Am Ende gestalten die Eltern ihre Freizeit mit Näharbeiten und Vorlesen.
Sammlung Familie Hermann Klaetsch (1903-1965) und Erna Theilig (1905-1991)
Klaetsch, Hermann | 1903–1965 | Steuerberater
Bauer, Hans | 1878–1937 | Orientalist; Semitist; Theologe; Klassischer Philologe; Publizist; Priester; Hochschullehrer
Holdefleiß, Friedrich Wilhelm | 1846–1919 | Agrikulturchemiker; Chemiker; Hochschullehrer; Landwirt
Steck, Johann Christoph Wilhelm von | 1730–1797 | Jurist; Diplomat; Schriftsteller
Schneidewind, Wilhelm | 1860–1931 | Chemiker; Agrarwissenschaftler; Agrikulturchemiker
Meyer, Ludwig | 1894–1964 | Bodenkundler; Hochschullehrer
Lange, Johann Joachim | 1699–1765 | Mathematiker; Philosoph; Mineraloge
Kaehler, Siegfried A. | 1885–1963 | Historiker; Hochschullehrer
Böhmer, Eduard | 1827–1906 | Theologe; Romanist; Bibliothekar
Lorenz, Hans | 1865–1940 | Ingenieur; Mechaniker
LASA, A 14, Nr. 245 Bd. 1: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
Hildebrand, Karl | 1873– | Wirtschaftswissenschaftler
Henze, Alfred | 1872– | Naturwissenschaftler
Lindner, Theodor | 1843–1919 | Historiker; Geheimer Rat; Lehrer; Hochschullehrer
Francke, August Hermann | 1663–1727 | Evangelischer Theologe; Pietist; Klassischer Philologe; Orientalist; Pädagoge; Pfarrer; Hochschullehrer
Cornill, Carl Heinrich | 1854–1920 | Philologe; Evangelischer Theologe; Hochschullehrer
Agricola, Rudolf | 1900–1985 | Wirtschaftswissenschaftler; Journalist; Hochschullehrer; Diplomat
Oppel, Albert | 1863–1916 | Arzt; Histologe
Derlitzki, Georg | 1889–1958 | Agrarwissenschaftler
Hinrichs, Carl | 1900–1962 | Historiker; Archivar; Historiker
Rosenfeld, Ernst Heinrich | 1869–1952 | Jurist; Hochschullehrer
Hanson, Horst | 1911–1978 | Biochemiker; Hochschullehrer
Schütz, Christian Gottfried | 1747–1832 | Philologe; Literarhistoriker; Hochschullehrer
Dernburg, Heinrich | 1829–1907 | Jurist; Politiker; Abgeordneter
Calker, Fritz van | 1864–1957 | Jurist; Politiker
Klügel, Georg Simon | 1739–1812 | Mathematiker; Physiker; Hochschullehrer
Mothes, Kurt | 1900–1983 | Biochemiker; Pflanzenphysiologe; Biologe; Apotheker; Hochschullehrer
Hertz, Friedrich | 1878–1964 | Soziologe; Historiker; Ministerialrat; Hochschullehrer
Bonnet, Hans | 1887–1972 | Ägyptologe; Hochschullehrer
Altheim, Franz | 1898–1976 | Althistoriker
LASA, A 14, Nr. 122: Einige Misshelligkeiten zwischen dem Domkapitel und dem Domherrn von Rochow
Metzger, Wolfgang | 1899–1979 | Psychologe; Hochschullehrer
Knapp, Johann Georg | 1705–1771 | Evangelischer Theologe; Pädagoge
Riehm, Eduard Karl August | 1830–1888 | Evangelischer Theologe
Konopak, Christian Gottlieb | 1767–1841 | Jurist
Buadze, Severian | 1894–1934 | Arzt; Dozent
LASA, A 14, Nr. 272: Präbende des Scholasters
Zschackwitz, Johann Ehrenfried | 1669–1744 | Jurist; Publizist
Wöhlbier, Werner | 1899–1984 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Wätjen, Julius | 1883–1963 | Arzt; Pathologe; Militärarzt; Hochschullehrer
Wüst, Albert | 1840–1901 | Agrarwissenschaftler
Wolf, Friedrich August | 1759–1824 | Klassischer Philologe; Klassischer Philologe; Altertumswissenschaftler; Hochschullehrer; Philologe
Zimmern, Heinrich | 1862–1931 | Orientalist; Klassischer Philologe; Linguist; Semitist
Wohlfahrt, Johann August | 1711–1784 | Arzt; Anatom; Hochschullehrer
Wichmann, Ottomar | 1890–1973 | Philosoph; Pädagoge; Lehrer; Schriftsteller; Hochschullehrer
Ziegler, Karl | 1898–1973 | Chemiker; Hochschullehrer; Kunstsammler
Ziemke, Ernst | 1867–1935 | Arzt; Rechtsmediziner
Wicht, Edo von | 1909–1985 | Schriftsteller; Arzt
Gerike, Peter | 1693–1750 | Anatom; Arzt; Chemiker; Hochschullehrer; Leibarzt; Hofrat; Selbstverleger
Wohltmann, Ferdinand | 1857–1919 | Agrarwissenschaftler; Hochschullehrer
Witte, Karl | 1800–1883 | Jurist; Philologe; Übersetzer; Literaturwissenschaftler
Wolters, Albrecht | 1823–1878 | Evangelischer Theologe; Historiker
Witte, Arthur | 1901–1945 | Philologe; Ethnologe; Germanist
Wolf, Jacob Gabriel | 1684–1754 | Jurist
Pott, Richard | 1844–1903 | Arzt; Kinderarzt
Wolf, Ernst | 1902–1971 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Winter, Eduard | 1896–1982 | Historiker; Katholischer Theologe; Hochschullehrer
Maass, Johann Gebhard Ehrenreich | 1766–1823 | Philosoph; Mathematiker; Liederdichter; Freimaurer
Benz, Ernst | 1907–1978 | Evangelischer Theologe; Kirchenhistoriker; Militärgeistlicher
Schardt, Alois | 1889–1955 | Kunsthistoriker; Hochschullehrer
LASH Abt. 268 Nr. 457: Manual-Protokolle
Rümker, Kurt von | 1859–1940 | Agrarwissenschaftler; Landwirt
Ewald, Albert Ludwig | 1832–1903 | Historiker; Forstwissenschaftler
Lueken, Bernd | 1908–1978 | Physiologe; Arzt
LASH Abt. 268 Nr. 416: Protokollum rev. capituli Lubicensis
Bei der Filmaufnahme ungefähr aus dem Jahr 1948 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Alltag und Tagesablauf der Familie Klaetsch vom morgendlichen Aufstehen bis zum Mittag. Dabei erhält man Einblick in das Haus und die Inneneinrichtung der Wohnung im Ackerweg der Gartenstadt Halle (Saale). Zudem wird das Verhältnis zwischen Kindern und Eltern im Alltag deutlich. Thematisch werden Körperpflege, Mahlzeiten, Haushaltstätigkeiten, Heizen sowie Reinigungsarbeiten bearbeitet. Der Schwarzweiß-Stummfilm hat eine Länge von 5:52 Minuten.
Abderhalden, Rudolf | 1910–1965 | Physiologe; Pathologe
Müller, Julius August | 1889– | Apotheker; Lebensmittelchemiker; Dozent
LASA, A 14, U 8a, von Neindorff Nr. 243a: Das Domkapitel zu Halberstadt überträgt dem Henning Leopold von Neindorf die von Jasper von Buchwald resignierte Präbende.
Juncker, Friedrich Christian | 1730–1770 | Arzt
Meier, John | 1864–1953 | Volkskundler; Germanist; Mediävist
LASH Abt. 268 Nr. 18: Exspektanzen und Provisionen auf Kanonikate
Doerne, Martin | 1900–1970 | Evangelischer Theologe; Hochschullehrer; Pfarrer
Pfeiffer, Friedrich | 1883–1961 | Mathematiker
LASH Abt. 268 Nr. 434: Protokollum rev. capituli Lubicensis: Band 31
Levy, Hermann | 1881–1949 | Volkswirt; Schriftsteller; Staatswissenschaftler; Schriftsteller
Kathe, Johannes | 1880–1965 | Arzt; Amtsarzt
Sauerwald, Franz | 1894–1979 | Chemiker; Hochschullehrer
Kuhn, Ernst | 1846–1920 | Indologe; Linguist; Philologe; Orientalist
LASA, A 14, Nr. 282: Resignation der Majorpräbende des Obristen von Schlieben
Graßmann, Hermann | 1857–1922 | Mathematiker; Gymnasiallehrer
Hollmann, Georg | 1873–1946 | Theologe; Philosoph
Menner, Erich | 1900–1966 | Biologe; Dozent
Rasch, Wolfdietrich | 1903–1986 | Philologe; Literaturwissenschaftler; Hochschullehrer
LASA, A 14, Nr. 246: Verschiedene alte und neue Präbendensachen. Primariae preces für den Markgrafen Georg Albrecht von Bayreuth; Provisionen für Blumenthal, Kannenberg, Graf von der Lippe, Marschall, Diepenbroich und Ripperda
Franzen, Adam Wilhelm | 1718–1766 | Historiker; Philosoph
Linnert, Gerhard | 1888–1948 | Gynäkologe; Militärarzt; Privatdozent
LASA, A 15, Da 16, Nr. 1391: Unvorsichtige Entleibung des Hans Pinecken, Backmeister zu Diesdorf, mit einem Dolche durch den Diesdorfer Propst Christoph von der Schulenburg
Heselhaus, Clemens | 1912–2000 | Germanist; Literaturwissenschaftler
LASH Abt. 268, Nr. 431: Protokollum rev. capituli Lubicensis: Band 28
Elliger, Walter | 1903–1985 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
Kauffmann, Friedrich | 1863–1941 | Germanist; Philologe
LASA, A 14, Nr. 244: Präbende des Herrn Geheimen Rats von Vieregk
Kirsten, Ernst | 1911–1987 | Archäologe; Geograf; Althistoriker
Franz, Karl | 1870–1926 | Arzt; Gynäkologe; Redakteur
Rosenberger, Otto August | 1800–1890 | Astronom; Mathematiker
Sowade, Johann | 1878–1944 | Hautarzt; Arzt; Militärarzt; Hochschullehrer
Schmalz, Theodor von | 1760–1831 | Jurist
Schmalfuß, Karl | 1904–1976 | Biologe; Agrarwissenschaftler; Bodenkundler
Haym, Rudolf | 1821–1901 | Philosoph; Politiker; Literarhistoriker; Hochschullehrer; Publizist
Sprengel, Matthias Christian | 1746–1803 | Historiker; Bibliothekar; Geograf; Indologe; Ethnologe; Philosoph; Polyhistor
Meckel, Johann F. | 1781–1833 | Arzt; Anatom; Chirurg; Zoologe
Albrecht, Otto | 1855–1855 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
LASA, A 14, Nr. 299: Vom König dem Grafen von Bentheim erteilte Anwartung zu einer Präbende
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die jüngste Tochter im Garten des Ackerwegs in der Gartenstadt Halle (Saale), die einen der reifen Äpfel erbittet. Es wird inszeniert, wie eine imaginierte Person und ein Vogel ihr die Bitte erfüllen. Der Schwarzweiß-Stummfilm besitzt eine Länge von 1:50 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Sierp, Hermann | 1885–1958 | Botaniker; Hochschullehrer
LASA, A 13, Nr. 1123: Den numerum und die Namen der Elekten bei dem Dom allhier, auch welcher Religion dieselben zugetan sind
LASH Abt. 268 Nr. 440: Protokollum rev. capituli Lubicensis: Band 37
Hadermann, Ernst | 1896–1968 | Germanist; Literarhistoriker
LASH Abt. 268 Nr. 424: Protokollum rev. capituli Lubicensis
Bode, Hugo | 1851–1937 | Agrarwissenschaftler; Landwirt; Hochschullehrer; Major; Hauptmann
Köstlin, Julius | 1826–1902 | Evangelischer Theologe
LASH Abt. 268 Nr. 446: Protokollum rev. capituli Lubicensis: Band 43
LASH Abt. 260 Nr. 24: Wahl des Prinzen Friedrich von Dänemark zum Koadjutor im Hochstift Lübeck
LASH Abt. 260 Nr. 2129: Regierung Eutin: Wahl des Dechanten von 1712
Schneider, Max | 1875–1967 | Musikwissenschaftler; Hochschullehrer; Kapellmeister; Dirigent
LASH Abt. 260 Nr. 29: Kaiserliche konfirmiertes Pactum successiorium zwischen Bischof Peter Friedrich Ludwig und dem Domkapitel hinsichtlich der Bischofs- und Koadjutorwahlen im Hochstift Lübeck
Merkel, Franz Rudolf | 1881–1955 | Hochschullehrer; Religionswissenschaftler; Pfarrer; Militärgeistlicher
Clemen, Carl Christian | 1865–1940 | Evangelischer Theologe; Hochschullehrer
Mueller, Berthold | 1898–1976 | Hochschullehrer; Arzt; Rechtsmediziner; Medizinhistoriker
Loofs, Friedrich | 1858–1928 | Lutherischer Theologe; Kirchenhistoriker; Hochschullehrer; Konsistorialrat; Rektor
Frischeisen-Köhler, Max | 1878–1923 | Philosoph; Psychologe; Pädagoge
Husserl, Edmund | 1859–1938 | Philosoph; Hochschullehrer
Lippmann, Edmund von | 1857–1940 | Unternehmer; Chemiker; Wissenschaftshistoriker
Hultzsch, Eugen | 1857–1927 | Indologe; Philologe; Epigraphiker; Hochschullehrer
Boeminghaus, Hans | 1893–1979 | Urologe; Arzt; Chirurg; Hochschullehrer
Bumm, Ernst | 1858–1925 | Arzt; Gynäkologe; Naturwissenschaftler
LASH Abt. 268 Nr. 432: Protokollum rev. capituli Lubicensis: Band 29
Freund, Richard | 1872–1942 | Arzt; Gynäkologe; Hochschullehrer
Ritter, Otto | 1876–1963 | Philologe; Anglist; Hochschullehrer
Sperlette, Johann | 1661–1724 | Philosoph
Isele, Hellmut Georg | 1902–1987 | Jurist; Hochschullehrer
LASA, A 14, Nr. 201: Wahl, Introduktion, Residenz und Resignation des Domdechanten Christian Friedrich Grafen zu Stollberg [so!]
Baumgarten, Alexander Gottlieb | 1714–1762 | Philosoph; Hochschullehrer
Rachfahl, Felix | 1867–1925 | Historiker
Mering, Josef | 1849–1908 | Arzt; Physiologe; Pharmakologe; Internist
Blume, Wilhelm von | 1867–1927 | Jurist; Abgeordneter
Bei der Filmaufnahme von ca. 1948/49 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt im Freien spielende Kinder im Garten des Ackerwegs in der Gartenstadt Halle (Saale). Die älteste Tochter tritt als Zauberkünstler(in) „Hildingisi“ auf und wird von den beiden jüngeren Schwestern assistiert. Dabei kommen mehrere Verwandlungstricks vor, die durch filmische Tricks ergänzt werden. Der Film besitzt eine Länge von 2:00 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Serauky, Walter | 1903–1959 | Musikwissenschaftler; Hochschullehrer; Herausgeber
Collitz, Hermann | 1855–1935 | Linguist; Germanist; Philologe
Sellius, Godefroy | 1704–1767 | Jurist; Hofrat; Naturwissenschaftler; Übersetzer
Nitschke, Alfred | 1898–1960 | Kinderarzt; Arzt; Hochschullehrer
Hollander, Heinrich von | 1853–1920 | Jurist; Hochschullehrer; Rechtsanwalt
Hülse, Walter | 1887– | Arzt; Hochschullehrer
LASH Abt. 268 Nr. 425: Protokollum rev. capituli Lubicensis Band 22
Jacobi, Justus Ludwig | 1815–1888 | Kirchenhistoriker; Evangelischer Theologe; Hochschullehrer
Cellarius, Christoph | 1638–1707 | Historiker; Klassischer Philologe; Orientalist; Gymnasiallehrer; Hochschullehrer
Lang, Richard | 1882–1935 | Geologe; Agrikulturchemiker; Bodenkundler; Hochschullehrer
Dörries, Hermann | 1895–1977 | Kirchenhistoriker; Theologe; Hochschullehrer
Stahl, Georg Ernst | 1659–1734 | Arzt; Chemiker; Hochschullehrer; Leibarzt
Alverdes, Friedrich | 1889–1952 | Zoologe
Scharff, Alexander | 1892–1950 | Ägyptologe; Kurator <Museumskunde>; Hochschullehrer
LASA, A 14, Nr. 274: Vom König dem Baron von Ketteler anno 1728, dem Generalleutnant von Schwerin anno 1738, dem Obrist von Löben anno 1742 konferierte Majorpräbenden und dem von Bucholz 1745 erteilte Erlaubnis zu resignieren
Rehme, Paul | 1867–1941 | Jurist; Hochschullehrer
Löwe, Hans | 1903–1989 | Landwirt; Tierzüchter
Mulert, Hermann | 1879–1950 | Evangelischer Theologe
LASA, A 14, Nr. 308: Beantwortung verschiedener, die Erbpräbende angehender Fragen
Kromayer, Ernst | 1862–1933 | Arzt; Hautarzt; Hochschullehrer
Elze, Karl | 1821–1889 | Philologe; Anglist; Literarhistoriker
Oeschey, Rudolf | 1879–1944 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 39: Domherrenverzeichnisse
Gellhorn, Ernst | 1893–1973 | Arzt; Physiologe; Hochschullehrer
Berndt, Erhard | 1900– | Agrarwissenschaftler
Heinzelmann, Gerhard | 1884–1951 | Lutherischer Theologe; Pfarrer; Hochschullehrer
Elster, Ludwig | 1856–1935 | Verwaltungsbeamter; Hochschullehrer; Volkswirt; Ministerialrat
Koeppe, Leonhard | 1884–1969 | Augenarzt; Hochschullehrer
Schmitz, Friedrich Karl Johann | 1850–1895 | Botaniker
Golf, Arthur | 1877–1941 | Tierzüchter; Agrarwissenschaftler
LASA, A 13, Nr. 1138: Die Elektenpräbenden
Hartung, Fritz | 1884–1973 | Jurist; Hochschullehrer; Richter; Beisitzer
Brode, Reinhold | 1856–1929 | Historiker; Lehrer
Krause, Johann Heinrich | 1800–1882 | Klassischer Philologe; Archäologe; Privatdozent
Heck, Philipp | 1858–1943 | Jurist; Hochschullehrer
Rudolph, Albert | 1901– | Wirtschaftsgeograf; Hochschullehrer
Herbst, Wilhelm | 1825–1882 | Pädagoge; Schriftsteller; Klassischer Philologe; Schulleiter; Historiker
Gericke, Wolfgang | 1914–1993 | Pfarrer; Evangelischer Theologe; Kirchenhistoriker
LASH Abt. 268 Nr. 439: Protokollum rev. capituli Lubicensis: Band 36
Marek, Gustav | 1840–1896 | Agrarwissenschaftler; Physiologe
Klostermann, Erich | 1870–1963 | Patristiker; Theologe; Klassischer Philologe; Geistlicher; Hochschullehrer
Lüthge, Heinrich | 1899– | Oberregierungsrat; Ministerialrat; Diplomlandwirt; Dozent
Gelb, Adhémar | 1887–1936 | Psychologe; Hochschullehrer
Beck, Jacob Sigismund | 1761–1840 | Philosoph; Hochschullehrer
Steffens, Henrik | 1773–1845 | Naturwissenschaftler; Philosoph; Schriftsteller; Hochschullehrer
LASH Abt. 268 Nr. 414: Protokollum rev. capituli Lubicensis
Anton, Paul | 1661–1730 | Evangelischer Theologe; Pietist; Pfarrer; Hofprediger; Superintendent; Hochschullehrer; Prorektor
Alverdes, Kurt | 1896–1959 | Arzt; Militärarzt; Hochschullehrer
Bleier, Hubert | 1896–1979 | Diplomlandwirt; Genetiker; Pflanzenzüchter
Roux, Wilhelm | 1850–1924 | Biologe; Naturphilosoph; Anatom
Siefert, Ernst | 1874–1940 | Arzt; Rechtsmediziner; Schiffsarzt; Militärarzt; Hochschullehrer
Gallwitz, Hans | 1896–1958 | Geologe; Paläontologe
Dähne, August Ferdinand | 1807–1878 | Evangelischer Theologe; Philosoph
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von | 1884–1964 | Zoologe; Hochschullehrer
Buddenbrock-Hettersdorff, Wolfgang, Freiherr von
Gerhardt, Ulrich | 1875–1950 | Zoologe; Militärarzt; Hochschullehrer; Widerstandskämpfer
Brieger, Theodor | 1842–1915 | Evangelischer Theologe; Kirchenhistoriker
Stenzel, Julius | 1883–1935 | Philosoph; Klassischer Philologe; Lehrer; Hochschullehrer
LASH Abt. 268, Nr. 430: Protokollum rev. capituli Lubicensis: Band 27
Matz, Friedrich | 1843–1874 | Archäologe; Klassischer Philologe; Hochschullehrer
Litzner, Stillfried | 1897–1972 | Arzt; Internist; Hochschullehrer
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung und Einschulung einer der Töchter im Herbst 1942. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Wahrnehmung der Bekanntmachung, Kauf und Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Der Film hat eine Länge von 13:12 Minuten.
Inge wird ein Schulkind (Einschulung 1942)
Bilfinger, Carl | 1879–1958 | Staatsrechtslehrer; Hochschullehrer; Richter
Behmann, Heinrich | 1891–1970 | Mathematiker; Logiker; Hochschullehrer
Reitzenstein, Erich | 1897–1976 | Klassischer Philologe; Hochschullehrer
Flörcke, Johann Ernst von | 1695–1762 | Jurist; Hochschullehrer; Politiker; Hofrat; Regierungsrat; Geheimer Rat
Bahrfeldt, Max von | 1856–1936 | Numismatiker; Offizier; Hochschullehrer
Leser, Edmund | 1853–1916 | Arzt; Chirurg
Andree, Julius | 1889–1942 | Paläontologe; Prähistoriker
Jürgens, Enno | 1849–1907 | Mathematiker
LASH Abt. 260 Nr. 28: Differenzen des Domkapitels mit dem kaiserlichen Hofe wegen der jedesmaligen Abordnung eines kaiserlichen Kommissars bei der vorzunehmenden Wahl des Bischofs oder Koadjutors im Hochstift Lübeck und wegen der verlangten jedesmaligen Nachsuchung der Konfirmation über die getroffene Wahl, ferner die Resignation des Prinzen Peter Friedrich Wilhelm auf seine Koadjuterie, die Wahl des Herzogs Peter Friedrich Ludwig zum Koadjutor und dessen Wahlkapitulation 1776
LASH Abt. 260 Nr. 2130: Regierung Eutin: Differenzen wegen Ausnahmebewilligungen (Dispensationsdifferentien) mit dem Domkapitel zu Lübeck in durch göttliches Gesetz vorgeschriebenen Schritten (in gradibus lege divina haut prohibitis)
LASH Abt. 268 Nr. 10: Kanonikate überhaupt
Bei der Filmaufnahme von ca. 1948 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt im Freien spielende Kinder vor dem Haus im Ackerweg in der Gartenstadt Halle (Saale). Der Film besitzt eine Länge von 3:03 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Chronik Turnen und im Garten der Familie
Praetorius, Franz | 1847–1927 | Orientalist; Philologe
Montfort, Camill | 1890–1956 | Botaniker; Hochschullehrer
Mulertt, Werner | 1892–1944 | Romanist; Hochschullehrer
Mencken, Johann Kaspar Ludwig | 1752–1795 | Jurist
LASH Abt. 268 Nr. 542: Chronologischer Index zu den Bänden 35-42 des Kapitels-Protokolle (Nr. 438-445)
Leipoldt, Johannes | 1880–1965 | Historiker; Religionswissenschaftler; Diakon
Rojahn, Carl August | 1889–1938 | Hochschullehrer; Chemiker
Reess, Max | 1845–1901 | Botaniker; Biologe
Dohna, Alexander zu | 1876–1944 | Jurist; Burggraf
LASA, A 13, Nr. 1135, Die in mense capituli vakant gewordenen Präbenden bei dem Domstift zu Halberstadt
Alt, Albrecht | 1883–1956 | Theologe; Alttestamentler; Archäologe; Hochschullehrer; Pfarrer; Historiker
Hilkenbäumer, Friedrich | 1909–1976 | Agrarwissenschaftler; Gärtner
Barnikol, Ernst | 1892–1968 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Piersig, Johannes | 1907–1998 | Komponist; Organist; Kirchenmusiker; Jurist; Arrangeur; Herausgeber
Peucker, Johann Georg Gottlieb | 1764–1830 | Philologe
Bathe, Johann Christoph | 1754–1818 | Jurist
Müller, Otto | 1885–1964 | Elektroingenieur; Physiker; Hochschullehrer
LASA, A 14, Nr. 67: Provisiones und Emanzipationes, zum Teil in original, zum Teil in copia
Nachtweh, Alwin | 1868–1939 | Ingenieur; Techniker
LASA, A 13, Nr. 1112: Verzeichnis der am 21.01.1636 im Kapitel gewesenen Domherrn, nebst Anzeige wie sie zu ihren Präbenden gekommen sind
Ersch, Johann Samuel | 1766–1828 | Bibliothekar; Bibliograf; Lexikograf; Literarhistoriker; Hochschullehrer
Erismann, Theodor | 1883–1961 | Psychologe; Hochschullehrer; Philosoph
Ruville, Albert von | 1855–1934 | Historiker; Hochschullehrer
Geisler, Walter | 1891–1945 | Geograf; Kartograf; Hochschullehrer; Raumplaner
Fritsch, Heinrich | 1844–1915 | Gynäkologe; Arzt
Gerlach, Werner | 1891–1963 | Pathologe; Arzt; Hochschullehrer; Militärarzt; Diplomat
Karsten, Wenceslaus Johann Gustav | 1732–1787 | Mathematiker; Hochschullehrer; Physiker
Schneider, Ferdinand Josef | 1879–1954 | Germanist; Literarhistoriker; Philologe; Hochschullehrer
LASA, A 14, Nr. 241: Das am 16ten Mai 1805 erfolgte Ableben des Herrn Domkapitularen und Portanarii Friedrich Eberhard v. Rochow und das hiernächst dem Herrn Domkapitular von der Horst von des Königs Majestät konferierte Portanariat, ingleichen das kurz darauf erfolgte Ableben des Herrn Portanarii von der Horst und Introduktion des Domkapitularen und Landrats von Pannewitz
Noll, Fritz | 1858–1908 | Botaniker; Schriftsteller
LASA, A 14, Nr. 270: Vom Landesherrn den Domkapitularen erteilte Dispensationen von Beiwohnung der drei Remigiikapitel und der gewöhnlichen Residenz
Eckert-Möbius, Adolf | 1889–1976 | Arzt; Militärarzt; Hochschullehrer
Heim, Karl | 1874–1958 | Evangelischer Theologe; Hochschullehrer; Philosoph
Ebers, Johann | 1742–1818 | Beamter; Literaturwissenschaftler
Sattelmacher, Paul | 1879–1947 | Jurist; Richter; Ministerialrat
Henrici, Heinrich | 1673–1728 | Arzt; Hochschullehrer; Leibarzt
LASA, A 14, Nr. 245 Bd. II: Domkapitularische, olim mecklenburgische, dann kurprinzliche Erbpräbende, deren Erhandlung und nachherige Kollation
Klotz, Christian Adolf | 1738–1771 | Philologe; Philosoph; Bibliothekar; Schriftsteller; Satiriker
Ackermann, Theodor | 1825–1896 | Arzt; Pathologe; Hochschullehrer
Carrach, Johann Philipp von | 1730–1769 | Jurist
LASH Abt. 268 Nr. 443: Protokollum rev. capituli Lubicensis: Band 40
LASA, A 14, Nr. 285: Die dem General von Schwerin konferierte Ripperdaische Präbende; item dessen Prätension in den Platz des verstorbenen Herrn von Ripperda gesetzt zu werden
Preisker, Herbert | 1888–1952 | Evangelischer Theologe
LASA, A 14, Nr. 116: Elektion im Jahr 1782
LASA, A 14, Nr. 275: Herrn von Vieregks Prätension wegen Genusses der Präsentien und das als perpetuus Commissarius capituli zu Berlin zu habende Fixum von 133 Reichstalern
Brockelmann, Carl | 1868–1956 | Orientalist; Semitist; Turkologe; Hochschullehrer
Fischer, Hans Albrecht | 1874–1942 | Jurist; Hochschullehrer
Doetsch, Gustav | 1892–1977 | Mathematiker; Hochschullehrer; Offizier
Jensen, Paul | 1868–1952 | Physiologe; Arzt
Kirchhoff, Alfred | 1838–1907 | Pädagoge; Geograf; Hochschullehrer
Goeters, Wilhelm | 1878–1953 | Kirchenhistoriker; Hochschullehrer
Hildebrandt, Hermann | 1866–1912-09 | Arzt
LASH Abt. 268 Nr. 408: Protocollum causarum capitularium ecclesie Lubicensis
LASA, A 14, Nr. 202: Wahl des Dechanten von Alvensleben
Bartholomae, Christian | 1855–1925 | Iranist; Linguist; Orientalist
Scholder, Rudolf | 1896–1973 | Chemiker; Hochschullehrer
Friedländer, Paul | 1882–1968 | Philologe; Klassischer Philologe; Hochschullehrer
Elchlepp, Friedrich Wilhelm | 1897–1956 | Lehrer
Goldschmidt, Adolph | 1863–1944 | Kunsthistoriker; Hochschullehrer
Bramann, Fritz Gustav von | 1854–1913 | Arzt; Chirurg
Meusel, Hermann | 1909–1997 | Botaniker; Biologe
LASH Abt. 268 Nr. 455: Manual-Protokolle
Hausen, Carl Renatus | 1740–1805 | Historiker; Bibliothekar; Hochschullehrer
Beneke, Rudolf | 1861–1946 | Pathologe; Arzt; Hochschullehrer
Anschütz, August | 1826–1874 | Jurist; Hochschullehrer
Haecker, Valentin | 1864–1927 | Zoologe; Genetiker; Hochschullehrer
Bühler, Ottmar | 1884–1965 | Jurist; Wirtschaftsjurist; Hochschullehrer
LHAS, (2.12-3/1-1) 162: Notizen G. C. F. Lischs zur Bistumsgeschichte, besonders zur Personengeschichte, und zum Stift Bützow
LHAS, (2.12-3/1-1) 152: Entwurf zu einem Statut für das (evangelische) Bistum Schwerin
LHAS, (2.12-3/1-1) 108: Höfe und Kurien der Domkapitulare in Schwerin
LHAS, (2.12-3/1-1) 99: Gravamina des Schweriner Domkapitels
Härtel, Fritz | 1877–1940 | Chirurg; Arzt; Hochschullehrer; Schiffsarzt; Militärarzt
LHAS, (2.12-3/1-1) 47: Verschiedene Streitigkeiten um die Schulden des Domdekans Ulrich Wackerbarth
LHAS, (2.12-3/1-1) 46: Die Dekanatsgefälle des Ulrich Wackerbarth und das Gut Rampe
LHAS, (2.12-3/1-1) 66: Canonici - Stellenbesetzungen, auch durch kaiserliche Erste Bitten
LHAS, (2.12-3/1-1) 65: Canonici - Schweriner Domherren, ihre Aufnahme und Hebungen
LHAS, (2.12-3/1-1) 111: Geheimbuch des Schweriner Domkapitels
LHAS, (2.12-3/1-1) 10: Archiv des Schwerinschen Stifts
Jahn, Wilhelm | 1873–[XXXX] | Orientalist; Dozent
LHAS, (2.12-3/1-1) 13: Beneficia: Präbenden und Vikarien des Schwerinschen Stifts
LHAS, (2.12-3/1-1) 44: Angelegenheiten der Domherren
Lamprecht, Georg Friedrich von | 1759–1810 | Jurist; Wirtschaftswissenschaftler; Hochschullehrer; Selbstverleger
Liepmann, Moritz | 1869–1928 | Jurist; Hochschullehrer; Richter
Cantor, Georg | 1845–1918 | Mathematiker
Muhs, Karl | 1891–1954 | Wirtschaftswissenschaftler
Kraatz-Koschlau, Karl von | 1867–1900 | Geologe
LASA, A 14, Nr. 287: Wappen und Namen der Domherren zu Halberstadt, wie solche von 1740 an in dem Stiftskalender gestanden haben
LASH Abt. 268 Nr. 449: Protokollum rev. capituli Lubicensis: Band 46
LASH Abt. 260 Nr. 23: Wahl des Herzogs Friedrich August von Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation, sowie die Resignation des Kronprinzen Carl Friedrich von Schweden auf das Bistum
LASH Abt. 260 Nr. 21: Wahl des Herzogs Adolph Friedrich zum Bischof im Hochstift Lübeck
Knorre, Carl Gottlieb | 1696–1753 | Jurist; Geheimer Rat
Krohn, August | 1840–1890 | Philosoph; Lehrer
Schumann, Friedrich Karl | 1886–1960 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Hochschullehrer
Pietrusky, Friedrich | 1893–1971 | Rechtsmediziner; Rektor; Hochschullehrer
Rive, Richard Robert | 1864–1947 | Oberbürgermeister; Jurist
Gunkel, Hermann | 1862–1932 | Evangelischer Theologe; Alttestamentler; Hochschullehrer
Schmidt, Karl Eduard Franz | 1862–1946 | Physiker; Hochschullehrer
Abderhalden, Emil | 1877–1950 | Chemiker; Biologe; Physiologe; Biochemiker; Hochschullehrer
Schleiermacher, Friedrich | 1768–1834 | Evangelischer Theologe; Pädagoge; Übersetzer; Philosoph; Hochschullehrer; Prediger; Schriftsteller
Der Film spielt etwa zwischen Februar und April 1944, nimmt aber auch Szenen aus ca. Oktober 1944 und Juni 1945 auf. Er zeigt zunächst die Kinder beim Spiel mit ihren Puppen, dann die hochschwangere Mutter und die Vorbereitung der Familie auf die Geburt der jüngsten Tochter. Aus der Zeit nach der Geburt folgen Bilder von der Körperpflege des Kindes, vom Stillen, vom Liegen in Bett und Kinderwagen sowie andere Szenen des Kleinkindalters. Weitere Szenen zeigen das Füttern von Gisela mit ca. sechs Monaten sowie nach mehr als zwölf Monaten. Hier wird der Haushalt und die Innenausstattung des Hauses im Ackerweg der Gartenstadt Halle (Saale), später auch der Gartenbereich gezeigt. Der Schwarzweiß-Stummfilm besitzt eine Länge von 12:32 Minuten.
Hölscher, Gustav | 1877–1955 | Theologe; Alttestamentler; Philologe; Hochschullehrer
Clausen, Wilhelm | 1878–1961 | Augenarzt; Militärarzt; Hochschullehrer
Riehl, Alois | 1844–1924 | Philosoph; Hochschullehrer
Solger, Bernhard Friedrich | 1849–1935 | Arzt
LASA, A 14, Nr. 111: Sammlung von Nachrichten über die Statuten und Observanzen bei Aufnahme der Kapitularen und Elekten
Meckel, Philipp Friedrich Theodor | 1755–1803 | Arzt
Gehrig, Hans | 1882–1968 | Volkswirt; Wirtschaftswissenschaftler; Staatswissenschaftler; Hochschullehrer
Zeitraum: Gesamtlaufzeit 1713 - 1756 , vermutlich die ersten Jahre davon
LASA, A 14, Nr. 263, Bd. I: Vom König erteilte Expektanzen und Kollationspatente
Frese, Otto | 1871–1955 | Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
Noack, Erwin | 1899–1967 | Rechtsanwalt; Notar; Funktionär; Nationalsozialist
Grünfeld, Ernst | 1883–1938 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer
Frölich, Gustav | 1879–1940 | Agrarwissenschaftler; Hochschullehrer
Roloff, Friedrich Heinrich | 1830–1885 | Tierarzt
Grötzsch, Herbert | 1902–1993 | Mathematiker
Disselhorst, Rudolf | 1854–1930 | Arzt; Tierarzt; Landwirt; Hochschullehrer; Repetitor
Deutschbein, Max | 1876–1949 | Philologe; Anglist; Hochschullehrer
Alberti, Michael | 1682–1757 | Arzt; Philosoph; Hochschullehrer; Physiker; Schriftsteller
Pose, Heinz | 1905–1975 | Physiker; Atomphysiker; Hochschullehrer
Dietzel, Karl Heinrich | 1893–1951 | Geograf; Ethnologe
Japha, Arnold | 1877–1943 | Arzt; Anthropologe; Zoologe; Militärarzt; Schiffsarzt; Hochschullehrer
Drigalski, Wolf von | 1907–1943 | Arzt; Internist; Dozent
LASA, A 14, Nr. 261: Dem Herrn von Ende nach Absterben des Subseniors von Neindorf konferierte Präbende
Schulz, August | 1862–1922 | Botaniker; Arzt; Hochschullehrer
Palme, Franz | 1907–1960 | Arzt; Hochschullehrer
Jahn, Kurt | 1873–1915 | Literarhistoriker
Scheibe, Max | 1870–1902 | Evangelischer Theologe
Leydolph, Walter | 1903–1969 | Agrarwissenschaftler; Tierzüchter
Smend, Rudolf | 1851–1913 | Alttestamentler; Theologe; Semitist
Frauendienst, Werner | 1901–1966 | Historiker; Hochschullehrer
Siebert, Wolfgang | 1905–1959 | Jurist; Gerichtsassessor; Hochschullehrer
Neumann, Ernst Richard | 1875–1955 | Mathematiker; Physiker
Buddeus, Johann Franz | 1667–1729 | Evangelischer Theologe; Philosoph; Orientalist; Hochschullehrer; Gymnasiallehrer
Küstner, Otto | 1849–1931 | Gynäkologe; Hochschullehrer; Arzt
Reuter, Johann Hartwig | 1725–1773 | Jurist; Hochschullehrer
Clauswitz, Benedikt Gottlieb | 1692–1749 | Theologe; Religionswissenschaftler; Diakon; Pfarrer
Credner, Rudolf | 1850–1908 | Geograf; Geologe; Physiker; Hochschullehrer
Springmeyer, Heinrich | 1897–1971 | Philosoph
Justi, Ludwig | 1876–1957 | Kunsthistoriker; Generaldirektor; Denkmalpfleger; Geheimer Rat; Kurator <Museumskunde>
Kern, Otto | 1863–1942 | Philologe; Klassischer Philologe; Hochschullehrer; Bibliothekar
Rambach, Johann Jakob | 1693–1735 | Evangelischer Theologe; Kirchenlieddichter; Pfarrer; Superintendent; Hochschullehrer; Schulleiter
Nuehsmann, Theodor | 1885–1962 | Arzt; Hochschullehrer
Schmidt, Friedrich Wilhelm | 1893–1945 | Theologe; Seelsorger; Religionslehrer; Hochschullehrer
Vetter, Walther | 1891–1967 | Musikwissenschaftler; Herausgeber; Dozent; Hochschullehrer; Militärmusiker
Vogel, Georg Johann Ludwig | 1742–1776 | Theologe; Hebraist
Voelcker, Friedrich | 1872–1955 | Arzt; Chirurg; Hochschullehrer
Vogel, Julius | 1814–1880 | Arzt; Pathologe; Hochschullehrer
Velhagen, Karl | 1897–1990 | Augenarzt; Hochschullehrer
Veit, Johann | 1852–1917 | Gynäkologe; Männliche Hebamme
Trapp, Ernst Christian | 1745–1818 | Schriftsteller; Pädagoge; Lehrer; Schulleiter; Philanthrop
Tillich, Paul | 1886–1965 | Religionsphilosoph; Evangelischer Theologe; Philosoph; Vikar; Militärgeistlicher; Hochschullehrer
Thurnwald, Richard | 1869–1954 | Ethnologe; Soziologe; Jurist; Forschungsreisender
Thierfelder, Andreas | 1903–1986 | Klassischer Philologe; Hochschullehrer; Philologe
Tholuck, August | 1799–1877 | Evangelischer Theologe; Neutestamentler; Schriftsteller
Thunmann, Johann | 1746–1778 | Historiker; Philologe; Ethnologe; Bibliothekar
Thieme, Paul | 1905–2001 | Indologe; Linguist; Religionswissenschaftler
Threlfall, William | 1888–1949 | Mathematiker
Thomae, Johannes | 1840–1921 | Mathematiker
Tschischwitz, Benno | 1828–1890 | Pädagoge; Philologe; Gymnasiallehrer; Schriftsteller; Oberlehrer
Tschermak-Seysenegg, Armin von | 1870–1952 | Tierarzt; Physiologe; Arzt
Uxkull-Gyllenband, Woldemar | 1898–1939 | Historiker; Althistoriker; Hochschullehrer
Unger, Rudolf | 1876–1942 | Literarhistoriker; Germanist; Hochschullehrer
Tschackert, Paul | 1848–1911 | Theologe; Historiker; Kirchenhistoriker
Tuhr, Andreas von | 1864–1925 | Jurist; Hochschullehrer
Tornier, Erhard | 1894–1982 | Mathematiker; Hochschullehrer
Utitz, Emil | 1883–1956 | Philosoph; Psychologe; Hochschullehrer
Vater, Johann Severin | 1771–1826 | Linguist; Evangelischer Theologe; Hochschullehrer
Vahlen, Ernst Heinrich | 1865–1941 | Arzt; Physiologe; Pharmakologe; Hochschullehrer
Ursin, Theodor Christoph | 1702–1748 | Philosoph; Arzt
Ule, Willi | 1861–1940 | Geograf; Limnologe; Kunstsammler; Hochschullehrer
Vaihinger, Hans | 1852–1933 | Philosoph; Pädagoge; Hochschullehrer
Tubandt, Carl | 1878–1942 | Chemiker; Hochschullehrer
Tänzer, Ernst | 1891–1933 | Zoologe; Mathematiker; Zoologe
Uphues, Goswin Karl | 1841–1915 | Philosoph
Ulrici, Hermann | 1806–1883 | Philosoph; Philosoph
Wahl, Samuel Friedrich Günther | 1760–1834 | Orientalist; Übersetzer
Waetzoldt, Wilhelm | 1880–1945 | Kunsthistoriker; Bibliothekar; Generaldirektor; Hochschullehrer
Vorkastner, Willy | 1878–1931 | Psychiater; Arzt; Rechtsmediziner; Gefängnisarzt; Hochschullehrer
Waentig, Heinrich | 1870–1943 | Volkswirt; Hochschullehrer; Politiker; Innenminister
Voretzsch, Karl | 1867–1947 | Romanist; Philologe; Oberleutnant; Regierungsrat
Wackernagel, Martin | 1881–1962 | Kunsthistoriker; Hochschullehrer
Wagner, Albrecht | 1850–1909 | Anglist; Literarhistoriker; Germanist
Vries, Hugo de | 1848–1935 | Botaniker; Physiologe; Genetiker
Voigtel, Traugott Gotthold | 1766–1843 | Genealoge; Historiker; Philosoph; Germanist; Gymnasiallehrer; Hochschullehrer; Bibliothekar
Volkmann-Leander, Richard von | 1830–1889 | Schriftsteller; Lyriker; Erzähler; Chirurg; Hochschullehrer
Voigt, H. G. | 1860–1933 | Kirchenhistoriker; Evangelischer Theologe; Historiker; Hochschullehrer
Walther, Johannes | 1860–1937 | Geologe; Paläontologe; Biologe; Hochschullehrer
Wangerin, Albert | 1844–1933 | Mathematiker; Oberlehrer; Lehrer; Hochschullehrer
Volhard, Franz | 1872–1950 | Arzt; Internist; Pathologe; Hochschullehrer
Volhard, Jakob | 1834–1910 | Chemiker; Arzt; Naturwissenschaftler
Voigt, Ehrhard | 1905–2004 | Geologe; Paläontologe
Volkmann, Johannes | 1889–1982 | Chirurg
Weber, Hans | 1892–1965 | Geologe; Gymnasiallehrer; Studienrat; Hochschullehrer; Schriftsteller
Weber, Hans Emil | 1882–1950 | Evangelischer Theologe; Theologe; Hochschullehrer
Weber, Andreas | 1718–1781 | Philologe; Theologe; Dozent; Freimaurer
Warneck, Gustav | 1834–1910 | Theologe; Evangelischer Theologe
Weber, Carl | 1858–1935 | Gymnasiallehrer; Romanist
Walter, Heinrich | 1864–1907 | Geologe; Hochschullehrer
Weber, Christian | 1728–1762 | Philosoph
Weber, Rudolf | 1894– | Hochschullehrer; Zahnarzt
Weil, Arthur | 1887–1969 | Arzt; Tierarzt; Neuropathologe; Physiologe; Endokrinologe; Sexualwissenschaftler; Hochschullehrer
Weinreich, Otto | 1886–1972 | Philologe; Klassischer Philologe; Religionswissenschaftler
Welcker, Hermann | 1822–1897 | Anatom; Hochschullehrer; Anthropologe; Arzt
Wellhausen, Julius | 1844–1918 | Orientalist; Theologe; Philologe; Historiker
Wellek, Albert | 1904–1972 | Psychologe; Philosoph; Hochschullehrer; Lehrer
Weisbach, Walter | 1889–1962 | Hochschullehrer; Arzt; Militärarzt
Weinhold, Karl August | 1782–1829 | Arzt
Weitz, Ernst | 1883–1954 | Chemiker; Hochschullehrer
Ziehen, Theodor | 1862–1950 | Psychologe; Neurologe; Arzt; Psychiater; Philosoph; Hochschullehrer
Zahn, Gustav Wilhelm von | 1871–1946 | Geograf; Hochschullehrer
Zastrau, Alfred | 1906–1981 | Philologe; Anthropologe; Theaterwissenschaftler
Zachariae, Theodor | 1851–1934 | Indologe; Philologe; Hochschullehrer
Zacher, Julius | 1816–1887 | Germanist; Bibliothekar
Zacher, Konrad | 1851–1907 | Klassischer Philologe
Wüst, Ewald | 1875–1934 | Geologe; Paläontologe
Wiedenfeld, Kurt | 1871–1955 | Diplomat; Geograf; Jurist; Beisitzer; Redakteur; Regierungsrat; Hochschullehrer; Volkswirt; Wirtschaftswissenschaftler
Wolff, Ferdinand von | 1874–1952 | Mineraloge; Geologe; Hochschullehrer
Wiese, Berthold | 1859–1932 | Pädagoge; Romanist; Gymnasiallehrer; Hochschullehrer; Lehrer
Wiedeburg, Friedrich | 1708–1758 | Historiker; Philosoph
Winkler, W. F. | 1890–1972 | Arzt; Direktor
Wigand, Albert | 1882–1932 | Physiker; Meteorologe; Hochschullehrer
Wollenberg, Robert | 1862–1942 | Arzt; Psychiater
Winternitz, Hugo | 1868–1934 | Internist; Physiologe; Arzt; Hochschullehrer
Wilcken, Ulrich | 1862–1944 | Althistoriker; Historiker; Papyrologe; Geheimer Rat
Woltaer, Johann Christian | 1744–1815 | Jurist
Wiltheiss, Ernst Eduard | 1855–1900 | Mathematiker
Wittsack, Richard | 1887–1952 | Linguist
Wolf, Karl Lothar | 1901–1969 | Chemiker
Wiener, Hermann | 1857–1939 | Mathematiker
Buchholz, Hugo Ferdinand | 1866–1921 | Astronom; Mathematiker
Heidenhain, Rudolf | 1834–1897 | Arzt; Physiologe
Schwarz, Hermann | 1864–1951 | Philosoph; Schriftsteller; Nationalsozialist
Eisler, Paul | 1862–1935 | Arzt; Anatom; Prosektor; Hochschullehrer
Niemeyer, Theodor | 1857–1939 | Jurist; Hochschullehrer
Schöne, Richard | 1840–1922 | Archäologe; Philologe
LASH Abt. 268 Nr. 420: Protokollum rev. capituli Lubicensis
Zobel, Hans-Jürgen | 1928–2000 | Evangelischer Theologe; Hochschullehrer; Abgeordneter; Politiker; Präses
Nürnberger, Ludwig | 1884–1959 | Gynäkologe; Militärarzt; Hochschullehrer
Wertheimer, Ernst | 1893–1978 | Physiologe; Arzt; Militärarzt; Hochschullehrer
Werminghoff, Albert | 1869–1923 | Historiker; Kirchenhistoriker; Hochschullehrer
Wernicke, Konrad | 1862–1900 | Archäologe; Klassischer Philologe; Dozent
Westphal, Ernst Christian | 1737–1792 | Jurist
Wetzel, Georg | 1871–1951 | Arzt; Anatom; Hochschullehrer
Wernicke, Carl | 1848–1905 | Psychiater; Neurologe
Finck, Otto | 1895–1992 | Pfarrer; Evangelischer Theologe
Zimmermann, Liborius | 1702–1734 | Evangelischer Theologe; Hofprediger; Konsistorialrat; Lehrer
Zitelmann, Ernst | 1852–1923 | Jurist; Schriftsteller
Polenske, Karl | 1881–1949 | Hochschullehrer; Jurist; Schriftsteller
Semler, Johann Salomo | 1725–1791 | Evangelischer Theologe; Alchemist; Schriftsteller; Philologe
Wussow, Werner | 1903–1969 | Agrarwissenschaftler
Landesarchiv Schleswig-Holstein Abt. 260 Nr. 26
LASH Abt. 260 Nr. 26: Resignation des Prinzen Friedrich von Dänemark auf seine Koadjuterie und die Wahl des Prinzen Peter Friedrich Wilhelm zu Holstein-Gottorf zum Koadjutor im Hochstift Lübeck und dessen Kapitulation
LASH Abt. 260 Nr. 22: Stiftsregierung in Abwesenheit des Bischofs Adolph Friedrich im Hochstift Lübeck
LASH Abt. 260 Nr. 2164: Regierung Eutin: Vicaria 17 in Summo
LASA, U 5, XVI Nr. 41: (Domkapitel zu Halberstadt)
Grammel, Richard | 1889–1964 | Physiker; Mechaniker; Ingenieur; Krankenpfleger; Hochschullehrer
Schmidt, Paul | 1872–1950 | Arzt; Bakteriologe; Schiffsarzt; Hochschullehrer
LASH Abt. 268 Nr. 25: Anzahl der residierenden Domherren zu Lübeck
Bei der Filmaufnahme von ca. 1946/47 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung der Geschichte der Heinzelmännchen, die durch die drei Töchter dargestellt werden. Sie entlasten die Mutter durch Haus- und Küchenarbeit. Dabei werden die Innenräume und die Einrichtung des Hauses im Ackerweg in der Gartenstadt Halle (Saale) gezeigt. Die etwa zweijährige Tochter macht eine Vorwärtsrolle. Es handelt sich um einen Schwarzweiß-Film ohne Ton. Der Film besitzt eine Länge von 5:09 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Kleinknecht, Hermann | 1907–1960 | Klassischer Philologe; Hochschullehrer
Klein, Ernst Ferdinand | 1743–1810 | Jurist; Freimaurer
Noack, Kurt | 1888–1963 | Biologe; Botaniker; Biochemiker; Bakteriologe; Direktor; Hochschullehrer
Keller, Ott-Heinrich | 1906–1990 | Mathematiker
Steinbrück, Karl | 1869–1932 | Agrarwissenschaftler; Politiker; Hochschullehrer
LASA, A 14, Nr. 130: Nachjahrsrevenuen der Präbendaten
Orth, Albert | 1835–1915 | Agrarwissenschaftler
Gärtner, Robert | 1894–1951 | Agrarwissenschaftler; Tierzüchter
Karsten, George | 1863–1937 | Botaniker; Hochschullehrer
Medicus, Fritz | 1876–1956 | Philosoph; Pädagoge
LASH Abt. 268 Nr. 435: Protokollum rev. capituli Lubicensis: Band 32
LASH Abt. 268 Nr. 450: Protokollum rev. capituli Lubicensis: Band 47
Bei der Filmaufnahme von ca. 1942 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt den Urlaub der Familie in den Alpen mit verschiedenen Szenen des Wanderns und des Ausflugs auf einem See. Spätere Natur- und Gipfelaufnahmen sind offenbar aus dem Flugzeug heraus entstanden. Der Schwarzweiß-Stummfilm hat eine Länge von 9:27 Minuten.
Kneise, Otto | 1875–1953 | Urologe; Gynäkologe; Militärarzt; Hochschullehrer
Columbus, Arno | 1907–1960 | Agrarwissenschaftler; Diplomlandwirt
Harms, Helmut | 1912–2011 | Naturwissenschaftler
Böhmer, Justus Henning | 1674–1749 | Jurist; Hochschullehrer; Kanzler; Kirchenlieddichter
Giese, Wilhelm | 1895–1990 | Philologe; Romanist; Hispanist; Kriegsteilnehmer; Kriegsgefangener
Haupt, Erich | 1841–1910 | Theologe; Lehrer; Gymnasiallehrer
Noack, Ulrich | 1899–1974 | Historiker; Hochschullehrer; Historiker
Bei der Filmaufnahme von ca. 1949 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Märchens „Hänsel und Gretel“, das im Garten des Ackerwegs in der Gartenstadt Halle (Saale) aufgenommen wurde. Die Töchter sowie ein Junge spielen das Märchen verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik. Es handelt sich um einen Farbfilm ohne Ton. Der Film besitzt eine Länge von 2:48 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Matzen, Peter Friedrich | 1909–1986 | Arzt; Orthopäde; Chirurg
Crüger, Hans | 1859–1927 | Jurist; Politiker
Hoffmann, Walter | 1891–1972 | Wirtschaftswissenschaftler
Heuckenkamp, Ferdinand | 1862–1938 | Romanist; Philologe
Brauns, David | 1827–1893 | Geologe; Arzt; Schriftsteller; Forschungsreisender
LASA, A 14, Nr. 279: Legitimation des Grafen von Wartenberg und Aszension des Herrn von Wylich
Güte, Heinrich Ernst | 1754–1805 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Lehrer
Bertram, Philipp Ernst | 1726–1777 | Jurist; Historiker
Stauffer, Ethelbert | 1902–1979 | Neutestamentler; Theologe; Numismatiker; Vikar; Hochschullehrer
LASH Abt. 268, Nr. 429: Protokollum rev. capituli Lubicensis: Band 26
LASA, A 14, Nr. 290: Elektenpräbende des Herrn von Kleist und dessen Aszension inter minores vor den Grafen von Wartenberg
Franke, Walther | 1834–1903 | Arzt; Freimaurer
Siemens, Wilhelm | 1897–1959 | Arzt; Chirurg
Bessel-Hagen, Erich | 1898–1946 | Mathematiker
LASH Abt. 268 Nr. 471: Manual-Protokolle
Liepe, Wolfgang | 1888–1962 | Theaterwissenschaftler; Germanist; Dramaturg; Hochschullehrer
Eiselen, Johann Friedrich Gottfried | 1785–1865 | Volkswirt; Hochschullehrer
Hitzig, Eduard | 1838–1907 | Arzt; Psychiater
Schlüter, Otto | 1872–1959 | Geograf; Hochschullehrer
LASH Abt. 268 Nr. 28: Absenz der Domherren zu Lübeck
LASA, A 14, Nr. 257: Vom König konferierte Präbenden und Kollationspatente
Haase, Ernst | 1871–1959 | Pädagoge; Mineraloge; Lehrer; Mathematiklehrer
Müldener, Johann Christian | –1710 | Jurist; Hochschullehrer; Hofrat
Krueger, Felix | 1874–1948 | Psychologe; Philosoph
Siebeck, Hermann | 1842–1920 | Philosoph; Hochschullehrer
Schollmeyer, Friedrich | 1848–1914 | Jurist
LASH Abt. 260 Nr. 47: Verhandlungen wegen der beabsichtigten Besitznehmung des Bistums Lübeck durch den Prinzen Carl von Dänemark nach dem Tode des Bischofs Christian August
Philippson, Alfred | 1864–1953 | Geograf; Hochschullehrer
Römer, Paul H. | 1876–1916 | Bakteriologe; Arzt; Hochschullehrer
Schürer, Oskar | 1892–1949 | Kunsthistoriker; Schriftsteller; Lyriker; Hochschullehrer
LASA, A 14, Nr. 110: Alter der Herren Präbendaten, deren Qualifikation, und ob sie wider ihren Willen angehalten werden können, possesionem fructi feram anzutreten
Grouven, Karl | 1872–1936 | Arzt; Hautarzt; Militärarzt; Hochschullehrer
Jantzen, Hans | 1881–1967 | Kunsthistoriker; Hochschullehrer
Behring, Emil von | 1854–1917 | Arzt; Wissenschaftler
Liefmann, Harry | 1877–1915 | Bakteriologe; Arzt
Schmelzeisen, Gustaf Klemens | 1900–1982 | Jurist; Hochschullehrer
Herrnschmidt, Johann Daniel | 1675–1723 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Superintendent; Hofprediger; Kirchenlieddichter; Schulleiter
Drigalski, Wilhelm von | 1871–1950 | Arzt; Militärarzt; Schiffsarzt; Amtsarzt; Bakteriologe
Sievers, Eduard | 1850–1932 | Germanist; Linguist; Mediävist; Hochschullehrer; Germanist
Scupin, Hans | 1869–1937 | Geologe; Mineraloge; Hochschullehrer
Brünneck, Wilhelm von | 1839–1917 | Jurist; Hochschullehrer
Prange, Christian Friedrich | 1756–1836 | Kunsterzieher; Philosoph; Jurist; Hochschullehrer
LASH Abt. 268 Nr. 17: Besetzung in päpstlichen Monaten vakant werdender Präbenden (Menses papales)
Stange, Carl | 1870–1959 | Lutherischer Theologe
LASA, A 14, Nr. 281: Resignation des Herrn von Voss auf Ernst Ludwig Christoph Spiegel zum Diesenberg
Heinroth, Hans | 1895–1983 | Zahnarzt; Arzt; Hochschullehrer
Eisenhart, Hugo | 1811–1893 | Wirtschaftswissenschaftler; Staatswissenschaftler
LASH Abt. 268 Nr. 421: Protokollum rev. capituli Lubicensis
Burmeister, Hermann | 1807–1892 | Forschungsreisender; Entomologe; Naturwissenschaftler; Zoologe; Arzt; Lehrer
Heimann, Betty | 1888–1961 | Indologin; Hochschullehrerin
Frech, Fritz | 1861–1917 | Geologe; Paläontologe
LASA, U 5, XVI Nr. 45: (Erzbischof Anselm Casimir von Mainz)
LASA, A 14, Nr. 126: Die dem König dem [so!] Westphalen wegen der von Preußen zugesicherten Fortdauer des Domkapitels gemachte Vorstellung
Cassebohm, Johann Friedrich | 1700–1743 | Arzt
Hoffmann-Kutschke, Artur | 1882– | Schriftsteller
Mertner, Edgar | 1907–1999 | Literaturwissenschaftler
Schmeizel, Martin | 1679–1747 | Jurist; Historiker; Selbstverleger; Heraldiker
Ebschbach, Horst | 1924–1977 | Hochschullehrer; Dreher
Böhmer, Philipp Adolph | 1711–1789 | Arzt; Hochschullehrer; Leibarzt
Bode, Heinrich von | 1652–1720 | Jurist; Hochschullehrer; Konsistorialrat
Krause, Johann Christoph | 1749–1799 | Philosoph; Historiker
Hartwich, Adolf | 1889– | Internist; Arzt; Militärarzt; Dozent
Geßner, Otto | 1895–1968 | Arzt; Pharmakologe
Pfeifer, Berthold | 1871–1942 | Psychiater; Arzt; Schiffsarzt; Militärarzt; Hochschullehrer
LASA, A 14, Nr. 127: Nachweisung vom Personalzustand des Domkapitels
Dabelow, Christoph Christian von | 1768–1830 | Jurist; Hochschullehrer
Gutzmer, August | 1860–1924 | Mathematiker; Hochschullehrer; Rektor
LASA, A 14, Nr. 252: Die evangelischen Domherrn, desgleichen Advocatus Fisci als Intervenienten contra die katholischen Domherrn, in specie Herrn von Westerholt; in puncto einer von demselben per resignationem des von Schachten erhaltenen Präbende
Moldenhauer, Gerhard | 1900–1980 | Romanist; Historiker; Philologe; Mediävist; Hochschullehrer
Reil, Johann Christian | 1759–1813 | Arzt; Internist; Anatom; Autor; Arzt
Callenberg, Johann Heinrich | 1694–1760 | Orientalist; Theologe; Evangelischer Theologe; Hochschullehrer; Bibliothekar; Missionar
Freisleben, Rudolf | 1906–1943 | Biologe; Genetiker; Pflanzenzüchter
Kisch, Guido | 1889–1985 | Jurist; Hochschullehrer
Runge, Franz | 1893–1973 | Chemiker; Hochschullehrer
Baesecke, Georg | 1876–1951 | Mediävist; Germanist; Hochschullehrer; Philologe; Schriftsteller; Hochschullehrer
Hempel, Johannes | 1891–1964 | Evangelischer Theologe; Alttestamentler; Religionswissenschaftler; Militärgeistlicher; Hochschullehrer; Pfarrer
Juncker, Johann Christian Wilhelm | 1761–1800 | Arzt
Erdmann, Benno | 1851–1921 | Philosoph; Psychologe
Kürten, Heinz | 1891–1966 | Arzt; Internist; Hochschullehrer
Eberhard, Victor | 1861–1927 | Mathematiker; Hochschullehrer
Heldmann, Karl | 1869–1943 | Historiker; Hochschullehrer
Bremer, Otto | 1862–1936 | Germanist; Dialektologe; Hochschullehrer; Philologe; Germanist; Literaturwissenschaftler
Loder, Justus Christian von | 1753–1832 | Arzt
Loening, Edgar | 1843–1919 | Jurist; Rektor; Hochschullehrer; Hochschullehrer
Martiny, Benno | 1871–1953 | Maschinenbauingenieur; Hochschullehrer
Ellenberger, Friedrich Wilhelm | 1729–1768 | Philosoph
Meier, Georg Friedrich | 1718–1777 | Philosoph; Mathematiker
Leo, Heinrich | 1799–1878 | Historiker; Politiker; Publizist; Germanist; Hochschullehrer
Kirchner, Wilhelm | 1848–1921 | Agrarwissenschaftler; Hochschullehrer
Cluß, Adolf | 1862–1930 | Chemiker; Agrikulturchemiker; Hochschullehrer
LASA, A 14, Nr. 283: Zwischen dem Domdechanten von Busch und Senior von Leerodt entstandene Streitigkeit wegen der Senioratrevenuen
LASH Abt. 260 Nr. 30: Gutachten des Justizrates Eschen über die Notwendigkeit einer kaiserlichen Konfirmation bei Bischofs- und Koadjutorwahlen im Hochstift Lübeck
LASH Abt. 268 Nr. 15: Distinktpräbende des Gesandten in Regensburg, Konferenzrat von Koch
Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 7: Das Domkapitel zu Lübeck, insbesondere Nachrichten über die Bischofswahl, die Prälatur der Herzöge zu Holstein und die Dekanatskapitulation
LASH Abt. 260 Nr. 2120: Regierung Eutin: Lübsche Dompropsten
Kähler, Wilhelm | 1871–1934 | Volkswirt; Jurist; Hochschullehrer; Politiker
Hiller, Eduard | 1844–1891 | Klassischer Philologe
Schaedel, Bernhard | 1878–1926 | Philologe; Romanist
Schwarz, Emil | 1852– | Arzt; Gynäkologe
Freyberg, Bruno von | 1894–1981 | Geologe; Paläontologe; Wissenschaftshistoriker; Hochschullehrer
Ewerbeck, Christian Gottfried | 1761–1837
Aner, Karl | 1879–1933 | Theologe; Hochschullehrer; Pfarrer
Grenacher, Hermann | 1843–1923 | Zoologe
Schwartz, Johann Christoph | 1846–1915 | Jurist
Aichel, Otto | 1871–1935 | Arzt; Philosoph; Anthropologe
Grasshoff, Kurt | 1911– | Lehrbeauftragter
Hauptmann, Alfred | 1881–1948 | Arzt; Psychiater; Militärarzt; Hochschullehrer
Holdefleiß, Paul | 1865–1940 | Agrarwissenschaftler; Hochschullehrer
Igersheimer, Josef | 1879–1965 | Augenarzt
Lesser, Ernst | 1879–1928 | Physiologe; Internist; Biochemiker
Beyer, Albert Kurt | 1907–1956 | Geologe
Maurenbrecher, Bertold | 1868–1943 | Philologe; Klassischer Philologe
Bunge, Paul | 1853–1926 | Arzt; Augenarzt; Militärarzt; Hochschullehrer
LASH Abt. 268 Nr. 410: Protocollum causarum capitularium ecclesie Lubicensis
Brunnenmeister, Emil | 1854–1896 | Jurist
Bernstein, Felix | 1878–1956 | Mathematiker; Statistiker
Hett, Johannes | 1894–1986 | Arzt; Histologe; Hochschullehrer
Schneider, Johann Friedemann | 1669–1733 | Jurist; Philosoph; Hochschullehrer
LASH Abt. 268 Nr. 31: Abwesenheits-Anzeigen von Domherren zu Lübeck
Beer, Georg | 1865–1946 | Evangelischer Theologe; Orientalist; Hochschullehrer
Hoffmann, Reinhold | 1885– | Agrarwissenschaftler
Segner, Johann Andreas von | 1704–1777 | Naturwissenschaftler; Mathematiker; Physiker; Astronom; Erfinder; Geheimer Rat; Arzt
Schwarz, Georg | 1896–1979 | Agrarwissenschaftler; Hochschullehrer
Steinhart, Karl Heinrich August | 1801–1872 | Philologe; Philosoph; Pädagoge; Politiker
Michel, Otto | 1903–1993 | Judaist; Neutestamentler; Hochschullehrer; Evangelischer Theologe; Pfarrer
Bei der Filmaufnahme von ca. 1947 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Familie mit ihren Kindern sowie anderen Personen im Garten in der Gartenstadt Halle (Saale). Das Spiel der Kinder, das gemeinsame Essen und die Freizeitgestaltung stehen im Mittelpunkt der Aufnahme. Der Film besitzt eine Länge von 10:32 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Endemann, Friedrich | 1857–1936 | Jurist
Siegert, Ferdinand | 1865–1946 | Arzt; Kinderarzt
Oberst, Maximilian | 1849–1925 | Arzt; Chirurg; Hochschullehrer
Ludwig, Wilhelm | 1901–1959 | Biologe; Zoologe; Genetiker; Hochschullehrer
Joerges, Rudolf | 1868–1957 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 540: Chronologischer Index zu den Bänden 12-21 des Kapitels-Protokolle (Nr. 415-424)
LASH Abt. 260 Nr. 46: Possession und Huldigung des Bischofs Christian August im Bistum Lübeck
LASH, Abt. 260, Nr. 19: Koadjutoriesachen im Hochstift Lübeck
LASH Abt. 268 Nr. 448: Protokollum rev. capituli Lubicensis: Band 45
Kattenbusch, Ferdinand | 1851–1935 | Evangelischer Theologe; Hochschullehrer
Ficker, Gerhard | 1865–1934 | Evangelischer Theologe; Kirchenhistoriker
Schlottmann, Constantin | 1819–1887 | Evangelischer Theologe; Orientalist; Hochschullehrer
Sprengel, Kurt | 1766–1833 | Arzt; Botaniker; Hochschullehrer; Übersetzer
Goebel, Fritz | 1888–1950 | Kinderarzt; Arzt; Hochschullehrer; Militärarzt
Falke, Friedrich | 1871–1948 | Agrarwissenschaftler; Hochschullehrer
Koch, Waldemar | 1880–1963 | Politiker; Betriebswirt; Hochschullehrer
Erdmann, Ernst | 1857–1925 | Chemiker; Hochschullehrer
Müller, Julius | 1801–1878 | Evangelischer Theologe; Prediger; Theologe
Schmidt-Rimpler, Hermann | 1838–1915 | Augenarzt
LASH Abt. 268 Nr. 472: Manual-Protokolle
Brückner, Eduard | 1862–1927 | Geograf; Klimatologe; Hochschullehrer; Geologe; Mineraloge
Grüneberg, Theodor | 1901–1979 | Arzt; Hautarzt; Hochschullehrer; Direktor
Arnim, Hans von | 1859–1931 | Philologe; Klassischer Philologe
Droysen, Gustav | 1838–1908 | Historiker; Hochschullehrer
LASA, A 13, Nr. 1116: Verurteilung des Domherrn von Bartensleben in 4 000 Reichstaler Strafe, weil er den Regierungspräsidenten von Canstein zum Zweikampf gefordert habe
Mie, Gustav | 1868–1957 | Physiker; Dozent; Hochschullehrer
Lehmann, Emil | 1881–1981 | Geologe; Mineraloge; Vulkanologe; Hochschullehrer
Jolly, Philipp | 1860–1932 | Arzt; Neurologe; Schiffsarzt; Militärarzt
Schmidt, Hans | 1877–1953 | Alttestamentler; Pfarrer; Hochschullehrer; Evangelischer Theologe; Offizier; Kriegsteilnehmer; Kriegsgefangener
Schering, Arnold | 1877–1941 | Musikwissenschaftler; Hochschullehrer; Musikkritiker; Herausgeber; Komponist
König, Heinrich Johann Otto | 1748–1820 | Jurist
Liszt, Franz von | 1851–1919 | Jurist; Hochschullehrer; Politiker; Ritter
Haloun, Gustav | 1898–1951 | Sinologe; Hochschullehrer
Schmoller, Gustav von | 1838–1917 | Wirtschaftswissenschaftler; Sozialwissenschaftler; Hochschullehrer; Volkswirt
Praechter, Karl | 1858–1933 | Klassischer Philologe; Gymnasiallehrer; Hochschullehrer
Michaelis, Christian Benedict | 1680–1764 | Orientalist; Evangelischer Theologe; Hochschullehrer; Bibliothekar
Forster, Johann Reinhold | 1729–1798 | Naturwissenschaftler; Forschungsreisender; Theologe; Pfarrer; Hochschullehrer
LASA, A 14, Nr. 296: Dem Herrn von Spiegel zu Pickelsheim vom König erteiltes Benificium a latere
Kok, Friedrich | 1890–1952 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
LASH Abt. 268 Nr. 451: Protokollum rev. capituli Lubicensis: Band 48
Herweg, Julius | 1879–1936 | Physiker; Hochschullehrer; Adjutant
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die mittleren Jahre davon
LASA, A 14, Nr. 263, Bd. II: Vom König erteilte Expektanzen und Kollationspatente
LASA, A 14, Nr. 247: Emanzipations- und Possessionsscheine
Baumgarten, Siegmund Jakob | 1706–1757 | Evangelischer Theologe; Historiker; Hochschullehrer
Gloege, Gerhard | 1901–1970 | Theologe; Priester
Gemmingen, Hans Dieter von | 1902–1944-12 | Jurist
Bary, Anton de | 1831–1888 | Botaniker; Botaniker
Eberhard, Johann August | 1738–1809 | Philosoph; Schriftsteller; Theologe; Lehrer; Pfarrer
Hehlmann, Wilhelm | 1901–1997 | Pädagoge; Psychologe; Lehrer; Regierungsrat; Hochschullehrer
Flügel, Fritz Eugen | 1897–1973 | Arzt; Neurologe; Psychiater; Hochschullehrer
Krüger, Johann Gottlob | 1715–1759 | Arzt
Huber, Eugen | 1849–1923 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 412: Protocollum causarum capitularium ecclesie Lubicensis
Heinemann, Lothar von | 1859–1901 | Historiker; Hochschullehrer
Roth, Heinrich Albert | 1900–1973 | Agrarwissenschaftler
Dzondi, Karl Heinrich | 1770–1835 | Arzt; Chirurg; Philosoph; Bibliothekar
Herff, Otto von | 1856–1916 | Arzt; Hochschullehrer; Gynäkologe; Arzt
Drews, Paul | 1858–1912 | Evangelischer Theologe; Diakon
Marschall von Bieberstein, Fritz | 1883–1939 | Jurist
Fries, Wilhelm | 1845–1928 | Pädagoge; Latinist; Hochschullehrer; Schulleiter; Gymnasiallehrer
Behrend, Paul Gerhard | 1853–1905 | Agrikulturchemiker
Gebhardt, Walter | 1870–1918 | Arzt; Anatom
Blass, Friedrich | 1843–1907 | Klassischer Philologe; Pädagoge; Lehrer; Oberlehrer
Kähler, Martin | 1835–1912 | Evangelischer Theologe; Hochschullehrer; Diakon
Simon, Johann Georg | 1636–1696 | Jurist
LASH Abt. 268 Nr. 24: Residenzjahre der Domherren zu Lübeck
Ruttenbeck, Walter | 1890–1964 | Theologe; Pfarrer; Sanitäter; Krankenhausseelsorger; Hochschullehrer
Langheineken, Paul | 1865–1930 | Jurist; Hochschullehrer
Knorre, Ernst Friedrich | 1728–1771 | Jurist
Fleischer, Johann Lorenz | 1691–1749 | Jurist
Heinroth, Otto | 1892–1961 | Arzt; Zahnarzt; Autor; Hochschullehrer
Loeffler, Friedrich | 1885–1967 | Arzt; Orthopäde; Chirurg; Militärarzt; Schiffsarzt; Hochschullehrer
Fischer-Lamberg, Otto | 1886–1963 | Künstler; Kunsterzieher; Maler; Zeichner; Grafiker
Schlitte, Johann Gerhard | 1683–1748 | Jurist; Hofrat
Karo, Georg | 1872–1963 | Archäologe; Denkmalpfleger; Hochschullehrer
Rauterberg, Eduard | 1898–1977 | Agrikulturchemiker
Böhmer, Johann Samuel Friedrich von | 1704–1772 | Jurist; Hochschullehrer
Giese, Fritz | 1890–1935 | Psychologe; Tiefenpsychologe; Arbeitswissenschaftler; Hochschullehrer; Schriftsteller
LASH Abt. 268 Nr. 444: Protokollum rev. capituli Lubicensis: Band 41
LASH Abt. 268 Nr. 437: Protokollum rev. capituli Lubicensis: Band 34
Freylinghausen, Gottlieb Anastasius | 1719–1785 | Evangelischer Theologe; Hochschullehrer; Direktor
Dörffel, Julius | 1900–1953 | Hautarzt; Arzt
Peyer, Willy | 1882–1948 | Apotheker; Chemiker; Pharmazeut; Dozent
Oberbeck, Anton | 1846–1900 | Physiker; Hochschullehrer
Sobernheim, Georg | 1865–1963 | Bakteriologe
Hippel, Arthur von | 1841–1916 | Arzt; Augenarzt
Ficker, Johannes | 1861–1944 | Evangelischer Theologe; Kirchenhistoriker; Archäologe; Prediger; Hochschullehrer
Brachmann, Wilhelm | 1900–1989 | Evangelischer Theologe; Religionswissenschaftler; Pfarrer; Nationalsozialist
Carrach, Johann Tobias | 1702–1775 | Jurist
Holtzmann, Robert | 1873–1946 | Historiker; Hochschullehrer
Grabein, Max | 1872–1920 | Volkswirt; Direktor
Fischer, Friedrich Christoph Jonathan | 1750–1797 | Staatsrechtslehrer; Jurist; Publizist; Historiker
Lindemann, Walter | 1886–1940 | Arzt; Gynäkologe; Militärarzt; Hochschullehrer
Meier, Ernst von | 1832–1911 | Jurist; Kurator <Hochschule>
Kranz, Walther | 1884–1960 | Klassischer Philologe; Philosoph; Lehrer
Kunitz, Wilhelm | 1894–1983 | Mineraloge; Chemiker; Dozent
LASH Abt. 268, Nr. 427: Protokollum rev. capituli Lubicensis: Band 24
Hartung, Fritz | 1883–1967 | Historiker; Jurist; Ministerialrat; Hochschullehrer
Loening, Karl | 1877–1926 | Arzt; Militärarzt
Meyer, Eduard | 1855–1930 | Althistoriker; Kirchenhistoriker; Klassischer Philologe; Bibliothekar; Ägyptologe; Altorientalist; Hochschullehrer
Kraske, Paul | 1851–1930 | Arzt; Chirurg; Hochschullehrer
Neiss, Fritz | 1883–1952 | Mathematiker; Lehrer; Oberstudienrat; Hochschullehrer
Achelis, Hans | 1865–1937 | Kirchenhistoriker; Archäologe; Theologe
Allesch, Gustav Johannes von | 1882–1967 | Psychologe; Philosoph; Hochschullehrer
Arndt, Adolf | 1849–1926 | Jurist; Hochschullehrer
Schmidt, Richard | 1866–1939 | Übersetzer; Indologe
LASH Abt. 268 Nr. 418: Protokollum rev. capituli Lubicensis
Brugsch, Theodor | 1878–1963 | Arzt; Internist; Politiker; Militärarzt; Hochschullehrer
Schmidt-Rimpler, Walter | 1885–1975 | Jurist; Hochschullehrer
Haring, Wilhelm | 1900–1975 | Arzt; Internist; Hochschullehrer
Boehmer, Gustav | 1881–1969 | Jurist; Hochschullehrer
Nettelbladt, Daniel | 1719–1791 | Jurist; Hochschullehrer
LASH Abt. 268 Nr. 541: Chronologischer Index zu den Bänden 22-34 des Kapitels-Protokolle (Nr. 425-437)
Abert, Hermann | 1871–1927 | Musikwissenschaftler; Historiker; Klassischer Philologe; Komponist; Arrangeur; Hochschullehrer; Herausgeber
Dehn, Günther | 1882–1970 | Evangelischer Theologe; Exeget; Hochschullehrer
LASA, A 14, Nr. 260: Aszension des Herrn von Buchholz und was ratione saltus nach dem Vergleich von 1662 und 1675 dabei vorgekommen
Eger, Karl | 1864–1945 | Evangelischer Theologe; Pfarrer; Kirchenrat; Hochschullehrer
Gloel, Johannes | 1857–1891 | Evangelischer Theologe; Neutestamentler
LASH Abt. 268 Nr. 413: Protocollum causarum capitularium ecclesie Lubicensis
LASH Abt. 268 Nr. 419: Protokollum rev. capituli Lubicensis
LASA, A 14, Nr. 262: Die von dem von Haren auf Johann Friedrich von Münchhausen resignierte Minorpräbende
Gilbert, Ludwig Wilhelm | 1769–1824 | Physiker; Hochschullehrer; Chemiker; Mathematiker; Geograf; Astronom
Cornelius, Carl Sebastian | 1819–1896 | Physiker; Philosoph
Lehmann, Richard | 1845–1942 | Geograf; Oberlehrer; Rektor
Pringsheim, Ernst G. | 1881–1970 | Mikrobiologe; Botaniker; Übersetzer; Direktor; Hochschullehrer
LASH Abt. 268 Nr. 415: Protokollum rev. capituli Lubicensis
Zeitraum: Gesamtlaufzeit 1713 - 1756, vermutlich die späteren Jahre davon
LASA, A 14, Nr. 263, Bd. III: Vom König erteilte Expektanzen und Kollationspatente
Becher, Erwin | 1890–1944 | Arzt; Internist; Hochschullehrer
LASH Abt. 268 Nr. 21: Alphabetische Studienbescheinigungen für Domherren zu Lübeck (Documenta studii biennalis)
Ranke, Hans Rudolf | 1849–1887 | Chirurg; Hochschullehrer; Arzt
Burdach, Konrad | 1859–1936 | Musikwissenschaftler; Germanist; Literaturwissenschaftler; Kunsthistoriker; Literarhistoriker; Schriftsteller
Goldhagen, Johann Friedrich Gottlieb | 1742–1788 | Arzt; Freimaurer
Gasser, Simon Peter | 1676–1745 | Jurist; Hochschullehrer; Geheimer Rat
Bei der Filmaufnahme von ca. 1946/47 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt eine Inszenierung des Gedichts „Vom Riesen Timpetu“ des Autors Alwin Freudenberg (1873-1930) von 1910. Die drei Töchter spielen das Scherzgedicht verkleidet in verschiedenen Szenen und unter Einsatz von filmischer Tricktechnik nach. Der Film besitzt eine Länge von 6:05 Minuten. Das Entstehungsjahr wurde nach dem Alter der Kinder geschätzt.
Freudenberg, Alwin | 1873–1930 | Jugendbuchautor; Kinderbuchautor; Schriftsteller; Pädagoge; Autor; Librettist
Coschwitz, Georg Daniel | 1679–1729 | Arzt; Hochschullehrer; Botaniker; Apotheker
Gierke, Julius Karl Otto von | 1875–1960 | Jurist; Hochschullehrer
Asinger, Friedrich | 1907–1999 | Chemiker; Hochschullehrer
Krefft, Siegfried | 1916–1981 | Rechtsmediziner; Hochschullehrer; Arzt
Bassarak, Gerhard | 1918–2008 | Theologe
Ruth, Rudolf | 1888–1942 | Jurist; Gerichtsassessor; Hochschullehrer
Richter, Friedrich Adolph | 1748–1797 | Arzt
Lieser, Theodor | 1900–1973 | Hochschullehrer
Kruse, Friedrich | 1790–1866 | Historiker; Geograf; Lehrer
Mitteis, Heinrich | 1889–1952 | Jurist; Historiker; Hochschullehrer
Berger, Arnold Erich | 1862–1948 | Philologe; Germanist
Hesse, Albert | 1876–1965 | Jurist; Volkswirt
Hermberg, Paul | 1888–1969 | Soziologe; Hochschullehrer; Statistiker; Volkswirt
LASA, A 14, Nr. 301: Resignation der Minorpräbende des Herrn August Friedrich von der Asseburg
Lengerken, Hanns von | 1889–1966 | Biologe; Zoologe
Reichenbach, Erwin | 1897–1973 | Zahnarzt
Bei der Filmaufnahme um das Jahr 1941/42 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Aschenbrödel“. Er spielt in großen Teilen in der Moritzburg Halle (Saale) und zeigt wichtige Szenen des bekannten Märchens. Dabei handelt es sich um einen der wenigen Farbfilme. Leider bleibt die Qualität des Films mit einer Länge von 3:10 Minuten aber minderwertig.
Keil, Heinrich | 1822–1894 | Philologe; Klassischer Philologe
Ahrens, Walther | 1910–1981 | Mikrobiologe; Arzt
Förster, Theodor | 1839–1898 | Pfarrer; Superintendent; Evangelischer Theologe
Burgeff, Hans | 1883–1976 | Botaniker; Hochschullehrer
Fehling, Hermann | 1847–1925 | Gynäkologe
Schenck, Adolf | 1857–1936 | Geograf; Mineraloge; Botaniker; Forschungsreisender; Hochschullehrer
Kuckuck, Hermann | 1903–1992 | Pflanzenzüchter; Agrarwissenschaftler
Hoffmann, Erich | 1868–1959 | Arzt; Hautarzt
Harnack, Erich | 1852–1915 | Arzt; Pharmakologe; Chemiker
Küstner, Heinz | 1897–1963 | Arzt; Gynäkologe; Hochschullehrer; Militärarzt
Hein, Wolfgang | 1883–1976 | Jurist; Beisitzer; Hochschullehrer
Disse, Joseph | 1852–1912 | Arzt; Anatom
Schmieden, Victor | 1874–1945 | Arzt; Chirurg; Hochschullehrer
Bei der Filmaufnahme mit Schwerpunkt des Septembers 1941 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film zeigt die Vorbereitung, Einschulung und in wenigen Szenen die Schulbeendigung der ältesten Tochter. Sie besuchte die Diesterwegschule für Mädchen in Halle (Saale). Der Film zeigt sowohl die private Feier zur Einschulung (Übergabe von Ranzen und Schultüte) wie auch die offiziellen Feierlichkeiten in der Schule. Die Qualität ist durch die doppelte Belichtung leider nicht optimal. Angehängt findet sich ein farbiger Filmzusatz, der die Mädchen der Schulklasse bei der Beendigung der Schulzeit abbildet. Der Film hat eine Länge von 9:34 Minuten.
Moser, Hans Joachim | 1889–1967 | Musiker; Sänger; Bariton <Sänger>; Schriftsteller; Gesangslehrer; Musikwissenschaftler
LASH Abt. 268 Nr. 438: Protokollum rev. capituli Lubicensis: Band 35
Kettler, Louis-Heinz | 1910–1976 | Pathologe; Arzt; Hochschullehrer
Hanle, Wilhelm | 1901–1993 | Physiker; Hochschullehrer
Schomerus, Hilko Wiardo | 1879–1945 | Evangelischer Theologe; Pfarrer; Missionar; Hochschullehrer
Förster, Max | 1869–1954 | Philologe; Anglist
Schulz, Arthur | 1867– | Rechtsmediziner; Arzt; Hochschullehrer
LASH, Abt. 268, Nr. 426: Protokollum rev. capituli Lubicensis: Band 23
LASA, A 14, Nr. 300: Resignation der Minorpräbende des Herrn von Fürstenberg, ingleichen das Verbot der Resignationen
Fingerling, Gustav | 1867–1944 | Agrarwissenschaftler; Chemiker; Hochschullehrer
Hoffbauer, Johann Christoph | 1766–1827 | Philosoph; Jurist
Ontology of historical German-language official and occupational titles
OhdAB is a classification system for activities and requirement levels in professional situations, developed on the basis of historical occupational titles. The system comprises a five-level hierarchical classification model, ranging from a broad summary of ten occupational areas to a very fine-grained distinction between approximately 1,900 occupational categories. At the same time, approximately 46,000 occupational names are standardised, with each name given in a gender-neutral, female and male spelling. The taxonomy is available in both German and English, with the historical occupational titles translated using Deepl and only partially adapted. FactGrid also offers other languages, which were also generated using AI technologies. The OhdAB system is fundamentally based on the 2010/20 classification of occupations by the Federal Employment Agency [KldB 2010 – Statistics of the Federal Employment Agency (Federal Employment Agency 2021)]. OhdAB has based its methodology on the KldB for recording and measuring similarities between occupational activities on the basis of skills and professional expertise on the one hand and requirement levels on the other. This enables a comparison between historical and modern occupational worlds and the linking of modern national and international standards. At the same time, KldB 2010 establishes concordance with the international standard ISCO-08 ([https://ilostat.ilo.org/methods/concepts-and-definitions/classification-occupation/ ISCO]), older versions of KldB and other relevant vocabularies and analysis tools. It also provides a translation of modern occupational standard designations into English.
OhdAB ist ein Klassifikationssystem von Tätigkeit und Anforderungsniveaus in beruflichen Situationen, das auf quellenbasierter Grundlage historischer Ständebezeichnungen entwickelt wurde. Das Angebot umfasst ein fünfstufiges hierarchisches Klassifikationmodell von einer starken Zusammenfassung in zehn Berufsbereichen bis zu einer sehr feingranularen Unterscheidung in ca. 1.900 Berufsgattungen. Gleichzeitig erfolgt eine Normierung von ca. 46.000 Berufsnamen, deren Schreibung jeweils in einer geschlechtsübergreifenden, einer weiblichen und einer männlichen Schreibweise wiedergegeben werden. Die Taxonomie liegt komplett in deutscher und englischer Sprache vor, wobei die historischen Berufsbezeichnungen mit Deepl übersetzt und nur zum Teil angepasst wurden. In FactGrid liegen noch weitere Sprachen vor, die ebenfalls mit KI-Technologien erzeugt wurden. Grundlegend basiert das System der OhdAB auf der Klassifikation der Berufe 2010/20 der Bundesagentur für Arbeit [KldB 2010 - Statistik der Bundesagentur für Arbeit (Bundesagentur für Arbeit 2021)]. Dabei hat sich OhdAB an der Methodik, an der Erfassung und Messung von Ähnlichkeiten beruflicher Tätigkeiten auf der Grundlage von einerseits Kompetenzen und Berufsfachlichkeit sowie andererseits von Anforderungsniveaus an der KldB orientiert. Dies ermöglicht einen Vergleich zwischen historischen und modernen Berufswelten und die Anbindung des modernen nationalen und internationalen Standards. Gleichzeitig stellt die KldB 2010 ihrerseits die Konkordanz zum internationalen Standard ISCO-08 ([https://ilostat.ilo.org/methods/concepts-and-definitions/classification-occupation/ ISCO]), ältere Varianten der KldB sowie weiterer relevanter Vokabulare und Analysewerkzeuge her. Zudem leistet sie eine Übersetzung der modernen Berufsnormbezeichnungen in die englische Sprache.
Historisches Datenzentrum Sachsen-Anhalt | Halle (Saale)
Ontologie der historischen, deutschsprachigen Amts- und Berufsbezeichnungen
Krukenberg, Peter | 1787–1865 | Arzt; Pathologe
Tribbechow, Johannes | 1677–1712 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger; Kirchenlieddichter; Theologe
Tieftrunk, Johann Heinrich | 1759–1837 | Philosoph; Prediger; Hochschullehrer; Gymnasiallehrer; Rektor
Thomasius, Christian | 1655–1728 | Jurist; Philosoph; Hochschullehrer; Schriftsteller; Selbstverleger
Thümmig, Ludwig Philipp | 1697–1728 | Philosoph; Hochschullehrer
Trautmann, Walter | 1906–1983 | Journalist; Diplomkaufmann
Thorbecke, Heinrich | 1837–1890 | Orientalist; Arabist
Berndt, Georg | 1880–1972 | Physiker; Hochschullehrer
Wolff, Christian von | 1679–1754 | Philosoph; Jurist; Mathematiker; Physiker; Theologe; Hochschullehrer; Regierungsrat
Wolzendorff, Kurt | 1882–1921 | Jurist; Hochschullehrer
Woskin, Mojssej | 1884–1944 | Philologe; Hochschullehrer
Willige, Hans | 1877–1963 | Arzt; Psychiater; Hochschullehrer
Weyhe, Hans | 1879–1955 | Anglist; Philologe; Hochschullehrer
Nösselt, Johann August | 1734–1807 | Evangelischer Theologe; Hochschullehrer
Prange, Georg | 1885–1941 | Mathematiker; Hochschullehrer
Finger, August | 1858–1935 | Jurist; Richter; Politiker; Abgeordneter; Hochschullehrer
Bei der Filmaufnahme wohl aus dem Jahr 1950 handelt es sich um einen von mehreren privaten Filmen der Familie Klaetsch, in denen Alltagsszenen und inszenierte Geschichten durch die Familie geplant und aufgenommen wurden. Der Film inszeniert das Märchen „Schneeweißchen und Rosenrot“. Er beginnt an einem Wildgehege im Wald und leitet dann in die eigentliche Darstellung über. Die Frauen sind bei der Handarbeit zu sehen, während der Bär zur Familie kommt und Aufnahme findet. Der Film spielt bei einem Gartenhaus, später im Wald. Der Schwarzweiß-Stummfilm hat eine Länge von 7:30 Minuten.
Pauli, Karl Friedrich | 1723–1778 | Jurist; Historiker; Hochschullehrer
Smekal, Adolf | 1895–1959 | Physiker; Hochschullehrer
Grävinghoff, Walter | 1891–1975 | Kinderarzt
Schmid, Günther | 1888–1949 | Botaniker; Hochschullehrer
Beyschlag, Willibald | 1823–1900 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Hofprediger
Blohm, Georg | 1896–1982 | Agrarwissenschaftler; Hochschullehrer; Bibliotheksassistent
Schöttler, Hans | 1861–1945 | Evangelischer Theologe; Pfarrer; Militärgeistlicher; Generalsuperintendent
LASH Abt. 268 Nr. 423: Protokollum rev. capituli Lubicensis
Hoffmann, Walther | 1910–1974 | Agrarwissenschaftler
LASA, A 14, Nr. 293 Bd. II: Dem Obrist von Löben konferierte Präbende des Domscholasters von Münchhausen, ist an Herrn von Münchhausen resigniert
Bärensprung, Friedrich Wilhelm Felix von | 1822–1864 | Hautarzt; Arzt
Bärensprung, Friedrich Wilhelm Felix von
Bernstein, Rudolf | 1880–1971 | Konstrukteur; Maschinenbaumechaniker; Dozent
Haasler, Fritz | 1863–1948 | Arzt; Chirurg; Hochschullehrer; Militärarzt
Nicolai, Gottlob Samuel | 1725–1765 | Evangelischer Theologe; Hochschullehrer; Pfarrer; Gymnasiallehrer
Pönitz, Karl | 1888–1973 | Neurologe; Psychologe; Hochschullehrer
Seiser, Adolf | 1891–1971 | Bakteriologe; Arzt; Militärarzt; Hochschullehrer; Hygiene
Schranil, Rudolf | 1885–1956 | Jurist; Hochschullehrer
Dreher, Eugen | 1841–1900 | Naturwissenschaftler; Philosoph
Solms-Laubach, Hermann zu | 1842–1915 | Botaniker; Hochschullehrer
Ludovici, Jacob Friedrich | 1671–1723 | Jurist; Hofrat; Geheimer Rat
Mitscherlich, Waldemar | 1877–1961 | Volkswirt; Staatswissenschaftler; Soziologe
Pott, August Friedrich | 1802–1887 | Philologe; Evangelischer Theologe
Wagnitz, Heinrich Balthasar | 1755–1838 | Evangelischer Theologe; Pfarrer; Superintendent; Konsistorialrat
Voss, Christian Daniel | 1761–1821 | Philologe; Historiker; Lehrer; Schriftsteller
Walcher, Kurt | 1891–1973 | Rechtsmediziner; Arzt; Militärarzt; Pathologe; Hochschullehrer
Völker, Walther | 1896–1988 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Wagner, Kurt | 1890–1973 | Germanist; Volkskundler; Hochschullehrer
Wagner, Wilhelm | 1899–1976 | Arzt; Chirurg
Griesbach, Johann Jacob | 1745–1812 | Evangelischer Theologe; Hochschullehrer; Publizist; Abgeordneter; Theologe
Förster, Johann Christian | 1735–1798 | Philosoph; Historiker; Staatswissenschaftler; Autor
Dolch, Moritz | 1885–1931 | Chemiker; Hochschullehrer
Kahle, Paul | 1875–1964 | Evangelischer Theologe; Semitist; Orientalist; Pfarrer
Hense, Otto | 1845–1931 | Klassischer Philologe
Schulze, Heinrich | 1874–1926 | Chemiker; Apotheker; Hochschullehrer
LASH Abt. 268 Nr. 422: Protokollum rev. capituli Lubicensis
Hamann-Mac Lean, Richard | 1908–2000 | Kunsthistoriker; Hochschullehrer; Sachverständiger
Michaelis, Johann Heinrich | 1668–1738 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Bibliothekar
Schnell, Walter | 1891–1960 | Arzt; Militärarzt; Hochschullehrer
Bauke, Hermann | 1886–1928 | Theologe; Pfarrer; Patristiker; Hochschullehrer
Frankl, Paul | 1878–1962 | Kunsthistoriker; Hochschullehrer; Architekt
Breithaupt, Joachim Just | 1658–1732 | Evangelischer Theologe; Pietist; Pfarrer; Hochschullehrer; Kirchenlieddichter; Generalsuperintendent
Krahmer, Friedrich Ludwig | 1810–1893 | Pharmakologe
Heydemann, Heinrich | 1842–1890 | Archäologe
Messerschmidt, Wilhelm | 1906–1975 | Physiker
Der Film spielt zwischen dem 19. Juni und 23. Juni 1948. Er zeigt die Abreise der Familie mit der Straßenbahn in der südlichen Innenstadt Halle (Saale) (Diesterwegstraße) in den Urlaub sowie die Freundin Marianne an verschiedenen Haltestellen (Merseburg-Leuna), da sie gespielt die Abfahrt in die Sächsische Schweiz verpasst. Danach werden Urlaubsszenen der Familie eingefangen. In der Sächsischen Schweiz sieht man die Kinder beim Wandern, Spielen und Erholen. In einer gestellten Szene fällt ein Kind vom Berg und wird vom Vater aufgefangen. Verorten kann man die Stadt Wehlen und den Lichtenhainer Wasserfall. Der Film besitzt eine Länge von 5:41 Minuten.
Begrich, Joachim | 1900–1945 | Evangelischer Theologe; Hochschullehrer
Müller, Ernst Friedrich Karl | 1863–1935 | Evangelischer Theologe; Pfarrer
Grund, Georg | 1878–1944 | Arzt; Internist; Militärarzt; Hochschullehrer
LASA, A 14, Nr. 417: Ableben des Domkapitularen Freiherrn von Fürstenberg
Baethgen, Friedrich | 1849–1905 | Theologe; Alttestamentler
Buchda, Gerhard | 1901–1977 | Jurist; Historiker; Hochschullehrer; Zoologe
Klatt, Berthold | 1885–1958 | Zoologe; Biologe; Hochschullehrer
Olshausen, Robert | 1835–1915 | Arzt; Gynäkologe
Fricke, Johann Heinrich | 1740–1775 | Jurist; Privatdozent
Madihn, Georg Samuel | 1729–1784 | Jurist
Lehmann, Arno | 1901–1984 | Religionswissenschaftler; Missionar; Pfarrer; Hochschullehrer
Meinert, Friedrich | 1757–1828 | Mathematiker; Astronom; Techniker; Philosoph; Schriftsteller; Leutnant; Militärwissenschaftler
Meissner, Bruno | 1868–1947 | Orientalist
LASA, A 14, Nr. 295: Des Herrn von Rochow Dispensation vom Klosterjahr
Delling, Gerhard | 1905–1986 | Theologe; Hochschullehrer
Brauer, Rudolf | 1907–2006 | Zahnarzt; Ingenieur
Goltz, Friedrich | 1834–1902 | Physiologe
Schultze, Friedrich Emil Otto | 1872–1950 | Pädagoge; Psychologe; Philosoph
Beschke, Erich | 1878– | Chemiker; Hochschullehrer
Kast, Wilhelm | 1898–1980 | Physiker; Hochschullehrer
Kampffmeyer, Georg | 1864–1936 | Orientalist; Arabist; Philologe
Sommerlad, Theo | 1869–1940 | Historiker; Wirtschaftswissenschaftler; Hochschullehrer
Gros, Oskar | 1877–1947 | Pharmakologe; Chemiker; Hochschullehrer
Kitzinger, Friedrich | 1872–1943 | Jurist
Rebeur-Paschwitz, Ernst von | 1861–1895 | Geophysiker; Astronom
Aland, Kurt | 1915–1994 | Theologe; Historiker; Kirchenhistoriker; Exeget
Jahn, Georg | 1885–1962 | Wirtschaftswissenschaftler; Philosoph; Soziologe; Redakteur; Publizist; Syndikusanwalt; Hochschullehrer
Denker, Alfred | 1863–1941 | Arzt; Hals-Nasen-Ohren-Arzt; Hochschullehrer
Schulze, Johann Heinrich | 1687–1744 | Arzt; Hochschullehrer; Polyhistor; Historiker; Chemiker; Numismatiker; Philologe
LASA, A 14, Nr. 254: Dokumente, zu der Buschschen Erbpräbende gehörig
Lindrath, Hermann | 1896–1960 | Bundesminister; Politiker; Bankkaufmann; Staatswissenschaftler; Hochschullehrer
LASA, A 14, Nr. 303: Rang des Herrn von Byern vor den Herren von Bucholz und von Rochow
Fehr, Hans | 1874–1961 | Jurist; Historiker; Schriftsteller; Hochschullehrer; Kunsthistoriker
Schwinge, Erich | 1903–1994 | Jurist; Richter; Strafverteidiger; Beisitzer; Schriftsteller; Hochschullehrer
Schachtschabel, Hans | 1914–1993 | Volkswirt; Hochschullehrer
Nicolaisen, Wilhelm | 1901–1973 | Agrarwissenschaftler; Hochschullehrer
LASH Abt. 268 Nr. 445: Protokollum rev. capituli Lubicensis: Band 42
LASH Abt. 268 Nr. 19: Turnus in Kanonikaten
Erdmann, Johann Eduard | 1805–1892 | Philosoph; Pfarrer; Schriftsteller; Psychologe; Hochschullehrer
Balthasar, Karl | 1868–1937 | Pfarrer; Organist; Lehrer
Reinhold, Hermann | 1893–1940 | Chemiker; Hochschullehrer
Niemeyer, August Hermann | 1754–1828 | Evangelischer Theologe; Pädagoge; Hochschullehrer; Direktor; Schriftsteller; Kirchenlieddichter; Librettist; Selbstverleger
Nebelthau, Johann Eberhard | 1864–1914 | Arzt; Internist
Kautzsch, Rudolf | 1868–1945 | Kunsthistoriker; Buchwissenschaftler
Seifert, Hans Julius Karl | 1893–1976 | Mineraloge
LASA, A 14, Nr. 304: Resignation der Minorpräbende des Herrn von Kleist an Herrn von Rochow
Koellreutter, Otto | 1883–1972 | Jurist; Richter; Hochschullehrer
Hübner, Rudolf | 1864–1945 | Jurist; Hochschullehrer
Koch, Johannes | 1901–1969 | Arzt; Hals-Nasen-Ohren-Arzt
Körner, Hans | 1862–1929 | Zahnarzt; Militärarzt; Hochschullehrer
Hoffmeister, Johannes | 1894–1974 | Meteorologe
Boeke, Hendrik Enno | 1881–1921 | Mineraloge
Reiner, Hans | 1896–1991 | Philosoph; Pädagoge; Hochschullehrer
Schubart-Fikentscher, Gertrud | 1896–1985 | Historikerin; Jurist
LASA, A 14, Nr. 129: Mit dem Domkapitel zu Hildesheim geführte Korrespondenz in puncto der neuen Stiftsverfassung
LASA, A 14, Nr. 291: Majorpräbende des Herrn von Hertefeld
Giebel, Christian Gottfried Andreas | 1820–1881 | Biologe; Zoologe; Paläontologe
Schuchardt, Hugo | 1842–1927 | Philologe; Romanist; Linguist; Hochschullehrer
Spener, Jacob Carl | 1684–1730 | Jurist; Historiker; Hochschullehrer
Haußleiter, Gottlob | 1857–1934 | Theologe; Pfarrer; Vikar; Lehrer; Hochschullehrer
LASH Abt. 268 Nr. 417: Protokollum rev. capituli Lubicensis
Kohlschütter, Ernst | 1837–1905 | Arzt; Hochschullehrer; Kommunalpolitiker
Kauffmann, Max | 1871–1923 | Psychiater; Neurologe; Arzt; Jurist; Hochschullehrer
Bosch, Clemens Emin | 1899–1955 | Philologe; Althistoriker; Numismatiker; Hochschullehrer
Conrad, Johannes | 1839–1915 | Wirtschaftswissenschaftler
Büchsel, Friedrich | 1883–1945 | Evangelischer Theologe; Hochschullehrer
Fritsch, Karl von | 1838–1906 | Geologe; Paläontologe; Mineraloge
Baehrens, Wilhelm Adolf | 1885–1929 | Klassischer Philologe; Hochschullehrer
Friedländer, Carl | 1847–1887 | Arzt; Pathologe; Mikrobiologe; Bakteriologe
Mrugowsky, Joachim | 1905–1948 | Arzt; Biologe; Botaniker
Fück, Johann | 1894–1974 | Philologe; Orientalist
Isenbeck, Karl | 1904–1945 | Botaniker; Pflanzenbau
Gren, Friedrich Albrecht Carl | 1760–1798 | Arzt; Physiker; Chemiker; Pharmakologe; Apotheker
Kramer, Gustav | 1806–1888 | Schulleiter; Pädagoge; Klassischer Philologe; Theologe
LASH Abt. 268 Nr. 26: Präsenz der Domherren zu Lübeck
Wolff, Hellmuth | 1876–1961 | Wirtschaftswissenschaftler; Statistiker; Kurator <Museumskunde>; Hochschullehrer
Wissowa, Georg | 1859–1931 | Klassischer Philologe; Hochschullehrer; Regierungsrat
Windelband, Wolfgang | 1886–1945 | Historiker; Ministerialbeamter; Ministerialrat
Woermann, Emil | 1899–1980 | Agrarwissenschaftler; Hochschullehrer
Windisch, Hans | 1881–1935 | Evangelischer Theologe; Hochschullehrer
Wissmann, Wilhelm | 1899–1966 | Philologe; Linguist
Weege, Fritz | 1880–1945 | Archäologe; Hochschullehrer
Wegner, Arthur O. Rudolf | 1900–1989 | Jurist; Hochschullehrer
Gosche, Richard | 1824–1889 | Orientalist; Literarhistoriker
Mestwerdt, Gustav | 1910–1979 | Arzt; Gynäkologe
Rahlwes, Alfred | 1878–1946 | Musikdirektor; Komponist; Dirigent; Komponist
Hering, Hermann | 1838–1920 | Evangelischer Theologe; Konsistorialrat; Krankenpfleger; Diakon; Archidiakon; Prediger; Superintendent; Hochschullehrer
Joachim, Johann Friedrich | 1713–1767 | Historiker; Jurist; Publizist
Christ, Karl | 1878–1943 | Philologe; Romanist; Bibliotheksdirektor; Bibliothekar; Bibliothekswissenschaftler
Eigler, Gerhard | 1900–1975 | Arzt; Hals-Nasen-Ohren-Arzt; Direktor
Feine, Paul | 1859–1933 | Evangelischer Theologe; Gymnasiallehrer; Erzieher; Hochschullehrer
Schulz, Walther | 1887–1982 | Prähistoriker; Hochschullehrer; Museumsdirektor; Kurator <Museumskunde>
LASA, A 14, Nr. 115: Ordnung der Majorherren und ihre Stellung nach geendigten elditisch-fürstenbergischen Prozessen
Koch, Herbert | 1880–1962 | Archäologe; Hochschullehrer
Lütgert, Wilhelm | 1867–1938 | Evangelischer Theologe; Neutestamentler; Rektor; Hochschullehrer
Eberth, Carl Joseph | 1835–1926 | Arzt; Pathologe; Anatom; Hochschullehrer
Schirmer, Otto | 1864–1917 | Augenarzt; Arzt
Freytag, Carl | 1831–1908 | Agrarwissenschaftler; Zoologe; Hochschullehrer
Girard, Heinrich | 1814–1878 | Mineraloge; Geologe
LASA, A 14, Nr. 249: Die dem Herzog Philipp Ernst konferierte Gräflich Lippische Präbende und deren Zession an den Herrn von Planitz
David, Oskar | 1880–1942 | Arzt; Internist; Radiologe; Militärarzt; Hochschullehrer
Schürmann, Walter | 1880–1974 | Bakteriologe; Arzt; Dozent
Langlet, Joachim-Friedrich | 1906–1979 | Agrarwissenschaftler; Hochschullehrer
Siedentop, Irmfried | 1902–1995 | Geograf; Meteorologe; Dozent
Neumann, Karl Johannes | 1857–1917 | Historiker
LASA, A 14, Nr. 294: Aszension des Minorherrn von Byern bei des von Ende Absterben
Gundling, Nicolaus Hieronymus | 1671–1729 | Theologe; Jurist; Historiker; Philosoph; Publizist
Lintzel, Martin | 1901–1955 | Historiker; Hochschullehrer
Sperlette de Montguyon, Bartholomäus Johann
LASA, A 14, Nr. 306: Konferierung der Buschschen Erbpräbende an Werner Ludwig Clamor von Busch
Klinkowski, Maximilian | 1904–1971 | Biologe
Goetze, Otto | 1886–1955 | Arzt; Chirurg; Schiffsarzt; Hochschullehrer
LASA, A 14, Nr. 161: Rathaus zu Dardesheim und Besetzung der Ratsstellen
Hoffmann, Friedrich | 1660–1742 | Arzt; Chemiker; Hochschullehrer
Eißfeldt, Otto | 1887–1973 | Religionswissenschaftler; Evangelischer Theologe; Hochschullehrer; Alttestamentler
Hoeßlin, Heinrich von | 1878–1955 | Arzt; Schiffsarzt; Internist; Militärarzt; Hochschullehrer
Büchner, Andreas Elias | 1701–1769 | Arzt; Physiker; Hochschullehrer
Lehnerdt, Friedrich | 1881–1944 | Arzt; Kinderarzt; Militärarzt; Hochschullehrer
Kühn, Julius | 1825–1910 | Agrarwissenschaftler; Landwirt
Ihm, Max | 1863–1909 | Klassischer Philologe
Rothmann, Hans | 1899–1970 | Arzt; Internist; Militärarzt
LASH Abt. 268 Nr. 543: Auszüge aus dem Kapitels-Protokoll, angefangen vom Syndikus Detharding, fortgesetzt vom Syndikus Dr. Buchholz (chronologischer Index)
Niese, Benedikt | 1849–1910 | Historiker; Althistoriker; Klassischer Philologe; Hochschullehrer
Anderssen, Walther | 1882–1965 | Jurist; Hochschullehrer
Rudorf, Wilhelm | 1891–1969 | Pflanzenzüchter; Agrarwissenschaftler; Hochschullehrer
Galling, Kurt | 1900–1987 | Evangelischer Theologe; Archäologe; Hochschullehrer
Roemer, Theodor | 1883–1951 | Agrarwissenschaftler; Hochschullehrer
Schnabel, Paul | 1887–1947 | Historiker; Althistoriker; Altorientalist; Lehrer; Hochschullehrer
Fuchs, Walter Heinrich | 1904–1981 | Agrarwissenschaftler
Gerstenberg, Kurt | 1886–1968 | Kunsthistoriker; Hochschullehrer
Specht, Franz | 1888–1949 | Linguist; Lehrer; Studienrat; Hochschullehrer
LASA, A 14, Nr. 288: Vom Hofe erforderte Berichte, wie viel pro honorario für die Präbenden bezahlt werde
Taschenberg, Otto | 1854–1922 | Zoologe; Ornithologe; Sachverständiger; Hochschullehrer
Volkmann, Alfred Wilhelm | 1801–1877 | Arzt; Physiologe
Valentiner, Siegfried | 1876–1971 | Physiker; Mathematiker
Troll, Wilhelm | 1897–1978 | Botaniker; Biologe; Hochschullehrer
Taschenberg, Ernst Ludwig | 1818–1898 | Zoologe
Trillhaas, Wolfgang | 1903–1995 | Theologe; Pfarrer
Thulin, Oskar | 1898–1971 | Kunsthistoriker; Theologe
Tomasczewski, Egon | 1874– | Arzt; Hautarzt
Leuze, Oscar | 1874–1934 | Althistoriker; Lehrer; Evangelischer Theologe; Hochschullehrer
Jirku, Anton | 1885–1972 | Alttestamentler; Religionswissenschaftler; Hochschullehrer
Fodor, Andor | 1884–1968 | Chemiker; Hochschullehrer
Philippi, Johann Ernst | 1700–1758 | Jurist; Philologe; Hochschullehrer; Selbstverleger
Braunschweig, Paul | 1859–1927 | Arzt; Augenarzt; Militärarzt
Friedberg, Robert | 1851–1920 | Politiker; Jurist
LASH Abt. 268 Nr. 436: Protokollum rev. capituli Lubicensis: Band 33
Schulze, Johann Ludwig | 1734–1799 | Orientalist; Evangelischer Theologe; Philologe; Hochschullehrer; Direktor
LASH Abt. 268 Nr. 32: Resignation von Kanonikaten
LASA, A 14, Nr. 271: In causa contra fiscum regium, wegen der Strafe für die Hüneckesche Prezistenpräbende
Dobschütz, Ernst von | 1870–1934 | Theologe; Schriftführer; Hochschullehrer
Schubart, Christoph Andreas | 1663–1723 | Jurist
Heineccius, Johann Gottlieb | 1681–1741 | Jurist; Hochschullehrer
Seeberg, Erich | 1888–1945 | Evangelischer Theologe; Kirchenhistoriker; Neutestamentler; Militärgeistlicher; Hochschullehrer
Ritschl, Otto | 1860–1944 | Evangelischer Theologe; Hochschullehrer
Kemme, Johann Christlieb | 1738–1815 | Arzt; Bibliothekar
Laqueur, Ernst | 1880–1947 | Pharmakologe; Physiologe; Hochschullehrer
Juncker, Johann | 1679–1759 | Arzt; Chemiker; Hochschullehrer; Hofrat
Grunke, Wilhelm | 1895–1975 | Arzt; Internist; Hochschullehrer
Rooks, Gerhard | 1901–1975 | Arzt; Hochschullehrer
Eickschen, Karl | 1901–1958 | Geschäftsführer; Betriebswirt; Landwirt; Lehrer; Hochschullehrer
Koepp, Wilhelm | 1885–1965 | Theologe; Evangelischer Theologe; Militärgeistlicher; Hochschullehrer
Gorten, Manfred L. | 1886–1952-08 | Arzt; Neurologe; Psychiater; Militärarzt
Göhring, Martin | 1903–1968 | Historiker; Hochschullehrer
Heintz, Wilhelm Heinrich | 1817–1880 | Chemiker; Hochschullehrer; Apotheker
Lastig, Gustav | 1844–1930 | Jurist; Hochschullehrer
Anton, Gabriel | 1858–1933 | Arzt; Psychiater; Neurologe; Geheimer Rat; Hochschullehrer; Militärarzt
Hackemann, Friedrich August | 1670–1742 | Jurist; Hochschullehrer; Bibliothekar
LASH Abt. 268, Nr. 428: Protokollum rev. capituli Lubicensis: Band 25
Bernhardy, Gottfried | 1800–1875 | Klassischer Philologe; Bibliothekar
Jahn, Martin | 1888–1974 | Historiker; Prähistoriker
LASA, A 15, B Nr. 17: Protest gegen Verleihung der erledigten Major-Präbende des von Sibelstorff an den Sohn des Oberst Knigge
Aschner, Bernhard | 1883–1960 | Arzt; Gynäkologe; Physiologe; Chirurg; Endokrinologe; Medizinhistoriker; Übersetzer
Koch, Rudolf | 1909–1963 | Arzt; Rechtsmediziner
Robert, Carl | 1850–1922 | Archäologe; Klassischer Philologe; Hochschullehrer
Guericke, Heinrich Ernst Ferdinand | 1803–1878 | Evangelischer Theologe; Kirchenhistoriker; Hochschullehrer
Kohlmeyer, Ernst | 1882–1959 | Evangelischer Theologe; Hochschullehrer; Kirchenhistoriker; Pfarrer; Militärgeistlicher
Jung, Heinrich W. E. | 1876–1953 | Mathematiker; Hochschullehrer
Schenck, Günther Otto | 1913–2003 | Chemiker; Hochschullehrer
Knoblauch, Karl Hermann | 1820–1895 | Physiker; Hochschullehrer
Bergener, Johann Carl Erdmann | 1770–1813 | Arzt
Dittenberger, Wilhelm | 1840–1906 | Klassischer Philologe
Weidemann, Johannes | 1897–1954 | Oberbürgermeister; Honorarprofessor; Jurist; Nationalsozialist
Weigelt, Johannes | 1890–1948 | Geologe; Paläontologe; Museumsdirektor; Hochschullehrer
Weber, Wilhelm | 1882–1948 | Althistoriker; Historiker; Hochschullehrer; Gymnasiallehrer
Wehrn, Christian Wilhelm | 1746–1815 | Philosoph
Wehrung, Georg | 1880–1959 | Theologe; Hochschullehrer; Pfarrer
Wechßler, Eduard | 1869–1949 | Romanist; Philologe
Vorländer, Daniel | 1867–1941 | Chemiker
Voss, Hermann | 1894–1987 | Anatom; Arzt
Eltzbacher, Paul | 1868–1928 | Jurist; Volkswirt; Sozialwissenschaftler
LASH Abt. 268 Nr. 447: Protokollum rev. capituli Lubicensis: Band 44
Köppe, Johann Moritz | 1832–1879 | Psychiater
Otto, Martin Heinrich | 1706–1738 | Philosoph; Jurist; Hochschullehrer
Seeligmüller, Otto Ludwig A... | 1837–1912 | Arzt; Neurologe
Muff, Christian | 1841–1911 | Klassischer Philologe; Germanist
Bechtel, Friedrich | 1855–1924 | Philologe; Indogermanist; Linguist; Hochschullehrer
Eberhard, Johann Peter | 1727–1779 | Arzt; Naturwissenschaftler; Mathematiker; Physiker
Rosenbaum, Georg August Wilhelm Julius | 1807–1874 | Arzt
Horsters, Hans | 1887–1957 | Arzt; Hochschullehrer
Schmaltz, Kurt | 1900–1995 | Wirtschaftswissenschaftler; Diplomkaufmann; Wirtschaftsprüfer; Steuerberater; Hochschullehrer
Hoffmann, Gerhard | 1880–1945 | Physiker
Schniewind, Julius | 1883–1948 | Neutestamentler; Evangelischer Theologe; Militärgeistlicher; Propst; Hochschullehrer
Tartler, Georg | 1899–1976 | Arzt; Hochschullehrer; Rektor
Jordan, Rudolf | 1902–1988 | Politiker; Gauleiter; Reichsstatthalter; Lehrer
Rothstein, Johann Wilhelm | 1853–1926 | Alttestamentler; Theologe
Holländer, Ludwig Heinrich | 1833–1897 | Arzt; Zahnarzt
Froriep, Ludwig Friedrich von | 1779–1847 | Arzt; Chirurg; Hochschullehrer; Verleger
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Runs at 12 UTC. Further includes observational data base. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Runs at 00 UTC. Further includes observational data base. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Spatial variables of runs at 00 UTC. No observational data base included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
Operational convection-permitting COSMO/ICON ensemble predictions at observation sites (CIENS): Spatial variables of runs at 12 UTC. No observational data base included. For more information, see the corresponding Github-repository at https://github.com/slerch/CIENS.
We present a dataset of 3D CAD models (.stl) from the field of mechanical engineering. There are 7 core classes (cover, flange, housing, mounting, rodprobe, sensor, tube) and 5 additional classes (cableconnector, dismiss, diverse, fork, funnelantenna). The dataset has been hand labelled with categories.These models are for demonstration purpose only and do not reflect actual products
Machine Learning, CAD, Engineering, 3D Objects, 3D Graphics, Shape Completion, ShapeNet, 3D Shape Recognition
Department of Prosthodontics, University of Würzburg
Department of Diagnostic and Interventional Radiology, University of Freiburg
Insititute of Sports and Sports Science, Karlsruhe Institute of Technology
In this experiment, 48 physically active adults aged between 18 and 30 years are tested. The experimental design includes one measurement time. An oscillating stability platform, Posturomed (Haider-Bioswing, Weiden, Germany) is used to evaluate the postural dynamic reactive stability.
The research project "Influence of the craniomandibular system on human postural control" is funded by the German Research Foundation (DFG). The aim of the project is to investigate for the first time the influences of controlled motor activity of the craniomandibular system (CMS) on human postural control in predictable and non-predictable dynamic situations. For this purpose, the movements of participants during different dynamic equilibrium tasks are recorded in the kinematic and muscular level, and analyzed using methods that are directly derived from current models of motor control. With this interdisciplinary research approach, previous research work will be continued in a targeted manner in order to comprehensively understand the influence of the CMS on postural control processes.
o Raw data o Fully labeled data o Demographic (gender) and anthropometric (e.g., height, weight) data o Methods are described in the referred paper
Data for "Influence of Controlled Stomatognathic Motor Activity on Sway, Control and Stability of the Center of Mass During Dynamic Steady-State Balance—An Uncontrolled Manifold Analysis"
o Raw data (EMG and Marker data) o Demographic (gender) and anthropometric (e.g., height, weight) data o Methods are described in the referred paper
Data for "Influence of oral motor tasks on postural muscle activity during dynamic reactive balance"
Data for "Influence of controlled masticatory muscle activity on dynamic reactive balance"
Chiral metamaterials can translate purely translational motions into rotations. The strength of this coupling is quantified by the chiral response, which describes the angle by which a straight prismatic rod twists when subjected to a pure tensile or compressive load. The blocking torque describes how much torque is required to prevent the rod from twisting. For continuum mechanical modeling of a chiral response, generalized models such as micropolar continuum theory are needed. In micropolar elasticity, various characteristic lengths exist, allowing size-dependent material properties to be modeled. If the dimension of a sample is much larger than the characteristic length related to chirality, the chiral response vanishes. In this case, it approaches its limit with a characteristic decay inversely proportional to the sample size. In this work, finite element simulations of an idealized lattice structure under tensile load were used to show that the characteristic length can be tailored over orders of magnitude when chiral unit cells are connected via compliant achiral coupling elements. The characteristic length increases as the connecting elements become more compliant. As the characteristic length increases, so does the chiral response. In addition, the influence of geometric nonlinearities and the sensitivity to boundary conditions increase with increasing characteristic length. The design principle derived from the idealized lattice structure has been used to design a chiral metamaterial fabricatable by two-photon stereolithography. Through direct comparison with experiments on lattice structures consisting of more than 10⁵ unit cells, the relationships predicted by the finite element simulations were validated. Lastly, non-periodic chiral structures were considered and it was shown that they can have advantageous properties over periodic structures, especially with respect to the blocking torque.
Chirale elastische Metamaterialien: Grundlegende Mechanismen und deren Nutzung zur Strukturoptimierung
YiChen_Experimental Observation of Roton-Like Dispersion Relations in Metamaterials
In this experiment, 48 physically active adults aged between 18 and 30 years are tested. The experimental design includes two measurement times with a two-week intervention phase inbetween. A stability platform (Lafayette Instrument Company, Indianapolis, US) is used to evaluate the postural dynamic steady-state stability, as well as for balance training. As in Experiment 1, a RehaBite® is also used here for the same purposes.
Data for "Persisting effects of jaw clenching on dynamic steady-state balance"
In this experiment, 48 physically active adults aged between 18 and 30 years are tested. The experimental design includes two measurement times (T1 and T2) with a 1 week of invervention phase inbetween. An oscillating stability platform, Posturomed (Haider-Bioswing, Weiden, Germany) is used to evaluate the postural dynamic reactive stability.
Data for "Effects of jaw clenching on dynamic reactive balance task performance after 1-week of jaw clenching training"
ASKIVIT: Altholzgewinnung aus Sperrmüll durch künstliche Intelligenz und Bildverarbeitung im VIS-, IR- und Terahertz-Bereich
WoodVIT: Extraction of Wood from Bulk Waste through Artificial Intelligence and Image Processing in the VIS, IR, and Terahertz Ranges
Institute of Industrial Information Technology
This deep learning dataset is designed for image classification and segmentation of bulky waste. It contains 22,659 patches with dimensions of 50 × 50 × 717 px. The dataset provides both patch-wise and pixel-wise annotations, with labels categorized into two main classes and 16 subclasses. The data was acquired using a multi-sensor imaging system comprising a high-resolution VIS/RGB camera, a hyperspectral NIR camera, a thermographic camera, and a THz scanner.
Multi-sensor, multispectral, multimodal, hyperspectral, image data, image classification, annotation, patch-wise, pixel-wise, ground truth, bulky waste, artificial intelligence, image processing, VIS, NIR, IR, THz, segmentation, thermographic, hyperspectral imaging, dataset, deep learning, bulky waste, wood extraction, material recovery
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research Troposphere Research
Institute of Meteorology and Climate Research Troposphere Research
Original Doppler lidar measurements from the Doppler lidar Lockheed Martin WindTracer WTX located at Villingen-Schwenningen, Germany (48.0563°N, 8.487°E) during the Swabian MOSES 2023 field campaign from June to August 2023. A system signal failure occurred between 10th and 14th June 2023.
Doppler lidar measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 0 netCDF files
Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Bologna, Italy
Data from CORONA_new campaign taking place from 2021-08-18 - 2021-04-22 at KIT Campus North. This dataset represents the raw data and the processed data as created by the PIA software v3.0.0 (https://doi.org/10.5281/zenodo.15592883).
Data related tp publication https://doi.org/10.1103/PhysRevB.104.024511
Inhomogeneous time-reversal symmetry breaking in Sr2RuO4 - Data
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
The Synset Boulevard dataset is designed for the task of vehicle make and model recognition (VMMR), and is—to the best of our knowledge—the first entirely synthetically generated large-scale VMMR image dataset. Through the simulation of image data rather than the manual annotation of real data, it is intended to mitigate common challenges in state-of-the-art VMMR datasets, namely bias, human error, privacy, and the challenge of providing systematic updates. On the other hand, the provision and use of synthetic data introduce individual challenges, such as potential domain gaps and a less pronounced intra-class variance. The dataset was generated using path tracing and physically-based, data-driven models, and contains 32,400 independent images (each with different imaging simulations and with/without masked license plates, leading to a total of 259,200 images) from 162 different vehicle models of 43 makes depicted in front view. It is split into 8 sub-datasets to investigate the influence of optical/imaging effects on the classification ability.
Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg
Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_125 located at Fischerbach, Germany (48.2824°N, 8.1053°E) during the Swabian MOSES 2023 field campaign from June to August 2023.
Doppler lidar measurements from Fischerbach, Swabian MOSES 2023, Level 0 netCDF files
Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_172 located at Albbruck, Germany (47.5858°N, 8.13°E) during the Swabian MOSES 2023 field campaign from June to August 2023. An instrument failure occurred on 24th August 2023. Measurements after this failure are not valid.
Doppler lidar measurements from Albbruck, Swabian MOSES 2023, Level 0 netCDF files
Data from CORONA campaign taking place from 2020-11-16 - 2021-02-25 at KIT Campus North. This dataset represents the raw data and the processed data as created by the PIA software v3.0.0 (https://doi.org/10.5281/zenodo.15592883).
Okinawa Institute of Science and Technology Graduate University(OIST)
Processed micro-tomographic scan of the ant Hypoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax morschi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponerinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Hymenoptera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica sanguinea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Platythyrea punctata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 10\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Die aktualisierten Daten finden Sie unter http://dx.doi.org/10.5445/IR/1000126534
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 2)
Processed micro-tomographic scan of the ant Eciton burchelli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Probolomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole oxyps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Fisheropone ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys aff zeteki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex arnoldinus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma heathi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
This archive provides supplementary materials for the doctoral thesis Optimized Energy Hub Scheduling Using Evolutionary Algorithms. For an elaborate explanation of the contents, please see README.md.
Optimized Energy Hub Scheduling Using Evolutionary Algorithms - Supplementary Materials
In the following some data description is provided: - date format is dd/mm/yyyy - every transmission line is in one column: - data is given as follows "color / int W": int W indicates the amount of load in Watt [W] on the respective line, color indicates the ratio of load and thermal capacity limit: green: below 50 percent, yellow between 50 and 70 percent, red over 70 percent of the thermal capacity limit or grey if no data could be published
The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. The data is not preprocessed but merged into one file to allow faster analysis. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
Processed micro-tomographic scan of the ant Polyrhachis militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster gracillima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Numerical data for Figs. 2, 3, 7, 8, and 11 of the paper "Quantum discontinuity fixed point and renormalization group flow of the SYK model" by R. L. Smit et al. [DOI: 10.1103/PhysRevResearch.3.033089, see readme.txt inside the main data folder
Quantum discontinuity fixed point and renormalization group flow of the SYK model - DATA
Raw data from tribological experiment, topography measurements and optical micrographs
Raw Data to publication on the effect of different surface treatments on tribological properties of additively manufactured samples. "Tribological Performance of Additively- Manufactured AISI H13 Steel in Different Surface Conditions"
Processed micro-tomographic scan of the ant Paraparatrechina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Mymaridae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Die 2554 User-Storys sind von der abstrakten Form "Als [Rolle], wünsche ich mir [Mittel], um [Zweck]." Zusätzlich sind Informationen über die Forschungsdisziplin nach DFG-Schema gespeichert und wie die Story kategorisiert wurde. Es ist eine einfache CSV-Datei mit Semikolon als Trennzeichen.
In 2554 User Storys wurden die Aussagen von 779 Forschenden zu ihren Bedarf beim Umgang mit Forschungsdaten zusammengefasst. Der zugehörige Projektabschlussbericht fasst diese Einzelaussagen in durch diese Daten quantifizierbaren Themen zusammen.
The retrieval processor used is described in von Clarmann et al. (2003, 2009). T. von Clarmann, N. Glatthor, U. Grabowski, M. Höpfner, S. Kellmann, M. Kiefer, A. Linden, G. Mengistu Tsidu, M. Milz, T. Steck, G. P. Stiller, D. Y. Wang, H. Fischer, B. Funke, S. Gil-López, and M. López-Puertas, Retrieval of temperature and tangent altitude pointing from limb emission spectra recorded from space by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), J. Geophys. Res., Vol. 108, No. D23, 4736, doi:10.1029/2003JD003602, 2003. T. von Clarmann, M. Höpfner, S. Kellmann, A. Linden, S. Chauhan, B. Funke, U. Grabowski, N. Glatthor, M. Kiefer, T. Schieferdecker, G. P. Stiller, and S. Versick, Retrieval of temperature, H2O, O3, HNO3, CH4, N2O, ClONO2 and ClO from MIPAS reduced resolution nominal mode limb emission measurements, Atmos. Meas. Tech., Vol. 2(1), 159-175, 2009.
This data set contains MIPAS averaging kernels used by König et al, (2019). N. König, P. Braesicke and T. von Clarmann, Tropopause altitude determination from temperature profile measurements of reduced vertical resolution, Atmos. Meas. Tech., accepted for publication, 2019
Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Experimental data of the publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries", Journal of The Electrochemical Society 2024.
Research Data of the Publication "Unveiling the Interplay of Structural and Electrochemical Degradation of LiNi0.85Mn0.05Co0.05O2 Cathode Material for Li-Ion Batteries"
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT)
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Data of magnetic SQUID measurements and data necessary to reproduce quantum chemical calculations
Dy2 Schiff Base Single Molecule Magnet Forming a Halogen Bonding Network – Experiment and Theory
http://orcid.org/This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
This dataset contains about 1.8 million body surface potentials (BSPs) simulated using 1000 heart models generated using a statistical shape model. It has been used in [1,1a]. Here, only the noise-free BSPs are provided. Due to its size, this is a multi-part dataset. Part 1: https://doi.org/10.5445/IR/1000156139 Part 2: https://doi.org/10.5445/IR/1000156554 Part 3: https://doi.org/10.5445/IR/1000156555 Part 4: https://doi.org/10.5445/IR/1000156556 Part 5: https://doi.org/10.5445/IR/1000156557 Each archive XXXX-YYYY.tar contains 20 heart models and corresponding signals. Each subdirectory within the archive contains: - heart.vtp: A triangle mesh of the heart including the point data: - ab, rt, rtCos, rtSin, tm, tv: Consistent biventricular coordinates [2]. - class: Boundary regions used as input for the computation of fiber orientations [3]. - trigger: 1-based indices of the ca. 600 foci (-1000 if not a focus). - heart_transform_matrices.mat: A 1 x 3 cell array containing 4 x 4 transformation matrices that describe the pose of the heart within the torso. Apply the matrix from heart_transform_matrices.mat to the nodes in heart.vtp. - actTimes.mat: A numNodes x numFoci matrix of activation times computed using the fast iterative method [4,5] (conduction velocity in fiber direction: 1 m/s, perpendicular to fiber direction: 1/2.7 m/s). - bsp.mat: - bsp: A numElectrodes x numTimeSamples x numHeartPoses x numFoci matrix of BSPs computed by aligning a transmembrane voltage template with scaled activation times (see actTimeScalings.mat below) and solving the second bidomain equation using the boundary element method [6]. - bspEnd: Time index of the end of depolarization (largest scaled activation time). The archive general.tar contains heart-model-independent data and parameters used to generate the individual heart models: - torso.vtp: A triangle mesh of the torso including the point data: - electrodes: 1-based indices of the 200 electrodes (-1000 if not an electrode). - heart_meanshape.vtp: A triangle mesh of the mean shape of the statistical shape model [7,8]. - heart_shapemodel.mat: - pc: A 3*numNodes x numModes matrix of principal components (numModes = 100). - var: A numModes x 1 vector of variances. - weights: A numModes x numModels matrix of weights used to generate the 1000 heart models. - heart_alignment_matrix.mat: A 4 x 4 transformation matrix describing the alignment of the mean shape with the torso-specific heart. Only to be appleid to node coordinates in within general.tar (already contained in heart_transform_matrices.mat). - heart_transform_params.mat: A struct containing roll, pitch, yaw angles and x, y, z translations used to generate the heart_transform_matrices.mat (see above). - fiber_angles.mat: - alphaEndo: numModels x 1 vector of endocardial fiber angles used to generate fiber orientations. - alphaEpi: numModels x 1 vector of epicardial fiber angles used to generate fiber orientations. - actTimeScalings.mat: - A numModels x numFoci matrix of factors used to scale the activation times. - tmv_template.mat: The transmembrane voltage time course used to compute BSPs. - heart_classes.vtp: A coarse triangle mesh of the mean shape used for fuzzy classification. - heart_classes_subdiv.vtp: A subdivided version of the coarse triangle mesh of the mean shape used to convert between Cobiveco and barycentric coordinates. [1] https://doi.org/10.48550/arXiv.2209.08095 [1a]https://doi.org/10.1016/j.artmed.2023.102619 [2] https://doi.org/10.1016/j.media.2021.102247 [3] https://github.com/KIT-IBT/LDRB_Fibers [4] https://github.com/KIT-IBT/FIM_Eikonal [5] https://doi.org/10.1137/120881956 [6] https://doi.org/10.1016/j.cmpb.2007.09.004 [7] https://doi.org/10.5281/zenodo.4506463 [8] https://doi.org/10.1016/j.media.2015.08.009
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart posiitions in the torso.
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 3)
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 5)
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 4)
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 2)
Institut für Thermische Verfahrenstechnik
In electrical automotive application lithium-ion battery cells containing a NMC532 cathode chemistry are state-of-the art[1]. To model their thermal-electrical performance during application, the thermal and electrical properties are essential. In this work, we present the thermal material properties of the coatings of the investigated NMC532 / graphite cell. These include the heat capacity measured with a differential scanning calorimeter and the density measured with a pycnometer. The temperature dependent thermal conductivity of the coatings is then calculated from the thermal diffusivity of double sided coated current collector, which is conducted with a laser flash analysis. The standard deviations with error propagation of the coatings are maximum of ≈ 7 %.
The commercial 3.4 Ah pouch cell contains a NMC532 / graphite cell chemistry[2]. The procedure is the same as already described by Cloos et al.[5]: “The cell opening is performed at a State of Charge (SoC) of 0 % in an inert environment in a glove box. After disassembly, the anode and cathode sheets were triple washed with DMC and left to dry. For the density and heat capacity measurements, the coatings of both anode and cathode sheets were scraped off. For the thermal diffusivity measurements 18 mm double coated coins were punched from the sheets. All probes were exposed to air only very shortly before inserting them into the measurement devices. The experimental analysis is performed according to Oehler et al.[3]. The density measurement is done with a Micro Ultrapyc 1200e Gas (Quantachrome Instruments) pycnometer in nitrogen gas. The heat capacity is measured in a Q2000 (TA Instruments) differential scanning calorimeter in a temperature range from -40 °C to 60 °C. The thermal diffusivity measurement of the double coated coins is performed in helium atmosphere in a LFA 467 Hyperflash (NETZSCH-Gerätebau GmbH) in a temperature range from -20 °C to 60 °C. To calculate the thermal conductivity of the coatings via a serial connection[4], additional knowledge of the layer thicknesses, porosities of the coatings and the thermal material properties of the current collectors are needed. The thicknesses of the coatings and current collectors are measured with a Micromar 40 EWR (Mahr GmbH). A Balance XPE206DR precision scale (Mettler Toledo) was used to measure the mass of the coating probes. The porosity of the coating was then determined gravimetrically. All measurements were conducted at least three times. Error propagation of the standard deviation was performed for the calculated values.”[5] We assume the anode and cathode current collectors to be copper and aluminum respectively. The thermal conductivity at 0 °C[6], the density[5] and temperature dependent heat capacities[5] are obtained from literature. [1] R. Schmuch, R. Wagner, G. Hörpel, T. Placke, M. Winter, Nat Energy 2018, 3, 267–278. [2] L. Cloos, O. Queisser, A. Chahbaz, S. Paarmann, D. U. Sauer, T. Wetzel, Batteries & Supercaps 2024, 7, e202300445. [3] D. Oehler, P. Seegert, T. Wetzel, Energy Technol. 2021, 9, 2000574. [4] A. Loges, S. Herberger, D. Werner, T. Wetzel, Journal of Power Sources 2016, 325, 104–115. [5] L. Cloos, S. Herberger, P. Seegert, T. Wetzel, Karlsruhe Institute of Technology 2024, DOI 10.35097/kAlrZQzUaHBxWkIj. [6] P. Stephan, S. Kabelac, M. Kind, D. Mewes, K. Schaber, T. Wetzel, Eds. , VDI-Wärmeatlas: Fachlicher Träger VDI-Gesellschaft Verfahrenstechnik und Chemieingenieurwesen, Springer Berlin Heidelberg, Berlin, Heidelberg, 2019.
Thermal Material Properties of Commercial NMC532 / Graphite Lithium-Ion Battery Cell
This fog and low stratus formation and dissipation data set has been created by applying logistic regression to a binary FLS data set based on geostationary satellite (SEVIRI) observations.
The fog and low stratus formation and dissipation data set consists of yearly netcdf files. The data set covers central Europe, over the years 2006-2015. The projection is WGS 84. The following data variables are contained in the data set: - diss_time: Dissipation time as timestamp - diss_time_percent: Dissipation time in %, either from sunrise to sunset (daytime) or sunset to sunrise (nighttime) - coef_diss: Coefficient of logistic regression curve used to calculate the dissipation time. It is advised to only use the dissipation times with a coefficient smaller than -0.1. - flag_day_night_diss: For each calculated dissipation time, this flag describes if dissipation occured between sunrise and sunset (day, flag=1) or between sunset and sunrise (night, flag = 0). - form_time: Formation time as timestamp - form_time_percent: Formation time in %, either from sunrise to sunset (daytime) or sunset to sunrise (nighttime) - coef_form: Coefficient of logistic regression curve used to calculate the formation time. It is advised to only use the formation times with a coefficient greater than 0.1. - flag_day_night_form: For each caclulated formation time, this flag describes if formation occured between sunrise and sunset (day, flag=1) or between sunset and sunrise (night, flag = 0).
Satellite-based fog and low stratus cloud formation and dissipation times data set
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe, Germany, Current address: Mathematical Institute for Machine Learning and Data Science at the Catholic University of Eichstätt-Ingolstadt, Ingolstadt, Germany
This repository contains the post-processed outputs, namelist files, and XML configuration files for the conducted model experiments with ICON release 2025.04 associated with the manuscript: [Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint]]( https://doi.org/10.5194/gmd-2024-227), in review, 2025. ICON release 2025.04 is available through the ICON partnership (MPI-M; DWD; DKRZ; KIT; C2SM) (2025). ICON release 2025.04. World Data Center for Climate (WDCC) at DKRZ. [https://doi.org/10.35089/wdcc/iconrelease2025.04](https://doi.org/10.35089/wdcc/iconrelease2025.04) By downloading the ICON source code, users agree to the license terms set by the ICON partners.
Model Experiment Output and Configuration (LINOZV3 Integration into ICON release 2025.04)
Cloud variables of the warm bubble and semi-idealized simulations at hourly resolution, plus eight sensitivity experiments for the semi-idealized setup. Variable descriptions and units are given in the headers of the netcdf files. The naming of the folders corresponding to the sensitivity runs is as follows: semi_ideal_noicemult, semi_ideal_N0_x_0p01, semi_ideal_N0_x_0p1, semi_ideal_N0_x_10,semi_ideal_N0_x_100, semi_ideal_N0_x_1000, semi_ideal_T_2K, semi_ideal_TD_2K contain model output of the sensitivity runs with switched off ice multiplication, scaled heterogeneous ice formation by 0.01, 0.1, 10, 100 and 1000 and an increase in the near-surface temperature or the dewpoint temperature in the boundary layer by 2 K each, respectively. For data with higher time resolution, please contact the authors.
Cloud top phase distributions of simulated deep convective clouds
Institut für Thermische Energietechnik und Sicherheit
The POOL-facility mainly consists of an insulated stainless-steel box with the dimensions 0.5 x 0.5 x 0.2 m³ that is filled up to half the height (0.1 m) with the respective substrate. The height of the LH2-pool that forms above the substrate can be determined using the weight of the complete facility, since it is positioned on a scale, but also 6 thermocouples that are located in different heights above the pool. Ignition point height varies from 8cm to 45cm.
To identify and understand the ignition risks associated with situations unique to liquid hydrogen releases, where factors of cryogenic temperatures are significant. Ares of particular interest are: ignition potential at reduced temperature in the vapour phase; electrostatic charging in liquefied/multiphase mixtures; and energetic multiphase mixtures of hydrogen and oxygen. The key objective is to understand the impact of these particular circumstances on the likelihood of ignition, and to confirm the prioritisation of phenomena for further study within the project. Phenomena: Ignition above the pool under variable conditions (material of the ground, initial temperature).
PRESLHY Experiment series 4.4; Material of the ground: gravel
Computer Vision for Human Computer Interactions Lab (cv:hci), Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology
This dataset contains 11 converted Endoscopy datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. ================================================================================ DATASET LICENSE AND CITATION SUMMARY ================================================================================ -------------------------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- BAGLS: CC BY-NC-SA 4.0 EAD: CC-BY-NC 3.0 ENDOVIS_15: CC-BY-NC 3.0 FETOSCOPY_PLACENTA: CC BY-NC-SA 4.0 FETREG: CC-BY-NC-SA 4.0 HYPER_KVASIR: CC-BY 4.0 KVASIR_CAPSULE_SEG: 'The use of the KvasirCapsule-SEG dataset is restricted for research and educational purposes. The use of the KvasirCapsule-SEG dataset for commercial purposes is forbidden without prior written permission.' KVASIR_SEG:'The use of the Kvasir-SEG dataset is restricted for research and educational purposes. The use of the Kvasir-SEG dataset for commercial purposes is forbidden without prior written permission.' LARYNGEAL_ENDOSCOPIC: CC-BY 4.0 POLYP_DB: 'Publicly Accessible: The dataset is open for research and educational purposes.' CVC_CLINICDB: 'The use of this database is completely restricted for research and educational purposes. The use of this database is forbidden for commercial purposes.' ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] BAGLS ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://zenodo.org/records/3762320 Metadata file: Endoscopy/BAGLS/metadata.json Citation (bibtex): @article{gomez2020bagls, title={BAGLS, a multihospital benchmark for automatic glottis segmentation}, author={G{\'o}mez, Pablo and Kist, Andreas M and Schlegel, Patrick and Berry, David A and Chhetri, Dinesh K and D{\"u}rr, Stephan and Echternach, Matthias and Johnson, Aaron M and Kniesburges, Stefan and Kunduk, Melda and others}, journal={Scientific data}, volume={7}, number={1}, pages={186}, year={2020}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [2] CVC_CLINICDB ---------------------------------------- License: he use of this database is completely restricted for research and educational purposes. The use of this database is forbidden for commercial purposes.' Dataset link: https://polyp.grand-challenge.org/CVCClinicDB/ Metadata file: Endoscopy/CVC_CLINICDB/metadata.json Citation (bibtex): @article{bernal2015wm, title={WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians}, author={Bernal, Jorge and S{\'a}nchez, F Javier and Fern{\'a}ndez-Esparrach, Gloria and Gil, Debora and Rodr{\'\i}guez, Cristina and Vilari{\~n}o, Fernando}, journal={Computerized medical imaging and graphics}, volume={43}, pages={99--111}, year={2015}, publisher={Elsevier} } ---------------------------------------- [3] EAD ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: https://data.mendeley.com/datasets/c7fjbxcgj9/3 Metadata file: Endoscopy/EAD/metadata.json Citation (bibtex): @article{ali2019endoscopy, title={Endoscopy artifact detection (EAD 2019) challenge dataset}, author={Ali, Sharib and Zhou, Felix and Daul, Christian and Braden, Barbara and Bailey, Adam and Realdon, Stefano and East, James and Wagnieres, Georges and Loschenov, Victor and Grisan, Enrico and others}, journal={arXiv preprint arXiv:1905.03209}, year={2019} } ---------------------------------------- [4] ENDOVIS_15 ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: https://archive.iar.kit.edu/opencas/index.html%3Fq=node%252F30.html Metadata file: Endoscopy/ENDOVIS_15/metadata.json Citation (bibtex): @article{bernal2017comparative, title={Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge}, author={Bernal, Jorge and Tajkbaksh, Nima and Sanchez, Francisco Javier and Matuszewski, Bogdan J and Chen, Hao and Yu, Lequan and Angermann, Quentin and Romain, Olivier and Rustad, Bj{\o}rn and Balasingham, Ilangko and others}, journal={IEEE transactions on medical imaging}, volume={36}, number={6}, pages={1231--1249}, year={2017}, publisher={IEEE} } ---------------------------------------- [5] FETOSCOPY_PLACENTA ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://rdr.ucl.ac.uk/articles/dataset/Fetoscopy_Placenta_Dataset/30536171 Metadata file: Endoscopy/FETOSCOPY_PLACENTA/metadata.json Citation (bibtex): @article{Bano2020, title = {FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos}, volume = {15}, ISSN = {1861-6429}, url = {http://dx.doi.org/10.1007/s11548-020-02169-0}, DOI = {10.1007/s11548-020-02169-0}, number = {5}, journal = {International Journal of Computer Assisted Radiology and Surgery}, publisher = {Springer Science and Business Media LLC}, author = {Bano, Sophia and Vasconcelos, Francisco and Vander Poorten, Emmanuel and Vercauteren, Tom and Ourselin, Sebastien and Deprest, Jan and Stoyanov, Danail}, year = {2020}, month = Apr, pages = {791–801} } ---------------------------------------- [6] FETREG ---------------------------------------- License: CC-BY-NC-SA 4.0 Dataset link: https://rdr.ucl.ac.uk/articles/dataset/_b_FetReg_Largescale_Multi-centre_Fetoscopy_Placenta_Dataset_b_/30417166 Metadata file: Endoscopy/FETREG/metadata.json Citation (bibtex): @article{Bano2025, author = "Sophia Bano and Alessandro Casella and Francisco Vasconcelos and Sara Moccia and George Attilakos and Ruwan C. Wimalasundera and Anna L David and Dario Paladini and Jan Deprest and Elena De Momi and Leonardo S. Mattos and Danail Stoyanov", title = "{FetReg: Largescale Multi-centre Fetoscopy Placenta Dataset}", year = "2025", month = "11", url = "https://rdr.ucl.ac.uk/articles/dataset/_b_FetReg_Largescale_Multi-centre_Fetoscopy_Placenta_Dataset_b_/30417166", doi = "10.5522/04/30417166.v1" } ---------------------------------------- [7] HYPER_KVASIR ---------------------------------------- License: CC-BY 4.0 Dataset link: https://datasets.simula.no/hyper-kvasir/ Metadata file: Endoscopy/HYPER_KVASIR/metadata.json Citation (bibtex): @article{Borgli2020, title = {{HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy}}, author = { Borgli, Hanna and Thambawita, Vajira and Smedsrud, Pia H and Hicks, Steven and Jha, Debesh and Eskeland, Sigrun L and Randel, Kristin Ranheim and Pogorelov, Konstantin and Lux, Mathias and Nguyen, Duc Tien Dang and Johansen, Dag and Griwodz, Carsten and Stensland, H{\aa}kon K and Garcia-Ceja, Enrique and Schmidt, Peter T and Hammer, Hugo L and Riegler, Michael A and Halvorsen, P{\aa}l and de Lange, Thomas }, doi = {10.1038/s41597-020-00622-y}, issn = {2052-4463}, journal = {Scientific Data}, number = {1}, pages = {283}, url = {https://doi.org/10.1038/s41597-020-00622-y}, volume = {7}, year = {2020} } ---------------------------------------- [8] KVASIR_CAPSULE_SEG ---------------------------------------- License: - 'The use of the KvasirCapsule-SEG dataset is restricted for research and educational purposes. The use of the KvasirCapsule-SEG dataset for commercial purposes is forbidden without prior written permission.' Dataset link: https://datasets.simula.no/kvasir-capsule-seg/ Metadata file: Endoscopy/KVASIR_CAPSULE_SEG/metadata.json Citation (bibtex): @inproceedings{jha2021nanonet, title = {Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy}, author = { Jha, Debesh and Tomar, Nikhil Kumar and Ali, Sharib and Riegler, Michael A and Johansen, H{\aa}vard D and Johansen, Dag and de Lange, Thomas and Halvorsen, P{\aa}l }, booktitle = {Proceedings of the 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)}, pages = {37--43}, year = {2021} } ---------------------------------------- [9] KVASIR_SEG ---------------------------------------- License: 'The use of the Kvasir-SEG dataset is restricted for research and educational purposes. The use of the Kvasir-SEG dataset for commercial purposes is forbidden without prior written permission Dataset link: https://datasets.simula.no/kvasir-seg/ Metadata file: Endoscopy/KVASIR_SEG/metadata.json Citation (bibtex): @inproceedings{jha2020kvasir, title={Kvasir-seg: A segmented polyp dataset}, author={Jha, Debesh and Smedsrud, Pia H and Riegler, Michael A and Halvorsen, P{\aa}l and de Lange, Thomas and Johansen, Dag and Johansen, H{\aa}vard D}, booktitle={International Conference on Multimedia Modeling}, pages={451--462}, year={2020}, organization={Springer} } ---------------------------------------- [10] LARYNGEAL_ENDOSCOPIC ---------------------------------------- License: CC-BY 4.0 Dataset link: https://github.com/imesluh/vocalfolds Metadata file: Endoscopy/LARYNGEAL_ENDOSCOPIC/metadata.json Citation (bibtex): @article{Laves2019, title = {A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation}, volume = {14}, ISSN = {1861-6429}, url = {http://dx.doi.org/10.1007/s11548-018-01910-0}, DOI = {10.1007/s11548-018-01910-0}, number = {3}, journal = {International Journal of Computer Assisted Radiology and Surgery}, publisher = {Springer Science and Business Media LLC}, author = {Laves, Max-Heinrich and Bicker, Jens and Kahrs, L\"{u}der A. and Ortmaier, Tobias}, year = {2019}, month = Jan, pages = {483–492} } ---------------------------------------- [11] POLYP_DB ---------------------------------------- License: 'Publicly Accessible: The dataset is open for research and educational purposes.' Dataset link: https://github.com/DebeshJha/PolypDB Metadata file: Endoscopy/POLYP_DB/metadata.json Citation (bibtex): @article{Jha2024PolypDB, author = {Debesh Jha and et al.}, title = {PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy}, journal = {Arxiv}, year = {2024}, doi = {10.1109/TMI.2024.1234567} } ---------------------------------------- ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required - For other licenses, please review the specific terms before use
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
Laboratorium für Elektronenmikroskopie (LEM), Karlsruher Institut für Technologie (KIT)
P3 = Fe-3.0Mn-3.0C (at.%), Fe-3.0Mn-0.7C (wt.%) P7 = Fe-6.9Mn-3.2C (at.%) Fe-7.0Mn-0.7C (wt.%) Fig. 3a: Scanning electron microscopy micrograph P3 (pearlite condition, 600 °C/16 h) Fig. 3b: Scanning electron microscopy micrograph P7 (pearlite condition, 540 °C/96 h) Fig. 4a: Transmission electron microscopy micrograph, bright field P3 (pearlite condition, 600 °C/16 h) Fig. 4b: Transmission electron microscopy diffraction pattern P3 (pearlite condition, 600 °C/16 h) Fig. 4c: Transmission electron microscopy micrograph, bright field P7 (pearlite condition, 540 °C/96 h) Fig. 4d: Transmission electron microscopy diffraction pattern P7 (pearlite condition, 540 °C/96 h) Fig. 5a: Atom probe tomography data as Cameca proprietary raw files P3 (pearlite condition, 600 °C/16 h) Fig. 5b: Atom probe tomography data as Cameca proprietary raw files P7 (pearlite condition, 540 °C/96 h) Fig. 7a: Scanning electron microscopy micrograph P3 (short time austenitization and quenching, 770 °C/150 s) Fig. 7b: Scanning electron microscopy micrograph P7 (short time austenitization and quenching, 770 °C/150 s)
Data from "Assessment of the compositional requirements to form Fe-Mn-C austenite-martensite composites"
The mechanism of structural evolution of a three-layer Cu-Mo-Cu laminate under high-pressure torsion (HPT) was studied using scanning and transmission electron microscopy, atom probe tomography, and nanoindentation, complemented with finite element calculations. The results demonstrate a gradual refinement of Mo phases; a greater degree of refinement is observed in the peripheral part of the disk-shaped HPT specimen, although some heterogeneity of the structure remains even at a gigantic degree of shear deformation accumulated therein. The elemental distribution calculated from STEM EDX mapping as well as 3D reconstruction of atom probe tomography results shows a significant degree of mixing of the sample components at the atomic level, such that the concentration of copper in Mo reaches ~4.3 at. %; the corresponding concentration of molybdenum in Cu is ~6 at. %. These observations correlate with nanoindentation results showing an increase in the hardness of both phases due to strain hardening and solid solution strengthening, as well as grain refinement. Numerical simulations made it possible to provide a detailed description of the stages of the structure fragmentation, including its self-organizing nature, to show the formation of rupture forerunners in the hard Mo layer and the deformation of harder fragments in a softer matrix. The proposed model of the process assumes the development of a fractal self-organizing self-similar structure under the influence of such factors as the distribution of the elemental constituents of the laminate, their mechanical properties, and the conditions of HPT processing.
Mechanisms of structural evolution of laminates with immiscible components under high-pressure torsion
LINOZV3 implementation into ICON as part of the ART submodule (for the manuscript : Ramezani Ziarani, M., Sinnhuber, M., Reddmann, T., Funke, B., Bender, S., and Prather, M.: Implementation of solar UV and energetic particle precipitation within the LINOZ scheme in ICON-ART, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2024-227, in review, 2025. All routines listed here are available at the following URL: https://gitlab.dkrz.de/art/art/-/tree/art-linozv3-wip?ref_type=heads. Access to the repository is regulated by the general ICON model access conditions. The latest developments, including the implementation of LINOZ V3, are planned for inclusion in the upcoming release of the ART submodule within ICON. This new version is scheduled for publication as part of Open ICON in the spring 2025. (More information on the latest releases can be found here: https://www.wdc-climate.de/ui/entry?acronym=IconRelease2024.10.)
LINOZV3 implementation into ICON as part of the ART submodule
Institut für Angewandte Materialien – Elektrochemische Technologien (IAM-ET1), Karlsruher Institut für Technologie (KIT)
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
Research data accompanying the publication. Raw and processed electrochemical data (CV/LSV) and kinetic modeling data for every figure in the manuscript. All data is provided in standardized CSV format, organized by figure number. Density Functional Theory (DFT) calculation results are deposited separately.
Research Data of Mechanistic Insights into Zn-Promoted CO2 Electroreduction on α-CuZn Alloys in Aprotic Media
The Electrical Double Layer and Autocatalytic NaF formation in Sodium Ion Batteries
MIPAS Envisat SF6 Sulfur Hexafloride Atmosphere Composition
MIPAS/Envisat yearly global mean profiles of SF6
Institut für Fahrzeugsystemtechnik, Schaeffler Hub for Advanced Research am KIT
This data set contains path specifications of three variants of a circuit for driving tests on the driving dynamics area of the KIT Campus Ost. The path specifications are used as input for a vehicle guidance controller to reproducibly let the automated vehicle follow the given path. Additionally, the three circuits are provided in a format that allows the integration of the tracks into the vehicle dynamics simulation tool CarMaker.
Dieser Datensatz enthält Pfadvorgaben von drei Varianten eines Rundkurses für Fahrversuche auf der Dynamik-Testfläche des KIT Campus Ost. Die Pfadvorgaben dienen als Input für eine automatisierte Fahrzeugführungsregelung, um Versuchsfahrzeuge reproduzierbar dem vorgegebenen Kurs folgen zu lassen. Ergänzend dazu sind die drei Kurse auch in einem Format enthalten, welches die Integration der Rundkurse im Gesamtfahrzeugsimulationstool CarMaker ermöglicht.
# Three Variants of Circuits on Driving Dynamics Area of KIT "Campus Ost" The English version can be found below. ## Einleitung Die drei verschiedenen Kurse (*track_01*, *track_02*, *track_03*) unterscheiden sich in einzelnen Abschnitten, sodass je nach Variante z.B. engere Kurven vermieden werden oder längere gerade Abschnitte auftreten. Die Kurse finden in verschiedenen Projekten des Instituts für Fahrzeugsystemtechnik (FAST) und des Schaeffler Hub for Advanced Research am KIT (SHARE am KIT) Anwendung, beispielsweise zur Präsentation der Projektergebnisse im Projekt SmartLoad oder zur Erforschung neuer Ansätze zur Fahrzeugführungsregelung ([Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034)). Der Datensatz enthält die Kurse zum einen in Form einer Pfad-Definition als Input für einen Pfadfolgeregler und zum anderen als Straßen/Szenario-Definition zur Verwendung in der Gesamtfahrzeugsimulation mit CarMaker. ## Format der Pfaddefinition Die Pfade werden definiert über ein Matlab mat-File in Form eines Structure Array, in welchem diskrete Stützstellen des Pfades enthalten sind. Als Diskretisierung wurde ein Abstand zwischen den Stützstellen von ungefähr 0.3m gewählt. Das verwendete Koordinatensystem, in dem die Koordinaten der Stützstellen definiert sind, ist ein rechtshändiges kartesisches Koordinatensystem, dessen z-Achse nach oben zeigt. Dieses hat seinen Ursprung bei den globalen Koordinaten 49.022732549318°N, 8.432433939454015°E. Die X-Achse zeigt in Richtung des Punktes mit den Koordinaten 49.02303283495321°N, 8.431491841757758°E. An jeder Stützstelle sind folgenden Dimensionen des Pfades definiert: - X-Koordinate in m - Y-Koordinate in m - Referenzgeschwindigkeit v in m/s - Pfad-Koordinate s in m - Bahnkrümmung in 1/m - Tangentiale Pfadorientierung in rad ## Rundkurse in CarMaker Die Tracks können in die Gesamtfahrzeugsimulation mit CarMaker eingebunden werden. Somit kann beispielsweise ein Fahrzeugführungsregler anhand der Rundkurse simulativ optimiert werden und später in der Realität auf dem Testgelände validiert werden. Die Tracks sind in zwei unterschiedlichen Arten modelliert. Zum einen als einspurige Straße (Index „Road“) und zum anderen als Mittellinie auf einer Dynamikfläche (Index „Line“). Letztere Variante lässt bei der Simulation größere Abweichungen vom Soll-Pfad zu, ohne dass es zum Abbruch des Simulationsdurchlaufes durch CarMaker kommt, womit sich diese Variante besser zur Entwicklung von Regler-Algorithmen eignet. Die Integration in ein CarMaker Projekt erfolgt durch Kopieren der zwölf Dateien (*Track_01_Line, Track_01_Line.rd5; Track_01_Road; Track_01_Road.rd5;…*) in den CarMaker Projektordner *…\Data\Road*. In der CarMaker GUI kann der Kurs dann unter *Parameters -> Scenario/Road -> Load Road file* ausgewählt werden. Die erstellten *.rd5* Files basieren auf der CarMaker Version 8.0. ## English version: ## Introduction The three different tracks (*track_01*, *track_02*, *track_03*) differ in some sections, so that depending on the variant, e.g. tighter curves are avoided or longer straight sections occur. The circuits are used in various projects of the Institute of Vehicle System Technology (FAST) and the Schaeffler Hub for Advanced Research at KIT (SHARE at KIT), for example to present project results in the SmartLoad project or to research new approaches for vehicle guidance control ([Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034)). The dataset contains the circuits in the form of a path definition as input for a path tracking controller and as a road/scenario definition for use in the vehicle dynamics simulation tool CarMaker. ## Format of the path definition files The paths are defined using a Matlab mat-file in the form of a structure array containing discrete grid points of the path. As discretization a distance between the grid points of about 0.3m was chosen. The coordinate system used to define the grid points is a right-handed cartesian coordinate system with the z-axis pointing upwards. It has its origin at the global coordinates 49.022732549318°N, 8.432433939454015°E. The x-axis points in the direction of the coordinates 49.02303283495321°N, 8.431491841757758°E. The following dimensions of the path are defined at each grid point: - X-coordinate in m - Y-coordinate in m - Reference velocity v in m/s - Path-coordinate s in m - Path curvature in 1/m - Tangential path orientation in rad ## Tracks in CarMaker The tracks can be integrated into the vehicle dynamics simulation tool CarMaker. For example, a vehicle guidance controller can be simulatively optimized using the paths and later validated in reality on the driving dynamics area. The tracks are modeled in two different ways. On the one hand as a single-lane road (index "Road") and on the other hand as a center line on a driving dynamics area (index "Line"). The latter variant allows larger deviations from the target path during the simulation without causing CarMaker to abort the simulation run, which makes this variant more suitable for the development of controller algorithms. The integration into a CarMaker project is done by copying the twelve files *(Track_01_Line, Track_01_Line.rd5; Track_01_Road; Track_01_Road.rd5;...)* into the CarMaker project folder *...\Data\Road*. In the CarMaker GUI the track can be selected under *Parameters -> Scenario/Road -> Load Road file*. The created *.rd5* files are based on CarMaker version 8.0.
Three Variants of Circuits on Driving Dynamics Area of KIT "Campus Ost"
The repository includes comprehensive details on the scanning process of drill cores using DMT CoreScan3. It covers the scanning types, conditions, available file formats, and the labeling methods for core pieces. Additionally, we offer images of the core boxes, along with detailed photographs of individual core pieces captured by a camera after the structural analysis and labeling.
Bundesministerium für Bildung und Forschung
DAMAST-KIT-Spartak: Drill Core Scans and Core Photos
DAMAST-KIT-N1: Drill Core Scans and Core Photos
Institut für Wasser und Gewässerentwicklung
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V1 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V4 (videos)
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V2 (videos)
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V5 (videos)
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V5 (videos)
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V4 (videos)
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, solid ammonium nitrate) in the Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the PHILEAS campaign with bases in Oberpfaffenhofen, Germany and Anchorage, Alaska, USA, on board the high altitude research aircraft HALO 2023.
netCDF data can be opened with a variety of software tools, including Matlab, Origin, or Python. For a simple GUI solution, Panoply is recommended: https://www.giss.nasa.gov/tools/panoply/download/
Please contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
Institut für Informationssicherheit und Verlässlichkeit
This repository hosts the dataset corresponding to the paper "A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users’ Privacy", which was published at the Privacy Enhancing Technologies Symposium (PETS) in 2024.
Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner's pervasiveness as they interrupt ``natural'' browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners. In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for ``cookie banner interaction.'' We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user's preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set---even for extensions that aim to implement the same cookie choice. Extensions for ``cookie banner interaction'' can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies.
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part1
Karlsruhe Institute of Technology; Inst. of Microstructure Technol.
Karlsruhe Institute of Technology; Institute of Functional Interfaces
Karlsruhe Institute of Technology; Inst. of Microstructure Technol., Inst. of Advanced Membrane Technol.
Karlsruhe Institute of Technology; Inst. of Advanced Membrane Technol.
Karlsruhe Institute of Technology; Institute of Functional Interfaces, KNMFi
Time-of-flight Secondaty Ion Mass Spectrometry, Water treatment/reuse, porphyrins, singlet oxygen, photocatalytic degradation, solar energy
Enhanced photocatalytic efficiency via improved contact in a solar-driven membrane reactor for steroid hormone removal
Staatliches Museum für Naturkunde Stuttgart
Synchrotron X-ray microtomographic data of mayfly genitals described in Stocker et al. 2026: 1) abdomen of an Ecdyonurus venosus male; 2) copula of Ecdyonurus venosus; 3) copula of Ecdyonurus submontanus. Raw tomograms were converted to 8-bit.
Micro-CT data of Ecdyonurus venosus and Ecdyonurus submontanus
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Institute of Atmospheric Science and Climate, National Research Council of Italy, Bologna, Italy
Univ. Grenoble Alpes, CNRS, IRD, G-INP, Institut des Géosciences de l’Environnement, Grenoble, France
Dataset for the paper entitled "AIDA Arctic transport experiment part 1: simulation of northward transport and ageing effect on fundamental black carbon properties" by Zanatta et al. (2025)
This folder contains videos of full plastics cups (Cup_PP_98_def) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V1 (videos)
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V3 (videos)
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V2 (videos)
The repository comprises data from ice nucleation experiments with the PINE instrument shown in the research article Möhler et al., The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles, Figures 3-12, A2, A3, A5, A6. The data is provided in csv format with a comma as delimiter. Each data sets contains either a corresponding readme file or a header describing the content of the data.
Data sets to research article by Möhler et al. “The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles”
Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)
We produce videos of turbulent secondary motions of different sizes as they decay starting from a statistically steady condition. The secondary motions are generated by adding some strip-type roughness to the walls of a channel flow; strip type roughness consists in spanwise-alternating streamwise-elongated strips of smooth and rough wall. The size of the induced motions can be controlled by adjusting the width s shared by smooth and rough strips. Once the secondary motions reach a statistically-steady state, the strip-type roughness is removed; the system evolves towards a spanwise-homogeneous statistically-steady state and the secondary motions decay. The procedure is repeated several times for each value of s to enable the calculation of the ensemble-averaged decay.
Videos of decaying turbulent secondary motions
Atmosphärische Spurenstoffe und Fernerkundung
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2005-2012 as derived from the middle atmosphere (T_561), upper atmosphere (T_661), and noctilucent cloud (T_761) measurement modes mid infrared spectra measurements collected by the MIPAS instrument on board the Envisat satellite. The data version is V8.
The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
MIPAS Envisat middle atmosphere temperature
Version 8 IMK/IAA MIPAS temperatures from 12-15 micrometer spectra: Middle and Upper Atmosphere modes, the data set
The data set comprises CFC-22 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-22_61), RR-NOM (2005 - 2012, F-22_261), RR-UTLS-1 (2005 - 2007, F-22_161), and RR-MA (2005 - 2012, F-22_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS HCFC-22 R-22 Freon 22 Chlorodifluoromethane
Version 8 IMK/IAA MIPAS measurements of HCFC-22: the data set
Velox 3.10 to open the emd file for HRSTEM and STEM-EDX
Interfacial carbides enhance dispersion and grain refinement in melt-processed SiC nanowhisker reinforced magnesium AZ91 alloy
This repository contains the datasets used in the study "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics"by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP). Metadata are stored as headers in each file.
Data sets for the research article "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics" by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP)
The files are named according to the numbering of the figures in the publication. All relevant information and assignments can be found in the data header of each file. Figure_1: (a) Linear sweep voltammetry (LSV) of aniline, and (b) cyclic voltammetry of ZnO, Fe2O3 and ZnFe2O4 in the synthesis precursor solution. Figure 2: Current to time response (I-t) profiles during synthesis of (a) PN, (b) PNZ, (c) PNF and (d) PNZF. Figure 4: XRD spectra of (a) PN synthesized by CV during parameter identification, (b) PN synthesized by CA, (c) ZnO, (d) PNZ, (e) Fe2O3, (f) PNF, (g) ZnFe2O4, (h) PNZF. Figure 5: FT-IR spectra of (a) PN and its composites, (b) ZnO, Fe2O3 and ZnFe2O4. Figure 6: UV/Vis spectra of (a) PN and its composites and (b) ZnO, Fe2O3, and ZnFe2O4. Figure 7: Cyclic voltammograms of (a) PN, (b) PNZ, (c) PNF, and (d) PNFZ at different scan rates. Potentials are referred to SCE (KClsat. in H2O). Figure 8: Comparison of PN and its composites for (a) CV measurements at a scan rate of 5 mV s 1, (b) the calculated specific capacitances of PN, PNZ, PNF and PNZF for different scan rates, (c) the calculated capacitance retentions for 4,000 cycles at 30 mV s-1. Figure 9: GCD experiments at different current densities of (a) PN, (b) PNZ, (c) PNF, and (d) PNZF. (e) Comparison of the specific capacitances of PN and its composites at different current densities. Figure 10: EIS spectra of PN, PNZ, PNF, and PNFZ.
This study introduces an efficient potentiostatic method to enhance the energy storage performance of polyaniline (PN) by synthesizing PN@ZnO (PNZ), PN@Fe2O3 (PNF), and PN@ZnFe2O4 (PNZF) hybrid electrodes with defined porous morphology. The precise selection and control of the working potential during electro-polymerization and metal oxide integration using the linear sweep voltammetry was key for synthesizing the polymer hybrid electrodes reproducible and with defined composition and structure. The PNZF electrode demonstrated the highest specific capacitances of 816 F g-1 and 791.3 F g 1 at a scan rate of 5 mV s-1 and 1.0 A g-1 current density, along with high power density and energy density of 1058.4 W kg-1 and 136.4 Wh kg 1, and with excellent stability retaining 90 % over 4000 cycles. We could attribute the excellent performance to a low charge transfer resistance of 25.0 Ω, a predominantly surface-controlled charge storage mechanism, and a porous morphology with uniform distribution of ZnFe2O4 particles in the polymer network, all resulting from the electrochemical synthesis method. Our study provides valuable and new insights into the structural, optical, and electrochemical properties of PN composites, particularly PNZF.
Potentiostatic Synthesis of Polyaniline Zinc and Iron Oxide Composites for Energy Storage Applications
chemical composition analysis, electron microscopy, high spatial resolution, layer-by-layer growth, surface-anchored metal–organic frameworks, zeolitic imidazolate framework-8
Production Data for Publication: Direct Synthesis of ZIF‐8 on Transmission Electron Microscopy Grids Allows Structure Analysis and 3D Reconstruction
In this repository, data sets of the plots can be found. For more information about experimental details, please see the Experimental Section in the manuscript.
Impact of nickel on the surface reaction in ceria-based electrodes for solid oxide cells
Landscape-level prediction maps from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS). The prediction maps for the states of Germany will be constantly updated. Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.
Data package from: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
Rock Mechanics Details During Uniaxial Compression Testing Of Various Rocktypes
Martin-Luther-Universität Halle-Wittenberg, Institut für Geowissenschaften
Weggesteuerte einachsiale Druckversuche aus dem Jahren 2017/2018 an verschiedenen Gesteinstypen mit Geschwindigkeiten von 0.06 mm pro Minute
Einachsiale Druckversuche mit Slow Motion gefilmt
Crop residue management for cereals on a 0.5° global grid on an annual time-scale (1997- 2021). The dataset is based on a collection of existing data sources including livestock, numbers and diets, biomass burning, and residue production ratios. For each grid cell, we estimate the total production residue from cereal crops and determine 1) residues for livestock feed and bedding, 2) residues burned on the field 3) residues used for other off-field purposes and 4) residues left on the field.
Global crop residue management dataset (1997 - 2021)
The dataset contains Doppler lidar measurements for 10 days, each corresponding to an extratropical cyclone sampled during the WASTEX field campaign (see Pantillon et al. 2018). Three data are saved in three files per day, e.g. for 23/2/2017: - Save_KIT_DOPPLERLIDAR_RV_20170223.nc (RV = Radial Velocity → wind measurements) - Save_KIT_DOPPLERLIDAR_SNR_20170223.nc (SNR = Signal to Noise Ratio → data quality) - Save_KIT_DOPPLERLIDAR_BS_20170223.nc (BS = BackScatter → signal strength) Files are in netCDF format with the following structure, e.g. for RV: netcdf Save_KIT_DOPPLERLIDAR_RV_20170223 { dimensions: time = 444035 ; ranges = 110 ; variables: double time(time) ; time:standard_name = "time" ; time:units = "seconds since 1970-01-01 00:00:00 UTC" ; double ranges(time, ranges) ; ranges:unit = "m" ; ranges:long_name = "distance of range gate from lidar along the beam. value denotes the middle of the range gate." ; double elevation(time) ; elevation:long_name = "elevation angle of the laser beam: zenith=90, horizontal=0 and 180" ; elevation:unit = "degree" ; double azimuth(time) ; azimuth:standard_name = "sensor_azimuth_angle" ; azimuth:long_name = "azimuth angle of the laser beam: north=0, east=90, south=180, west=270" ; azimuth:unit = "degree" ; double radial_velocity(time, ranges) ; radial_velocity:standard_name = "radial_velocity_of_scatterers_away_from_instrument" ; radial_velocity:unit = "m s^-1" ; radial_velocity:_FillValue = -999. ; // global attributes: :Institution = "Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research" ; :Title = "Scanning doppler lidar WindTracer" ; } Wind measurements are stored in variable "radial_velocity" as function of coordinates "time" and distance from lidar "ranges". At the beginning of every hour, the mean wind direction is determined (about 1500 records) with varying azimuth (“horizontal angle”) from 0° to 360° and fixed elevation (“vertical angle”) at 15° and 75°. Then the radial wind speed is measured for one hour (about 15000 records) with constant azimuth in the mean wind direction determined above and varying elevation from 0° to 15°, up and downward every 0.6°. One up- or downscan contains about 25 records contained in one up or downscan, which can be combined into one snapshot (see example in Pantillon et al. 2018). Such a “snapshot” actually contains asynchronous records (a few seconds altogether) thus it is recommended to use upscans or downscans only. Each record can be additionally filtered according to its quality, e.g. with signal-to-noise ratio SNR > -6 dB.
Doppler lidar measurements from the Wind and Storms Experiment (WASTEX)
The data set comprises N2O (nitrous ocide) data of the Earth's upper troposphere and middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, N2O_61), RR-NOM (2005 - 2012, N2O_261), RR-UTLS-1 (2005 - 2007, N2O_161), RR-MA (2005 - 2012, N2O_561 & N2O_562), and RR-UA (2005-2012, N2O_662) are covered. Data versions N2O_161, N2O_261, and N2O_561 are compatible and could be used together. The same holds for data versions N2O_562 and N2O_662. The data is based on version V8 infrared spectra.
MIPAS Envisat upper troposphere middle atmosphere stratosphere mesosphere UTLS nitrous oxide N2O
IMK/IAA MIPAS retrievals version 8: N2O, the data set
The data set comprises CH4 (methane) data of the Earth's uppere troposphere and middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, CH4_61), RR-NOM (2005 - 2012, CH4_261), RR-UTLS-1 (2005 - 2007, CH4_161), RR-MA (2005 - 2012, CH4_561 & CH4_562), and RR-UA (2005-2012, CH4_662) are covered. Data versions CH4_161, CH4_261, and CH4_561 are compatible and could be used together. The same holds for data versions CH4_562 and CH4_662. The data is based on version V8 infrared spectra.
MIPAS Envisat upper troposphere middle atmosphere stratosphere mesosphere UTLS methane CH4
IMK/IAA MIPAS retrievals version 8: CH4, the data set
The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as derived from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atmosphere mode of MIPAS is provided. The data version is V8.
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. For previous version see relations.
MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature: the data [Corrected version]
Institut für Angewandte Materialien – Energiespeichersysteme (IAM-ESS), Karlsruher Institut für Technologie (KIT)
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
Investigation of Copper and Brass Nanoparticles for the CO2 Reduction in Organic Electrolytes
The following dataset contains: 1. Sampled Ni nanoparticles trajectories in extended xyz format, all compressed in tar.xz format. In the tar.xz files, the script used to extract the surface sites data is also available. 2. json files containing dictionaries of the number of surface sites of each particle trajectory. 3. Python script to plot the data.
The present dataset contains structural files as well as data regarding surface sites relative to the modelling of Ni nanoparticles in the context of the following pubblication: "The interplay of nanoparticle size and reaction temperature limits the ammonia decomposition kinetics on dual-site Ni catalysts" by Wang et al.
Ni nanoparticles modeling dataset for "The interplay of nanoparticle size and reaction temperature limits the ammonia decomposition kinetics on dual-site Ni catalysts"
Dataset for our paper, An LLM-Based Assistant for Cross-Functional Integration in Software Development
GUI Prototypes; User Stories; Requirements; Assistance
Dataset: An LLM-Based Assistant for Cross-Functional Integration in Software Development
Data: Strong-coupling superconductivity near Gross-Neveu quantum criticality in Dirac systems
Institut für Thermische Verfahrenstechnik (TVT), Karlsruher Institut für Technologie (KIT)
Temperature control of intercalation batteries such as lithium-ion (LIB) and sodium-ion (SIB) batteries serves to improve performance and increase safety and lifespan. The use of thermal management systems is essential for this, particularly when used in large battery cell systems such as battery-electric vehicles or large stationary energy storage systems. For the design of such systems, thermophysical properties—specifically thermal conductivity, density, and specific heat capacity—are key parameters. However, the properties of new cell systems, such as next-generation LIBs or SIBs, have been poorly studied or not researched at all. In simulation studies, the effective values for battery electrodes—as the smallest common unit across different cell formats—were determined based on the values of the pure materials. Additionally, variation studies were conducted to demonstrate the influence of the composition and pure material values of the active materials on the effective value.
The data consists of the input and calculated values from the scatter plots shown in [1]. The corresponding plots for the respective materials are presented in Supplementary Information S5. The provided dataset is available as MATLAB data, from the software used to perform the calculations. The dataset is also provided in h5 format. [1] R. Mühlpfort, L. Pfeifer, T. Wetzel, P. Seegert. Simulative determination of the composition-dependent effective thermophysical parameters of established and future battery electrodes. Future Batteries. 2026;10:20. doi:10.1016/j.fub.2026.100181
Die Temperierung von Interkalationsbatterien wie Lithium- (LIB) und Natrium-Ionen-Batterien (SIB) dient der Verbesserung der Performance sowie der Erhöhung der Sicherheit und Langlebigkeit. Besonders beim Einsatz in großen Zellverbundsystemen wie batterieelektrischen Fahrzeugen oder großen stationären Energiespeichern ist hierfür die Anwendung von Thermomanagementsystemen essenziell. Zur Auslegung solcher Systeme sind die thermophysikalischen Eigenschaften, im speziellen die Wärmeleitfähigkeit, Dichte und spezifishe Wärmekapazität, wichtige Größen. Die Eigenschaften für neue Zellsysteme wie next-Generation LIB oder SIB sind hierbei schlecht oder gar nicht erforscht. In simulativen Studien wurde ausgehend von den Reinstoffwerten die Effetivwerte für Batterieelektroden, als kleinste gemeinsame Einheit zwischen unterschiedlichen Zellformaten, bestimmt. Darüber hinaus wurden Variationsstudien durchgeführt um den Einfluss von Zusammensetzung und Reinstoffwert der Aktivmaterialien auf den Effektivwert aufzuzeigen.
Simulation-based determination of the thermophysical properties of lithium-ion and sodium-ion batteries as a function of composition and data on the pure materials
The csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
This study aims to identify whether model parameters describing atmospheric conditions such as wind shear or model parameters related to cloud microphysics such as the fall velocity of hail lead to larger uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of three sets of input parameters (environmental conditions, microphysics, combined) on cloud properties (vertically integrated content of six hydrometeor classes), precipitation, the size distribution of hail and diabatic heating rates. This dataset contains the processed model output and the generated emulators when the convection is triggered by a warm bubble.
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics
This dataset of scans was used in a publication that deals with the computational determination of fiber volume contents from µCT scans. Specimens from two carbon fiber reinforced polyamide 6 plaques are used that were produced in the long fiber reinforced thermoplastic direct (LFT-D) process. From the first plaque, three specimens each from both the charge and flow area of the plaque are included with dimensions of 10 mm $\times$ 10 mm $\times$ 3 mm, 20 mm $\times$ 20 mm $\times$ 3 mm and 30 mm $\times$ 30 mm $\times$ 3 mm, respectively. From the second plaque nine specimens were extracted in a regular 3 $\times$ 3 grid all with the dimensions 25 mm $\times$ 25 mm $\times$ 3 mm. Exact cutting plans can be taken from the publication. The specimens are cut out of the plaques through waterjet cutting. The material constituents, with which the final CF-PA6-LFT-D plaques were manufactured, are Zoltek PX35 commercial carbon fibers and a PA6 by the company DOMO. The scans of the first plaque were done with a Zeiss Metrotom 800 (cone-beam) μCT system at wbk Institute of Production Science at KIT with the flat panel detector PaxScan2520V with 1536 pixel $\times$ 1920 pixel. The samples of the second plaque were scanned in an YXLON-CT (Yxlon International CT GmbH, Hattingen, Germany) precision μCT system at Institute for Applied Materials (IAM-WK) at KIT with a μ-focus X-ray transmission tube with tungsten target and a PerkinElmer (Waltham, MA, USA) Y.XRD1620 flat-panel 2048 pixel $\times$ 2048 pixel detector. More details can be found in the corresponding publication.
The 15 scans are available as .raw- and .mhd-files, which can be read in Python with, e.g., the SimpleITK package, or in ImageJ (FIJI). The entirety of the scans are available twice: One set only has small brightness and contrast adjustments and cutting at the edges, but is otherwise in the original 16 bit data format. This set was used for the training of the convolutional neural network. The other set was cut more and is converted into 8 bit, which was used for the thresholding algorithm.
Computed tomography scans of 15 different carbon fiber reinforced polyamide 6 specimens (both original files (16 bit) and files of further cut scans (8 bit))
Raw data set to "The Creep-induced Micro- and Nanostructural Evolution of a Eutectic Mo-Si-Ti Alloy at 1200 °C". The data sets are labelled according to the figures in the manuscript. AC referes to the eutectic Mo-20Si-52.8Ti alloy in as-cast condtion HT refers to the eutectic Mo-20Si-52.8Ti alloy in annealed condtion (1600°C/150h) (Mo,Ti)ss refers to the Mo-40Ti alloy (Mo,Ti,Si)ss refers to the Mo-3Si-40Ti alloy
Raw Data to "The Creep-induced Micro- and Nanostructural Evolution of a Eutectic Mo-Si-Ti Alloy at 1200 °C"
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_125 located at Porspoder (48.50423°N, 4.77267°W, 29 m) during the NAWDIC field campaign from December 2025 to March 2026. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. From 2nd December 2025 to 24th December 2025, vertical stares were conducted, interrupted by a DBS scan in minute 29 and 59 every hour. For the wind profile calculation from 24th December 2025 onwards, RHI, PPI, DBS scans, and vertical stares are used. The scan pattern had a repeat time of ten minutes, containing four RHIs, three PPIs, two DBS scans, and 10 s of vertical stares, each. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The three PPI scans were carried out at 1°, 35.3°, and 60° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 (https://doi.org/10.5194/gmd-19-2497-2026). The half-hourly wind profiles until 24th December 2025 are calculated using the simple module chain of AtmoProKIT in a temporal resolution of 1 min and a vertical resolution of 100 m. Wind vectors are only retrieved in minutes 29 and 59. Due to the continuous vertical stare measurements, no wind vectors are retrieved in the other minutes. From 24th December 2025 onwards, the AtmoProKIT standard module chain and the associated default values are used for all processing parameters, which excludes measurements below an elevation angle of 15°. Due to continuous vertical stare measurements, no wind vectors are retrieved between minutes 30 and 40. The temporal resolution of the processed wind profiles from 24th December 2025 onwards is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Porspoder, NAWDIC, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_159 located at Guipavas (48.44437°N, 4.41118°W, 94 m) during the NAWDIC field campaign from December 2025 to March 2026. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, RHI, PPI, DBS scans, and vertical stares are used. The scan pattern had a repeat time of ten minutes, containing four RHIs, three PPIs, two DBS scans, and 10 s of vertical stares, each. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The three PPI scans were carried out at 1°, 35.3°, and 60° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, which excludes measurements below an elevation angle of 15°. Due to continuous vertical stare measurements, no wind vectors are retrieved between minutes 30 and 40. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Guipavas, NAWDIC, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Lockheed Martin WindTracer WTX located at Villingen-Schwenningen, Germany (48.05627°N, 8.48715°E, 765 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from June to September 2023. For the wind profile calculation, PPI and RHI scans are used. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The four PPI scans were carried out at 3°, 30°, 60°, and 90° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 2 wind profiles
A neural operator-based surrogate solver for free-form electromagnetic inverse design
Raw friction data as well XRd data from CuMn alloys. SEM and STEM images of these calloys after tribological loading
SEM, FIB, STEM images. XRD data. Raw Friction data
The presented video files demonstrate the behavior of combustion, its speed and acceleration, under various initial conditions: temperature, pressure, block ratio. The corresponding data (temperature, pressure, concentrations) in distribution and ignition modes are also presented.
In the frame of the PRESLHY project W.P. 5.3. a series of experiments was carried out. The phenomena of cryogenic hydrogen combustion in a layer geometry relevant to flame spread over the spill of LH2 and flame acceleration and deflagration-detonation-transition for cryogenic hydrogen-air clouds in an enclosure were studied. The objective of work was completing the experimental database on cryogenic LH2 combustion, including laminar steady state and turbulent combustion and detonation of LH2 and gaseous hydrogen in air at cryogenic temperatures.
cryogenic hydrogen combustion in a layer geometry
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: approx. 80K (cold)
Satellite-based Climate Monitoring, Deutscher Wetterdienst (DWD), Offenbach, Germany
Biodiversity and Landscape Unit, Université de Liège Gembloux Agro-Bio Tech, Gembloux, Belgium
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany
HydroSciences Montpellier, Univ. Montpellier, IRD, CNRS, Montpellier, France
CIRAD, UMR Eco&Sols, BP1386, CP18524, Dakar, Senegal
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Laboratoire d’Ecologie Appliquée, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, Cotonou, Bénin
Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
Géosciences Environnement Toulouse (GET), CNRS, IRD, UPS, Toulouse, France
International Livestock Research Institute (ILRI), Ouagadougou, Burkina Faso
Centre de Suivi Ecologique (CSE), Dakar, Senegal
West African Sahelian and Sudanian ecosystems are providing essential services to people and also play a significant role within the global carbon cycle. However, climate and land use are dynamically changing and it remains uncertain how these changes will affect the potential of these regions for providing food and fodder resources or the biosphere-atmosphere exchange of CO2. In this study, we investigate the capacity of a process-based biogeochemical model, LandscapeDNDC, to simulate net ecosystem exchange (NEE) and aboveground biomass of typical managed and natural Sahelian and Sudanian savanna ecosystems. We tested the model for various sites with different proportions of trees and grasses, as well as for the most typical arable cropping systems of the region. In order to describe the phenological development with a common parameterization across all ecosystem types, we introduced soil-water availability in addition to temperature as a driver as seasonal soil water-shortage is a common feature for all these systems. The new approach was tested by using a sample of sites (calibration sites) that provided NEE from flux tower observations and leaf area index data from satellite images (MODIS). For assessing the simulation accuracy, we applied the calibrated model to 42 additional sites (validation sites) across West Africa for which measured aboveground biomass data were available. The model showed a good performance regarding simulated biomass development. Overall, the comparison of simulated and observed biomass at sites with a dominating land cover of crops, grass or trees yielded correlation coefficients of 0.82, 0.94, and 0.77 and the Root Mean Square Error of 0.15, 0.22, and 0.12 kg m−2, respectively. In absolute terms, the model results indicate above-ground carbon stocks up to 1733, 3291, and 5377 kg C ha−1 yr−1 for agricultural, savanna grasslands, and savanna mixed tree-grassland sites. Carbon stocks as well as exchange rates correlated in particular with the abundance of trees. The simulations indicate higher grass biomass and crop yields under more humid climatic conditions as can be found in the Sudanian savanna region. Our study shows the capability of LandscapeDNDC to accurately simulate carbon balances in natural and agricultural ecosystems in semi-arid West Africa under a wide range of conditions, so that it might be used to assess the impact of land-use and climate change on the regional biomass productivity.
Gas exchange, biomass production, West Africa, LandscapeDNDC,
Modelling Gas Exchange and Biomass Production in West African Sahelian and Sudanian Ecological Zones
Findability and Accessibility through Continuous Integration With Less Effort for Research Software
A set of Python scripts for tasks around the archival and long term preservation of software repositories.
FACILE-RS: archival and long term preservation of research software repositories made easy
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_124 located at Titisee-Neustadt, Germany (47.9209°N, 8.1837°E, 833 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from May to September 2023. The instrument was placed on the ground. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Titisee-Neustadt, Swabian MOSES 2023, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_172 located at Albbruck, Germany (47.585792°N, 8.129954°E, 316 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from May to August 2023. The instrument was placed on the ground. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m. Due to an instrument failure, no measurements are available after the 24th August 2023.
KITcube Doppler lidar measurements from Albbruck, Swabian MOSES 2023, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_159 located at Weil am Rhein, Germany (47.5887°N, 7.6078°E, 252 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from May to September 2023. The instrument was placed on the ground. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Weil am Rhein, Swabian MOSES 2023, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_115 located at Schallstadt, Germany (47.9672°N, 7.7734°E, 228 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from May to September 2023. The instrument was placed on the ground. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Schallstadt, Swabian MOSES 2023, Level 2 wind profiles
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
The development of alternative processes for fabricating functional semiconductor nanomaterials and precisely controlling their properties is of significant scientific interest across various domains. A key driver is the energy transition, where the growing demand for semiconductors is challenged by the limited availability of rare-earth-based materials, which are essential for high-efficiency solar cells and sustainable electronics. Zinc oxide (ZnO), a well-established wide-bandgap semiconductor, can be transformed into a transparent conductive oxide (TCO) through aluminum doping. As a result, aluminum-doped ZnO (AZO) presents a cost-effective alternative to indium tin oxide (ITO) for transparent electrode applications. To investigate the properties of AZO nanoparticles during sol-gel synthesis, a multiscale characterization approach was developed. A combination of small-angle X-ray scattering (SAXS), dynamic light scattering (DLS), energy-dispersive X-ray spectroscopy (EDX), and image analysis, facilitated by transmission electron microscopy (TEM), scanning electron microscopy (SEM), and high-angle annular dark-field imaging (HAADF-STEM), along with gravimetric analysis and UV-Vis spectroscopy, provided comprehensive insights into AZO morphology and material properties. This included the hierarchical evolution of particle size, number and mass concentration, AZO composition, morphology, and bandgap. The complete experimental dataset is openly published to support further research and development in the field.
The attached raw data include TIF, Excel, and TXT files, which are widely compatible with most software and suitable for further processing.
hierarchical nanostructure characterization
Experimental data of aluminum-doped ZnO nanocrystal synthesis and characterization
Direct numerical simulation (DNSs) are used to systematically investigate applicability of minimal channel approach for characterization of roughness-induced drag in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of surface height function can be prescribed. 12 different combinations of PS and PDF are examined and both transitionally and fully rough regimes are investigated (roughness heights varies in the range $k^+$ = 25 -- 100). It is demonstrated that both roughness function ($\Delta U^+$) and zero-plane displacement can be predicted within $\pm5\%$ accuracy using DNS in properly sized minimal channels. Notably, the predictions do not deteriorate when a limited range of large horizontal roughness scales are filtered out due to the small channel size (here up to 10\% of original roughness height spectral energy based on 2D PS). Additionally, examining the results obtained from different random realizations of roughness shows that a certain combination of PDF and PS leads to a nearly unique $\Delta U^+$ for deterministically different surface topographies. In addition to the global flow properties, the distribution of time-averaged surface force exerted by the roughness onto the fluid is calculated and compared for different cases. It is shown that patterns of surface force distribution over irregular rough surfaces can be well captured when the sheltering effect is taken into account. This is made possible applying the sheltering model proposed by Yang et al. to each specific roughness topography. Furthermore, an analysis of the coherence function between roughness height and surface force distributions reveals that the coherence drops at larger streamwise wavelengths, which can be an indication that very large horizontal scales are less dominant in contributing to the skin friction drag. Finally, some existing roughness correlations are assessed using the present roughness dataset, and it is shown that the correlation predictions for the values of equivalent sand-grain roughness mainly lie within $\pm30\%$ error in comparison to the DNS results.
These files contain the data used in the publication: “DNS-based characterization of pseudo-random roughness in minimal channels” J. Yang, A. Stroh, D. Chung and P. Forooghi published in Journal of Fluid Mechanics doi:10.1017/jfm.2022.331 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)
Dataset for DNS-based characterization of pseudo-random roughness in minimal channels
Direct numerical simulation (DNS) is used to systematically investigate the applicability of minimal channel approach for the characterization of double-averaged velocity and temperature profiles in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of the surface height function can be prescribed. 12 different combinations of PS and PDF are examined at $Re_\tau$=500.
These files contain the data used in the publication: “Study of irregular roughness in minimal channels” J. Yang, A. Stroh, S. Jakirlic, B. Frohnapfel and P. Forooghi published in proceeding ETMM13 doi: 10.5445/IR/1000140429 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip and zero-temperature boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG), a heat source term is added to the flow. The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. The naming convention of the data in this database follows the JFM publication "DNS-based characterization of pseudo-random roughness in minimal channels" DOI: 10.1017/jfm.2022.33. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)
Dataset for Study of irregular roughness in minimal channels
Assessing the optical configuration of a structured light scanner in metrological use (data)
A set of Python scripts for tasks around the archival and long-term preservation of software repositories.
FACILE-RS: archival and long-term preservation of research software repositories made easy
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_125 located at Fischerbach, Germany (48.2824°N, 8.10526°E, 219 m) during the Swabian MOSES 2023 field campaign (https://doi.org/10.3389/feart.2025.1555755) from May to September 2023. The instrument was placed close to the ground. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Fischerbach, Swabian MOSES 2023, Level 2 wind profiles
PRESLHY Experiment series 5.3; block ratio: 30%; initial temperature: approx. 80K (cold)
The objectives of this work are to complete the experimental database on cryogenic LH2 combustion, including laminar steady state and turbulent combustion and detonation of LH2 and gaseous hydrogen in air at ambient and cryogenic temperatures. The major characteristics to be investigated was the pressure, temperature, heat flux, and dynamics of the processes. Effects of scale and turbulence also was considered as parameters of the processes. Similar to LH2 distribution the combustion analysis included confinement geometry and obstructions.
The presented data and video files were obtained during experiments within the WP5.1., characterizing the LH2 jet fire behavior, including scaling and radiation properties ( variations on heat flux and dosis, temperature, max pressure and rise rate) at various initial properties (initial pressure, nozzle diameter, ignition location, ignition delay times)
Polyoxometalates as Nano-electrocatalyst in Redox-based Memristor
This work was funded by the Topic Engineering Secure Systems of the Helmholtz Association (HGF) (POF IV, LK 01, 46.23.02) and supported by KASTEL Security Research Labs, Karlsruhe.
During GNSS attacks on a time server in an electrical substation, the time service is affected and, accordingly, time-critical protection functions can misoperate. In our threat model, these trips are maliciously triggered via time synchronization attacks (using the so-called two-clock GNSS attack). These data show how IEC 61850 Sampled Values, IEEE 1588 Precision Time Protocol, and GOOSE traffic behave under these attacks, with GOOSE messages proving the misoperation of the differential protection IED. This is the complementary dataset for the paper: "Malicious GNSS Spoofing Causing False Trips in IEC 61850 Multivendor Substations" by Fruböse et al. (2026).
IEC 61850 traffic at ANSI 87T differential protection attacks
On iterative pre-compensation of 3D laser-printed micro-optical components using confocal-optical microscopy - Data
This Supplemental Dataset contains the raw data and analysis scripts (Python/Mathematica) used in the above mentioned publication
Original Source Data to "Bosonic excitation spectra of superconducting Bi2Sr2CaCu2O8+\delta and YBa2Cu3O6+x extracted from scanning tunneling spectra"
PRESLHY Experiment series 5.3; block ratio: 30%; initial temperature: ambient (warm)
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)
Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
A custom-built laser-induced forward transfer (LIFT) setup was developed to fabricate multimaterial organic light emitting diode (OLED) stacks under ambient laboratory conditions without the use of a cleanroom or encapsulation. The process enables precise control of layer thickness through parameter tuning as confirmed by vertical scanning interferometry (VSI), yielding smooth and ho- mogeneous layers with surface roughness values down to 2.78 nm and tunable thicknesses between 19 nm and 45 nm. A three-layer OLED stack (total thickness ≈ 90 nm) was printed and structurally characterized using focused ion beam scanning electron mi- croscopy (FIB-SEM) and time-of-flight secondary ion mass spectrometry (ToF-SIMS), revealing distinct, well-defined layer bound- aries. First functional tests demonstrated electroluminescence at 580 nm with an operational lifetime of at least 20 min. Despite the lack of encapsulation, the OLEDs remained stable under ambient conditions with a shelf life of up to 9 days. These results confirm the potential of LIFT as a scalable and precise tool for the additive manufacturing of flexible thin-film devices such as OLEDs, solar cells and fuel cells
.OPDX topographic data can be opened with Vision64 by Bruker .OPJU can be opened with Origin All other are image data or raw measurement data like .csv/.txt/...
Overlapping Nanostacks Enable Direct Printing of Freeform Organic LEDs
Model results from ExoTIC for chemical species of HOCl, ClONO2, ozone and NOy for MIPAS inter-comparison are stored. Model results with MIPAS averaging kernels applied are also stored here along with zonal averaged MIPAS data. The simulations are carried out for the Halloween SPE of 2003 using ionisation rates from AISstorm for the MIPAS comparison. Model data for the comparison of Halloween SPE 2003 and an extreme solar event of 775 A.D. are stored as well. More information about the naming conventions is given in Description of datasets.pdf.
ExoTIC model results for model-measurement inter-comparison with MIPAS; ExoTIC model results for comparison of Halloween SPE and extreme event of 775 A.D.
Monolithically printed all-organic flexible photosensor active matrix
Tetramode metamaterials as phonon polarizers
Txt files of raw measurement data for all figures. Title clearly linking it to the corresponding figure.
Research Data of the Publication *Distribution of relaxation times-based impedance analysis of incremental PEM water electrolysis cells*
Observation of Floppy Flexural Modes in a 3D Polarized Maxwell Beam
A T-matrix Based Approach to Homogenize Artificial Materials
This Supplemental Data Packet contains the raw data, simulation code and analysis scripts used in the above mentioned publication
Supplemental Data to "Band resolved Caroli-de Gennes-Matricon states of multiple-flux-quanta vortices in a multi-band superconductor"
In the frame of the PRESLHY project more than 100 experiments on hydrogen – air flame propagation regimes in a shock tube at cryogenic temperatures were made with the combustion tube at the KIT HYKA test site. More than half of the experiments were made at cryogenic temperatures (between approx. 90 K and 130 K). The rest experiments were conducted at ambient conditions as the reference data. It was however possible to provide experimental data at various H2 concentrations from 8 to 60 Vol. %H2 and 3 blockage ratios (BR = 0, 0.3 and 0.6). During the course of the experiments, many experimental difficulties and peculiarities specific for cryogenic temperatures were encountered. Critical conditions for flame acceleration to the speed of sound and to the detonation onset at cryo-temperatures were experimentally found. It was also found that the danger of hydrogen combustion and explosion in terms of maximum combustion pressure is much higher than at ambient temperatures because of several times higher density of the combusted substance. Then, even for sonic deflagration at cryogenic temperatures, the maximum pressure might be higher than the detonation pressure at ambient conditions. The data obtained in current work can be used for safety distance assessment for LH2 safety applications.
7zip-files: The naming convention of the corresponding 7zip-files largely follows the one provided in the Data Management Plan at ambient temperature 293K reads as follows: PT0-25.7z with PT indicating the PRESHY tube, the index 0 means a smooth tube with blockage ratio BR = 0%, then the test number 25 corresponds to certain hydrogen concentration of 15%H2. For cryogenic temperatures, it reads as follows: PT30C-25.7z with the meaning the PRESLHY tube experiment number 25 in an obstructed tube with blockage ratio BR = 30% at cryogenic temperature (prefix C). The experimental conditions should be addressed to the test number 25 with hydrogen concentration 15.2%H2 Each data file consist of original recording “.TPC”-file converted to a CSV format file with extension “.ASC”. The structure of these files is simple. They are columnar comma separated CSV tables. The first line contains the time and names of the channel: Time, TRG, P01, P02, P03, P04, P05, P06, P07, P08, P09, P10, P11, P12, P13, F01, F02, F03, F04, F05, F07, F08, F09, F10, F11, F12, F13, F14, F15 “TRG” is the trigger signal; “P” is the pressure sensor; “F” is the light sensor (InGaAs). The second line contains the unit for each sensor: s, V, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, bar, V, V, V, V, V, V, V, V, V, V, V, V, V, V The third line shows the start time of each channel. Because of the simultaneous data acquisition, the start times are identical for all channels and can be omitted. The “Time” column gives the time relative to the trigger event. The trigger event is recorded in the “TRG” column. In fact, it should be synchronized with a spark plug but actually, it can be a delay between the trigger signal and spark actuation. Even, it might be no ignition phenomena. Next lines give the signal value for each sensor versus time (in first column). WMF: The original results are also presented in graphic form as so called distance time diagrams. The diagram for each test reads as follows: PT0-24-long-RT.wmf With the same meaning as for the raw data file with an additional index long or short according to captured registration time and prefix RT means distance (radius) time diagram. WMF means the Windows Meta File format. This number corresponds to the test PT0-24 for smooth tube with blockage BR = 0% at ambient temperature wth hydrogen concentration 15.2%. The distance-time diagram shows pressure - and photodiode signals - time histories (horizontal axis, t in seconds) placed vertically in accordance with the real position in a tube (vertical axis, X in m). The pink line goes through the points corresponding to the flame arrival time based on photodiode signals (blue lines). The slope dX/dt of the flame trajectory in X-t coordinates is the flame velocity Uf.
Flame propagation regimes at cryogenic temperature
X-ray powder diffraction (XRD): Data was processed using WinXPow to transform the obtained .raw data into .xy data avoiding negative intensities. Data was plotted using OriginLab. 57Fe Mössbauer spectroscopy: The spectra were fitted with WinNormos and plotted using OriginLab. X-ray absorption spectroscopy (XAS): All XAS spectra were analyzed and processed utilizing the ATHENA software package. The X-ray absorption near edge spectra (XANES) regions of the XAS spectra were acquired by subtracting the pre-edge background from the overall absorption and normalizing to the spline fit using the ATHENA software package.
Revealing the mechanism of reductive, mechanochemical Li recycling from LiFePO4
The data set contains (1) model data, (2) the corresponding model grid, and (3) the result of a statistical analysis. The model data consist of mean values of an ensemble of 80 members in total. Of these, 40 simulations belong to the reference experiment and 40 simulations belong to the snow-darkening experiment. Variables with the addition "diff" show the mean difference between the simulations of the two experiments. The statistical data is the result of the Wilcoxon signed-rank test at t176.
ICON-ART Data: Mineral Dust on Snow in Eurasia During a Severe Deposition Event in March 2018 (ensemble mean values and statistics)
Solvent-independent 3D printing of organogels
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. To optimize deployment requirements (power, permits, etc.) as well as to reduce demand for additional KITcube flux towers, all instruments were deployed as close as possible to three pre-existing i-Box flux towers (CS-VF0, CS-SF1, CS-NF27). ### **2. Temporal coverage** 01.08.2019 - 13.10.2019 ### **3. Instrument details and data file structure** Available here are archived directories, corresponding to a particular device (WLS200s-115, WLS200s-124, WLS200s-125), including the coplanar-retrieved (i.e. dual-Doppler) output and additional four text files. ***WLS200s_xyz_YYYY-MM-DD.zip*** daily .zip files contain raw measurements collected with three WLS200s Windcube Doppler lidars, IDs xyz=115, 124, 125 (Leosphere). All three Windcubes used Windforge v3.1.1 for data acquisition. The raw measurements are organized into daily .zip files, each containing folder 'wind_and_aerosol_data' with separate .nc.gz files for each 1-min direct and indirect RHI scans in hourly folders, along with other support data in folders 'environmental data', 'scan type', 'resolutions', and 'settings'. ***WLS200s_coplanar_retrieval_YYYYMMDD.zip*** daily .zip files contain the coplanar-retrieved wind field organized into hourly NetCDF files. The retrieval algorithm by Haid (2019) was used to obtain the wind field. ***WLS200s_miscellaneous.zip*** file contains text files of the type 'WLS200s-xyz_scans_with_faulty_acquisition.txt'. These files contain time stamps (in UTC) of RHI scans affected by an occasionally faulty acquisition, resulting in two adjacent time stamps having recorded a same elevation angle. This typically affected pcolor/contour plotting routines. The issue was most common with WLS200s-125. On the other hand, the text file 'ceilometer_precipitation_flag.txt' contains the time stamps (in UTC) marked as experiencing either precipitation or sufficiently deep cloud cover. Specifically, if a given 1-min vertical profile of uncalibrated CHM15k backscatter up to 4 km above ground level, was characterized by more than 20% of backscatter coefficients exceeding 55 dB, it was deemed as ”precipitating”. Valid only for Kolsass. ### **4. Locations** With the exception of the WLS200s-115 (@ Hochhaeuser) and WLS200s-125 (@ Mairbach) Windcube Doppler lidars, all other KITcube instruments were deployed at Kolsass, the headquarter site for the field campaign. All sondes were also launched and tracked from Kolsass. Kolsass - 47.305290°N / 11.622231°E Hochhaeuser - 47.286182°N / 11.631232°E Mairbach - 47.326664°N / 11.608736°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Haid, M., 2019: marenha/doppler_wind_lidar_toolbox: First release (v1.0.0). Zenodo, doi:10.5281/zenodo.3583083
The data sets found here were collected with the KITcube measurement platform in the Inn Valley, Austria, from 1 Aug 2019 to 13 Oct 2019, within the CROSSINN field campaign (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements). The goal of the campaign was to study the multi-scale three-dimensional flow structure and the impact of the flow on the mountain atmospheric boundary layer (MoBL) structure and evolution across the Inn Valley. Further details of the campaign can be found in Adler et al (2020). Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
Die hier zu findenden Datensätze wurden mit der KITcube-Messplattform im Inntal, Österreich, vom 1.8.2019 bis 13.10.2019, im Rahmen der CROSSINN-Feldkampagne (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) erhoben. Das Ziel der Kampagne war es, die multiskalige dreidimensionale Strömungsstruktur und den Einfluss der Strömung auf die Struktur und Entwicklung der atmosphärischen Grenzschicht (MoBL) über dem Inntal zu untersuchen. Weitere Details der Kampagne sind in Adler et al. (2020) zu finden. Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
infrared radiometer brightness temperature
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - KITcube data sets [WLS200s]
Dissertation_Kempter,Xenia_Gelatine-basierte Hydrogele fuer den 3D Biodruck von Gewebemodellen
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)
Reduction of climate model total ozone columns to monthly and zonal means for use in time series and ozone recovery studies.
O3as service: https://o3as.data.kit.edu/
CCMI-1 ozone data for O3as service (v1: zonal means and monthly means of total columns)
Institut für Photogrammetrie und Fernerkundung, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung
Institut für Photogrammetrie und Fernerkundung
Deutsches Zentrum für Luft- und Raumfahrt
# Pol-InSAR-Island dataset: This folder contains multi-frequency Pol-InSAR data acquired by the F-SAR system of the German Aerospace Center (DLR) over Baltrum and corresponding land cover labels. Data structure: - data - FP1 # Flight path 1 - L # Frequency band - T6 # Pol-InSAR data - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label - FP1 - label_train.bin - ... - FP2 - ... Data format: The data is provided as flat-binary raster files (.bin) with an accompanying ASCII header file (*.hdr) in ENVI-format. For Pol-InSAR data the real and imaginary components of the diagonal elments and upper triangle elements of the 6 x 6 coherency matrix are stored in seperated files (T11.bin, T12_real.bin, T12_imag.bin,...) Land cover labels contained in label_train.bin and label_test.bin are encoded as integers using the following mapping: 0 - Unassigned 1 - Tidal flat 2 - Water 3 - Coastal shrub 4 - Dense, high vegetation 5 - White dune 6 - Peat bog 7 - Grey dune 8 - Couch grass 9 - Upper saltmarsh 10 - Lower saltmarsh 11 - Sand 12 - Settlement
The strong scientific interest and the accompanying rapid development of machine learning, in particular deep learning, has led to a significant improvement in automatic image interpretation in recent years. Research generally focuses on classification or segmentation of optical images, but there are already several successful approaches that apply deep learning techniques to the analysis of PolSAR or Pol-InSAR images. While the success of learning-based methods for the analysis of optical images has been strongly driven by public benchmark datasets such as ImageNet and Cityscapes, which contain a large number of annotated training and test data, comparable datasets for the PolSAR and especially the Pol-InSAR domain are almost non-existent. This conclusion and the demand for large and representative expert-annotated benchmark datasets for the SAR community is also reached by Zhu et al. (2021) in their analysis of the current state of deep learning-based SAR image analysis. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. This dataset is intended to improve the development of new approaches or the adaptation and improvement of existing ones. Furthermore, a defined division of the data into training and testing sections will ensure the comparability of approaches of different works. For the segmentation of PolSAR images, there already exist a few annotated datasets that are frequently referenced in the respective literature. These include the PolSF dataset, which contains PolSAR images from various spaceborne and airborne systems over San Francisco, the E-SAR dataset from Oberpfaffenhofen, and the Flevoland dataset, which contains an AIRSAR image depicting agricultural areas. The described datasets have several limitations that make them inadequate for evaluating learning-based image segmentation approaches. One weakness is the small amount of data, which is usually insufficient for training deep networks. Another problem is the lack of complexity of the segmentation task due to generic classes that are too easily distinguishable or spatial distributions of classes that are too simplistic, regular, and resembling each other. As a result, very high classification performances can already be achieved by simple classifiers, so that a comparison of more sophisticated classifiers, which are necessary for more challenging real-world tasks, is not possible. Another disadvantage of existing datasets is that the division into training and test areas is not fixed, which prevents the comparability of research that uses these datasets for evaluation. Our annotated, multi-frequency Pol-InSAR dataset named $\textbf{Pol-InSAR-Island}$ provides information-rich data as well as a challenging segmentation task consisting of 12 land cover classes. The Pol-InSAR data of the dataset were acquired in April 2022, on behalf of the Lower Saxony Water Management, Coastal Defence and Nature Conservation Agency (NLWKN), with the airborne F-SAR system (Reigber, 2020) of the German Aerospace Center (DLR) during a measurement campaign over the German Wadden Sea. The basics necessary for this measurement campaign in terms of data acquisition and processing were developed within the GeoWAM project (Pinheiro, 2020; Schmitz, 2022). The data acquisition was performed simultaneously in S- and L-band. Interferometric analysis is enabled by imaging the area two times with a time offset of 12 minutes and a vertical baseline of 12m. The Pol-InSAR-Island dataset does not include all flight data of the measurement campaign, but only data sections that cover the island Baltrum. Based on co-registered interferometric image pairs the coherency matrix $\mathbf{T}_6$ is calculated for each pixel, which is obtained from the scalar products of the Pauli scattering vectors $\mathrm{k}_1$ and $\mathrm{k}_2$: $\mathbf{T}_6 = \begin{bmatrix} \mathrm{k}_1 \\ \mathrm{k}_2 \end{bmatrix} \begin{bmatrix} \mathrm{k}_1^{*T} & \mathrm{k}_2^{*T} \end{bmatrix} = \begin{bmatrix} \mathbf{T}_{11} & \mathbf{\Omega}_{12}\\ \mathbf{\Omega}_{21} & \mathbf{T}_{22} \end{bmatrix}.$ Subsequently, this representation is projected from the slant-range to the ground-range geometry. The ground resolution of the geocoded products has a resolution of 1m x 1m. The island of Baltrum is home to many different biotopes and vegetation species and is surrounded by the North Sea and tidal flats. The diverse land cover results in the target classes of the demanding Pol-InSAR-Island dataset. For a precise annotation of the data, an existing biotope type map, published by the the Lower Saxon Wadden Sea National Park Authority via Marine.Daten.Infrastruktur.Niedersachsen (MDI-NI), is used, which is a result of the Trilateral Monitoring and Assessment Program processing from 2013. In this map the island Baltrum is classified into 40 different biotope types. Since the biotope map was generated several years prior to the SAR measurement campaign, significant changes in the extent of the different biotope types are to be expected, making the map not sufficient for accurate annotation. Therefore, the map is revised within a semi-automatic process. Automatically, transition areas between different biotope types are removed and strongly similar biotope types are grouped into one class each. The decision about the grouping of biotope types is based on the semantic context and an analysis of the class separability based on polarimetric features. The analysis of class separability is performed visually based on a projection of the polarimetric features into a two-dimensional feature space using the UMAP algorithm. Manual improvements to the resulting annotation are made by visually interpreting the SAR images and simultaneously acquired optical images. The Pol-InSAR-Island dataset is split into two spatially disjoint subsets, using a chessboard grid that alternately defines training and test patches. Such a split pattern was chosen to ensure that all 12 classes are represented in both subsets and additionally mapped at different incidence angles. Overall, this results in a labeled multi-frequency Pol-InSAR dataset that provides a challenging segmentation task. The public availability of the dataset can make a crucial contribution to the further development and comparability of learning-based segmentation methods for Pol-InSAR images in the future. References Pinheiro, M., Amao-Oliva, J., Scheiber, R., Jäger, M., Horn, R., Keller, M., Fischer, J. & Reigber, A. (2020). Dual-Frequency Airborne SAR for Large Scale Mapping of Tidal Flats. Remote Sensing, 12(11), 1827. Reigber, A., Jäger, M., Fischer, J., Horn, R., Scheiber, R., Prats, P., & Nottensteiner, A. (2011). System Status and Calibration of the F-SAR Airborne SAR Instrument. 2011 IEEE International Geoscience and Remote Sensing Symposium, 1520-1523. Schmitz, S., Hammer, H., & Thiele, A. (2022). Multi-Frequency PolInSAR Data Are Advantageous for Land Cover Classification – A Visual and Quantitative Analysis. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, V-1-2022, 49–56. Zhu, X. X., Montazeri, S., Ali, M., Hua, Y., Wang, Y., Mou, L., Shi, Y., Xu, F. & Bamler, R. (2021). Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives. IEEE Geoscience and Remote Sensing Magazine, 9(4), 143-172.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification
Institut für Funktionelle Grenzflächen - Chemische Biologie (IFG-CB), Karlsruher Institut für Technologie (IFG)
Federal Ministry of Education and Research
3D bioprinting, bioinks, hydrogels, cell encapsulation, gelatin, thiol-ene chemistry, tissue engineering
Tuning Superfast Curing Thiol-Norbornene-Functionalized Gelatin Hydrogels for 3D Bioprinting
Original BUFR files of the radiosonde measurements from Villingen Schwenningen during the Swabian MOSES 2023 field campaign. The radiosondes were released at 48.056°N, 8.487°E.
Radiosonde measurements from Villingen-Schwenningen, Swabian MOSES 2023, Level 0 BUFR files
Detection of Airborne Pathogenic Wheat Rust Spores Using Machine-Learning-Assisted Optical Imaging
Raw data files on which the ASKIVIT V1 dataset is based. The dataset includes 56 x 4 images captured by four different sensors: a high-resolution VIS/RGB camera, a hyperspectral NIR camera, a thermographic camera, and a THz scanner. Python loading functions are provided. The registered, annotated, and ready-to-use dataset is also available. For access, refer to the associated identifier link at the top of the page.
Multi-sensor, multispectral, multimodal, hyperspectral, image data
During GNSS attacks on a time server in an electrical substation, the time service is affected. These data show how IEC 61850 Sampled Values and IEEE 1588 Precision Time Protocol traffic behaves under these attacks. This is the second data packet of complementary data for the paper: "Compromising Synchrophasor Data by Attacking Time Synchronization: A Hardware-Lab Study" by Fruböse, C. et al. (2026). It comprises the jamming attacks. The data packet of GNSS spoofing attacks can be found at: (DOI) 10.35097/8k5cjmx5mqrq61qk. The pcap data has been recorded in the KASTEL Security Lab Energy at Karlsruhe Institute of Technology, Karlsruhe (Germany).
IEC61850 SV and PTP traffic under GNSS jamming
Karlsruhe Institute of Technology, Campus Alpin, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Increasing frequencies of droughts require proactive preparedness, particularly in semi-arid regions. As forecasting of such hydrometeorological extremes several months ahead allows for necessary climate proofing, we assess the potential economic value of the seasonal forecasting system SEAS5 for decision making in water management. For seven drought-prone regions analyzed in America, Africa, and Asia, the relative frequency of drought months significantly increased from 10 to 30% between 1981 and 2018. We demonstrate that seasonal forecast-based action for droughts achieves potential economic savings up to 70% of those from optimal early action. For very warm months and droughts, savings of at least 20% occur even for forecast horizons of several months. Our in-depth analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of 16 Mio US$ in one example year for early-action based drought reservoir operation. These findings stress the advantage and necessity of considering seasonal forecasts in hydrological decision making.
The dataset contains the time series (ensemble forecasts, reanalysis data) and shape files which have been used for computing the different indicators in the article "Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions".
Seasonal forecasts, drought, climate trends, reanalysis, ERA5, SEAS5
These synthetic benchmark instances can be used to evaluate algorithmic approaches to the Solar Farm Cable Layout Problem. For more details, refer to the Readme file.
Benchmark Instances for the Solar Farm Cable Layout Problem
During GNSS attacks on a time server in an electrical substation, the time service is affected. These data show how IEC 61850 Sampled Values and IEEE 1588 Precision Time Protocol traffic behaves under these attacks. This is the complementary data for the paper: "Compromising Synchrophasor Data by Attacking Time Synchronization: A Hardware-Lab Study" by Fruböse, C. et al. (2026). This data packet comprises the GNSS spoofing attacks. The jamming attacks can be found at: (DOI) 10.35097/2en2xs4njx2ecbru. The pcap data has been recorded in the KASTEL Security Lab Energy at Karlsruhe Institute of Technology, Karlsruhe (Germany).
IEC61850 SV and PTP traffic under GNSS time synchronization attacks
Centre for Materials Science, Queensland University of Technology
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
Microparticles, ortho-methyl benzaldehydes, methylisophthalaldehydes, polydiimides, light induced polymerization
Microspheres from Light – A Sustainable Materials Platform
Institut für Nanotechnologie, Karlsruhe Nano Micro Facility
Original raw data and analysis of 2D and 3D reconstruction based on phantoms. Detailed descriptions of the file types and the data are stored in a separate description.txt file.
Electron tomography (ET) has attracted significant attention for a quantitative analysis of mesoporous materials, especially for complex disordered pore structures, as no priori assumptions on the pore shape is needed, which is normally inevitable when using traditional bulk characterization techniques. However, a reliable quantification of such pore structure from ET highly depends on the fidelity of segmented reconstruction, which can be significantly affected, e.g. by the raw data quality, the limited tilting range, artifacts introduced during alignment and further depends the reconstruction algorithm. Therefore, we systematically investigate the reconstruction reliability of three main-stream algorithms including simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM) and discrete algebraic reconstruction technique (DART) for mesoporous materials using different imperfect (realistic) tilt-series based on a set of phantom simulations. We found that DART outperforms the other two methods in reliably revealing small pores and narrow channels, especially when the number of projections is strongly constrained. The accurate segmented reconstruction from DART makes it possible to achieve reliable quantification of pores structure, which in turn leads to reliable evaluation of effective diffusion coefficients. We discuss the influence of different acquisition and reconstruction parameters on the reconstructed 3D volume and the quantitative analysis of pore features. We aim to provide a practical guideline for optimizing acquisition and reconstruction parameters and how to evaluate the accuracy when describing the mesoporous structure.
Quantitative Analysis of Mesoporous Structures by Electron Tomography: A Phantom Study
# Secure logging from fault-tolerant aggregate signatures ## Information This is a simple implementation of the logging system described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, [also available from the IACR E-Print-Server](https://eprint.iacr.org/2017/949)). ## Disclaimer This is an academic implementation used for benchmarking in the paper. Since this is the only purpose, this impelmentation is not well tested and reviewed for security and therefore should be used with caution. ## Used libraries - Boost unit test framework - [libpbc](https://crypto.stanford.edu/pbc/) with [pbcwrapper](https://crysp.uwaterloo.ca/software/PBCWrapper/) - [NTL](http://www.shoup.net/ntl/) ## Build instructions Make sure that boost, libpbc and NTL are installed. (The versions of libpbc and NTL used for the benchmarks reported in the paper can be found in the lib folder.) Then run: ``` mkdir build cd build cmake .. make ``` pbcwrapper will be built automatically during this process.
Implementation of Robust/Fault-Tolerant Secure Logging Scheme described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, DOI: 10.1007/978-3-319-68637-0_6)
This archive contains data presented in the manuscript “From Sea to Sky: Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model” published in Weather and Climate Dynamics (Svenja Christ, Marta Wenta, Christian M Grams, and Annika Oertel, 2024, DOI: ). For this sensitivity study five simulations with the ICON model were conducted and analysed, whereby each experiment uses different prescribed sea surface temperature (SST) conditions. This data set contains (i) the initial SST fields of each experiment, and (ii) the warm conveyor belt (WCB) trajectory data from the ICON simulations of each experiment. For details on the SST initial fields, ICON simulations, and trajectory data, please refer to the original publication.
The data are in netCDF format and contain the following: (i) Global sea surface temperatures (SST, in K) for each experiment. The unperturbed SST originates from the OSTIA analysis and is used in the ECMWF IFS analysis on the 18. February 2019 at 00 UTC. The SST fields are remapped to the global unstructured ICON grid R03B07 (EXP000 – CNTRL). The five experiments include the following modifications to the original SST field: EXP000 – CNTRL: Original SST fields, remapped to ICON grid. EXP001 – IDEA: In this experiment, the SST field is smoothed with a Gaussian filter in the Gulf Stream region (80 to 25°W and 30 to 55°N). Thereby the SST front’s small-scale eddies are removed. EXP002 – WEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is reduced. EXP003 – P1.5K: The SST in the Gulf Stream region (80 to 25°W and 30 to 55°N) is increased by 1.5 K, while the SST gradient from IDEA in the Gulf Stream region is maintained. EXP004 – extWEAK: The SST gradient in the Gulf Stream region (80 to 25°W and 30 to 55°N) is strongly weakened, and the SST transitions gradually and cools progressively from the equator towards the higher latitudes. More detailed modifications of SST are described in detail in the publication and figures of the resulting SST and SST gradient fields are provided in the publication as well (Fig. 1). EXP000 – CNTRL (ifs_remap_R03B07_G_2019021800_EXP000.nc) EXP001 – IDEA (ifs_remap_R03B07_G_2019021800_EXP001.nc) EXP002 – WEAK (ifs_remap_R03B07_G_2019021800_EXP002.nc) EXP003 – P1.5K (ifs_remap_R03B07_G_2019021800_EXP003.nc) EXP004 – extWEAK (ifs_remap_R03B07_G_2019021800_EXP004.nc). (ii) warm conveyor belt (WCB) trajectory data of the five CON simulations are contained in the following data sets: EXPID_YYYYMMDD_HH.nc. WCB trajectories are started from a 50 km equidistant horizontal grid spanning the North Atlantic region between 80 to 25°W and 30 to 55°N. They are initiated from 10 chosen vertical levels within the lower-most 2 km, specifically at altitudes of 50, 200, 400, 600, 800, 1000, 1250, 1500, 1750, and 2000 m. The date in the file names (YYYYMMDD_HH) refers to the trajectory start time. WCBs are defined as trajectories with at least 500 hPa ascent in 48 h. WCB air parcel positions and characteristics are provided every 3-h. Variables traced along WCB trajectories are: time (in hours, relative to trajectory start), lon and lat (in °): air parcel longitude and latitude positions, z: air parcel altitude (in meter above sea level), P: pressure (in hPa), t_seasfc: SST (in K; this presents a 2D field traced along the lon/lat positions of WCB air parcels), lhfl_s: latent head flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), shfl_s: sensible heat flux (in W m-2; 2D field; negative fluxes are defined as upward fluxes), pres_msl: mean sea level pressure (in Pa; 2D field), pv: Potential vorticity (in pvu), temp: temperature (in K), qc: specific cloud water content (in g kg-1), qi: specific cloud ice content (in g kg-1), qr: rain mixing ratio (in g kg-1), qs: snow mixing ratio (in g kg-1), qv_1: specific humidity (in g kg-1).
Research data for "Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model"
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Machine and Deep Learning". The original dataset, which our version of the dataset is based on, can be found here: https://zenodo.org/record/4453599
Dataset for the Segmentation of Industrial Burner Flames
Boundary Element Method, Maxwell Equations
Software zur MSC-Thesis On a Novel Boundary Integral Equation Formulation for Electromagnetic Scattering Problems
Data for A Multi-Scale Approach to Simulate the Nonlinear Optical Response of Molecular Nanomaterials
All figures were created based on the data attached here. The folder is organized in the subfolders DS (diffuse scattering, CrysAlis suggested for analysis), transport (.txt or .dat format), specific heat (raw data from PPMS and extracted data in .txt format), XRD (x-ray diffraction, origin file) and phase diagram (all transition temperatures, origin file).
Impact of Ca Substitution on Competing Orders in Superconducting BaNi2As2
Observation of Chirality-Induced Roton-Like Dispersion in a 3D Micropolar Elastic Metamaterial
Optimizing the Performance of Printed Indium Oxide Thin-Film Transistors Through Gallium Incorporation
International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines
Worldwide, rice production contributes about 10% of total greenhouse gas (GHG) emissions from the agricultural sector, mainly due to CH4 emissions from continuously flooded (CF) fields. Alternate Wetting and Drying (AWD) is a promising crop technology for mitigating CH4 emissions and reducing the irrigation water currently being applied in many of the world's top rice-producing countries. However, decreased emissions of CH4 may be partially counterbalanced by increased N2O emissions. In this case study for the Philippines, the national mitigation potential of AWD is explored using the process-based biogeochemical model LandscapeDNDC. Simulated mean annual CH4 emissions under conventional rice production for the time period 2000 - 2011 are estimated as 1,180163 Gg CH4 yr-1. During the cropping season, this is about +16% higher than a former estimate using emission factors. Scenario simulations of nationwide introduction of AWD in irrigated landscapes suggest a considerable decrease of CH4 emissions by -23%, while N2O emissions are only increased by +8%. Irrespective of field management, at national scale the radiative forcing of irrigated rice production is always dominated by CH4 (>95%). The reduction potential of GHG emissions depends on, e.g., number of crops per year, residue management, amount of applied irrigation water and sand content. Seasonal weather conditions also play an important role, since the mitigation potential of AWD is almost double as high in dry as compared to wet seasons. Furthermore, this study demonstrates the importance of temporal continuity, considering off-season emissions and the long-term development of GHG emissions across multiple years.
Rice production systems, Alternate Wetting and Drying, Greenhouse gas emissions, Inventories, Biogeochemical modelling
Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rrice Production at National Scale – A Modelling Case Study for the Philippines
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Ludwig Maximilians University Munich (LMU), Department of Geography
LandscapeDNDC is a simulation framework for terrestrial ecosystem simulation on site, regional and global scale (Haas et al. 2013). LandscapeDNDC emerged from the MoBiLE framework (Grote et al. 2009b), which originated from the 1-D process-oriented Arable-DNDC and Forest-DNDC models (Li et al. 1992a, b, 1994, 2000; Stange et al. 2000). The modular design of LandscapeDNDC allows plugging in any process descriptions for simulating microclimate, water-, carbon- and nitrogen balances, as well as plant growth and yield of natural, semi-natural and agricultural ecosystems. Thus, also enabling consistent representation of land-use change by using different vegetation modules together with the same soil module. One important technical feature of LandscapeDNDC is its capability to run over many sites (i.e. simulating many grid cells) with a single program invocation. If running in such a mode, all cells are time-synchronized, which is highly significant for model coupling (Haas et al. 2013; Klatt et al. 2017). LandscapeDNDC is parallelized using MPI allowing the deployment on High Performance Computer (HPC) environments.
LandscapeDNDC, Biogeochemistry, Ecosystems, Modeling
Towards in-situ diagnostics of multi-photon 3D laser printing by optical coherence tomography
Data from the Parsivel disdrometer network, part of the KITcube (https://www.kitcube.kit.edu/), collected during the summer EOP of TEAMx (www.teamx-programme.org) from April to July 2025. The data was recorded with a temporal resolution of 15 seconds. The dataset contains raw data converted to netCDF format without further treatment. Integrating the measurements to a temporal resolution of at least 60 seconds is highly advised. A total of 18 devices were distributed in the Sarntal Alps region: | Site | Device | Latitude | Longitude | |-------------------------|--------------|-------------|-------------| | Bozen/Bolzano | PARS2020A | 46.45523 | 11.32158 | | Branzoll | PARS2020P | 46.4065 | 11.3111 | | Brixen | PARS2020E | 46.731 | 11.6451 | | Dornacherhof | PARS2020Q | 46.49989 | 11.43618 | | Ehrenburg | PARS2020N | 46.79953 | 11.83778 | | Feltuner Hütte | PARS2020T | 46.605172 | 11.456676 | | Gargazon | PARS2022D | 46.5767 | 11.2 | | Klobenstein | PARS2020L | 46.53895 | 11.45698 | | Kollmann | PARS2020O | 46.595116 | 11.529069 | | Meran | PARS2020F | 46.688 | 11.1366 | | Mittewald | PARS2022E | 46.806967 | 11.571978 | | Naturns | PARS2022C | 46.647873 | 10.991185 | | Pasqualihügel | PARS2020H | 46.475594 | 11.304993 | | Pens | PARS2020C | 46.78078 | 11.4166 | | Sarnthein | PARS2022A | 46.634911 | 11.359278 | | Schwarzseespitze | PARS2020M | 46.59595778 | 11.45247258 | | Sterzing | PARS2020D | 46.885 | 11.4386 | | St. Martin in Passeier | PARS2022B | 46.784444 | 11.231075 | The data is simply converted; it is not subject to quality control. The two smallest droplet size classes are outside the measurement range. For raindrops falling outside a range of 2 m/s around the size-velocity relationship specified by Atlas (1973), the results may also be misleading.
KITcube disdrometer measurements from South Tyrol, TEAMx, 2025
On Next-Generation Multi-Focus 3D Laser Printing
Karlsruher Institut für Technologie (KIT)
Erzeugung und Verwendung von Anwendungswissen in der industriellen Computertomographie (Daten)
Institute of Theoretical Solid State Physics, Karlsruhe Institute of Technology
Second harmonic generation (SHG) is forbidden in centrosymmetric molecular materials. However, a signal is frequently observed from interfaces where the symmetry is broken. Whereas the effect can be phenomenologically accommodated, an ab initio qualitative and quantitative description has remained elusive, preventing the exploration of fascinating questions such as how deep below the surface the second harmonic can still be generated. To answer such questions, we present an ab initio multiscale approach to compute the total and layer-dependent intensity of surface SHG from molecular crystals. The microscopic origin of surface SHG is identified in layer-dependent models with embedding partial charges combined with density functional theory. The models show increasing symmetry-breaking distortions of the electron cloud around the molecules as the surface layer is approached. The SHG at the molecular level is determined using time-dependent density functional theory and then brought to the scale of macroscopic films through a rigorous self-consistent multiple scattering formalism capable of predicting the measurable optical intensities of the generated second harmonic signal. We study crystalline molecular films with centrosymmetric unit cells of 7,9-Dibromobenzo[h]quinolin-10-ol. The intensity of the SHG at the surface layer is two orders of magnitude larger than at the next layer below and three orders of magnitude larger than two layers below. Besides providing fundamental understanding, our approach can be used for designing and optimizing optical devices containing nonlinear molecular materials, such as molecular laminates. We show that a relatively basic Kretschmann-like setup can enhance the surface SHG of a crystalline film of centrosymmetric molecular unit cells a thousand times.
Classification of 3D models is an open research problem. Many architectures have been proposed to classify 3D models. However, most architectures have tackled the ModelNet (Wu et al. 2015) or ShapeNet (Chang et al. 2015) datasets which offer everyday objects. To test the limitations of existing architectures and motivate new architectures, we present a challenging dataset of 3D models of flanges. There are two variants of flanges in this dataset: 1) 4 holes vs 8 holes and 2) 1 to 9 hole flanges. These holes are placed randomly on the flange faces and also in a regular fashion. Not only does this dataset stress test classification ability of existing architectures, but also promotes visualisation and explanation of learned concepts to match with human reasoning. These models are for demonstration purpose only and do not reflect actual products.
Data from the Parsivel disdrometer network, part of the KITcube (https://www.kitcube.kit.edu), collected during the Swabian MOSES 2023 measurement campaign (https://doi.org/10.3389/feart.2025.1555755) from April to October 2023. The data was recorded with a temporal resolution of 15 seconds. The dataset contains raw data converted to netCDF format without further treatment. Integrating the measurements to a temporal resolution of at least 60 seconds is highly advised. A total of 20 devices were distributed from Black Forrest to Swabian Jura region: | Site | Device | Latitude | Longitude | |:-------------------------|:----------|----------:|----------:| | Albbruck | PARS2019B | 47.585792 | 8.129954 | | Blumberg | PARS2020F | 47.837918 | 8.550677 | | Bonndorf im Schwarzwald | PARS2017B | 47.825087 | 8.347805 | | Dettingen unter Teck | PARS2020L | 48.609967 | 9.470765 | | Eggingen | PARS2020G | 47.698745 | 8.388243 | | Fischerbach | PARS2020D | 48.282400 | 8.105261 | | Hilzingen | PARS2020J | 47.761101 | 8.778437 | | Jesingen | PARS2020N | 48.640491 | 9.490964 | | Neidlingen | PARS2020Q | 48.585749 | 9.555797 | | Ochsenwang | PARS2020R | 48.577170 | 9.518126 | | Rottweil | PARS2020H | 48.172148 | 8.635606 | | Schallstadt | PARS2019A | 47.967225 | 7.773365 | | Schönau im Schwarzwald | PARS2020I | 47.784845 | 7.897354 | | Schönwald im Schwarzwald | PARS2020E | 48.092649 | 8.196640 | | Sulz am Neckar | PARS2022E | 48.386633 | 8.584862 | | Titisee-Neustadt | PARS2020C | 47.920933 | 8.183737 | | Tuttlingen | PARS2020M | 47.969036 | 8.784452 | | Villingen-Schwenningen | PARS2017A | 48.056274 | 8.487149 | | Weil am Rhein | PARS2020B | 47.588638 | 7.607784 | | Weilheim an der Teck | PARS2020T | 48.621413 | 9.510925 | The data is simply converted; it is not subject to quality control. The two smallest droplet size classes are outside the measurement range. For raindrops falling outside a range of 2 m/s around the size-velocity relationship specified by Atlas (1973), the results may also be misleading.
KITcube disdrometer measurements from Black Forest and Swabian Jura, Swabian MOSES, 2023
Institut für Angewandthe Physik, Institut für Nanotechnologie
On Time-Resolved 3D-Tracking of Elastic Waves in Microscale Mechanical Metamaterials
Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
This dataset provides pixel-wise annotations of photovoltaic (PV) systems at a spatial resolution of 0.2 m, distinguishing between rooftop PV (RTPV) and ground-mounted PV (GMPV). Two types of labels are included: (1) automatic annotations, available only for the state of Hesse, derived from geospatial sources; and (2) manually curated annotations for selected areas in Hesse and North Rhine-Westphalia (NRW), produced using high-resolution orthoimagery from Hesse and openNRW. The label data are provided without imagery, enabling integration with arbitrary remote sensing sources for applications such as PV detection and segmentation. The automatic annotations were generated using geospatial sources including OpenStreetMap (OSM), the Official Topographic-Cartographic Information System (ATKIS), and data from the Leibniz Institute of Ecological Urban and Regional Development (IOER) in Dresden. After merging these sources, GMPV installations were supplemented with data from Manske, D. (2025), “Geo-locations and System Data of Renewable Energy Installations in Germany,” Zenodo. doi:10.5281/zenodo.14627853.
The dataset is distributed as GeoTIFF files, each named according to its corresponding orthoimage tile. For manually annotated labels, the final segment of the file name indicates the reference year of the source imagery. All data are projected in EPSG:25832 (ETRS89 / UTM zone 32N). Raster pixel values are encoded as follows: 0 for background, 1 for RTPV, and 2 for GMPV. The corresponding aerial imagery can be downloaded from the following sources: for Hesse: Digitales Orthophoto © Hessisches Landesamt für Bodenmanagement und Geoinformation (HVBG), 2021/22. (https://gds.hessen.de) for NRW: Geobasis NRW - Open Data © Digitale Geobasisdaten NRW, Ministerium für Heimat, Kommunales, Bau und Digitalisierung des Landes Nordrhein-Westfalen, 2021/22/23/24 (https://open.nrw/dataset/)
Photovoltaic Systems: Reference Data on Rooftop and Ground-Mounted Installations
Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eg-genstein-Leopoldshafen, Germany.
Cryo Electron Microscopy, BioQuant, Heidelberg University and University Hospital, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
Polyradicals, magnetic polymers, magnetic beads, stable neutral radicals, chemical distributions, analytical TEM
Direct Visualization of Homogeneous Chemical Distribution in Functional Polyradical Microspheres
Finnish Meteorological Institute (Helsinki, Finland)
LandscapeDNDC is a simulation framework designed for terrestrial ecosystem models on site and regional scales (Haas et al. 2013). The model is primarily used for research questions related to carbon and nitrogen cycling, including greenhouse gas emissions, nutrient leaching to the groundwater, biomass growth and yield estimates. The model can be applied to a wide range of ecosystems including, forests, grasslands, wetlands and different types of lowland and upland cropping systems.
Processed micro-tomographic scan of the ant Strumigenys sp silvestri group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthostichus brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole fracticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oecophylla longinoda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton hamatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys peuqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus obscuripes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute for Applied Materials - Reliability and Microstructure (IAM-ZM)
Institute for Applied Materials - Mechanics of Materials and Interfaces (IAM-MMI)
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0001, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0001 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Stigmatomma FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster matsumurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** The measuring data were collected during intensive observation periods (IOP) in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2. ### **2. Temporal coverage** 01.02.2017 - 31.08.2018 ### **3. Data file structure and variables** The parent UC2_IMK_TRO_KIT data folder contains archived directories, corresponding to a particular measuring device (***WINDCUBE8, RPG_HATPRO_G4*** and ***VIRTUAL_TOWERS*** ). ***WINDCUBE8*** folder contains files of wind vectors measurements at different heights retrieved from Windlidar WINDCUBE8. ***RPG_HATPRO_G4*** folder contains data files from microwave radiometer measurements. The stored variables are cloud liquid water content, atmosphere mass content of water vapor, infrared radiometer brightness temperature, air pressure, as well as vertical temperature profiles and vertical absolute humidity profiles. ***VIRTUAL_TOWERS*** folder contains profiles of horizontal wind retrieved with the dual-Doppler Lidar technique ‘Virtual towers’. ### **4. Devices and Locations** The Doppler wind lidar WINDCUBE8 (WLS8-3 manufactured by Leosphere) was located on a rooftop of the city hall in the city centre (48.774667°N / 9.178287°E). The name of this location is cityhall. This abbreviation is the part of file name; see paragraph 6. The microwave radiometer (RPG HATPRO G4) manufactured by RPG-Radiometer Physics GmbH was located on a rooftop of the city hall tower in the city centre (48.775017°N / 9.177928°E). The name of this location is cityhalltow. This abbreviation is the part of file name; see paragraph 6. The six virtual towers were located in the Stuttgart city basin and in the Neckar valley. The names and coordinates of the six virtual towers are: wolfram (48.792912°N / 9.180950°E), citycannstat (48.788833°N / 9.190096°E), citywera (48.787575°N / 9.194673°E), naehter (48.780160°N / 9.226197°E), bcmercedes (48.787883°N / 9.233923°E), uthbherzogen (48.794566°N / 9.245064°E). These abbreviations are the parts of file names; see paragraph 6. ### **5. Type of files** WINDCUBE8, RPG_HATPRO_G4, VIRTUAL_TOWERS folders contain NetCDF-files created using Matlab R2016b regarding CF-1.7 convention. ### **6. The file name** The name of the NetCDF-file consists of some abbreviations: ***campaign-location-site-acronym-data_content-origin_date-version.nc*** Example: ***IOP02-S-cityhall-KITimktro-meteo-20170815-1.nc*** ***campaign***: IOP0X , where X is the number of an IOP. X=1: February-March 2017. X=2: June-August 2018. X=3: January-March 2018. X=4: June-August 2018. ***location***: S indicates Stuttgart. ***site***: i.e cityhall stands for location of WINDCUBE8. See paragraph 4. ***acronym***: KITimktro, stands for Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Department Troposphere Research. ***origin_date***: measuring date in the format YYYYMMDD (year, month, day) YYYYMMDD. ***version***: 1 ***data_content***: see paragraph 7. ### **7. Data content** ***WINDCUBE8*** folder contains data files with two different data contents: ***meteo*** and ***w***. The data file with the content ***meteo*** includes time series profiles of eastward (***ua***) wind and northward wind (***va***) vectors averaged over 10 minutes periods. The data file with the content ***w*** includes time series profile of vertical wind velocity (time resolution of 7 sec). ***RPG_HATPRO_G4*** folder contains data files with three different data types: ***meteo***, ***ta***, ***haa***. ***meteo*** includes time series of atmosphere cloud liquid water content (***lwp***), atmosphere mass content of water vapor (***prw***), infrared radiometer brightness temperature (***tb***), and air pressure (***plev***) from microwave radiometer measurement (time resolution of 4 sec). ta includes vertical temperature profiles (time resolution of 15 min) and ***haa*** contains vertical absolute humidity profiles (time resolution of 4 sec). ***VIRTUAL_TOWERS*** includes time series profiles of eastward (***ua***) wind and northward wind (***va***) vectors (time resolution of ca. 15 min). Information about processing of variables is given in the global attributes and in the attributes for the individual variables in each NetCDF-file.
Die meteorologischen Daten zu den Temperatur-, Feuchte- und Windfeldern wurden während vier Messkampagnen in Stuttgart im Sommer 2017, Winter 2017, Sommer 2018 und Winter 2018 erhoben. Doppler Lidarsysteme und ein Mikrowellenradiometer wurden zur Erfassung und zur Analyse der horizontalen Struktur des innerstädtischen Windfeldes und der vertikalen Struktur der urbanen Grenzschicht eingesetzt. Die Messungen wurden im Rahmen des Verbundprojekts „Dreidimensionale Observierung atmosphärischer Prozesse in Städten (3DO)“ durchgeführt. 3DO gehört zu einem der drei Module der BMBF-Fördermaßnahme Stadtklima im Wandel (UC2). Mehr Information über Ziele der UC2 Fördermaßnahme ist auf http://www.uc2-program.org/ und in den aufgelisteten Übersichtspublikationen zu finden. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913.
This dataset of meteorological observations (temperature, humidity, wind) was collected during four field campaigns in Stuttgart, Germany, in summer 2017, winter 2017, summer 2018, and winter 2018. Doppler lidars and a microwave radiometer were deployed to investigate horizontal structures of intra-urban horizontal wind field patterns and vertical structures of the urban boundary layer. The measurements were conducted within the project ‘Three-dimensional Observation of Atmospheric Processes in Cities’ (3DO). 3DO is one of three modules of the programme ‘Urban Climate Under Change’, [UC]2, funded by the German Federal Ministry of Education and Research (BMBF). More information on the goals of the UC]2 programme can be found on http://www.uc2-program.org/ and in the overview papers listed below. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913.
Data set of meteorological observations (wind, temperature, humidity) collected from a microwave radiometer and lidar measurements during four intensive observations periods in 2017 and 2018 in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2).
This repository provides the transformation network simulator developed for the paper "Termination and Expressiveness of Execution Strategies for Networks of Bidirectional Model Transformations". It serves as a reproduction package for the insights on execution strategies of transformation networks given in the paper. The artifacts comprise the sources for the simulator and a generated ready-to-use web application. In the simulator, the execution strategy presented in the paper as well as different other execution strategies for comparison are implemented and can be executed on different example scenarios, containing the scenario based on UML, Java, and OpenAPI that we have depicted in the paper.
Instructions on how to use the data can be found within the repository.
Reproduction Package for the Paper on Termination and Expressiveness of Execution Strategies for Networks of Bidirectional Model Transformations
Processed micro-tomographic scan of the ant Discothyrea patrizii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole obscurithorax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole afrc-063, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster trinacriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex cribrarius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycocepurus goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf hetschkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis invicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Optimized geometries of molecules and complexes, example of ORCA-input file, detailed experimental data and description of experimental setup.
Computational Ferrocene Electrode Cyclic Voltammetry DFT Marcus-Hush Theory N-formylpyrrolidine Shono Oxidation
The electrochemical Shono oxidation of N-formylpyrrolidin: Mechanistic insights from the computational ferrocene electrode model and cyclic voltammetry: SI
The data in this repository is linked to the research article: "A comprehensive 3D velocity model for the European Alps: New insights into the crustal structure", submitted to JGR Solid Earth Authors: Benedikt Braszus - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Andreas Rietbrock - Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe, Germany Christian Haberland - Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany This data repository contains the following files and subdirectories: model - Layerwise .grd files for vp, vp/vs & vs models between -4km and 79km depth resolution - grid masks indicating the resolved parts of the model space - "P" in the filename refers to the "vp" model, "PS" refers to the "vp/vs" and "vs" model - grid masks are given for the discrete depths of 0, 10, 18, 28, 40, 55 and 70km, i.e. the grid at 18km is valid for the depth range of 14-23km events - events.txt - Event catalog of 2553 events upon which the velocity inversion is based stations - station_list.csv - stations_renamed.txt picks - EQKS - SIMUL EQKS file of the single inversion run with the lowest misfit - note that hypocentral parameters in this file do exactly match the ones given in the final event catalog, because the event catalog is an average over the best 20 individual runs - absolute arrial times given by the event origin time plus the travel time to each station are accurate, though
A comprehensive 3D velocity model for the European Alps based on local earthquake tomography
This code is used for the numerical experiment in Section 6 of the preprint "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions" by Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.3.2) has to be installed, cf. https://www.dealii.org/9.3.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates the file "results" containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "A unified error analysis for nonlinear wave-type equations with application to acoustic boundary conditions"
This study presents parts of the research conducted within the DAMAST and DAMAST-Transfer projects, specifically focusing on rock mechanics tests at the KIT-Spartak and KIT-2 boreholes. Most analyses, including uniaxial compression tests to determine the rock density, unconfined compressive strength (UCS) and Young's modulus, were conducted by the Institute of Soil Mechanics and Rock Mechanics laboratory at KIT. More information on the DAMAST and DAMAST-Transfer project on https://www.damast-caucasus.de/. A project overview is also given in Niederhuber et al. (2024).
Rock Mechanics Parameters of Boreholes in the Vicinity of the Enguri High Arch Dam in Georgia
We present high resolution measurements of pollutant trace gases in the South Atlantic Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the SouthTRAC (Transport and Composition in the Southern Hemisphere Upper Troposphere/Lower Stratosphere) campaign with bases in Oberpfaffenhofen, Germany, and Rio Grande, Argentina, on board the German High Altitude and Long range research Aircraft (HALO), 2019. Measurements of peroxyacetyl nitrate (PAN), ethane (C$_2$H$_6$), formic acid (HCOOH), methanol (CH$_3$OH), and ethylene(C$_2$H$_4$) show strong local enhancements up to altitudes of 14 km. More than 1000 pptv of PAN, more than 1400 pptv of C$_2$H$_6$, more than 600 pptv of HCOOH, more than 4000 pptv of CH$_3$OH, and more than 200 pptv of C$_2$H$_4$ are observed.
GLORIA data for: Biomass burning pollution in the South Atlantic upper troposphere: GLORIA trace gas observations and evaluation of the CAMS model
Dieser Beitrag enthält experimentelle Wärmeübertragungsdaten für eine turbulente Rohrströmung der Flüssigmetalllegierung GaInSn. Das horizontale Rohr wird azimutal inhomogen beheizt und es werden vier verschiedene Orientierungen des Wärmestroms im Vergleich zur Erdbeschleunigung untersucht. Die Reynoldszahl der Strömung wird im Bereich von $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$ variiert.
Raw and analyzed data for the heat transfer of a horizontal turbulent tube flow of the liquid metal alloy GaInSn summarized in an excel file.
This contribution provides experimental heat transfer data for a turbulent tube flow of the liquid metal alloy GaInSn. The horizontal tube is azimuthally inhomogeneous heated and four different orientations of the heat flux compared to the gravitational acceleration are examined. The Reynolds number of the flow is varied in the range of $8 \cdot 10^{3} < \mathrm{Re} < 1 \cdot 10^{5}$.
Heat transfer data of a horizontal turbulent tube flow of GaInSn with azimuthal inhomogeneous heat flux with focus on mixed convection
openCARP is an open cardiac electrophysiology simulator for in-silico experiments
European High-Performance Computing Joint Undertaking EuroHPC (JU)
These files contain the data used in the publication: “Rearrangement of secondary flow over spanwise heterogeneous roughness” A. Stroh, K. Schäfer, B. Frohnapfel and P. Forooghi published in Journal of Fluid Mechanics, 2019. (DOI: 10.1017/jfm.2019.1030) Abstract: Turbulent flow over a surface with streamwise-elongated rough and smooth stripes is studied by means of direct numerical simulation (DNS) in a periodic plane open channel with fully resolved roughness. The goal is to understand how the mean height of roughness affects the characteristics of the secondary flow formed above a spanwise-heterogeneous rough surface. To this end, while the statistical properties of roughness texture as well as the width and spacing of the rough stripes are kept constant, the elevation of the smooth stripes is systematically varied in different simulation cases. Utilizing this variation three configurations representing protruding, recessed and an intermediate type of roughness are analysed. In all cases secondary flows are present and the skin friction coefficients calculated for all the heterogeneous rough surfaces are meaningfully larger than what would result from the area-weighted average of those of homogeneous smooth and rough surfaces. This drag increase appears to be linked to the strength of the secondary flow. The rotational direction of the secondary motion is shown to depend on the relative surface elevation. The present results suggest that this rearrangement of the secondary flow is linked to the spatial distribution of the spanwise-wall-normal Reynolds stress component which carries opposing signs for protruding and recessed roughness. Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an open turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip boundary conditions at the lower domain wall (y = 0) and symmetry boundary conditions (v = 0, ∂u/∂y = ∂w/∂y = 0) at the upper boundary (y = δ). The flow is driven by a prescribed constant pressure gradient (CPG). The friction Reynolds number for the present case is fixed to Re_τ = 500. Simulation configuration - Grid nodes: Nx x Ny x Nz = 768 × 301 × 384 - Domain size: Lx x Ly x Lz = 8δ × δ × 4δ - Resolution: ∆x+=5.2, ∆y_min+=0.014, ∆y_max+=2.6, ∆z+ = 5.2 The surface structure is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. The structure is placed on the lower domain wall in such a way that the surface height H of the largest raised surface elements is given by H/δ = 10.2%. Data Files: The data files are saved and labeled corresponding to the figure in the manuscript in *.mat files. Each file contains MATLAB data consisting of the plotted quantities and corresponding coordinates. The data is non-dimensionalized as shown in the manuscript figures utilizing friction velocity u_τ, viscous lengthscale δ_ν or bulk mean velocity U_b and effective domain height δ_eff. A matlab script “plot_figures.m” provides the code, which loads the data and plots it in the same way as it has been done in the manuscript. “height_distributions.mat” contains the original roughness distributions utilized in the considered simulations. The files can be also loaded and plotted using “plot_figures.m” 3-dimensional instantaneous snapshot and time series of velocity fields is available upon request (alexander.stroh@kit.edu). Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Alexander Stroh Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ November, 2019
Dataset for rearrangement of secondary flow over spanwise heterogeneous roughness
Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT), Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file included in this dataset. [1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947 [2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x [3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains data from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes result data (capacity, impedance, and pulse resistance measurements). The log data is published under the DOI 10.35097/kww7jv8ajuvchcah.
electrochemical impedance spectroscopy (EIS)
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. Users of the IDL data language can use the programs which are delivered as an archive, too. For previous version see relations.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as derived from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
IMK/IAA MIPAS temperature retrieval version 8: nominal measurements: the data set [Updated version]
The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly detection. Furthermore, milling tools with two different diameters where used which led to a dataset eligible for transfer learning.
The dataset consists of seven folders. Each folder represents one milling run. In each milling run the depth of cut was set to 3 mm. A folder contains a maximum of three json files. The number of files depends on the time needed for each run which is a function of milling tool diameter and feed rate. Files in each folder were numerated in sequence. For example, folder “run1” contains the files “run1_1” and “run1_2” with the last number indicating the order in which the files were generated. The frequency of recording datapoints was set to 500 Hz. During each milling run the milling tool moved along the longitudinal side and then was moved back alongside the workpiece. This way machining started always on the same side of the workpiece. Table 1 provides an overview of the milling runs. Run 1 to 4 were performed with a HSS tool with a diameter of 10 mm. The tool in use was an end mill (HSS-E-SPM HPC 10 mm) developed by Hoffmann Group. During the first three runs with this end mill no tool breakage occurred. However, in run 4 the tool broke. Runs 5 and 6 were performed by milling with an end mill of the same tool series (HSS-E-SPM HPC 8 mm) that just differs in tool diameter. In contrast to this run 7 was performed by using a solid carbid tool (Solid carbide roughing end mill HPC 8 mm). Cutting with SC tools provides much higher productivity with the downside being higher tool price. In our case the SC end mill performed cuts with a feed rate of 1150 mm/min compared to 191 mm/min achieved by a HSS end mill of the same diameter. Tool breakages were recorded on all runs with end mills of diameter 8 mm. Table 1. overview of the data folders folder name | number of json files | tool diameter | tool breakage | tool type run 1 2 10 mm No HSS run 2 2 10 mm No HSS run 3 2 10 mm No HSS run 4 2 10 mm Yes HSS run 5 2 8 mm Yes HSS run 6 3 8 mm Yes HSS run 7 1 8 mm Yes SC Each json file consists of a header and a payload. The header lists all parameters that were recorded such as position, motor torque and motor current of each of a maximum of five axes of a milling machine. However, the machine used in our experiments is a 3-axis machining center which leaves the payload of 2 possible additional axes to be empty. In the payload the sequential data for each parameter can be found. A list of recorded signals can be found in Table 2. Table 2. recorded signals during milling Signal index in payload | Signal name | Signal Address |Type 13-18 VelocityFeedForward VEL_FFW|1* double 19-24 Power POWER|1* string 25-30 CountourDeviation CONT_DEV|1* double 38-43 TorqueFeedForward TORQUE_FFW|1* double 44-49 Encoder1Position ENC1_POS|1* double 56-61 Load LOAD|1* double 68-73 Torque TORQUE|1* double 68-91 Current CURRENT|1* double * 1 represents x-axis, 2 represents y-axis, 3 represents z-axis and 6 represents spindle-axis. Note that our milling center has 3 axis and therefore values for axes 4 and 5 are null.
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
Raw data were compressed using 7zip. Samples were labelled according to the word document.
Raw data for One-pot cascade reaction from epoxide to carboxylic acids using bifunctional Fe-ZSM-5
This publication includes data for the German electricity system in 2030 and a corresponding documentation of the methodology of data acquisition and preprocessing. The data set includes 1.) topological data on the transmission grid, the generation infrastructure and the demand, 2.) a time series of electricity demand in 2030 in an hourly resolution, 3.) a time series of renewable generation in 2030 in an hourly resolution, and 4.) dispatchable generation capacity and costs in 2030. All data is spatially resolved, at the level of 485 nodes.
The German Electricity System in 2030: Data on Consumption, Generation, and the Grid (updated version)
Physikalisch-Meteorologisches Observatorium Davos and World Radiation Center, Davos, Switzerland
Finish Meteorological Institute FMI, Helsinki, Finland
Karlsruhe Institute of Technology, Karlsruhe, Germany
High Altitude Observatory, National Center for Atmospheric Research NCAR, Boulder, US
Karlsruher Institut für Technologie, IMKASF
Post-processed model results from the composition-climate models EMAC, HAMMONIA, KASIMA, WACCM-D and WACCM-X as used in Figures 2, 3, 4, 5, 6, and 7 as well as Supplementary Figures 1, 2, 3 and 4 of Sinnhuber et al., ACP, 2025 (preprint: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2256/egusphere-2024-2256.pdf). Descriptions of the models and their setups used here are also found in Sinnhuber et al., 2025.
Chemistry-climate model results of EMAC, HAMMONIA, KASIMA, WACCM-D and WACCM-X for intercomparison of thermospheric NO and its formation and loss mechanism
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V5 (videos)
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V2 (videos)
This folder contains videos of face masks (Mask) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V5 (videos)
This folder contains videos of face masks (Mask) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V4 (videos)
This folder contains videos of face masks (Mask) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V2 (videos)
The data are described in the paper by M. Höpfner et al.: 'Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019, https://doi.org/10.1038/s41561-019-0385-8.' The datasets are provided in netCDF format and can e.g. be visualized with the software Panoply which is available at 'https://www.giss.nasa.gov/tools/panoply/'.
Datasets from MIPAS and GLORIA infrared limb-sounding instruments, from AIDA cloud-chamber observations and from ATLAS and TRACZILLA trajectory calculations as used in the paper 'M. Höpfner et al., Ammonium nitrate particles formed in upper troposphere from ground ammonia sources during Asian monsoons', Nature Geoscience, 2019.
In the work package WP3.1 of the PRESLHY project the blow-down behavior of cryogenic hydrogen stored at elevated pressure is investigated by the project partners Karlsruhe Institute of Technology (KIT) and Pro-Science (PS). The main purpose of WP3.1 was to provide validation or reference data for • models defining or using a discharge coefficient, • subsequent explosion tests, where the released gases will be ignited (see E5.2), and • electrostatic field excitation and associated ignition potential of high-pressure hydrogen gas jets at cryogenic temperatures.
In part B of WP3.1 of the PRESLHY project 12 hydrogen blow-down experiments were performed with the Cryostat-facility on a free field-test site located a few kilometers to the north of KIT Campus North. About half of the experiments were made with liquid hydrogen at cryogenic temperatures (approx. 20 K). In the experimental campaign, the same release branch as in the related DisCha-experiments of Task 3.1A was used to facilitate comparison with the experiments of this series. For the same reason, five of the blow-down tests were made under ambient temperature conditions, since in part A also half of the matrix was performed under these conditions. The tests showed very good reproducibility. Besides the discharge characteristics and the transient jet behavior also the electrostatic fields have been recorded to understand potential mechanisms for spontaneous ignition.
This dataset contains 13 converted Ultrasound datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. BUS_BRA: CC-BY 4.0 BUS_UCLM: CC-BY-NC 4.0 FASS: CC-BY 4.0 HC18: CC-BY 4.0 MMOTU: CC-BY 4.0 MUSCLE_US: CC-BY 4.0 OASBUD: CC-BY-NC 4.0 PSFHS: CC-BY 4.0 TG3K: CC-BY-NC 3.0 TN3K: CC-BY-NC 3.0 100_US: Please see https://www.researchgate.net/publication/307907688_Ultrasound_Liver_Tumor_Datasets_Segmentations for licensing details BUSI: "Breast Ultrasound dataset can be used to train machine learning models which can classify, detect and segment early signs of masses or micro-calcification in breast cancer. Researchers with interest in classification, detection, and segmentation of breast cancer can utilize this data of breast ultrasound images, combine it with others' datasets, and analyze them for further insights." DDTI: "available for immediate download for research" ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] 100_US Please see https://www.researchgate.net/publication/307907688_Ultrasound_Liver_Tumor_Datasets_Segmentations for licensing details ---------------------------------------- License: Dataset link: https://www.researchgate.net/publication/307907688_Ultrasound_Liver_Tumor_Datasets_Segmentations Metadata file: Ultrasound/100_US/metadata.json Citation (bibtex): @article{hann2017algorithm, title={Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound}, author={Hann, Alexander and Bettac, Lucas and Haenle, Mark M and Graeter, Tilmann and Berger, Andreas W and Dreyhaupt, Jens and Schmalstieg, Dieter and Zoller, Wolfram G and Egger, Jan}, journal={Scientific Reports}, volume={7}, number={1}, pages={12779}, year={2017}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [2] BUSI ---------------------------------------- License: Breast Ultrasound dataset can be used to train machine learning models which can classify, detect and segment early signs of masses or micro-calcification in breast cancer. Researchers with interest in classification, detection, and segmentation of breast cancer can utilize this data of breast ultrasound images, combine it with others' datasets, and analyze them for further insights. Dataset link: https://scholar.cu.edu.eg/?q=afahmy/pages/dataset Metadata file: Ultrasound/BUSI/metadata.json Citation (bibtex): @article{al2020dataset, title={Dataset of breast ultrasound images}, author={Al-Dhabyani, Walid and Gomaa, Mohammed and Khaled, Hussien and Fahmy, Aly}, journal={Data in brief}, volume={28}, pages={104863}, year={2020}, publisher={Elsevier} } ---------------------------------------- [3] BUS_BRA ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/8231412 Metadata file: Ultrasound/BUS_BRA/metadata.json Citation (bibtex): @article{gomez2024bus, title={BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems}, author={G{\'o}mez-Flores, Wilfrido and Gregorio-Calas, Maria Julia and Coelho de Albuquerque Pereira, Wagner}, journal={Medical physics}, volume={51}, number={4}, pages={3110--3123}, year={2024}, publisher={Wiley Online Library} } ---------------------------------------- [4] BUS_UCLM ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: https://data.mendeley.com/datasets/7fvgj4jsp7/2 Metadata file: Ultrasound/BUS_UCLM/metadata.json Citation (bibtex): @data{Vallez2024BUSUCLM, author = {Vallez, Noelia and Bueno, Gloria and Deniz, Oscar and Rienda, Miguel Angel and Pastor, Carlos}, title = {{BUS-UCLM: Breast ultrasound lesion segmentation dataset}}, year = 2024, version = {V2}, publisher = {Mendeley Data}, doi = {10.17632/7fvgj4jsp7.2}, url = {https://doi.org/10.17632/7fvgj4jsp7.2} } ---------------------------------------- [5] DDTI ---------------------------------------- License: "available for immediate download for research" " The access to the dataset is open and the user can download the cases" Dataset link: https://cimalab.unal.edu.co/projects/detail/20/ Metadata file: Ultrasound/DDTI/metadata.json Citation (bibtex): @inproceedings{pedraza2015open, title={An open access thyroid ultrasound image database}, author={Pedraza, Lina and Vargas, Carlos and Narv{\'a}ez, Fabi{\'a}n and Dur{\'a}n, Oscar and Mu{\~n}oz, Emma and Romero, Eduardo}, booktitle={10th International symposium on medical information processing and analysis}, volume={9287}, pages={188--193}, year={2015}, organization={SPIE} } ---------------------------------------- [6] FASS ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/4gcpm9dsc3/1 Metadata file: Ultrasound/FASS/metadata.json Citation (bibtex): @data{DaCorreggio2023Fetal, author = {Da Correggio, Karine Souza and Noya Galluzzo, Roberto and Santos, Luís Otávio and Soares Muylaert Barroso, Felipe and Zimmermann Loureiro Chaves, Thiago and Sherlley Casimiro Onofre, Alexandre and von Wangenheim, Aldo}, title = {Fetal Abdominal Structures Segmentation Dataset Using Ultrasonic Images}, year = 2023, version = {V1}, publisher = {Mendeley Data}, doi = {10.17632/4gcpm9dsc3.1}, url = {https://doi.org/10.17632/4gcpm9dsc3.1} } ---------------------------------------- [7] HC18 ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/1327317 Metadata file: Ultrasound/HC18/metadata.json Citation (bibtex): @article{van2018automated, title={Automated measurement of fetal head circumference using 2D ultrasound images}, author={van den Heuvel, Thomas LA and de Bruijn, Dagmar and de Korte, Chris L and Ginneken, Bram van}, journal={PloS one}, volume={13}, number={8}, pages={e0200412}, year={2018}, publisher={Public Library of Science San Francisco, CA USA} } ---------------------------------------- [8] MMOTU ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/_zip/25058690?file=44222642 Metadata file: Ultrasound/MMOTU/metadata.json Citation (bibtex): @article{Li2024, author = "Lang Li", title = "{MMOTU dataset}", year = "2024", month = "1", url = "https://figshare.com/articles/dataset/_zip/25058690", doi = "10.6084/m9.figshare.25058690.v2" } ---------------------------------------- [9] MUSCLE_US ---------------------------------------- License: CC-BY 4.0 Source: 'license' field Dataset link: https://data.mendeley.com/datasets/3jykz7wz8d/1 Metadata file: Ultrasound/MUSCLE_US/metadata.json Citation (bibtex): @article{marzola2021deep, title={Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment}, author={Marzola, Francesco and Van Alfen, Nens and Doorduin, Jonne and Meiburger, Kristen M}, journal={Computers in biology and medicine}, volume={135}, pages={104623}, year={2021}, publisher={Elsevier} } ---------------------------------------- [10] OASBUD ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: https://zenodo.org/records/545928 Metadata file: Ultrasound/OASBUD/metadata.json Citation (bibtex): @article{piotrzkowska2017open, title={Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions}, author={Piotrzkowska-Wr{\'o}blewska, Hanna and Dobruch-Sobczak, Katarzyna and Byra, Micha{\l} and Nowicki, Andrzej}, journal={Medical physics}, volume={44}, number={11}, pages={6105--6109}, year={2017}, publisher={Wiley Online Library} } ---------------------------------------- [11] PSFHS ---------------------------------------- License: CC BY 4.0 Dataset link: https://zenodo.org/records/7851339#.ZEH6eHZBztU Metadata file: Ultrasound/PSFHS/metadata.json Citation (bibtex): @dataset{Jieyun2023PubicSymphysis, author = {Jieyun, B. and ZhanHong, O.}, title = {Pubic Symphysis-Fetal Head Segmentation and Angle of Progression}, year = 2023, version = {v1}, publisher = {Zenodo}, doi = {10.5281/zenodo.7851339}, url = {https://doi.org/10.5281/zenodo.7851339} } ---------------------------------------- [12] TG3K ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: https://github.com/haifangong/TRFE-Net-for-thyroid-nodule-segmentation Metadata file: Ultrasound/TG3K/metadata.json Citation (bibtex): @article{gong2023thyroid, title={Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules}, author={Gong, Haifan and Chen, Jiaxin and Chen, Guanqi and Li, Haofeng and Li, Guanbin and Chen, Fei}, journal={Computers in biology and medicine}, volume={155}, pages={106389}, year={2023}, publisher={Elsevier} } ---------------------------------------- [13] TN3K ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: https://github.com/haifangong/TRFE-Net-for-thyroid-nodule-segmentation Metadata file: Ultrasound/TN3K/metadata.json Citation (bibtex): @article{gong2023thyroid, title={Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules}, author={Gong, Haifan and Chen, Jiaxin and Chen, Guanqi and Li, Haofeng and Li, Guanbin and Chen, Fei}, journal={Computers in biology and medicine}, volume={155}, pages={106389}, year={2023}, publisher={Elsevier} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required
Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
These are the experimental data for the paper> Bach, Jakob, Markus Iser, and Klemens Böhm. "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" published at the conference [*SAT 2022*](http://satisfiability.org/SAT22/). You can find the paper [here](https://www.doi.org/10.4230/LIPIcs.SAT.2022.2) and the code [here](https://github.com/Jakob-Bach/Small-Portfolios). See the `README` for details.
# Experimental Data for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" These are the experimental data for the paper> Bach, Jakob, Markus Iser, and Klemens Böhm. "A Comprehensive Study of k-Portfolios of Recent SAT Solvers" accepted at the conference [*SAT 2022*](http://satisfiability.org/SAT22/). Check our [GitHub repository](https://github.com/Jakob-Bach/Small-Portfolios) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` [CPU](https://www.amd.com/en/products/cpu/amd-epyc-7551) (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The Python version was `3.8.10`. With this configuration, the experimental pipeline (`run_experiments.py`) took about 25 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`d402353e7f`](https://github.com/Jakob-Bach/Small-Portfolios/tree/d402353e7f5804d3b693c3057f203a2c719c4098). The commit hash for the last run of the evaluation pipeline (`run_evaluation.py`) is [`5ba0468088`](https://github.com/Jakob-Bach/Small-Portfolios/tree/5ba0468088fc0ce0ce3d2f04229946c1df83fa9d). Both commits are also tagged. In the following, we describe: - how to use the experimental data - the structure/content of each data file ## Using the Data Most of the experimental pipeline's input and output files are plain CSVs. You can easily read in any of the CSVs with `pandas` if you are using Python: ```python import pandas as pd results = pd.read_csv('<path>/search_results.csv') ``` All CSVs were written with `<DataFrame>.to_csv(<path>, index=False)`, i.e., they follow `pandas`' defaults for CSVs, so it is unnecessary to pass further parameters when reading them in with `pandas`. The CSVs mostly contain plain numbers and strings; the latter are only quoted if necessary, e.g., if they contain commas. However, the column `solvers` in `search_results.csv` contains lists of solver names. You can convert this column from string to proper Python lists as follows: ```python import ast search_results['solvers'] = search_results['solvers'].apply(ast.literal_eval) ``` ## `*.db` files and corresponding `*.csv` files Raw instance-feature databases and solver-runtime databases from [GBD](https://gbd.iti.kit.edu), as well as CSV exports of them. Outputs of the script `prepare_dataset.py`. - `meta`: Meta-data of SAT instances, e.g., in which competition(s) the instances were used. We only use this information to filter instances for the experimental datasets but not as features for predictions. - `satzilla`: Instance features obtained with the feature extractor of [*SATzilla 2012*](https://www.cs.ubc.ca/labs/algorithms/Projects/SATzilla/Report_SAT_features.pdf). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance; each column represents a feature (column names are feature names). The value `timeout` represents missing values (feature extractor exceeded time or memory limits). - `sc2020`: Solver runtimes from the [*SAT Competition 2020*](https://satcompetition.github.io/2020/). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance (not all of them are actually from this SAT competition, so we filter instances later); each column represents a solver (column names are solver names). The values `failed`, `unknown`, and `timeout` represent missing values (solver did not solve instance within cut-off time). - `sc2021`: Solver runtimes from the [*SAT Competition 2021*](https://satcompetition.github.io/2021/). Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance (not all of them are actually from this SAT competition, so we filter instances later); each column represents a solver (column names are solver names). The value `timeout` represents missing values (solver did not solve instance within cut-off time). ## `sc(2020|2021)_features.csv` Pre-processed instance-feature data for the *Main Track* of the SAT Competitions 2020 and 2021. Output of the script `prepare_dataset.py`; input to the script `run_experiments.py`. Numeric matrix, apart from the `hash` column that identifies instances (we do not have any categorical features; they would need to be encoded beforehand). Each row represents a SAT instance; each column represents a feature (column names are feature names). Has the same number of rows as the corresponding runtime file. The empty string represents missing values caused by the feature extractor exceeding time or memory limits; these missing values are handled (imputed) in the prediction pipeline. ## `sc(2020|2021)_runtimes.csv` Pre-processed solver-runtime data from the *Main Track* of the SAT Competitions 2020 and 2021. Output of the script `prepare_dataset.py`; input to the script `run_experiments.py`. Numeric matrix, apart from the `hash` column that identifies instances. Each row represents a SAT instance; each column represents a solver (column names are solver names). Has the same number of rows as the corresponding feature file. Missing values were replaced with the double cut-off time according to PAR-2 scoring (= 10000). ## `search_results.csv` Results of portfolio search, e.g., portfolios, train/test objective values, and search times. Output of the script `run_experiments.py`; input to the script `run_evaluation.py`. - `solvers` (string, but actually a list of strings): List of the names of the solvers forming the portfolio. The solver names are column names in `sc(2020|2021)_runtimes.csv`. - `train_objective` (float): Objective value of a solution (= portfolio) to the `K-Portfolio-Problem`, using the SAT instances from the training data. The objective is defined as the PAR-2 score of the portfolio's virtual best solver (VBS). - `test_objective` (float): Objective value of the `K-Portfolio-Problem` for the SAT instances from the test data, i.e., take the solvers of the portfolio determined on the training data, and compute their VBS on the test instances (without running portfolio search again). - `(train|test)_portfolio_vws` (float): PAR-2 score of the virtual worst solver (VWS) formed from the portfolio, i.e., select the worst (in terms of PAR-2 score) solver from the portfolio for each instance. Might be used for comparison purposes; we do not use it in our evaluation. Bounds the objective value for portfolios with instance-specific solver selection. - `(train|test)_portfolio_sbs` (float): PAR-2 score of the single best solver (SBS) from the portfolio, i.e., the best individual solver contained in the portfolio. Might be used for comparison purposes; we use it in Figures 4 and 5 as a baseline. - `(train|test)_portfolio_sws` (float): PAR-2 score of the single worst solver (SWS) from the portfolio, i.e., the worst individual solver contained in the portfolio. Might be used for comparison purposes; we do not use it in our evaluation. - `(train|test)_global_sws` (float): PAR-2 score of the single worst solver (SWS) from all solvers (independent from current portfolio), i.e., the globally worst individual solver. Might be used for comparison purposes; we use it in Figures 1 and 2 for the submodularity-based upper bound. - `search_time` (float): Runtime (in seconds) of the portfolio search (on the particular dataset and cross-validation fold, with the particular portfolio-search approach). - `search_id` (int): Identifier denoting combinations of dataset, cross-validation fold, and portfolio-search approach. The experimental pipeline parallelizes these tasks. Each `search_id` might be associated with multiple portfolios; combining `search_id` and `solution_id` allows joining `search_results` and `prediction_results`. - `solution_id` (int): Identifier to distinguish between multiple portfolios found with a particular portfolio-search approach on a particular dataset and cross-validation fold. Apart from `mip_search` (the *optimal solution*), all search approaches yield multiple portfolios. - `fold_id` (int in `{0, 1, 2, 3, 4}`): Index of the cross-validation fold. - `problem` (string, 2 different values): Dataset name (in our experiments: `SC2020` or `SC2021`). - `algorithm` (string, 4 different values): Search approach used to determine portfolios (in our experiments: `beam_search`, `kbest_search`, `mip_search`, or `random_search`). - `k` (int in `[1, 48]`): Desired number of solvers in the portfolio, an input parameter to portfolio search. The actual number of solvers in column `solvers` might differ, as *beam search* and *k-best* are only run with the maximal `k` for each dataset, but also yield all smaller portfolios (intermediate results). - `w` (int in `[1, 100]`, but stored as float): Beam width if *beam search* was used, or number of random samples if *random search* was used. Missing value (represented as an empty string) for the other two search approaches. Input parameter to portfolio search. ## `prediction_results.csv` Results of predictions with portfolios, e.g., train/test prediction performance, train/test objective values, and feature importance. Output of the script `run_experiments.py`; input to the script `run_evaluation.py`. - `model` (string, 2 different values): Name of the prediction model (in our experiments: `Random Forest` and `XGBoost`). Each prediction model is trained for each portfolio from the search (thus, `prediction_results` has twice the number of rows as `search_results`). - `pred_time` (float): Runtime (in seconds) for training the prediction model (for one portfolio) on the training data, and making predictions on training data as well as test data. - `(train|test)_pred_mcc` (float in `[-1, 1]`): Prediction performance in terms of Matthews Correlation Coefficient for predicting the best solver from the portfolio for each instance. - `(train|test)_pred_objective` (float): PAR-2 score of the (instance-specific) solver recommendations made by the prediction model. - `imp.<feature_name>` (float in `[0, 1]`): Feature importances extracted from the prediction model after training. Importances are normalized and should sum up to one for each row. Missing values (represented as empty strings) occur if no prediction model was trained since the prediction target only had one class, e.g., portfolio had size one or always the same solver (out of multiple solvers) was best. - `search_id` (int), `solution_id` (int): Same as in `search_results.csv`, can be used for joining the results. ## `Evaluation_console_output.txt` Output of the script `run_evaluation.py`, manually copied from the console to a file.
Experimental Data for the Paper "A Comprehensive Study of k-Portfolios of Recent SAT Solvers"
Data for publication in Monthly Weather Review (MWR) by Behrooz Keshtgar, Corinna Hoose and Aiko Voigt
This dataset contains the post-processed output of the ICON model simulations used in the study, “Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX”, which examines how cloud-radiative heating (CRH) and associated uncertainties affect the dynamics of four extratropical cyclones observed during the 2016 NAWDEX field campaign. A set of numerical simulations was performed during four NAWDEX intensive observation periods (IOPs 3, 4, 6 and 7), each associated with the evolution of an extratropical cyclone. This set of simulations includes those with CRH (the reference/McICA_Fu simulations), as well as those in which CRH was either disabled ('Clouds-Off') or modified using different radiation schemes (McICA-Baran, TripleCLD-Fu and RRTM). The dataset provides the processed ICON output fields that were used for most of the analysis and figure generation in the associated publication. It contains ICON data remapped onto a regular 1° × 1° latitude–longitude grid in NetCDF format. Each simulation has been archived separately, corresponding to specific IOPs and radiation configurations, as indicated by the archive filenames and summarised in the simulation table.
### Table of simulations | Simulation | IOPs | CRH | Radiation scheme | Archive name | |------------|------|-----|------------------|--------------| | sim0001 (ref) | 3 & 4 | yes | ecRad (McICA_Fu) | sim0001_reference_iop_3_4.tar.gz | | sim0002 (ref) | 6 & 7 | yes | ecRad (McICA_Fu) | sim0002_reference_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0003 | 3 | no | ecRad (McICA_Fu) | sim0003_short_cloudsoff_iop_3.tar.gz | | sim0004 | 4 | no | ecRad (McICA_Fu) | sim0004_short_cloudsoff_iop_4.tar.gz | | sim0005 | 6 | no | ecRad (McICA_Fu) | sim0005_short_cloudsoff_iop_6.tar.gz | | sim0006 | 7 | no | ecRad (McICA_Fu) | sim0006_short_cloudsoff_iop_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0007 | 3 & 4 | no | ecRad (McICA_Fu) | sim0007_long_cloudsoff_iop_3_4.tar.gz | | sim0008 | 6 & 7 | no | ecRad (McICA_Fu) | sim0008_long_cloudsoff_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0009 | 3 & 4 | yes | ecRad (McICA_Baran) | sim0009_McICA_Baran_iop_3_4.tar.gz | | sim0010 | 6 & 7 | yes | ecRad (McICA_Baran) | sim0010_McICA_Baran_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0011 | 3 & 4 | yes | RRTM (ECHAM6) | sim0011_RRTM_iop_3_4.tar.gz | | sim0012 | 6 & 7 | yes | RRTM (ECHAM6) | sim0012_RRTM_iop_6_7.tar.gz | | **—** | **—** | **—** | **—** | **—** | | sim0013 | 3 & 4 | yes | ecRad (TripleCLD_Fu) | sim0013_TripleCLD_iop_3_4.tar.gz | | sim0014 | 6 & 7 | yes | ecRad (TripleCLD_Fu) | sim0014_TripleCLD_iop_6_7.tar.gz |
ICON simulation output for "Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX"
LIFT printing stands as a unique technique for localized deposition of e.g.\ nanoparticle pastes onto target substrates. The extent of its versatility hinges upon the availability of nanoparticle inks that align with the capabilities of the printing device. Given the inherent distinctions among various devices attributed to differences in laser types (continuous-wave or pulsed), laser energy profiles, and adaptable wavelengths, ink formulation and the LIFT printing processes are frequently disjointed, which results in a lengthy optimization cycle. Significantly expedited optimization cycles could be achieved if LIFT performance of an ink could be tested on-site of the ink developer. This localization empowers ink developers to tailor inks precisely to specific usage scenarios by promptly adjusting parameters such as particle size, viscosity, and surface properties. This paper presents a dedicated LIFT device that focuses on fine-tuning ink characteristics, and provides insights into the construction to allow other interested researchers to build similar low-cost, easy-to-operate setups.
These are images generated for the planned publication. There is also measurement data from viscosity measurements, and dot size measurements. Also there is machine code for arduino
A portable LIFT printer to enable the fast on site optimization of inks toward special customer needs
The dataset contains tomographic data of Otiorhynchus sulcatus, including a full-body scan acquired via synchrotron micro-CT, scans of the femoro-tibial joint using,synchrotron micro-CT, nano-CT, as well as focused ion beam (FIB) imaging. The data is featured in the study by Pichler et al. 2025.
Tomographic data of the weevil Otiorhynchus sulcatus
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V4 (videos)
Data for the publication: Temporal decay of secondary motions in turbulent channel flows
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V4 (videos)
On Parallelization Approaches for Two-Step-Absorption 3D Laser Microprinting
European Institute for Energy Research (EIFER), Karlsruher Institut für Technologie (KIT)
Pressurized Single Cell Testing of Solid Oxide Cells
Institut für Angewandte Materialien - Werkstoff- und Biomechanik, Werkstoff- und Grenzflächenmechanik
Raw data to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys" The data sets are labelled according to the figures in the manuscript. A2 labels correspond to 32.33Mo-32.33Cr-32.33Ti-3Al (at.%) and B2 labels to 28.33Mo-28.33Cr-28.33Ti-15Al (at.%). x denotes the Al content. Std. denotes standard deviations or conservative error estimates. Tl denotes liquidus temperature, Ts solidus temperature and Tc the ordering temperature. E_Ind is the indentation modulus, E is the Young's modulus. nH is nanohardness, HV is Vickers hardness. Labels with "SR0.05", "SR0.007" and "SR0.001" denote the strain rates of nanohardness testing according to the experimental description in the manuscript. m is the strain rate sensitivity. Rp0.2 is the offset yield strength.
Raw Data to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V1 (videos)
Adaptation of cell spreading to varying fibronectin densities and topographies is facilitated by β1 integrins
Geophysical Institute (GPI), Karlsruhe Institute of Technology (KIT), Germany
This dataset contains shear wave splitting measurements (SWSMs) on SKS, SKKS, and PKS phases at the (semi-) permanent broadband seismological recording stations Black Forest Observatory (BFO), Welschbruch (WLS), Stuttgart (STU), Échery (ECH), Karlsruhe-Durlach (TMO44), and KIT-GPI (TMO07). Splitting parameters (fast polarization direction and delay time) were obtained with the MATLAB package SplitLab (Wüstefeld et al. 2008) simultaneously applying the rotation-correlation method (Bowman & Ando 1987) and the energy minimization method (Silver & Chan 1991). Additionally, the splitting intensity (Chervot 2000) is reported. Only single-event analysis SWSMs of good and fair qualities are reported. Information of the used earthquakes are included. CSV as well as PDF files are provided. Details can be found in the README. The dataset is related to the publication Fröhlich et al. (2024), GJI, https://doi.org/10.1093/gji/ggae245.
YF: Funding from the German States (Landesgraduiertenförderung (LGF))
JR: Deutsche Forschungsgemeinschaft (DFG)
geophysics, seismology, elastic anisotropy, seismic anisotropy, shear wave splitting
Longterm Shear Wave Splitting Measurements in the Upper Rhine Graben Area
This repository contains a curated collection of IEC 61850 Substation Configuration Description (SCD) files, generated and validated in controlled test laboratory environments. The files reflect real-world substation automation and protection system configurations but do not represent live operational systems. They are provided to enable open research and experimentation within the power systems and cybersecurity domains. Each file follows the IEC 61850 Substation Configuration Language (SCL) standard, which defines the XML-based structure for describing substations, devices, communication networks, and logical data models. To assist researchers, key metadata has been extracted and formatted as structured JSON summaries. SCD Files – Complete substation configurations, including multiple IEDs, communication networks, and logical nodes. JSON Metadata – Parsed metadata for each file, containing: * Header details (version, revision, tool ID) * Substation topology (if present) * Communication parameters * IED manufacturer and configuration info * DataTypeTemplates summary (data model definitions) Purpose and Usage The dataset supports research in: Cybersecurity testing and resilience for substation communication networks Interoperability and standard compliance across vendor IEDs Machine learning and automation in configuration management Topology and semantic analysis of IEC 61850 data models Researchers and developers are encouraged to use this dataset for non-commercial academic and research purposes, especially in: Network intrusion detection and anomaly detection models Validation of secure communication architectures Training and testing of IEC 61850 configuration parsers License and Disclaimer This dataset is distributed under an open research license. You are free to use, modify, and share the files for research and educational purposes, provided that proper citation is given. Disclaimer: The files originate from simulated and test bed environments. No operational or confidential power system data is included. Use of this dataset is at your own discretion, and the maintainers assume no liability for derived work.
This dataset contains a collection of IEC 61850 System Configuration Description (SCD) files extracted from substation automation and protection system projects. Each file follows the Substation Configuration Language (SCL) defined in the IEC 61850 standard and encodes detailed engineering metadata for intelligent electronic devices (IEDs), communication networks, and data models used in electric power substations. The dataset was curated to support research and benchmarking in the areas of: Cybersecurity of IEC 61850 Substation systems Metadata from each file (Header, Substation, Communication, IED, and DataTypeTemplates sections) has been parsed and exported into corresponding JSON summaries to facilitate machine-readable search, indexing, and comparative analysis. These files represent complete substation configurations (SCD) created using vendor-specific tools such as RTDS Configurator, SEL AcSELerator, and OMICRON IEDScout. Duplicate and structurally similar files have been identified and documented. Researchers may use this dataset to explore schema variations, conduct cybersecurity experiments, validate SCL structures against IEC 61850 editions, develop interoperability frameworks, or train models for automated configuration management. Sensitive operational data has been excluded to maintain compliance with information-sharing and cybersecurity best practices.
IEC 61850 Data sets (SCD files) and their Metadata
SPARK-Raw provides unprocessed, high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - and a photovoltaic system, recorded at a 5-second sampling rate over one to seven years. Collected at the Campus North of the Karlsruhe Institute of Technology, the dataset includes detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. In contrast to the curated and quality-checked SPARK dataset, SPARK-Raw contains the original, unfiltered measurements in their full temporal and structural detail, offering a transparent foundation for data cleaning, preprocessing, and validation in industrial energy analytics research.
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage.
SPARK-Raw: Unprocessed High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
The dataset follows the directory structure MACHINE/MEASUREMENT/VALUES_PER_YEAR, with all files compressed in .csv.xz format for space-efficient storage. Each data file contains the columns WsDateTime and the corresponding MEASUREMENT values. The accompanying validation folder mirrors this structure and includes, for each dataset, a _stats.csv file summarizing statistical metrics (mean, standard deviation, and quantiles) and a _missing.csv file detailing missing data, gap lengths, and data availability.
This dataset comprises high-resolution electricity measurements from 22 industrial machines - including mills, lathes, chip presses, and pumps - as well as a photovoltaic system, recorded at a 5-second sampling rate over periods ranging from one to seven years. The measurements were collected at the Campus North of the Karlsruhe Institute of Technology and include detailed electrical quantities such as voltages, currents, active and reactive power, harmonics, total harmonic distortion, and frequency. This dataset provides a comprehensive basis for research on industrial energy analytics, power quality, and flexibility assessment.
SPARK: High-Resolution Energy Data from a Sustainable Industrial Production Area in Karlsruhe
Source Data of all Figures of the publication "Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes" published in Energy Storage Materials.
Understanding the Effect of Vinylene Carbonate on SEI Formation, Morphology and Stability on Lithium Metal Anodes (Research Data)
Institut für Quantenmaterialien und -technologien
Understanding the organizing principles of interacting electrons and the emergence of novel electronic phases is a central endeavor of condensed matter physics. Electronic nematicity, in which the discrete rotational symmetry in the electron fluid is broken while the translational one remains unaffected, is a prominent example of such a phase. It has proven ubiquitous in correlated electron systems, and is of prime importance to understand Fe-based superconductors. Here, we find that fluctuations of such broken symmetry are exceptionally strong over an extended temperature range above phase transitions in BaNi$_2$(As$_{1−x}$P$_x$)$_2$ , the nickel homologue to the Fe-based systems. This lends support to a type of electronic nematicity, dynamical in nature, which exhibits a particularly strong coupling to the underlying crystal lattice. Fluctuations between degenerate nematic configurations cause a splitting of phonon lines, without lifting degeneracies nor breaking symmetries, akin to spin liquids in magnetic systems
An Electronic Nematic Liquid in BaNi2As2
Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Processed friction data, wear tracks obtained by confocal microscopy, Raman spectroscopy and SEM images.
Tribological behaviour of a graphite-phenolic resin solid lubricant under high mechanical load
This dataset includes 3D µCT images of nine different specimen of 10 mm \times 10 mm of a carbon fiber reinforced polyamide 6 plaque produced in the long fiber reinforced thermoplastic direct (LFT-D) process. The position of the specimen in the plaque can be learned from the referenced publication (Blarr et al., Implementation and comparison of algebraic and machine learning based tensor interpolation methods applied to fiber orientation tensor fields obtained from CT images, Computational Materials Science, 2022). After small pre-processing steps, the fiber orientation tensor of each of the image stacks is determined with the help of the structure tensor based implementation of Pinter et al. The code can be found here: https://sourceforge.net/p/composight/code/HEAD/tree/trunk/SiOTo/StructureTensorOrientation/FibreOrientation/StructureTensorOrientationFilter.cxx#l186. Hence, nine .dat-files containing the fiber orientation tensor of second order are also included in this dataset. Most importantly, this dataset contains three different Python codes. The author implemented a different interpolation method in each of those codes; two algebraic and one machine learning based one. The component averaging method is the simplest; the decomposition method is mathematically more difficult. It works with the decomposition of the tensor into shape and orientation and subsequent separate invariant and quaternion weighting, before reassembling the then interpolated tensor. The deep learning based method is the only Jupyter notebook in this dataset, where an ANN is implemented for the same interpolation task. Please consider the reference paper mentioned before for details. For the visualization of the tensor glyphs, a Matlab function by Barmpoutis is used, which can be found here: https://de.mathworks.com/matlabcentral/fileexchange/27462-diffusion-tensor-field-dti-visualization.
In the folder "code" there are three Python scripts. The "component_averaging_method.py" and the "decomposition_method.py" work the same: The script needs an input .txt-file with coordinates and the corresponding fiber orientation tensors (the example used in the publication is given (file "Input_file_FOT.txt")). After running the code you are asked in the console for the name of the output file and for lower and upper x and y limit, which are 1 and 13, respectively, in the given case. The scripts then calculate the fiber orientation tensors at all missing positions with the respective method, which are then written into a MATLAB file (which is named the way you input in the console). This MATLAB file is structured in a way that the fiber orientation tensors can be plotted directly with the tensor glyph visualization function of Barmpoutis ("plotDTI") given in the abstract. The Jupyter Notebook "ANN_method.ipynb" works a bit differently as it is an artificial neural network. There, .csv-files are needed as input data. The components of the tensors are given to the network in separate files and the coordinates of the positions in another separate .csv-file. This is all documented in the paper as well. The output again is a .csv-file that has to be transferred into MATLAB if users want to use the same visualization function. The folder "scans_and_FOT" includes all nine scans and respective fiber orientation tensors used for the publication. The scans are given as .mhd- and .raw-files, the orientation tensors are given in the .dat-files. To generate the fiber orientation tensors from the images, the code by Pinter et al., which is given in the abstract, was used. This C++ code writes out a vector valued image with the orientations per voxel. From this, again with another MATLAB file, which composes the orientation tensor from the vector-valued image, these .dat files can be generated. As this is not the main focus of the publication, and the functionality of the python scripts can be verified with the given orientation tensors, this MATLAB script is not part of this dataset. Please consider the paper or contact the author Juliane Blarr for further questions.
3D µCT images of specimens of carbon fiber reinforced polyamide 6 plaque, fiber orientation tensor data of these images, and three Python code files for two different algebraic and one machine learning based tensor interpolation algorithms
Experimental Details: Cyclic voltammetry (CV) experiments were conducted under both ambient conditions (25°C, 101.3 kPa) and elevated pressures (5 bar, 10 bar, and 25 bar). For ambient conditions, a three-electrode glass cell filled with CO2-saturated 0.1 M TBABF4 in acetonitrile electrolyte solution was employed. A polished planar copper disk served as the working electrode. A coiled Pt-wire inserted in a glass tube with a porous glass frit at the bottom acted as the counter electrode and Ag/AgCl as a reference electrode. At elevated pressure, a 316L stainless steel cell was used. Inside the cell, a three-electrode setup consisting of a Cu-foil working electrode, an AgBF4-coated silver wire as quasi-reference, and a platinum gauze counter-electrode was employed. Before the experiment, the cell was filled with the electrolyte (0.1 M TBABF4 in acetonitrile) and purged five times with CO2 (until 6 atm) under constant stirring with a magnet-operated stirrer. Afterward, the cell was filled with CO2 until the desired absolute pressure. The reference potential was adjusted to account for the different Ag/Ag+ reference systems employed in the ambient and high-pressure setups. Cyclic voltammograms were collected for five consecutive cycles for each scan rate between –0.8 V and –2.4 V. Data of the third cycle is provided. Post-iR correction was applied to all CV data to eliminate solution resistance effects. Computational Details: The model was implemented and simulated with the MATLAB 2022b software. The set of differential equations was solved using the ode15 ODE solver function. A finite volume discretization scheme with central difference quotients was applied to discretize the spatial domain into 100 segments with logarithmically increasing cell width. The total thickness of the simulation domain was set to 6 mm. The initial concentrations for each species were set to their bulk concentrations. The *CO2 surface coverage was initially set to equilibrium with the liquid phase. For further details regarding the experimental and computational procedures, please refer to the Supporting Information.
Research Data of Unveiling the Kinetics of CO2 Reduction in Aprotic Electrolyte: The Critical Role of Adsorption
Werkstoffkunde, Karlsruhe Nano Micro Facility
Werkstoffkunde, Graduiertenkolleg 2561: Materials Compounds from Composite Materials
Graduiertenkolleg 2561: Materials Compounds from Composite Materials
This dataset contains the relevant raw data of the submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC" denote data on Cr-37.2Mo and "MSC" on Cr-36.1Mo-3Si (both alloy compositions given in at.%). Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single_sample" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS2 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS4 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS5 = Electron backscatter diffraction maps as fully annotated *.ang file
Raw Data to "Overcoming barriers for high temperature alloys: oxidation and ductility"
Dataset contains INP concentration data measured at Sammaltunturi, Lapland, Finland in 2023. The INP concentration is determined via the Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology (INSEKT) and normalized to the volume of air sampled. Uncertainties represent the 95 % confidence interval and data is provided on a event-based grid, i.e. a new data point is given for each freezing event.
INSEKT, ice nucleation, ice-nucleating particle, INP, Arctic
Data for "Locally emitted fungal spores serve as high temperature ice nucleating particles in the European sub-Arctic" by Gratzl et al. 2025
Institut für Nanotechnologie, Technische Universität Darmstadt
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph emd - Velo
Precipitate-mediated enhancement of mechanical and electrical properties in HPTE-processed Al–Mg–Si alloy
Auflistung und Beschreibung der digitalen Datensätze im Apendix zur Dissertation Regulation von frühen Endosomenpopulationen bei Transportprozessen und der Zellteilung in Ustilago maydis unter 7.11.
Digitale Datensätze zur Dissertation Regulation von frühen Endosomenpopulationen bei Transportprozessen und der Zellteilung in Ustilago maydis
This version 2.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable <xch4>), tropospheric (ground – about 6 km a.s.l., variable <troxch4>), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable <utsxch4>) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.3.1, this version includes data over ocean in glint mode). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively). The only difference of this version 2.0 to the version 1.0 of the fused MUSICA IASI / RemoTeC TROPOMI data set (accessible at https://doi.org/10.35097/689) is the use of TROPOMI RemoTeC operational processing version 2.3.1 (instead of version 2.2.0), which offers among others additional data availability over ocean.
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
Dutch National e-Infrastructure with the support of the SURF cooperative
Remote Sensing, Satellite, Metop, IASI, Sentinel-5 Precursor, TROPOMI, methane, CH4, total column, troposphere, UTLS, data fusion
MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 2.0)
This version 1.0 MUSICA IASI / RemoTeC TROPOMI fused methane data set contains total (ground – top of atmosphere, variable <xch4>), tropospheric (ground – about 6 km a.s.l., variable <troxch4>), and UTLS (upper tropospheric/lower stratospheric, about 6 – 20 km a.s.l., variable <utsxch4>) column-averaged dry-air mole fractions of methane (CH4). The data are obtained by combining the level 2 CH4 profiles and XCH4 total columns (generated from the IASI TIR spectra and the TROPOMI NIR/SWIR spectra, respectively). The level 2 CH4 profiles were generated by the MUSICA processor (version 3.3.0) and the level 2 XCH4 total columns by the RemoTeC processor (operational processing algorithm version 2.2.0). The combination is realized by means of a Kalman filter that uses the MUSICA IASI data as the background and the TROPOMI data as the new observation. Details of the combination method, the IASI and TROPOMI collocation requirements, and the data quality are described in Schneider et al. (2022, https://doi.org/10.5194/amt-15-4339-2022). The data cover an example period for northern hemispheric winter and summer conditions (01 January – 30 January 2020 and 01 July – 30 July 2020, respectively).
MUSICA IASI / RemoTeC TROPOMI fused methane data set (version 1.0)
(Abstract) Numerical data for Figs. 1-4 of the paper "BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice", by D. Valentinis et al. [DOI: 10.1103/PhysRevB.108.L140501], see readme.txt inside the main data folder
BCS to incoherent superconductivity crossover in the Yukawa-Sachdev-Ye-Kitaev model on a lattice - DATA
Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT)
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy" The data contains following file types: *.ang are electron backscatter diffraction datasets in ASCII format *.tif and *.jpg are raw images/micrographs from the manuscript in unedited form *.dat are data from graphs in the manuscript provided in ASCII format with header information about the data Temperatures are provided in °C. Stresses are given in MPa. Strains are given in 1 or % depnding on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
Work package four of the PRESLHY project focuses on ignition phenomena. This report summarises the experimental series E4.3, which focuses on the propensity for an electrostatic charge capable of igniting a hydrogen cloud to be generated during a release, or accidental spill scenario. Seven experiments measuring the electric field of a multiphase hydrogen jet were conducted at the HSE Science and Research Centre. Current measurements on an electrically isolated section of steel pipework were also taken during a total of 30 large scale releases. The results from the plume measurements indicate that the multiphase hydrogen jet itself does not create a significant charge, but certain interactions with the air can cause intermittent spikes in field strength. In particular, air in the pipework being ejected and solidified air forming around the release point, breaking off and flowing downstream appear to be the cause of the electrical fields measured in these experiments. This effect could be larger with different initial conditions either at the nozzle or in the tanker. The wall current measurements were more consistent, as the ability for LH 2 to induce a current on a section of electrically insulated pipework was clearly demonstrated. This charge is a complicated function of the phase of LH 2 in the pipework, the turbulence of the flow, and the resistance to ground of the section of the pipework. Frost formation on the outside of the pipework dynamically changed the resistance to ground throughout each trial, making interrogation of the results difficult. The experiments show that electrostatic charges do pose a credible hazard when considering LH 2 facilities. The charging, however, does not form inside the hydrogen, but on the substances or objects that the hydrogen interacts with. For a fixed facility, maintaining continuity to earth, paying attention to objects in the potential path of a release, would limit the likelihood of electrostatic charging and therefore limit the hazard.
file consists of data from following sensors, obtained during experiments: • rugged field meter IDB systems I • static field meter IDB systems • electrometer • resistance meter station • pipework thermocouples T • pressure sensor • mass flow sensor • near‐field weather station • far‐field wind sensor • far‐field humidity sensor
Summary of experiment series E4.3 (Electrostatic Ignition) results
Figure 1a: X-ray diffractograms for as-prepared, and post-calcined (at 400 °C, 500 °C, 600 °C, and 700°C) Ir-oxide nanoparticles (2theta vs. intensity /a.u.). Figure 1b: X-ray diffractograms for the reference spectrum for the tetragonal rutile IrO2 (JPCD card no. 15-0870), and Ir fcc (COD, 1512514), (2theta vs. intensity /a.u.). Figure 2a: TEM image for the Ir-oxide nanoparticles calcined at 400 °C. Figure 2b: TEM image for the Ir-oxide nanoparticles calcined at 500 °C. Figure 2c: TEM image for the Ir-oxide nanoparticles calcined at 600 °C. Figure 2d: TEM image for the Ir-oxide nanoparticles calcined at 700 °C. Figure 3a: Comparison of the high-resolution Ir 4f spectra obtained from the XPS measurements on Ir-oxide nanoparticles (as-prepared, calcined at 400°C and calcined at 700°C), (binding energy / eV vs. intensity /a.u.). Figure 3b: Comparison of the high-resolution O 1s spectra obtained from the XPS measurements on Ir-oxide nanoparticles (as-prepared, calcined at 400°C and calcined at 700°C), (binding energy / eV vs. intensity /a.u.). Figure 3c: The hydroxide-to-oxide ratio for the post-calcined Ir-oxide nanoparticles. Figure 4: Cyclic voltammograms of the post-calcined Ir-oxide nanoparticles (potential, E vs current density, j). Figure 5a: Measured current densities at E = 1.53 V at 25 mV·s-1, j@1.53V, for all post-calcined Ir-oxide samples (potential, E vs current density, j). Figure 5b: Change in the calculated total surface area of the particles present in the bulk vs. change in j@1.53V when calcination temperature increased (change / % vs calcination change interval). Figure 6: Experimental and simulated CV data (at 200 mV·s-1) for the Ir-oxide nanoparticles calcined at 400 °C, 500 °C, 600 °C, and 700 °C (potential, E vs current density, j). Figure 7a: Experimental and simulated CV curves recorded at the scan rates of 200, 100, 50, and 25 mV·s-1 for the Ir-oxide nanoparticles calcined at 400 °C. Figure 7b: Experimental and simulated CV curves recorded at the scan rates of 200, 100, 50, and 25 mV·s-1 for the Ir-oxide nanoparticles calcined at 500 °C. Figure 7c: Experimental and simulated CV curves recorded at the scan rates of 200, 100, 50, and 25 mV·s-1 for the Ir-oxide nanoparticles calcined at 600 °C. Figure 7d: Experimental and simulated CV curves recorded at the scan rates of 200, 100, 50, and 25 mV·s-1 for the Ir-oxide nanoparticles calcined at 700 °C. Figure 8a: Current density simulated at E=1.53V, j@1.53V-sim, double layer capacitance, Cdl, density of active CUS sites, ρCUS, versus calcination temperatures; values extracted from the simulations for post-calcined Ir-oxide particles. Figure 8b: Current density simulated at E=1.53V, j@1.53V-sim, double layer capacitance, Cdl, versus density of active CUS sites, ρCUS; values extracted from the simulations for the post-calcined Ir-oxide particles. Figure 9a: Comparison of the free reaction energies of all the elementary steps (Step 1−7) of OER on CUS on the post-calcined Ir-oxide nanoparticles (reaction coordinate vs free reaction energy / eV). Figure 9b: Comparison of the activation energies of all the elementary steps (Step 1−7) of OER on CUS on the post-calcined Ir-oxide nanoparticles (reaction coordinate vs activation energy / eV). Figure 9c: Comparison of the interaction energies of all the elementary steps (Step 1−7) of OER on CUS on the post-calcined Ir-oxide nanoparticles (reaction coordinate vs interaction energy / eV). Figure 9d: Comparison of the free reaction energies for the one-electron redox transition on BRI for the post-calcined Ir-oxide nanoparticles (reaction coordinate vs free reaction energy / eV). Figure 9e: Comparison of the activation energies for the one-electron redox transition on BRI for the post-calcined Ir-oxide nanoparticles (reaction coordinate vs activation / eV). Figure 9f: Comparison of the interaction energies for the one-electron redox transition on BRI for the post-calcined Ir-oxide nanoparticles (reaction coordinate vs interaction energy / eV). Figure 9g: Comparison of the bridge site fraction for the post-calcined Ir-oxide nanoparticles. Figure 10a_left: Effective reaction rates of the elementary steps of the OER mechanism on CUS for Ir-oxide nanoparticles calcined at 400 °C (potential, E vs reaction rate, r). Figure 10a_right: Surface coverage of the adsorbed species on CUS for Ir-oxide nanoparticles calcined 400 °C (potential, E vs surface coverage). Figure 10b_left: Effective reaction rates of the elementary steps of the OER mechanism on CUS for Ir-oxide nanoparticles calcined at 700 °C (potential, E vs reaction rate, r). Figure 10b_right: Surface coverage of the adsorbed species on CUS for Ir-oxide nanoparticles calcined 700 °C (potential, E vs surface coverage). Figure_S1a: XRD diffractograms of as-prepared Ir oxide nanoparticles (2theta vs. intensity /a.u.). Figure_S1b: XRD diffractograms of Ir-oxide nanoparticles calcined at 400 °C (2theta vs. intensity /a.u.). Figure_S1c: XRD diffractograms of Ir-oxide nanoparticles calcined at 500 °C (2theta vs. intensity /a.u.). Figure_S1d: XRD diffractograms of Ir-oxide nanoparticles calcined at 600 °C (2theta vs. intensity /a.u.). Figure_S1e: XRD diffractograms of Ir-oxide nanoparticles calcined at 700 °C (2theta vs. intensity /a.u.). Figure_S1f: XRD diffractograms of tabulated reference for tetragonal rutile IrO2 and fcc Ir metal (2theta vs. intensity /a.u.). Figure S2a-d: Electron diffraction results of Ir-oxide samples calcined at a) 400 °C, b) 500 °C, c) 600 °C, and d) 700 °C. Figure S3a: SEM images of Ir-oxide samples calcined 400 °C. Figure S3b: SEM images of Ir-oxide samples calcined 500 °C. Figure S3c: SEM images of Ir-oxide samples calcined 600 °C. Figure S3d: SEM images of Ir-oxide samples calcined 700 °C. Figure S4: a) High-resolution O 1s spectrum of the Ir oxide nanoparticles calcined at 500 °C and 600 °C; b) High resolution C 1s spectrum of the Ir oxide nanoparticles as-prepared and calcined at 400 °C, 500 °C, 600 °C and 700 °C. Figure S5: XPS survey scan of the Ir oxide nanoparticles calcined at a) 700 °C, b) 600 °C, c) 500 °C, d) 400 °C and e) as-prepared. Figure S6a: Experimental CV curves recorded at the scan rates of 200, 100, 50, 25, and 200 mV/s on the iridium oxide nanoparticles calcined 400 °C (potential, E vs current density, j). Figure S6b: ExperimentalCV curves recorded at the scan rates of 200, 100, 50, 25, and 200 mV/s on the iridium oxide nanoparticles calcined 500 °C (potential, E vs current density, j). Figure S6c: ExperimentalCV curves recorded at the scan rates of 200, 100, 50, 25, and 200 mV/s on the iridium oxide nanoparticles calcined 600 °C (potential, E vs current density, j). Figure S6d: ExperimentalCV curves recorded at the scan rates of 200, 100, 50, 25, and 200 mV/s on the iridium oxide nanoparticles calcined 700 °C (potential, E vs current density, j). Figure S7a: Scan rate–normalized CVs for the Ir-oxide samples calcined at 400 °C. Figure S7b: Scan rate–normalized CVs for the Ir-oxide samples calcined at 500 °C. Figure S7c: Scan rate–normalized CVs for the Ir-oxide samples calcined at 600 °C. Figure S7d: Scan rate–normalized CVs for the Ir-oxide samples calcined at 700 °C. Figure S8: Comparison of average current density j versus scan rate for all post-calcined Ir-oxide samples. Figure S9: Surface area–normalized cyclic voltammograms recorded at 200mV/s for the Ir-oxide catalysts calcined at 400 °C, 500 °C, 600 °C, and 700 °C. Figure S10a: Comparison of the experimental and simulated CV curves at the scan rate of 200 mV/s, for the Ir-oxide nanoparticles calcined at 400 °C (potential, E vs current density, j). Figure S10b: Comparison of the experimental and simulated CV curves across all scan rates for the Ir-oxide nanoparticles calcined at 400 °C (potential, E vs current density, j). Figure S10c: Free reaction energy diagram for all elementary steps of the oxygen evolution reaction (OER) at E=0V, E=1.23V, and E=1.6V for the Ir-oxide nanoparticles calcined at 400 °C (reaction coordinate vs free reaction energy / eV). Figure S10d: Identified free reaction energy parameters for steps 1−6 at the electrochemical standard conditions in comparison to DFT-calculated values for the Ir-oxide nanoparticles calcined at 400 °C (reaction step vs free reaction energy / eV). Figure S11a: Comparison of the experimental and simulated CV curves at the scan rate of 200 mV/s, for the Ir-oxide nanoparticles calcined at 500 °C (potential, E vs current density, j). Figure S11b: Comparison of the experimental and simulated CV curves across all scan rates for the Ir-oxide nanoparticles calcined at 500 °C (potential, E vs current density, j). Figure S11c: Free reaction energy diagram for all elementary steps of the oxygen evolution reaction (OER) at E=0V, E=1.23V, and E=1.64V for the Ir-oxide nanoparticles calcined at 500 °C (reaction coordinate vs free reaction energy / eV). Figure S11d: Identified free reaction energy parameters for steps 1−6 at the electrochemical standard conditions in comparison to DFT-calculated values for the Ir-oxide nanoparticles calcined at 500 °C (reaction step vs free reaction energy / eV). Figure S12a: Comparison of the experimental and simulated CV curves at the scan rate of 200 mV/s, for the Ir-oxide nanoparticles calcined at 600 °C (potential, E vs current density, j). Figure S12b: Comparison of the experimental and simulated CV curves across all scan rates for the Ir-oxide nanoparticles calcined at 600 °C (potential, E vs current density, j). Figure S12c: Free reaction energy diagram for all elementary steps of the oxygen evolution reaction (OER) at E=0V, E=1.23V, and E=1.66V for the Ir-oxide nanoparticles calcined at 600 °C (reaction coordinate vs free reaction energy / eV). Figure S12d: Identified free reaction energy parameters for steps 1−6 at the electrochemical standard conditions in comparison to DFT-calculated values for the Ir-oxide nanoparticles calcined at 600 °C (reaction step vs free reaction energy / eV). Figure S13a: Comparison of the experimental and simulated CV curves at the scan rate of 200 mV/s, for the Ir-oxide nanoparticles calcined at 700 °C (potential, E vs current density, j). Figure S13b: Comparison of the experimental and simulated CV curves across all scan rates for the Ir-oxide nanoparticles calcined at 700 °C (potential, E vs current density, j). Figure S13c: Free reaction energy diagram for all elementary steps of the oxygen evolution reaction (OER) at E=0V, E=1.23V, and E=1.68V for the Ir-oxide nanoparticles calcined at 700 °C (reaction coordinate vs free reaction energy / eV). Figure S13d: Identified free reaction energy parameters for steps 1−6 at the electrochemical standard conditions in comparison to DFT-calculated values for the Ir-oxide nanoparticles calcined at 700 °C (reaction step vs free reaction energy / eV). Figure S14a_left: Effective reaction rates of the elementary steps of the OER mechanism for Ir-oxide nanoparticles calcined at 400 °C (potential, E vs reaction rate, r). Figure S14a_right: Surface coverage of the adsorbed species for Ir-oxide nanoparticles calcined 400 °C (potential, E vs surface coverage). Figure S14b_left: Effective reaction rates of the elementary steps of the OER mechanism for Ir-oxide nanoparticles calcined at 500 °C (potential, E vs reaction rate, r). Figure S14b_right: Surface coverage of the adsorbed species for Ir-oxide nanoparticles calcined 500 °C (potential, E vs surface coverage). Figure S14c_left: Effective reaction rates of the elementary steps of the OER mechanism for Ir-oxide nanoparticles calcined at 600 °C (potential, E vs reaction rate, r). Figure S14c_right: Surface coverage of the adsorbed species for Ir-oxide nanoparticles calcined 600 °C (potential, E vs surface coverage). Figure S14d_left: Effective reaction rates of the elementary steps of the OER mechanism for Ir-oxide nanoparticles calcined at 700 °C (potential, E vs reaction rate, r). Figure S14d_right: Surface coverage of the adsorbed species for Ir-oxide nanoparticles calcined 700 °C (potential, E vs surface coverage). Figure S15a: Surface coverage of the bridging hydroxyl (BRI-OH), θ_BRI-OH, for Ir-oxide nanoparticles calcined at 400 °C. Figure S15b: Surface coverage of the bridging hydroxyl (BRI-OH), θ_BRI-OH, for Ir-oxide nanoparticles calcined at 500 °C. Figure S15c: Surface coverage of the bridging hydroxyl (BRI-OH), θ_BRI-OH, for Ir-oxide nanoparticles calcined at 600 °C. Figure S15d: Surface coverage of the bridging hydroxyl (BRI-OH), θ_BRI-OH, for Ir-oxide nanoparticles calcined at 700 °C.
Proton-exchange membrane (PEM) water electrolysis is a critical technology for hydrogen production. The oxygen evolution reaction (OER) kinetics at the anode significantly determines the electrolysis performance, requiring the development of active and stable catalysts for high conversion rates. Despite extensive experimental studies, it is still difficult to fully understand how the catalyst state, i.e., the structure, morphology and oxidation state - which vary by synthesis conditions - affect the OER kinetics and free energies. In this study, we delve into the influence of catalyst calcination on catalyst state and its relationship with OER kinetics by a combination of experimental analysis and microkinetic modeling. Our results show that the increasing degree of crystallinity upon calcination, and thus, the reduced number of active sites is the main reason for the decreasing performance of Ir-oxide nanoparticles. Additionally, water adsorption step becomes thermodynamically more favorable, CUS-mediated PCET and O₂ release are modestly hindered, and the bridge-site redox contribution declines with increasing crystallinity. These subtle, systematic shifts help explain the non-linear structure–activity relationships reported in the literature. This understanding of the interplay between catalyst synthesis conditions and OER performance facilitates the tailored design and optimization of high-performance catalysts for more efficient electrocatalytic water electrolysis.
Understanding the influence of iridium oxide catalyst state on the performance in oxygen evolution reaction
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
The identification and tracking of PVAs$^{-}$ is based on ERA5 reanalysis data on model levels from the European Centre for Medium-Range Weather Forecasts (ECMWF) with a horizontal resolution of 0.5° and a temporal resolution of 3 hours (Hersbach et al., 2020). The following data covering the period 1979 to 2021 are stored in this archive: (1) Fields of upper-tropospheric PV anomalies: A vertical, weighted average is performed based on model level ERA5 data between 500 and 150hPa. Anomalies are calculated based on a 30-day centered running-mean climatology (1979-2021). This variable (vertically-averaged PV anomaly; ‘VAPVA’; in PV Units) is stored in the netCDF files in the archive. (2) Identified negative, upper-tropospheric PV anomaly objects: Due to the interest in their link to atmospheric blocking, negative anomalies as 2D objects (PVAs$^{-}$) are identified using a percentile threshold (described in detail in Hauser et al., 2024). These objects are stored along the fields of upper-tropospheric PV anomalies in the netCDF files in the variable ‘labels’. Note that the label 0 indicates no presence of a PVA$^{-}$ and the labels >0 represent the track ID (see next bullet point). (3) Tracks of PVAs$^{-}$: The tracking of PVAs$^{-}$ is based on contour overlap and considers a handling of splitting and merging events (see Hauser et al., 2023 for details and a schematic figure on the tracking algorithm). Each txt-files in this archive represents the track information for one year. The structure of the file is based on time, i.e. for each point in time it provides information on which track ID is active, and whether it is a new track, the end of a track or a continuation of a track. There is also information on splitting and merging between the previous and current time step. Detailed information on how to read these files is given in the README.txt file in the same archive. (4) Helpful python functions to handle the PVA$^{-}$ tracks: In a jupyter notebook (demonstration.ipynb, demonstration.pdf), we provide some basic functions and an example on how to work with the tracking data, e.g. how to retrieve the lifetime of a PVA$^{-}$ track ID and how to calculate basic characteristics such as center of mass (latitude-longitude coordinates), amplitude, size, etc. along the track. References: Hauser, S., Teubler, F., Riemer, M., Knippertz, P., and Grams, C. M. (2024): Life cycle dynamics of Greenland blocking from a potential vorticity perspective, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2945. Hersbach, H., Bell, B., Berrisford, P., et al (2020): The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society; 146: 1999–2049. https://doi.org/10.1002/qj.3803.
This archive contains identified negative, upper-tropospheric PV anomalies (short: PVAs$^{-}$) and their tracks for the period 1979-2021 over the Northern Hemisphere based on ERA5 reanalysis data and represents the basis for recent publications on atmospheric blocking dynamics (e.g., Oertel et al., 2023; Hauser et al., 2023; Wenta et al., 2024; Hauser et al., 2024). Details on the method to identify and track PVAs- are provided in Hauser et al. (2024). References: Hauser, S., Teubler, F., Riemer, M., Knippertz, P., and Grams, C. M. (2023): Towards a holistic understanding of blocked regime dynamics through a combination of complementary diagnostic perspectives, Weather and Climate Dynamics, 4, 399–425, https://doi.org/10.5194/wcd-4-399-2023 Hauser, S., Teubler, F., Riemer, M., Knippertz, P., and Grams, C. M. (2024): Life cycle dynamics of Greenland blocking from a potential vorticity perspective, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2945. Oertel, A., Pickl, M., Quinting, J. F., Hauser, S., Wandel, J., Magnusson, L., Balmaseda, M. Vitart, F. Grams, C. M. (2023): Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave. Geophysical Research Letters, 50(3). https://doi.org/10.1029/2022GL100958. Wenta, M., Grams, C. M., Papritz, L., and Federer, M. (2024): Linking Gulf Stream air–sea interactions to the exceptional blocking episode in February 2019: a Lagrangian perspective, Weather and Climate Dynamics, 5, 181–209, https://doi.org/10.5194/wcd-5-181-2024.
Allgemeines, Hochschulwesen, Wissenschaft und Forschung
Tracks of negative upper-tropospheric PV anomalies (PVAs$^{-}$) over the Northern Hemisphere in ERA5 reanalysis (1979-2021)
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS7-1489 located at Rittner Horn, Italy (46.615651°N, 11.460197°E, 2265 m) during the TEAMx field campaign from May to August 2025. For the wind profile calculation, DBS scans at 62° elevation are used. The maximum vertical measurement height is 350m AGL. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Rittner Horn, TEAMx, Level 2 wind profiles
Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
Graduiertenkolleg 2561: Materials Compounds from Composite Materials (GRK 2561), Karlsruher Institut für Technologie (KIT)
This dataset contains the relevant data of the submission "A ductile chromium-molybdenum alloy resistant to high temperature oxidation". All files highlighted by "MC" denote data on Cr-37.2Mo and "MSC" on Cr-36.1Mo-3Si (both alloy compositions given in at.%). Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = Area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single_sample" is not averaged but determined on a single specimen Fig2b = Engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = True work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3a and b = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig3c = Atom probe tomography data in the form of Cameca proprietary data file format Fig4 = Electron backscatter diffraction maps as fully annotated *.ang file FigE1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigE3 = Engineering stress-strain curves (in MPa and 1, respectively) for room temperature FigE4 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigE5 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigE6 = Time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm) FigE7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "A ductile chromium-molybdenum alloy resistant to high temperature oxidation"
Institut für Thermische Strömungsmaschinen
This repository contains the supplementary data to our contribution "Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry" to the 2022 Measurement Science and Technology special issue on the topic “Machine Learning and Data Assimilation techniques for fluid flow measurements”. This data includes annotated images used for the training of neural networks for particle detection on DPTV recordings as well as unannotated particle images used for training of the image-to-image translation networks for the generation of refined synthetic training data, as presented in the manuscript. The neural networks for particle detection trained on the aforementioned data are contained in this repository as well. An explanation on the use of this data and the trained neural networks, containing an example script can be found on GitHub (https://github.com/MaxDreisbach/DPTV_ML_Particle_detection)
Defocusing Particle Tracking Velocimetry
Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry (data)
All data is provided as txt files named corresponding to the figure it is used in.
Research Data of the Publication *DRT-based impedance analysis of two-phase flow conditions in PEM water electrolyzer cells*
The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows: XX_XX_YYMMDDHHMMSS_XX_XX. Here X is some identifier, which is not important in this context. The dataset is especially suited to investigate the development of surface defects on ball screw drive spindles. The dataset mainly addresses the machine learning research community for engineering and computer science to build intelligent models for surface defect detection and forecasting in the context of prognostics and health management (PHM). Each folder consists the evolution of one pit.
Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Prognostics and Health Management Systems
EDL - Low-frequency Noise Characteristics of Inkjet-Printed Electrolyte-gated Thin-Film Transistors
Processed micro-tomographic scan of the ant Pheidole noda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera greadowi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys emmae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Fulakora armigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyergus rufescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica polyctena, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data set of 7 figures in one EXCEL file.
Electronic transport in reactively sputtered Mn3GaN films prepared under optimised nitrogen flow
Processed micro-tomographic scan of the ant Acanthostichus aff brevicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium bicarinatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica longiseta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The dataset includes the cloud type and cloud cover at 85 different stations in western Central Africa. On the one hand, the dataset contains the original values as well as homogenized values.
This dataset consists of cloud fraction and cloud genus data from 85 stations in western Central Africa from 1971-2019. The database is based on the following databases: Extended Edited Synoptic Cloud Reports Archive (EECRA), Integrated Surface Dataset (ISD), Met Office Integrated Data Archive System (MIDAS), and the African Monsoon Multidisciplinary Analysis (AMMA). The dataset starts on 1st May 1971, covers 3 hourly the months May to October and ends on 31st October 2019. The variables in the dataset cover the cloud fraction, cloud type, homogenized cloud fraction, and a flag for the variables where its origin is. The homogenization of the dataset is discribed in Moron et al. (2022, submitted) and in the meta data discreption of the NetCDF file.
Der Datensatz beinhaltet den Wolkentyp und die Wolkenbedeckung von synoptischen Wetteraufzeichnungen an 85 verschiedenen Stationen im westlichen Zentralafrika. Einerseits beinhaltet der Datensatz die originalen Werte wie auch homogenisierte Werte.
Cloud observing data of 85 stations in western Central Africa
The published source data file contains the underlying data of all figures of the manuscript of the publication “Impact of electrolyte impurities and SEI composition on battery safety”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Numerical details: The model was implemented in MATLAB R2022a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-9750H CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
Li-ion batteries have a potential risk of thermal runaway. Current safety evaluations in academia and industry rely on experiments or semi-empirical simulations. This limits the understanding of processes leading to or occurring during thermal runaway, and how chemical species and impurities can impact them. The limited (quantitative) understanding in turn hinders a holistic safety assessment and optimisation of countermeasures through design or operation. The here presented thermal-runaway model contains a detailed degradation reaction network, which allows the impact of chemical species and impurities on thermal runaway to be studied. We set a particular focus on water impurities and solid-electrolyte interphase (SEI) properties, as both are known to impact life-time of batteries. SEI composition and thickness change during ageing, which is shown here to impact battery safety significantly. The model can reproduce reported experimental behaviour: aged cells are more safe, as they start self-heating, i.e. heat production without an external heat source, at 15–20 °C higher temperatures than fresh cells. Our model suggests a thick inorganic, and thus less reactive SEI as the underlying cause. Furthermore, we could show that extensive electrode drying to remove water impurities before building battery cells will not significantly improve safety characteristics. In contrast, electrodes not subjected to any drying procedure cause an earlier start of the self-heating phase, i.e. have a higher risk of thermal runaway. These insights into the sensitivity to thermal runaway allow robust methods to be tailored for its prevention, from controlling battery and SEI properties during production to adjusting safety assessment for effects of ageing.
Impact of electrolyte impurities and SEI composition on battery safety
Processed micro-tomographic scan of the ant Microdaceton tibialis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium amentete, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Diese Software umfasst ein Python-Skript, das für die automatische Generierung mehrerer spezieller Druckseiten verwendet wird. Mittels Design of Experiments (DoE) generiert das Programm eine Liste aller möglichen Kombinationen der Grundfarben Cyan (C), Magenta (M) und Gelb (Y), die mit einer variabel einstellbaren Anzahl von Schichten übereinander gedruckt werden sollen. Die Farben der einzelnen Schichten werden dafür platzsparend auf mehrere Druckseiten verteilt.
This software includes a Python script that is used for the automatic generation of several special print pages. Using Design of Experiments (DoE), the program generates a list of all possible combinations of the basic colors cyan (C), magenta (M) and yellow (Y), which are to be printed on top of each other with a variably adjustable number of layers. The colors of the individual layers are distributed over several print pages to save space.
# General Information This Python script is used for the automatic generation of several special print pages. These print pages are combined to create a specific amount of samples. The description of there samples are as follows: The base colors of a commercial printer (Cyan (C), Magenta (M) and Yellow (Y)) are subsequently printed on top of each other. An example would be the sample CCMMYY where there are six layers in total and the base colors are layered from left to right. A graphical representation of there samples can be reviewed in the attached PDF document "concept_art_printing". # Background The print samples are designed to be analyzed in two US/vis spectroscopy setups. Samples that are analyzed by an UV/vis reflection measurement are bigger then samples analyzed in a UV/vis extinction setup. For each setup, a separate version of the script is published. The colors of the individual layers are distributed over several print pages to save space. To create a set of samples, a print page series must be printed (one by one) on a sheet of substrate with a DIN A4 form factor. The amount of print page series are tied to the layer count of the samples. This is because a full factorial DoE aims to generate all possible color combinations of C, M and Y for the set number of layers. # Additional package dependencies 1. numpy 2. matplotlib 3. pyDOE2
Python Program for generating Multi Layer CMYK Base Color Print Pages
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax michali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara atoma, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the original data for the article Thomas, J., Barrett, A., and Hoose, C.: Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-740, 2022, accepted for publication in Atmospheric Chemistry and Physics. The folder data contains simulation output. Folder names correspond to the temperature and CCN perturbations as in the article. 3d-Fields for the reference simulation (PB-T-500) can be obtained from the authors upon request. Some data, such as rain water flux and average hydrometoer content, has been preprocessed in order to minimize the file size. Link to openstreetmap (Fig. 2b): http://share.mapbbcode.org/sqaev
Research data for "Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood"
Dataset of the paper titled Miniaturization and Optimization of NMR Shimsets Allow Efficient Field Shimming
Miniaturization and Optimization of NMR Shimsets Allow Efficient Field Shimming-Dataset
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU)
Research Institute of Meteorology and Water Resources (FUNCEME)
das Chagas Vasconcelos Júnior, Francisco
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research - Department Troposphere Research (IMK-TRO)
In semi-arid regions, interannual variability of seasonal rainfall and climate change is expected to stress water availability and increase the recurrence and intensity of extreme events such as droughts or floods. Local decision makers therefore need reliable long-term hydro-meteorological forecasts to support the seasonal management of water resources, reservoir operations and agriculture. In this context, an Ensemble Kalman Filter (EnKF) framework is applied to predict sub-basin-scale runoff employing global freely available datasets of reanalysis precipitation (ERA5-Land) as well as Bias-Corrected and Spatially Disaggregated seasonal forecasts (SEAS5-BCSD). Runoff is estimated using least squares predictions, exploiting the covariance structures between runoff and precipitation. This repository contains the runoff observations, the final EnKF-based runoff predictions, reference precipitation from ERA5-Land, bias-corrected and spatially disaggregated seasonal precipitation forecats from SEAS5-BCSD as well as shapefiles delineating the sub-basin-boundaries within the Rio São Francisco River Basin.
Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin
These data are related to the results of simulation chamber experiments conducted in the AIDA simulation chamber at KIT with secondary organic aerosol generated by oxidation of beta-pinene as described in the publication by Gong et al., in Atmosperic Chemistry and Physics in 2023 (doi.org/10.5194/egusphere-2023-1425).
Stabilized Criegee intermediates (SCIs) and organic peroxy radicals (RO2) are critical in atmospheric oxidation processes and secondary organic aerosol (SOA) formation. However, the influence of temperature on their corresponding reaction mechanisms in SOA formation is unclear. Through utilizing formic acid as SCIs scavenger and regulating the ratio of hydroperoxyl radials (HO2) to RO2 ([HO2]/[RO2]) from ~0.3 to ~1.9 using different concentrations of CO, the roles of RO2 and SCIs in SOA formation were investigated from 248 K to 298 K, particularly for dimers formation in β-pinene ozonolysis. The SOA yield increased by 21% from 298 K to 273 K, while decreased by 40% from 273 K to 248 K. Both changing [HO2]/[RO2] and scavenging SCIs significantly affect SOA yield and composition. SCIs reactions accounted for more than 40% of dimers and SOA mass formation for all temperatures. Increasing [HO2]/[RO2] inhibited dimers and SOA formation, and this inhibition became larger with decreasing temperature. Compared to low [HO2]/[RO2] (0.30–0.34), the dimers abundance at high [HO2]/[RO2] (1.53–1.88) decreased by about 31% at 298 K and 70% at 248 K. [HO2]/[RO2] has a specific impact on SCIs-controlled dimers at lower temperatures by influencing especially the C9-SCIs reactions with RO2. The dimers formed from C9-SCIs reactions with RO2 were estimated to decrease by 61% at high [HO2]/[RO2] compared to low [HO2]/[RO2] at 248 K. The high reactivity and substantial contribution to SOA of β-pinene-derived SCIs at lower temperatures observed in this study suggest that monoterpene-derived SCIs reactions should be accounted for in describing colder regions of the atmosphere.
Impact of temperature on the role of Criegee intermediates and peroxy radicals in dimers formation from ß-pinene ozonolysis
This study aims to identify model parameters describing atmospheric conditions such as wind shear and CCN concentration which lead to large uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of six uncertain input parameters on cloud properties (vertically integrated content of six hydrometeor classes), precipitation and the size distribution of hail. This dataset contains the processed model output and the generated emulators for three trigger mechanisms of deep convection (warm bubble, cold pool, orography).
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions
Multi-photon 3D laser micro-printed plastic scintillators for applications in low-energy particle physics
The data comprise eleven tables containing low-temperature infrared refractive indices for crystalline ammonium nitrate. The syntax of the file names and the contents of the tables are explained in the additional text file "info.txt". The tables with the refractive index data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "High-resolution optical constants of crystalline ammonium nitrate for infrared remote sensing of the Asian Tropopause Aerosol Layer" by Wagner et al. (2021) in Atmospheric Measurement Techniques
This database consists of experimental data acquired for the investigation of a prefilming airblast atomizer under oscillating airflow. Datasets of the airflow measured with a hot wire CTA are attached, as well as spray droplet characteristics measured with PDA. Explanation of what the data represent is provided in .txt files attached as well.
Experimental Dataset of the PhD Dissertation on Airblast Atomization
MIPAS/Envisat yearly global mean profiles of SF6 V2
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA), Dortmund
Fakultät für Chemie und Biowissenschaften (CHEM-BIO), Karlsruher Institut für Technologie (KIT)
Fourier-transform infrared (FT-IR) data of pristine PVdF and PVdC powders and soaked in AlCl3:EMImCl PVdF and PVdC. Raman data of PVdF and PVdC powders. Furthermore, in AlCl3:EMImCl ionic liquid soaked PVdF and PVdC. 19F-NMR (nuclear magnetic resonance) data of ionic liquid electrolyte (black liquid) after soaking PVdF for 1 hour and electrolyte soaked for 12 hours. Galvanostatic cycling with potential limitation (GCPL) data in the potential window of 0.30 V-2.30 V at a current density of 20 mA.g-1 of PVdF- and PVdC-based graphite positive electrodes at different cycle numbers. Corresponding cyclic voltammograms (CVs) data with a scan rate of 0.20 mV.s-1 at different cycles.
Rechargeable Aluminum Batteries (RABs) use a Lewis acidic Aluminum chloride (AlCl3) and 1-Ethyl-3-methylimidazolium chloride (EMImCl) ionic liquid electrolyte. Electrode fabrication often relies on procedures from Lithium-Ion Batteries (LIBs), including the use of Polyvinylidene fluoride (PVdF) as a binder. However, PVdF reacts with Al2Cl7- in the RAB electrolyte, making it unsuitable for new battery types. The literature lacks details on the products formed, changes in the ionic liquid electrolyte, and the implications for electrochemical performance. With potential European Chemical Agency (ECHA) restrictions on per- and polyfluoroalkyl substances (PFAS) by 2025, Polyvinylidene chloride (PVdC) is being explored as an alternative binder. In contact with AlCl3:EMImCl (1.50:1.00) electrolyte, both, PVdF and PVdC transform into amorphous carbon during dehydrofluorination (DHF) and dehydrochlorination (DHC), respectively, as confirmed by Raman spectroscopy. Furthermore, via 19F-NMR, it is shown that the reaction time between the soaked polymers and the ionic liquid has a significant influence on the newly formed aluminum chlorofluoride (ACF) complexes. Electrochemical tests of graphite-based electrodes indicate increasing specific capacity of PVdF compared to PVdC with a continuous number of cycles. Amorphous carbon can prevent the disintegration of graphite and enhance conductivity. Furthermore, newly formed AlF4- can run a co-intercalation and lead to increasing specific capacity.
Side-Reactions of Polyvinylidene Fluoride and Polyvinylidene Chloride Binders with Aluminum Chloride-Based Ionic Liquid Electrolyte in Rechargeable Aluminum-Batteries
The research data is structured with respect to the Figure numbers in the manuscript. Figure_2: Synthesis of PANI and PANI@ZF composite electrodes Figure_3: XRD-analysis of all synthesized composite electrodes and reference sprectra Figure 4: FT-IR data of all synthesized composite electrodes Figure 5: SEM images of PANI and PANI@ZF composite electrodes Figure 6: Electrochemical analysis: a) CV of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; b) PANI@ZF3 at different scan rates; c) tafel plots of PANI@ZF3; d) specific capcitances calculated by CV spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; e) Galvanostatic charge/discharge experiments of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3; f) galvanostatic charge/discharge experiments at different current densities for PANI@ZF3; g) specific capacitances for PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3 at different current densities FIgure 7: a) Ragone diagram of PANI@ZF3 as symmetrical supercapacitor; b) coulombic efficiency of PANI@ZF3 at different current densities during galvanostatic charge/discharge Figure 8: a) Charge/Discharge cycles of PANI@ZF3 at different cycling numbers; b) specific capacitance of PANI@ZF3 over varying cyclinc numbers Figure 9: Impedance spectra at different SOC: a) SOC = 0; b) SOC = 50; c) SOC = 100; d) comparison of all spectra Figure 10: Impedance spectra at different cycle numbers: 2000, 4000, 8000, and 10000 cycles Figure to table A2: EDX spectra of PANI, PANI@ZF1, PANI@ZF2 and PANI@ZF3
Conducting polymer-metal oxide hybrids are promising electrode materials for supercapacitors, yet achieving a balance between high capacitance and long-term stability remains challenging. In this work, polyaniline (PANI) - zinc ferrite (ZnFe₂O₄) composites were synthesized by in situ electrochemical polymerization of aniline with controlled deposition duration for ZnFe2O4-nanoparticle incorporation. Structural and spectroscopic characterization confirmed uniform dispersion of ZnFe2O4 within the polymer matrix and the formation of fibrous nanostructures. Electrochemical analysis revealed a progressive enhancement of redox activity and charge storage with increasing ZnFe2O4 content. The optimized composite exhibited a specific capacitance of up to 1402 F g⁻¹ at 1 A g⁻¹, together with an energy density of 141.9 Wh kg⁻¹ and a power density of 404.9 W kg⁻¹. When assembled into a symmetric supercapacitor, the PANI-zinc ferrite composite retained 97.6% of its initial capacitance after 10,000 charge–discharge cycles. Electrochemical impedance spectroscopy further indicated that structural degradation under accelerated aging is primarily associated with particle and polymer chain cracking/breaking, leading to increased mass transport resistance, thereby reducing the energy storage capability.
Investigation of Energy Storage Performance and Cycling Stability of Electrochemically Synthesized PANI–ZnFe2O4 Electrodes
Karlsruhe Institute of Technology (KIT), Geophysical Institute
Gif ﬁles (also with pdf versions) that demonstrate the trade-oﬀ problem, so how the values of tidal parameters change for different trade-off parameter, with indication of the point on the curve. This is the presentation of Figs. 1-3 (main paper), extended. Six different movies correspond to three different iterations, model parameters ordered with increasing amplitudes and frequency, separately. The analysis was performed on gravity records from 11.5 years of superconducting gravimeter at the BFO (SG056-L sensor). For details see original paper and its suplementary file: https://doi.org/10.1007/s00190-023-01770-w
Animated gifs and corresponding pdfs for trade-off problem for Regularization in Tidal Analysis (RATA)
Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The data consists of: 1. mean values of joint angles and handle interaction forces (grip and push force) over time and RMS values of muscle activation for each drilling measurement for 3 subjects, categorized into handle configurations (handle position & orientations was varied) 2. Median and 1st & 3rd quartile values of joint angles and muscle activation across the 3 subjects and its graphical illustration (plots) showing deviations of joint angles and muscle activation of the shoulder-arm system (plots uploaded are an addition to the results of the paper mentioned above)
The data belongs to the contribution "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study" Rack, R.; Sutschet, S., Bengler, K.; Matthiesen, S. The dataset contains: 1. .xslx-files: a. mean joint angles (shoulder abduction / adduction, shoulder flexion / extension, shoulder rotation, elbow flexion / extension, elbow rotation, wrist abduction / adduction, wrist flexion / extension), force data (grip and push forces at the hammer drill main and side handle) and RMS of muscle activation (deltoid anterior, deltoid lateral, deltoid posterior, trapezius, biceps, triceps, flexor carpi radialis, extensor carpi radialis) over time per drilling measurement, for 3 subjects,, 3 drilling measurement per handle configuration b. median, 1st & 3rd quartile values joint angles, handle forces, muscle activation across all subjects for each hammer drill handle configuration 2. .png-files: Graphical illustration of data (1b), as an addition to the results shown in the paper mention above
Experimental data and additional evaluation for the paper "Influence of disruptive design changes of a hammer drill on user posture and muscle stress - An exploratory study"
Fig. 1a: X-ray diffraction pattern, 2Theta Angle in ° and intensity in 1 Fig. 1b: Differential scanning calorimetry data, temperature in °C and temperature derivative of enthalpy in J/(K g) as *.xlsx files Fig. 1c: Electron backscatter diffraction data as *.osc TSL/EDAX file Fig. 1d and e: Backscattered electron contrast micrographs as *.tiff files Fig. 2: Backscattered electron contrast micrographs as *.tiff files Fig. 3: Atom probe tomography data as Cameca raw files Fig. 4: Scatter data, time in h and radius in nm as well as relative solvus temperaure in 1 and coarsening rate in nm³/h Fig. 5: Secondary electron contrast micrographs as *.tiff files
Coarsening Refractory high entropy alloys Ripening B2 precipitates 2024-033-032157 2025-034-032388 FIB APT
Data from "Ultra-Slow Coarsening in Precipitation-Strengthened Refractory High-Entropy Alloys" (R.J. Vikram et al., initial submission)
Institut für Programmstrukturen und Datenorganisation
Institut für Prozessdatenverarbeitung und Elektronik
Institut für Industriebetriebslehre und Industrielle Produktion
Institut für Automation und angewandte Informatik
This dataset was published as part of a paper submitted at the "International Workshop on Energy Data and Analytics" at ACM e-Energy 2022 with the title "High Resolution Real-World Electricity Data from Three Microgrids in the Global South" in which the data set is described. Further explanations can be found in the file "Symbols_Units_Explanations".
Microgrids are a promising solution for providing electricity access to rural populations in the Global South. To ensure such microgrids are affordable and effective, careful planning and dimensioning is required. Numerous tools exist to assist with this planning and dimensioning, however, they generally require microgrid electricity data, such as load profiles, as an input. Unfortunately, such electricity data is scarce for microgrids in the Global South and the little data that is available has a low temporal resolution. Therefore, we introduce high resolution real-world electricity data from three microgrids in the global south. The data is collected from microgrids in the Democratic Republic of Congo, Rwanda, and Haiti, and has a temporal resolution of up to five seconds. Furthermore, we include data from both residential and industrial microgrids, and consider microgrids with renewable generation from hydropower and photovoltaic arrays. We describe and analyse the characteristics of the recorded data and show how it can be used to derive flexible load profiles with varying temporal resolutions, useful for affordable microgrid planning and dimensioning.
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Karlsruhe Institute of Technology, IMK-ASF
During World War II, the German Kriegsmarine and Luftwaffe operated between 1941 and 1945 a series of weather stations in Svalbard to obtain information on synoptic weather situations in the Arctic. These activities included also some of the first automatic weather stations. With a few exceptions, the meteorological observations from these military stations are considered as lost. Most of these observations could now be retrieved from weather maps of the German “Zentrale Wetterdienstgruppe” (ZWG) that are preserved in the archive of the Deutsche Wetterdienst. Reports of surface pressure and temperature have been digitized for the military weather stations “Bansö” in 1941/42, “Knospe” in 1941/42, “Nussbaum” in 1942/43, “Kreuzritter” in 1943/44, “Svartisen” 1943/44, as well as some automatic weather stations operated on Svalbard. This data set contains station data of surface temperature and sea level pressure in Station Exchange Format (SEF).
Historical meteorological observations from military weather stations on Svalbard, 1941-1944
Data as published in Figures 1-5 of the corresponding manuscript.
We investigate lattice dynamics in LaCoO₃ using inelastic neutron and x-ray scattering over T = 2–650 K, spanning the spin-state crossover at T₁ ≈ 100 K and the insulator–metal transition at T₂ ≈ 550 K. Comparison with quasi-harmonic ab-initio lattice-dynamical calculations helps reveal anomalous softening of a ≈10-meV oxygen phonon, confined to the temperature interval T₁ ≤ T ≤ T₂ and localized in momentum space at qSSO = (½,½,½)c. This wave vector corresponds to the spin-state ordering originally proposed by Goodenough [J. Phys. Chem. Solids 6, 287-297 (1958)]. Our results therefore provide momentum-resolved evidence for dynamic correlations of high-spin and low-spin Co³⁺ states in LaCoO₃, linking spin-state fluctuations to anomalous phonon renormalization.
Phonons reflect dynamic spin-state order in LaCoO$_3$
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V5 (videos)
This dataset contains 14 converted Microscopy datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. ================================================================================ DATASET LICENSE AND CITATION SUMMARY ================================================================================ -------------------------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- BBBC010: CC0 1.0 BBBC038: CC0 1.0 BBBC041SEG: MIT License BRIFISEG: CC-BY 4.0 CCAGT: CC-BY-NC 3.0 EMDS_6: CC-BY 4.0 FLUORESCENT_NEURONAL_CELLS: CC-BY 4.0 OCCISC: "the database used in this challenge is currently publicly available" PCMMD: CC-BY 4.0 SLIMIA: CC-BY 4.0 SSTEM: CC BY-NC-SA 3.0 VICAR: CC-BY 4.0 WBC: GPL-3.0 YEAZ: CC-BY 4.0 ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] BBBC010 ---------------------------------------- License: CC0 1.0 Dataset link: https://bbbc.broadinstitute.org/BBBC010 Metadata file: Microscopy/BBBC010/metadata.json Citation (bibtex): @article{moy2009high, title={High-throughput screen for novel antimicrobials using a whole animal infection model}, author={Moy, Terence I and Conery, Annie L and Larkins-Ford, Jonah and Wu, Gang and Mazitschek, Ralph and Casadei, Gabriele and Lewis, Kim and Carpenter, Anne E and Ausubel, Frederick M}, journal={ACS chemical biology}, volume={4}, number={7}, pages={527--533}, year={2009}, publisher={ACS Publications} } ---------------------------------------- [2] BBBC038 ---------------------------------------- License: CC0 1.0 Dataset link: https://bbbc.broadinstitute.org/BBBC038 Metadata file: Microscopy/BBBC038/metadata.json Citation (bibtex): @article{caicedo2019nucleus, title={Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl}, author={Caicedo, Juan C and Goodman, Allen and Karhohs, Kyle W and Cimini, Beth A and Ackerman, Jeanelle and Haghighi, Marzieh and Heng, CherKeng and Becker, Tim and Doan, Minh and McQuin, Claire and others}, journal={Nature methods}, volume={16}, number={12}, pages={1247--1253}, year={2019}, publisher={Nature Publishing Group US New York} } ---------------------------------------- [3] BBBC041SEG ---------------------------------------- License: MIT License Dataset link: https://github.com/Deponker/Blood-cell-segmentation Metadata file: Microscopy/BBBC041SEG/metadata.json Citation (bibtex): title={Automatic segmentation of blood cells from microscopic slides: a comparative analysis}, author={Depto, Deponker Sarker and Rahman, Shazidur and Hosen, Md Mekayel and Akter, Mst Shapna and Reme, Tamanna Rahman and Rahman, Aimon and Zunair, Hasib and Rahman, M Sohel and Mahdy, MRC}, journal={Tissue and Cell}, volume={73}, pages={101653}, year={2021}, publisher={Elsevier} } ---------------------------------------- [4] BRIFISEG ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/7195636 Metadata file: Microscopy/BRIFISEG/metadata.json Citation (bibtex): @article{mathieu2022brifiseg, title={Brifiseg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield images}, author={Mathieu, Gendarme and Bachir, El Debs and others}, journal={arXiv preprint arXiv:2211.03072}, year={2022} } ---------------------------------------- [5] CCAGT ---------------------------------------- License: CC-BY-NC 3.0 Dataset link: https://data.mendeley.com/datasets/wg4bpm33hj/2 Metadata file: Microscopy/CCAGT/metadata.json Citation (bibtex): @data{Amorim_CCAgT_Images_of_2022, author = {Atkinson Amorim and João Gustavo and André Matias and Tainee Bottamedi and Vinícius Sanches and Ane Francyne Costa and Fabiana Onofre and Alexandre Onofre and Aldo Wangenheim}, title = {CCAgT: Images of Cervical Cells with AgNOR Stain Technique}, publisher = {Mendeley Data}, year = {2022}, version = {V2}, doi = {10.17632/wg4bpm33hj.2}, url = {https://doi.org/10.17632/wg4bpm33hj.2} } ---------------------------------------- [6] EMDS_6 ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/EMDS-6/17125025/1?file=31660352 Metadata file: Microscopy/EMDS_6/metadata.json Citation (bibtex): @article{Group2021, author = "MIaMIA Group", title = "{EMDS-6}", year = "2021", month = "12", url = "https://figshare.com/articles/dataset/EMDS-6/17125025", doi = "10.6084/m9.figshare.17125025.v1" } ---------------------------------------- [7] FLUORESCENT_NEURONAL_CELLS ---------------------------------------- License: CC-BY 4.0 Dataset link: https://amsacta.unibo.it/id/eprint/7347/ Metadata file: Microscopy/FLUORESCENT_NEURONAL_CELLS/metadata.json Citation (bibtex): @misc{amsacta7347, publisher = {University of Bologna}, year = {2024}, title = {Fluorescent Neuronal Cells v2}, url = {https://amsacta.unibo.it/id/eprint/7347/}, abstract = {Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the corresponding ground-truth annotations, designed to foster innovative research in the domains of Life Science and Deep Learning. This dataset encompasses three image collections wherein rodent neuronal cell nuclei and cytoplasm are stained with diverse markers to highlight their anatomical or functional characteristics. Specifically, we release 1874 high-resolution images alongside 750 corresponding ground-truth annotations for several learning tasks, including semantic segmentation, object detection and counting. The contribution is two-fold. First, thanks to the variety of annotations and their accessible formats, we envision our work would facilitate methodological advancements in computer vision approaches for segmentation, detection, feature learning, unsupervised and self-supervised learning, transfer learning, and related areas. Second, by enabling extensive exploration and benchmarking, we hope Fluorescent Neuronal Cells v2 would catalyze breakthroughs in fluorescence microscopy analysis and promote cutting-edge discoveries in life sciences. For more information, please refer to Clissa, L. et al., 2024. Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy. Scientific data. https://doi.org/10.1038/s41597-024-03005-9. This research was partly funded by PNRR - M4C2 - Investimento 1.3, Partenariato Esteso PE00000013 - "FAIR - Future Artificial Intelligence Research" - Spoke 8 "Pervasive AI" and the European Commission under the NextGeneration EU programme. The collection of original images was supported by funding from the University of Bologna and the European Space Agency (Research agreement collaboration 4000123556).}, keywords = {semantic segmentation; object detection; object counting; neuronal cells; fluorescent microscopy}, author = {Clissa, Luca and Occhinegro, Alessandra and Piscitiello, Emiliana and Taddei, Ludovico and Macaluso, Antonio and Morelli, Roberto and Squarcio, Fabio and Hitrec, Timna and Di Cristoforo, Alessia and Luppi, Marco and Amici, Roberto and Cerri, Matteo and Bastianini, Stefano and Berteotti, Chiara and Lo Martire, Viviana and Martelli, Davide and Tupone, Domenico and Zoccoli, Giovanna} } ---------------------------------------- [8] OCCISC ---------------------------------------- License: "the database used in this challenge is currently publicly available" Dataset link: https://cs.adelaide.edu.au/~carneiro/isbi14_challenge/dataset.html Metadata file: Microscopy/OCCISC/metadata.json Citation (bibtex): @article{lu2016evaluation, title={Evaluation of three algorithms for the segmentation of overlapping cervical cells}, author={Lu, Zhi and Carneiro, Gustavo and Bradley, Andrew P and Ushizima, Daniela and Nosrati, Masoud S and Bianchi, Andrea GC and Carneiro, Claudia M and Hamarneh, Ghassan}, journal={IEEE journal of biomedical and health informatics}, volume={21}, number={2}, pages={441--450}, year={2016}, publisher={IEEE} } ---------------------------------------- [9] PCMMD ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/3v2nrxpr9s/1 Metadata file: Microscopy/PCMMD/metadata.json Citation (bibtex): @data{Andrade_PCMMD_Plasma_Cells_2024, author = {Caio Andrade and Marcos Ferreira and Brenno Alencar and Jorge Batista Filho and Matheus Guimarães and Iarley Moraes and Tiago Lopes and Allan dos Santos and Mariane dos Santos and Maria da Silva e Silva and Izabela Rosa and Gilson de Carvalho and Herbert Santos and Marcia Santos and Roberto Meyer and Luciana Knop and Songeli Freire and Ricardo Rios and Tatiane Nogueira}, title = {PCMMD: Plasma Cells for Multiple Myeloma Diagnosis}, year = {2024}, publisher = {Mendeley Data}, version = {V1}, doi = {10.17632/3v2nrxpr9s.1}, url = {https://doi.org/10.17632/3v2nrxpr9s.1} } ---------------------------------------- [10] SLIMIA ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/collections/The_Spheroid_Light_Microscopy_Image_Atlas_SLiMIA_for_morphometrical_analysis_of_three_dimensional_cell_cultures/7486311 Metadata file: Microscopy/SLIMIA/metadata.json Citation (bibtex): @article{blondeel2025spheroid, title={The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures}, author={Blondeel, Eva and Peirsman, Arne and Vermeulen, Stephanie and Piccinini, Filippo and De Vuyst, Felix and Est{\^e}v{\~a}o, Diogo and Al-Jamei, Sayida and Bedeschi, Martina and Castellani, Gastone and Cruz, T{\^a}nia and others}, journal={Scientific Data}, volume={12}, number={1}, pages={283}, year={2025}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [11] SSTEM ---------------------------------------- License: CC BY-NC-SA 3.0 Dataset link: http://github.com/unidesigner/groundtruth-drosophila-vnc Metadata file: Microscopy/SSTEM/metadata.json Citation (bibtex): @article{gerhard2013segmented, title={Segmented anisotropic ssTEM dataset of neural tissue}, author={Gerhard, Stephan and Funke, Jan and Martel, Julien and Cardona, Albert and Fetter, Richard}, journal={(No Title)}, year={2013}, publisher={figshare} } ---------------------------------------- [12] VICAR ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/5153251#.YlAixn9Bzmg Metadata file: Microscopy/VICAR/metadata.json Citation (bibtex): @article{vicar2021self, title={Self-supervised pretraining for transferable quantitative phase image cell segmentation}, author={Vicar, Tomas and Chmelik, Jiri and Jakubicek, Roman and Chmelikova, Larisa and Gumulec, Jaromir and Balvan, Jan and Provaznik, Ivo and Kolar, Radim}, journal={Biomedical optics express}, volume={12}, number={10}, pages={6514--6528}, year={2021}, publisher={Optical Society of America} } ---------------------------------------- [13] WBC ---------------------------------------- License: GPL-3.0 Dataset link: https://github.com/zxaoyou/segmentation_WBC Metadata file: Microscopy/WBC/metadata.json Citation (bibtex): @article{Zheng2018, title={Fast and Robust Segmentation of White Blood Cell Images by Self-supervised Learning}, author={Xin Zheng and Yong Wang and Guoyou Wang and Jianguo Liu}, journal={Micron}, volume={107}, pages={55--71}, year={2018}, publisher={Elsevier} doi={https://doi.org/10.1016/j.micron.2018.01.010}, url={https://www.sciencedirect.com/science/article/pii/S0968432817303037} } ---------------------------------------- [14] YEAZ ---------------------------------------- License: CC-BY 4.0 Dataset link: https://www.epfl.ch/labs/lpbs/data-and-software/#:~:text=Nature%20Methods%20(2024)-,YeaZ,-%E2%80%93%20A%20convolutional%20neural Metadata file: Microscopy/YEAZ/metadata.json Citation (bibtex): @article{dietler2020convolutional, title={A convolutional neural network segments yeast microscopy images with high accuracy}, author={Dietler, Nicola and Minder, Matthias and Gligorovski, Vojislav and Economou, Augoustina Maria and Joly, Denis Alain Henri Lucien and Sadeghi, Ahmad and Chan, Chun Hei Michael and Kozi{\'n}ski, Mateusz and Weigert, Martin and Bitbol, Anne-Florence and others}, journal={Nature communications}, volume={11}, number={1}, pages={5723}, year={2020}, publisher={Nature Publishing Group UK London} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required
This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations” by Christoph Braun [1], Aiko Voigt [2], Corinna Hoose [1], Annica M. L. Ekman [3], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna [3] Department of Meteorology and Bolin Center for Climate Research, Stockholm University, Stockholm, Sweden Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00), and the numerical weather prediction and large eddy model packages (version 2.6.1) from the Max-Planck Institute of Meteorology, Hamburg, Germany and the German Weather Service, Offenbach, Germany. The dataset contains - 2d data for all global simulations and 3d data for selected global simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - 2d data, cross sections and vertical profiles for ICON-NWP model hierarchy - initial and boundary conditions (format: netcdf) or the scripts to obtain initial and boundary conditions from conducted simulations - runscripts (located in the subdirectories corresponding to each model) The data is organized in 9 subdirectories. 4 subdirectories contain the simulation output data corresponding to the 4 models CAM, ICON-AES, ICON-NWP, and ICON-LEM. We describe how we obtained and modified the models in the files “CAM_description”, “ICON-AES_description”, and “ICON-NWP_description”. We also provide the runscripts for the conducted simulations. One subdirectory contains the grids required for the simulations as well as the files to create the limited area grids using the grid generator provided by the DWD ICON-TOOLS 2.3.3. 4 sudirectories contain the initial and boundary conditions as well as the remapping scripts to obtain the initial and boundary conditions for the ICON-NWP/-LEM model hierarchy. The latter is described in the file “Create_initial_and_boundary_conditions_ICON-NWP_and_ICON-LEM”. Postprocessing of the simulation output data was performed using the Climate Data Operator software provided by DKRZ. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" contains intermediate results generated by the analysis scripts and the directory "figures" contains the figures generated by the analysis scripts. To run the analysis scripts we applied the Kernel „Python 3“ as provided by the German Climate Computing Center (DKRZ).
Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts
This dataset provides data points for the graphs in the publication DOI: 10.1002/fuce.202300060.
Research data of the publication: Comparison of a solid oxide cell with nickel/gadolinium-doped ceria fuel electrode during operation with hydrogen/steam and carbon monoxide/carbon dioxide
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V3 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V3 (videos)
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V3 (videos)
This folder contains videos of full plastics cups (Cup_PP_100) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_100_V2 (videos)
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
NMR data for Bruker Avance Spectrometers for the different figures of the publication.
LowCOST-HSQC variants for fast pulsing high ω₁-resolved 2D-experiments
This dataset contains 19 converted fundus datasets from OmniMedSeg. ------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- AKRAM: CC-BY 4.0 CHAKSU: CC-BY 4.0 CHASEDB: CC-BY 4.0 COPH100: CC-BY 4.0 CSC: CC-BY 4.0 FIVES: CC-BY 4.0 FUNDUS_AV_SEG: CC-BY 4.0 HRF: CC-BY 4.0 HVDROPDB: CC-BY 4.0 LES_AV: GPL-3.0 NETRA: CC-BY 4.0 OCUTOX: CC-BY 4.0 ORVS: "We also created a new dataset that can help researchers working in this field." PAPILA: GPL-3.0 RAVIR: CC BY-NC-SA 4.0 RETA: CC-BY 4.0 ROP: CC-BY 4.0 STARE: "All our images and data are freely available for other researchers" TREND: CC-BY 4.0 ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] AKRAM ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/3csr652p9y/2 Metadata file: Fundus/AKRAM/metadata.json Citation (bibtex): @article{akram2020data, title={Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema}, author={Akram, Muhammad Usman and Akbar, Shahzad and Hassan, Taimur and Khawaja, Sajid Gul and Yasin, Ubaidullah and Basit, Imran}, journal={Data in brief}, volume={29}, pages={105282}, year={2020}, publisher={Elsevier} } ---------------------------------------- [2] CHAKSU ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135?file=38944805 Metadata file: Fundus/CHAKSU/metadata.json Citation (bibtex): @article{J R2023, author = "Harish Kumar J R and Chandra Sekhar Seelamantula", title = "{Chákṣu IMAGE: A glaucoma-specific fundus image database}", year = "2023", month = "1", url = "https://figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135", doi = "10.6084/m9.figshare.20123135.v2" } ---------------------------------------- [3] CHASEDB ---------------------------------------- License: CC-BY 4.0 Dataset link: https://researchinnovation.kingston.ac.uk/en/datasets/chasedb1-retinal-vessel-reference-dataset-4/ Metadata file: Fundus/CHASEDB/metadata.json Citation (bibtex): @article{fraz2012ensemble, title={An ensemble classification-based approach applied to retinal blood vessel segmentation}, author={Fraz, Muhammad Moazam and Remagnino, Paolo and Hoppe, Andreas and Uyyanonvara, Bunyarit and Rudnicka, Alicja R and Owen, Christopher G and Barman, Sarah A}, journal={IEEE transactions on biomedical engineering}, volume={59}, number={9}, pages={2538--2548}, year={2012}, publisher={IEEE} } ---------------------------------------- [4] COPH100 ---------------------------------------- License: CC-BY 4.0 Dataset link: https://springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084?file=51235925 Metadata file: Fundus/COPH100/metadata.json Citation (bibtex): @article{Gong2025, author = "Mingdao Gong and Yan Hu", title = "{COph100:A Comprehensive Fundus Image Registration Dataset from Infants constituting the "RIDIRP" database}", year = "2025", month = "1", url = "https://springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084", doi = "10.6084/m9.figshare.27061084.v1" } ---------------------------------------- [5] CSC ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/4k64fwnp4k/5 Metadata file: Fundus/CSC/metadata.json Citation (bibtex): @article{yoo2022simple, title={Simple code implementation for deep learning--based segmentation to evaluate central serous chorioretinopathy in fundus photography}, author={Yoo, Tae Keun and Kim, Bo Yi and Jeong, Hyun Kyo and Kim, Hong Kyu and Yang, Donghyun and Ryu, Ik Hee}, journal={Translational vision science \& technology}, volume={11}, number={2}, pages={22--22}, year={2022}, publisher={The Association for Research in Vision and Ophthalmology} } ---------------------------------------- [6] FIVES ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169/1 Metadata file: Fundus/FIVES/metadata.json Citation (bibtex): @article{Jin2022, author = "Kai Jin and Xingru Huang and Jingxin Zhou and Yunxiang Li and Yan Yan and Yibao Sun and Qianni Zhang and Yaqi Wang and Juan Ye", title = "{FIVES: A Fundus Image Dataset for AI-based Vessel Segmentation}", year = "2022", month = "5", url = "https://figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169", doi = "10.6084/m9.figshare.19688169.v1" } ---------------------------------------- [7] FUNDUS_AV_SEG ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/Fundus-AVSeg/27938034?file=50905809 Metadata file: Fundus/FUNDUS_AV_SEG/metadata.json Citation (bibtex): @article{Deng2024, author = "Zhuo Deng", title = "{Fundus-AVSeg：用于基于 AI 的动脉静脉分割的眼底图像数据集}", year = "2024", month = "12", url = "https://figshare.com/articles/dataset/Fundus-AVSeg/27938034", doi = "10.6084/m9.figshare.27938034.v2" } ---------------------------------------- [8] HRF ---------------------------------------- License: CC-BY 4.0 Dataset link: https://www5.cs.fau.de/research/data/fundus-images/ Metadata file: Fundus/HRF/metadata.json Citation (bibtex): @article{budai2013robust, title={Robust vessel segmentation in fundus images}, author={Budai, Attila and Bock, R{\"u}diger and Maier, Andreas and Hornegger, Joachim and Michelson, Georg}, journal={International journal of biomedical imaging}, volume={2013}, number={1}, pages={154860}, year={2013}, publisher={Wiley Online Library} } ---------------------------------------- [9] HVDROPDB ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/xw5xc7xrmp/3 Metadata file: Fundus/HVDROPDB/metadata.json Citation (bibtex): @article{agrawal2024hvdropdb, title={HVDROPDB datasets for research in retinopathy of prematurity}, author={Agrawal, Ranjana and Walambe, Rahee and Kotecha, Ketan and Gaikwad, Anita and Deshpande, Col Madan and Kulkarni, Sucheta}, journal={Data in Brief}, volume={52}, pages={109839}, year={2024}, publisher={Elsevier} } ---------------------------------------- [10] LES_AV ---------------------------------------- License: GPL-3.0 Dataset link: https://figshare.com/articles/dataset/LES-AV_dataset/11857698?file=21732282 Metadata file: Fundus/LES_AV/metadata.json Citation (bibtex): @article{Orlando2020, author = "José Ignacio Orlando and João Barbosa–Breda and Karel Van Keer and Matthew B. Blaschko and Pablo Javier Blanco and Carlos Alberto Bulant", title = "{LES-AV dataset}", year = "2020", month = "2", url = "https://figshare.com/articles/dataset/LES-AV_dataset/11857698", doi = "10.6084/m9.figshare.11857698.v1" } ---------------------------------------- [11] NETRA ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/NETRA_Dataset/22817144?file=40564889 Metadata file: Fundus/NETRA/metadata.json Citation (bibtex): @article{Goperma2023, author = "Rimsa Goperma", title = "{NETRA Dataset}", year = "2023", month = "5", url = "https://figshare.com/articles/dataset/NETRA_Dataset/22817144", doi = "10.6084/m9.figshare.22817144.v1" } ---------------------------------------- [12] OCUTOX ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/13883485 Metadata file: Fundus/OCUTOX/metadata.json Citation (bibtex): @dataset{parra_2021_13883485, author = {Parra, Rodrigo and Ojeda, Verena and Mello-Román, Julio César and Vázquez Noguera, José Luis and García-Torres, Miguel and Villalba, Cynthia and Facon, Jacques and Divina, Federico and Cardozo, Olivia and Castillo, Verónica and Castro, Ingrid}, title = {Ocular Toxoplasmosis Fundus Images Dataset}, month = aug, year = 2021, publisher = {Zenodo}, version = {3.0.0}, doi = {10.5281/zenodo.13883485}, url = {https://doi.org/10.5281/zenodo.13883485} } ---------------------------------------- [13] ORVS ---------------------------------------- License: "We also created a new dataset that can help researchers working in this field." Dataset link: https://github.com/AbdullahSarhan/ICPRVessels Metadata file: Fundus/ORVS/metadata.json Citation (bibtex): @inproceedings{sarhan2021transfer, title={Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images}, author={Sarhan, Abdullah and Rokne, Jon and Alhajj, Reda and Crichton, Andrew}, booktitle={2020 25th International Conference on Pattern Recognition (ICPR)}, pages={9211--9218}, year={2021}, organization={IEEE} } ---------------------------------------- [14] PAPILA ---------------------------------------- License: GPL-3.0 Dataset link: https://figshare.com/articles/dataset/PAPILA/14798004?file=35013982 Metadata file: Fundus/PAPILA/metadata.json Citation (bibtex): @article{Kovalyk2022, author = "Oleksandr Kovalyk and Juan Morales-Sánchez and Rafael Verdú-Monedero and Inmaculada Sellés-Navarro and Ana Palazón-Cabanes and José-Luis Sancho-Gómez", title = "{PAPILA}", year = "2022", month = "4", url = "https://figshare.com/articles/dataset/PAPILA/14798004", doi = "10.6084/m9.figshare.14798004.v2" } ---------------------------------------- [15] RAVIR ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://ravir.grand-challenge.org/data/ Metadata file: Fundus/RAVIR/metadata.json Citation (bibtex): @article{hatamizadeh2022ravir, title={RAVIR: A dataset and methodology for the semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging}, author={Hatamizadeh, Ali and Hosseini, Hamid and Patel, Niraj and Choi, Jinseo and Pole, Cameron C and Hoeferlin, Cory M and Schwartz, Steven D and Terzopoulos, Demetri}, journal={IEEE Journal of Biomedical and Health Informatics}, volume={26}, number={7}, pages={3272--3283}, year={2022}, publisher={IEEE} } ---------------------------------------- [16] RETA ---------------------------------------- License: CC-BY 4.0 Dataset link: https://reta-benchmark.org/dataset/ Metadata file: Fundus/RETA/metadata.json Citation (bibtex): @article{lyu2022reta, title={The reta benchmark for retinal vascular tree analysis}, author={Lyu, Xingzheng and Cheng, Li and Zhang, Sanyuan}, journal={Scientific Data}, volume={9}, number={1}, pages={397}, year={2022}, publisher={Nature Publishing Group UK London} } ---------------------------------------- [17] ROP ---------------------------------------- License: CC-BY 4.0 Dataset link: https://data.mendeley.com/datasets/tv3b2bt6dy/2 Metadata file: Fundus/ROP/metadata.json Citation (bibtex): @article{wang2021automated, title={Automated explainable multidimensional deep learning platform of retinal images for retinopathy of prematurity screening}, author={Wang, Ji and Ji, Jie and Zhang, Mingzhi and Lin, Jian-Wei and Zhang, Guihua and Gong, Weifen and Cen, Ling-Ping and Lu, Yamei and Huang, Xuelin and Huang, Dingguo and others}, journal={JAMA network open}, volume={4}, number={5}, pages={e218758}, year={2021} } ---------------------------------------- [18] STARE ---------------------------------------- License: "All our images and data are freely available for other researchers to use in evaluating related methods." Dataset link: https://cecas.clemson.edu/~ahoover/stare/ Metadata file: Fundus/STARE/metadata.json Citation (bibtex): @article{hoover2000locating, title={Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response}, author={Hoover, AD and Kouznetsova, Valentina and Goldbaum, Michael}, journal={IEEE Transactions on Medical imaging}, volume={19}, number={3}, pages={203--210}, year={2000}, publisher={IEEE} } ---------------------------------------- [19] TREND ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/4521044 Metadata file: Fundus/TREND/metadata.json Citation (bibtex): @article{popovic2021trend, title={TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera}, author={Popovic, Natasa and Vujosevic, Stela and Radunovi{\'c}, Miroslav and Radunovi{\'c}, Miodrag and Popovic, Tomo}, journal={Plos one}, volume={16}, number={7}, pages={e0254918}, year={2021}, publisher={Public Library of Science San Francisco, CA USA} } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required
Raw data set to "Microstructure and mechanical properties of a laser-based directed energy deposited Mo-Si-Ti alloy". The data sets are labelled according to the figures in the manuscript. DED-v or DED-h refers to the eutectic Mo-20Si-52.8Ti alloy manufactured by DED-LB in the vertical or horizontal direction with respect to the build direction AC referes to the eutectic Mo-20Si-52.8Ti alloy manufactured by arc melting in as-cast condtion HT refers to the eutectic Mo-20Si-52.8Ti alloy manufactured by arc melting in annealed condtion (1600°C/150h) Fig.1a = Scanning electron grayscale micrographs using secondary electron contrast as *.jpg image of powder particles Fig.1b = Cumulative frequency as a function of powder size ad aspect ratio Fig.2a = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-v Fig.2b = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-h Fig.2c = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of AC Fig.2d = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of HT Fig.3 = Color-coded IPF maps of (a) (Mo,Ti,Si) solid solution and (b) (Ti,Mo)5Si3. (c) + (d) Orientation relationship of Mo,Ti,Si) solid solution and (Ti,Mo)5Si3 Fig.4a = True stress as a function of true strain at 900°C for DED-v, AC and HT Fig.4b = 0.2% offset yield strength as a function of testing temperature for DED-v, DED-h, AC and HT Fig.4c = Strain rate dependent 0.2% offset yield strength at 900°C for DED-v, AC and HT Fig.4d = Arrhenius plot at 200MPa for DED-v, AC and HT Fig.5 = Scanning electron grayscale micrographs using backscattered electron contrast as *.jpg image of DED-v after compression strain of 6%
Data from "Microstructure and mechanical properties of a laser-based directed energy deposited Mo-Si-Ti alloy"
## README # ___________________ ### VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography ------------- The files layer_XX.xyz (with XX indicating the number of the layer from 01-08) contain P-wave velocity anomalies (3rd column) in % with reference to the AK135 model at given longitudes (1st column) ranging from -73.5° to -57.0° and latitudes (2nd column) ranging from 6.5° to 23.0° with increments of 0.05° in both longitude and latitude. The files layer_XX.grd contain the same model as .grd-files. The 8 layers of the model correspond to the following depth ranges: 0- 40 km : layer01 40-100 km : layer02 100-160 km : layer03 160-240 km : layer04 230-320 km : layer05 320-410 km : layer06 410-530 km : layer07 530-660 km : layer08 A GMT script 'plot_layers.gmt' is provided to plot horizontal slices of the velocity anomalies. More information on the final model and a suggested set of interpretations can be found in: Braszus, B., et al. (2021), Subduction history of the Caribbean from upper-mantle seismic imaging and plate reconstruction, Manuscript in revision for Nature Communications. Further details of the method and tests for an earlier version of the model are in: Braszus, B. (2019), 3D teleseismic travel time tomography along the Lesser Antilles subduction zone, 83 pp, Karlsruhe Institute of Technology, Karlsruhe, Germany, doi:10.5445/IR/1000124003.
teleseismic P-wave travel time tomography
VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography
This data package contains all datasets produced for the study “Impacts of Fire-Induced Heat, Moisture, and Aerosol–Radiation Interactions on Wildfire Plume Rise During the 2019/2020 Australian Fires” (egusphere-2025-4853). The model experiments are compressed and organized into five folders, each corresponding to one of the numerical experiments conducted in the study: the reference simulation in REF, the experiment accounting for moisture release by the fire in MOIST, the experiment accounting for heat release in HEAT, the experiment accounting for aerosol-radiation interaction in ARI, and the experiment accounting for heat, moisture release and aerosol radiation interaction in ALL The icon_input folder contains the fire emission data, the model domain configuration, as well as the initial conditions used for the ICON simulations. The 3dwind folder includes the NASA 3DWind height–wind retrievals created to evaluate the simulated vertical motion and plume structure.
Australian New Year’s Event, ICON-ART model, wildfire emission modelling
Data for "Impacts of Fire-Induced Heat, Moisture, and Aerosol–Radiation Interactions on Wildfire Plume Rise During the 2019/2020 Australian Fires" (egusphere-2025-4853)
European Commission, Joint Research Centre (JRC), Ispra, Italy
Karlsruhe Nano Micro Facility (KNMF), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany
Secondary ions mass spectrometric method for assessing surface density of PEGylated liposomal nanomedicines
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V1 (videos)
Institut für Nanotechnologie, Helmholtz-Institut Ulm
The data contains Digital Micrograph files in the .dm3 and .dm4 formats and Velox files in the .vmd format. Digital Micrograph (DM) data can be open either by installing the offline and free version of the DM software from the Gatan website or by using the open access Fiji software. Velox data can be open with a special script available for DM. Experimental details: In order to perform TEM measurements the sample was prepared inside an argon field glovebox and then transferred to the microscope using a vacuum transfer holder in order to prevent samples from extensive air exposure. The dry powder of the samples was directly dispersed on the TEM holey carbon membrane without the use of solvents. The measurements were performed using a double aberration corrected and monochromated Themis Z microscope equipped with a Gatan GIF Continuum 970 spectrometer and a K3 IS camera. High-resolution STEM-HAADF images were recorded using a collection angle range of 63-200mrad. EELS spectrum imaging data cubes were acquired with a probe convergence angle of 30 mrad and a probe current of 0.5nA. The pixel size was around 1 nm and a dwell time of 0.1s per pixel for all the data series. The camera length was 30 mm and the spectrometer aperture was set to 5 mm resulting in a collection angle of about 40 mrad. All EELS data was acquired in dual-EELS mode containing both the core loss and the low loss spectra. All core loss spectra were realigned and deconvoluted based on the low loss spectra pairs prior to any data analysis.
TEM original data of the LNO (pristine and heat treated) samples
Institut für Meteorologie und Klimaforschung
Radiosondendaten, die während der MOSES-Kampagne "Hydrologische Extreme 2019" gemessen wurden. Standort Dittersdorf, Sachsen (13°47'51.28" E, 50°49'23,12" N, 561 ü. NN). Instrumentierung: Graw-Radiosondensystem (Receiver GS-E), Radiosonden: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
Nomenklatur des Dateinamens: Moses_Location_YYYYMMDD_hhmm.txt. Zeitangaben in UTC Beispiel: Moses_Dittersdorf_20190519_1510.txt bedeutet Aufstieg in Dittersdorf am 19. Mai 2019 um 15:10 UTC ASCII-Dateien mit Header. Der Header beinhaltet die Variblenbezeichungen und die physikalischen Einheiten. Verwendete Variablenbezeichnungen: Time (Zeit seit dem Start in s), P (Luftdruck in hPa), T (Lufttemperatur in °C), Hu (Relative Feuchte in %), Ws (Windgeschwindigkeit in m/s), Wd (Windrichtung in Grad), Geopot (geopotenielle Höhe in m), Dew (Taupunkttemperatur in °C), Rs (Aufstiegsgeschwindigkeit in m/s), D (Luftdichte in kg/m3). Die Daten beinhalten auch Messdaten nach dem Ballonplatzpunkt, negative Rs.
Radiosonde data, measured during the MOSES campaign "Hydrological Extremes 2019". Location Dittersdorf, Saxony (13°47'51.28" E, 50°49'23,12" N, 561 above sea level). Instrumentation: Graw radiosonde system (receiver GS-E), radiosondes: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
MOSES Hydrologische Extreme KITcube Radiosondendaten MOSES_2019_MueglitzValley
Radiosondendaten der MOSES-Messkampagne Hydrex 2019
This package provides the data used for the evaluation of various algorithms for the Wind Farm Cabling Problem in the doctoral thesis 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources' by Sascha Gritzbach. For further information refer to the Readme file.
Wind Farm Data Supplement for 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources'
Updated version see http://dx.doi.org/10.35097/1859. The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises nitric oxide data of the Earth's middle and upper atmosphere region for the years 2002-2012 as rerieved from all acquisition modes of infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. Further, temperature data for the upper atnmosphere mode of MIPAS is provided. The data version is V8.
MIPAS IMK/IAA version 8 retrieval of nitric oxide and lower thermospheric temperature
3D USCT III (3rd generation) experimental data. The following datasets are included: 1: Gelatin phantom with four inclusions made from PVC (spheres of different size 8 mm to 22 mm) 2: Empty measurement with the same acquisition parameters as the gelatin phantom.
In order to utilize the data, we provide a MATLAB interface which has been updated for the USCT 3rd generation format. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3D-USCT-III-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the issue tracker or contact us via e-Mail. For further information and data access scripts see webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
Wetting behaviour of ink jet printed electronic inks on patterned substartes
Institute of Meteorology and Climate Research Troposphere Research, Karlsruhe Institute of Technology
This data package contains all data needed to reproduce the figures in "Influence of Model Resolution on Simulated Extreme Wildfire Plume Heights during the 2019/2020 Australian New Year Event". The folders Model_output_13km_enhanced, Model_output_13km_notenhanced, Model_output_40km_enhanced, Model_output_40km_notenhanced, Model_output_80km_enhanced, Model_output_80km_notenhanced include the raw model output for the ICON-ART experiments at three different model resolutions and with and without sensible heat release enhancement, respectively. Each folder contains one zipped file with the interpolated model output and one zipped file with model output on the original ICON grid. The model output on the original ICON grid has been compressed with cdo pack to reduce file size. This step has reduced its data precision; we have verified that the plots can be reproduced from the packed files. The folder 3dwinds includes height retrieval data from the NASA 3D Wind Algorithm, which is based on Himawari-8 and MODIS Level 1B in the blue band. Access to this algorithm was granted by Dr. James Carr (jcarr@carrastro.com, https://orcid.org/0000-0003-1310-2084) and is subject to his approval. The folder Fire_input contains the GFAS data interpolated to the different model resolutions.
Data for "Influence of Model Resolution on Simulated Extreme Wildfire Plume Heights during the 2019/2020 Australian New Year Event"
Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)
This dataset presents vehicle dynamics and steering system measurements in various driving conditions. The test vehicle is a rear-wheel-drive Hyundai IONIQ 5 equipped with Michelin CrossClimate 2 tires at nominal inflation pressures. Vehicle dynamics signals were captured using a Kistler Correvit S-Motion optical sensor and an ANavS Multi-Sensor Real-Time Kinematic Global Navigation Satellite System, while left and right tie rod forces were measured with dedicated strain gauges. Furthermore, standard internal vehicle signals were accessed via the vehicle’s CAN bus. These signals were synchronously recorded on a dSPACE MicroAutoBox III at a sampling rate of 1000 Hz. Testing was conducted at the Karlsruhe Institute of Technology Campus East under dry environmental conditions. The driving maneuvers were performed manually and capture a broad spectrum of dynamic states: standstill, parking procedures, slow-driving transitions, and maneuvers up to 50 km/h at the lateral vehicle dynamics limits. The dataset encompasses a wide range of surface textures, including alignment turn plates, concrete, cobblestone, and two distinct asphalt variants. The resulting dataset contains 41 distinct test runs, providing 42 minutes of recorded signals and a static vehicle parameter set, making it highly suitable for the evaluation of dynamic single-track models alongside steering and tire models.
This dataset provides vehicle dynamics and steering system data collected from a rear-wheel-drive Hyundai IONIQ 5. It comprises 41 distinct test runs totaling 42 minutes of recorded signals of various driving maneuvers and road surface conditions in dry weather. Data was synchronously recorded on a dSPACE MicroAutoBox III at 1000 Hz using a Kistler Correvit S-Motion sensor, an ANavS Multi-Sensor Real-Time Kinematic Global Navigation Satellite System, dedicated tie rod strain gauges, and OEM vehicle CAN bus access. The dataset is designed for use with MATLAB. The dynamic measurement runs are provided as individual MAT-files containing the time series data. The specifics of the driving maneuver and the road surface are encoded directly into the individual file names. The dataset includes a MATLAB script containing vehicle, steering, and tire parameters. Additionally, the necessary translation vectors between the various sensor reference frames are included. The dataset includes a comprehensive set of vehicle dynamics, steering system, and global positioning signals. All multi-axis dynamic signals include suffixes indicating their directional axis and the specific reference frame in which the data was recorded. The physical unit is explicitly included at the end of every signal name. v: Linear velocity beta: Slip angle a: Linear acceleration w: Angular velocity w_fl: Wheel speed of the front-left wheel delta_stm: Effective steering angle for a single-track model, derived from the steering wheel angle F_tr: Tie rod forces, provided as separate signals for the left and right sides M_eps: Torque of the Electric Power Steering motor lat: Geodetic latitude long: Geodetic longitude
Multi-Surface Driving Maneuvers: A Dataset from Standstill to Vehicle Dynamics Limits
Cubic-symmetry acoustic metamaterials with roton-like dispersion relations
The data for all simulations discussed in the main paper are provided as Numpy npz files. See the readme file for a detailed description of the file contents.
Heterogeneous roughness in the form of streamwise aligned strips is known to generate large scale secondary motions under turbulent flow conditions that can induce the intriguing feature of larger flow rates above rough than smooth surface parts. The hydrodynamical definition of a surface roughness includes a large scale separation between the roughness height and the boundary layer thickness which is directly related to the fact that the drag of a laminar flow is not altered by the presence of roughness. Existing simplified approaches for direct numerical simulation (DNS) of roughness strips do not fulfill this requirement of an unmodified laminar base flow compared to a smooth wall reference. It is shown that disturbances induced in a modified laminar base flow can trigger large scale motions with resemblance to turbulent secondary flow. We propose a simple roughness model that allows to capture the particular features of turbulent secondary flow without impacting the laminar base flow. The roughness model is based on the prescription of a spanwise slip length, a quantity that can directly be translated into the Hama roughness function for a homogeneous rough surface. The heterogeneous application of the slip length boundary condition results in very good agreement with existing experimental data in terms of the secondary flow topology. In addition, the proposed modelling approach allows to quantitatively evaluate the drag increasing contribution of the secondary flow. Both the secondary flow itself and the related drag increase reveal a very small dependence on the gradient of the transition between rough and smooth surface parts only. Interestingly, the observed drag increase due to secondary flows above the modelled roughness is significantly smaller than the one previously reported for roughness resolving simulations. We hypothesize that this difference arises from the fact that roughness resolving simulations cannot truly fulfill the requirement of large scale separation.
Dataset: Simulation of turbulent flow over roughness strips
Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten
Daten Paper "Graphite Lubrication Mechanisms Under High Mechanical Load", Carina Morstein et al.; März 2021
Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten; EELS-Daten
Graphite lubrication of highly loaded contacts: humidity-dependent friction and structural transition to turbostratic carbon
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_124 located at St. Martin in Passeier, Italy (46.784444°N, 11.231075°E, 594 m) during the TEAMx field campaign from May to July 2025. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, DBS, vertical stares, and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from St. Martin in Passeier, TEAMx, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_115 located at Sarnthein, Italy (46.634911°N, 11.359278°E, 989 m) during the TEAMx field campaign from May to July 2025. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, DBS, vertical stares, and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Sarnthein, TEAMx, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_125 located at Naturns, Italy (46.647873°N, 10.991185°E, 541 m) during the TEAMx field campaign from May to July 2025. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, DBS, vertical stares, and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Naturns, TEAMx, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Lookheed Martin WindTracer HYB located at Kollmann, Italy (46.595116°N, 11.529069°E, 466 m) during the TEAMx field campaign from May to July 2025. For the wind profile calculation, DBS and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Kollmann, TEAMx, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Lockheed Martin WindTracer WTX located at Bozen, Italy (46.45523°N, 11.32158°E, 235 m) during the TEAMx field campaign from May to July 2025. For the wind profile calculation, PPI and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Bozen, TEAMx, Level 2 wind profiles
Institut für Meteorologie und Klimaforschung Atmosphärische Aerosolforschung (IMKAAF), Karlsruher Institut für Technologie (KIT)
The data is related to the publication: Brunamonti, S., Saathoff, H., Hertzog, A., Diskin, G., Fujiwara, M., Rosenlof, K., Möhler, O., Tuzson, B., Emmenegger, L., Amarouche, N., Durry, G., Frérot, F., Samake, J.-C., Cenac, C., Lopez, J., Monnier, P., and Ghysels, M.: The AquaVIT-4 intercomparison of atmospheric hygrometers, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1029, 2025. The data is sorted according to the date of measurement with the blind intercomparison conducted during 4 days from 2022-04-04 to 2022-04-07 and the open intercomparison conducted from 2022-03-29 to 2022-04-01. The files labeled AIDA-pt contain the pressure and temperature data during the experiments. The water mixing ratios measured by the individual instruments are given in the following files including the names of the instruments.
Data of the AquaVIT-4 intercomparison of atmospheric hygrometers which was conducted at the AIDA climate simulation chamber of the Karlsruhe Institute of Technology (KIT), Germany, in March–April 2022, within the framework of the HEMERA H2020 EU project. The objectives were to document the performance of existing hygrometers and to support the development of novel methods for water vapor (H2O) measurements in the upper atmosphere. The AquaVIT-4 intercomparison involved seven hygrometers, based on either infrared laser absorption spectroscopy or frostpoint hygrometry techniques: four deployed on aircraft or stratospheric balloon platforms, and three reference instruments. The simulated conditions in the AIDA chamber reproduced the characteristic atmospheric conditions of the upper troposphere-lower stratosphere (UTLS, altitude range ~5–28 km) in the tropics and mid-latitudes, spanning between 20–600 hPa pressure, 190–245 K temperature, and 0.5–530 ppm H2O mixing ratio. The campaign was divided into two phases, each consisting of four measurement days: an “open intercomparison”, where the simulated conditions were known to the participants, and a “blind intercomparison”, where the conditions were coordinated by independent referees and unknown to the participating teams. Here we present a statistical analysis of the entire dataset, which allows to assess the accuracy and limitations of each instrument. For the accuracy evaluation, two sets of reference measurements were defined: one for in situ instruments, located inside the AIDA vessel, and one for extractive instruments, sampling the chamber gas through a heated inlet. This distinction accounts for H2O desorption effects, which are most prominent at low pressures and low H2O concentrations. All instruments showed a good agreement with the reference values in the range of H2O > 2 ppm, with mean deviations within ±7 % for H2O > 10 ppm, and ±8 % between 2–10 ppm H2O. The largest differences were found for H2O < 2 ppm, a rarely observed range in the atmosphere, though most of the instruments still achieved average deviations within ±10 %. Overall, the results of AquaVIT-4 demonstrate the high accuracy and reliability of the four involved sensors for upper atmospheric monitoring and research applications.
Dataset for the AquaVIT-4 intercomparison of atmospheric hygrometers
There are three csv-files labeled "InputDesign" which give the input combinations of parameters used for the COSMO simulations. The remaining csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics (updated version)
This data set contains the hourly feed-in of renewable energy and electrical load in kW of four storylines in 2030 and 2045 developed witihin the ENSURE project. For a description of the storylines refer to https://www.kopernikus-projekte.de/aktuelles/news/ensure_phase1_storylines_fuer_die_energiewende. The authors gratefully acknowledge funding by the German Federal Ministry of Research, Technology and Space (BMFTR) within the Kopernikus Project ENSURE ‘New ENergy grid StructURes for the German Energiewende’.
All data are given in kW. The files "solar.csv" contain feed-in from rooftop and ground-mounted facilities. The files "other_res.csv" contain feed-in from hydro and biomass generation. The files "conv_demand.csv" contain conventional demand (industry, household, commercial, transport). The files "flexible_demand.csv" contain demand from flexible consumers such as eletric vehicles and power-to-heat.
Federal Ministry of Research, Technology and Space
Renewable Feed-In and Electrical Load of Four Storylines for the Central European System
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_124 located at Milizac-Guipronvel (48.47394°N, 4.60154°W, 96 m) during the NAWDIC field campaign from December 2025 to March 2026. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, RHI, PPI, DBS scans, and vertical stares are used. The scan pattern had a repeat time of ten minutes, containing four RHIs, three PPIs, two DBS scans, and 10 s of vertical stares, each. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The three PPI scans were carried out at 1°, 35.3°, and 60° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, which excludes measurements below an elevation angle of 15°. Due to continuous vertical stare measurements, no wind vectors are retrieved between minutes 30 and 40. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Milizac-Guipronvel, NAWDIC, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_115 located at Penfrat (Porspoder) (48.487325°N, 4.736887°W, 57 m) during the NAWDIC field campaign from December 2025 to March 2026. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, RHI, PPI, DBS scans, and vertical stares are used. The scan pattern had a repeat time of ten minutes, containing four RHIs, three PPIs, two DBS scans, and 10 s of vertical stares, each. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The three PPI scans were carried out at 1°, 35.3°, and 60° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, which excludes measurements below an elevation angle of 15°. Due to continuous vertical stare measurements, no wind vectors are retrieved between minutes 30 and 40. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Penfrat, NAWDIC, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_172 located at Irvillac (48.3837°N, 4.1833°W, 115 m) during the NAWDIC field campaign from December 2025 to February 2026. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, RHI, PPI, DBS scans, and vertical stares are used. The scan pattern had a repeat time of ten minutes, containing four RHIs, three PPIs, two DBS scans, and 10 s of vertical stares, each. The four RHI scans were carried out in four directions (northwards, eastwards, southwards, westwards). The three PPI scans were carried out at 1°, 35.3°, and 60° elevation angle. The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, which excludes measurements below an elevation angle of 15°. Due to continuous vertical stare measurements, no wind vectors are retrieved between minutes 30 and 40. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Irvillac, NAWDIC, Level 2 wind profiles
This dataset contains the relevant raw data of the revised submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC-AC" denote data on as-cast Cr-37.2Mo and "MSC-AC" on as-cast Cr-36.1Mo-3Si (alloy compositions given in at.%). "MSC-H" is Cr-36.1Mo-3Si in the homogenized condition after 1600°C for 48 h. Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single-specimen" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Atome probe tomography datasets according to Cameca file standards Fig6 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS2 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS4 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS5 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility"
This dataset contains the relevant raw data of the revised submission "Overcoming barriers for high temperature alloys: oxidation and ductility". All files highlighted by "MC-AC" denote data on as-cast Cr-37.2Mo and "MSC-AC" on as-cast Cr-36.1Mo-3Si (alloy compositions given in at.%). "MSC-H" is Cr-36.1Mo-3Si in the homogenized condition after 1600°C for 48 h. Fig1 = Scanning electron grayscale micrographs using backscattered electron contrast as *.tif images Fig2a = area-specific mass changes (average and uncertainty in mg/cm²) as a function of oxidation time (in h); "800C" denotes 800°C and "1100C" denotes 1100°C; the dataset highlighted by "single-specimen" is not averaged but determined on a single specimen Fig2b = engineering stress-strain curves (in MPa and 1, respectively) for room temperature (= "RT") and 900°C (= "900C") Fig2c = 1% offset yield strength (in MPa) as a function of testing temperature (in °C) Fig2d = true work hardening (in MPa) as a function of true stress (in MPa) for room temperature (= "RT") and 900°C (= "900C") Fig3 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "SiK" = Si-K, "OK" = O-K Fig4 = Atome probe tomography datasets according to Cameca file Standards Fig7 = Electron backscatter diffraction maps as fully annotated *.ang file FigS1 = X-ray diffraction patterns of the as cast condition as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS3 = true stress-strain curves (in MPa and 1, respectively) FigS4 = X-ray diffraction patterns of the oxidized material (100 h at 800°C = "800C" and 1100°C = "1100C") as background-subtracted intensity (in 1) as a function of 2Theta diffraction angle (in °) FigS5 = Energy-dispersive X-ray spectroscopy maps as fully annotated comma-separated matrix file; the characteristic lines a highlights in the file name "CrK" = Cr-K, "MoL" = Mo-L, "OK" = O-K FigS6 = time-dependent (in h) scale thicknesses determined form scanning electron micrographs of oxide scales (in µm); "internal_corrosion_zone" denotes the thickness of the internally oxdized regions; "800C" denotes 800°C and "1100C" denotes 1100°C FigS7 = Electron backscatter diffraction maps as fully annotated *.ang file
Data from "Overcoming barriers for high temperature alloys: oxidation and ductility" revised
Leibniz Universität Hannover (Uni Hannover)
All data is given as txt files named after the figure it is used in as well as aditional information needed to clarify the corresponding measurement condition.
Research Data of the Publication *Inductive loops in impedance spectra of PEM water electrolyzers*
3D Printing of Reactive Macroporous Polymers via Thiol-Ene Chemistry and Polymerization-Induced Phase Separation
Processed micro-tomographic scan of the ant Dolichoderus debilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0023, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0023 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This file contains the data used in the following manuscript: Hummel, M., Hoose, C., Pummer, B., Schaupp, C. E., Fröhlich-Nowoisky, J., and Möhler, O.: Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-182, 2018 and the corresponding manuscript in Atmos. Chem. Phys. The folder names correspond to the simulations (5 ensemble members each) as follows: BIO: db_m_18Sept14, db_l_09Okt14, db_r_11Okt14, db_u_18Okt14, db_d_22Okt14 DST: d_m_10Jul14, d_u_02Jul14, d_d_29Jun14, d_l_12Jul14, d_r_16Jul14 The ensemble data are the basis for Figures 7, 8, 9 and 10. The data of the reference simulation shown in Figures 2, 3, 4, 5, and 6 is contained in folder db_m_18Sept14. The data folder contain the full 4D fields (x,y,model levels,time) of the following variables (one file per variable, hourly time resolution): P_BACTERIA: bacteria concentration [#/m^-3] P_FUNGAL2: fungal spore concentration [#/m^-3] T: temperature [K] QNICE: specific cloud ice number [#/kg (air)^-1] CLDPOL7: temperature [K] used as input for INP parameterization CLDPOL9: number of occurrences of bacterial INP>0 [#/hour] CLDPOL10: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL12: number of occurrences of fungal spore INP>0 [#/hour] CLDPOL13: accumulated concentration of bacterial INP [#/(m^-3 hour)] CLDPOL15: number of occurrences of bact. + fungal spore INP>0 [#/hour] CLDPOL17: instantaneous concentration of bact. + fungal spore INP [#/m^-3] CLDPOL18: accumulated concentration of dust+soot INP [#/(m^-3 hour)] CLDPOL19: accumulated total INP [#/(m^-3 hour)] CLDPOL21: number of occurrences of dust+soot INP>0 [#/hour] files tab_z.txt and lfff00000000c.nc (in folder db_m_18Sept14) contain the information on the conversion of model levels to altitude.
Simulating the Influence of Primary Biological Aerosol Particles on Clouds by Heterogeneous Ice Nucleation
The Lurin Basin, Andean Measurement Campaign and Dataset (LAMA) was obtained during the years 2017 until 2020. LAMA is part of the BMBF funded interdisciplinary project TRUST ("Trinkwasserversorgung in prosperierenden Wassermangelregionen nachhaltig, gerecht und ökologisch verträglich"). Hydrological data has been collected in the Lurin river basin for a time span over three years in a range of altitudes from 200 m up to 4500 m above mean sea level. LAMA includes high resolution continuous measurements of precipitation (5 min resolution), soil humidity and temperature (10 min), discharge (15min resolution) and climate variables (10 min resolution). Discharge was measured at two piezometric stations, precipitation at five stations, soil humidity at three stations and climate variables at one station. Details regarding measurement equipment and calibration can be found in the readme files of the archives. Acknowledgment: LAMA is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Julian Bocanegra, Roberto Vicencio and Lucas Alcamo for their help during the measurement campaign.
file "Map.kmz": Google Earth .kmz file with locations of all measurement stations of LAMA. file "stations_meta_data.csv": .csv file with meta data about measurement stations of LAMA. folder "precipitation/": includes sub folder "data" with 5min resolution precipitation data. "README.txt" explains data structure. "Calibration_data.txt" shows calibration data for each station. folder "climate/": "atmos41_cullpe.csv" -> original data retrieved from Meter climate station. folder "soil_humidity/": includes sub folder "data" with 10min resolution soil humidity and temperature data. "README.txt" explains data structure. folder "discharge/": includes sub folder "data" with 15min resolution water level data. includes sub folder "rating_tables" with text files of discrete rating curves, derived from tracer measurements. "README.txt" explains data structure. "WQ_measured_manchay.txt" shows results of all (tracer) discharge measurements at Manchay station "WQ_measured_santarosa.txt" shows results of all (tracer) discharge measurements at SantaRosa station
Lurin Basin, Andean Measurement Campaign and Dataset (LAMA)
Processed micro-tomographic scan of the ant Odontomachus kuroiwae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera luteipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pallidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ophthalmopone hottentotta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Euponera brunoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Microdaceton exornatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus sibiricus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius cf fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex jerrmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Terataner alluaudi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus risii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 350°C.
Die Daten wurden an der microXAS-Beamline an der Swiss Light Source (SLS, Villigen, Schweiz) im Juni 2019 aufgezeichnet. Gegenstand des Experiments war ein Zeolith-Katalysator auf Kupferbasis, der als beschichteter Monolith hergestellt wurde. Eine detaillierte Beschreibung der Daten ist in der Readme-Datei dieses Datensatzes und in der entsprechenden Publikation zu finden.
The data was recorded at the microXAS beamline at the Swiss Light Source (SLS, Villigen, Switzerland) in June 2019. Subject of the experiment was a copper-based zeolite catalyst prepared as a washcoated monolith. A detailed description about the data can be found in the readme of this data set and in the corresponding publication.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 350°C dataset
Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)
Dieser Datensatz, gesammelt im Rahmen des CONFES-Systems (context-aware food and beverage preparation machine), umfasst Daten zu 884 Tassen Café Crème, die von 46 Teilnehmern zwischen dem 15. Juli 2024 und dem 27. September 2024 in zwei verschiedenen Arbeitsumgebungen konsumiert und bewertet wurden. Ziel des zugrundeliegenden Experiments ist es, Zusammenhänge zwischen der menschlichen Geschmackswahrnehmung, den Kaffeerezepten (mit besonderem Fokus auf die Coffee-to-Water-Ratio) und dem Umgebungskontext zu identifizieren. Erfasste Daten beinhalten die Coffee-to-Water-Ratio, die Kaffeemehlmenge, die Wassermenge, eine Gesamtbewertung des Kaffees sowie eine separate Intensitätsbewertung. Diese Informationen sollen dazu beitragen, die Rezepturen für Café Crème hinsichtlich Geschmack und Nachhaltigkeit zu optimieren. Der Datensatz bietet wertvolle Einblicke in das Zusammenspiel von Zubereitungsparametern und dem subjektiven Geschmackserlebnis unter verschiedenen Kontextbedingungen und kann für weitere Studien zur automatisierten Optimierung von Kaffeerezepten herangezogen werden.
Grundsätzlich kann die Variable "fbIntensity" als Bewertung gesehen werden, da diese beschreibt, ob der Kaffee "zu schwach", "optimal" oder "zu stark" war. Richtigerweise würde man beschrieben ob der Kaffee zu bitter oder sauer ist, allerdings macht das nur mit ausgebildeten Kaffeetrinkern Sinn, deshalb wurde eine einfachere Bewertungsmethode gewählt. Zu dieser Bewertung kann die Gesamtbewertung "fbGeneral" hinzugezogen werden, welche aus 4 Sternen besteht (1 Stern = schlecht, 2 Sterne = eher schlecht, 3 Sterne = eher gut, 4 Sterne = gut). Der "coffeeWaterRatio" errechnet sich indem man die Varibale "qtyCoffeePowder" (in Gramm) durch die Variable "qtyWater" (in Milliliter) teilt. Je größer dieser Wert ist, desto mehr Kaffeemehl wurde eingesetzt im Vergleich zur Wassermenge. Die unterschiedlichen Wassermengen der zubereiteten Tassen Kaffee resultieren durch unterschiedliche Gefäßgrößen an den zwei verschiedenen Experiment Standorten ("Experiment Location" - "A" und "B"). Zur Auswertung können Uhrzeiten in verschiedene Tagesabschnitte gruppiert werden (morgens, mittags, abends) um die Auswertung zu vereinfachen. Erläuterungen zu weiteren Variablen: Bewertung: "fbFlavor" = Bewertung des Geschmacks bzw. Aromas des Getränks "fbAppearance" = Bewertung des Aussehens des Getränks Getränkeabfrage: "addedSugar" = Wurde Zucker hinzugefügt? (ja/nein) "addedHotWater" = Wurde heißes Wasser hinzugefügt? (ja/nein) "addedCowMilk" / "addedPlantBasedMilk" = Wurde Milch/pflanzenbasierte Milch hinzugefügt? (ja/nein) Umgebungskontext / Wetterdaten: "temperature" = Außentemperatur "humidity" = Umgebungsluftfeuchte "precipitation" = Niederschlagsmenge "pressure" = Umgebungsdruck Persönlicher Kontext: "fatigue" = Wachzustand (tired - normal - hyper focused) "mood" = Stimmung (sad - normal - happy) "feltTemperature" = gefühlte Temperatur (cold - normal - hot) "stress" = Stresslevel (relaxed - normal - stressed) "priorIntake" = Abfrage ob 30min vor dem Kaffee etwas konsumiert wurde "drunkCoffeeinKitchen" = Abfrage ob Kaffee in Kaffeeküche getrunken wurde Persönliche Attribute: Sind Daten über den/die jeweilige Experimentteilnehmer*in: "age", "gender", "height", "weight", "isSmoker", "workoutperWeek", "hasAllergy", "diet", "sodaPerWeek"
This dataset, collected as part of the CONFES system (context-aware food and beverage preparation machine), contains data from 884 cups of Café Crème consumed and evaluated by 46 participants between July 15, 2024, and September 27, 2024, in two different work environments. The underlying experiment aims to explore the relationships between human taste perception, coffee recipes (with a primary focus on the coffee-to-water ratio), and the surrounding context. The data collected includes the coffee-to-water ratio, coffee grounds weight, water volume, an overall rating of the coffee, and a separate intensity rating. These insights are intended to help optimize Café Crème recipes in terms of both taste and sustainability. The dataset provides valuable information about the interaction between preparation parameters and subjective taste experience under varying contextual conditions, serving as a resource for further studies on automated coffee recipe optimization.
Context-aware Food and Beverage Preparation
Coffee Consumption and User Experience Dataset with Machine and Contextual Data
GRIMM Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany
Disy Informationssysteme GmbH, Karlsruhe, Germany
This is the dataset collected by the SmartAQnet project. The dataset was collected in the model region of Augsburg, Germany between 2017 and 2020 and contains 248,572,003 observations recorded by over 180 individual devices, including ceilometers, Radio Acoustic Sounding System (RASS), mid- and low-cost stationary measuring equipment using meteorological sensors and particle counters, and low-weight portable measuring equipment mounted on different platforms such as trolley, bike, and UAV. Detailed description of the dataset could be found in the dataset discription paper "SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors" (DOI: 10.14644/dust2021.001).
German Federal Ministry of Transport and Digital Infrastructure
Air Quality, Aerosol, Particulate Matter, Open Data
TECO, Karlsruhe Institute of Technology (KIT)
The two folders comprise data of the photoreactor optimization and analysis reported in the linked article. The folder with the photoreactor optimization data comprises code and simulation results. The folder with the photoreactor analysis comprises simulation results and experimental results in the corresponding subfolders. The code is written in MATLAB. Reading and modifying the code requires a working MATLAB environment. Running the code may further require the MATLAB global optimization toolbox and the MATLAB parallel computing toolbox.
Solar-driven processes inspire hopes and dreams of a sustainable future on planet earth. However, the design and optimization of photoreactors for specific reaction systems is a complex task at the interface of material science and engineering. The objective of the design process is, thereby, to derive a photoreactor that provides both optimal operating conditions and a high efficiency of radiation transport. The published data set accompanies the publication ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. The referenced manuscript introduces reflective multi-pass photoreactors, an optimization strategy for such photoreactors, underlines the validity of the chosen approach by the experimental demonstration of a potassium iron(III) oxalate photoreduction, and lastly derives a concise design guideline that supports the adaptation to other reaction systems. The published dataset comprises the optical simulation environment, the optimization algorithm code, the simulation results, and experimental data presented in the manuscript.
Sonnengestützte Prozesse inspirieren Hoffnungen und Träume von einer nachhaltigen Zukunft auf dem Planeten Erde. Das Design und die Auslegung von Fotoreaktoren für spezifische Reaktionssysteme ist jedoch eine komplexe Aufgabe an der Schnittstelle zwischen Materialwissenschaften und Engineering. Die Zielstellung des Auslegungsprozesses ist es dabei stets einen Fotoreaktor zu entwerfen, der sowohl optimale Betriebsbedingungen als auch eine hohe Strahlungstransporteffizienz sicherstellt. Der Veröffentlichte Datensatz begleitet die Veröffentlichung ‘Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis’, DOI: XYZ. Die genannte Veröffentlichung führt dabei reflektionsbasierte multipassagen Fotoreaktoren und eine Optimierungsstrategie für solche Fotoreaktoren ein. Das Manuskript unterstreicht die Validität des Konzepts durch die experimentelle Demonstration einer Fotoreduktion von Kaliumeisen(III)oxalat und leitet zuletzt eine Designrichtlinie ab, die die Adaption des Fotoreaktors auf andere Reaktionssysteme erleichtert. Der veröffentlichte Datensatz umfasst die verwendete optische Simulationsumgebung, den Code des Optimierungsalgorithmus, Simulationsergebnisse und experimentelle Ergebnisse, die im referenzierten Manuskript dargestellt werden.
Low-cost photoreactors for highly photon/energy-efficient solar-driven synthesis: code, simulation data, and experimental data
Institut für Nukleare Entsorgung (INE), Karlsruher Institut für Technologie (KIT)
Institut für Photonenforschung und Synchrotronstrahlung (IPS), Karlsruher Institut für Technologie (KIT)
Universität Heidelberg (Universität Heidelberg)
The actinides possess a complex electronic structure, making their chemical and physical properties among the least understood in the periodic table. Advanced spectroscopic tools, able to obtain deep insights into the electronic structure and binding properties of the actinides, are highly desirable. Here, we introduce two sensitive spectroscopic tools: one determines the number of localized 5f electrons on an actinide atom, and another assesses the covalent character of actinide-ligand bonding. Both tools are based on the multiplet structure present in actinide M4 edge core-to-core resonant inelastic X-ray scattering (CC-RIXS) maps. The spectral intensity of different many-body final-state multiplets directly depends on the local many-electron ground-state symmetry including the local 5f spin configuration. By comparing U M4 edge CC-RIXS data for 21 U, Np, Pu and Am compounds, we demonstrate the ability to compare the number of localized 5f electrons and bond covalency across the actinide series.
This is the research data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency" in Nature Communications 2024
Research Data to publication "Resonant inelastic X-ray scattering tools to count 5f electrons of actinides and probe bond covalency"
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Werkstoffkunde (IAM-WK), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT)
*.dm4 are DigitalMicrograph data (proprietary software from Ametek/Gatan) *.emd are Velox-data (proprietary software from Thermofisher/TFS) *.mrc are tomography data, readable with Velox or ImageJ *.gfrm and *.brml data are are originally generated from the Bruker D8Discover diffractometer using the measurement software DIFFRAC.COMMANDER; they can be opened by DIFFRAC.EV (https://www.bruker.com/en/products-and-solutions/diffractometers-and-x-ray-microscopes/x-ray-diffractometers/diffrac-suite-software/diffrac-eva.html) software from Bruker all data without extension can be opened with a text-editor
Research Data for Publication "Microstructure development in LiBH4-MgH2 and NaBH4-MgH2 RHCs upon temperature change and repeated cycling"
Institut für Baustatik (IBS), Karlsruher Institut für Technologie (KIT)
This dataset on geometric imperfections of a VAT composite cylindrical shell is linked to the paper: Fina, M. and Bisagni, C. (2025). Buckling design optimization of tow-steered composite panels and cylindrical shells considering aleatory and epistemic uncertainties. Computational Mechanics. DOI: https://doi.org/10.1007/s00466-024-02589-8
This data repository contains the Fourier coefficients of measured geometric imperfections for a tow-steered composite cylindrical shell, manufactured by the Dutch National Aerospace Laboratory (NLR). Geometric imperfection measurements were obtained using a Digital Image Correlation (DIC) system. The measured geometric radial deviations are represented as a half-wave cosine Fourier series. The corresponding Fourier coefficients A and B are provided in CSV file format.
Geometric imperfection data for a tow-steered composite cylindrical shell
Code for the implementation of solid solution strengthening models in Matlab R2020a Update 4.
Model code to "Strength of Disordered and Ordered Al‐containing Refractory High Entropy Alloys"
This folder contains .xyz files for all optimized structures investigated in the main paper.
A Gd-Dimer Benchmark Study: Is DFT an accurate Method for the Prediction of Gadolinium Exchange Coupling Constants?
This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds” by Christoph Braun [1], Johannes Hörner [2], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00) from the Max-Planck Institute of Meteorology, Hamburg, Germany. The dataset contains - 2d data for all simulations and 3d data for selected simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - initial and boundary conditions (format: netcdf) - runscripts (located in the subdirectories corresponding to each model) - analysis code The data is organized in 5 subdirectories, each corresponding to one of the following model configurations. - CAM - CAM pCOOKIE - CAM pCOOKIE subtropical columns - ICON - ICON WBF We describe how we obtained and modified CAM and ICON in the files “CAM_description” and “ICON_description”. We also provide the runscripts for the conducted simulations. We further describe the postprocessing steps performed with CDO in the file “Postprocessing_CDO”. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" will contain intermediate results generated by the analysis scripts and the directory "figures" will contain the figures generated by the analysis scripts. To run the analysis scripts we applied the following libraries as provided by the German Climate Computing Center (DKRZ) using the Kernel „ESMValTool“. * xarray (0.17.0) * numpy (1.20.1) * matplotlib (3.3.4) * scipy (1.5.3) * cftime (1.2.1) * pandas (1.2.2) * statsmodels (0.12.2)
Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts
The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year.
The data set comprises ozone data of the Earth's middle atmosphere region for the years 2002-2012 as derieved from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
Version 8 IMK/IAA MIPAS ozone profiles: nominal observation mode
An updated version of this data set is available at http://dx.doi.org/10.5445/IR/1000125576
energy electricity electricity grid electricity consumption electricity generation
The German electricity system in 2030: data on consumption, generation, and the grid
The POOL-facility was controlled via a computer that was located in a tent in a distance of approx. 10 m behind the wall with the BOS-background pattern, but after the initiation of an experiment this computer was controlled remotely from a shelter in a distance of approx. 100 m to the facility The control computer was also used to display and save all sensor records (temperatures, H2-concentrations, ambient wind conditions) with a measuring frequency of 10 Hz via LabView. The POOL-facility itself mainly consists of a stainless-steel box (dimensions 0.5 x 0.5 x 0.2 m³) that is filled up to half the height (0.1 m) with different substrates that can be found in, or are feasible for various real LH2-applications. The substrates used in the tests were concrete, sand, water and gravel, with the concrete pool being prepared already more than 1 month prior to the first experiment to allow sufficient hardening and drying. Three boxes were fabricated for the experiments, so one of these boxes had to be used for the experiments with two substrates (water and gravel, gravel was kept in separate box when not used, so in all experiments with gravel the same stones were used as substrate). For thermal protection the outside of the boxes was insulated by Styrofoam plates on its ground face and the sides. Inside the substrate layer 8 thermocouples were positioned via holders prior to the filling of the box with the respective substrate. The substrate filled box was then positioned on a scale on a table and the super insulated hose from the LH2-trailer was then fixed to a rack on the top of the table that positioned its open end above the box.
In the frame WP3.4 of the PRESLHY project 10 experiments on LH2-pool formation above different substrates have been performed with the POOL-facility on a free field-test site located a few kilometers to the north of KIT Campus North. Substrates to be investigated comprised concrete, sand, water and gravel. Four of the experiments were made with artificial side wind of known direction and known velocity to investigate the influence of side wind on the formation and evaporation of the LH2-pools.
Simulation data for Figures 4, 10, 14, 15, 16.
Directly fixed and sealed ultra-thin membranes in microfluidic bioreactor - Data of Simulations
Karlsruhe Institute of Technology - Institute of Meteorology and Climate Research
The data files are packed, consisting of 8 NC-files, and then compressed using xz
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 1)
Weitere Datensätze mit Ergebnissen aus der Dissertation
Digitaler Anhang zur Dissertation "Effiziente Implementierung und Berechnung von NMR-Kopplungskonstanten im Rahmen von nichtrelativistischer und quasirelativistischer Theorie"
Database: Ridge-type roughness - from turbulent channel flow to internal combustion engine
**Folder "hy_data/":** Hyperspectral data for the five measurement areas area1, area2_1, area2_2, area3, area4, area5, as GeoTiff (.tif) files with header (.hdr) files. - Coordinate system: WGS 84 (EPSG 4326) - 170 spectral bands, included in the header files - Information about the calibration and corrections are included in the header files **Folder "sm_data/":** Soil moisture data of the five measurement areas 1, 2, 3, 4, and 5. The measurements are provided in `peru_soilmoisture.csv`. The columns are defined as follows: - area: Measurement areas 1-5 (integer) - long: Longitude coordinate, WGS 84, in degrees (float) - lat: Latitude coordinate, WGS 84, in degrees (float) - soilmoisture_perc: Volumetric soil moisture content, in percent (float) - weather: Notes about weather conditions (string) - datetime: Date of the soil moisture measurement and start date of a measurement, in Peru Time (PET) (string in the iso 8601 format "YYYY-MM-DD hh:mm:ss")
The Aerial Peruvian Andes Campaign (ALPACA) dataset was acquired during a measurement campaign of the Institute of Photogrammetry and Remote Sensing (IPF) and the Institute of Water and River Basin Management - Hydrology (IWG) of the Karlsruhe Institute of Technology (KIT). The measurement campaign was conducted in Peru, in the catchment area of the river Lurín near Lima, in April 2019. Areas in five different locations between 2700 m and 3700 m above mean sea level are included. The ALPACA dataset consists of hyperspectral data in the range of 900 nm to 2500 nm and soil moisture point data in the range of 4 % to 89 %. The hyperspectral data was acquired with a Headwall Hyperspec SWIR sensor, which was mounted on DJI Matrice 600 Pro an Unmanned Aerial Vehicle. About 27 600 square meters of hyperspectral data were acquired with a pixel edge length of about 3 cm. A detailed description of the data acquisition can be found in [1]. The soil moisture data was measured with a handheld ThetaProbe sensor. As a result, 236 soil moisture values are provided. The point measurements were performed in a grid of various distances between 5 m and 15 m. The processing of the dataset is described in [1] and published in [2]. Acknowledgment: The ALPACA dataset is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Philipp Wagner and Julian Bocanegra for their help during the measurement campaign. Further, we thank Stefan Hinz and Erwin Zehe. **References:** [1] Felix M. Riese. "Development and Applications of Machine Learning Methods for Hyperspectral Data." Ph.D. Thesis. Karlsruhe Institute of Technology, Karlsruhe, Germany. 2020. [2] Felix M. Riese. "Processing Scripts for the ALPACA Dataset." Zenodo. 2020.
Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019
High field magnetic resonance of nuclear spins is normally carried out at or near the Larmor frequency $\Omega_0$. Here, we report the first observation of nonsecular nuclear spin resonances far off $\Omega_0$. These originate from nonsecular terms of the nuclear spin-spin interaction and provide new means for the control of coupled two level systems. In systems of equivalent nuclear spins, nonsecular resonances were predicted to lead to anomalous, fast relaxation of the nuclear spin polarization. We report experimental results that are in excellent agreement with the predicted behaviour.
This repository pertains to "Nuclear magnetic resonance far off the Larmor frequency - nonsecular resonances in CaF2" (accepted for publication at Phys. Rev. B) and contains: - the experimental data (subfolder "topspindata"), - jupyter notebooks containing the analysis of the data for the three orientations (240222-FFC_KS2_CaF2_111_Nutations.ipynb,....), and - calculations regarding the theoretically expected NSR relaxation (latticeSumsCGS.ipynb,NSR_coeff.ipynb). To run the notebooks you will need python (we used python 3), some software to run jupyter notebooks and pyNMR as well as spindata packages. Note that we are using storemagic to transfer data between notebooks.
Data set to: Nuclear magnetic resonance far off the Larmor frequency - nonsecular resonances in CaF$_2$
Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT), Schaeffler Hub for Advanced Research am KIT (SHARE), Karlsruher Institut für Technologie (KIT)
Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)
This dataset provides a collection of driving scenarios designed to support research on motion sickness in automated vehicles. It includes reference paths covering both purpose-designed circuits and real-world roads that exhibit characteristic frequency content in the acceleration relevant to motion sickness. In addition, a dynamically feasible sample trajectory for a single-track vehicle model is provided. The dataset enables reproducible simulation studies and controlled test-track experiments for evaluation of motion-planning algorithms targeting motion-sickness mitigation.
Further information about the dataset is provided in the documentation.pdf.
Reference Driving Scenarios to Support Research on Motion Sickness Mitigation
Each text file in the dataset contains the data specific to each figure presented in the main paper or Supplementary Information (SI). The name of each text file matches the figure number it represents (e.g., 'Figure1.txt' contains the data for Figure 1). Each file contains the data that belongs to its corresponding figure, facilitating straightforward analysis and interpretation. The .txt format is widely accessible and can be opened using various text editors, spreadsheet programs like Microsoft Excel, and statistical software such as R and Python.
Ammonia synthesis rate over a wide operating range: from experiments to validated kinetic models
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V4 (videos)
With the growing trend for developing new detection and investigation systems for Advanced Persistent Threat (APT), the urgent issue of lacking sound and authentic datasets becomes more visible. New datasets for research on APT detection and investigation have been released over the past few years in an accelerated manner. Yet, our examination of the existing datasets yields the finding that the gap between these datasets’ attack scenarios and real-world APT attacks is significant. Recognizing the flaws of prior datasets particularly in terms of attack scenario complexity and authenticity, we develop a novel sound dataset called Aviator, which is backed by MITRE emulation plans. The well-known organization MITRE has released nearly a dozen emulation plans, which closely reproduce APT groups’ real-world attack campaigns observed in the past. However MITRE has not published any datasets. Thus, we resort to stringently implementing these emulation plans. Further, we extend these emulation plans to include an industrial control system and attack steps on it, mimicking APT groups most known for their attacks against critical infrastructures in the past. Comparing to existing datasets, our dataset Aviator has the highest attack scenario complexity and authenticity. Moreover, Aviator is designed with dataset operability, usability, reproducibility and extensibility in mind, for which existing datasets lag far behind. That is, along with the Aviator dataset, we also provide log shipping tools, log parsing tools, and logging configuration files to encourage other researchers to make their own datasets, which may better suit the evaluation of their detection systems. Besides, we would add more log types in future versions of our dataset Aviator. We are committed to maintaining Aviator as a living dataset.
AVIATOR: A MITRE Emulation Plan-Derived Living Dataset for Advanced Persistent Threat Detection and Investigation
The freezing process of a supercooled water droplet freely falling through air is a remarkably dynamic and eventful process. During freezing from the outside in, the volume increase of liquid water upon solidification leads to a pressure rise inside the droplet. The pressure is released in various ways, e.g. by cracking or by complete fragmentation of the ice shell. These processes may be the source of secondary ice particles that are emitted during droplet freezing. In this study, the surface temperature of freezing drizzle-sized water droplets was measured with a high-resolution infrared thermography system, while recording the changes in shape and structure of the droplet by a high-speed video camera. The droplets were levitated in an electrodynamic trap under controlled conditions with respect to temperature, humidity and airflow velocity. Measurement of the surface temperature during freezing allowed for determination of the absolute pressure inside the liquid core. During the freezing of a droplet the pressure rise is interrupted many times by rapid pressure release events, each being a possible source of secondary ice. Pressure release events were three times more frequent for droplets freezing under free-fall conditions compared to droplets freezing in stagnant air. Naturally occurring sea salt content (< 100 mg/L) does not inhibit the pressure buildup inside freezing drizzle droplets.
Numerical data for all the figures in the related paper. The format of the .csv files is described within the .csv-files. The format for the .json-file is described in a separate text file "comment_on_data_figure_6_all_json_file.txt". The videos are described in "Video captions IR Paper.pdf"
Supplementary data for J. Kleinheins et al. "Thermal imaging of freezing drizzle droplets: pressure release events as a source of secondary ice particles", Journal of the Atmospheric Sciences 2021
Nickel aluminum layered double hydroxide (NiAl LDH) with nitrate in its interlayer is investigated as a negative electrode material for lithium-ion batteries (LIBs). The effect of the potential range (i.e., 0.01 – 3.0 V and 0.4 – 3.0 V vs. Li+/Li) and of the binder on the performance of the material is investigated in 1 M LiPF6 in EC/DMC vs. Li. The NiAl LDH electrode based on sodium alginate (SA) binder shows a high initial discharge specific capacity of 2586 mAh g-1 at 0.05 A g-1 and good stability in the potential range of 0.01-3.0 V vs. Li+/Li, which is better than what obtained with a polyvinylidene difluoride (PVDF)-based electrode. The NiAl LDH electrode with SA binder shows, after 400 cycles at 0.5 A g-1, a cycling retention of 42.2 % with a capacity of 697 mAh g-1 and at a high current density of 1.0 A g-1 shows a retention of 27.6 % with a capacity of 388 mAh g-1 over 1400 cycles. In the same conditions, the PVDF-based electrode retains only 15.6 % with a capacity of 182 mAh g-1 and 8.5 % with a capacity of 121 mAh g-1, respectively. Ex situ X-ray photoelectron spectroscopy (XPS) and ex situ X-ray absorption spectroscopy (XAS) reveal a conversion reaction mechanism during Li+ insertion into the NiAl LDH material. X-ray diffraction (XRD) and XPS have been combined with the electrochemical study to understand the effect of different cut-off potentials on the Li-ion storage mechanism.
Layered double hydroxide · lithium-ion batteries · Sodium alginate · Electrode materials · Conversion reaction
Electrochemical study on Nickel Aluminum Layered Double hydroxides as high-performance electrode material for lithium-ion batteries based on sodium alginate binder
Experimental Details: All electrochemical measurements were conducted in a three-electrode. As a working electrode, a planar silver rotating disk electrode (surface area A = 0.1963 cm²), and as counter electrode, a spiral platinum wire was used. All potentials were measured and plotted against a reversible hydrogen electrode reference electrode (RHE). The potentials were corrected for uncompensated resistance afterward. The electrolyte was purged with CO₂ for 15 min before starting the experiment to ensure saturation with CO₂. Cyclic voltammetry was performed in a potential window of -0.5 to -2.0 V vs. RHE with rotation speeds between 50 and 150 rpm and between -0.5 to -2.5 V vs. RHE for 300 rpm. The scan rate of the potential sweep was set to values of 50, 100, 200 and 300 mV/s. The number of cycles was eight for each scan rate to guarantee a quasi-steady state. In the figures, only the last cycle is displayed. The stationary polarization curve was measured by holding a constant potential for 200 s. The step size of the applied potential was 0.1 V. The uncompensated resistance was measured after each holding time. Figures show the corrected mean potential and mean error, determined from the last 20 s of each measured potential. Numerical Details: The model was implemented in MATLAB R2020b, and differential equations were solved with ode15s solver. Spatial discretization was done with an equidistant grid and applying finite volume method and central differential quotients. Grid size was set to a value of Δx=1 µm and convergence of the solution regarding grid parameters was confirmed as refining the parameters lead to no visual changes of the cyclic voltammograms and concentration profiles. The system was initialized by holding the starting potential of -0.5 V, where no significant electrochemical reactions take place, until a stationary state was reached. Initial surface coverages and initial potential of the electrode were adapted from the stationary state. Initial concentrations were set to electrolyte bulk concentrations, where equilibrium of carbonate species and dissolved CO₂ is adjusted. For more information about experimental details, see Experimental Section in the manuscript. For more information about experimental details and the model, see Method section in the manuscript.
Dynamic vs. Stationary Analysis of Electrochemical Carbon Dioxide Reduction: Strong Differences in Local State
DAMAST-KIT- Video Logging in Boreholes Around Enguri High Dam in Georgia: 2020
Eine Auflistung und Beschreibung der Daten befindet sich im Anhang unter 6.1. Die Generierung und Auswertung der Daten befindet sich im Methodenteil der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von Ustilago maydis"
Digitale Datensätze der Dissertation "Die Charakterisierung des Transkriptionsfaktors Hdp2 und dessen Rolle in der biotrophen Phase von $\textit{Ustilago maydis}$"
Inkjet-printed bipolar resistive switching device based on AgZnOAu structure
A multi-photon (7×7)-focus 3D laser printer based on a 3D-printed diffractive optical element and a 3D-printed multi-lens array
These files contain the data used for the publication "Modelling spanwise heterogeneous roughness through a parametric forcing approach" by K. Schäfer, A. Stroh, P. Forooghi and B. Frohnapfel published in the Journal of Fluid Mechanics, 2021. The dataset of each simulation is saved in a separate numpy file. The python script "plot_figures.py" illustrates how to read all datasets and how to plot selected figures from the paper. Note: The dataset of the previous publication on this topic (Stroh, Schäfer, Frohnapfel and Forooghi, Rearrangement of secondary flow over spanwise heterogeneous roughness, JFM, 2020) contained a mistake regarding the labeling of the considered smooth wall elevations. The paper erroneously states that those were ℎ = 0 (protruding roughness), h = k and h = 2k (recessed roughness) while the correct values are ℎ = 0, ℎ = 0.97k and ℎ = 1.70k instead. In addition, we identified a mistake in the post processing tool for the statistical averaging procedure that has been corrected. This dateset here contains the corrected data and evaluations for the simulations from the previous publication. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Kay Schäfer
Dataset for Modelling spanwise heterogeneous roughness through a parametric forcing approach
This is the databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing.
There exist two versions of the databank: volume mixing ratio profiles on common pressure grid and volume mixing ratio profiles on common altitude grid. The pressure grid corresponds to vertical sampling of appr. 1 km below 20 km and appr. 2–3 km above 20 km; the altitude grid has 1-km step. The altitude range of the profiles provided varies from instrument to instrument. Geolocation, uncertainty estimates when available, and vertical resolution are provided for each profile. For some instruments, quality-related optional parameters are provided as well. This is one stop source for satellite vertical profiles of water vapour for the period 1984–2018. This databank is useful for a wide range of atmospheric applications, targets a wide range of users from modellers to scientists, and can be interesting for purposes of validation, assimilation, data merging, and atmospheric research. The databank WAVAS_SAHAR has been created in the framework of the European Space Agency Climate Change Initiative project.
Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR)
This dataset contains 24 converted MRI datasets, part of the OmniMedSeg superset. All datasets are converted to a standardized structure with binary masks for each segmentation target. ================================================================================ DATASET LICENSE AND CITATION SUMMARY ================================================================================ -------------------------------------------------------------------------------- QUICK REFERENCE: DATASETS AND LICENSES -------------------------------------------------------------------------------- Please read the Description for more details about the dataset licenses and terms of use. ACDC: CC BY-NC-SA 4.0 CC_TUMOR_HETEROGENEITY: CC-BY 4.0 CDEMRIS: CC-BY 4.0 CHAOS_MRI: CC BY-NC-SA 4.0 CROSSMODA: CC BY-NC-SA 4.0 GBM_RESERVOIR: CC-BY 4.0 HNTSMRG: CC-BY-NC 4.0 HVSMR_20: CC-BY 4.0 HYPO_SUBFIELDS: CC-BY 4.0 IBD: CC-BY 4.0 ISLES_2022: Creative Commons Attribution 4.0 International MEDSEG_VENTRICLES: CC0 1.0 MSD_HEART: CC BY-SA 4.0 MSD_PROSTATE: CC BY-SA 4.0 NCI_ISBI: CC-BY 3.0 PICAI: CC-BY-NC 4.0 PITUITORY_TUMOR: CC-BY 4.0 PROMISE12: "You can use this data for your research. If you do that it is mandatory to cite https://doi.org/10.1016/j.media.2013.12.002." QIN_PROSTATE: CC-BY 4.0 RESECT: CC BY-NC-SA 4.0 SEGTHY: CC-BY 4.0 SPIDER: CC-BY 4.0 ATRIASEG_2018: 'You may download the training and testing data' SPINE: 'Together with this submission, we make our program code publicly available under an open-source license, including 17 anonymized datasets with corresponding segmentations.' TOM500: CC0 1.0 ================================================================================ DETAILED INFORMATION BY DATASET ================================================================================ [1] ACDC ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://humanheart-project.creatis.insa-lyon.fr/database/#collection/637218c173e9f0047faa00fb/folder/637218e573e9f0047faa00fc Metadata file: MRI/ACDC/metadata.json Citation (bibtex): @article{Bernard2018, title = {Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?}, volume = {37}, ISSN = {1558-254X}, url = {http://dx.doi.org/10.1109/TMI.2018.2837502}, DOI = {10.1109/tmi.2018.2837502}, number = {11}, journal = {IEEE Transactions on Medical Imaging}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, author = {Bernard, Olivier and Lalande, Alain and Zotti, Clement and Cervenansky, Frederick and Yang, Xin and Heng, Pheng-Ann and Cetin, Irem and Lekadir, Karim and Camara, Oscar and Gonzalez Ballester, Miguel Angel and Sanroma, Gerard and Napel, Sandy and Petersen, Steffen and Tziritas, Georgios and Grinias, Elias and Khened, Mahendra and Kollerathu, Varghese Alex and Krishnamurthi, Ganapathy and Rohé, Marc-Michel and Pennec, Xavier and Sermesant, Maxime and Isensee, Fabian and J\"{a}ger, Paul and Maier-Hein, Klaus H. and Full, Peter M. and Wolf, Ivo and Engelhardt, Sandy and Baumgartner, Christian F. and Koch, Lisa M. and Wolterink, Jelmer M. and Išgum, Ivana and Jang, Yeonggul and Hong, Yoonmi and Patravali, Jay and Jain, Shubham and Humbert, Olivier and Jodoin, Pierre-Marc}, year = {2018}, month = Nov, pages = {2514–2525} } ---------------------------------------- [2] ATRIASEG_2018 ---------------------------------------- License: 'You may download the training and testing data' Source: 'comments' field (no license or custom_license found) Dataset link: https://www.cardiacatlas.org/atriaseg2018-challenge/atria-seg-data/ Metadata file: MRI/ATRIASEG_2018/metadata.json Citation (bibtex): @article{Xiong2021, title = {A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging}, volume = {67}, ISSN = {1361-8415}, url = {http://dx.doi.org/10.1016/j.media.2020.101832}, DOI = {10.1016/j.media.2020.101832}, journal = {Medical Image Analysis}, publisher = {Elsevier BV}, author = {Xiong, Zhaohan and Xia, Qing and Hu, Zhiqiang and Huang, Ning and Bian, Cheng and Zheng, Yefeng and Vesal, Sulaiman and Ravikumar, Nishant and Maier, Andreas and Yang, Xin and Heng, Pheng-Ann and Ni, Dong and Li, Caizi and Tong, Qianqian and Si, Weixin and Puybareau, Elodie and Khoudli, Younes and Géraud, Thierry and Chen, Chen and Bai, Wenjia and Rueckert, Daniel and Xu, Lingchao and Zhuang, Xiahai and Luo, Xinzhe and Jia, Shuman and Sermesant, Maxime and Liu, Yashu and Wang, Kuanquan and Borra, Davide and Masci, Alessandro and Corsi, Cristiana and de Vente, Coen and Veta, Mitko and Karim, Rashed and Preetha, Chandrakanth Jayachandran and Engelhardt, Sandy and Qiao, Menyun and Wang, Yuanyuan and Tao, Qian and Nuñez-Garcia, Marta and Camara, Oscar and Savioli, Nicolo and Lamata, Pablo and Zhao, Jichao}, year = {2021}, month = Jan, pages = {101832} } ---------------------------------------- [3] CC_TUMOR_HETEROGENEITY ---------------------------------------- License: CC-BY 4.0 Dataset link: https://www.cancerimagingarchive.net/collection/cc-tumor-heterogeneity/ Metadata file: MRI/CC_TUMOR_HETEROGENEITY/metadata.json Citation (bibtex): @misc{https://doi.org/10.7937/erz5-qz59, doi = {10.7937/ERZ5-QZ59}, url = {https://www.cancerimagingarchive.net/collection/cc-tumor-heterogeneity/}, author = {Mayr, Nina and Yuh, William T.C. and Bowen, Stephen and Harkenrider, Matthew and Knopp, Michael V. and Lee, Elaine Yuen-Phin and Leung, Eric and Lo, Simon S. and Small Jr., William and Wolfson, Aaron H.}, title = {Cervical Cancer - Tumor Heterogeneity: Serial Functional and Molecular Imaging Across the Radiation Therapy Course in Advanced Cervical Cancer (CC-Tumor-Heterogeneity)}, publisher = {The Cancer Imaging Archive}, year = {2023}, copyright = {Creative Commons Attribution 4.0 International} } ---------------------------------------- [4] CDEMRIS ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/CDEMRIS_fibrosis_scar_challenge_data_2012/4214532 Metadata file: MRI/CDEMRIS/metadata.json Citation (bibtex): @article{Karim2016, author = "Rashed Karim", title = "{CDEMRIS fibrosis scar challenge dataset}", year = "2016", month = "11", url = "https://figshare.com/articles/dataset/CDEMRIS_fibrosis_scar_challenge_data_2012/4214532", doi = "10.6084/m9.figshare.4214532.v5" } ---------------------------------------- [5] CHAOS_MRI ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://zenodo.org/records/3431873 Metadata file: MRI/CHAOS_MRI/metadata.json Citation (bibtex): @article{kavur2019, title = {Comparison of semi-automatic and deep learning based automatic methods for liver segmentation in living liver transplant donors}, author = {Kavur, A. Emre and Gezer, Naciye Sinem and Barış, Mustafa and Şahin, Yusuf and Özkan, Savaş and Baydar,Bora and Yüksel, Ulaş and Kılıkçıer, Çağlar and Olut, Şahin and Bozdağı Akar, Gözde and Ünal, Gözde and Dicle, Oğuz and Selver, M. Alper}, journal = {Diagnostic and Interventional Radiology}, volume = {26}, pages = {11-21}, year = {2020}, month = Jan, doi = {10.5152/dir.2019.19}, url = {https://doi.org/10.5152/dir.2019.19025} } ---------------------------------------- [6] CROSSMODA ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://www.cancerimagingarchive.net/collection/vestibular-schwannoma-seg/ Metadata file: MRI/CROSSMODA/metadata.json Citation (bibtex): @article{Shapey2021, title = {Segmentation of vestibular schwannoma from MRI — An open annotated dataset and baseline algorithm}, url = {http://dx.doi.org/10.1101/2021.08.04.21261588}, DOI = {10.1101/2021.08.04.21261588}, publisher = {openRxiv}, author = {Shapey, Jonathan and Kujawa, Aaron and Dorent, Reuben and Wang, Guotai and Dimitriadis, Alexis and Grishchuk, Diana and Paddick, Ian and Kitchen, Neil and Bradford, Robert and Saeed, Shakeel R and Bisdas, Sotirios and Ourselin, Sébastien and Vercauteren, Tom}, year = {2021}, month = Aug } ---------------------------------------- [7] GBM_RESERVOIR ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/GBM-Reservoir_Dataset_and_Segmentations/28001450 Metadata file: MRI/GBM_RESERVOIR/metadata.json Citation (bibtex): @article{Solak2024, author = "Naida Solak and André Ferreira and Gijs Luijten and Behrus Puladi and Victor Alves and Jan Egger", title = "{GBM-Reservoir: Dataset and Segmentations}", year = "2024", month = "12", url = "https://figshare.com/articles/dataset/GBM-Reservoir_Dataset_and_Segmentations/28001450", doi = "10.6084/m9.figshare.28001450.v20" } ---------------------------------------- [8] HNTSMRG ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: https://zenodo.org/records/11199559 Metadata file: MRI/HNTSMRG/metadata.json Citation (bibtex): @misc{https://doi.org/10.5281/zenodo.11199559, doi = {10.5281/ZENODO.11199559}, url = {https://zenodo.org/doi/10.5281/zenodo.11199559}, author = {Wahid, Kareem and Dede, Cem and Naser, Mohamed and Fuller, Clifton}, keywords = {Magnetic resonance imaging, Artificial intelligence, Machine learning, segmentation, radiotherapy, Head and neck cancer, oropharyngeal cancer, radiation oncology}, language = {en}, title = {Training Dataset for HNTSMRG 2024 Challenge}, publisher = {Zenodo}, year = {2024}, copyright = {Creative Commons Attribution Non Commercial 4.0 International} } ---------------------------------------- [9] HVSMR_20 ---------------------------------------- License: CC-BY 4.0 Dataset link: https://figshare.com/articles/dataset/HVSMR-2_0_orig_/25226360?backTo=/collections/HVSMR-2_0_A_3D_cardiovascular_MR_dataset_for_whole-heart_segmentation_in_congenital_heart_disease/7074755 Metadata file: MRI/HVSMR_20/metadata.json Citation (bibtex): @article{Pace2024, author = "Danielle Pace and Hannah Contreras and Jennifer Romanowicz and Shruti Ghelani and Imon Rahaman and Yue Zhang and Patricia Gao and mohammad imrul jubair and Tom Yeh and Polina Golland and Tal Geva and Sunil Ghelani and Andrew Powell and mehdi hedjazi moghari", title = "{HVSMR-2.0 (orig)}", year = "2024", month = "2", url = "https://figshare.com/articles/dataset/HVSMR-2_0_orig_/25226360", doi = "10.6084/m9.figshare.25226360.v2" } ---------------------------------------- [10] HYPO_SUBFIELDS ---------------------------------------- License: CC-BY 4.0 Dataset link: https://plus.figshare.com/articles/dataset/A_paired_dataset_of_multi-modal_MRI_at_3_Tesla_and_7_Tesla_with_manual_hippocampal_subfield_segmentations_on_7T_T2-weighted_images/26075713/1 Metadata file: MRI/HYPO_SUBFIELDS/metadata.json Citation (bibtex): @article{Li2024, author = "Shuyu Li and Lei Chu and Baoqiang Ma and Xiaoxi Dong and Yirong He and Debin Zeng and Tongtong Che", title = "{A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images}", year = "2024", month = "10", url = "https://plus.figshare.com/articles/dataset/A_paired_dataset_of_multi-modal_MRI_at_3_Tesla_and_7_Tesla_with_manual_hippocampal_subfield_segmentations_on_7T_T2-weighted_images/26075713", doi = "10.25452/figshare.plus.26075713.v1" } ---------------------------------------- [11] IBD ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/13839321 Metadata file: MRI/IBD/metadata.json Citation (bibtex): @article{Zhong2025, title = {A comprehensive dataset of magnetic resonance enterography images with intestinal segment annotations}, volume = {12}, ISSN = {2052-4463}, url = {http://dx.doi.org/10.1038/s41597-025-04760-z}, DOI = {10.1038/s41597-025-04760-z}, number = {1}, journal = {Scientific Data}, publisher = {Springer Science and Business Media LLC}, author = {Zhong, Zhangnan and Huang, Li and Feng, Shi-Ting and Lin, Haiwei and Wang, Xinyue and Lu, Baolan and Cao, Kangyang and Li, Xuehua and Huang, Bingsheng}, year = {2025}, month = Mar } ---------------------------------------- [12] ISLES_2022 ---------------------------------------- License: Creative Commons Attribution 4.0 International Dataset link: https://zenodo.org/records/7960856 Metadata file: MRI/ISLES_2022/metadata.json Citation (bibtex): @MISC{Hernandez_Petzsche2022-iv, title = "{ISLES} 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset", author = "Hernandez Petzsche, Moritz Roman and de la Rosa, Ezequiel and Wiest, Roland and Hanning, Uta and Wiestler, Benedikt and Kirschke, Jan S", publisher = "Zenodo", year = 2022 } ---------------------------------------- [13] MEDSEG_VENTRICLES ---------------------------------------- License: CC0 1.0 Dataset link: https://figshare.com/articles/dataset/MedSeg_Ventricles_MRI_Dataset/19644636/1 Metadata file: MRI/MEDSEG_VENTRICLES/metadata.json Citation (bibtex): @article{MedSeg2022, author = "MedSeg and Tomas Sakinis and Håvard Bjørke Jenssen", title = "{MedSeg Ventricles MRI Dataset}", year = "2022", month = "4", url = "https://figshare.com/articles/dataset/MedSeg_Ventricles_MRI_Dataset/19644636", doi = "10.6084/m9.figshare.19644636.v1" } ---------------------------------------- [14] MSD_HEART ---------------------------------------- License: CC BY-SA 4.0 Dataset link: http://medicaldecathlon.com/#tasks Metadata file: MRI/MSD_HEART/metadata.json Citation (bibtex): @misc{https://doi.org/10.48550/arxiv.1902.09063, doi = {10.48550/ARXIV.1902.09063}, url = {https://arxiv.org/abs/1902.09063}, author = {Simpson, Amber L. and Antonelli, Michela and Bakas, Spyridon and Bilello, Michel and Farahani, Keyvan and van Ginneken, Bram and Kopp-Schneider, Annette and Landman, Bennett A. and Litjens, Geert and Menze, Bjoern and Ronneberger, Olaf and Summers, Ronald M. and Bilic, Patrick and Christ, Patrick F. and Do, Richard K. G. and Gollub, Marc and Golia-Pernicka, Jennifer and Heckers, Stephan H. and Jarnagin, William R. and McHugo, Maureen K. and Napel, Sandy and Vorontsov, Eugene and Maier-Hein, Lena and Cardoso, M. Jorge}, keywords = {Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering}, title = {A large annotated medical image dataset for the development and evaluation of segmentation algorithms}, publisher = {arXiv}, year = {2019}, copyright = {arXiv.org perpetual, non-exclusive license} } ---------------------------------------- [15] MSD_PROSTATE ---------------------------------------- License: CC BY-SA 4.0 Dataset link: http://medicaldecathlon.com/#tasks Metadata file: MRI/MSD_PROSTATE/metadata.json Citation (bibtex): @misc{https://doi.org/10.48550/arxiv.1902.09063, doi = {10.48550/ARXIV.1902.09063}, url = {https://arxiv.org/abs/1902.09063}, author = {Simpson, Amber L. and Antonelli, Michela and Bakas, Spyridon and Bilello, Michel and Farahani, Keyvan and van Ginneken, Bram and Kopp-Schneider, Annette and Landman, Bennett A. and Litjens, Geert and Menze, Bjoern and Ronneberger, Olaf and Summers, Ronald M. and Bilic, Patrick and Christ, Patrick F. and Do, Richard K. G. and Gollub, Marc and Golia-Pernicka, Jennifer and Heckers, Stephan H. and Jarnagin, William R. and McHugo, Maureen K. and Napel, Sandy and Vorontsov, Eugene and Maier-Hein, Lena and Cardoso, M. Jorge}, keywords = {Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering}, title = {A large annotated medical image dataset for the development and evaluation of segmentation algorithms}, publisher = {arXiv}, year = {2019}, copyright = {arXiv.org perpetual, non-exclusive license} } ---------------------------------------- [16] NCI_ISBI ---------------------------------------- License: CC-BY 3.0 Dataset link: https://www.cancerimagingarchive.net/analysis-result/isbi-mr-prostate-2013/ Metadata file: MRI/NCI_ISBI/metadata.json Citation (bibtex): @misc{https://doi.org/10.7937/k9/tcia.2015.zf0vlopv, doi = {10.7937/K9/TCIA.2015.ZF0VLOPV}, url = {https://www.cancerimagingarchive.net/analysis-result/isbi-mr-prostate-2013/}, author = {Bloch, B. Nicholas and Madabhushi, Anant and Huisman, Henkjan and Freymann, John and Kirby, Justin and Grauer, Michael and Enquobahrie, Andinet and Jaffe, Carl and Clarke, Larry and Farahani, Keyvan}, title = {NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures (ISBI-MR-Prostate-2013)}, publisher = {The Cancer Imaging Archive}, year = {2015}, copyright = {Creative Commons Attribution 3.0 Unported} } ---------------------------------------- [17] PICAI ---------------------------------------- License: CC-BY-NC 4.0 Dataset link: https://zenodo.org/records/6624726 Metadata file: MRI/PICAI/metadata.json Citation (bibtex): @misc{https://doi.org/10.5281/zenodo.6624726, doi = {10.5281/ZENODO.6624726}, url = {https://zenodo.org/record/6624726}, author = {Saha, Anindo and Twilt, Jasper Jonathan and Bosma, Joeran Sander and van Ginneken, Bram and Yakar, Derya and Elschot, Mattijs and Veltman, Jeroen and F\"{u}tterer, Jurgen and de Rooij, Maarten and Huisman, Henkjan}, keywords = {prostate cancer, artificial intelligence, magnetic resonance imaging, radiologists, computer-aided detection and diagnosis}, language = {en}, title = {The PI-CAI Challenge: Public Training and Development Dataset}, publisher = {Zenodo}, year = {2022}, copyright = {Creative Commons Attribution Non Commercial 4.0 International} } ---------------------------------------- [18] PITUITORY_TUMOR ---------------------------------------- License: CC-BY 4.0 Metadata file: MRI/PITUITORY_TUMOR/metadata.json Citation (bibtex): @article{Pandit2025, author = "Anand Pandit and Andrew Keenlyside and Danyal Khan and Gerda Reischer and Muhammad Kamal and Nina Yoh and Zane Jaunmuktane and Anouk Borg and Neil Dorward and Stefanie Baldeweg and Indran Davagnanam and Harpreet Hyare and Parashkev Nachev and Hani Marcus", title = "{Mapping pituitary neuroendocrine tumors: an annotated MRI dataset profiling tumor and carotid characteristics}", year = "2025", month = "1", url = "https://springernature.figshare.com/articles/dataset/Mapping_pituitary_neuroendocrine_tumors_an_annotated_MRI_dataset_profiling_tumor_and_carotid_characteristics/27894084", doi = "10.6084/m9.figshare.27894084.v1" } ---------------------------------------- [19] PROMISE12 ---------------------------------------- License: "You can use this data for your research. If you do that it is mandatory to cite https://doi.org/10.1016/j.media.2013.12.002." Dataset link: https://zenodo.org/records/8026660 Metadata file: MRI/PROMISE12/metadata.json Citation (bibtex): @misc{https://doi.org/10.5281/zenodo.8026660, doi = {10.5281/ZENODO.8026660}, url = {https://zenodo.org/record/8026660}, author = {Litjens, Geert and Van Ginneken, Bram and {Henkjan Huisman} and Van De Ven, Wendy and Hoeks, Caroline and Barratt, Dean and {Anant Madabhushi}}, keywords = {MRI, prostate, segmentation, medical image analysis}, language = {en}, title = {PROMISE12: Data from the MICCAI Grand Challenge: Prostate MR Image Segmentation 2012}, publisher = {Zenodo}, year = {2023}, copyright = {Open Access} } ---------------------------------------- [20] QIN_PROSTATE ---------------------------------------- License: CC-BY 4.0 Dataset link: https://www.cancerimagingarchive.net/collection/qin-prostate-repeatability/ Metadata file: MRI/QIN_PROSTATE/metadata.json Citation (bibtex): @article{Fedorov2017, title = {Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification}, volume = {52}, ISSN = {0020-9996}, url = {http://dx.doi.org/10.1097/RLI.0000000000000382}, DOI = {10.1097/rli.0000000000000382}, number = {9}, journal = {Investigative Radiology}, publisher = {Ovid Technologies (Wolters Kluwer Health)}, author = {Fedorov, Andriy and Vangel, Mark G. and Tempany, Clare M. and Fennessy, Fiona M.}, year = {2017}, month = Sept, pages = {538–546} } ---------------------------------------- [21] RESECT ---------------------------------------- License: CC BY-NC-SA 4.0 Dataset link: https://osf.io/jv8bk/ Metadata file: MRI/RESECT/metadata.json Citation (bibtex): @article{Xiao2017, title = {REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries}, volume = {44}, ISSN = {0094-2405}, url = {http://dx.doi.org/10.1002/mp.12268}, DOI = {10.1002/mp.12268}, number = {7}, journal = {Medical Physics}, publisher = {Wiley}, author = {Xiao, Yiming and Fortin, Maryse and Unsgård, Geirmund and Rivaz, Hassan and Reinertsen, Ingerid}, year = {2017}, month = May, pages = {3875–3882} } ---------------------------------------- [22] SEGTHY ---------------------------------------- License: CC-BY 4.0 Dataset link: https://www.cs.cit.tum.de/camp/publications/segthy-dataset/ Metadata file: MRI/SEGTHY/metadata.json Citation (bibtex): @article{Krnke2022, title = {Tracked 3D ultrasound and deep neural network-based thyroid segmentation reduce interobserver variability in thyroid volumetry}, volume = {17}, ISSN = {1932-6203}, url = {http://dx.doi.org/10.1371/journal.pone.0268550}, DOI = {10.1371/journal.pone.0268550}, number = {7}, journal = {PLOS ONE}, publisher = {Public Library of Science (PLoS)}, author = {Kr\"{o}nke, Markus and Eilers, Christine and Dimova, Desislava and K\"{o}hler, Melanie and Buschner, Gabriel and Schweiger, Lilit and Konstantinidou, Lemonia and Makowski, Marcus and Nagarajah, James and Navab, Nassir and Weber, Wolfgang and Wendler, Thomas}, editor = {V E, Sathishkumar}, year = {2022}, month = July, pages = {e0268550} } ---------------------------------------- [23] SPIDER ---------------------------------------- License: CC-BY 4.0 Dataset link: https://zenodo.org/records/10159290 Metadata file: MRI/SPIDER/metadata.json Citation (bibtex): @article{vanderGraaf2024, title = {Lumbar spine segmentation in MR images: a dataset and a public benchmark}, volume = {11}, ISSN = {2052-4463}, url = {http://dx.doi.org/10.1038/s41597-024-03090-w}, DOI = {10.1038/s41597-024-03090-w}, number = {1}, journal = {Scientific Data}, publisher = {Springer Science and Business Media LLC}, author = {van der Graaf, Jasper W. and van Hooff, Miranda L. and Buckens, Constantinus F. M. and Rutten, Matthieu and van Susante, Job L. C. and Kroeze, Robert Jan and de Kleuver, Marinus and van Ginneken, Bram and Lessmann, Nikolas}, year = {2024}, month = Mar } ---------------------------------------- [24] SPINE ---------------------------------------- License: 'Together with this submission, we make our program code publicly available under an open-source license, including 17 anonymized datasets with corresponding segmentations.' Dataset link: https://www.cg.informatik.uni-siegen.de/en/spine-segmentation-and-analysis Metadata file: MRI/SPINE/metadata.json Citation (bibtex): @article{Zuki2014, title = {Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images}, volume = {33}, ISSN = {1467-8659}, url = {http://dx.doi.org/10.1111/cgf.12343}, DOI = {10.1111/cgf.12343}, number = {6}, journal = {Computer Graphics Forum}, publisher = {Wiley}, author = {Zukić, Dženan and Vlasák, Aleš and Egger, Jan and Hořínek, Daniel and Nimsky, Christopher and Kolb, Andreas}, year = {2014}, month = Mar, pages = {190–204} } ---------------------------------------- [25] TOM500 ---------------------------------------- License: CC0 1.0 Dataset link: https://springernature.figshare.com/articles/dataset/TOM500_A_Multi-Organ_Annotated_Orbital_MRI_Dataset_for_Thyroid_Eye_Disease/27133389?file=49499655 Metadata file: MRI/TOM500/metadata.json Citation (bibtex): @article{Song2025, author = "Xuefei Song and Huifang Zhou and Xianqun Fan and Haiyang Zhang and Hoi Chi Chan and Jiashuo Xu and Mengda Jiang and Xiaofeng Tao", title = "{TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease}", year = "2025", month = "1", url = "https://springernature.figshare.com/articles/dataset/TOM500_A_Multi-Organ_Annotated_Orbital_MRI_Dataset_for_Thyroid_Eye_Disease/27133389", doi = "10.6084/m9.figshare.27133389.v1" } ---------------------------------------- ================================================================================ IMPORTANT NOTES ================================================================================ - All datasets listed are publicly available - Full metadata is stored in each dataset's metadata.json file - For CC0-licensed datasets, attribution is appreciated but not required - For other licenses, please review the specific terms before use
The data base contains aerosol number concentrations and size distributions measured from small environmental research aircraft over areas reported to be subject to changes in the hydrological cycle, especially declining rainfall trends. Size distributions combined with HYSPLIT backtrajectories can be used for source apportionment, regional studies for the quantification of particle emissions from selected dominant anthropogenic sources.
Airborne cloud-relevant particles in the upper planetary boundary layer and lower free troposphere over drought-affected areas
Dataset related to the publication: "Sources, concentrations, and seasonal variations of VOC and aerosol particles in downtown Munich in 2023/24" Authors: Yanxia Li, Hengheng Zhang, Xuefeng Shi, Yaowei Li, Sophie Abou-Rizk, Jessica B. Smith, Zhaojin An, Adrian Wenzel, Junwei Song, Thomas Leisner, Frank Keutsch, Jia Chen, and Harald Saathoff Corresponding authors: Yanxia Li: yanxia.li@kit.edu Harald Saathoff: harald.saathoff@kit.edu Li, Y., Zhang, H., Shi, X., Li, Y., Abou-Rizk, S., Smith, J., An, Z., Wenzel, A., Song, J., Leisner, T., Keutsch, F., Chen, J., and Saathoff, H.: Sources, concentrations, and seasonal variations of VOC and aerosol particles in downtown Munich in 2023/24, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-5191, 2025, (accepted 04/2026). ## Description Measurements were conducted in an urban street canyon at Theresienstrasse 39 (LMU Munich) during two main campaign periods: • Summer campaign: 3–29 August 2023 • Late winter / spring campaign: 1–27 March 2024 The dataset includes measurements from multiple instruments used to characterize aerosol chemical composition, volatile organic compounds, particle number and size distributions, trace gases, and meteorological parameters. ## File Contents: Aerosol mass spectrometer (AMS) Contains data derived from the High Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS). These files include mass concentrations of organic aerosol and inorganic components as well as high-resolution AMS analysis results. Files include data for 2023August_ and 2024March_: * AMS composition data * AMS high-resolution analysis outputs * Processed concentration data for different campaign periods. Charon_PTR_MS Contains VOC and semi-volatile organic aerosol measurements obtained with the CHARON-PTR-ToF-MS system. Files include: * Gas-phase VOC measurements and uncertainty (Gas_CHARON-PTR-MS) * Particle-phase semi-volatile organic aerosol measurements and uncertainty for both August 2023 and March 2024 campaigns. Meteorological (meteo) Contains meteorological parameters and trace gas measurements used for the analysis of atmospheric conditions. Files include: * Temperature * Relative humidity * Wind speed and direction * NOx_O3 NO₂ & O₃ concentrations * NH3 NH₃ concentrations Particle number and size distribution Contains particle number concentrations, particle size distributions, and related aerosol measurements. Files include: * SMPS particle size distributions * CPC particle number concentrations * PM mass concentrations * Black carbon concentrations ## Data format All files are provided in Microsoft Excel format (.xlsx) or text format (.itx). Time resolution varies depending on the instrument but generally ranges from seconds to minutes. ## Units Typical units used in the dataset include: • Particle mass concentration: µg m⁻³ • Particle number concentration: cm⁻³ • VOC mixing ratios: ppb • Wind speed: m s⁻¹ • Temperature: °C ## Additional notes The data correspond to the measurements used for generating figures and analyses presented in the manuscript. For detailed descriptions of instruments, measurement methods, and data processing procedures, please refer to the associated manuscript. ## Contact For questions regarding the dataset, please contact: Yanxia Li or Harald Saathoff Karlsruhe Institute of Technology (KIT) Institute of Meteorology and Climate Research Atmospheric Aerosol Research https://www.imkaaf.kit.edu/
Dataset related to the following publication: https://doi.org/10.5194/egusphere-2025-5191 Only little is known about molecular composition and sources of air pollution in Germanys third largest city, Munich. Therefore, we investigated sources, concentrations, and seasonal variations of volatile organic compounds (VOC), semi-volatile organic aerosol (SVOA), and organic aerosol (OA) in an urban street canyon in Munich utilizing online mass spectrometry and positive matrix factorization (PMF). Organic aerosol concentrations were higher in summer (4.3 ± 2.9 µg m-3) than late winter (3.3 ± 1.7 µg m-3) due to enhanced photochemical reactions, while nitrate exhibited the opposite trend with elevated concentrations in winter (4.5 ± 3.2 µg m-3) compared to summer (0.3 ± 0.2 µg m-3). During summer heat, photochemistry generates low-volatile oxygenated OA (33 ± 20%), while aged biomass burning organic aerosol (BBOA) (25 ± 21%) from barbecue activities and biogenic OA (22 ± 14%) from nocturnal monoterpene chemistry further shape aerosol composition. The colder seasons are characterized by combustion-derived aerosols (Winter: fresh BBOA 13 ± 9%, aged 36 ± 12%; Spring: fresh 27 ± 17%, aged 37 ± 19%), whose dynamics are driven mainly by anthropogenic activity patterns. Traffic contributed at this urban kerbside surprisingly little to aerosol mass (5-9 %) but more to VOC (22-35%). Our findings point to efficient ways to improve air quality e.g. by reducing monoterpene emissions by urban vegetation management as well as reducing biomass burning including barbecue emissions, a major source of aerosol particles and precursor gases of secondary organic aerosol throughout the seasons.
Dataset to Sources, concentrations, and seasonal variations of VOC and aerosol particles in downtown Munich in 2023/24
Material and Equipment: A high-temperature test cell (HTT Cell, PAT series test cell type, EL-Cell GmbH) was used for all experiments. Electrodes were purchased from CustomCells Itzehoe GmbH. The negative electrode has an area capacity of 2.2 mAh cm-2 with the following loading: 96 wt% SMG104 graphite active material, 2607SMG104. The capacity of the active material is 350 mAh g-1. It contained further styrene-butadiene-rubber/carboxymethyl cellulose (SBR/CMC) and conductive additives, all applied on copper foil; the positive electrode has an area capacity of 2.0 mAh cm-2, with the following loading: 93.5 wt% NMC 622 active material, K-771, capacity of the active material is 160 mAh g-1. It further contained polyvinylidene fluoride and conductive additives, all applied on aluminum foil. EC:DMC electrolyte (1:1 / v:v,1 M LiPF6, battery grade, Sigma Aldrich) was used. All electrodes were punched out to receive sheets with a uniform diameter of 18 mm. Their weight was measured (XS205, Mettler Toledo), and they were dried overnight at 120 °C under high vacuum before being transferred into an Ar glovebox (water and oxygen content under 0.1 ppm). All capacities were calculated based on the measured weight of the assembled electrodes. The separator compositions were as follows: borosilicate glass (Whatman GF/A, porosity 91%, thickness 260 mum, m.p. > 300 °C), polyethylene terephthalate/Al2O3 (Viledon FS 3005-25, porosity 55%, thickness 25 mum, m.p. ~250 °C), polypropylene (Celgard 4560, porosity 55%, thickness 110 mum, m.p. ~150 °C), and polytetrafluoroethylene (Omnipore JVWP04700, porosity 88%, thickness 30 mum, m.p. ~300 °C). The HTT test cells contain the four separators mentioned above as sheets with a diameter of 21.6 mm. The cells were assembled in a glovebox under an Ar atmosphere, according to literature.[36] Temperature-stable separator housings and sealing ring materials made of polyether ether ketone (PEEK) were used for the selected temperature range. Gases used for calibration were purchased from Air Liquide or Westfalen AG. The quantities and purities of the gases were: Ar (99.999%); calibration gas 1: Ar (main component, 99.999%), CH4 (5025 ppm, 99.5%), C2H4 (5025 ppm, 99.5%) and CO2 (5025 ppm, 99.5%); calibration gas 2: Ar (main component, 99.999%), H2 (5005ppm, 99.999%), CO (4991 ppm, 99.0%) and O2 (4700 ppm, 99.999%). Chemicals used for calibration were purchased and used and without further purification: dimethyl carbonate (99% dry, Acros Organics), Lithium hexafluorophosphate (99.99%, Sigma Aldrich), and Lithium peroxide (95%, ABCR). The conductive salt decomposition gas POF3 is calibrated. Setup for Temperature-induced Stress Test and Electrochemical characterization: The operando electrochemical and gas analysis setup couples a potentiostat and mass spectrometer. The HTT cell (EL-Cell) connects the lithium-ion battery with quick connectors with a heated transfer line and the mass spectrometer (MS, Omnistar GSD 320, Pfeiffer Vacuum). The parameters of the mass spectrometer are: Parameter Value Multiple Ion Detection (MID) m/z: 2, 16, 18, 26, 27, 28, 30, 32, 36, 44, 67, 69, 77, 78, 85, 88, 90, 104, 107, 118, 126, 155 Energy of the electron beam 70 eV Detector C-SEM Capillary temperature 200 °C Input heating 120 °C Scan rate 500 ms Ar flow rate 0.65 mL min-1 The heating profile of the HTT cell during temperature-induced stress test are: Parameter Value Start temperature 25 °C Heating rate 2 °C min 1 Test temperature 132 °C Hold temperature at test temperature while recording the open-circuit voltage 60 min End temperature 25 °C All assembled cells were cycled with a Gamry potentiostat (5000 E) in a self-built temperature chamber at 25 °C in the voltage range between 3.0 V and 4.2 V. The cycling procedure was identical for all experiments is as follows: Parameter Value Temperature 25 °C Rest time 6 h Formation, 1 cycle C/10 Heating step after formation starts at ~3.7 V (~SOC 50%) OCV for 10 h Cycle after temperature induced stress test C/10 Charge / Discharge CC+CV / CC U(cut-off) 4.2 V / 3.0 V For more information about experimental details, see in the Experimental Section in the manuscript and the Supporting Information.
Separators in lithium-ion batteries are considered to be (electro-)chemically inert to typical operating conditions. Yet, temperature abuse tests at elevated temperatures of ca. 60 to 132 °C show that the choice of separator material has a decisive influence on battery behavior and degradation. Using online electrochemical mass spectrometry, we analyzed the evolution of cell voltage and gas products during and after thermal abuse for different separators. Polypropylene and polytetrafluoroethylene seem stable, whereas glass fiber and polyethylene terephthalate separators were reactive and caused additional gas release. Polyethylene terephthalate produced significantly more gas, and the separator failed mechanically, causing unreproducible and drastic performance losses. The CO2 content of polyethylene terephthalate separator is four times higher than that of glass fiber. Yet, a five times higher amount of POF3 was detected for glass fiber. The evolved gas amounts of CO2 or POF3 were modest for polypropylene and polytetrafluoroethylene.
Online electrochemical mass spectrometry
Impact of Lithium-Ion Battery Separators on Gas Evolution during Temperature Abuse
Codes to generate the numerical examples in the publication "A high-order numerical method for solving non-periodic scattering problems in three-dimensional bi-periodic structure". These codes use the Matlab programming language.
A high-order numerical method for solving non-periodic scattering problems in three-dimensional bi-periodic structure - Codes
This dataset provides data points for the graphs in the publication.
Research data of the publication: Impedance-based analysis of degradation phenomena in PEMFCs during accelerated stress tests
This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.
Estimation of Marginal CO2 Emission Factors in Germany 2017
A Fully Inkjet-Printed Unipolar Metal Oxide Memristor for Nonvolatile Memory in Printed Electronics
Technische Universität Braunschweig (TU Braunschweig)
Numerical details: The model was implemented and performed using MATLAB R2022b. Data set: A csv file exists for each figure and subfigure. There is always a single file for each Li2S microstructure, which contains the name of the corresponding figure. The extensive Figure 6, also contains the details of the concentration and the interfacial difference parameter.
Insight into the impact of electrolyte on passivation of Lithium-Sulfur cathodes
Data points from figures can be obtained by csv-files. These files are named after the number of the respective figure. The technical conditions under which the data were recorded can be obtained from the text at the respective position in the paper.
The integrity of metallic interconnectors (MIC) in an SOC-stack is crucial since contact resistances or limitations in gas supply may occur. In this contribution, a Crofer 22 APU$^®$ interconnector with a $\textrm{(Mn, Co, Fe)}_{3}\textrm{O}_{4}$ spinel oxide (MCO) coating and a lanthanum-strontium-manganese-cobalt oxide (LSMC) contact layer at the air side was investigated. The electrochemical behavior was characterized by means of IV-characteristics, impedance spectroscopy and DRT analysis. In particular, the contact losses at the air side were measured with targeted potential probes. With respect to the contact layer mounted in a dried state, the application of a stack-like clamping pressure of 1 MPa showed a significant decrease of the contact resistance. In order to extend an existing zero-dimensional performance model for an electrolyte-supported cell with a Ni/GDC fuel electrode and LSCF air electrode, a method was established to parameterize contact losses at the air electrode. The observed activation energy of the contact losses showed to be independent of the clamping pressure. Additionally, the dependency of the cell´s intrinsic ohmic losses towards the steam partial pressure at the Ni/GDC fuel electrode was quantified and included to the model. Simulation studies were validated with experimental data for technical operating conditions.
Stack-like Contacting in Solid Oxide Cells: Electrochemical Characterization and Modeling
This report summarises the ‘rainout’ experiments undertaken by HSE, which was an experimental investigation into the release characteristics and dispersion of elevated spills of LH 2 , including the propensity for rainout to form. A series of 25 LH 2 releases from a tanker delivery hose at elevated positions were carried out through 6 mm, 12 mm and 25.4 mm nozzles with an indicated tanker pressure of 1 or 5 barg. The dispersion from these releases was measured using hydrogen concentration and temperature measurements. Other attributes such as pressure, mass flow rate and temperature were measured in the pipework to provide an understanding of the release characteristics. The experiments were carried out at the LH 2 release facility, which was located on a 32 m diameter concrete pad at the Frith Valley site at the HSE Science and Research Centre in Buxton. While no evidence of rainout was found during these releases, evidence of rainout immediately after a release was observed. Further to this, condensed components of air formed around the release point and on impingements. Pools were only formed with low, vertically downward releases. These pools potentially comprised of LH 2 , condensed components of air, or a mixture of the two. It is possible that with different initial conditions or obstruction geometries, rainout and pool formation could still occur. The phase of hydrogen at the release point was indicated by the pipework measurements. For the majority of the trials a two-phase flow developed within the release pipework. This has been attributed predominantly to the heat transfer into the fluid in the final 3 m of pipework, which contained the instrumentation and therefore was not vacuum insulated. The mass flow rate for each source configuration was measured and is reported including the methodology. The development and dispersion of the gaseous H 2 cloud that forms from a release of LH 2 was captured by the instrumentation and video footage. The jet is typically momentum dominated for the initial section, which ranges between 1.5 m and 6 m depending on the release pressure and nozzle size, but then becomes extremely dependent on the wind, including transient localised gusts. The video and data output of these experiments will be provided for model validation, which is due to take place in upcoming stages of the PRESLHY project.
exel file consists of data from following sensors, obtained during experiments: • near‐field thermocouples • far‐field thermocouples • pressure sensor • tank Pressure sensor • mass flow sensor • H2 concentration sensors • H2 PPM • O2 depletion • near‐field weather station PCE • far‐field wind sensor • far‐field humidity sensor and videos getted during experiments. Report
Fuel Cells and Hydrogen Joint Undertaking (FCH JU); Summary of experiment series E3.5
file consists of data from following sensors, obtained during experiments: • blast pressure sensor • noise sensor • heat flux sensor • pipework thermocouples • pressure sensor • mass flow sensor • near-field weather station • far-field wind sensor • far-field humidity sensor and videos getted during experiments
Work package five of the PRESLHY project focusses on the combustion phenomena of liquid hydrogen (LH 2 ). The experimental programme was designed to provide insight into a number of credible and poorly understood LH 2 combustion scenarios. One such scenario is the effect of congestion or confinement on an ignited hydrogen cloud stemming from a release of LH 2 , potentially leading to deflagration to detonation transition (DDT). This report summarises the large-scale experiments carried out at the HSE Science and Research Centre in Buxton investigating the effect of differing levels of congestion and confinement on the combustion properties of a hydrogen cloud developing from a release of LH2. Various combustion parameters were measured, including; the overpressure, heat flux, and noise. Monitoring of ambient and release conditions were also made to allow for a thorough analysis of the results. A total of 23 ignited trials were completed and involved releasing LH2 using the same initial conditions as in the rainout experiments of work package 3, meaning that the dispersion patterns should remain similar. The congestion and confinement was created by a configurable steel structure placed directly in the path of the release. Two congestion levels, confinement and pool experiments were planned, however due to the safe noise level being reached, only the congestion experiments were completed. To compensate for this, multiple repeats and experiments with a wide variety of source conditions were conducted. From the results, it is clear that higher levels of volumetric congestion increases the measured overpressures in releases with the same initial conditions. The results also show that an increasing hydrogen inventory, either through an increased release pressure or larger nozzle, can result in a larger event upon ignition. However, the mixing of the jet also plays a part; some releases through the largest release orifice diameter showed lower overpressures potentially due to the hydrogen cloud being too rich. It was observed that the ambient conditions, in particular the wind speed and direction, were a significant factor in the outcome of each ignition. This was particularly prominent in trials 21 to 23.
Fuel Cells and Hydrogen Joint Undertaking (FCH JU)
Phonon transmission through a nonlocal metamaterial slab
PRESLHY Experiment series 4.4; Material of the ground: sand
Inkjet-printed tungsten oxide memristor displaying non-volatile memory and neuromorphic properties
This is an example to run the PEERP (Pacing at the End of the Refractory Period, Luca Azzolin et al., https://doi.org/10.3389/fphys.2021.656411) protocol using a monoatrial left atrium (LA) mesh, with fibers and region annotation. The mesh is the mean LA geometry from the SSM (Statistical Shape Model) proposed by Claudia Nagel et al. ([doi:10.5281/zenodo.4309957](https://doi.org/10.5281/zenodo.4309957)) and the fibers and annotations were generated using AugmentA code https://github.com/KIT-IBT/AugmentA (https://doi.org/10.1016/j.compmedimag.2023.102265) by Luca Azzolin et al.
European Union’s Horizon 2020 research and innovation programme - Marie Skłodowska-Curie Actions
The Right Atrium Affects In Silico Arrhythmia Vulnerability in Both Atria
Copyright © 2021, American Chemical Society
Kostengünstige enzymfreie Glukosesensoren mit teilweiser Flexibilität, die für tragbare Internet-of-Things-Geräte geeignet sind und als personalisierte Point-of-Care-Geräte in Betracht gezogen werden können, wurden durch die galvanische Abscheidung von Kupfer auf lokal karbonisierten flexiblen Meta-Polyaramid-Folien (Nomex) unter Verwendung von Laserstrahlung hergestellt. Freistehende Filme wurden in Stickstoff- und Stickstoff/Luft-Arbeitsumgebungen getempert, was zur Bildung von Cu-Mikrosphäroiden und CuO-Egeln führte, die auf dem Substratfilm verteilt waren. Der Aggregationsmechanismus, die kristallographischen Eigenschaften, die Oberflächenchemie und die elektrochemischen Eigenschaften der Filme wurden mittels Rasterelektronenmikroskopie, Röntgendiffraktometrie, Transmissionselektronenmikroskopie, Röntgenphotoelektronenspektroskopie und zyklischer Voltammetrie untersucht. Cu-Mikrosphäroide und CuO-Igel erreichten Aktivität für den Glukose-Nachweis und zeigten eine Verbesserung der amperometrischen Empfindlichkeit auf 0,25 bzw. 0,32 mA cm-2 mM-1. Der CuO-Igelfilm behielt seine chemische Zusammensetzung nach der amperometrischen Prüfung bei und ermöglichte durch Spülen mehrere Wiederholungen mit reproduzierbaren Ergebnissen. Diese Studie eröffnet die Möglichkeit zur Herstellung langlebiger Verbundstoff-Biosensoren mit maßgeschneiderter Form, die in flexible Träger und mikrofluidische Systeme eingebaut werden können.
The collected data presented in OriginPro (2021) and structured according to the figures name from the publication. The schemes made with CorelDRAW (v17). The formulas were created with ChemOffice. The images can be handled with standard toolkit.
Low-cost enzyme-free glucose sensors with partial flexibility adaptable for wearable Internet of Things devices that can be envisioned as personalized point-of-care devices were produced by electroplating copper on locally carbonized flexible meta-polyaramid (Nomex) sheets using laser radiation. Freestanding films were annealed in nitrogen and nitrogen/air working environments, leading to the formation of Cu microspheroids and CuO urchins dispersed on the substrate film. The aggregation mechanism, crystallographic properties, surface chemistry, and electrochemical properties of the films were studied using scanning electron microscopy, X-ray diffractometry, transmission electron microscopy, X-ray photoelectron spectroscopy, and cyclic voltammetry. Cu microspheroids and CuO urchins attained activity for glucose detection and showed improvement of amperometric sensitivity to 0.25 and 0.32 mA cm–2 mM–1, respectively. The CuO urchin film retained its chemical composition after amperometric testing, and, by rinsing, allowed multiple repetitions with reproducible results. This study opens the possibility for the fabrication of durable composite biosensors with tailored shape, capable of implementation in flexible carriers, and microfluidic systems.
Nano- and Microstructured Copper/Copper Oxide Composites on Laser-Induced Carbon for Enzyme-Free Glucose Sensors
Basisdaten (Volumendaten in Polarkoordinaten) des Dual-Pol Doppler X-Band Radars Meteor50DX im Rahmen der MOSES Messkampagne "Hydrologische Extreme" 2019. Zeitliche Auflösung 5 Minuten, 100 km Reichweite, 9 Elevationen von 0,7 bis 30 Grad, zusätzliche Elevation bei 90 Grad. Standort des Radars bei Dittersdorf (untere Windkraftanlage) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Die Daten sind im Format der Firma Gematronik gespeichert. Es handelt sich im Wesentlichen um ein XML-Format. Da die komprimierten Messdaten jedoch fälschlich XML-Tags enthalten können, müssen diese als BLOBs eingelesen werden. Einleseroutinen gibt es als open source bei der wradlib oder für Matlab bei jan.handwerker@kit.edu.
Base data (volume data in polar coordinates) of the dual-pol Doppler X-Band Radar Meteor50DX measured in the framework of MOSES measuring campaign "Hydrological Extremes" in 2019. Temporal resolution 5 minutes, 100 km range, 9 elevations from 0.7 to 30 degrees, additional scan at 90 degrees. Radar located close to Dittersdorf (lower wind turbine) 50.8232 deg N, 13.7974 deg E, 564.7 m ASL
Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019
National Food Chain Safety Office, Hungary
Synchrotron X-ray microtomographic data of heads of Nasonia wasps analyzed in Hoag et al. 2025. The original tomograms were aligned, cropped and converted to 8 bit.
Nonlocal interaction engineering of 2D roton-like dispersion relations in acoustic and mechanical metamaterials
PRESLHY Experiment series 5.3; block ratio: 0%; initial temperature: approx. 80K (cold)
PRESLHY Experiment series 5.3; block ratio: 0%; initial temperature: ambient (warm)
PRESLHY Experiment series 5.3; block ratio: 60%; initial temperature: ambient (warm)
Processed micro-tomographic scan of the ant Crematogaster crinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oxyopomyrmex saulcyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes depressus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys intermedia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius fuji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The readme file explains the use of the data and is provided together with the data.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 5\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 3)
Processed micro-tomographic scan of the ant Gigantiops destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla kagutsuchi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina longicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys hispida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Technomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium polymorphum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The research data contains the raw data of the results published in the paper.
Research Data for publication 'Electrodeposition of chitosan enables synthesis of copper/carbon composites for H2O2 sensing'
Processed micro-tomographic scan of the ant Labidus coecus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium tsushimae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera villosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis savignyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster pallida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma simrothi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fukaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technische Mechanik (ITM), Karlsruher Institut für Technologie (KIT)
This software package facilitates the simulation and optimization of bipedal running on compliant ground, adhering to the methodology delineated in the manuscript "Study on Bipedal Running on Compliant Ground Using Hybrid Zero Dynamics Controller." The equations of motion and design of the controller are implemented using the Maple software. Numerical analyses and optimization are conducted utilizing the Julia programming language, while the optimization algorithm is sourced from the commercial software Artelys Knitro.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
julia-Software package for bipedal robot running on compliant ground using hybrid zero dynamics controller
Processed micro-tomographic scan of the ant Paratrachymyrmex cornetzi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthomyrmex glabfemoralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Bundesministerium für Verkehr und digitale Infrastruktur
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0864/2011 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2003 - 2012
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, solid ammonium nitrate) in the Upper Troposphere and Lowermost Stratosphere (UTLS) from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) during the StratoClim campaign with basis in Kathmandu, Nepal, on board the high altitude research aircraft Geophysica, 2017.
We highly recommend to contact the GLORIA team at KIT or Jülich before using the data for scientific studies.
Die Versuche wurden in einer Borosilikatglaskapillare mit einem inneren Querschnitt von 2 mm × 2 mm durchgeführt. Die Taylor-Strömung wurde mit einer Injektionsnadel im co-flow erzeugt. Am Eintritt wurde das Verhältnis der Gas- und Flüssigvolumenströme, die Gesamtleerrohrgeschwindigkeit, sowie das Verhältnis von CO2 zu N2 in der Gasphase variiert. Es wurde mit 1 M und 2 M Natronlauge gearbeitet. Die Konzentrationsprofile wurden nur im Flüssigkeitspfropfen zwischen den Blasen aufgenommen. Es handelt sich um zwei Datensätze: erstens die in-situ mit dem Raman-Analyse-System ermittelten Konzentrationsprofile des Karbonats und des Bicarbonats und ergänzend die offline ermittelte Blasengröße. Konzentrationsprofile - RamanData.csv: Die Ausdehnung des Detektionsvolumen der konfokalen Optik des Laser-Raman-Systems wurde experimentell zu 15 μm × 15 μm × 70 μm bestimmt. Die Messdauer wurde durch die Pulsdauer des Lasers von 10 μs definiert. Die Produkte Karbonat und Bikarbonat konnten mit einer Nachweisgrenze von 0,04 mol/L bzw. 0,05 mol/L detektiert werden. Mit dem Schattenverfahren betrug die Messunsicherheit 3 % für Sluglänge und Blasengeschwindigkeit bzw. 8 % für die Bestimmung der Position des Messpunktes relativ zur Blase. Die Genauigkeit konnte mit dem holographischen Verfahren um Faktor zwei verbessert werden. Bei der reproduzierbaren Taylor-Strömung ermöglicht die Analyse einer Vielzahl an Messpunkten die Rekonstruktion der Konzentrationsfelder im Slug um die Blase. Der Datensatz enthält 22880 Messpunkte mit den folgenden Daten: 1: 'expNo' bezieht sich auf die in der Dissertationsschrift veröffentlichte Nummerierung der verschiedene Versuchsbedingungen 2: 'distancez(height)' Abstand zur Kontaktierung von Gas und Flüssigkeit / mm 3: 'distancey(lateral)' Versatz lateral zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 4: 'distancex(frontal)' Versatz frontal zum Kanalzentrum in mm (siehe Abb. 7.14, S. 182 in der Dissertationsschrift) 5: 'Konz. CO3in mol/l' mit dem Raman-System ermittelte Karbonatkonzentration in mol/L 6: 'Konz. HCO3mol/L' mit dem Raman-System ermittelte Bikarbonatkonzentration in mol/L 7: 'distanceto cap' Abstand des Messpunkts zur Blasenkappe der nachfolgenden Blase in μm 8: 'distanceto tail' Abstand des Messpunkts zum Blasenende der vorangehenden Blase in μm 9: 'sluglengthin um' Sluglänge in μm 10: 'velocityin m/s' Geschwindigkeit der Blase in m/s 11: 'J*_NaOHin ml/min' Volumenstrom der Natronlauge am Kanaleintritt in mL/min 12: 'NaOH_invalue in mol/l' Konzentration der Natronlauge am Kanaleintritt in mol/L 13: 'J*_N2in ml/min' Volumenstrom des Stickstoffs am Kanaleintritt in mL/min 14: 'J*_CO2in ml/min' Volumenstrom des Kohlenstoffdioxids am Kanaleintritt in mL/min 15: 'Temp.inlet gas' Temperatur des Gasgemisches am Kanaleintritt in °C 16: 'Temp.inlet liquid' Temperatur der Natronlauge am Kanaleintritt in °C 17: 'Temp.outlet' Temperatur am Kanalaustritt in °C 18: 'Datum' Aufnahmedatum des Messpunkts Blasenlänge - BubbleLength.csv: Die Blasenlänge wurde im Anschluss an die Raman-Messungen mithilfe einer Spiegelreflexkamera (Canon EOS 400D Digital, 3888 × 2592 Pixel, Verschlusszeit 1/200 s, Blitzdauer 80 μs) untersucht. Für jedes Experiment wurde aus mehreren Bildern die Blasenlänge abhängig vom Abstand zur Kontaktierung ermittelt. Der Dataframe enthält für jedes Experiment mit expNo X und den Eingangsbedingungen entsprechend des ersten Dataframes den Abstand des Blasenzentrums der betrachteten Blase zur Kontaktierung 'expX_y/mm' in mm und die Blasenlänge 'expX_lB/mm' in mm. 1: 'exp1_y/mm' 2: 'exp1_lB/mm' 3: 'exp2_y/mm' 4: 'exp2_lB/mm' 5: 'exp3_y/mm' 6: 'exp3_lB/mm' 7: 'exp4_y/mm' 8: 'exp4_lB/mm' 9: 'exp5_y/mm' 10: 'exp5_lB/mm' 11: 'exp6_y/mm', 12: 'exp6_lB/mm', 13: 'exp7_y/mm', 14: 'exp7_lB/mm' 15: 'exp8_y/mm' 16: 'exp8_lB/mm' 17: 'exp9_y/mm' 18: 'exp9_lB/mm' 19: 'exp10_y/mm' 20: 'exp10_lB/mm' 21: 'exp11_y/mm' 22: 'exp11_lB/mm' 23: 'exp12_y/mm' 24: 'exp12_lB/mm' 25: 'exp13_y/mm' 26: 'exp13_lB/mm' 27: 'exp14_y/mm' 28: 'exp14_lB/mm' 29: 'exp15_y/mm' 30: 'exp15_lB/mm' 31: 'exp16_y/mm' 32: 'exp16_lB/mm' 33: 'exp17_y/mm' 34: 'exp17_lB/mm' 35: 'exp18_y/mm' 36: 'exp18_lB/mm' 37: 'exp19_y/mm' 38: 'exp19_lB/mm' 39: 'exp20_y/mm' 40: 'exp20_lB/mm' 41: 'exp21_y/mm' 42: 'exp21_lB/mm' 43: 'exp22_y/mm' 44: 'exp22_lB/mm' 45: 'exp23_y/mm' 46: 'exp23_lB/mm' 47: 'exp24_y/mm' 48: 'exp24_lB/mm' 49: 'exp25_y/mm' 50: 'exp25_lB/mm' 51: 'exp26_y/mm' 52: 'exp26_lB/mm' Details zum Versuchsaufbau, den Auswerteroutinen sowie den Messunsicherheiten sind der zugehörigen Dissertationsschrift und den Veröffentlichungen zu entnehmen.
This data set was collected as part of the priority program "Reactive Bubbly Flows" of the German Research Foundation. The chemical absorption of CO2 in sodium hydroxide solution in a borosilicate glass capillary with a cross-section of 2 mm × 2 mm was considered. The experimental conditions led to the formation of the reactive gas/liquid Taylor flow, a stable and reproducible flow pattern Using a specially adapted laser Raman analysis system, the concentration profiles of the products carbonate and bicarbonate in the plug between the bubbles could be determined. The two techniques, Mach-Zehnder off-axis holography and the direct shadow method, were used equivalently and synchronized to the Raman system to acquire additional information regarding bubble size and velocity as well as the position of the Raman measurement relative to the bubble. The temporally and spatially resolved measurements experimentally collected in this work form the basis for a better understanding of gas/liquid reactions. They will be used to validate existing and new three-dimensional CFD models that consider hydrodynamics, mass transfer and transport as well as reaction and their interaction in the Taylor flow.
Dieser Datensatz wurde im Rahmen des Schwerpunktprogramms „Reaktive Blasenströmungen“ der Deutschen Forschungsgemeinschaft erhoben. Betrachtet wurde die chemische Absorption von CO2 in Natronlauge in einer Borosilikatglaskapillare mit einem Querschnitt von 2 mm × 2 mm. Die vorliegenden Versuchsbedingungen führten zur Ausbildung der reaktiven Gas/Flüssig-Taylor-Strömung, einer stabilen und reproduzierbaren Strömungsform. Mithilfe eines speziell adaptierten Laser-Raman-Analysesystems konnten die Konzentrationsprofile der Produkte Karbonat und Bikarbonat im Pfropfen zwischen den Blasen ermittelt werden. Die beiden Techniken, Mach-Zehnder-Off-Axis-Holographie und das direktes Schattenverfahren, wurden äquivalent verwendet und auf das Raman-System synchronisiert. So konnten zusätzliche Informationen bezüglich der Blasengröße und -geschwindigkeit sowie der Position der Raman-Messung relativ zur Blase erfasst werden. Die im Rahmen dieser Arbeit experimentell erhobenen zeit- und ortsaufgelösten Messungen bilden die Grundlage für ein besseres Verständnis von Gas/Flüssig-Reaktionen. Sie sollen zur Validierung bestehender und neuer dreidimensionaler CFD-Modelle dienen, welche die Hydrodynamik, den Stoffübergang und -transport sowie die Reaktion und deren Zusammenspiel bei der Taylor-Strömung berücksichtigen.
CO2-Absoption in Natronlauge bei der Taylor-Strömung in Millikanälen - Konzentrationsprofile im Slug
Fraunhofer Institut für System- und Innovationsforschung
Übersicht KAMO-Datensätze: www.kamo.one/datensatz
Raw Data behind publication "Waviness Affects Friction and Abrasive Wear"
Raw Data to Publication in Tribology Letters "Waviness Affects Friction and Abrasive Wear"
files consists of data from following sensors, obtained during experiments: • rugged field meter IDB systems I • static field meter IDB systems • electrometer • resistance meter station • pipework thermocouples T • pressure sensor • mass flow sensor • near‐field weather station • far‐field wind sensor • far‐field humidity sensor
Electrostatic Ignition (Summary of experiment series E4.3 results)
Simulated concentration data for birch pollen, birch SPP and hydrometeors and atmospheric variable (Part 18)
Motor Research Data Repository Karlsruhe Institut für Technologie
Coppenolle v., H., Boeths, W., Goris, M. & Refelgham v., F. (1983). Der diagnostischeund prognostische Wert einzelner sportmotorischer Tests für den Fosbury-Flop.Lehre der Leichtathletik, 6, 179-182.
Motor Research Data Repository, Karlsruhe Institute of Technology
Centre Inria de l'université de Bordeaux
1.8 million ECGs derived from multiscale simulations of cardiac electrophysiology of ventricular extrasystoles. 1000 anatomical variants of a bi-ventricular mesh x 600 excitation origins x 3 heart positions in the torso.
In silico electrocardiograms of 1.8 million ventricular extrasystoles and corresponding activation maps (part 1)
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications. To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for more than a year under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells. The dataset includes result data (such as the remaining usable capacity or impedance measured in check-ups) and raw data (i.e., measurement logs with two-second resolution). The data can be used in a wide range of applications, for example, to model battery degradation, gain insight into lithium plating, optimize operation strategies, or test battery impedance or state estimation algorithms using machine learning or Kalman filtering.
The data is described in detail in the open-access publication "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell" published in Nature Scientific Data under the DOI: 10.1038/s41597-024-03831-x, also see “Related identifier”. An updated dataset is published under the DOI 10.35097/1969 (result data, e.g., capacity fade and impedance increase) and 10.35097/kww7jv8ajuvchcah (log data), also see “Related identifier”. Python example code to read, process, and visualize the data is provided in the GitHub repository: https://github.com/energystatusdata/bat-age-data-scripts/ Note: The "cell_eisv2.zip" file in this dataset is incomplete and only contains data for cells P001_1 to P044_2. The corrected file "cell_eisv2_fixed.zip" containing data for all 228 cells P001_1 to P076_3 can be found in the dataset “Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"” with the DOI 10.35097/krk531nmj4bsshha (see “Related identifier”).
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]
Electrochemical data: GCPL and CV measurements of Mo-foil, powder and Co3O4 coated on Mo-foil. ICP-OES: Measurement of dissolved Mo in AlCl3:EMImCl (1.5:1) ionic liquid electrolyte. NMR: 1H- and 13C-NMRs of pure ionic liquid electrolyte and after soaking of Mo. UV-VIS: Pure ionic liquid electrolyte and after soaking Mo, diluted with 1,2-Difluorobenzene. XPS: Survey and Mo spectra on Al-foil stopped at 0.3V. PPMS: Magnetic measurements of Mo-foil/powder, pure ionic liquid and after soaking Mo, which results in a change of color of the electrolyte.
Rechargeable aluminum batteries (RABs) using Lewis acidic aluminum chloride–1-ethyl-3-methylimidazolium chloride (AlCl3-EMImCl) ionic liquid electrolytes are promising alternative energy storage systems. Molybdenum (Mo), often used as a current collector, is typically considered stable with negligible redox activity in such electrolytes. However, this study shows that Mo reacts with AlCl3-EMImCl (1.5:1) electrolyte. When Mo-foil or powder is im-mersed, the initially colorless/yellowish ionic liquid turns red, indicating Mo dissolution. Magnetometry confirms the presence of Mo species with localized unpaired electrons in the red liquid, not found in metallic Mo. UV-VIS spec-troscopy reveals Mo3+ and Mo4+ species formation. ICP-OES shows 1.99±0.06 mass-% of Mo dissolves in the electro-lyte. Due to Mo’s instability, cyclic voltammetry (CV) and galvanostatic cycling with potential limitation (GCPL) show increasing redox activity over cycles, similar to unstable Platinum (Pt), with a discharge capacity of ~136 mAh.g-1 at 20 mA.g−1 after 100 cycles. X-ray photoelectron spectroscopy (XPS) indicates three oxidation states of Mo (Mo4+/5+/6+) on the aluminum negative electrode, due to Mo-cation migration and adsorption. Covering the Mo current collector with electrochemically inactive Co3O4 suppresses Mo reactivity by reducing active Mo surface area. These findings demonstrate Mo’s significant impact on AlCl3-based RABs’ electrochemical performance, which is not negligible.
Dissolution of Molybdenum Current Collector as Crucial and Undesired Process in Aluminum Batteries
Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part2
Updated version see relations. The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year. Users of the IDL data language can use the programs which are delivered as an archive, too.
The data set comprises temperature data of the Earth's middle atmosphere region for the years 2002-2012 as rerieved from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
IMK/IAA MIPAS temperature retrieval version 8: nominal measurements
This folder contains videos of face masks (Mask) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V3 (videos)
This data package contains all datasets required to reproduce the plots presented in the manuscript egusphere-2025-402. nfluence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics During the Australian New Year's Event: A Study Using Convection-Resolving Simulations and Satellite Data [ACP]
The folder 3dwinds includes height retrieval data from the NASA 3D Wind Algorithm, which is based on Himawari-8 and MODIS Level 1B in the blue band. Access to this algorithm was granted by Dr. James Carr (jcarr@carrastro.com) and is subject to his approval. The ICON-ART Raw Data of the model output files is zipped for three experiments: model_output_REF.tar.gz (REF), model_output_SH.tar.gz (SH), and model_output_SHLH.tar.gz (SHLH). The folder fire_input+domain includes the fire input file as it is read into the ICON-ART model, along with the model domain grid file. Additionally, the file fire_archive_M-C61_611434.csv contains MODIS active fire product data. The original dataset can be accessed via NASA FIRMS at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/mcd14ml.
ICON-ART Simulations and Satellite Observations from Influence of Fire-Induced Heat and Moisture Release on Pyro-Convective Cloud Dynamics during the Australian New Year’s Event: A Study Using Convection-Resolving Simulations and Satellite Data (egusphere-2025-402)
The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) was operated on board the German High Altitude and Long Range Research Aircraft (HALO) during the PGS (POLSTRACC/GW-LCYCLE/SALSA) aircraft campaigns in the Arctic winter 2015/2016. Research flights were conducted from 17 December 2015 until 18 March 2016 within 25–87°N, 80°W–30°E. From the GLORIA infrared limb-emission measurements, two-dimensional cross sections of temperature, HNO3, O3, ClONO2, H2O and CFC-12 are retrieved. During 15 scientific flights of the PGS campaigns the GLORIA instrument measured more than 15000 atmospheric profiles at high spectral resolution. Dependent on flight altitude and tropospheric cloud cover, the profiles retrieved from the measurements typically range between 5 and 14km, and vertical resolutions between 400 and 1000m are achieved. The estimated total (random and systematic) 1σ errors are in the range of 1 to 2K for temperature and 10% to 20% relative error for the discussed trace gases.
For a detailed description, discussion and validation of the data, please read: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., and Oelhaf, H.: Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS, Atmos. Meas. Tech., 11, 4737-4756, https://doi.org/10.5194/amt-11-4737-2018, 2018.
GLORIA Chemistry Mode temperature and trace gas retrievals from the POLSTRACC/GW-LCYCLEII/GWEX/SALSA campaigns 2015/2016
Dynamic multi-focus 3D laser nanoprinting based on two-step absorption and computational holography
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V5 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V1 (videos)
This folder contains videos of small plastic films (Film_HDPE_15) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_15_V1 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V3 (videos)
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V5) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V5 (videos)
This folder contains videos of full plastics cups (Cup_PP_98) being transported with a given flow condition (V3) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_98_def_V3 (videos)
This folder contains videos of face masks (Mask) being transported with a given flow condition (V1) in physical laboratory experiments.
Surfaced and suspended plastic: Mask_V1 (videos)
This repository contains data for reproducing results in "Hail Trajectories in a Wide Spectrum of Supercell-like Updrafts". Onefile.F and namelist.input provide the CM1 model code for the control simulation (also see Fischer and Dahl 2020 for details on how to implement the heat source by searching for the iheat parameter and modifying the heat source parameters) and the .tar.gz files contain all trajectories from the named simulations E1 to E4, S0.05 to S0.21 and R4000 to R8000 (name endings correspond to R, S_0, and heat source depth used, see table in paper appendix). Column values for each trajectory file represent [x,y,z,size]. For additional data please contact the corresponding author.
CM1 code and trajectories for "Hail Trajectories in a Wide Spectrum of Supercell-like Updrafts" by Jannick Fischer et al.
The fog and low stratus formation and dissipation data set consists of yearly netcdf files. The data set covers the Namib desert, over the years 2004-2018. The projection is WGS 84. The following data variables are contained in the data set: diss_time: Dissipation time as timestamp for up to 5 events per day. diss_dur_time: Dissipation duration time for up to 5 events per day. form_time: Formation time as timestamp for up to 5 events per day. form_dur_time: Formation duration time for up to 5 events per day.
EP: Funding from the German States (Landesgraduiertenförderung (LGF)) - (scholarship)
fog, low stratus, fog formation, fog dissipation, Namib desert, SEVIRI
Satellite-based fog and low stratus cloud formation and dissipation times data set over the Namib Desert
Satellite-based fog and low stratus cloud formation and dissipation time data set over the Namib Desert
This dataset delivers data points of the diagrams in the publication: "Impact of CeCo-Coated Metallic Interconnectors on SOCs Towards Performance, Cr-Oxide-Scale, and Cr-Evaporation" DOI: 10.1149/1945-7111/ad44da
Research data of the publication: Impact of CeCo-Coated Metallic Interconnectors on SOCs Towards Performance, Cr-Oxide-Scale, and Cr-Evaporation
This folder contains videos of fragments of plastic cups (Cup_PP_05) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_05_V2 (videos)
This folder contains videos of fragments of plastic cups (Cup_PP_50) being transported with a given flow condition (V2) in physical laboratory experiments.
Surfaced and suspended plastic: Cup_PP_50_V2 (videos)
This folder contains videos of plastic films (Film_HDPE_100) being transported with a given flow condition (V4) in physical laboratory experiments.
Surfaced and suspended plastic: Film_HDPE_100_V4 (videos)
This data set is an update of 10.35097/95h7fq3jdupf4j81 which only has changes of the retrieved CH2Cl2 concentrations due to more recent spectroscopic data.
GLORIA PHILEAS Level2 (Version 2026-03-17)
The dataset presents a comparative analysis of results obtained from three distinct cell configurations: a commercial full-cell, an experimental cell in a three-electrode setup, and symmetrical cells. Electrochemical impedance spectroscopy (EIS), distribution of relaxation times (DRT), and nonlinear frequency response analysis (NFRA) were conducted at four different states-of-charge: 100%, 80%, 50%, and 20%. The measurements were performed at 23°C using Zahner Zennium Electrochemical Workstation. The derivation of distribution of relaxation times (DRT) from EIS spectra was conducted using the software tool "All-Fit" in MATLAB, developed in-house (IAM-ET). NFRA data includes measurements of the second harmonic, Y2, and third harmonic, Y3, which provide valuable insights into the nonlinear response of the investigated system.
Research Data for the Publication "Full-, half-, and symmetrical cell analysis of lithium-ion battery using impedance and nonlinear frequency response"
In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 2 with embedded metal thread. 2: Empty measurement with the same parameters as the gelatin phantom 2, 1 aperture position.
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 1 (plastic cup with gelatin an water inclusions) 2: Empty measurement with the same parameters as the gelatin phantom 1
Improvements to the signal-to-noise ratio of magnetic resonance detection lead to a strong reduction in measurement time, yet as a sole optimization goal for resonator design, it would be an oversimplification of the problem at hand. Multiple constraints, for example for field homogeneity and sample shape, suggest the use of numerical optimization to obtain resonator designs that deliver the intended improvement. Here we consider the 2D Lenz lens to be a sufficiently broadband flux transforming interposer between the sample and a radiofrequency (RF) circuit and to be a flexible and easily manufacturable device family with which to mediate different design requirements.We report on a method to apply topology optimization to determine the optimal layout of a Lenz lens and demonstrate realizations for both low- (45 MHz) and high-frequency (500 MHz) nuclear magnetic resonance.
Data sets used for plotting graphs in the figures and AutoCAD files for the designs of "Topologically optimized magnetic lens for magnetic resonance applications"
Topologically optimized magnetic lens for magnetic resonance applications
This is the Version 2 of databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing. The only difference of version 2 of the databank to the initial version of WAVAS-SAHAR is the MLS entry on ALT grid : in the version 2 the regridding was performed using the geometrical altitudes from Derived Meteorological Products (DMPs) for MLS profiles.
Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR) - Version 2
ASCII tables of experimental curves and Figures in PPT Presenations
Powders of multidomain magnetite were subjected to fatigue-related cyclic loading at ambient conditions between 30 and 500°C using a dynamical mechanical analysis system. The mechanical losses, tan δ, are sensitive to the loading frequency and correlate with decreasing coherent crystallite size of the magnetite and its lattice distortion. While the selected loading frequencies are similar to those observed during earthquake propagation, the observed signatures of magnetic fatigue are discussed towards understanding the physics of natural and human-induced seismic events.
Magnetic fatigue : Effect of seismic-related loading on magnetic and structural behavior of magnetite
Bundesministerium für Wirtschaft und Energie
Helmholtz-Zentrum für Informationssicherheit
Measurement studies are essential for research and industry alike to understand the Web's inner workings better and help quantify specific phenomena. Performing such studies is demanding due to the dynamic nature and size of the Web. An experiment's careful design and setup are complex, and many factors might affect the results. However, while several works have independently observed differences in the outcome of an experiment (e.g., the number of observed trackers) based on the measurement setup, it is unclear what causes such deviations. This work investigates the reasons for these differences by visiting 1.7M webpages with five different measurement setups. Based on this, we build `dependency trees' for each page and cross-compare the nodes in the trees. The results show that the measured trees differ considerably, that the cause of differences can be attributed to specific nodes, and that even identical measurement setups can produce different results.
This repository hosts the dataset corresponding to the paper "On the Similarity of Web Measurements Under Different Experimental Setups", which was published at the Proceedings of the 23nd ACM Internet Measurement Conference 2023.
Dataset: On the Similarity of Web Measurements Under Different Experimental Setups
The data set comprises CFC-12 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-12_61), RR-NOM (2005 - 2012, F-12_261), RR-UTLS-1 (2005 - 2007, F-12_161), and RR-MA (2005 - 2012, F-12_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-12 R-12 Freon 12 Dichlorodifluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-12: the data set
The data set comprises CFC-11 data of the Earth's middle atmosphere region for the years 2002-2012 as derived from MIPAS on Envisat and retrieved with the IMK/IAA level-2 processor. The MIPAS observation modes FR (2002 - 2004, F-11_61), RR-NOM (2005 - 2012, F-11_261), RR-UTLS-1 (2005 - 2007, F-11_161), and RR-MA (2005 - 2012, F-11_561) are covered. The data version is V8.
MIPAS middle atmosphere stratosphere mesosphere UTLS CFC-11 R-11 Freon 11 Trichlorofluoromethane
Version 8 IMK/IAA MIPAS measurements of CFC-11: the data set
The dataset contains model output from a large-eddy simulation of windstorm Thomas, which was sampled on 23 February 2017 during the WASTEX field campaign (see Pantillon et al. 2018). The ICOsahedral Nonhydrostatic (ICON) model was run with one-way nesting on four nested domains with 623, 311, 156 and 78 m grid spacing and 150 vertical levels over the Upper Rhine Valley. Only wind from 78 m data is available here. The data are saved in hourly files, e.g. at 06 UTC: LL_078m_wind_3D_10m_DOM04_ML_20170223T060000Z_zoom Files are in netCDF format with the following structure: netcdf LL_078m_wind_3D_10m_DOM04_ML_20170223T060000Z_zoom { dimensions: time = UNLIMITED ; // (6 currently) lon = 450 ; lat = 450 ; height = 40 ; bnds = 2 ; height_2 = 40 ; variables: double time(time) ; time:standard_name = "time" ; time:units = "day as %Y%m%d.%f" ; time:calendar = "proleptic_gregorian" ; time:axis = "T" ; double lon(lon) ; lon:standard_name = "longitude" ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; lon:axis = "X" ; double lat(lat) ; lat:standard_name = "latitude" ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; lat:axis = "Y" ; double height(height) ; height:standard_name = "height" ; height:long_name = "generalized_height" ; height:axis = "Z" ; height:bounds = "height_bnds" ; double height_bnds(height, bnds) ; double height_2(height_2) ; height_2:standard_name = "height" ; height_2:long_name = "generalized_height" ; height_2:axis = "Z" ; float ua(time, height, lat, lon) ; ua:standard_name = "eastward_wind" ; ua:long_name = "Zonal wind" ; ua:units = "m s-1" ; ua:param = "2.2.0" ; float va(time, height, lat, lon) ; va:standard_name = "northward_wind" ; va:long_name = "Meridional wind" ; va:units = "m s-1" ; va:param = "3.2.0" ; float wa(time, height_2, lat, lon) ; wa:standard_name = "upward_air_velocity" ; wa:long_name = "Vertical velocity" ; wa:units = "m s-1" ; wa:param = "9.2.0" ; Three-dimensional wind components are stored in variables "ua", "va" and "wa" as function of coordinates "time", "height/height_2", "lat" and "lon". They are saved for the 40 first vertical levels on a regular latitude/longitude grid on a zoomed 35x35km² domain in the neighborhood of Karlsruhe.
Large-eddy simulation during the Wind and Storms Experiment (WASTEX)
Simulations of spatially developing turbulent boundary layers with localized application of three different control techniques aimed at reduction of skin friction drag. Considered control techniques are uniform blowing, body-force damping of wall-normal velocity component and opposition control. Stroh, A., Hasegawa, Y., Schlatter, P., & Frohnapfel, B. (2016) "Global effect of local skin friction drag reduction in spatially developing turbulent boundary layer." Journal of Fluid Mechanics, 805, 303-321, doi: 10.1017/jfm.2016.545 https://doi.org/10.1017/jfm.2016.545 Key Data - pseudo-spectral solver SIMSON External Link - streamwise and spanwise periodicity of simulation domain - weak random forcing for turbulence tripping - Grid size Nx×Ny×Nz=3072×301×256 - Domain size Lx×Ly×Lz=3000×120×100 (based on initial displacement thickness) - uncontrolled flow: Reθ=400-2500, Reτ=170-850 - three control types: uniform blowing with 0.5%U∞, damping of wall-normal velocity component by imposition of body force and opposition control scheme - control region location: x=186-386 Please provide a reference to the article above when using this data. Please direct any questions to Alexander Stroh at alexander.stroh@kit.edu
Flow statistics of spatially developing turbulent boundary layers with localized application of three different control techniques aimed at reduction of skin friction drag.
Der Datensatz zur Dissertation "Entwicklung einer Systematik zur zukunftsrobusten Weiterentwicklung von Produktportfolios auf Basis des Modells der SGE – Systemgenerationsentwicklung" umfasst die drei Erarbeitungsstufen des Leitfadens zur Systematik zur zukunftsrobusten Weiterentwicklung von Produktportfolios. Enthalten sind zu jeder Erarbeitungsstufe eine Übersicht über den Leitfaden und die zugrundeliegenden Folien in bearbeitbarer Form sowie ein exemplarischer Durchlauf durch die letzte Version des Leitfadens.
Leitfaden zur Zukunftsrobusten Weiterentwicklung von Produktportfolios
PRESLHY Experiment series 4.4; Material of the ground: concrete
Institut für Hydromechanik (IFH), Karlsruher Institut für Technologie (KIT)
ANIMATIONS FROM "On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid" by Manuel Moriche, Daniel Hettmann, Manuel García-Villalba and Markus Uhlmann. J. Fluid Mech., 963:A1, 2023. DOI; 10.1017/jfm.2023.261 # Many-particle cases ## Flow configuration The animations correspond to the cases G111 and G152 described in table 1 from the original article. In these cases a set of many particles settle under gravity in a triply periodic configuration. The particles considered are oblate spheroids of aspect ratio 1.5 and the number of them is such that the solid volume fraction is 0.5%, which corresponds to the dilute regime. The cases differ from each other in the Galileo number: `G=sqrt((rhop/rhof-1)*g*D**3)/nu=110.56` and 152.02 for cases G111 and G152, respectively. The size of computational domain is approximately `[55x55x220]D**3`, where D is the diameter of a sphere with the same volume as the spheroids and the resolution used (`D/dx`) is approximately 21. The time is indicated in the videos is expressed in `D/Ug` units, where `Ug=sqrt((rhop/rhof-1)*abs(g)*D)` is a gravitationally scaled velocity. ## Content For each case there are different videos of the initial or converged state, or different representations of the flow/particles. The case, part of the video and representation is contained in the name of each video: 1. Case: - `G111`: Galileo 110.56. - `G152`: Galileo 152.02. 2. Time interval of the simulation: - `INITIAL`: First simulated time, including the time before releasing the particles (t<0). - `CONVERGED`: Statistically stationary part of the simulation. 3. Point of view: `bottom`, `iso`, `side` and `side_zoomed`. 4. Representation. In every video particles are always represented in pink and wakes with transparency isocontours of Q criterion. Additionally, isocontours of filtered vertical velocity are represented in two ways: - `low_speed`: The value to define the isocontour is similar to that of the mixture. In this representation the regions in which particles are located in clustering/non-clustering regions are easily identified. Dark blue face points to non-clustering, slow regions and light blue face points to clustering, fast regions. - `high_speed`: The value to define isocontour is approximately 50% larger than the average velocity of the mixture. Therefore, the isocontours (in yellow) indicate regions of where the downward velocity is greatly enhanced. - `only_wakes`: No flow velocity is represented. Only side zoomed view is available for this representation. # Drafting-kissing-tumbling For illustration purposes one animation is included (`DKT_animation.mp4`) of the drafting-kissing-tumbling simulations. The simulations have been performed for Galileo 110.56 with density ratio 1.5. The size of the computational domain measures `[10.66 x 10.66 x 21.33] D**3`. Four configurations are considered: - Free-to-rotate spheres (angular motion enabled). - Rotationally-locked spheres (angular motion suppressed). - Free-to-rotate spheroids of aspect ratio 1.5 (angular motion enabled). - Rotationally-locked spheroids of aspect ratio 1.5 (angular motion suppressed). In the animation the four configurations are shown for a single initial condition, namely the relative position of the trailing particle with respect to the leading particle is `[0.625, 7.5] D`. The particles are represented in green with a mesh that helps to visualize the rotation and contours of vertical velocity are shown in grey scale. # References: Manuel Moriche, Daniel Hettmann, Manuel García-Villalba and Markus Uhlmann, _"On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid"_, accepted in J. Fluid Mech. # History: __04.10.2022__ Creation and data added __06.02.2023__ DKT animation added # Contact [Manuel Moriche](mailto:manuel.guerrero@kit.edu) [Markus Uhlmann](mailto:markus.uhlmann@kit.edu)
Supplementary animations "On the clustering of low-aspect-ratio oblate spheroids settling in ambient fluid"
Detailed information on the GLORIA data can be found at: Johansson, S., Woiwode, W., Höpfner, M., Friedl-Vallon, F., Kleinert, A., Kretschmer, E., Latzko, T., Orphal, J., Preusse, P., Ungermann, J., Santee, M. L., Jurkat-Witschas, T., Marsing, A., Voigt, C., Giez, A., Krämer, M., Rolf, C., Zahn, A., Engel, A., Sinnhuber, B.-M., & Oelhaf, H. (2018), Airborne limb-imaging measurements of temperature, HNO3, O3, ClONO2, H2O and CFC-12 during the Arctic winter 2015/2016: characterization, in situ validation and comparison to Aura/MLS. Atmos. Meas. Tech., 11, 4737–4756. doi.org/10.5194/amt-11-4737-2018 Ungermann, J., Kleinert, A., Maucher, G., Bartolomé, I., Friedl-Vallon, F., Johansson, S., Krasauskas, L., & Neubert, T. (2022), Quantification and mitigation of the instrument effects and uncertainties of the airborne limb imaging FTIR GLORIA. Atmos. Meas. Tech., 15, 2503–2530. doi.org/10.5194/amt-15-2503-2022 Detailed information on the ALIMA data can be found at: Rapp, M., Kaifler, B., Dörnbrack, A., Gisinger, S., Mixa, T., Reichert, R., Kaifler, N., Knobloch, S., Eckert, R., Wildmann, N., Giez, A., Krasauskas, L., Preusse, P., Geldenhuys, M., Riese, M., Woiwode, W., Friedl-Vallon, F., Sinnhuber, B., Torre, A. d. l., Alexander, P., Hormaechea, J. L., Janches, D., Garhammer, M., Chau, J. L., Conte, J. F., Hoor, P., & Engel, A. (2021), SOUTHTRAC-GW: An Airborne Field Campaign to Explore Gravity Wave Dynamics at the World’s Strongest Hotspot. Bulletin of the American Meteorological Society, 102(4), E871-E893. doi.org/10.1175/BAMS-D-20-0034.1 Kaifler, B., & Kaifler, N. (2021), A Compact Rayleigh Autonomous Lidar (CORAL) for the middle atmosphere. Atmos. Meas. Tech., 14, 1715–1732. doi.org/10.5194/amt-14-1715-2021 Detailed information on the BAHAMAS data can be found at: Krautstrunk, M., & Giez, A. (2012), The Transition from FALCON to HALO era airborne atmospheric research. in: Atmospheric Physics, edited by: Schumann, U., Research Topics in Aerospace, Springer Verlag, Berlin, 609–624. doi.org/10.1007/978-3-642-30183-4_37 Giez, A., Mallaun, C., Nenakhov, V., & Zöger, M. (2021), Calibration of a Nose Boom Mounted Airflow Sensor on an Atmospheric Research Aircraft by Inflight Maneuvers (Tech. Rep. No. 2021-17). Oberpfaffenhofen: DLR. Retrieved from https://elib.dlr.de/145969/
This dataset includes airborne observations together with forecasts and analyses that were used to study non-orographic gravity waves during research flight ST10 of the SouthTRAC campaign. The flight was carried out by the German research aircraft HALO (High Altitude and LOng Range Research Aircraft) on 16 and 17 September 2019 from Rio Grande, Tierra del Fuego, Argentina. The airborne observations include remote sensing observations of temperature and trace gases by GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere by KIT and Forschungszentrum Jülich) and temperature by ALIMA (Airborne LIdar for Middle Atmosphere research by DLR-IPA). Furthermore, airborne in situ observations of temperature, the three wind components and further parameters by BAHAMAS (Basic Halo Measurement and Sensor System by DLR-FX) at a data rate of 10 Hz and 100 Hz are included. The observations are also available via the HALO database (https://halo-db.pa.op.dlr.de/ongoing_subset/1108). The forecasts and analyses include deterministic short-term forecasts and six-hourly operational analyses from the integrated forecast system (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF). ECMWF IFS data are available at https://www.ecmwf.int/en/forecasts. The terms of use by the ECMWF apply.
GLORIA, ALIMA, BAHAMAS and ECMWF IFS data for SouthTRAC flight 10 from 16 to 17 September 2019
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Nickel-rich stoichiometries such as NMC811 have gained increasing relevance for lithium-ion-batteries in recent years due to their high specific capacity and reduced use of critical resources. However, low intrinsic electronic conductivity of NMC active materials makes the use of carbon-based additives necessary. Volume fraction and distribution of the carbon-binder-domain (CBD) have a significant impact on the electrode performance. This work combines high-resolution tomography and microstructure-resolved simulations to characterize the three-dimensional transport networks of a commercial NMC811 cathode. FIB-SEM tomography reveals that low CBD volume fractions with suboptimal distribution cause a non-percolating conductive network in the microstructure and thus unfavourably low electronic conductivity. Increasing the CBD content through virtual electrode design enables percolation and enhances electronic conductivity fundamentally. Simulations on both the real and virtually designed structures demonstrate how percolating CBD networks lead to a significantly improved energy density.
Full research data is provided for figures 2c, 3, 5, S2, S3 and S4. Large 3D datasets are available upon request. Discharge curves (experimental and simulation) are provided with cell potential, time and areal discharge capacity.
Research Data if the Publication "Analyzing and improving conductive networks in commercial high-energy Ni-rich cathodes"
Institut für Thermische Energietechnik und Sicherheit (ITES), Karlsruher Institut für Technologie (KIT)
Dieser Beitrag enthält die experimentellen Daten eines Festbett-Wärmespeichers mit Blei-Bismut-Eutektikum als Modellwärmeträgerfluid. Der Datensatz des sogenannten VESPA-Experiments umfasst Lade- und Entladeexperimente in einem Péclet-Zahlen-Bereich von $0,06$ bis $0,32$ und Temperaturdifferenzen im Speicher von $70~\mathrm{K}$ und $200~\mathrm{K}$.
In this contribution, the experimental data of a packed‑bed thermal energy storage system using a lead‑bismuth eutectic as model heat‑transfer fluid at laboratory scale are provided. The data set from the so‑called VESPA experiment includes charging and discharging experiments covering a Péclet number range from $0.06$ to $0.32$ and temperature differences in the storage of $70~\mathrm{K}$ and $200~\mathrm{K}$.
Raw data from a packed-bed thermal energy storage system during charging and discharging, using liquid metals as heat transfer fluid, is provided in CSV format. Technical drawings of the experimental setup are provided in PDF format.
Experimental Data from a Packed-Bed Thermal Energy Storage System Using Liquid Metal as Heat Transfer Fluid during Charging and Discharging
3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Organic phantom: olive embedded in turkey steak and gelatin. 2: Empty measurement with the same parameters as the organic phantom.
Data to reproduce the figures in Manuscript is provided in txt format with comma deliminiter.
Improved Identifiability of Kinetic Parameters in Lithium-Ion Batteries via Nonlinear Frequency Response Analysis
The files contain all datapoints that are displayed in the figures of the manuscript. Additionally, all recorded polarization resistances are included in the files “all_measurements_XXX_cellXX.csv”, which were shown in Figure S2 and S3.
Assessing the H2S-induced resistance increase of a Ni/GDC cermet electrode under OCV and cathodic polarization
Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University Bratislava; Institute of Inorganic Chemistry, Slovak Academy of Sciences
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology
Institute of Catalysis Research and Technology, Karlsruhe Institute of Technology; Institute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology
Scanning electron microscopy images are provided as tif files named according to the figure number in the manuscript. Short notations highlighting the sample condition are added. Additional micrographs not presented in the manuscript are highlighted by "-add". All micrographs are taken with backscattered electron contrast. Orientation imaging microscopy data by electron backscatter diffraction is provided in the form of jpg files of inverse pole figure color coded maps (for both phases BCC and C14). The legends of the inverse pole figure maps are added as well. The images are 40 x 40 µm² with 0.1 µm step size. Additionally, image quality maps were added. Number data is provided as ASCII files with tabulator separation. Files including multiple sample conditions contain columns with “condition” designation.
Raw Data to "Microstructure and mechanical properties of a precipitation-strengthened Fe-Al-Nb alloy"
This archive contains warm conveyor belt mask of ERA5 reanalysis data for the years 1979 to 2023. The ML-model ELIAS2.0. using a U-Net convolutional neural network predicts conditional probabilities of WCB inflow, ascent, and outflow footprints from instantaneous gridded fields, offering a computationally efficient alternative to trajectory-based approaches. The ML-model was introduced by Quinting and Grams (2022). The WCB inflow is defined as the part of the WCB in the lower troposphere, below 800 hPa, the WCB ascent as the part of the WCB between 800 and 400 hPa, and the WCB outflow the region above 400 hPa. ELIAS2.0. is trained for each WCB stage separately and uses a total of five predictors: four are derived from temperature, geopotential height, specific humidity, and the horizontal wind components at 1000, 925, 850, 700, 500, 300, and 200 hPa isobaric surfaces and the fifth is the 30-day running mean trajectory-based climatology of WCB occurrence frequency. In this data archive, the ML-model is applied to ERA5 reanalysis data with a 6 h temporal resolution and remapped from 0.28° to a regular 1° latitude–longitude grid.
EuLerian Identification of ascending AirStreams (ELIAS 2.0)
Synchrotron X-ray microtomographic data of 45 female uropodid mites highlighted in Naredo et al. 2025. The original tomograms were converted to 8 bit, aligned and cropped and the background was removed.
The data set comprises ozone data of the Earth's middle atmosphere region for the years 2005-2012 as derived from the middle atmosphere (O3_561), upper atmosphere (O3_661), and noctilucent cloud (O3_761) measurement modes mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
MIPAS ozone retrieval version 8: middle atmosphere measurements; the data set
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_172 located at Mittewald, Italy (46.806967°N, 11.571978°E, 804 m) during the TEAMx field campaign from May to July 2025. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, DBS, vertical stares, and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Mittewald, TEAMx, Level 2 wind profiles
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS200s_159 located at Gargazon, Italy (46.5767°N, 11.2°E, 255 m) during the TEAMx field campaign from May to July 2025. The instrument was placed on a container with 2.59 m height. The heights and the altitude refer to the position of the instrument. For the wind profile calculation, DBS, vertical stares, and RHI scans are used. RHI scans were carried out in four directions (along- and cross-valley). The vertical profiles of the 3D wind vectors are calculated using AtmoProKIT v1.1 with the standard module chain (https://doi.org/10.5194/gmd-19-2497-2026). The default values of the standard module chain are used for all processing parameters, except of the minimum elevation angle. To avoid hard targets (surrounding mountains), the minimum elevation angle for considered measurements is set to 30°. The temporal resolution of the processed wind profiles is 10 min and the vertical resolution is 100 m.
KITcube Doppler lidar measurements from Gargazon, TEAMx, Level 2 wind profiles
In many cases, the hybridization of two or more excitation modes in solids has led to new and useful dispersion relations of waves. Well-studied examples are phonon polaritons, plasmon polaritons, particle-plasmon polaritons, cavity polaritons, and magnetic resonances at optical frequencies. In all of these cases, the lowest propagating mode couples to a finite-frequency localized resonance. Herein, the unusual metamaterial phonon dispersion relations arising from the hybridization of an ordinary acoustical phonon mode with a back-folded soft or easy phonon mode of a monomode elastic metamaterial are discussed. Conceptually, the single easy mode can have strictly zero wave velocity. In reality, its wave velocity is very much smaller than that of all other modes. Considering polymeric 3D printed elastic monomode metamaterials at ultrasound frequencies, it is shown theoretically and experimentally that the resulting pronounced avoided crossing, with a frequency splitting comparable to the mid-frequency, leads to backward-wave behavior for the lowest band over a broad frequency range, conceptually at zero loss.
Dispersion Engineering by Hybridizing the Back-Folded Soft Mode of Monomode Elastic Metamaterials with Stiff Acoustic Modes
Institut für Angewandte Materialien – Angewandte Werkstoffphysik (IAM-AWP), Karlsruher Institut für Technologie (KIT)
T1 = 48.0Ti-25.0Mo-12.0Ta-10.0Cr-5.0Al (at.%) T2 = 44.0Ti-20.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) T3 = 54.0Ti-10.0Mo-15.0Ta-15.0Cr-6.0Al (at.%) Liquid = liquid phase BCC_A2 = A2 solid phase BCC_A2 = B2 solid Phase Laves_C15 = C15 solid Laves phase AC = as-cast condition HT = homogenized and furnace-cooled condition 800C_1000h = 800 °C/1000 h heat-treated in glass ampoule and water-quenched 1000C_1000h = 1000 °C/1000 h heat-treated in glass ampoule and water-quenched 10 Kpmin = heating rate of 10 K/min 40 Kpmin = heating rate of 10 K/min RT = room temperature 400C = 400 °C 600C = 600 °C 800C = 800 °C 900C = 900 °C 1000C = 1000 °C Fig. 1: Thermodynamic calculations from FactSage, temperature T in °C vs. atomic phase fraction in 1 Fig. 2: Scanning electron micrographs (backscattered electron contrast imaging) in AC and heat-treated condition Fig. 3: X-ray diffaction patterns with intensity in 1 vs. 2Theta in ° Fig. 4: Differential scanning calorimetry data with heat capacity Cp in J/(g*K) vs. temperature in °C and time in min (proprietary *.xlxs file) Fig. 5: Compression test results in proprietary *.tra files that require TestExpert Software Fig. 7: Scanning electron micrographs (backscattered electron contrast imaging) after compression tests Fig. S1: Thermodynamic calculations from Pandat with PanRHEA, temperature T in °C vs. atomic phase fraction in 1
Data from "Design of lightweight high temperature structural materials based on refractory compositionally complex alloys, Part I: mechanical properties and phase stability"
Data concerning UV Vis, IR and NMR spectroscopic meassurements
A series of monometallic Al(III), Sm(III), Dy(III), Er(III), and Yb(III) complexes, featuring tetraphenyldiphosphine monoxide (PPO) as a ligand, were synthesised and characterised. These complexes served as precursors for the construction of heterobimetallic rare earth (RE)–transition metal (TM) assemblies. Attempts to introduce soft TMs, such as Cu(I) and Au(I), into the pre-formed RE–PPO synthons predominantly afforded equilibrium-driven TM-based POP species, underscoring the challenges of incorporating hard and soft metal centres directly. This observation led to an alternative route employing a pre-synthesised Mo–PPO synthon, which led to the successful formation of RE–Mo heterobimetallic complexes upon addition of the RE ions. The molecular structures of both mono- and heterobimetallic species were strongly influenced by the solvent environment. Notably, reactions in dichloromethane, a non-coordinating solvent, yielded RE2 complexes featuring chloride bridges, a motif absent when coordinating solvents, such as THF or MeCN were employed. This solvent-dependent structural divergence offers a straightforward strategy for modulating the metal nuclearity. Remarkably, all RE ions in the resulting complexes adopt an uncommon octahedral coordination geometry, attributed to the steric and electronic constraints imposed by the PPO ligand at the hard–soft interface.
Cooperative Chemistry at the Hard–Soft Interface: Phosphine Oxide-Based Rare Earth–Transition Metal Complexes
Updated version of the landscape-level prediction maps of standig deadwood from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (https://doi.org/10.1016/j.ophoto.2023.100034) The prediction maps are for the years 2018 to 2021 and for all federal states in Germany. Files are named according to ISO 3166-2 and year, respectively. Sentinel-2 timeseries were created using the FORCE "Framework for Operational Radiometric Correction for Environmental monitoring": Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124 (https://doi.org/10.3390/rs11091124)
Data package v2: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
Wind profiles processed from measurements of the Doppler lidar Leosphere WLS7-1489 located at Sulz am Neckar, Germany (48.38663°N, 8.58486°E, 648 m) during the Swabian MOSES 2023 field campaign from May to August 2023. The instrument was placed on the ground. For the wind profile calculation, DBS scans at 62° elevation are used. The maximum considered vertical measurement height is 340 m AGL.
KITcube Doppler lidar measurements from Sulz am Neckar, Swabian MOSES 2023, Level 2 wind profiles
Electrical Conductivity and Photodetection in 3D-Printed Nanoporous Structures via Solution-Processed Functional Materials
The data of each figure is generally structured in a way that i) the linestyle is used to differentiate multiple curves within the same plot and ii) the color is used to subdivide the plot data into multiple files in case of ambiguity. For instance, data corresponding to a solid line is given by the two columns "xData_solid" and "yData_solid". The same naming structure is used for dashed lines, i.e., "xData_dashed" and "yData_dashed", and dotted lines, i.e., "xData_dotted" and "yData_dotted". To differentiate lines or bars with the same color, the data files are explicitly labeled with the respective legend entry. For example, a C-rate test comprising C/10, 1C and 2C discharge is organized into three distinct files, each file corresponding to one of the C-rates. The values in each data file are given in the units specified in the corresponding figure of the manuscript. In labels, a C-rate of C/10 and C/2 is described as "C10" and "C2", respectively. C-rates above 1C are used verbatim. For details on the performed experimental study, see the Experimental Section in the manuscript. For information about the SEI-extended cell model and its parameterization, see Computational Methods in the manuscript.
Research Data of the Publication "Origin of Performance Improvements in Lithium-Ion Cells after Fast Formation"
Differentiation and Cultivation of Retinal Cells in a Defined 3D Environment
Differenzierung und Kultivierung von retinalen Zellen in einer definierten 3D-Umgebung
Channel Geometry Scaling Effect in Printed Inorganic Electrolyte-Gated Transistors
WIRELINE HYDRAULIC FRACTURING STRESS MEASUREMENTS IN BOREHOLES DAMAST-KIT-2, DAMAST-KIT-4 AND DAMAST-KIT-N1
Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division Technical Petrophysics
Bundesministerium für Forschung, Technologie und Raumfahrt
WIRELINE HYDRAULIC FRACTURING STRESS MEASUREMENTS IN BOREHOLES KIT-2, KIT-4 AND NENSKRA, GEORGIA FINAL REPORT
Data of Multimodal Monitoring and Closed-Loop Stabilization of Near-Field Electrospinning for Long-Duration Direct-Write Fiber Manufacturing
# kinetic Monte-Carlo nanoparticle simulation This kinetic Monte-Carlo simulation uses the [alpha energies](https://pubs.acs.org/doi/abs/10.1021/acscatal.3c04337) and 4 subsurface tst energies to simulate the structural changes of nanoparticles alloys. ## Overview ### Accurate energy model The [alpha energy](https://pubs.acs.org/doi/abs/10.1021/acscatal.3c04337) model gives an accurate description of atom bindings. These values have to be calculated once for the metal in question and can then be used to simulate any structure. ### High performance Despite the energy taking the surrounding of the neighbors into account the Simulation is able to run 10^10 Iterations in one day. Enabling a longer Simulated time. ### Multithreaded Running multiple Simulations in different threads reduces the required memory as the largest memory usage comes from loading the precomputed grid structure. By running multiple simulations in parallel the grid structure only has to be read once. You can run multiple temperatures in parallel an run every temperature multiple times to ensure a more representative result. ### Track the Simulation using the xyz format or a compact binary Throughout the simulation it is possible to track the energy and save snapshots. While more snapshots will give a more detailed representation of the simulation they also slow it down and increase the size of the output-file. ## Usage ### Requirements - [Rust](https://www.rust-lang.org/tools/install) - [Python](https://www.python.org/) used version 3.11.10 - [ASE](https://wiki.fysik.dtu.dk/ase/) *used version: ase-3.22.1* ### Install from git ```bash git clone git@github.com:T-136/kmc_cluster_simulation_rs.git ``` ### Build the binary Build the program with: ```bash cargo build -r ``` After the build step is complete the compiled program can be found in your project folder under "./target/release/mc". ### Run the simulation ```bash ./target/release/kMC-NanoAlloy -s ./example_data/cube_5nm_3l.xyz -t 773,1073 -i 2e7 -r 1 --alphas ./example_data/kmc_alpha_ts.json -g ./303030-grid_kmc/ -w 10 -f ./sim/ ``` Use "-h" or "--help" to see the available flags and how to use them. ``` -s, --start-cluster <START_CLUSTER> xyz file -a, --atoms-input <ATOMS_INPUT> number of atoms -f, --folder <FOLDER> output folder each simulation will have its own sub-folder with tempearture iteration atoms and and index number e.g. "800K_100000000I_12007A_0" [default: ./sim/] -i, --iterations <ITERATIONS> acceptes integer and scientific formats e.g. 1E10 or 1.5E10 --alphas <ALPHAS> path to the json file with the alpha values -t, --temperatures <TEMPERATURES> temperature at which the sumulation is run Set multiple temperatures seperated by comma to run simulations with different temperature in parallel [default: 300] -r, --repetition <REPETITION> How often the simulation should be repeated. This can be used to make sure the result is representative. The repetition will be applied to each temperature. Therefore the number of paralle run simulations is the number of temperatures times the repetition. To enable all simulations to run in parallel there need to be equal or more threads then simulations running. Alternativley the input can be a range e.g. 5-10. This is usefull because the thread number is part of the simulation name [default: 1] --freeze <FREEZE> freez a boarder in one ore multiple directions. Directions are given by x, y, z, -x, -y or -z --support-e <SUPPORT_E> support energy. not supported yet -g, --grid-folder <GRID_FOLDER> folder which contains the files for the grid previously build using the python scipt [default: ../303030-pair_kmc/] --write-binary-snapshots <WRITE_BINARY_SNAPSHOTS> Set how many snapshots are saved in each simulation. Snapshots are spread out equally throughout the simulation. Saving the snapshots as binary file requires the used grid to visualize them but is more space as long as the cluster has not less then 25 atoms then there are atoms in the grid -w, --write-xyz-snapshots <WRITE_XYZ_SNAPSHOTS> Set how many snapshots are saved in each simulation. Snapshots are spread out equally throughout the simulation. Saving the snapshots as xyz file can lead to large files. When the number of atoms is less then 25 times the number of grid positions writing to the binary format will save disk space --time-energy-sections <TIME_ENERGY_SECTIONS> Determines how often the energy of the system and its elapsed time will be saved in the exp file. If this arg is not set the value from write_binary_snapshots/write_xyz_snapshots will be used. If neither is availabel 1000 sections is the default --coating <COATING> adds one layer of atoms arround the cluster. Input muust be the coating atom e.g. "Pt" -h, --help Print help (see more with '--help') -V, --version Print version ``` ## Visualisation When the "write-xyz-snapshots" flag is activated the simulation saves snapshots equally spread throughout the simulation. These snapshots can be visualized using [ASE](https://wiki.fysik.dtu.dk/ase/). If the "write-binary-snapshots" flag is activated snapshots will be saved as a binary file which can be viewed using the provided python script "./view_snapshots.py". ``` positional arguments: dir folder of the simualtion which contains the snap_shot_sections.csv-file e.g. './sim/900K_15000000I_711A_0/' options: -h, --help show this help message and exit -i INDEX_SECTIONS [INDEX_SECTIONS ...], --index_sections INDEX_SECTIONS [INDEX_SECTIONS ...] -1 is last, can be multiple seperated by blank -g GRID, --grid GRID basis for reading data, has to be the same file used in the simualtion -a ALPHAS_FILE, --alphas_file ALPHAS_FILE has to be the same file used in the simualtion ``` ## License Licensed under GNU Affero General Public License.
Rust code for ab initio simulation of alloy-based nanoparticles dynamics and stability using Kinetic Monte Carlo
Folders are named according to the following scheme: DATE_METHOD_SAMPLE_TREATMENT_FIGURE. Details on the treatment conditions or experimental stage can be found in the Experimental section of the study. 201902_COox_PtCeO2c_Fig5FigS4 Contains end-of-pipe catalytic data (as concentrations) for Pt/CeO2 cubes under CO oxidation conditions. Multiple light-off and light-out cycles were performed consecutively and recorded in a single file. 201902_STEM_CeO2c_Fig1FigS1 Contains electron microscopy images of CeO2 cubes after preparation. 201902_STEM_PtCeO2c_FigS1 Contains electron microscopy images of Pt/CeO2 cubes after Pt impregnation. 201902_XAS_PtCeO2c_Fig1FigS3 Contains X-ray absorption spectra acquired for Pt/CeO2 cubes during reduction in 2% H2. 201904_ETEM_PtCeO2c_Redispersion_Fig2-4FigS6-S11 Contains a series of electron microscopy images of Pt/CeO2 cubes after reduction and during redispersion under oxidative conditions. 201904_ETEM_PtCeO2c_Reduction_FigS2 Contains ETEM images of Pt/CeO2 cubes after Pt impregnation and subsequent calcination at 300 °C in air (1 bar). 201904_STEM_PtCeO2c_ParticleSize_Fig1Fig5 Contains STEM images of Pt/CeO2 cubes after reduction at 500 °C in 17 mbar H2. Files corresponding to X-ray Absorption Spectra and catalytic data are ASCII types. Electron microscopy images can be opened using FIJI (https://imagej.net/software/fiji/). For some files, the plug-in TIA reader (https://imagej.net/ij/plugins/tia-reader.html) is needed.
KIT-external authors with affiliations Agustin Salcedo (CNRS, ENS de Lyon, Université Claude Bernard Lyon 1, LCH, UMR 5182, 69342 Lyon Cedex 07, France) David Loffreda (CNRS, ENS de Lyon, Université Claude Bernard Lyon 1, LCH, UMR 5182, 69342 Lyon Cedex 07, France) Paolo Dolcet (Institute for Chemical Technology and Polymer Chemistry (ITCP), Karlsruhe Institute of Technology (KIT), Engesserstraße 20, 76131 Karlsruhe, Germany & Department of Chemical Sciences, University of Padova, Padova 35131, Italy) Mimoun Aouine (Université Lyon 1, CNRS, Ircelyon, UMR 5256, Villeurbanne, France) Thierry Epicier,« (Université Lyon 1, CNRS, Ircelyon, UMR 5256, Villeurbanne, France & Matériaux, Ingénierie et Science, UMR 5510, CNRS, INSA de Lyon, Université de Lyon, 2 Avenue Albert Einstein, 69626 Villeurbanne, France) Stephane Loridant (Université Lyon 1, CNRS, Ircelyon, UMR 5256, Villeurbanne, France) Philippe Vernoux (Université Lyon 1, CNRS, Ircelyon, UMR 5256, Villeurbanne, France) Carine Michel (CNRS, ENS de Lyon, Université Claude Bernard Lyon 1, LCH, UMR 5182, 69342 Lyon Cedex 07, France) Financial support was provided by ANR (DYCAT project, grant No. ANR-19-CE05-0038) and DFG (DYCAT project, grant No. 431423888 and SFB 1441 TrackAct, Project-ID 426888090).
Predicting Catalyst Performance From Pt/CeO2 Redispersion Kinetics
Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT)
Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
This data set contains raw data in the form of friction measurements, profilometry, EBSD, TKD and general SEM data.
Raw data to publication "Crystallographic orientation and its role on tribologically induced crystal rotation "
Processed micro-tomographic scan of the ant Dolichoderus pustulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Parvaponera darwinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formicoxenus nitidulus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neocerapachys splendens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Bundesministerium für Verkehr, Bau- und Stadtentwicklung
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2001 - 2010
Processed micro-tomographic scan of the ant Melissotarsus emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara diversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Automating the selection process of operating resources in production engineering, e.g., measurement systems, using data-driven and rule-based approaches, to improve product qualities remains challenging since it involves human experience and decentralized knowledge of different domains. A decision support system for selecting measurement systems that can be operated in various domains and industries is missing as existing approaches lack applicability in varying domains, and a centralized knowledge base is missing. This work develops an ontology for measurement systems and tasks to ensure interoperability across domains and applications. Based on this ontology, a knowledge-based decision support system implementing case-based reasoning for selecting measurement systems for a given task is developed. The decision support system recommends suitable measurement systems based on similar measurement tasks performed in the past. Analogical reasoning is implemented using knowledge graph embeddings. A centralized knowledge base, consisting of measurement systems and tasks, is instantiated using the example of battery cell manufacturing. The decision support system is then validated by drawing analogical conclusions from the example of battery and fuel cell manufacturing.
Please see provided "README" for further information.
Ontology for the selection of measurement equipment in immature production processes using case-based reasoning
Institut für Angewandte Informatik und Formale Beschreibungsverfahren
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store the data. As hardware scanners are costly and inflexible, smartphones are increasingly used for digitalization. Here, processing algorithms need to deal with prevailing environmental factors, such as shadows or crumples. Current state-of-the-art approaches learn supervised image dewarping models based on pairs of raw images and rectification meshes. The available results show promising predictive accuracies for dewarping, but generated errors still lead to sub-optimal information retrieval. In this paper, we explore the potential of improving dewarping models using additional, structured information in the form of invoice templates. We provide two core contributions: (1) a novel dataset, referred to as Inv3D, comprising synthetic and real-world high-resolution invoice images with structural templates, rectification meshes, and a multiplicity of per-pixel supervision signals and (2) a novel image dewarping algorithm, which extends the state-of-the-art approach GeoTr to leverage structural templates using attention. Our extensive evaluation includes an implementation of DewarpNet and shows that exploiting structured templates can improve the performance for image dewarping. We report superior performance for the proposed algorithm on our new benchmark for all metrics, including an improved local distortion of 26.1 %. We made our new dataset and all code publicly available at https://felixhertlein.github.io/inv3d.
Each sample contains the following files: "flat_document.png" (2200x1700x3, uint8, 0-255), showcasing a document in perfect condition. "flat_information_delta.png" displays all texts which represent invoice data (2200x1700x3, uint8, 0-255). "flat_template.png" is an empty invoice template (2200x1700x3, uint8, 0-255). "flat_text_mask.png" visually presents all texts shown in the given document (2200x1700x3, uint8, 0-255). "warped_angle.png" shows warping-induced x- and y-axis angle (1600x1600x2, float32, -Pi to Pi). "warped_albedo.png" is an albedo map (1600x1600x3, uint8, 0-255). "warped_BM.npz" stores backward mapping, i. e. the realtive pixel shift from warped to normalized image for each pixel shifts (1600x1600x2, float32, 0-1). "warped_curvature.npz" has pixel-wise curvature of the warped document (1600x1600x1, float32, 0-inf). "warped_depth.npz" holds per-pixel depth between camera and document (1600x1600x3, float32, 0-inf). "warped_document.png" displays the warped document (1600x1600x3, uint8, 0-255). "warped_normal.npz" contains warped document normals (1600x1600x3, float32, -inf to inf). "warped_recon.png" features a chess-textured warped document (1600x1600x3, uint8, 0-255). "warped_text_mask.npz" is a boolean text pixel mask (1600x1600x1, bool8, True/False). "warped_UV.npz" stores warped texture coordinates (1600x1600x3, float32, 0-1). "warped_WC.npz" includes document coordinates in the 3D space (1600x1600x3, float32, -inf to inf). For more details see https://github.com/FelixHertlein/inv3d-generator. Released under CC BY-NC-SA 4.0. Excluded files are listed in 'restricted-license-files.txt' (located in record with DOI 10.35097/1730, "Inv3D: a high-resolution 3D invoice dataset for template-driven Single-Image Document Unwarping - Metadata"). These are for academic use only.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Validation split
Processed micro-tomographic scan of the ant Basiceros militaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca cf chartifex, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma brunneum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proceratium japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Manica rubida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers This database features velocity and thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The different types of thermal boundary conditions are isothermal ("IT"), mixed-type boundary condition ("MBC") and isoflux ("IF") as given in the accompanying publication. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Vinuesa, Schlatter, Frohnapfel (2019) "The influence of thermal boundary conditions on turbulent forced convection pipe flow at two Prandtl numbers". International Journal of Heat and Mass Transfer. 2019. ## Contents * Velocity statistics: * Friction Reynolds number * Mean velocity, Reynolds stresses * Budgets of Reynolds stresses and turbulent kinetic energy * Thermal statistics: * Nusselt number and its contributions * Mean temperature, temperature variance and turbulent heat fluxes * Budgets of temperature variance and turbulent heat flux
This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a fully-developed turbulent forced convection pipe flow with different thermal boundary conditions. Please refer to the README for further information.
Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers
Processed micro-tomographic scan of the ant Temnothorax arimensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole gertrudae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paratrechina flavipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys incerta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from SBO21 campaign taking place from 2021-07-28 - 2021-12-27 at Sonnblick Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Portable Ice Nucleation Experiment, PINE, Ice-nucleating particle, INP, ice nucleation, PIA Software
Zur Bestimmung von Abrollformen (englisch: roll-over shapes) für den Fuß wurden Experimente mit neun Probanden durchgeführt (4 männlich, 5 weiblich). Durch ein Motion Capture System werden die Positionen von Markern erfasst, die an den Knöcheln und dem Großzehengrundgelenk angebracht sind, während die Probenden geradeaus gehen. Zur Messung der Kontaktkräfte werden zwei Kraftmessplatten genutzt, auf die die Probanden während dem Gehen auftreten. Aus den Rohdaten wird jeweils die Trajektorie des Sprunggelenks extrahiert, während der Fuß auf einer der Kraftmessplatten abrollt. Aus diesen Trajektorien wird eine Abrollform für jeden Fuß erstellt. Das genaue Vorgehen ist in der Dissertation "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI: 10.5445/KSP/1000089994) geschrieben.
Experiments with nine subjects (4 male, 5 female) are conducted to determine roll-over shapes for their feet. The position of markers at the knuckles and the metatarsal joint is measured via motion capturing for straight walking. Two force plates are used to measure contact forces during walking. The respective ankle trajectories are extracted from the raw data while a foot is rolling on one of the force plates. Roll-over shapes are created to fit the trajectory. A etailed description of the method and the models is given in the PhD thesis "Über den Einfluss der Fußgeometrie auf die Energieeffizienz beim zweibeinigen Gehen" (Ulrich J. Römer, 2019, DOI:10.5445/KSP/1000089994, in German).
Die Rohdaten und die Skripte zur Auswertung der Abrollfomen sind als Matlab-Dateien abgelegt. Der Matlab-Code zur Auswertung der Modelle für die Abrollform wird automatisch aus dem Maple-Worksheet "RegFoot.mw" generiert und im Unterordner "m_functions_out" abgelegt (Maple wird zur Ausführung des Matlab-Codes nicht benötigt, alle Dateien sind bereits erzeugt). Aus den Rohdaten in "raw_data.mat" werden mit dem Skript "a_preproc_data.m" die Trajektorien der Sprunggelenke für die Abrollbewegung auf der Kraftmessplatte extrahiert und in "preproc_data.m" gespeichert. Mit dem Skript "b_fitted_data.m" werden an diese Trajektorien die Modelle für die Abrollform angepasst. Zum Fitten der Daten wird die Funktion "fitfoot.m" aufgerufen. Die Daten für die gefitteten Modelle werden in "fitted_data.mat" gespeichert. Mit dem Skript "c_postproc_data.m" werden aus diesen gefitteten Daten Plots für die Geometrie und die Trajektorien des Modells und der Messung erzeugt und im Unterordner "results" gespeichert. Alle Plots sind als png-Dateien Teil dieses Datensatzes.
Roll-over shapes for 9 human candidates with and without shoes: measurement data, evaluation scripts and results
Processed micro-tomographic scan of the ant Stigmatomma afrc-tz05, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys exilirhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megaponera analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium chinense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus cf bicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Physik (APH), Karlsruher Institut für Technologie (KIT)
Design Data: Height Profiles of the printed optical elements (open as png or with Matlab), open Jobs with GrayScribeX or NanoPrintX, Scripts written in Matlab Dissertation: LaTeX files for the written dissertation Measurement data: SEM images as *.tif files, Surface topographies as *.sur files from the Marsurf confocal-optical microscope, also converted to *.mat files for compatibility with Matlab. ToolS: Code written in Matlab for the derivations of the topographies or the analysis LabBook as OneNote file
Micro-Optical Elements used for Single-Molecule Raman Spectroscopy and as Scintillators
Processed micro-tomographic scan of the ant Strumigenys hirashimai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma nigerrimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium floricola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Linepithema humile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inhomogeneous Thermal Boundary Conditions This database features thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow. The wall heat flux is prescribed to be adiabatic on one half of the pipe and constant ("halfconst") or sinusoidal ("halfsin") on the other half. The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Frohnapfel. "Azimuthally inhomogeneous thermal boundary conditions in turbulent forced convection pipe flow for low to medium Prandtl numbers". International Journal of Heat and Fluid Flow. 2019 ## Contents - Global Nusselt numbers - Wall temperature and local Nusselt number - Temperature evaluated at five azimuthal locations - Turbulent heat fluxes evaluated at five azimuthal locations - Temperature variance evaluated at five azimuthal locations - Turbulent Prandtl number
This database contains numerical results of well-resolved large-eddy simulations of azimuthally inhomogeneous thermal boundary conditions in a fully developed forced convection pipe flow. Please refer to the README for further information.
Thermal Statistics of Turbulent Forced Convection Pipe Flow for Azimuthally Inomogeneous Thermal Boundary Conditions
Processed micro-tomographic scan of the ant Acanthognathus cf ocellatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus cf fedtschenkoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mystrium camillae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte und Numerische Mathematik
Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler_ritz.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
This code is used for the numerical experiment in Section 6 of the preprint "Maximum norm error bounds for the full discretization of non-autonomous wave equations" by Benjamin Dörich, Jan Leibold, and Bernhard Maier.
Code to "Maximum norm error bounds for the full discretization of non-autonomous wave equations"
Processed micro-tomographic scan of the ant Ocymyrmex barbiger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma schultzei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor barbarus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
-------------------------------------------------------------------------------- STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT DRAG REDUCTION AT CONSTANT POWER INPUT -------------------------------------------------------------------------------- ***This database features:*** * high quality turbulent flow statistics for canonical channel flows driven at Constant Power Input (CPI), Constant Flow Rate (CFR) and Constant Pressure Gradient (CPG) * global energy budgets and single point Reynolds stress budgets of turbulent channels driven at CPI in their canonical state or in a drag-reduced state achieved via spanwise wall oscillations or opposition control * a comprehensive study of several predetermined and feedback active strategies for turbulent drag reductions in channel, comprising parametric studies of the increase in energy efficiency for different values of several control parameters -------------------------------------------------------------------------------- ***Acknowledgment:*** Support through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 is gratefully acknowledged. Computing time has been provided by the computational resource ForHLR Phase I funded by the Ministry of Science, Research and the Arts, Baden-Württemberg and DFG. -------------------------------------------------------------------------------- ***References:*** * D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, (2018) "Global energy fluxes in turbulent channels with flow control", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, doi: doi.org/10.1017/jfm.2018.749 * M. Quadrio, B. Frohnapfel & Y. Hasegawa, (2016) "Does the choice of the forcing term affect flow statistics in DNS of turbulent channel flows?", European Journal of Mechanics B. / Fluids, Vol. 55, pag. 286-293, doi: doi.org/10.1016/j.euromechflu.2015 * Y. Hasegawa, M. Quadrio & B. Frohnapfel, (2014) "Numerical simulation of turbulent duct flows with constant power input", Journal of Fluid Mechanics, Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269 * B. Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) "Money versus time: evaluation of flow control in terms of energy consumption and convenience", Journal of Fluid Mechanics, Vol. 700, pag. 406-418 doi: doi.org/10.1017/jfm.2012.139 -------------------------------------------------------------------------------- ***Content:*** reference-stats --> statistics of turbulent channels at Retau=200, driven at Constant Flow Rate (CFR), Constant Pressure Gradient (CPG) and Constant Power Input (CPI). energy-budgets --> global energy budgets and single-point Reynolds shear stress budgets of turbulent channels driven at Constant Power Input (CPI) with drag reduction achieved via spanwise wall oscillations (Quadrio & Ricco, JFM 2004) or opposition control (Choi, Moin & Kim, JFM 1994). flow-control-strategies --> parametric studies for finding the maximum theoretical efficiency of following strategies for turbulent drag reduction at Constant Power Input (CPI): StTW-fz: streamwise-travelling waves of spanwise body force StTW-w : streamwise-travelling waves of spanwise wall velocity SpTW-fz: spanwise-travelling waves of spanwise body force SpTW-w : spanwise-travelling waves of spanwise wall velocity OC-v: opposition control based upon wall-normal velocity BF-w: near-wall body force damping of spanwise velocity fluctuations Refer to the readme files in each subdirectory for further information on each database. -------------------------------------------------------------------------------- Changelog: Apr-23-2018: database uploaded -------------------------------------------------------------------------------- davide.gatti@kit.edu bettina.frohnapfel@kit.edu maurizio.quadrio@polimi.it ysk@iis.u-tokyo.ac.jp andrea.cimarelli@unimore.it
This database contains the result of the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 "Flow Control under Constant Power Input (CPI)". Please refer to the README below for further information.
Turbulence Turbulent flow Constant Power Input Drag Reduction
Turbulent flow statistics at Constant Power Input (CPI) with and without drag reduction
Folder Contains the Images, and the text file used for the corresponding images
Topologically optimized magnetic lens for magnetic resonance applications (DataSet)
Processed micro-tomographic scan of the ant Dorylus fulvus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus horridus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius neglectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex major, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis iberica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica cf fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera rufonigra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Apterostigma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta punctulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis lamellidens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster nawai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# `counterSharp` Experiment and Play Environment This repository contains the reproducible experimental evaluation of the [counterSharp tool](https://github.com/samysweb/counterSharp). The repository contains a Docker file which configures the counterSharp tool, two model counters (ApproxMC and Ganak) as well as the [tool by Dimovski et al.](https://github.com/aleksdimovski/probab_analyzer) for our experiments. Furthermore the repository contains the benchmarks on which we ran our experiments as well as the logs of our experiments and scripts for transforming the log files into LaTeX tables. ## Getting Started In order to pull and run the docker container from docker hub you should execute `docker run`. Or, you can load the archived and evaluated artifact into docker with ``` docker load < countersharp-experiments.tar.gz ``` If the image is loaded, `docker run` opens a shell allowing the execution of further commands: ```bash docker run -it -v `pwd`/results:/experiments/results samweb/countersharp-experiments ``` By using a volume, the results are written to the host system rather than the docker container You can remove the volume mounting option (`-v ...`), and create `/experiments/results` inside the container if you can spare the results. If you are using the volume and run into permission problems, then you need to give rights via SELinux: `chcon -Rt svirt_sandbox_file_t `pwd`/results`. This will create a writable folder `results` in your current folder which will hold any logs from experiments. A minimal example can be executed by running (this takes approximately **70 seconds**): ```bash ./showcase.sh ``` This will create benchmark log files for the benchmarks `for_bounded_loop1.c` and `overflow.c` in the folder [`results`](results). For example, `/experiments/results/for_bounded_loop1.c/0X/` contains five folder for the five repeated runs of the experiments on this file. Each folder `/experiments/results/for_bounded_loop1.c/0X/` contains the folders for the different tools, which includes the log and output files. A full run can be executed by running (this takes approximately a little under **2 days**): ```bash ./run-all.sh ``` Additionally single benchmarks can be executed through the following commands: ```bash run-instance approx program.c "[counterSharp arguments]" # Runs countersharp with ApproxMC on program.c run-instance ganak program.c "[counterSharp arguments]" # Runs countersharp with Ganak on program.c Probab.native -single -domain polyhedra program.c # Runs the tool by Dimovski et al. for deterministic programs Probab.native -single -domain polyhedra -nondet program.c # Runs the tool by Dimovski et al. for nondeterministic programs ``` For example we can execute `run-instance approx /experiments/benchmarks/confidence.c "--function testfun --unwind 1"` to obtain the outcome of counterSharp and ApproxMC for the benchmark `confidence.c`. Note that the time information produced by runlim is always only for one part of the entire execution (i.e. for counterSharp or one ApproxMC run or one Ganak run). The script `run-instance` is straightforwarded, we have the call to our tool [counterSharp](https://github.com/samysweb/counterSharp): ```bash python3 -m counterSharp --amm /tmp/amm.dimacs --amh /tmp/amh.dimacs --asm /tmp/asm.dimacs --ash /tmp/ash.dimacs --con /tmp/con.dimacs -d $3 $2 ``` which is followed by the call of `ApproxMC` oder `ganak`. ## Benchmarks The benchmarks are contained in the folder [`benchmarks`](benchmarks) which also includes an overview on the sources and modifications to the benchmarks Note that benchmark versions for the tool by Dimovski et al. are contained in folder [`benchmarks-dimovski`](benchmarks-dimovski) ## Benchmark Results The results are contained in the folder [`results`](results) in which all logs from benchmark runs reside. The log files from the evaluation are not available in the Docker Image, but just on GitHub. The logs are split-up by benchmark instance (first level folder), run number (second level folder) and tool (third level folder) For example, the file `results/bwd_loop1a.c/01/approxmc/stdout.log` contains the stdout and stderr of running approxmc on the instance `bwd_loop1a.c` in run `01` ### Machine Details All runs were executed on a Linux machine housing an Intel(R) Core(TM) i5-6500 CPU (3.20GHz) and 16GB of memory. Note that for every benchmark log `01/counterSharp/init.log` contains information on the machine used for benchmark execution as well as on the commits used in the experiments. ## Running benchmarks For all cases of automated benchmark execution we assume a CSV file containing relevant information on the instances to run: The first column is the benchmark's name, the second column are parameters passed to counterSharp (see `instances.csv`) or the tool by Dimovski (see `instances-dimovski.csv`). All scripts produce benchmarking results for "missing" instances, i.e. instances for which no folder can be found in the `results` folder. - Run counterSharp on the benchmarks: `run-counterSharp instances.csv` - Run [ApproxMC](https://github.com/meelgroup/ApproxMC) on benchmarks: `run-approxmc instances.csv` - Only after counterSharp has been run - Run [GANAK](https://github.com/meelgroup/ganak) on benchmarks: `run-ganak instances.csv` - Only after counterSharp has been run - Run [Dimovski's tool](https://github.com/aleksdimovski/probab_analyzer) on benchmarks: `run-dimovski instances-dimovski.csv` ## Log summarization Summarization is possible through the python script in `logParsing/parse.py` within the container. The script takes as input a list of benchmarks to process and returns (parts of) a LaTeX table. Note, that there must exist logs for all benchmarks provided in the CSV file for the call to succeed! - **To obtain (sorted) results for deterministic benchmarks:** `cat logParsing/deterministic-sorted.csv| python3 logParsing/parse.py results aggregate2` - **To obtain (sorted) results for nondeterministic benchmarks:** `cat logParsing/nondeterministic-sorted.csv| python3 logParsing/parse.py results nondet` ## Building the docker container All tools are packaged into a Dockerfile which makes any installation unnecessary. There is, however, the need for a running Docker installation. The `Dockerfile` build depends on the accessibility of the following GitHub Repositories: - [CryptoMiniSat](https://github.com/msoos/cryptominisat) - [ApproxMC](https://github.com/meelgroup/approxmc) - [Ganak](https://github.com/meelgroup/ganak) - [Probab_Analyzer](https://github.com/aleksdimovski/probab_analyzer) - [counterSharp](https://github.com/samysweb/counterSharp) The Docker image is hosted at [Dockerhub](https://hub.docker.com/repository/docker/samweb/countersharp-experiments).
Evaluated Artifact for "Quantifying Software Reliability via Model-Counting"
Processed micro-tomographic scan of the ant Mesoponera ambigua, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole afrc-075, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica truncorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium semilaeve, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 4 of 4
Repository containing Jupyter Notebooks for data analyses for the thesis ***Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films*** by Lukas Grünewald.
Data-Analysis Notebooks for the Thesis 'Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films'
Processed micro-tomographic scan of the ant Tetramorium pullulum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma transversa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Protanilla lini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes pinelii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
During sliding of metallic surfaces, the near surfaces undergo significant changes in terms of topography, composition and microstructure. Since friction and wear behavior of the materials are strongly influenced by sub-surface deformations, it is fundamental to investigate these effects. Therefore, the present study aims towards a better understanding of the behavior of friction depending on well-defined initial microstructures. By performing sliding experiments on Au-Ni multilayer samples under ultrahigh vacuum (UHV) conditions, we observe that the individual layer thickness of multilayer systems has a strong influence on friction behavior due to the transition in the dominant deformation mechanism near the surface. The experiments reported here provide a new route for lowering the friction force of metallic material systems in dry contact by providing more stable microstructures and alloy formation. Through ultrafine grains present in the alloy formed by mechanical mixing the number of grain boundaries strongly increases and hence, grain boundary-mediated deformation results in the low friction coefficient.
Friction data aquired by the homebuilt UHV microtribometer for a ruby sphere sliding against different Au-Ni multilayer samples. The data includes normal load, friction force and COF as a function of the mulitlayer thickness.
This data belongs to the contribution: "Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project" Grauberger, P.; Voß, K.; Matthiesen, P. Respecting Data Protection & Privacy, it is not possible to provide the original .json-files exported from trello.com. + The .py-file contains the Python-Skript to extract the documentation into an .csv-file. + The .pdf-file contains the printed Python-Skript. + The .xlsx-file shows the raw data extracted from the .json-files by the Pythonscript. The python script exports a .csv-file that is converted to an .xlsx-file during processing due to layout. + The .sav-file shows identical data as in the .xlsx-file but imported into SPSS + The .spv-file displays the statiscal evaluation derived from the .sav-file.
Research data: Experimental Testing Approaches in Engineering Design – Investigating the Exploration of Relations of Embodiment and Function in a Student Project
Processed micro-tomographic scan of the ant Crematogaster quadriruga, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla minutior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma cf melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tatuidris tatuisa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica taediosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0007, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0007 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical domains. The manual inspection of Machine Tool Components, as well as the manual end of line check of products, are labour intensive tasks in industrial applications that often want to be automated by companies. To automate the classification processes and to develop reliable and robust Machine Learning based classification and wear prognostics models there is a need for real-world datasets to train and test models on.
The dataset contains 1104 channel 3 images with 394 image-annotations for the surface damage type “pitting”. The annotations made with the annotation tool labelme, are available in JSON format and hence convertible to VOC and COCO format. All images come from two BSD types. The dataset available for download is divided into two folders, data with all images as JPEG, label with all annotations, and saved_model with a baseline model. The authors also provide a python script to divide the data and labels into three different split types – train_test_split, which splits images into the same train and test data-split the authors used for the baseline model, wear_dev_split, which creates all 27 wear developments and type_split, which splits the data into the occurring BSD-types. One of the two mentioned BSD types is represented with 69 images and 55 different image-sizes. All images with this BSD type come either in a clean or soiled condition. The other BSD type is shown on 325 images with two image-sizes. Since all images of this type have been taken with continuous time the degree of soiling is evolving. Also, the dataset contains as above mentioned 27 pitting development sequences with every 69 images. Instruction dataset split The authors of this dataset provide 3 types of different dataset splits. To get the data split you have to run the python script split_dataset.py. Script inputs: split-type (mandatory) output directory (mandatory) Different split-types: train_test_split: splits dataset into train and test data (80%/20%) wear_dev_split: splits dataset into 27 wear-developments type_split: splits dataset into different BSD types Example: C:\Users\Desktop>python split_dataset.py --split_type=train_test_split --output_dir=BSD_split_folder Result: ./BSD_slit_folder/train/ and ./BSD_slit_folder/test/
Industrial Machine Tool Element Surface Defect Dataset
Processed micro-tomographic scan of the ant Polyergus samurai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium intrudens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rhopalomastix sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica kotokui, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
inputs contains the Instance descriptions as json files. results contains the found solutions as json files. The inputs and results jsons can be
Buffers are prevalent in many production systems, where they are often manually man- aged by human operators who make decisions about item placement, retrieval sequences, and space allocation based on experience and intuition. However, current labor shortages highlight the urgent need to automate these tasks. This paper addresses the Buffer Reshuffling and Retrieval (BRR) problem, which aims to optimize the reshuffling and retrieval of unit loads within a buffer zone. The buffer zone is assumed to be a designated area on the floor where items are stored without the use of shelves or other intermediary structures. We extend the static BRR model, which assumes a fixed set of items, to address the complexities of modern, dynamic production logistics. Specifically, we introduce two extensions: (1) a dynamic variant that accounts for new items requiring storage in the buffer, and (2) a dynamic multi-AMR variant that utilizes multiple Autonomous Mobile Robots (AMRs). Our contribution lies in the development of a compre- hensive Integer Programming (IP) framework encompassing all three variants: static, dy- namic, and dynamic with multiple AMRs. The computational complexity of these IP models hinders their direct application in real-time, large-scale production settings. However, by introducing and solving illustrative instances, this IP framework provides a foundation for future research into heuristic and learning based algorithms.
Processed micro-tomographic scan of the ant Hylomyrma cf blandiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paltothyreus tarsatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Euprenolepis procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone succedanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0016, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0016 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Dorylus helvolus pretoriae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex profundus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia OK03, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera scabra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole selathorax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Forelius brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex reichenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex subdentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster gonacantha, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cryptopone sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys striatula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus nigricans molestus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys membranifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Experimentelle Teilchenphysik
Job monitoring data in the csv format. Each line corresponds to a distinct job execution and contains its characteristic quantities.
Job monitoring data for Modelling of Large-Scale Distributed Computing Systems
Processed micro-tomographic scan of the ant Strumigenys elongata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ooceraea biroi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0033, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0033 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Tetramorium FHG046, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax ravouxi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Heteroponera dolon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor aciculatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The main objective of design for manufacturing (DfM) is to ensure and simplify the manufacturing of products and reduce manufacturing costs. The problem is, that it remains unclear, which challenges and difficulties are most frequently encountered when considering the manufacturing process during the design phase. Only few studies have objectively investigated the influence of a restrictive method on the design results. The aim of this research is to investigate the effect of restrictive method on manufacturability and the manufacturing effort of the design outcome for design engineers and students. Design engineers as well as students designed and selected concepts with a high manufacturing effort. Successful approaches were those, which designed concepts completely without welding joints by cleverly redesigning the design and still fulfil the function. Hence, we present successful approaches as an opportunistic method in DfM, which can be transferred to further manufacturing processes.
These information should support you in interacting with the file. 1) Use a pdf compatible software to open the file 2) The pdf is designed as interactive with buttons. No need to scroll. 3) The structure and links in the file are carefully designed 4) To open the videos in the file a flash player could be useful. 5) Please do not hesitate to contact us if problems occur: markus.doellken@kit.edu The authors would like to express their appreciation to all of those without whom this research would not have been possible. Special thanks go to TRUMPF GmbH + Co KG, Ditzingen, Germany, for their support and funding of this project. The authors also wish to thank Dipl.-Ing. Jörg Heusel and Mr. Thomas Bronnhuber for their valuable technical support to this project, and especially M.Sc. Jonas Steiling for his patient guidance, for the many discussions on the content-related tasks, and for his help in collecting the data. The research reported in this article was carried out with the agreement of all participants.
Restrictive and Opportunistic Method in Design for Manufacturing
This dataset includes the simulation model of the demonstrator vehicle "elf++" for vehicle dynamics simulation in CarMaker. The demonstrator vehicle was developed in the research project e²-Lenk at the Institute of Vehicle System Technology (FAST) and at Schaeffler Hub for Advanced Research at KIT (SHARE at KIT) and subsequently used in the projects SmartLoad and FLOOW. The CarMaker model includes the vehicle geometry, the chassis kinematics, the powertrain, and the tire model, supplemented by the modeling of the steering system, the localization module, and the longitudinal and lateral dynamics control in MATLAB-Simulink. Other modules such as vehicle guidance controllers can be added to the Simulink model. The modeling status corresponds to the vehicle state at the end of the SmartLoad project.
# Vehicle Dynamics Model of Demonstrator Vehicle "elf++" English version see below. ## Einleitung Dies ist ein Fahrdynamik-Simulationsmodell für das Demonstratorfahrzeug „elf++“, das mit CarMaker 8.0 und Matlab 2018b kompatibel ist. Das CarMaker-Projekt umfasst das Fahrzeugmodell *Demonstrator_vehicle_ELFpp* und den Testrun *Test_Runs_DrivingDynamicsArea*. Das Modell ermöglicht die Simulation von Fahrmanövern durch Vorgabe des zeitlichen Verlaufs von Lenkradwinkel und Geschwindigkeit. Weitere Funktionalitäten können im Simulink-Modell modular ergänzt und angepasst werden. Beispielhaft wurde ihm Rahmen folgender Veröffentlichung ein Fahrzeugführungsregler in das Modell integriert: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). Bei dem Demonstratorfahrzeug „elf++“ handelt es sich um ein Fahrzeug im Maßstab 1:1,5, das über eine Ackermannlenkung mit redundant verbautem Lenkaktor und radselektive Antriebe an der gelenkten Vorderachse verfügt. ## Aufbau des integrierten Simulink-Modells *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* Dieser Block umfasst die Funktionen der Fahrzeugregelung von der Sollwertvorgabe bis zur Ausgabe der Aktorstellgrößen. - #### *Target* Vorgabe des Lenkradwinkelverlaufs in rad und der Geschwindigkeit in m/s des zu fahrenden Manövers. - #### *Steering_controller* Lenkradwinkelregelung zur Vorgabe des Gesamtlenkmomentes. - #### *Steering_Actuator_Allocation* Aufteilung des Gesamtlenkmomentes auf die redundant verbauten Lenkaktoren. - #### *Velocity_controller* Geschwindigkeitsregelung zur Vorgabe des Gesamtantriebsmomentes. - #### *Driving_Actuator_Allocation* Aufteilung des Gesamtantriebsmomentes auf die radindividuellen Antriebe der Vorderachse. ### *CarMaker* Dieser Block stellt die Schnittstelle zu CarMaker dar. Die Aktorstellgrößen, die die Regler vorgeben, werden im *Torque_Limiter* den physikalischen Limits entsprechend beschränkt. Weitere Modifikationen gegenüber der CarMaker-Vorlage betreffen die Modellierung des Lenksystems. Ausgehend von den Aktormomenten und den Spurstangenkräften wird mittels eines 2DOF Modells die resultierende Lenkbewegung berechnet. ### *Localization* Zur Abbildung des auf dem Fahrzeug verbauten GNSS RTK Systems werden in diesem Block die Positionsmessgrößen in ihrer Frequenz reduziert. ## Parameter und Einstellungen ### *sim_settings.m* Mit den Vorgaben in dieser Dateikönnen die Dauer des Simulationsdurchlaufes, sowie die Parameter des Modells angepasst werden, die die Einstelllungen der Regler und die fahrdynamischen Grenzen des Manövers betreffen. ### *init_parameter* in Ordner *vehicle_control_data* Diese Datei definiert Konstanten und enthält fahrzeugspezifische Parameter. ## Verwendung Um dieses Simulationsmodell zu verwenden, öffnen Sie das Simulink-Modell *Demonstrator_vehicle_ELFpp* und starten daraus CarMaker durch Klicken auf das CarMaker Symbol. In CarMaker öffnen Sie den Testrun *Test_Runs_DrivingDynamicsArea*. Definieren Sie dann die Fahrmanöver im *Target* Block, indem Sie den zeitlichen Verlauf von Lenkradwinkel und Geschwindigkeit angeben. Starten Sie die Simulation über die CarMaker GUI. ## English version: ## Introduction This is a driving dynamics simulation model for the demonstrator vehicle “elf++” compatible with CarMaker 8.0 and Matlab 2018b. The CarMaker project includes the vehicle model *Demonstrator_vehicle_ELFpp* and the test run *Test_Runs_DrivingDynamicsArea*. The model supports the simulation of driving maneuvers by specifying the course of the steering wheel angle and velocity. Further functionalities can be added and adapted modularly in the Simulink model. For example, a vehicle guidance controller was integrated into the model as part of the following publication: [Pragmatic and Effective Enhancements for Stanley Path-Tracking Controller by Considering System Delay](https://doi.org/10.3390/vehicles5020034). The demonstrator vehicle “elf++” is a vehicle on a scale of 1:1.5 that has Ackermann steering with a redundantly installed steering actuator and wheel-selective drives on the steered front axle. ## Structure of the integrated simulink model *Demonstrator_vehicle_ELFpp* ### *Vehicle_Control* This block includes the functions of the vehicle control from the setpoint specification to the output of the actuator target values. - #### *Target* Specification of the steering wheel angle course in rad and the speed in m/s of the maneuver to be driven. - #### *Steering_controller* Steering wheel angle control that outputs the total steering torque. - #### *Steering_Actuator_Allocation* Allocation of the total steering torque to the redundantly installed steering actuators. - #### *Velocity_controller* Velocity control that outputs the total drive torque. - #### *Driving_Actuator_Allocation* Allocation of the total drive torque to the individual wheel drives of the front axle. ### *CarMaker* This block represents the interface to CarMaker. The actuator target values which the controllers specify are limited in the *Torque_Limiter* according to their physical limits. Further modifications compared to the CarMaker template concern the modeling of the steering system. Starting from the actuator torques and the tie rod forces, the resulting steering movement is calculated by means of a 2DOF model. ### *Localization* To represent the GNSS RTK system installed on the vehicle, the frequency of the position measurement variables is reduced in this block. ## Parameter and Settings #### *sim_settings.m* In this file, the duration of the simulation run can be adjusted, as well as the parameters of the model, which affect the settings of the controllers and the driving dynamic limits of the maneuver input. #### *init_parameter* in Ordner *vehicle_control_data* This file contains constants and parameters specific to the vehicle. ## Usage To use this simulation model, open the Simulink model *Demonstrator_vehicle_ELFpp* and start CarMaker from it by clicking on the CarMaker icon. In CarMaker, open the test run *Test_Runs_DrivingDynamicsArea*. Then define the driving maneuvers in the *Target* block by specifying the course of steering wheel angle and velocity. Start the simulation via the CarMaker GUI.
Dieser Datensatz enthält das Simulationsmodell des Demonstratorfahrzeugs "elf++" für die Fahrdynamiksimulation in CarMaker. Das Demonstratorfahrzeug wurde im Forschungsprojekt e²-Lenk am Institut für Fahrzeugsystemtechnik (FAST) und am Schaeffler Hub for Advanced Research am KIT (SHARE am KIT) entwickelt und anschließend in den Projekten SmartLoad und FLOOW eingesetzt. Die Modellierung in CarMaker umfasst die Fahrzeuggeometrie, die Fahrwerkskinematik, den Antriebsstrang und das Reifenmodell, ergänzt um die Modellierung des Lenksystems, des Lokalisierungsmoduls und der Längs- und Querdynamikregelung in MATLAB-Simulink. Das Simulink-Modell kann um weitere Module wie z.B. einen Fahrzeugführungsregler ergänzt werden. Der Modellierungsstand entspricht dem Fahrzeugzustand zum Ende des Projektes SmartLoad.
Vehicle Dynamics Model of Demonstrator Vehicle "elf++"
Processed micro-tomographic scan of the ant Mycetosoritis hartmanni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudolasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex echinatior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nomamyrmex hartigii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica cf pallidefulva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT), Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
Remote manipulation of microcargo is essential for miniaturized automated experiments in fields such as biology, chemistry, and diagnostics, allowing efficient use of scarce, expensive, or hazardous materials. Current methods for manipulating microcargo are generally limited to droplets as cargo and rely on reduced substrate-cargo friction and special substrate-cargo interactions (electrowetting, anisotropic wetting, water-repellency, etc.) to enable cargo mobility. This limits the versatility of substrate and cargo choice. Here, we present CART (Carrier-based Actuatable and Reprogrammable Transport) as a solution to these challenges. By introducing a carrier between the substrate and the cargo, CART physically separates them, eliminating the need to reduce substrate-cargo friction and the need for substrate-cargo matching. CART devices are easy to realize, tailor, and post-functionalize. A photo-polymerizable phase-separating resin is used to 3D-print porous carriers that are then infused with ferrofluid to make them magnetically responsive, enabling untethered cargo manipulation on both solid and liquid substrates. Using CART, various cargos can be remotely moved, rotated/mixed, inverted, and lifted, further facilitating interaction between two carriers for transferring, merging, and tunably splitting cargo. Overall, CART advances microcargo manipulation by decoupling cargo from the substrate and leveraging magnetic responsiveness for untethered, versatile control across different environments, opening up new actuation-modalities.
Dataset: CART: Carrier-based Actuatable and Reprogrammable Transport
CART: Carrier-based Actuatable and Reprogrammable Transport
Processed micro-tomographic scan of the ant Messor luebberti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera commutata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys relicta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera opacior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica jessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica japonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT), Natürliche und gebaute Umwelt (BL4), Karlsruher Institut für Technologie (KIT)
Institut für Regionalwissenschaft (IFR), Karlsruher Institut für Technologie (KIT)
Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Cities and municipalities are faced with the challenging task of adapting their communities to the expected consequences of climate change. Significantly higher summer temperatures, a climatic change from the previously very frequent and regular land rainfall in summer to weeks of drought, and an increase in individual heavy rainfall events whose water masses cannot be compensated by the existing structure - these are very likely consequences that today's planning must address. Local authorities are therefore faced with the challenging task of integrating climate adaptation concerns into their planning in the best possible way. A large number of German guidelines on municipal climate adaptation are available for this purpose. The disadvantage of this diversity, however, is the amount of time required to gain an overview of the various topics. Without relating to specific projects, the tables presented here are an attempt to summarise the existing variety of specific measures for municipal climate adaptation and the available knowledge on the individual measures. (publication in german language)
Städte und Gemeinden stehen vor der herausfordernden Aufgabe ihre Kommune an die zu erwartenden Folgen des Klimawandels anzupassen. Deutlich höhere Sommertemperaturen und Hitzeextremereignisse, ein klimatischer Wechsel von dem früher sehr häufigen und regelmäßigen Landregen im Sommer hin zu wochenlangen Dürrephasen und vermehrt Starkregenextremereignisse, deren Wassermassen die vorhandene Infrastruktur nicht abfangen kann - sind sehr wahrscheinliche Folgen, denen die heutige Planung gerecht werden muss. Die Kommunen stehen daher vor der herausfordernden Aufgabe, die Belange der Klimaanpassung bestmöglich in ihre Planungen zu integrieren. Zur Unterstützung wurde bereits eine große Vielzahl an Leitfäden unterschiedlicher Schwerpunktsetzungen zur kommunalen Klimaanpassung entwickelt und veröffentlicht. Der Nachteil dieser Vielfalt jedoch ist der hohe Zeitaufwand der Fachangestellten und Planenden, sich in die Thematik fundiert einzuarbeiten. Die hier vorliegenden Tabellen sind ein Versuch, außerhalb von projektspezifischen Rahmenbedingungen die vorhandene Vielfalt an konkreten Maßnahmen zur kommunalen Klimaanpassung und das vorhandene Wissen zu den Einzelmaßnahmen zusammenzutragen. Die Maßnahmen im besiedelten Raum sind zunächst nach ihrer Anpassungsthematik gegliedert, wobei einzelne Maßnahmen auch verschiedenen Anpassungsthemen dienen können. Die Maßnahmen sind zur besseren Übersicht in Kategorien gruppiert, die der gleichen Art angehören oder den gleichen Zweck verfolgen. Zu jeder Maßnahme sind diverse Zusatzinformationen gegeben, die für den Planenden von Relevanz sein können. Jede Maßnahme wird als erstes über eine Kurzbeschreibung definiert bzw. beschrieben. Es folgen Wirkungsbeschreibungen, die den Planenden bei der Argumentation der Maßnahme (bspw. im Begründungsteil des Bebauungsplans) behilflich sein können. Wenn vorhanden, sind konkrete Zahlen oder Berechnungsansätze zur Wirkungsabschätzung gegeben. Es folgen Informationen u.a. zum Planbezug, die Einschätzung der Eignung der Maßnahmen in bestimmten Stadtstrukturtypen, Einschätzungen zu Kosten und Flächenbedarf, der Verwendung im Bestand versus Neubau, sowie Hinweise zu weiterführender Literatur. Alle Maßnahmen sowie Zusatzinformationen sind bereits veröffentlichten Leitfäden und Berichten entnommen, es handelt sich hier also um ein Reviewbeitrag ohne spezifischen Projektbezug. Die Kategorisierung der Maßnahmen, sowie die Einschätzung ihrer Eignung für den Bestand versus Neubau erfolgte durch die Autorinnen. Ihre Eignung für ein Monitoring mittels Fernerkundung erfolgte durch das IPF des KIT. Dies ist die erste Auflage dieser Maßnahmensammlung. Einige Felder haben noch keine Informationen, oder können ggf. durch die Praxis anders eingeschätzt werden. Sobald genügend neue Informationen vorliegen bzw. der jetzige Stand umfassend überarbeitet wurde, wird die Tabelle als neue Auflage erneut veröffentlicht werden. Falls Sie hierzu Anmerkungen haben, eine überarbeitbare Fassung der Tabellen wünschen oder weitere Informationen integrieren möchten, wenden Sie sich bitte an: denise.boehnke@kit.edu
Maßnahmensammlung zur kommunalen Klimaanpassung
Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
Polymer pyrolysis has emerged as a simple and versatile method to synthesize graphenoid (graphene like) materials with varying thickness and properties. The morphology of the thin film, especially the thickness, greatly affects the graphitizability (ability to from ordered graphene/ graphite) and thus the properties of the resulting graphenoid material. Using in situ current annealing inside a transmission electron microscope (TEM), we followed the thickness-dependent structural evolution of the polymer film with a special focus on thickness effects. Up to intermediate temperatures, the structural evolution during current annealing is similar to the evolution during thermal annealing of the thin films. At higher temperatures, thin samples form large graphene layers oriented parallel to the substrate, whereas in thick samples multi-walled cage-like structures are formed. MD simulations reveal a critical film thickness of 40 Å below which, the carbonized layers align parallel to the surface. For thicker samples, the orientation of the layers becomes increasingly misoriented starting from the surface to the center. This structural change can be attributed to the formation of bonded multi-layers from the initially unsaturated activated edges. The resulting cage-like structures are stable even during simulated annealing at temperatures as high as 3500 K. An atomistic understanding of the formation of these structures is presented. The results clearly indicate the critical effect of thickness on graphitizability of polymers and provide a new understanding of the structural evolution during pyrolysis.
Information on the data formats provided in the individual subdirectories
Graphitizability of polymer thin films: an in situ TEM study of thickness effects on nanocrystalline graphene/glassy carbon formation
Spectroscopic techniques are essential for accurately probing the electronic structures of coordination compounds and revealing the nature of their chemical bonding. This is particularly relevant for f-elements, where bonding interactions play crucial role, particularly in radiopharmaceutical developments. We present advanced spectroscopic analysis, including core-to-core resonant inelastic X-ray scattering (CC-RIXS) and high-energy resolution X-ray absorption near-edge structure (HR-XANES), to investigate metal-ligand interactions using lanthanum (La) as a non-radioactive homologue of actinium (Ac) applied in emerging and highly potent therapeutic radiopharmaceuticals. By analyzing the interplay between La 4f and 5d orbitals in various environments, we extract key information about ligand-field effects and bond covalency. Our findings demonstrate that spectroscopic features of the La L$_2$-edge CC-RIXS map reflect the nephelauxetic effect, which arises from central-field 4\textit{f} orbital-specific bond covalency. The energy separation between the pre-edge and main absorption edge of the La L$_2$-edge HR-XANES spectra also serves as direct probe of electron density for both 4f and 5d orbitals. Quantum chemical modeling, including ligand-field density-functional theory (LFDFT) and \textit{ab initio} bond analysis, complements our experiments. This allows us to establish a direct correlation between spectroscopic observables and theoretical metrics for bonding properties, offering a framework to understand the coordination chemistry of f-elements. Beyond advancing fundamental chemistry, our findings will also inform future studies on Ac$^{3+}$-radiopharmaceutical agents, where precise knowledge of bonding interactions is essential for their development.
Files in format .txt containing data from the manuscript: graphics, tables, etc.
High-energy resolution X-ray spectroscopy reveals bonding characteristics of La3+ homologues of actinium radiopharmaceuticals
Institut für Nanotechnologie, Helmholtz-Institut Ulm, Karlsruhe Nano Micro Facility
The development of commercially viable fuel cells and metal air batteries requires effective and cheap bifunctional catalysts for the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER). Multi-component Pt-Fe-Co-Ni nanoparticles on multi-walled carbon nanotubes (MWCNTs) were synthesized by wet chemistry route via NaBH4 reduction of metal salts, followed by sintering at different temperatures. The catalyst demonstrates an excellent ORR activity and a promising OER activity in 0.1 m KOH, with a bi-functional overpotential, ΔE of 0.83 V, which is comparable to the values of Pt/C or RuO2. Furthermore, it shows outstanding long-term stability in ORR and OER, namely diffusion limited current density at a potential of 0.3 V decreased just by 5.5% after 10000 cycles in ORR. The results of the PFCN@NT300 indicate a significant effect of the substitution of Pt by the transition metal (TM) and the formation of nanoparticles on the catalytic performance, especially in the OER.
TEM data in Velox and Digital Micrograph format, XPS data in CASA format, TGA as text file, XRD as text file with angle and intensity.
Multi-Component PtFeCoNi Core-Shell Nanoparticles on MWCNTs as Promising Bifunctional Catalyst for Oxygen Reduction and Oxygen Evolution Reactions
The TEM data can be open and analysis through Velox (Thermofisher).
Simultaneously improving sodium ionic conductivity and dendrite behaviour of NaSICON ceramics by grain-boundary modification
The TEM data are acquired and analyzed using Velox software. These images are also exported to png so that it can be opened without any specialized software. The image stacks can be opened with Fiji. The data is sorted according to which figure the it is shown in.
Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT), Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
Raw data for ex situ and in situ/operando characterization and catalytic testing Current address of Enrico Tusini: Stanford Synchrotron Radiation Laboratory, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA Affiliation of Solenn Reguer: Synchrotron SOLEIL, L'Orme des Merisiers, Départementale 128, 91190 Saint Aubin, France
Role of Mg:Al ratio and Pt promotion on mitigating the deactivation of Ni-based Methane Steam Reforming catalysts - Raw data
Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
This repository contains the input data and result data for the paper "Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles". There is a txt file in each folder with the name "Information" that describes the data in more detail.
Input data and result data for the paper "Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles"
The research data provided includes both the processed data itself and Python scripts for reproducing the figures included in the corresponding manuscript. The “Readme.md” file explains the requirements for running the Python scripts. The scripts are numbered to correspond to the figures in the manuscript.
In light of the increasing relevance of alternative energy carriers, the established domain of emission control is confronted with novel challenges. Among these carriers, ammonia (NH$_3$) has emerged as particularly promising due to its high energy density and carbon-free nature. This study focuses on the selective catalytic oxidation (SCO) of NH$_3$ to elemental nitrogen (N$_2$) under lean conditions. While conventional platinum-based catalysts exhibit high activity, they suffer from poor \ch{N2} selectivity and significant formation of nitrous oxide (N$_2$O), a potent greenhouse gas. As an alternative, palladium-based catalysts are investigated due to their inherently higher selectivity toward N$_2$. Although palladium exhibits limited activity under static feed conditions, its performance is markedly enhanced under forced dynamic operation (FDO), wherein short, intermittent reducing pulses are introduced through oxygen cut-off. This operational mode not only boosts catalytic activity beyond that of platinum but also preserves palladium’s superior selectivity. \textit{Operando} time-resolved X-ray absorption spectroscopy (XAS) and \textit{ex situ} Raman spectroscopic analysis of spent catalyst samples indicates that FDO promotes the formation of metallic palladium, which exhibits higher activity compared to palladium oxide that is the predominant phase under lean conditions. \textit{Operando} XAS uncover that a finite fraction of metallic palladium is retained at the catalyst inlet, enhancing low‑temperature activity and likely contributing to improved long‑term stability as long as \qty{300}{\degreeCelsius} is not exceeded for extended periods. These findings correspond directly to axially resolved concentration profiles of gas phase species, which reveal the development of a highly active front zone during FDO, where the majority of NH$_3$ conversion occurs selectively to N$_2$. This phenomenon is observed under both dry and humid conditions, underscoring the robustness of the approach. The results suggest that FDO enables the use of significantly shorter monolithic converters for selective NH$_3$ oxidation, i.e., a reduction of length by up to 50\% in realistic humid conditions, thereby offering substantial reductions in both reactor volume and noble metal demand for practical applications.
Performance enhancement of Pd-based selective ammonia oxidation catalysts through forced dynamic operation
KIT-Bibliothek (BIB), Karlsruher Institut für Technologie (KIT)
A client-side web tool visualizing `.eln` file metadata differences across GitHub pull requests/GitLab merge requests. This tool visualizes changes to `.eln` files (the [ELN File Format](https://github.com/TheELNConsortium/TheELNFileFormat)) across a GitHub pull request or GitLab merge request. It extracts `ro-crate-metadata.json` from each changed `.eln` file on both sides of the diff and shows you what actually changed. Because eLabFTW regenerates many unique identifiers and datetimes on every export (even when nothing meaningful was edited), the tool can mask these values so that only real content changes remain visible in the diff. This is a proof of concept. Do not consider it mature software: there may be problems with large files or repositories, the error handling is currently very limited, and the tool has not been thoroughly tested. See the included README.md or the linked Git repository for more details.
Conventional electrolytes for aluminum metal batteries are highly corrosive because they must remove the Al2O3 layer to enable plating and stripping. However, such corrosiveness impacts the stability of all cell parts, thus hampering the real application of aluminum-metal batteries. The urea/NMA/Al(OTF)3 electrolyte is a non-corrosive alternative to the conventional [EMImCl]: AlCl3 ionic liquid electrolyte (ILE). Unfortunately, this electrolyte demonstrates poor Al plating/stripping, probably because (being not corrosive) it cannot remove the Al2O3 passivation layer. This work proves that no plating/stripping occurs on the Al electrode despite modifying the Al surface. We highlight how urea/NMA/Al(OTF)3 electrolyte and the state of the Al electrode surface impact the interphase layer formation and, consequently, the likelihood and reversibility of Al plating/stripping. We point up the requirement for carefully drying electrolyte mixture and components, as water results in hydrogen evolution reaction and creation of an insulating interphase layer containing Al(OH)3, AlF3, and re-passivated Al oxide, which finally blocks the path for the possible Al plating/stripping.
The data that support the findings of this study are openly available in KIT Library.
Hindered aluminum plating and stripping in urea/NMA/Al(OTF)3 as a Cl-free electrolyte for Al batteries
Raw data for ex situ and in situ/operando characterization and catalytic testing Additional Affiliation of Paolo Dolcet and Silvia Gross: Dipartimento di Scienze Chimiche Università degli Studi di Padova Via Francesco Marzolo 1 35131 Padova, Italy
Influence of CeO2 morphology and initial Pd-Pt interaction degree on catalyst activity and stability - Raw Data
The data is 2D slices which are exported from 3D tomo Data
Ptychographic X-ray computed tomography was used to image nanoporous gold samples, with and without metal oxide additives, following incremental ex situ annealing steps up to 750 °C. Studying the exact same sample volumes following sequential annealing steps allowed accurate 3D imaging of large meso- and macropore systems over extended sample volumes. Extraction of surface area, pore size distribution, and pore connectivity were demonstrated using a skeletonization method. These properties are relevant in the study of functional materials such as catalysts which rely on diffusion processes within the pores. Samples with metal oxide additives were found to be more resistant to thermal annealing and gold ligament coarsening up to 550 °C, while pure nanoporous gold showed a greater loss of specific surface area during the same treatment. An anomalous stabilisation effect was observed during measurements in ambient air, with minimal coarsening observed in sample regions previously exposed to X-rays, and extensive coarsening in neighbouring regions of the same sample which were not previously exposed to X-rays. Thermal annealing of duplicate samples under nitrogen flow eliminated this effect, suggesting the possible formation of a protective surface structure induced by X-ray irradiation of nanoporous gold in air. The same observations may not be visible to conventional bulk sorption or porosimetry methods, showing the benefits of X-ray tomography for quantitative spatially-resolved imaging of porous nanomaterials.
Hard X-ray nanotomography reveals anomalous and expected thermal coarsening behaviour of nanoporous gold
Electron pair distribution function (ePDF), combined with four-dimensional scanning transmission electron microscopy (4D-STEM), provides a powerful approach for uncovering detailed information about the local atomic structure and structural variations in disordered materials. However, achieving high accuracy in ePDF analysis requires careful control of experimental and instrumental parameters. In this study, we systematically investigate the effects of key electron optical and measurement parameters on ePDF analysis using simulations as the primary tool, complemented by experimental validation. Specifically, we examine the influence of diffraction angle range, beam convergence semi-angle, detector pixel resolution, sample thickness (multiple scattering effect), noise, and electron beam precession on the resulting ePDF. By integrating multi-slice electron diffraction simulations with experimental diffraction data, we identify optimal conditions for accurate ePDF extraction and provide practical guidelines to improve analysis precision and reliability. These insights contribute to refining ePDF techniques, particularly for applications involving amorphous and nanostructured materials.
this is data for a journal publication for Ultramicroscopy
four-dimensional scanning transmission electron microscopy
Validating Electron Pair Distribution Function Analysis: The Role of Multiple Scattering, Beam, Measurement, and Processing Parameters
Catalytic testing, DRIFTS, XAS and HERFD-XAS data. XAS and HERFD-XAS data can be processed in the Fastosh or Athena/Artemis software. DRIFTS and light-off curves are best visualized with the Origin software. Reference spectra are additionally provided in the RefXAS database in agreement with the FAIR data principles. For more information on RefXAS see https://doi.org/10.1107/S1600577524006751
Complementary and Spatially Resolved Operando Spectroscopic Investigation of Pt/Al2O3 and Pt/CeO2 Catalysts during CO/NO Conversion - Raw data
Fakultät für Bauingenieur-, Geo- und Umweltwissenschaften (BGU), Karlsruher Institut für Technologie (KIT)
Extract the ZIP folder to obtain the files needed to run PVMultiSegNet. The README file contains instructions for managing the code.
A deep learning framework for simultaneous segmentation of rooftop and ground-mounted photovoltaic (PV) systems using multispectral remote sensing data. The code relates to the publication: S. Krikau and S. Keller, "Deep Learning Framework for Multi-Class Segmentation of Photovoltaic Systems," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2025.3640268.
PVMultiSegNet: Framework for Simultaneous Segmentation of Rooftop and Ground-Mounted Photovoltaics
Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT), Institut für Angewandte Materialien – Zuverlässigkeit und Mikrostruktur (IAM-ZM), Karlsruher Institut für Technologie (KIT)
Raw data containing friction data, profilometry, light microscopy and electron microscopy data
How Surface Treatment of Porous Copper Samples Dictates Dry Friction and Wear
Python code was used to evaluate the pore diameter and lamellae width of the biocatalytic foams from fluorescence microscopy images.
Pythoncode used in: "Harnessing non-covalent protein-protein interaction domains for production of biocatalytic materials systems"
Engineering stress, engineering strain data on Mo-Nb alloys and Mo-Ti (up to 80 at.% Ti) are provided as unicode-compliant Origin project file. The free Origin project viewer might be used to access the data. The compositions are provided in at.%. Engineering stresses are in MPa. Engineering strains are without unit (= 1).
Comprehensive compressive stress-strain data of Mo-Ti and Mo-Nb solid solutions
These are raw TEM data files, including EDX, SAD, and HRTEM, acquired in the .emd format. Velox software is required to view and analyze these files.
Transmission electron microscopy analysis
Processed micro-tomographic scan of the ant Strumigenys sp mandibularis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Apomyrma stygia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera tamon, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0002, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0002 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Solenopsis afrc-zm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
LUBW Landesanstalt für Umwelt Baden-Württemberg
Institute of Meteorology and Climate Research Troposphere Research (IMKTRO), Karlsruhe Institute of Technology (KIT)
The simulations in the KIT-KLIWA Ensemble were performed with COSMO_CLM_5.0_clm7. The data contain the simulation output of 5min precipitation (TOT_PREC), and daily maximum temperature (TMAX_2M). These are results of the 3rd nest of a 3-nest approach (50km->7km->2.8km). The 3rd nest domain is a rotated 0.025° grid covering Southern Germany/Alps, with deep convection switched off. The data are provided for a sample grid point in the center of the simulation domain. The sample point has the coordinates 50°N, 10°E. The simulation covers the period 1971-2005 (historical) and 2006-2100 (rcp8.5). The driving data are CMIP5 MPI-M-MPI-ESM-LR, historical and rcp8.5, r1i1p1. Further information on the simulation setup can be found in Hundhausen, M., Feldmann, H., Laube, N., & Pinto, J. G. (2023): Future heat extremes and impacts in a convection-permitting climate ensemble over Germany. Natural Hazards and Earth System Sciences, doi: https://doi.org/10.5194/nhess-23-2873-2023.
KIT-KLIWA COSMO-CLM downscaling of MPI-ESM-LR to 0.025° resolution: 5min precipitation and daily maximum temperature single grid point sample data
Processed micro-tomographic scan of the ant Discothyrea diana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sphinctomyrmex stali, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara yamatonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus brutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera goeldi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anoplolepis steingroeveri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera talpa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium pharaonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institute of Atmospheric Sciences and Climate
Data from CORONA campaign taking place from 2021-03-25 - 2021-05-02 at KIT Campus North. This dataset represents the processes data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Raw Data to the publication "Dislocation-mediated and twinning-induced plasticity of CoCrFeMnNi in varying tribological loading scenarios"
Processed micro-tomographic scan of the ant Temnothorax formosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes atratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraponera clavata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca ovaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachyponera sennaarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus kiusiuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lepisiota capensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone arhuaca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Goniomma hispanicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius flavus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Octostruma rugifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Labidus praedator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster lineolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Auplopus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Iridomyrmex anceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0013, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0013 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Diese Publikation stellt den digitalen Anhang zur Dissertation "Funktionsorientierte Qualitätsregelung in Produktionsnetzwerken" dar. Es werden weiterführende Analysen, Ergebnisse und Erläuterungen bereitgestellt.
Digitaler Anhang der Dissertation zum Thema "Funktionsorientierte Qualitätsregelung in Produktionsnetzwerken"
Processed micro-tomographic scan of the ant Euponera pilosior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Reynolds number dependent flow resistance of heterogeneous rough surfaces is largely unknown at present. The present work provides novel reference data for spanwise-alternating sandpaper strips as one idealized case of a heterogeneous rough surface. Experimental data are presented and analysed in direct comparison with drag measurements of homogeneous sandpaper surfaces and numerical simulations. Based on the homogeneous roughness data the related challenges and sensitivities for the evaluation of roughness functions from experiments and simulations are discussed. A hydraulic channel height is suggested as an alternative measure for the drag impact of rough surfaces in internal flows. For the investigated heterogeneous roughness it is found that turbulent flow does not exhibit a fully-rough flow behaviour, indicating that the assignment of an equivalent sand grain height as commonly applied for homogeneous roughness is not possible. A prediction of the drag behaviour of rough strips based on an average between rough and smooth drag curves appears promising, but requires further refinement in order to capture the impact of turbulent secondary flows and spatial transients linking smooth and rough surface parts. While turbulent secondary flow induced by the roughness strips yield significant spanwise variation of the mean velocity profile for the investigated rough strips we show that the spanwise averaged velocity profiles collapse reasonably well with a smooth or homogeneous rough wall flow. This allows to extract a global roughness function from the spanwise averaged flow field in good agreement with the one deduced from global pressure drop measurements.
Database: Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips This database provides the data presented in the manuscript "Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips". The database encompasses both experimental and numerical data pertaining to homogeneous and heterogeneous irregular roughness. To better understand the naming convention used in this database, we kindly direct readers to the associated publication for further details.
Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips
Processed micro-tomographic scan of the ant Messor afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Liometopum microcephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothriomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
The dataset contains the raw oscilloscope time-domain data of the voltage across and current through a coil used to excite an inductively coupled plasma. Excitation is carried out by means of two superimposed frequencies in the current, the first being about 2.5 MHz and the second about 7.5 MHz. The current and voltage curves during the plasma ignition were recorded. At different amplitude ratios between 0 and 1, 50 to 60 ignitions were recorded in each case. Likewise, the point of minimum power maintaining the discharge is set for these amplitude ratios. At this point, the voltage over and current through the coil were also recorded over time.
Der Datensatz enthält die Oszilloskoprohdaten über den zeitlichen Verlauf der Spannung über und des Stroms durch eine Spule, die zum Anregen eines induktiv gekoppelten Plasmas verwendet wird. Anregung erfolgt mittels zweier überlagerter Frequenzen im Strom, wobei die erste bei ca. 2,5 MHz und die zweite bei ca. 7,5 MHz liegt. Der Strom- und Spannungsverlauf während der Zündung des Plasmas wurde aufgezeichnet. Bei verschiedenen Amplitudenverhältnissen zwischen 0 und 1 wurden jeweils 50 bis 60 Zündungen aufgenommen. Ebenso wird für diese Amplitudenverhältnisse der Punkt der minimalen Leistungseinkopplung eingestellt, der gerade noch die Aufrechterhaltung der induktiven Entladung gewährleistet. An diesem Punkt wurden die Spannung über und der Strom durch die Spule ebenfalls über die Zeit aufgezeichnet.
The data is organized in to folders according to the set amplitude ratio of the two excitation currents. Where for example "A01" corresponds to an amplitude ratio of 10%. For most of the tuningpoints there exists a MSP measurement in an additional folder with the "_msp" suffix for the corresponding folder name. The data in those folder contains all the different channels of the ozilloscope. Regular ignition captures follow the naming: "SaveOnEvent_chX_TIMESTAMP.wfm" Where X is the number of the oszilloscope channel, and TIMESTAMP is the date and time the data was measured in the format: year month day hour minute second milliseconds. Channel 1 contains the voltage across the coil. Channel 2 contains the current through the coil. Channel 3 contains the drain source voltage across low voltage side of the driving inverter. Channel 4 contains the dc supply voltage. Channel 5 contains the voltage signal of the photo diode used to trigger the measurements. Additionally, each folder also contains a measurement labled "leer_chX.wfm". Those contain the no load (plasma off) measurement to reference the signals for a impedance analysis. All the data is in the "wfm" format of a MSO5 Tektronics oszilloscope, to read the data use the added matlab fuction "simp_wfm_read.m". The csv file cotains the result of an impedance measurement of the excitation coil in the setup. This file in conjuction with the "leer_chX.wfm" files in each folder allows for amplitude and phase correction of the measurement signals.
Coil voltage and current waveforms during ignition of a 10Pa Xe inductive discharge using two frequencies for excitation
Laser-Flash-Apparatus: Netzsch LFA 457, InSb and HgCdTe IR Detectors Raw data on single crystal quartz thermal diffusivity are given as .csv data within the corresponding sample folders: "LT" refers to low temperature (-120 °C to 400 °C), "HT" to high temperature (25 °C to 800 °C) measurements. "_001" or "_100" of the folder and .csv file names denote the measured crystallographic direction, i.e. [100] (a-axis) and [001] (c-axis), respectively. All .csv data contain a header with information on the measurement followed by the data in columns "Time /ms" and "Detector /V". Thicknesses within the header information are given as room temperature (RT) thicknesses. They are approx. 2 mm for "HT1" specimens, approx. 4 mm and 4.7 mm for "HT2" specimens and approx. 10 mm for "Qz_cube" specimens. Information on the laser pulse used for the measurements can be found in the header information for the pulse power (e.g. "#Laser_voltage/V;1538,0") and filter settings that were used (e.g. "#Laser_filter/mm;100,0"). For finite pulse-time effect consideration[1], corresponding exemplary laser pulse profiles can be found in the folder "Laserpulse". [1] e.g., see: Breuer, S. and Schilling, F. R.: Improving Thermal Diffusivity Measurements by Including Detector Inherent Delayed Response in Laser Flash Method, Int J Thermophys, 40, 95, https://doi.org/10.1007/s10765-019-2562-9, 2019)
Quartz single crystal thermal diffusivity measurements by laser flash method: from -120 °C through the α-β phase transition to 800 °C
Processed micro-tomographic scan of the ant Pheidole dyctiota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycocepurus smithii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Prionopelta sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina sicula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dilobocondyla fouqueti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Euprenolepis cf wittei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The Vitruvius approach for consistency in view-based system development proposes a process and mechanisms for developing complex software and software-intensive systems by means of views that are kept consistent by explicit specifications of their dependencies. This repository provides the projects of the Vitruv framework (https://vitruv.tools), which implements that approach. It contains a prepared execution environment for the framework as well as case study projects. In addition, it provides a script to run the environment and automatically resolve all dependencies based on Docker. The repository was created to be used as a reproduction package for the evaluation of the article "Enabling consistency in view-based system development - The Vitruvius approach" by Klare et al., published in "The Journal of Systems & Software".
Reproduction Package for Evaluating the Vitruvius Approach
Dieser Datensatz nimmt Bezug auf die bei KIT Scientific Publishing (KSP) veröffentlichte Dissertation von Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/1000077925), mit der Absicht, die Reproduzierbarkeit der Ergebnisse zu gewährleisten und eine Langzeitarchivierung sicher zu stellen. Der Datensatz enthält alle Abbildungen der Dissertation sowie die Skripte (Programmiersprache R) zur Erstellung dieser Abbildungen. Die Modelldaten, auf denen die Abbildungen beruhen, sind nicht enthalten, da der Datenumfang (mehrere Terabyte) dies nicht zulässt. Die Modelldaten sind in der Large Scale Data Facility (LSDF) des Steinbuch Centre for Computing (SCC) archiviert und können bei Bedarf bereitgestellt werden. Zur Modellevaluierung wurden in der Dissertation auch Messdaten verwendet, die im Rahmen von DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa) erstellt wurden. (Messdaten werden über die Datenbank http://baobab.sedoo.fr/ bereitgestellt. Zugriff erteilt die Administration von DACCIWA.) Der Datensatz enthält die Ordner D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) und „model_framework“. Die Namen der Unterordner enthalten die Abbildungsnummern, wie sie auch in der Dissertation verwendet werden. Bei Rückfragen kann man sich an den Autoren wenden. This dataset refers to the dissertation published in KIT Scientific Publishing (KSP) by Konrad Deetz (https://publikationen.bibliothek.kit.edu/1000077925, ISBN: 978-3-7315-0744-4, DOI: 10.5445/KSP/ 1000077925). With that, the reproducibility of the results and the long-term archiving will be ensured. The dataset contains all figures of the dissertation as well as the scripts (programming language R) to create these figures. The model output, related to these figures, is not included, due to the amount of data (several terabyte). The model output is archived in the Large Scale Data Facility (LSDF) of the Steinbuch Centre for Computing (SCC) and can be made available on demand. For the model evaluation also measurements were used, obtained in the framework of DACCIWA (Dynamics-aerosol-chemistry-cloud interactions in West Africa). (Measurements are provided via the database http://baobab.sedoo.fr/. Access is provided via the DACCIWA administration.) The dataset contains the directories D1 (Domain 1, „CONTINENTAL“), D2 (Domain 2, „SWA“), D3 (Domain 3, „REGIONAL“) and „model_framework“. The subdirectory names contain the figure numbers as used in the dissertation. In case of questions please contact the author. Konrad Deetz, 22 March 2018
By using COSMO-ART, highly resolved process study simulations for 2-3 July 2016 are conducted to assess the aerosol effect on the meteorological conditions of southern West Africa. The meteorological phenomenon Evening Monsoon Flow Enhancement (EMFE) is identified as highly susceptible to the aerosol direct effect, leading to a spatial shift of the EMFE front. In a second aerosol feedback chain the aerosol variation leads to a temporal shift of the stratus-to-cumulus transition.
Assessing the Aerosol Impact on Southern West African Clouds and Atmospheric Dynamics (Dataset)
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.3.1
Processed micro-tomographic scan of the ant Tetramorium sp simillimum group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium gabrielense, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Metapone emersoni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus devestivus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole pieli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mesoponera subiridescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT), Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
The datasets encompas collected training, validation, and test data as well as related mesuared LIG properties. Five dataset include (A) 500 training lines, (B) 100 validation lines and (C) 13 validation rectangles, (D) 50 twofold-control lines, and (E) 10 printed lines used for the demonstrator-circuitry characterization. For each collected sample, laser-beam parameters, and corresponding product (LIG) properties are presented. "Set" indicates input data: grid-distributed in the dataset A, randomly generated in the datasets B-D, and a single calculated value in the dataset E. "Predicted" stands for the neural-network predicted output data. "Measured" represents the actual, physically and optically measured sample properties.
Machine-learning techniques are highly advantageous for automation of a manufacturing process, since they facilitate prediction of the process parameters and product properties. However, the need for process-specific prior knowledge, for elaboration of complex analytical models, and for collection of a comprehensive training dataset notably limits their integration into the real-world applications. We pioneered and studied usage of a streamlined non-analytical approach to predict and optimize process parameters, radically adapted to the conditions of resource and knowledge constraints. The approach was employed for laser-induced graphene, which is an emerging flexible-electronics fabrication technique. The fabrication settings were successfully predicted and controlled by a blackbox neural network from the desired properties of the device, despite a small amount of moderate-quality training data. To prove feasibility of the concept, we designed and manufactured a functional electronic circuit. The proposed procedure is applicable for a broad range of functional materials and fabrication methods.
Datasets to the bidirectional process prediction in the laser-induced-graphene production using blackbox deep learning
Processed micro-tomographic scan of the ant Sericomyrmex bondari, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ravavy afrc-za02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis lucidula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anoplolepis gracilipes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla obscurior, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphoidris afrc-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes simillimus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mayriella sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys triangularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex punctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica neogagates, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from CALISTHO21 campaign taking place from 2021-10-12 - 2021-11-29 at Mt. Helmos HAC2 station. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)
This is the data generated during and/or analyzed during the study "Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes". The data is attributed to each figure in the original publicaton. The code for simulating the production throughput has been deposited and is freely available at https://github.com/JulianPetry/Throughput-calculation. The code in the repository is associated with a GNU General Public License (GPL 3.0).
Vapor phase deposition processes hold great potential for industrializing the deposition of perovskite-based absorbers, offering a pathway to commercialization. Specifically, the scalability, ability to produce conformal coatings, and established use in industrial processing of optoelectronic devices lead to the assumption that thermal sublimation is inherently suitable for commercial-scale perovskite solar cell production. However, ensuring economic viability requires a detailed assessment of achievable production throughputs, a key factor in achieving cost-effective large-scale manufacturing. This work bridges the gap between research focus and industry needs by introducing and analyzing three strategies to increase production throughput in an industrial context: (1) We investigate the thermal stability of key perovskite precursor materials to provide guidelines for safe operation by mitigating decomposition risks. (2) We critically evaluate the industrial feasibility of common deposition modes, including co-deposition and sequential deposition as scaling from laboratory to industrial production introduces new challenges in terms of material utilization and compositional material homogeneity. In addition, we analyze the static deposition rate profiles of key perovskite precursor materials and use this data to conceptualize a linear sublimation source. (3) A simulation-based approach allows an estimation of the horizontal scale-out required to achieve a production throughput of 1000 M10-size wafers per hour, which is considered the minimum threshold for pilot-scale production. This analysis explores strategies to achieve a fabrication throughput that is three orders of magnitude higher than the current academic discussion of accelerated vapor phase deposition based on laboratory-scale equipment. The sublimation of the organic precursor material is identified as a critical bottleneck and alternative deposition methods for achieving high production throughput are discussed. By addressing these key technical and economic challenges, our study offers practical insights for the transition of sublimation-based perovskite deposition from laboratory research to industrial-scale manufacturing.
Research data for: Petry et al. - Industrialization of Perovskite Solar Cell Fabrication: Strategies to Achieve High-Throughput Vapor Deposition Processes
Processed micro-tomographic scan of the ant Crematogaster rectinota, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium kraepelini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium smithi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptothorax acervorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia OK02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole tumida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Datensatz enthält UAS Aufnahmen aus den untersuchten Gebieten. Der Datensatz besteht aus Farbbildern der optischen Kamera, sowie den gleichzeitig aufgenommenen Wärmebildern.
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras sowie einem Gas-Multisensor in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur sowie durch eventuell ausströmende Gase wie z.B. CO2 erfasst werden können.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 1)
Processed micro-tomographic scan of the ant Strumigenys aff denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis afrc-za12, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes cordatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes minutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Institut für Physikalische Chemie (IPC), Karlsruher Institut für Technologie (KIT)
Sample I (folder 231124_Bonnie_1HDNP) - EXPNOs 21, 22, 23, 24, 29, 39, 55 magnetization enhancement: DNP 1H: EXPNO 21 thermal 1H: EXPNO 29 LLS enhancement: DNP LLS: EXPNO 22 PROCNO 11 (trace 1) thermal LLS: EXPNO 39 and EXPNO 55 monitoring LLS decay: EXPNOs 22, 23, 24 Sample II (folder 231125_Bonnie_1HDNP) - EXPNOs 21, 27, 29 magnetization enhancement: DNP 1H: EXPNO 21, PROCNO 11 (trace 1) thermal 1H: EXPNO 27 LLS enhancement: DNP LLS: EXPNO 21 PROCNO 14 (trace 4) thermal LLS: EXPNO 29 monitoring LLS decay: EXPNO 21 Sample III (folder 231120_Bonnie_1HDNP_LLS) - EXPNOs 38, 43 DNP LLS: EXPNO 38 thermal 1H: EXPNO 43
Hyperpolarization of Long-Lived States of Protons in Aliphatic Chains by Bullet Dynamic Nuclear Polarization, Revealed On-The-Fly by Spin-Lock-Induced Crossing (Datasets)
Processed micro-tomographic scan of the ant Myopopone castanea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus attelaboides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cyphomyrmex salvini, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Bundesministerium für Verkehr, Bau‐ und Stadtentwicklung
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.0813/2007 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2000 - 2009
This file contains the data used for the paper "The application of mean averaging kernels to mean trace gas distributions" by Thomas von Clarmann and Norbert Glatthor, ACP, 2019.
Please read the Readme-file in the tar archive.
MIPAS HCN and O$_3$ data used to study the effect of mean averaging kernels
Processed micro-tomographic scan of the ant Strumigenys petiolata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma melanocephalum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor decipiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Azteca sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma edentatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga sauteri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos venator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie (KIT)
Replication data for: Robotic Wiring Harness Bin Picking Solution using a Deep-Learning-based Spline Prediction and a Multi-Stereo Camera Setup
Notice: Internally, the cameras 1, 2 and 3 are called 4, 5 and 6 respectively in this dataset. - intrinsic_calibration_patterns/: Patterns used during intrinsic calibration displayed on the calibration monitor - intrinsic_calibration/: Recordings from each camera of the clibration monitor - extrinsic_calibration/: - pose#.json: Robot poses during the extrinsic calibration - pose#/: Recordings from each camera during extrinsic calibration - validation/: Validation data - pose#: Recordings from each camera during validation
Replication Data for: SCAP2024 Robotic Wiring Harness Bin Picking - Camera Calibration
Processed micro-tomographic scan of the ant Myrmicaria opaciventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus quadripunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This document contains methodology and result of process simulations and techno-economic assessments of the Fischer-Tropsch crude and methanol production
Results of process simulation and techno-economic assessment of the Fischer-Tropsch and methanol synthesis
Processed micro-tomographic scan of the ant Lioponera daikoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica fusca, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trichomyrmex destructor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eciton rapax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
A README.md in german language is included in the Archive
Software zur Überprüfung von Schutzzielen der Informationssicherheit durch Aufzeichnung und Wiedergabe virtueller Maschinen
Processed micro-tomographic scan of the ant Strumigenys precava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Kartidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0003, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0003 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0030, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0030 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Camponotus renggeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster famelica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Oecophylla smaragdina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis aenescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwarping - Train split part 1 of 4
Processed micro-tomographic scan of the ant OUTGROUP_Polistes formosanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys kumadori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
%%%%% How to interpret the simulation results %%%%%: %%% Main folder naming %%%: "village-future": The simulation scenario (grid and building configuration) "hhOpt": Buildings (households) can optimize their internal energy flows "ONT/RONT": Normal distribution transformer/voltage regulated distribution transformer (VRDT) "QEMS": Quarter energy management system, means that at least one grid control strategy is used "P/Q/PQ/noPQ/noControl": P=active power targets can be used, Q=reactive power control can be used, noPQ=only VRDT can be used, noControl=no grid control at all "full/local-only": Centralized/decentralized grid control strategy "GSUI-60": Grid simulation update interval=60 seconds "d_1970_6_30_0": Start of simulated time is 30 June 1970 00:00 AM %%% Subfolder naming %%%: "s_13749851": Random seed configuration "run_2021-05-25-16-38-29": Starting time of simulation run %%% Subsubfolder naming %%%: "nodeX": Folder for a particular building, numbered according to the grid node, where each building is connected %%% Log files for the entire grid %%%: In general: currentTick is given in Unix time activePowerLog: Active power progressions at all grid nodes in Watt reactivePowerLog: Reactive power progressions at all grid nodes in Var buildingsAggregatedLog: Various power progressions aggregated for all buildings in the grid in Watt currentLog: Current progressions for all lines in the grid in Ampere gridSimulationAggregated: Various grid characteristics aggregated over the entire simulation run, voltages and line utilizations are normalized to nominal values mediumVoltageAggregated: Aggregated characteristics of the voltage at the primary side of the transformer in pu mediumVoltageLog: Progression of the voltage at the primary side of the transformer in pu transformerAggregatedLog: Aggregated characteristics of the transformer, temperatures are given in °C, remaining values have to unit transformerStepLog:Progression of VRDT steps, remains 0 if no VRDT is used, no unit transformerTemperatureLog: Progression of various transformer characteristics, temperatures are given in °C, remaining values have to unit voltageLog: Progressions of voltages at all nodes in the grid in pu %%% Log files for specific buildings %%%: DISHWASHER/DRYER/ELECTRICSTOVE/INDUCTIONCOOKTOP/WASHINGMACHINE: TOTAL=number of planned appliance runs, AVGTOTAL=number of expected appliance runs based on probality distributions, REALTOTAL=number of realized appliance runs, TOTAL0/TOTAL1=number of realized appliance runs for different running profiles batteryLog: Progressions of battery energy storage system active charge/discharge power in Watt, reactive charge/discharge power in Var and state of charge in Watt*second, positive values denote charging, negative values discharging electricVehicleLog: Progressions of electric vehicle active charge power in Watt, reactive charge power in Var powerLog: Progressions of various building powers in Watt, prices and costs in Euro-cent simResultsAggregated: Various aggregated energy amounts in kWh and costs in Euro-cent
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.923/2015 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2005 - 2014
Processed micro-tomographic scan of the ant Prenolepis naoroji, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole parva, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole capellinii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica rufa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0024, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0024 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
The download package includes a README.md file which contains installation instructions and instructions on how to use the provided scripts
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging.
A microlocal and visual comparison of 2D Kirchhoff migration formulas - software package
This is the MUSICA IASI dataset of {H2O, dD} pairs used for the publication "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling" (Dahinden et al., 2021, https://doi.org/10.5194/acp-2021-269). It includes the MUSICA IASI {H2O, dD} pair results over Tenerife for the period July - August 2013. Information about the MUSICA IASI dataset can be found in Diekmann et al. (2021, https://doi.org/10.5194/essd-2021-87).
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"
Processed micro-tomographic scan of the ant Pheidole bicarinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data comprise the ice nucleation measurements for the SOA, zeolite/SOM, and CFA/SOM particles with the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains four directories (Fig9, Fig10, Fig11, and Fig12) and the additional text file “info.txt”, which explains the contents of the directories and the structure of the data tables. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "How Porosity Influences the Heterogeneous Ice Nucleation Ability of Secondary Organic Aerosol Particles" by Wagner et al. (2024) in the Journal of Geophysical Research (Atmospheres)
Name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given in 18 latitude bands, from 90S to 90N, each of 10 degrees large, and for 71 altitudes, from 0 to 71 km.
Regression coefficients of parametrisation of natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO$_2$, CH$_3$CL, HNO$_3$, N$_2$O$_5$, CCl$_4$, CFC$_{11}$, CFC$_{113}$, CFC$_{12}$, CH$_4$, ClO, ClONO$_2$, CO, CO$_2$, H$_2$O, HBr, HCl, HF, HNO$_4$, HO$_2$, HOBr, HOCl,, N$_2$O, NO, NO$_2$, NO$_3$, O$_3$, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project.
Regression Coefficients of parametrisation of function of natural atmospheric variability
Processed micro-tomographic scan of the ant Odontomachus troglodytes, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus nicobarensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista ramulorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorylus orientalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmica rubra, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.4
Processed micro-tomographic scan of the ant Crematogaster vagula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus lighti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Philidris sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus fulvopilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga butteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax olitor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla afrc-za08, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anoplolepis custodiens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rasopone ferruginea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cerapachys sulcinodis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Angewandte Biowissenschaften (IAB), Karlsruher Institut für Technologie (KIT)
Drug-induced differential gene expression analysis (DGEA) is an essential tool for uncovering the molecular basis of phenotypic changes in cells upon drug treatment, and ultimately for understanding the mechanisms of individual tumor responses to anticancer drugs. Performing high-throughput DGEA after drug treatment is challenging due to the very high cost and labor-intensive multi-step sample preparation protocols. In particular, performing drug-induced DGEA on cancer cells derived from patient biopsies is even more challenging due to the scarcity of available cells. We introduce a novel, miniaturized method operating at the nanoliter scale for drug-induced DGEA. This innovative approach facilitates high-throughput and parallel analysis of the drug response of cells derived from patients, effectively circumventing issues related to limited samples and the laborious nature of traditional protocols. The method is based on the Droplet Microarray (DMA) platform, a microscope glass slide with a pattern of hydrophilic spots separated by a superhydrophobic background, which enables the formation of droplets suitable for testing a minute number of cells with compounds. DMA allows for phenotypic analysis using microscopy, followed by obtaining cDNA from the treated cells and DGEA. The procedure involves cell lysis for mRNA isolation and cDNA conversion on DMA, followed by pooling of the droplets and subjecting them to qPCR analysis. In this work, we demonstrate the protocol for drug-induced DGEA on the DMA platform using cell lines and primary patient-derived chronic lymphocytic leukemia (CLL) cells. The methodology established here is critical for performing DGEA on a limited number of cells, with potential applications in functional precision oncology. In this way, this method helps to gain insights from the molecular profiling of unique patient-derived samples after drug treatment in vitro, which is essential for understanding individual tumor response to anticancer drugs.
The provided data are technical repeats from the research experimental details. including qPCR data and image analysis for cellular viability.
Drug-Induced Differential Gene Expression Analysis on Nanoliter Droplet Microarrays: Enabling Tool for Functional Precision Oncology
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0005, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0005 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
# Readme Unzip the file. The source code is inside. ## Files - `main_DUNE.cpp` contains the main function, which calls `print_excl_curve<CLASS>(N_ threads, parameters..., EV, STEP_LEN, ...)`, which uses the predictor defined by `CLASS`, to find the `EV` events/year curve in parameter space starting at `parameters...`and using length `STEP_LEN`. For the pure dipole case, the mass-mixing parameter `Usq` is normally set to zero. Note that the program automatically uses `N_threads` threads, whose default value is 4. Use `run.sh` to use the correct number of processors. - In `pred_in_out_DUNE.hpp`, a wrapper class is defined, which contains both the inside- and outside-events predictor. - The files `predictor_DUNE.*` contain the class for the outside-events predictor. This class inherits from `predictor_base.hpp`, which deals with the precomputation and tabulation of the kinematic factors in the integrand, like the cross section and anything depending only on the momenta and scattering angle of the incoming and outgoing neutrino. It also inherits its constants from `consts/DUNE_{FD,ND}_consts.hpp`, which allows easy switching between the near-detector or far-detector geometry. - Similarly, the file `inside_pred_DUNE.hpp` defines the inside-events predictor, which also inherits its geometric constants from `consts/DUNE_{FD,ND}_consts.hpp`. - After running `compile-all.sh`, which compiles relevant `*.cpp` files into object files, run `compile-dune.sh`, which compiles `main_DUNE.cpp` with the object files into the binary `a.out`. Note that you have to recompile if changing class inheritance. To compile with debug flags, first run `compile-all.sh 1` and then `compile-dune-debug.sh`.
Processed micro-tomographic scan of the ant Cephalotes clypeatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Adelomyrmex samoanus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Sceliphron madraspatanum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium lanuginosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Procryptocerus hirsutus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data are stored with Matlab codes producing the figures in the manuscript. In other cases, data are stored in the format of the origin lab software. Labels and comments are given in the header of the origin worksheets.
Electron-phonon coupling, i.e., the scattering of lattice vibrations by electrons and vice versa, is ubiquitous in solids and can lead to emergent ground states such as superconductivity and charge-density wave order. A broad spectral phonon line shape is often interpreted as a marker of strong electron-phonon coupling associated with Fermi surface nesting, i.e., parallel sections of the Fermi surface connected by the phonon momentum. Alternatively broad phonons are known to arise from strong atomic lattice anharmonicity. Here, we show that strong phonon broadening can occur in the absence of both Fermi surface nesting and lattice anharmonicity, if electron-phonon coupling is strongly enhanced for specific values of electron-momentum, k. We use inelastic neutron scattering, soft x-ray angle-resolved photoemission spectroscopy measurements and ab-initio lattice dynamical and electronic band structure calculations to demonstrate this scenario in the highly anisotropic tetragonal electron-phonon superconductor YNi$_2$B$_2$C. This new scenario likely applies to a wide range of compounds.
Electron-momentum dependence of electron-phonon coupling underlies dramatic phonon renormalization in YNi2B2C
Processed micro-tomographic scan of the ant Sericomyrmex cf mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex cf diana, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eurhopalothrix procera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex afric-tz01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Research data, research results, and publications of the PhD thesis entitled 'Validation Framework for RDF-based Constraint Languages', submitted to the Department of Economics and Management at the Karlsruhe Institute of Technology (KIT).
# PhD Thesis---* Title: **[Validation Framework for RDF-based Constraint Languages](http://dx.doi.org/10.5445/IR/1000056458)*** Author: **[Thomas Hartmann](http://www.dr-thomashartmann.de/)*** Examination Date: 08.07.2016* University: [Karlsruhe Institute of Technology (KIT)](https://www.kit.edu/english/)* Chair: [Institute of Applied Informatics and Formal Description Methods](http://www.aifb.kit.edu/web/Hauptseite/en)* Department: [Department of Economics and Management](http://www.wiwi.kit.edu/english/index.php)* 1. Advisor: [Prof. Dr. York Sure-Vetter](http://www.aifb.kit.edu/web/York_Sure-Vetter/en), Karlsruhe Institute of Technology* 2. Advisor: [Prof. Dr. Kai Eckert](https://www.hdm-stuttgart.de/forschung_transfer/forschungsthemen/metadatenmanagement/team/eckert), Stuttgart Media University---***PhD Thesis Download**** [http://dx.doi.org/10.5445/IR/1000056458](http://dx.doi.org/10.5445/IR/1000056458)***Publications**** Complete set of publications: [publications](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/publications)***Research Data, Research Results, and Publications**** Link to the KIT research data repository: [http://dx.doi.org/10.5445/BWDD/11](http://dx.doi.org/10.5445/BWDD/11)---***RDF Validation Requirements Database**** [http://purl.org/net/rdf-validation](http://purl.org/net/rdf-validation)***Validation Environment**** Demo: [http://purl.org/net/rdfval-demo](http://purl.org/net/rdfval-demo)* Source code: [software/rdf-validator](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/software/rdf-validator)---***Chapter 2: Foundations for RDF Validation**** XML validation: [chapter/chapter-2/xml-validation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-2/xml-validation)***Chapter 3: Vocabularies for Representing Research Data and Related Metadata**** RDF vocabularies commonly used to represent different types of research data and related metadata: [chapter/chapter-3/common-vocabularies](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies)* Complete running example in RDF: [chapter/chapter-3/common-vocabularies/running-example](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-3/common-vocabularies/running-example)***Chapter 4: RDFication of XML Enabling to use RDF Validation Technologies**** Evaluation results: [chapter/chapter-4/evaluation](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-4/evaluation) ***Chapter 6: Consistent Validation across RDF-based Constraint Languages**** Constraint languages implementations: [chapter/chapter-6/constraint-languages-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-6/constraint-languages-implementations)***Chapter 7: Validation Framework for RDF-based Constraint Languages**** Formal specification, HTML documentation, and UML class diagram of the RDF Constraints Vocabulary (RDF-CV): [chapter/chapter-7/rdf-constraints-vocabulary](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-7/rdf-constraints-vocabulary)* Generic SPIN mappings for constraint types: [chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-7/generic-SPIN-mappings/RDF-CV-2-SPIN.ttl)***Chapter 8: The Role of Reasoning for RDF Validation**** Implementations for all constraint types expressible by OWL 2 QL, OWL 2 DL, and DSP as well as for major constraint types representable by ReSh and ShEx: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)* Implementation of reasoning capabilities for all reasoning constraint types for which OWL 2 QL and OWL 2 DL reasoning may be performed: [chapter\chapter-8\reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl](https://github.com/github-thomas-hartmann/phd-thesis/blob/master/chapter/chapter-8/reasoning-constraint-types-implementations/OWL2-Reasoning-2-SPIN.ttl)* Validation and reasoning implementations of constraint types: [chapter/chapter-8/constraint-types-implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-8/constraint-types-implementations)***Chapter 9: Evaluating the Usability of Constraint Types for Assessing RDF Data Quality**** Implementations of all 115 constraints: [chapter/chapter-9/constraints](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/constraints)* Evaluation results for each QB data set grouped by SPARQL endpoint: [chapter/chapter-9/evaluation/data-sets/QB](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/evaluation/data-sets/QB)* Vocabulary implementations: [chapter/chapter-9/vocabularies/implementations](https://github.com/github-thomas-hartmann/phd-thesis/tree/master/chapter/chapter-9/vocabularies/implementations)***Appendix**** Link to appendix: [http://dx.doi.org/10.5445/IR/1000054062](http://dx.doi.org/10.5445/IR/1000054062)
Validation Framework for RDF-based Constraint Languages - PhD Thesis Research Data
Raw data behind the publication with the title "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction". Contains EBSD data, friction data, secondary electron microscopy images as well as optical topography data.
Raw data to the paper "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction"
Processed micro-tomographic scan of the ant Crematogaster stollii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis decemdentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant stigmatomma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from ExINP_ZEP campaign taking place from 2023-04-26 - 2024-04-09 at Zeppelin Observatory. This dataset represents the processed data (Level 1) as created by the PIA software v2.0.2 (https://doi.org/10.5281/zenodo.15592786).
Colorado Department of Public Health and Environment
Data for all figures appearing in publication
Dataset for the paper entitled: The Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03): Field Intercomparison of Ice Nucleation Measurements
Processed micro-tomographic scan of the ant Apterostigma urichii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp insanus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys morisitai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Pompilidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
This file contains the reservoir data and model outputs for the manuscript titled, "Is drought protection possible without compromising flood protection? Estimating the maximum dual-use benefit of small flood reservoirs in Southern Germany" by Sarah Quynh-Giang Ho and Uwe Ehret. To properly read this data, the class definition file hrb.m must be downloaded from https://doi.org/10.5281/zenodo.12724797 .
Der vorliegende .csv Datensatz enthält die Variationsarten der subsysteme der iPhone Generationen G1 (iPhone) -15(iPhone 13) und deren Varianten. Zu den Variationen werden die jeweiligen Referenzsystemelemente und die Quellen, aus denen die Information stammt, referenziert.
The present .csv data set contains the variation types of the subsystems of the iPhone generations G1 (iPhone) -15(iPhone 13) and their variants. The respective reference system elements and the sources from which the information originates are referenced for each variation.
This code is used for the numerical experiment in Section 2 of the preprint "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions" by Benjamin Dörich.
Part of the code relies on code written by J. Leibold in https://doi.org/10.5445/IR/1000130223 . The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Python3. To use this code, deal.II (release 9.4.0) has to be installed, cf. https://www.dealii.org/9.4.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II ." Next, call "make release" and "make". Then, one can run the commands (can be done in paralell) ./main P1 ./main P2 ./main P3 ./main euler ./main midpoint to execute the code. This performs the computations and generates the files error_space_Q1_ritz.txt error_space_Q2_ritz.txt error_space_Q3_ritz.txt error_time_ImplEuler.txt error_time_MidpointRule.txt in the folder "error" containing the results of the numerical experiments. After that, the plots can be generated with the Python3 Script using in the terminal python3 wave_non_auto_error_plots.py in the folder "tikz".
Code to "Strong norm error bounds for quasilinear wave equations under weak CFL-type conditions"
Processed micro-tomographic scan of the ant Solenopsis afrc-za09, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acanthoponera mucronata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pristomyrmex yaeyamensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The published catalog includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within longitude range between 41.64 and 42.34, and latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given.
In the frame of the DAMAST (Dams and Seismicity) (https://www.damast-caucasus.de/) project we deployed a dense high-fidelity seismological real-time network to investigate in detail the spatio-temporal seismicity distribution around the Enguri high dam, situated in the greater Caucasus in western Georgia. We aim at recording the weak seismicity in a 10 km distance around the dam structure. We installed an 8-station local seismic network to record weak seismicity in 10 km around the dam, with good coverage and high sensitivity around Ingirishi fault segments. To lower the detection threshold by reducing the ambient background noise, we installed four seismic stations in shallow (ca. 20 m) and deep boreholes. From these stations, KIT1 with a depth of ca. 250 m is the deepest seismological station in Georgia. The network installation was performed in three main stages, October 2020, December 2020, and September 2021. The published catalog, which is a collaboration between Geophysical Institute of KIT, and M. Nodia Institute of Geophysics, I. Javakhishvili Tbilisi State University (TSU), includes preliminary processing results of 316 earthquakes occurred between October 2020 to July 2022, within the longitude range between 41.64 and 42.34, and the latitude range between 42.53 and 43. For each event, origin time, latitude, longitude, depth (km), number of stations, GAP, RMS, magnitude (if applicable) and magnitude type are given. A 1-D velocity model of the upper mantle in Caucasus and adjacent regions is employed for the location process (Murusidze., G. 1987). Pg- and Sg-phases are manually picked using SEISAN-Earthquake analysis software (Havskov and Ottemoller, 1999.) and for each event, local magnitude (Ml) is estimated using S-phase amplitude read on both horizontal components. The catalog is presented and discussed in detail in Karamzadeh et. al 2023.
Processed micro-tomographic scan of the ant Cylindromyrmex striatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontoponera denticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ochetomyrmex semipolitus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cardiocondyla venustula (globinodis form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
cardiocondyla venustula (globinodis form)
Processed micro-tomographic scan of the ant Oxyepoecus myops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Melissotarsus FHG02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster teranishii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0042, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0042 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur erfasst werden können.
** Folder "products" ** Mosaicked Geotiffs of two Datasets (Run 310 and Run 314). Including RGB, NDVI and thermal data (intensities only). ** Folder "rawdata" ** Datasets of different locations acquired during UAS campaigns with a multi modal sensor system including Data of thermal infrared sensor Flir Tau 2 640 (TIR), RGB of Mapir Survey 3 and hyperspectral data acquired with the Cubert S185 (HS). Raw Data of various Datasets: 1. Run 310 - Run 314 (RGB, TIR, HS) * Location: Nittel, Germany, 49.661411, 6.464998 * Date: 16.07.2019 2. Run 318 - Run 319 (RGB, TIR, HS) * Location: Nieder-Olm, Germany, 49.895667, 8.207172 * Date: 04.09.2019 3. Run 320 - Run 322 (RGB, TIR) * Location: Mayen, Germany, 50.334727, 7.243786 * Date: 17.12.2019 Sub-folder Cubert: Data of flight, dark-reference and white-reference measurements (reflectance = 0.51). Sub-folder Flir: csv files of TIR sensor containing data and meta data, additional jpg file. Data captured with ThermalCapture 2.0. Data converted using Thermoviewer. Sub-folder Mapir: JPG files of RGB Camera. File *.spz: measurements of an irradiance spectrometer (qmini,RGB Photonics). Not calibrated. ** Folder "matlabcode" ** Code to load used data with matlab.
UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 2)
Processed micro-tomographic scan of the ant Tetramorium metactum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium aculeatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys minutula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Jorge Sanchez, Antoine Amsaleg, Axel Loewe
In silico experiments to study the sinoatrial node characteristics. The experiment script is able to modify several electrophysiological parameters using as an input a vtk file.
In Silico Characterization of the Sinoatrial Node (v2.0)
Tabletop Microplotter - Substrate Holder Plate
Processed micro-tomographic scan of the ant Pseudomyrmex ejectus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rossomyrmex quandratinodum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex hopei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the consumables utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Consumables for Tribological Experiments - Sapphire on Copper - FAIR Dataset
Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
This is data for Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter
Aerosol distributions are of great relevance for air quality especially for cities like Stuttgart with limited air exchange due to its location in a basin. We collected a comprehensive set of data from remote sensing, in-situ methods including radiosondes for the urban background of downtown Stuttgart to determine the impact of boundary layer mixing processes on local air quality and to evaluate the simulation results of the high-resolution large eddy simulation (LES) model PALM-4U at 10 m grid spacing. Stagnant meteorological conditions caused accumulation of aerosols and chemical composition analysis shows that ammonium nitrate (37% ± 9%) and organic aerosol (OA, 34% ± 9%) dominated during this winter study. Case studies show that clouds during previous nights can weaken temperature inversion and accelerate boundary layer mixing after sunrise by up to 3 hours. This is important for ground-level aerosol dilution during morning rush hours. Furthermore, our observations validate results of the LES model PALM-4U in terms of boundary layer heights and aerosol mixing for 48 hours. The simulated aerosol concentrations follow the trend of our observations but are still underestimated by a factor of 4.5 ± 2.1 due to missing secondary aerosol formation processes, uncertainties of emissions and boundary conditions in the model. This paper firstly evaluates the PALM-4U model performance in simulating aerosol spatio-temporal distributions, which can help to improve the LES model and to better understand sources and sinks for air pollution as well as the role of horizontal and vertical transport.
Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter
Institut für Technische Chemie und Polymerchemie
Institut für Katalyseforschung und -technologie
Each folder contains a stack of images showing the elemental distribution for all the elements used in sample characterization. Another file, "mux.tiff," is also included for absorbance and thickness studies.
proton exchange membrane water electrolysis
Elemental Distribution in Catalyst-Coated Membranes of PEM Water Electrolysers Tracked by Synchrotron X-ray Fluorescence - Fe2+ contaminated CCM
Karlsruhe Nano Micro Facility (KNMF), Karlsruher Institut für Technologie (KIT), Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)
The data (extracted from a LabVIEW program) are provided as an originPro file. Each figure of the main text corresponds to a different folder.
Elastoresistivity in the incommensurate charge density wave phase of BaNi₂(As₁₋ₓPₓ)₂
TEM raw dataset corresponding to the graphs and maps depicted in the manuscript
Influence of Zr-doping on structure and transport properties of rare earth high-entropy oxides
Data of the magnetization, anomalous Hall effect, and anomalous Nernst effect measured on a Mn5Si3 single crystal.
Anomalous Nernst effect in the noncollinear antiferromagnet Mn5Si3
New version available at 10.35097/c00su4fewkzanfgh All raw data shown in the manuscript
Dataset of High-fidelity control of a ${}^{13}$C nuclear spin coupled to a tin-vacancy center in diamond
Data for the MVM-IOD dataset. Documentation for the data can be found on our GitHub page: https://github.com/Pimpilimpo/MVM-IOD
MVM-IOD: An Industrial Object-Centric Benchmark Dataset for the Evaluation of 3D Reconstruction Methods
The data can be opened and processed through Velox and DigitalMicrograph.
The Impact of Microstructure on the Filament Growth at the Sodium Metal Anode in All Solid-State Sodium Batteries
This code facilitates the automated monitoring and tuning of a microfluidic flow reactor using data provided by a benchtop NMR spectrometer. See the README.md provided with the code for more details.
Software used in: "Towards Precision Biocatalysis - Leveraging Inline NMR for Autonomous Experimentation in Flow Reactors"
Descriptions of the data formats are provided in the subdirectory 'description'
Supported nanocatalysts exhibit different performance in batch and fixed bed reactors for a wide range of liquid phase catalytic reactions due to differences in metal leaching. To investigate this leaching process and its influence on the catalytic performance, a quantitative 3D characterization of the particle size and the particle distribution is important to follow the structural evolution of the active metal catalysts supported on porous materials during the reaction. In this work, electron tomography has been applied to uncover leaching and redeposition of a Pd@CMK3 catalyst during formic acid decomposition in batch and fixed bed reactors. The 3D distribution of Pd NPs on the mesoporous carbon CMK3 has been determined by a quantitative tomographic analysis and the determined structural changes are correlated with the observed differences in activity and stability of formic acid decomposition using batch and fixed bed reactors.
Disclosing the Leaching Behaviour of Pd@CMK3 catalysts in Formic Acid Decomposition by Electron Tomography
Data from "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy" The data contains following file types: *.ang are electron backscatter diffraction datasets in ASCII format *.tif and *.jpg are raw images/micrographs from the manuscript in unedited form *.dat are data from graphs in the manuscript provided in ASCII format with header information about the data Temperatures are provided in °C. Stresses are given in MPa. Strains are given in 1 or % depending on context. Durations are provided in h. Strain/creep rates are provided in 1/s. Phase fractions are provided in vol%.
Data from the revised version of "Creep behavior of a precipitation-strengthened A2-B2 refractory high entropy alloy"
Included are 1H NMR data recorded on different spectrometers (Spinsolve 60 Ultra and Spinsolve 80, Magritek; 800 MHz Avance III spectrometer with He-cooled cryoprobe and 500 MHz Avance NEO spectrometer with conventional probe, Bruker) in their native formats. Spectra are sorted by their appearance in the associated manuscript and ESI. Most spectra are acquired on extracts of human urine for the detection and quantification of endogenous metabolites. The parahydrogen-based hyperpolarization techniques Signal Amplification By Reversible Exchange (SABRE) and non-hydrogenous Para-Hydrogen Induced Polarization (nh-PHIP) are used for signal enhancement.
Metabolites in a urine extract are signal-enhanced by SABRE† hyperpolarization and detected using a benchtop NMR spectrometer. Quantification by standard addition is demonstrated for endogenic urinary nicotinamide (vitamin B3). Even higher sensitivity is achieved in an automated setup for multi-scan SABRE experiments. This hyperpolarization scheme is able to expedite biomarker detection and quantification, while maintaining low infrastructural requirements.
Benchtop NMR Signal Enhancement of Metabolites in Urine Extract using SABRE
An archive with xyz-coordinates of atoms in 4-layer Pt(100) slabs and species present in their surface or interstitial locations under conditions of ammonia oxidation over Pt-based catalysts. The species enclosed are O, N, and NHx. The atomic coordinates of these structures were optimized by DFT and are available in txt format.
Atomic coordinates of DFT-optimized Pt structures with O, N, and NHx species in surface or interstitial locations
Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
Documents: -Design of Experiments: Path information and technological values of the experiments -Data: All dataframes organized by milling machine, material, workpiece and process. -NC Code: NC programs executed on the machines Experimental data: -Machine: Retrofitted DMC 60H and DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The present dataset is intended to serve as a basis for developing time series prediction models for milling machines. For this purpose, milling processes were recorded with a sampling rate of 500 Hz on a DMG CMX 600 V (DOI: 10.5445/IR/1000157789) and a DMC 60H (DOI: 10.35097/1738) with a Siemens Industrial Edge. A model training component (workpiece 1) and a validation component (workpiece 2) were milled. Both were used to machine steel and aluminum. Several records were taken with and without the workpiece (aircut) to represent different levels of complexity. The datasets have been prepared as a standardized CSV file for ease of use. The process datasets are extended with simulated input signals according to "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753). The simulated forces of the DMC 60H were divided by an experimentally determined machine coefficient to obtain a more accurate approximation of the actual forces. The coefficients are 5.42189 for aluminum and 2.78245 for steel.
Der vorliegende Datensatz soll als Grundlage für die Entwicklung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse dienen. Dazu wurden Fräsprozesse mit einer Abtastrate von 500 Hz auf einer DMG CMX 600 V (DOI: 10.5445/IR/1000157789) und einer DMC 60H (DOI: 10.35097/1738) mit einer Siemens Industrial Edge aufgenommen. Es wurde ein Bauteil für das Modelltraining (Bauteil 1) und ein Bauteil für die Validierung (Bauteil 2) gefertigt. Beide wurden sowohl für die Bearbeitung von Stahl als auch von Aluminium verwendet. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) gemacht, um unterschiedliche Komplexitäten abbilden zu können. Die vorhandenen Datensätze wurden für eine einfache Anwendung als standardisierte CSV-Datei aufbereitet. Die Prozessdatensätze wurden um simulierte Inputsignale gemäß "Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models" (DOI: 10.5445/IR/1000165753) erweitert. Die simulierten Kräfte der DMC 60H wurden durch einen experimentell bestimmten Maschinenkoeffizienten dividiert, um eine genauere Annäherung an die tatsächlichen Kräfte zu erhalten. Die Koeffizienten betragen 5,42189 für Aluminium und 2,78245 für Stahl.
Training and validation dataset 3 of milling processes for time series prediction
As the perovskite solar cell (PSC) industry moves toward large‐scale manufacturing, production processes must enable high‐throughput fabrication and simple process integration. The hybrid two‐step deposition route has emerged as a promising method for achieving conformal coatings on micron‐scale textures, a critical feature for perovskite/silicon tandem photovoltaics. In this work, we present a fully sequential route, wherein the inorganic materials CsCl and PbI2 are deposited separately, allowing for facile industrial implementation as compared to the commonly codeposited inorganic scaffold. Microstructural analysis reveals a change in preferred crystal orientation of the PbI2 platelets with codeposition resulting in horizontal growth, whereas sequential deposition promotes vertical growth with a secondary tilted orientation. Elemental mapping of the final perovskite absorber shows homogeneous distribution of Cs, formamidinium, and I, while Pb and Cl largely retain their initial scaffold positions. PSCs fabricated via sequential deposition of the inorganic scaffold demonstrate improved process repeatability and reach an efficiency of 20.3%, ranking among the highest reported efficiencies for wide‐bandgap hybrid two‐step processed PSCs. These findings underscore the potential of fully sequential hybrid deposition as a viable route toward industrial PSC production.
This is the data generated during and/or analyzed during the study "Benchmarking Inorganic Deposition Routes for Hybrid Two-Step Processed Perovskite Solar Cells: A Materials Perspective". The data is attributed to each figure in the original publication (main manuscript and and Supporting Information).
Research data for: Benchmarking Inorganic Deposition Routes for Hybrid Two-Step Processed Perovskite Solar Cells: A Materials Perspective
This is an addendum to the previously published dataset with the title "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]" (DOI: 10.35097/1947).In the previous publication, the "cell_eisv2.zip" file was incomplete and only contained data for cells P001_1 to P044_2.The fixed "cell_eisv2_fixed.zip" file of this addendum contains data for all 228 cells P001_1 to P076_3.
Addendum to "Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]"
This is the source code for data generation and plotting accompanying the work "Noisy Qudit vs Multiple Qubits: Conditions on Gate Efficiency for Enhanced Fidelity" (2024) by D.Jankovic, J-G. Hartmann, P-A. Hervieux, M. Ruben. This jupyter IPython notebook contains a section per figure or pair of figures. Each section imports and/or generates and saves the data that are then plotted. The dat/ folder contains the pulses generated as described in the Methods section of the paper. "qudit.py" is a custom library for easy interfacing of qudit systems with qutip.
Source Code for data generation and pulses data for Noisy Qudit vs Multiple Qubits
The gearbox housing is one of the main components of an electric vehicle which has an influence on the NVH behaviour of the gearbox and overall vehicle, especially in the context of e-mobility. Vibrations inside the gearbox are mainly excited at the gear mesh and then transmitted to the housing through shafts and bearings, where it is radiated as air-borne noise. Because of the importance of reducing the weight of electric vehicles, housing structures are often target of lightweight design measures, which, in turn, often lead to worsened NVH behaviour. In this paper, the effects of different lightweight design measures on the vibrational behaviour of a gearbox housing are evaluated by numerical simulations. Firstly, the basic model (without lightweight design) has been simulated numerically in a commercial finite element software to extract the natural frequencies, mode shapes and frequency response functions for specific points of interest. These results have been verified by the measurement using 3D laser scanning vibrometer. Then, multiple variants of the electric vehicle gearbox housing are created in CAD and numerically simulated with different lightweight design. The results of the modal analysis provide valuable insights on the vibrational behaviour due to lightweight design measures.
daga_230216_original_acc: for the original version 230220_daga_7_1 : for version 'a' in the paper daga_2023_rib_1_8_e7700_damp003: for the version 'b' in the paper 230220_daga_9_1: for the version 'c' in the paper daga_230215_thickness: for the version case 2 in the paper 230215_withoutribs: for the version case 1 in the paper
Numerical study of noise and vibration behaviour of lightweight gearbox housing
Processed micro-tomographic scan of the ant Strumigenys aff trudifera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Meranoplus inermis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus ceylonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to run the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Skript plot_figures.m. Note that running the C++ Code will take quite long, since it runs all calculations for all figures.
This code was used for the numerical experiments in the preprint (CRC Preprint 2020/20; URL: http://www.waves.kit.edu/downloads/CRC1173_Preprint_2020-20.pdf) and in the paper "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions" by M. Hochbruck and J. Leibold (cf. Section 4.5)
Numerical experiments to "An implicit-explicit time discretization scheme for second-order semilinear wave equations with application to dynamic boundary conditions"
Processed micro-tomographic scan of the ant Anochetus sp n inermis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax nylanderi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataglyphis bombycina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Analysis (IANA), Karlsruher Institut für Technologie (KIT)
(Technical Remarks) This program is intended to reproduce the results from the dissertation "Strichartz estimates and error analysis of time integrations schemes for wave-type equations" of Maximilian Ruff. The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Run "run_schr.py" Parts of the code relies on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Numerical experiments to "Strichartz estimates and error analysis of time integrations schemes for wave-type equations"
Processed micro-tomographic scan of the ant Pogonomyrmex badius, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis latona, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiments in the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions" by Jan Leibold (cf. Section 6.5)
The computations are done in C++ using the Finite Element library deal.II; the plots from the dissertation then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Before running the program, specify in the 'config.ini' for which figures the calculations should be performed. By default, the calculations for all plots are performed. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. After that, the plots can be generated with the Matlab Script 'plot_figures.m'. In this file it can also be selected which plots should be generated.
Numerical experiments to the dissertation "A unified error analysis for the numerical solution of nonlinear wave-type equations with application to kinetic boundary conditions"
Processed micro-tomographic scan of the ant Blepharidatta brasiliensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
(Technical Remarks) This data set contains experimental data of the publication "Tailings as a Source for Generating valuable Magnesium and Calcium Carbonates by Leaching and Carbonization" in ChemRxiv (DOI: 10.26434/chemrxiv-2025-cjxfm). The laboratory setup as well as the used materials for data generation are described in detail within the paper. The .csv-files provide the raw data for each diagram and in the origin file are all diagrams with the fit functions.
Mining produces a lot of disposable mineral waste after the ore has been removed. This waste with added CO$_2$ can be used as a feedstock for carbonate production. The advantage of this production process would be the recycling of a waste product with additional carbon capture. However, the processing challenge is a feed with a fluctuating composition of the mining waste, which makes classical engineering and control with fixed process parameters difficult. For characterization, model particles and tailings are studied for their behavior with fluctuating acid and mass concentrations as a function of leaching time. The results confirm the possibility of leaching calcium (max 7g L$^{-1}$) and magnesium (max 0.7 g L$^{-1}$) using hydrochloric acid. The amount varies depending on the particle, concentration and pH. Mathematically, the leaching over time can be described by an exponential expression, which is applied to both investigated cases for the leaching of calcium and magnesium ions. Finally, a pH shift process is used to precipitate solid CaCO$_3$ from the ion-enriched solution obtained, thus demonstrating the successful production of CaCO$_3$ and carbon capture from mine waste.
Experimental data of tailings as a source for generating valuable magnesium and calcium carbonates by leaching and carbonization
Processed micro-tomographic scan of the ant Strumigenys subedentata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0040, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0040 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Tabletop Microplotter - Sample Holder (Vertical Printing Example)
Processed micro-tomographic scan of the ant Apterostigma megacephala, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gesomyrmex howardi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius umbratus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
# Readme Auxiliary code for `DUNE-dipole-code.tar.xz`
Processed micro-tomographic scan of the ant Acanthoponera sp n, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stenamma debile, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea sexarticulata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmoteras sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Diacamma rugosum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated as representative abstracted real part geometries. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers embedded in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the solid the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Regarding the possible range of the diagonal components of the orientation tensors the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 10\,\%$ in the channel and $\pm 50\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites
Processed micro-tomographic scan of the ant Neivamyrmex aff pacificus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT), Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT)
Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT), Physikalisches Institut (PHI), Karlsruher Institut für Technologie (KIT), Universität Stuttgart (Uni Stuttgart)
Video files of EGaInSn printed structures, recorded with microscope viewing the sample mounted in a Lake Shore PS-100 Tabletop Cryogenic Probe Station during a temperature sweep from 300 K to 4 K and reverse.
Extended Data for Manuscript "Liquid metal printing for superconducting circuits"
Karlsruhe Institute of Technology, legal affairs unit
This document contains an agreement between Karlsruhe Institute of Technology (KIT) and a partner institution regarding the transfer of chemical compounds through the Compound Platform (ComPlat). ComPlat is a non-commercial facility at KIT that focuses on the synthesis, collection, and reuse of chemical compounds. The agreement allows KIT scientists and external researchers to use the materials for non-commercial research purposes, following safety and storage guidelines. It defines the transfer process, material usage, and publication of results. The agreement serves as a contractual framework to regulate collaboration between the PROVIDER and KIT through ComPlat. It includes as an attachment the template under which Partner Institutions may order Compounds at KIT ComPlat.
Agreement on the Transfer of Materials via the Compound Platform (ComPlat)
Processed micro-tomographic scan of the ant Pheidole valens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius spathepus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Theoretische Teilchenphysik
# Ancillary files of the PhD thesis ``Meson width differences and asymmetries'' by Marvin Gerlach This folder contains several ancillary files in Mathematica readable form. To load them just use "Get[fileName]" and all necessary information will be printed. The following files are available: * dB2MatrixElemens.m: One- and two-loop matrix elements of the Delta B=2 operators Q, Q_S and Q_S~ with a gluon mass as IR regulator. * Gamma12-Result.m: Final results for the matching coefficients H(z) and H_S~(z) of Gamma_{12} up to O(alpha_s^3) and to leading order in z * MassiveGluonMasterIntegrals.m: Analytic results of the master integrals which include a non-vanishing gluon mass. * R0-SupressionFactors.m: The one- and two-loop results for alpha_Q and alpha_{Q_S~} which recover the power supression of R_0 * ZdB2-Q-QS-QSt.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S and Q_S~ * ZdB2-Q-QS-R0.m: Renormalization matrix for the Delta B=2 operator basis up to two-loop order with the physical operators Q, Q_S~ and R_0
Ancillary files for "Meson width differences and asymmetries - Calculations of higher order contributions to neutral B-meson mixing"
# How to build 1. Clone the relic repository from https://github.com/relic-toolkit/relic into this directory 2. run `configure_relic.sh` 3. run `make release`
This is the proof-of-concept implementation used for the benchmarks presented in the PoPETs publication "Black-Box Wallets: Fast Anonymous Two-Way Payments for Constrained Devices"
Proof-of-Concept Implementation of "Black-Box Wallets: Fast Anonymous Two-Way Payments for Constrained Devices" used for benchmarks in the paper
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 2/3)
Data for "Helitronics as a potential building block for classical and unconventional computing"
Processed micro-tomographic scan of the ant Neivamyrmex cf iheringi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ectatomma tuberculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is the appendix of a paper accepted in EuroUSEC 2020. It will be added as online material through a link.
Analysis of publicly available anti-phishing webpages: contradicting information, lack of concrete advice and very narrow attack vector (Online Material)
Processed micro-tomographic scan of the ant Strumigenys nepalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Carebara oni, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lasius niger, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This package contains data (Inversion results and logfiles produced by the FWI software, config files for reproduction) and python scripts to create the figures shown in "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion" by Christian Rheinbay. Moreover, it contains instructions on how to reproduce the contained data.
Complementary Data for "All-At-Once and Reduced Solvers for Visco-Acoustic Full Waveform Inversion"
Processed micro-tomographic scan of the ant Plagiolepis pygmaea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ice crystal formation in mixed-phase clouds is initiated by specific aerosol particles, termed ice-nucleating particles (INPs). Only a tiny fraction of all aerosol particles are INPs, providing a challenge for contemporary INP measurement techniques. Models have shown that the presence of INPs in clouds can impact their radiative properties and induce precipitation formation. However, for a qualified implementation of INPs in models, measurement techniques able to accurately detect the temperature-dependent INP concentration are needed. Here we present measurements of INP concentrations in ambient air under conditions relevant to mixed-phase clouds from a total of ten INP methods over two weeks in October 2018 at the Puy de Dôme observatory in central France. A special focus in this intercomparison campaign was placed on having overlapping sampling periods. Although a variety of different measurement principles were used, the majority of the data show INP concentrations within a factor of 5 of one another, demonstrating the suitability of the instruments to derive model-relevant INP data. Lower values of comparability are likely due to instrument-specific features such as aerosol lamina spreading in continuous-flow diffusion chambers, demonstrating the need to account for such phenomena when interpreting INP concentration data from online instruments. Moreover, consistently higher INP concentrations were observed from aerosol filters collected on the rooftop at the Puy de Dôme station without the use of an aerosol inlet.
Ice-nucleating particle concentration measurements from two continuous flow diffusion chambers (CFDC; Colorado State University-Continuous Flow Diffusion Chamber, CSU-CFDC; Spectrometer for Ice Nuclei, SPIN) and an expansion chamber (Portable Ice Nucleation Experiment, PINE) and seven offline freezing techniques using water suspensions of filter-collected particles sampled (FRankfurt Ice Nuclei Deposition FreezinG Experiment, FRIDGE; Ice Nucleation Droplet Array, INDA; Ice Nucleation Spectrometer of the Karlsruhe Institute of Technology, INSEKT; Ice Spectrometer, IS; Leipzig Ice Nucleation Array, LINA; LED based Ice Nucleation Detection Apparatus LINDA; Micro-Orifice Uniform Deposit Impactor–Droplet Freezing Technique, UNAM-MOUDI-DFT).
The Puy de Dôme ICe Nucleation Intercomparison Campaign (PICNIC): Comparison between online and offline methods in ambient air
:title = "OCS 60deg longitude 10deg latitude mean profiles from MIPAS single retrievals"; :institution = "Karlsruhe Institute of Technology - Institute for Meteorology and Climate Research"; :organization = "KIT/IMK-ASF"; :global_target_name = "OCS"; :source = "Satellite MIPAS on Envisat"; :type_of_data = "MEASUREMENTS"; :experiment = "MIPAS"; :platform = "SATELLITE"; :name_of_platform = "ENVISAT"; :original ungridded retrievals = "https://www.imk-asf.kit.edu/english/308.php" :data_version = "V5H_OCS_20,V5R_OCS_221,V5R_OCS_222,V5R_OCS_120"; :author = "SAT-group at KIT/IMK-ASF"; :institute = "KIT/IMK-ASF"; :address = "P.O.B. 3640, 76021 Karlsruhe, Germany"; :email = "norbert.glatthor@kit.edu, michael.hoepfner@kit.edu"; :distribution_statement = "Please follow data policy instructions for the use of this data, to be found on the data distribution site."; :references = "Glatthor et al., 2015 (https://doi.org/10.1002/2015GL066293), Glatthor et al., 2017 (https://doi.org/10.5194/acp-17-2631-2017) "; :comment = "Gridded from data which was retrieved from single scan retrievals"; :file_creation_time = "Wed Oct 9 18:31:05 2019"; :file_modification_time = " "; :file_modification_description = "negative values have been skipped for averaging";
Combined gridded carbonyl sulfide (OCS) dataset from MIPAS
Die dieser Veröffentlichung zugrunde liegenden Arbeiten wurden im Auftrag des Bundesministers für Verkehr und digitale Infrastruktur unter FE-Nr. 70.952/2019 durchgeführt. Die Verantwortung für den Inhalt liegt ausschließlich beim Autor.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2010 - 2019
Processed micro-tomographic scan of the ant Phrynoponera gabonensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mystaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys OK01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Contains TopSpin raw data and high-resolution figures
Hyperpolarized pyruvate is a widely used marker to track metabolism in vivo and a benchmark molecule for hyperpolarization methods. Here, we show how a combination of improved bullet-DNP instrumentation, an optimized sample preparation and a further sensitivity increase via a 13C–1H polarization transfer after dissolution enable the observation of pyruvate at a concentration of 250 nM immediately after dissolution. At this concentration, the experiment employs a total mass of pyruvate of only 20 ng or 180 pmol. If the concentration is increased to 45 μM, pyruvate may be detected 1 min after dissolution with a signal-to-noise ratio exceeding 50. The procedure can be extended to observe a mixture of amino acids at low micromolar concentrations.
Bullet-DNP enables NMR Spectroscopy of Pyruvate and Amino Acids at Nanomolar to Low Micromolar Concentrations (Datasets)
Column names indicate parameter and resulting KPI values, row indizees indicate unique part number location combination
Aggregated and anonymized results on which graphics in associated dissertation base
Parameters and KPIs from the Real Data Use Case of Dissertation
Processed micro-tomographic scan of the ant Cephalotes spinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nomamyrmex esenbeckii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex rogenhoferi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The transition from traditional 2D cell culture models to physiologically relevant 3D models has revolutionized biomedical research. Hydrogels are frequently used to produce realistic 3D models with applications in tissue engineering, disease modeling and high-throughput screenings. However, integrating 3D cultures into high-throughput screening workflows presents challenges, including automation compatibility and cost constraints. Addressing these challenges requires innovative approaches that enable miniaturization, automation, and cost reduction while maintaining experimental fidelity. The Droplet Microarray (DMA) platform, based on hydrophilic-superhydrophobic surface patterning, facilitates the formation of homogeneous nanoliter-hydrogel arrays containing cells or spheroids. This method allows rapid dispensing of hundreds of nanoliter-hydrogel droplets with precise control over volume and cell density, reducing reagent consumption and offering high-throughput applications. The stable nanoliter-hydrogel array on a chip allows for experimental procedures like washing and medium immersion. We demonstrated that spheroid-containing droplets can be gelled at any point of the experiment, enabling the fixation of cell structures on the surface. Additionally, selective gelation of individual droplets enables spheroid sorting by stabilizing desired droplets and pooling the others. This method holds the potential for high-throughput and miniaturized workflows in 3D microenvironments, thereby advancing research in different fields such as cell, cell spheroid or organoid screenings, drug screenings and precision medicine.
This document provides an overview of the structure and content of the raw data files associated with the figures in this study. Data Organization The raw data is organized into folders corresponding to the figures in the manuscript. Each folder is named according to the figure number (e.g., Figure_1, Figure_2, etc.). Subsections within each figure are denoted by letters (e.g., 1A, 1B, 1C, etc.) and are stored as subfolders within the respective figure folder. Folder Structure ├── Figure_1/ │ ├── A/ │ ├── B/ │ └── C/ │ ├── Figure_2/ │ ├── A/ │ ├── B/ │ └── C/ │ └── ... (and so on for Figures 3-5) Data Format • Excel Files (.xlsx): Used for numerical values and experimental measurements. • Image Files (.tif, .png, .jpg): Raw or processed images for figures involving microscopy or visual data. Data Content Each dataset corresponds to the experimental results shown in the associated figure. The following details are included where applicable: • Experimental conditions (e.g., drug concentration, time point). • Replicates and repeats. Contact For questions or additional details about the raw data, please contact: Author Name: Maryam Salarian Email: Maryam.salarian@kit.edu Institution: Institute of Biological and Chemical Systems–Functional Molecular Systems (IBCS–FMS), Karlsruhe Institute of Technology (KIT), Germany
Nanoliter Hydrogel Array for Cell Screening and Cell Spheroid Sorting
Simulation Results for the Evaluation of Strategies for an Adaptive Grid Control System Using Smart Buildings (Updated)
This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. For an elaborate explanation of the contents please see README.md.
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
Processed micro-tomographic scan of the ant Camponotus vestitus strophiatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Plectroctena mandibularis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera allaborans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Colobopsis truncata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2002 - 2011
Processed micro-tomographic scan of the ant Myrmicocrypta uncinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium sericeiventre, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium simillimum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica lemani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide". DOI: 10.3390/nano11123219
Dataset to the publication 'Nanoantennas Inversely Designed to Couple Free Space and a Metal–Insulator–Metal Waveguide'
Processed micro-tomographic scan of the ant Crematogaster cf carinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Chronoxenus wroughtonii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex octospinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is a design for a metal heat exchanger that can be printed using a 3D metal printer.
3D printable heat exchanger for incorporation into a photoresponsive membrane gas permeation test cell
This data set contains particle size distributions of spherical and aspherical cloud particles between 7.9 and 107 microns with a 300-second time resolution calculated using the Particle Phase Discriminator Mark. 2 Karlsruhe Edition (PPD-2K). The PPD-2K detects individual cloud particles passing a 532 nm laser beam using two nested trigger detectors. The trigger signal is recorded with a maximum rate of 11 kHz that can be used to derive particle size distributions by using the procedure described in Vochezer et al. (2016), doi:10.5194/amt-9-159-2016. For a sub-set of triggered particles a two-dimensional (2-D) scattering pattern is recorded that can be analysed for particle sphericity, shape and complexity by a specifically developed image analysis software. More information on the analysis of particle complexity using the k-value can be found in Schnaiter et al., 2016, doi.org/10.5194/acp-16-5091-2016. From the numbers of observed spherical and aspherical 2-D scattering patterns the fractions of spherical and aspherical particles are derived. Multiplication of those number-based fractions with the total particle size distribution yields phase-specific particle size distribution. The uncertainty due to the fact that the imaged particles are a subset of all sampled particles can be estimated from the Clopper–Pearson confidence limits. The data was collected during the ALaskan Pollution And Chemical Analysis (ALPACA) field project, where PPD-2K was operated by the University of Alaska Fairbanks between January 28th and February 3rd, 2022. The measurement location was 64.83025°N and 147.66654°W. Funding statement: The PPD-2K instrument was provided by Karlsruhe Institute of Technology and funded by the German Helmholtz Association, through its research program “Atmosphere and Climate (ATMO)”. These data were collected by the University of Alaska, Fairbanks researchers as part of a project supported by the Broad Agency Announcement Program from the U.S. Army Cold Regions Research and Engineering Laboratory (ERDC-CRREL) under Contract No. W913E521C0017 from the U.S. Army Basic Research Program (Program Element 0603119A, Ground Advanced Technology).
This netCDF file contains PPD-2K measurements taken during the ALPACA field project. The variables in the file are: - Time: seconds after midnight - Dp: bin midpoint diameters in microns - dNdlogDp: Total particle size distribution normalised with bin width as a function of time and Dp in cm-3 - N: Total concentration as a function of time in cm-3 - N_column: Concentration of particles classified as column as a function of time in cm-3 (contains confidence intervals) - N_droplets: Concentration of particles classified as spherical as a function of time in cm-3 (contains confidence intervals) - N_ice: Concentration of particles classified as aspherical as a function of time in cm-3 (contains confidence intervals) - N_plate: Concentration of particles classified as plates as a function of time in cm-3 (contains confidence intervals) - N_rough_column: Concentration of particles classified as roughened columns as a function of time in cm-3 (contains confidence intervals) - N_rough_plate: Concentration of particles classified as roughened plates as a function of time in cm-3 (contains confidence intervals) - Column_fraction: Size segregated fraction of columns as a function of time and Dp - Plate_fraction: Size segregated fraction of plates as a function of time and Dp - Rough_column_fraction: Size segregated fraction of roughened columns as a function of time and Dp - Rough_plate_fraction: Size segregated fraction of roughened plates as a function of time and Dp - Kvalue: Median size segregated k-value as a function of time and Dp - Variance: Median size segregated variance as a function of time and Dp See more information on the data products from Vochezer et al. (2016), doi:10.5194/amt-9-159-2016, and Schnaiter et al., 2016, doi.org/10.5194/acp-16-5091-2016.
PPD-2K Ice Fog Particle Size and Shape Distributions from ALPACA
This dataset consists of raw and processed images obtained in droplet impingement experiments in a shadowgraphy method with additional color-coded glare points. The raw images are saved in the uncompressed file format .tif and processed images are saved as .png.
The present work introduces a deep learning approach for the three-dimensional reconstruction of the spatio-temporal dynamics of the gas-liquid interface on the basis of monocular images obtained via optical measurement techniques. The method is tested an evaluated at the example of liquid droplets impacting on structured solid substrates. The droplet dynamics are captured through high-speed imaging in an extended shadowgraphy setup with additional glare points from lateral light sources that encode further three-dimensional information of the gas-liquid interface in the images. A neural network is trained for the physically correct reconstruction of the droplet dynamics on a labelled dataset generated by synthetic image rendering on the basis of gas-liquid interface shapes obtained from direct numerical simulation. The employment of synthetic image rendering allows for the efficient generation of training data and circumvents the introduction of errors resulting from the inherent discrepancy of the droplet shapes between experiment and simulation. The accurate reconstruction of the three-dimensional shape of the gas-liquid interface during droplet impingement on the basis of images obtained in the experiment demonstrates the practicality of the presented approach. The introduction of glare points from lateral light sources in the experiments is shown to improve the reconstruction accuracy, which indicates that the neural network learns to leverage the additional three-dimensional information encoded in the images for a more accurate depth estimation. By the successful reconstruction of obscured areas in the input images, it is demonstrated that the neural network has the capability to learn a physically correct interpolation of missing data from the numerical simulation. Furthermore, the physically reasonable reconstruction of unknown gas-liquid interface shapes for drop impact regimes that were not contained in the training dataset indicates that the neural network learned a versatile model of the involved two-phase flow phenomena during droplet impingement.
Spatio-temporal reconstruction of droplet impingement dynamics by means of color-coded glare points and deep learning
In Silico Characterization of the Sinoatrial Node (v1.0)
Derived from IMK/IAA MIPAS/Envisat monthly mean trace gas fields using the ANCISTRUS direct inversion method (von Clarmann & Grabowski, 2016, 2021), this dataset provides effective meridional and vertical transport velocities and eddy diffusion coefficients in the middle atmosphere. Effective velocities include advection and mixing effects and are not equivalent to TEM residual circulation velocities. Uncertainties are represented as standard deviations derived from the variance estimates output by ANCISTRUS.
KIT ANCISTRUS MIPAS L3 effective transport velocities dataset, v1.0
Institut für QuantenMaterialien und Technologien
Contains the diffuse scattering and inelastic x-ray scattering data presented in PRL 129, 247602 (2022)
Soft-Phonon and Charge-Density-Wave Formation in Nematic BaNi2As2
# GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks This dataset contains scientific texts with rich linguistic or structural annotations for research purposes. It is designed to support tasks such as natural language processing, information extraction, and corpus linguistics. ## Contents The dataset consists of two main components: 1. **Text Content** Excerpts or full text passages from scientific publications. These were included with explicit permission from the respective authors or rights holders. The following table lists the included files and the corresponding source information: | File Name | Title | Authors | Link | |-----------|-------|---------|------| | `10200-Klimaleitplanken_2.0` | * Klimazukunft Baden-Württemberg - Was uns ohne effektiven Klimaschutz erwartet! * | Dr. Kai Höpker, Dr. Sabrina Plegnière (LUBW) | [Link]( https://pd.lubw.de/10200) | | `10506-Landesweite_Brutbestandserfassung_2022_im_Auftrag_der_LUBW_-_Landesanstalt_für_Umwelt_Baden-Württemb.tml` | * Der Kormoran (Phalacrocorax carbo) in Baden-Württemberg 2022 * | Ornithologische Gesellschaft Baden-Württemberg | [Link]( https://pd.lubw.de/10506) | | `10274-Sondermessungen_2020_Abschlussbericht.tml` | * Verkehrsnahe Sondermessungen 2020 in Baden-Württemberg * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10274) | | `10199-Immissionsbelastung_für_Baden-Württemberg_2016_-_2025.tml` | * Flächendeckende Ermittlung der Immissionsbelastung für Baden-Württemberg 2016 und Prognose für 2025 * | LUBW Refarat 33 | [Link]( https://pd.lubw.de/10199) | | `Grundwasser-Überwachungsprogramm - 2022.tml` | * Grundwasser-Überwachungsprogramm 2022 * | LUBW Referat 42 | [Link]( https://pd.lubw.de/10597) | | `10582-Zahlen_und_Fakten_zum_Stand_der_Altlastenbearbeitung_in_Baden-Württemberg.tml` | * Altlastenstatistik 2022 * | Jochen Stark, Alicia Graf | [Link]( https://pd.lubw.de/10582) | | `82479-Untersuchungen_unter_Verwendung_des_Programms_ARTM_(Atmosphärisches_Radionuklid-Transport-Modell).tml` | * ABR-ARTM - Untersuchung zur Langzeitausbreitung von radioaktiven Schadstoffen an den Standorten von Atomkraftwerken in Baden-Württemberg * | Walter Scheuermann, Andreas Piater, Christoph Krass, Herbert Pohl | [Link]( https://pd.lubw.de/82479) | | `95109-Leitfaden` | *Überwachung von industriellen Abwasseranlagen und -einleitungen* | LUBW | [Link]( https://pd.lubw.de/95109 ) | | `Anlage 4 der V813-2023_Abschlussbereicht.tml` | * V813/2023 ANLAGE 4: ABSCHLUSSBERICHT * | Stadt Mannheim, MVV Regioplan | [Link](https://www.mannheim.de/sites/default/files/2024-03/Anlage%204%20der%20V813-2023_Abschlussbereicht.pdf) | | `Kommunale_Waermeplanung_Beschlussvorlage.tml` | *Kommunale Wärmeplanung für München * | Referat für Klima- und Umweltschutz und Referat für Arbeit und Wirtschaft | [Link]( Beschluss der Vollversammlung des Münchner Stadtrats vom 15.5.2024, München) | | `01_2024_uib_energieeffiziente_mobilitaet.tml` | * Beschäftigung durch energieeffiziente Mobilität - Methodik der Ermittlung und Ergebnisse für das Jahr 2019 * | Luisa Sievers, Anna Grimm | [Link]( https://www.umweltbundesamt.de/sites/default/files/medien/11850/publikationen/01_2024_uib_energieeffiziente_mobilitaet.pdf) | | `333_LF_Urbansky.tml` | * Untersuchung der Verteilnetzbelastung bei Proaktivem Energy-Sharing nach Österreichischem Vorbild * | Julian Urbansky, Lennart Schürmann | [Link]( https://www.researchgate.net/publication/380376111_Untersuchung_der_Verteilnetzbelastung_bei_Proaktivem_Energy-Sharing_nach_Osterreichischem_Vorbild ) | | `Innovative_Technologien_Gebäudebereich_EWB.tml` | *Innovative Technologien im Gebäudebereich der Forschungsinitiative ENERGIEWENDEBAUEN* | Jessica Preuss, Heike Erhorn-Kluttig | [Link](https://publica.fraunhofer.de/entities/publication/cbca8246-0337-4700-90d1-8ce7fb1259c2) | | `05_2024_cc_dekarblnd_tb1.tml` | *Dekarbonisierung der industriellen Produktion (DekarbInd) AP 1: Ganzheitliches Bewertungsschema für Technologien* | Peter Viebahn, Dietmar Schüwer, Georg Holtz, Andreas Pastowski, Jacqueline Klingen, Sören Steger, Ali Aydemir | [Link](https://www.umweltbundesamt.de/publikationen/dekarbonisierung-der-industriellen-produktion) | | `1436-4980-2024-01-02-11.tml` | *Effizienzsteigerung durch Energiemanagementsysteme* | Laura Jung, Kerim Torolsan, Artur Gergert, Felix Förster, Alexander Sauer | [Link](https://publica.fraunhofer.de/entities/publication/93f2de91-6881-4ab2-bae6-6e1a9246f8af) | | `Wärmeplanung_Augsburg_Infoblatt_Jan2024` | *Hinweise zur Wärmeplanung und zum Fernwärmeausbau im Stadtgebiet Augsburg (Stand Januar 2024)* | Stadt Augsburg, Umweltamt | [Link](https://www.augsburg.de/fileadmin/user_upload/umwelt_soziales/umwelt/klima%20und%20energie/W%C3%A4rmeplanung_Augsburg_Infoblatt_Jan2024.pdf) | | `2024-04-05_Endbericht_kommunale_Wärmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-Württemberg.tml` | *Kommunale Wärmeplanung der Stadt Pforzheim* | Stadt Pforzheim, Amt für Umweltschutz | [Link](https://www.klimaschutz-pforzheim.de/fileadmin/user_upload/umwelt/klimaschutz/waermeplanung/2024-04-05_Endbericht_kommunale_W%C3%A4rmeplanung_Stadt_Pforzheim_nach__7_Klimaschutzgesetz_Baden-W%C3%BCrttemberg.pdf) | | `Bericht_zur_kommunalen_Waermeplanung.tml` | *Kommunale Wärmeplanung Für die Stadt Offenburg* | Stadt Offenburg | [Link](https://www.offenburg-klimaschutz.de/fileadmin/redakteur/Waermeplanung/Bericht_kommunale_Waermeplanung.pdf) | | `10598-Archewiesen_-_Saatgutgewinnung.tml` | *„Archewiesen“ Ein Projekt zur Erhaltung des artenreichen Grünlands in Baden-Württemberg* | LUBW Referat 56 | [Link](https://pd.lubw.de/10598) | | `Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!_2022.tml` | *Auf zu neuen Wegen – gemeinschaftlich und nachhaltig wirtschaften!* | Binta Bah, Gerd Oelsner | [Link](https://pd.lubw.de/10442) | ⚠️ **The individuals and institutions listed here are the copyright holders of the corresponding documents.** The text content is used with their permission and **may only be used for non-commercial, scientific purposes**. 2. **Annotations** Metadata, structural, or linguistic annotations created manually or semi-automatically, intended to support various forms of scientific analysis. ## License ### Annotations All annotations and the dataset structure are licensed under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**. You are free to use, modify, and redistribute the annotations — including for commercial purposes — provided that appropriate credit is given.🔗 [CC BY 4.0 Summary](https://creativecommons.org/licenses/by/4.0/) ### Text Content The original text content is **copyrighted** and included **with permission** from the respective authors or publishers. It is made available **exclusively for non-commercial, scientific use**. - ✅ Permitted: Academic research, teaching, citation in scientific publications. - ❌ Not permitted: Commercial use, redistribution of raw text content outside of research settings, or adaptation beyond scholarly work. For more details, refer to the `LICENSE.txt` file. ## Author and Contact Information: - Institution: Karlsruhe Institute of Technology (KIT), Institute for Automation and Applied Informatics (IAI) - Main Author: Nicolas Doms, ndoms716@gmail.com - Authors: Toni Golian, Ruidie Hu - Principle Investigator: Thorsten Schlachter, thorsten.schlachter@kit.edu ## Version and Date of Publication - Version: 1.0 - Date: 2025-04-08 ## Disclaimer This dataset is provided "as is" without warranty. The authors are not responsible for any misuse of the content. Users must ensure compliance with the licensing terms when distributing or using the dataset. ## TagCombiner.py Text content and annotations are delivered separately in this dataset to ensure a clear separation with regard to the license. This dataset includes a Python file named TagCombiner.py. This simple code merges the tags from the "Tags" directory into the raw text data in the "Raw" directory. The resulting files have the annotations in-line and can be used for the evaluation of machine learning models.
GREED - GeRman Energy and Environment Document Corpus for Geoparsing and Time Expression Normalization Tasks
Die Details zu den Daten können dem OA Paper "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" im Journal Magnetic Resonance (https://doi.org/10.5194/mr-2024-22) entnommen werden.
Rohdaten zur Publikation "Automated manufacturing process for sustainable prototyping of nuclear magnetic resonance transceivers" (10.5194/mr-2024-22)
PPD-2K Size Distribution from 11-21-2023 094440 UTC until 01-07-2024 222452 UTC. PPD flow: 5 lpm Calibration coefficients: a = 2.02, b = 0.522 and c = 0 Note: Empty images and triggers that are triggered on noise are removed. File 'DOME_C_final_level2': Concentration measurements (optical particle counter) Data produced with 10 s averaging 1st Column: datetime in UTC 2nd Column: Ntot, Total concentration in 1/ccm 3rd Column: dNtot, Uncertainty in total concentration in 1/ccm 4th Column: Droplet_fraction 5th Column: Droplet_fraction upper Clopper-Pearson confidence interval 6th Column: Droplet_fraction lower Clopper-Pearson confidence interval 7th Column onwards: dN/dlogDp for spherical equivalent diameter size bins in 1st row last Column: lidar classification (d: diamond dust, i: ice fog, m: mixed fog, l: liquid cloud precipitation) File 'DOME_C_images_final_level2.csv': Diffraction pattern image analysis Columns: Date,UTC time,Seconds of day,Image name,Folder name,Mean intensity,Saturation ratio,Sphere,Fit,Sphere diameter,FFT_0,FFT_1,FFT_2,FFT_3,FFT_4,FFT_5,FFT_6,FFT_7,FFT_8,k-value,Entropy,Contrast,Homogeneity,Correlation,Energy,combined roughness,Shape,Optical diameter,ICCD gain,Trigger gain,Trigger threshold,Trigger intensity,TOF,Norm Variance,Sum Sq Res Mie,CNN_shape The CNN shapes correspond to: 0: Irregular 1: Large (or nearly saturated) 2: Pristine 3: Rough 4: Small Rough 5: Small (often triggered on noise) 6: Spherical 7: Sublimating The shapes correspond to the maximum Fourier coefficient.
In-situ measurements of small atmospheric ice crystals (< 100 µm) on the Antarctic plateau are rare. Yet, small ice crystals are abundant in a region that often reaches cirrus temperatures even in the warmest season. The Particle Phase Discriminator (PPD-2K) was deployed on DOME-C, Antarctica during austral summer 2023/2024. It was used to characterize the microphysical and optical properties of individual ice fog and diamond dust ice crystals having spherical equivalent diameters between 11 and 150 µm. These properties included particle concentration, size distribution and spatial light scattering patterns in the forward direction that allow the analysis of the particle sphericity (particle phase), shape and crystal complexity.
Dataset: PPD-2K Particle shape and particle size distribution from DOME-C, Antarctica
Suppressing of an ordered state that competes with superconductivity is one route to enhance superconducting transition temperatures. Whereas the effect of suppressing magnetic states is still not fully understood, materials featuring charge-density waves and superconductivity offer a clearer scenario as both states can be associated with electron-phonon coupling. Metallic transition-metal dichalcogenides are prime examples for such intertwined electron-phonon-driven phases, yet, various compounds do not show the expected interrelation or feature additional mechanisms which make an unambiguous interpretation difficult. Here, we report high-pressure X-ray diffraction and inelastic X-ray scattering measurements of the prototypical transition-metal dichalcogenide 2H-TaSe2 and determine the evolution of the charge-density-wave state and its lattice dynamics up to and beyond its suppression at the critical pressure pc = 19.9(1) GPa and at low temperatures. The high quality of our data allows the full refinement of the commensurate CDW superstructure at low pressure and we find the quantum critical point of the CDW to be in close vicinity to the reported maximum superconducting transition temperature Tsc = 8.2 K. Ab-initio calculations corroborate that 2H-TaSe2 is a reference example of order-suppressed enhanced superconductivity and can serve as a textbook case to investigate superconductivity near a charge-density-wave quantum critical point.
Raw data from the x-ray diffraction experiment performed at the beamline ID15b at the European Synchrotron Radiation Facility (ESRF), France (DOI: 10.15151/ESRF-ES-902987807); selected cif files; data used to create Figures in publication; table with structural parameters for refinements
CDW quantum critical point under pressure in 2$H$-TaSe$_2$
data taken in an investigation of SrTiO3 using inelastic x-ray scattering
The continuous displacive phase transition in SrTiO$_3$ near $𝑇_c\approx105\,\rm{K}$ features a central elastic peak in neutron scattering investigations at temperatures above $𝑇_c$, i.e., before the corresponding soft phonon mode is overdamped upon cooling. The origin of this central peak is still not understood. Here, we report an inelastic x-ray scattering investigation of the cubic-to-tetragonal phase transition in SrTiO$_3$. We compare quantitatively measurements of the soft phonon mode on two differently grown samples and discuss the findings regarding results from thermodynamic probes such as specific heat and thermal conductivity. Furthermore, we use inelastic x-ray scattering to perform elastic scans with both high momentum- and milli-electronvolt energy-resolution and, thus, be able to separate elastic intensities of the central peak from low-energy quasielastic phonon scattering. Our results indicate that the evolution of the soft mode is similar in both samples though the intensities of the central peak differ by a factor of four. Measurements revealing anisotropic correlation lengths on cooling towards $T_c$, indicate that local properties of the crystals to which collective lattice excitations are insensitive are likely at the origin of the central elastic line in SrTiO$_3$.
Soft phonon and the central peak at the cubic-to-tetragonal phase transition in SrTiO$_3$
Measurement data for 'Cloud Chamber Studies on the Linear Depolarisation Ratio of Small Cirrus Ice Crystals' Contains data collect at the AIDA cloud chamber facility during measurement campaigns HALO06, RICE01, RICE02, RICE03 between January 2011 and December 2014: -SID3 Image Analysis: Fourier analysis of SID3 images with folder names: 'Campaign'_'Experiment number' -SIMONE Depolarisation and PPD Size Analysis with file names: depoldia_'Campaign'_'Experiment number'_SIMONE.txt -SIMONE Depolarisation and PPD Complexity with file names: depolkvalue_'Campaign'_'Experiment number'_SIMONE.txt -SIMONE Depolarisation and FTIR Size Analysis with file names: depoldia_'Campaign'_'Experiment number'_SIMONE.txt Notes: -Diameter is spherical equivalent diameter: Diameter of a sphere scattering the same light intensity as the detected ice particle -TDL RH_ice in % is relative humidity with respect to ice measured with a tunabel diode laser hygrometer -AIDA time is time after start of cloud chamber expansion
Linear Depolarisation Ratio of Cloud Chamber Grown Cirrus
Research data corresponding to the publication "Search for alternative two-step-absorption photoinitiators for 3D laser nanoprinting".
Search for alternative two-step-absorption photoinitiators for 3D laser nanoprinting
Processed micro-tomographic scan of the ant Temnothorax curvispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vitsika brevis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
1. Regression coefficients of a parametrisation of the natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO2, CH3CL, HNO3, N2O5, CCl4, CFC11, CFC113, CFC12, CH4, ClO, ClONO2, CO, CO2, H2O, HBr, HCl, HF, HNO4, HO2, HOBr, HOCl, N2O, NO, NO2, NO3, O3, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project. 2. Software for reparametrisation of natural atmospheric variability on latitudinal gradients. The software takes as input the species name (among 30 available), the distance and time mismatch chosen, the latitude band, the value of latitudinal gradients of user's data and the height. As an output the user obtains a value of the natural variability of the gas at altitude and latitude band given, for the chosen distance/time mismatch.
Regression coefficients archive: The name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given from 90S to 90N in 18 latitude bands of 10 degree width, and for 46 altitudes from 15 to 60 km. Reparametrisation software archive: This is an IDL source code, and auxiliary data are in idlsave format. If a validation study is perfomed in latitude domain larger than 10 degrees, the values in correspoding 10-degree bands should be added quadratically.
Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software
Processed micro-tomographic scan of the ant Nylanderia natalensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mycetophylax asper, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole scolioceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This experiment offers the possibility to simulate the extended sinoatrial node cell models of Severi et al. (2012) and Fabbri et al. (2017) with several [Ca2+]o and [ISO]. The extension of the AC-cAMP-PKA signalling cascade is based on the work of Behar et al. (2016) and described by Linder et al. (2025).
Sympathetic Stimulation Can Compensate for Hypocalcaemia-Induced Bradycardia in Human and Rabbit Sinoatrial Node Cells (v2.0)
Processed micro-tomographic scan of the ant Technomyrmex andrei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster suehiro, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera merita, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus decollatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma fulvidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris acholli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der vorliegende Bericht bezieht sich auf die im Oktober 2019 an der KIT-Fakultät für Maschinenbau des Karlsruher Instituts für Technologie eingereichte und im Dezember 2020 angenommene Dissertationsschrift »Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen« von Martin Ungerer. Der Bericht umfasst zusätzliche Daten zur Dissertationsschrift und beinhaltet ergänzende Erläuterungen zu Methoden, Prozessen, Materialien, Systemen und Ergebnissen.
Methoden, Materialien und Ergebnisse der Entwicklung funktionaler Druckprozesse. Zusätzliche Daten zur Dissertation "Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen"
Diese Datei im dwg-Format enthält 3D-Modelle für drei zentrale Bestandteile des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD": 1) Das Probengestell für 160 Septum-versiegelte Labco Exetainer Glasfläschchen, 2) die Halterung für die Doppelkanüle und 3) das Verbindungselement zwischen dem Servo für die Bewegungen in Z-Richtung und dem Schlitten für Bewegungen in Y-Richtung.
Processed micro-tomographic scan of the ant Camponotus lateralis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus vitiosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The data are in netCDF format. All data has been postprocessed and only contains the mean values over a smaller region ~15km surrounding the ship. Files follow the format <GRID>_<DATE>_<comment>.nc Please see Table 1 in the paper for the description of the simulations performed. Each 2-moment run has accumulated process rates associated with the simulation named <GRID>_<DATE>_<comment>_process_rates.nc.
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988 Content: Simulations September 01 - September 02 2020; GRID R3B8; 6km grid spacing, run with 1moment microphysics initialised at 00UTC on the 01-09-2020 using ICON Global 13km -R3B8_0109_0309.nc GRID: R3B10; 2-moment 1.6km grid spacing initialised at 04UTC - Reference run; R3B10_0109_0209_orig.nc : with Hande et al (2015,2016) CCN and INP parameterisations Sensitivity Studies: - R3B10_0109_0209_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0109_0209_pr1L.nc : for prescribed 1 per L GRID: R3B12; 2-moment 400m grid spacing - R3B12_0109_0209.nc : initialised at 06UTC and nudged by the output from R3B10_0109_0209_pr1L.nc with prescribed 1 per L GRID R3B14; 2-moment 100m grid spacing - R3B14_0109_0209.nc : initialised at 08UTC and nudged by R3B12_0109_0209.nc with prescribed 1 per L Simulations September 03 - September 04 2020; GRID R3B8; run with 1moment microphysics initialised at 00UTC on 03-09-2020 - R3B8_0309_0409.nc GRID R3B10;2-moment 1.6km grid spacing initialised at 04UTC - Reference run: R3B10_0309_0409_orig.nc Primary Ice Sensitivity Studies: - R3B10_0309_0409_INP.nc : implemented INP polynomial at warm temperatures in immersion freezing and scaled down immersion, rain freeze and depositional freezing at cold temperatures - R3B10_0309_0409_INPx1E4.nc : same as above but scaled by 10000 - R3B10_0309_0409_INPx1E6.nc : same as above but scaled by 1E6 - R3B10_0309_0409_pr1L.nc : prescribed 1 per L at warm temperatures Cloud Droplet Sensitivity: - R3B10_0309_0409_pr1L_CCN.nc : prescribed ice at warm temperatures plus a CCN scaling Secondary Ice Sensitivity: - R3B10_0309_0409_orig_SIP.nc : original primary ice nucleation with SIP implementation with droplet shattering and break-up collision added on top of the reference rime-splintering. Collisional break-up is parameterised by Takahashi - R3B10_0309_0409_INP_SIP.nc : new immersion freezing parameterisation with SIP as above - R3B10_0309_0409_INP_SIP_BR_scaled.nc : new immersion freezing parameterisation and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_INP_CCN_SIP_BR_scaled.nc : new immersion freezing parameterisation with scaled down CCN concentration and SIP with a scaled down breakup (SIP) parameterisation - R3B10_0309_0409_pr1L_SIP.nc GRID R3B12; 2-moment 400m grid spacing - R3B12_0309_0409.nc : initialised 06UTC and nudged by simulation with prescribed 1 per L (R3B10_0309_0409_pr1L) GRID R3B14; 2-moment 100m grid spacing - R3B14_0309_0409.nc: initialised at 08UTC and nudged by R3B12_0309_0409 with prescribed 1 per L
This archive contains research data presented in the manuscript "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes" with DOI: 10.5194/egusphere-2024-2988. In this study, the microphysical sensitivity of Arctic mixed-phase multilayer clouds are examined via two case studies observed during the MOSAiC campaign in September 2020. Sensitivity simulations on cloud droplet activation, primary ice, and secondary ice processes were performed. The ICON model is used to model these clouds and observational data from the MOSAiC campaign is used to constrain and evaluate the model.
Research data for "Sensitivities of Simulated Mixed-phase Arctic Multilayer Clouds to Primary and Secondary Ice Processes"
Processed micro-tomographic scan of the ant Paratrechina zanjensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Rogeria cf blanda, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex clavifemur, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex pilosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0002, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0002 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Das Deutsche Zentrum für Luft- und Raumfahrt (DLR)
### **DATA SET DESCRIPTION** ### **1. Spatial coverage** Measurements were collected during the CROSSINN field campaign in the Inn Valley, Austria. The focus of the campaign was located at a mild valley curvature approximately 20 km northeast of Innsbruck. This data set contains aircraft measurements conducted during five IOPs. ### **2. Temporal coverage** *IOP1* - 05.08.2019 *IOP2b* - 09.08.2019 *IOP4* - 14.08.2019 *IOP6* - 22.08.2019 *IOP7b* - 27.08.2019 ### **3. Instrument details and data file structure** Available here is a single file, FDLR.zip, containing the following folder structure: ***10 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 10 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***100 Hz*** folder contains quality-controlled (following Mallaun et al, 2015) raw measurements (temporal resolution 100 Hz) collected with the METPOD meteorological sensor package mounted on the Cessna Grand Caravan 208B of the German Aerospace Center (DLR). ***overview*** folder contains .kml, .kmz, and .pdf overviews of all ten flights, performed during five selected CROSSINN Intensive Observation Periods (IOP). Additionally, the file 'extracted_straight_leg_segments.txt' contains starting and ending indices of the straight leg segments, obtained for the 10 Hz data set by Nevio Babić. The image 'google_earth_flightpattern_sites.jpg' contains a sample of a combined set of along-valley and cross-valley legs. ### **4. Locations** The along-valley and cross-valley legs were flown in the vicinity of the CROSSINN investigation area, centered at the Kolsass headquarter site. Kolsass - 47.305290°N / 11.622231°E ### **5. Contact** Contact nevio.babic@kit.edu for any questions regarding the data sets. ### **6. References** Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1 Mallaun C., A. Giez, and R. Baumann. "Calibration of 3-D wind measurements on a single-engine research aircraft." Atmospheric Measurement Techniques 8.8 (2015): 3177-3196.
The data sets found here were collected with the Cessna Grand Caravan aircraft (German Aerospace Center, DLR) in the Inn Valley, Austria, from 1 Aug 2019 to 13 Oct 2019, within the CROSSINN field campaign (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements). The goal of the campaign was to study the multi-scale three-dimensional flow structure and the impact of the flow on the mountain atmospheric boundary layer (MoBL) structure and evolution across the Inn Valley. Further details of the campaign can be found in Adler et al (2020). Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
Die hier zu findenden Datensätze wurden mit dem Cessna Grand Caravan Flugzeug (Das Deutsche Zentrum für Luft- und Raumfahrt, DLR) im Inntal, Österreich, vom 1.8.2019 bis 13.10.2019, im Rahmen der CROSSINN-Feldkampagne (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) erhoben. Das Ziel der Kampagne war es, die multiskalige dreidimensionale Strömungsstruktur und den Einfluss der Strömung auf die Struktur und Entwicklung der atmosphärischen Grenzschicht (MoBL) über dem Inntal zu untersuchen. Weitere Details der Kampagne sind in Adler et al. (2020) zu finden. Adler B., A. Gohm, N. Kalthoff, N. Babić, U. Corsmeier, M. Lehner, M. W. Rotach, M. Haid, P. Markmann, E. Gast, G. Tsaknakis, and G. Georgoussis. " CROSSINN - a field experiment to study the three-dimensional flow structure in the Inn Valley, Austria", Bulletin of the American Meteorological Society (2020): 1-55, accessed Dec 11, 2020, https://doi.org/10.1175/BAMS-D-19-0283.1
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - Aircraft data set [FDLR]
Processed micro-tomographic scan of the ant Acromyrmex coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Crematogaster pinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT), Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)
This file contains beamtime data regarding an experiment, where Pt migrated under oxidizing conditions from Pt/Al2O3 to spatially separated CeO2. Furthermore, DFT structures for fitting the recorded EXAFS of the Pt which migrated onto the CeO2 are provided. Finally, there are several light-offs from mixed Pt/Al2O3 + CeO2 powder which was subjected to the migration progress and afterwards tested in regard to its activity as well as TEM and EDX data.
This data is related to the publication 'In-situ Tracking of Pt Migration from Pt/Al2O3 to CeO2 on the Atomic and Reactor Scale'. There are 5 folders. 1) Mixed powders - catalytic testing: The temperature dependent gas conversions of the mixed Pt/Al2O3 + CeO2 powder which was subject to Pt migration. Related to section 'Pt migration on the molecular and grain size level from Pt/Al2O3 to adjacent CeO2' within the publication. 2.1) Migration between spatially separated beds - beamtime data: Beamtime data, together with gas concentrations and temperature data. Related to section 'Pt migration on the millimetre scale from Pt/Al2O3 to CeO2' within the publication. 2.2) DFT structures for EXAFS evaluation: DFT models for evaluating the EXAFS from folder 2.1. Related to section 'CeO2 sites for trapping gaseous PtO2' within the publication. 3) EDX Map: The Map4_overview image shows the superimposed elemental maps for Pt, Ce and Al on the HAADF image, with indicated magnification, high voltage and scale bar. The Pt-Migration_800C_4.bcf file contains the raw EDX hypermap data recorded as an bcf-file with the software Esprit from the company Bruker. Related to section 'Pt migration on the molecular and grain size level from Pt/Al2O3 to adjacent CeO2' within the publication. 4) TEM images '14.48.06 Scanning Acquire_0_400C_calcined.tiff' shows STEM-HAADF raw image of the 400°C specimen, metadata is contained in the tiff file. '18.06.24 Scanning Acquire_0_800C_calcined.tiff' shows STEM-HAADF raw image of the 800°C specimen, metadata is contained in the tiff file. Related to the supporting information (SI). ' within the publication)
In-situ Tracking of Pt Migration from Pt/Al2O3 to CeO2 on the Atomic and Reactor Scale - Raw data
Instructions: The scripts inside the subfolder are intended to reproduce the figures from the preprint Dynamical low-rank integrators for second-order matrix differential equations by Marlis Hochbruck, Markus Neher, and Stefan Schrammer Requirements The codes are tested with Ubuntu 20.04.2 LTS and Python 3.8.5 and the following version of its modules: numpy 1.19.2 scipy 1.5.2 numba 0.51.2 colorama 0.4.4 h5py 2.10.0 matplotlib 3.3.2 tikzplotlib 0.9.6 Generation of figures (tikz files containing the data are also created) In the folder homwave open a console and run the commands to create the data for Figure (1) python3 hom_planar.py to create Figure (1) python3 hom_planar_plots.py In the folder homwav open a console and run the commands to create the data for Figure (2) python3 hom_semi.py to create Figure (2) python3 hom_semi_plots.py
semilinear second-order matrix differential equations
second-order matrix differential equations
Numerical experiments for "Dynamical low-rank integrators for second-order matrix differential equations"
Dieser Anhang gibt einen Überblick über Kompetenzen für Nachhaltigkeit (Key Competencies in Sustainability Transformation) und deren Definitionen. Darüber hinaus werden die einzelnen Kompetenzen für den Kontext der Nachhaltigkeit-Selbstexperimente (Sustainability Self-Experiments, SSE) operationalisiert. SSE stellen ein transformatives Lehrformat dar, das am Karlsruher Transformationszentrum (KAT) des Karlsruher Instituts für Technologie (KIT) entwickelt wurde. Diese Kompetenzen bilden die analytische Grundlage der qualitativen Inhaltsanalyse, mit der im Beitrag „Assessing Competency Development in Transformative Teaching – A Real-World Lab Case Study on Sustainability Self-Experiments“ die Kompetenzentwicklung von Studierenden untersucht wird.
Descriptions of Key competencies for sustainability transformations (KSC), which served as the analytical basis for the qualitative content analysis conducted in the paper 'Assessing Competency Development in Transformative Teaching: A Real-World Lab Case Study on Sustainability Self-Experiments' to. For each competency, a definition is first provided from the literature, and then the competency is contextualised for practical application in the analysis of student journals (operationalisation). Two visualisations are also provided to facilitate comprehension. Illustrative examples and empirical quotations are provided in the related Supplement 2, “Sustainability Self-Experiments”. Related publication: Trenks & Beecroft (2026). Assessing competency development in transformative teaching – A real-world lab case study on Sustainability Self-Experiments. International Journal of Sustainability in Higher Education.
This appendix provides an overview of the key competencies in sustainability transformation, along with their definitions. Additionally, the individual competencies are operationalised for the context of Sustainability Self-Experiments (SSE). SSEs are a transformative teaching format developed at the Karlsruhe Transformation Centre (KAT) of the Karlsruhe Institute of Technology (KIT). The competencies form the analytical basis of the qualitative content analysis employed in the article 'Assessing Competency Development in Transformative Teaching: A Real-World Lab Case Study on Sustainability Self-Experiments' to analyse student competency development.
key competencies for sustainability transformation
Key competencies for sustainability transformations
Supplementary Material - Applying Key Competencies in Sustainability Self-Experiments
Definition and exemplary application of a Sustainability Self-Experiment. This appendix provides an overview of the data and in-depth results from the qualitative content analysis that examines which key competencies for sustainability transformations were fostered through Sustainability Self-Experiments conducted by students in the real-world laboratory “District Future – Urban Lab” between 2018 and 2022. Related publication: Trenks & Beecroft (2026). Assessing competency development in transformative teaching – A real-world lab case study on Sustainability Self-Experiments. International Journal of Sustainability in Higher Education.
This appendix presents the definition, structure, and an exemplary application of Sustainability Self-Experiments (SSE), a transformative teaching format developed at the Karlsruher Transformation Center (KAT) at the Karlsruhe Institute of Technology (KIT) and implemented in the real-world laboratory “District Future – Urban Lab”. It further provides detailed insights into the findings of the qualitative content analysis, which examined the Sustainability Competencies acquired by students through these self-experiments. It therefore provides in-depth insights into the analysis underlying the paper “Assessing competency development in transformative teaching – A real-world lab case study on Sustainability Self-Experiments”.
Dieser Anhang stellt die Definition, die Struktur sowie eine exemplarische Anwendung von Nachhaltigkeits-Selbstexperimenten (Sustainability Self-Experiments, SSE) vor, einem transformativen Lehrformat, das am Karlsruher Transformationszentrum (KAT) des Karlsruher Instituts für Technologie (KIT) entwickelt und im Reallabor „Quartier Zukunft – Labor Stadt“ umgesetzt wurde. Darüber hinaus bietet der Anhang vertiefende Einblicke in die Ergebnisse der qualitativen Inhaltsanalyse, in der die durch diese Selbstexperimente erworbenen Nachhaltigkeitskompetenzen bei Studierenden untersucht wurden. Damit bietet er vertiefende Einblicke in die Analyse, die dem Paper “Assessing competency development in transformative teaching – A real-world lab case study on Sustainability Self-Experiments”, zugrunde liegt.
Supplementary Material - Sustainability Self-Experiments
Institut für Angewandte und Numerische Mathematik, Sonderforschungsbereich 1173
The computations are done with Python3. ##### Requirements The code is tested on Ubuntu 20.04.4 LTS with Python 3.8.10 and the following versions of its modules numpy - 1.17.4 scipy - 1.3.3 h5py - 2.10.0 dolfin (fenics) - 2019.2.0.dev0 (including mshr) matplotlib - 3.1.2 tikzplotlib - 0.9.6 (only for generating tikz/pgfplots files) ##### Generation of figures Figures **4.6, 4.7, 4.8, 4.9, 4.10, 5.3, 5.4, 5.5, 5.7 (including 5.6)**, and **5.8** can be generated with this code. In order to obtain Figure X.Y either - execute the Python script **script_Figure-XpY.py** in a suitable integrated development environment or - run the command **python3 script_Figure-XpY.py** in a terminal session. The scripts for Figures 4.6, 4.8, 4.10, and 5.5 only produce half of the figures. To get the other half, open the script and set the Boolean variable at the beginning of the script from `True` to `False` (case sensitive). - Figure 4.6: Boolean variable `LFC_unstab` + `True` : Figures 4.6 (a), (c), (e), (g) + `False`: Figures 4.6 (b), (d), (f), (h) - Figure 4.8: Boolean variable `stepsize_small` + `True` : Figures 4.8 (a), (b) + `False`: Figures 4.8 (c), (d) - Figure 4.10: Boolean variable `LFCpol_to_G` + `True` : Figures 4.10 (a), (b), (c) + `False`: Figures 4.10 (d), (e), (f) - Figure 5.5: Boolean variable `stepsize_small` + `True` : Figures 5.5 (a) + `False`: Figures 5.5 (b) Instead of the plots you can get the tikz/pgfplots files which were used for the figures in the thesis by setting the Boolean variable `plot_figure` from `True` to `False` in the scripts.
This code has been used for the numerical experiments in the thesis "On leapfrog-Chebyshev schemes for second-order differential equations" by Constantin Carle; see https://www.doi.org/10.5445/IR/1000147725.
Numerical experiments to "On leapfrog-Chebyshev schemes for second-order differential equations"
List of identified sources of product models for embodiment design. Extension of the contribution "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Research Results: "Product Models in Embodiment Design - An Investigation of Challenges and Possibilities"
Processed micro-tomographic scan of the ant Aenictus afrc-gh01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Formica yessensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lachnomyrmex victori, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis tridens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cephalotes serraticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Braconidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Proformica cf mongolica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Iberoformica subrufa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole nubila, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dinoponera quadriceps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Vollenhovia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dacetinops sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole afrc-gh02, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Eutetramorium mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole fervens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Here are the measured values of active energy.
Measured active power of a photovoltaic plant on the roof of IAI-Building
Deutsches Mobilitätspanel (MOP) - Statistiken zur Alltagsmobilität sowie zu Fahrleistung und Kraftstoffverbrauch 2004 - 2013
Processed micro-tomographic scan of the ant Camponotus sericeiventris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole aberrans, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium caespitum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0041, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0041 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Solid solution strengthening in Mo-Nb solid solutions modelled using the Suzuki model including recent additions by Rao and Co-Workers. Implemented in Matlab R2022a, Update 5.
Matlab code for the modelling, exported as .txt file for better accessibility.
Solid solution strengthening in Mo-Nb modelled using the Suzuki approach
Processed micro-tomographic scan of the ant Cardiocondyla venustula (badonei form), scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strongylognathus testaceus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus japonicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Cynipidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data of 5 figures as separate sheets in one MS_Excel file
Optimization of reactively sputtered Mn$_3$GaN films based on resistivity measurements
Processed micro-tomographic scan of the ant Acromyrmex cf coronatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex klugi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from ExINP_GVB24 campaign taking place from 2024-04-02 - 2024-06-05 at Gruvebadet Atmosphere Laboratory. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
# Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR ## Authors Frank Rhein, Timo Sehn, Michael A.R. Meier ## About This repository contains the raw data used in *"Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectrosopy and machine learning"*. For detailed information please refer to the original publication upon acceptance. ## Datasets The following data sets are compiled in this repository and published together with raw ATR-FTIR spectra: - `Wolfs.A`: DOI https://doi.org/10.1002/pol.20230220 - Raw ATR-FTIR data - DS data from IR integration, 1H NMR, 31P NMR methods - `Wolfs.B`: DOI https://doi.org/10.1039/D1GC01508G - Raw ATR-FTIR data - DS data from 1H NMR, 31P NMR methods - `Sehn.A`, `Sehn.B`, `Sehn.C`: DOI https://doi.org/10.1021/acs.biomac.3c00762 - Raw ATR-FTIR data - DS data from 1H NMR method An overview is given in `data_overview.xlsx`. ## Structure Raw ATR-FTIR data is contained in the `IR_data_..` folders, while DS values from different methods are found in the respective `.txt` files. > Note: `IR_DS` refers to the integration based method reported in https://doi.org/10.1002/pol.20230220 ## Methods For more information on data generation and analytical setups please refer to the original publications referenced above. DS data based on 1H NMR data is obtained according to the newly reported evaluation routine. ## Evaluation Scripts The Python scripts for data analysis are available on Github under https://github.com/pdhs-group/DS_IR_ML
Degree of substitution of cellulose acetate and other esters: Raw ATR-FTIR spectra and DS data obtained from IR integration, 1H NMR and 31P NMR
Processed micro-tomographic scan of the ant Probolomyrmex okinawensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Anochetus mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis dives, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Digitaler Anhang, der weiterführende Literaturanalysen und Ausführungen zur Dissertation enthält.
Digitaler Anhang Dissertation Sina Peukert zum Thema "Robustheitssteigerung in Produktionsnetzwerken mithilfe eines integrierten Störungsmanagements"
Computational Materials Science (IAM-CMS), Karlsruher Institut für Technologie (KIT)
# Experimental Data for the Paper "An Empirical Evaluation of Constrained Feature Selection" These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" accepted at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). Check our [GitHub repository](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` [CPU](https://www.amd.com/en/products/cpu/amd-epyc-7551) (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The Python version was `3.8`. Our paper contains two studies, and we provide data for both of them. Running the experimental pipeline for the study with synthetic constraints (`syn_pipeline.py`) took several hours. The commit hash for the last run of this pipeline is [`acc34cf5d2`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/acc34cf5d22b0a8427852a01288bb8b34f5d8c98). The commit hash for the last run of the corresponding evaluation (`syn_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). Running the experimental pipeline for the case study in materials science (`ms_pipeline.py`) took less than one hour. The commit hash for the last run of this pipeline is [`ba30bf9f11`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/ba30bf9f11703e2a8a942425e2cd4b9f36ead513). The commit hash for the last run of the corresponding evaluation (`ms_evaluation.py`) is [`c1a7e7e99e`](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection/tree/c1a7e7e99e56c1a178a602596c13641d7771df0a). All these commits are also tagged. In the following, we describe the structure/content of each data file. All files are plain CSVs, so you can read them with `pandas.read_csv()`. ## `ms/` The input data for the case study in materials science (`ms_pipeline.py`). Output of the script `prepare_ms_dataset.py`. As the raw simulation dataset is quite large, we only provide a pre-processed version of it (we do not provide the input to `prepare_ms_dataset.py`). In this pre-processed version, the feature and target parts of the data are already separated into two files: `voxel_data_predict_glissile_X.csv` and `voxel_data_predict_glissile_y.csv`. In `voxel_data_predict_glissile_X.csv`, each column is a numeric feature. `voxel_data_predict_glissile_y.csv` only contains one column, the numeric prediction target (reaction density of glissile reactions). ## `ms-results/` Only contains one result file (`results.csv`) for the case study in materials science. Output of the script `ms_pipeline.py`, input to the script `ms_evaluation.py`. The columns of the file mostly correspond to evaluation metrics used in the paper; see Appendix A.1 for definitions of the latter. - `objective_value` (float): Objective `Q(s, X, y)`, the sum of the qualities of the selected features. - `num_selected` (int): `n_{se}`, the number of selected features. - `selected` (string, but actually a list of strings): Names of the selected features. - `num_variables` (int): `n`, the total number of features in the dataset. - `num_constrained_variables` (int): `n_{cf}`, the number of features involved in constraints. - `num_unique_constrained_variables` (int): `n_{ucf}`, the number of unique features involved in constraints. - `num_constraints` (int): `n_{co}`, the number of constraints. - `frac_solutions` (float): `n_{so}^{norm}`, the number of valid (regarding constraints) feature sets relative to the total number of feature sets. - `linear-regression_train_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the training set. - `linear-regression_test_r2` (float): `R^2` (coefficient of determination) for linear-regression models, trained with the selected features, predicting on the test set. - `regression-tree_train_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the training set. - `regression-tree_test_r2` (float): `R^2` (coefficient of determination) for regression-tree models, trained with the selected features, predicting on the test set. - `xgb-linear_train_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the training set. - `xgb-linear_test_r2` (float): `R^2` (coefficient of determination) for linear XGBoost models, trained with the selected features, predicting on the test set. - `xgb-tree_train_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the training set. - `xgb-tree_test_r2` (float): `R^2` (coefficient of determination) for tree-based XGBoost models, trained with the selected features, predicting on the test set. - `evaluation_time` (float): Runtime (in s) for evaluating one set of constraints. - `split_idx` (int): Index of the cross-validation fold. - `quality_name` (string): Measure for feature quality (absolute correlation or mutual information). - `constraint_name` (string): Name of the constraint type (see paper). - `dataset_name` (string): Name of the dataset. ## `openml/` The input data for the study with synthetic constraints (`syn_pipeline.py`). Output of the script `prepare_openml_datasets.py`. We downloaded 35 datasets from [OpenML](https://www.openml.org) and removed non-numeric columns. Also, we separated the feature part (`*_X.csv`) and the target part (`*_y.csv`) of each dataset. `_data_overview.csv` contains meta-data for the datasets, including dataset id, dataset version, and uploader. **Licensing** Please consult each dataset's website on [OpenML](https://www.openml.org) for licensing information and citation requests. According to OpenML's [terms](https://www.openml.org/terms), OpenML datasets fall under the [CC-BY](https://creativecommons.org/licenses/by/4.0/) license. The datasets used in our study were uploaded by: - Jan van Rijn (user id: 1) - Joaquin Vanschoren (user id: 2) - Rafael Gomes Mantovani (user id: 64) - Tobias Kuehn (user id: 94) - Richard Ooms (user id: 8684) - R P (user id: 15317) See `_data_overview.csv` to match each dataset to its uploader. ## `openml-results/` Result files for the study with synthetic constraints. Output of the script `syn_pipeline.py`, input to the script `syn_evaluation.py`. One result file for each combination of the 10 constraint generators and the 35 datasets, plus one overall (merged) file, `results.csv`. The columns of the result files are the those of `ms-results/results.csv`, minus `selected` and `evaluation_time`; see above for detailed descriptions.
These are the experimental data for the paper> Bach, Jakob, et al. "An Empirical Evaluation of Constrained Feature Selection" published at the journal [*SN Computer Science*](https://www.springer.com/journal/42979). You can find the paper [here](https://doi.org/10.1007/s42979-022-01338-z) and the code [here](https://github.com/Jakob-Bach/Constrained-Filter-Feature-Selection). See the `README` for details. Some of the datasets used in our study (which we also provide here) originate from [OpenML](https://www.openml.org) and are CC-BY-licensed. Please see the paragraph `Licensing` in the `README` for details, e.g., on the authors of these datasets.
Experimental Data for the Paper ''An Empirical Evaluation of Constrained Feature Selection"
Karlsruher Institut für Technologie (KIT), Karlsruher Institut für Technologie (KIT)
Supplementary material for "Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models" (DOI 10.1145/3524059.3532391) # Step 1: System analysis We provide the processed JSON output of Perf-Taint for the Pace3D and Kripke case studies, as well as the bitcode of Kripke used as input of Perf-Taint. Because Pace3D is closed source, we cannot provide the source code to reproduce the analysis results. # Step 2: Experiment design We provide scripts that: * check the output of Perf-Taint for parameters not interacting with each other, * detect iteration parameters potentially linearly influencing the runtime of the calculation * check the coefficient of variation of single iterations to confirm the linear influence # Step 3: Instrumented experiments We provide the profiles of all measurements conducted for the training points. For Pace3D, we had to add one function to the instrumentation filter manually because of a bug in Score-P: Functions declared as static inline inside a header file which are then called from different translation units are not instrumented correctly by Score-P. Thus, the resulting profiles are incorrect. However, we can work around this bug by including the function calling the static inline function. ## Training Data Pace3D ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 25 configurations to be measured once, resulting in 25 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one using procs and vol, one using procs and cubes) and extract the model of each function from the respective model (depending on whether the functions relies on vol OR on cubes). The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 625 measurements for all possible combinations of the five values of procs, vol, and cubes. Each measurement was repeated 5 times. ### Training Data Plackett-Burman 49 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. ## Training Data Kripke ### Training Data Performance-Detective Performance-Detective derived a minimal experiment design with 5 configurations to be measured once, resulting in 5 measurements. The data for Extra-P is splitted into two folders that contain the same measurements that are labeled differently. As we did not implement modeling for the optimized subset, we later create two models (one for procs, one for dirsets) and extract the model of each function from the respective model (depending on whether the functions relies on procs OR on dirsets). However, for the single-parameter modeler, modeling based on dependencies from Perf-Taint is not yet implemented. Therefore, the measurements are labeled as two parameter-experiments following the policy detailed in the respective folder. The data for PIM is the same as in the Extra-P folder, just labeled with all the values measured. ### Training Data Full-Factorial 125 measurements for all possible combinations of the five values of procs and dirsets. Each measurements was repeated 5 times. ### Training Data Plackett-Burman 10 samples selected using a random seed and 5 levels -- effectively a subset of the full-factorial measurements. Each measurement was repeated 5 times. # Step 4: Modeling and Evaluation Data of each case study is in the respective folder. ## Evaluation Measurements Extra- and interpolated measurement data in the respective folder. ## Extra-P Contains script for calculating the model errors regarding extra- and interpolated evaluation measurements. ### Models Contains Extra-P models as well as a converter from Extra-P format to text (creates PerformanceModel.py), that is used in `calculate_model_errors.py`. It requires an installation of Extra-P to run. ## Performance-Influence Models We use the scripts by [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling), partly modified to account for the configurations of the case studies and modeling based on known dependencies to functions. ### Data Contains the data of the cubex files in csv format. Data is parsed with `create_csv_from_cubex.py`. ### Model errors Contains the csv files with the model errors of the respective models. Files are generated by `learn_method_level_model_with_deps.py` and `learn_method_level_without_deps.py`, respectively. # License The files `calculate_model_errors.py`, `extrap_to_text.py`, and `create_csv_from_cubex.py` are modified parts of the Extra-P Software (cf. [cube_file_reader2.py](https://github.com/extra-p/extrap/blob/master/extrap/fileio/cube_file_reader2.py) and the license file `LICENSE-BSD3-EXTRAP`). The files `learn_method_level_model_with_deps.py` and `learn_method_level_model_without_deps.py` are modified parts of the supplementary material of [Weber et al.](https://github.com/AI-4-SE/White-Box-Performance-Influence-Models/tree/main/supplementary-website/code/modeling). The license file `LICENSE-GPL-PIM` applies to these files.
Performance-Detective: Automatic Deduction of Cheap and Accurate Performance Models - Supplementary Material
Data of publication "Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights"
The spatiotemporal distribution of aerosol particles in the atmosphere has a great impact on radiative transfer, clouds, and air quality. Modern remote sensing methods, as well as airborne in situ measure- ments by unpiloted aerial vehicles (UAV) or balloons, are suitable tools to improve our understanding of the role of aerosol particles in the atmosphere. To validate the measurement capabilities of three relatively new measurement systems and to bridge the gaps that are often encountered between remote sensing and in situ ob- servation, as well as to investigate aerosol particles in and above the boundary layer, we conducted two measure- ment campaigns and collected a comprehensive dataset employing a scanning aerosol lidar, a balloon-borne ra- diosonde with the Compact Optical Backscatter Aerosol Detector (COBALD), an optical particle counter (OPC) on a UAV, and a comprehensive set of ground-based instruments. The extinction coefficients calculated from near-ground-level aerosol size distributions measured in situ are well correlated with those retrieved from lidar measurements, with a slope of 1.037 ± 0.015 and a Pearson correlation coefficient of 0.878, respectively. Verti- cal profiles measured by an OPC-N3 on a UAV show similar vertical particle distributions and boundary layer heights to lidar measurements. However, the sensor, OPC-N3, shows a larger variability in the aerosol backscat- ter coefficient measurements, with a Pearson correlation coefficient of only 0.241. In contrast, the COBALD data from a balloon flight are well correlated with lidar-derived backscatter data from the near-ground level up to the stratosphere, with a slope of 1.063 ± 0.016 and a Pearson correlation coefficient of 0.925, respectively. This consistency between lidar and COBALD data reflects the good data quality of both methods and proves that lidar can provide reliable and spatial distributions of aerosol particles with high spatial and temporal resolutions. This study shows that the scanning lidar has the capability to retrieve backscatter coefficients near the ground level (from 25 to 50 m above ground level) when it conducts horizontal measurement, which is not possible for verti- cally pointing lidar. These near-ground-level retrievals compare well with ground-level in situ measurements. In addition, in situ measurements on the balloon and UAV validated the scanning lidar retrievals within and above the boundary layer. The scanning aerosol lidar allows us to measure aerosol particle distributions and profiles from the ground level to the stratosphere with an accuracy equal to or better than in situ measurements and with a similar spatial resolution.
Comparison of scanning aerosol LIDAR and in situ measurements of aerosol physical properties and boundary layer heights
Die publizierten Daten sind eine Zusammenstellung der erforschten Rohdaten.
The data set contains research data related to the additive manufacturing of test specimens made of amorphous polyether ketone ketone (PEKK-A) and their characterization.
Der Datensatz enthält Forschungsdaten im Zusammenhang zur additiven Fertigung von Probekörpern aus amorphem Polyetherketonketon (PEKK-A) und deren Charakterisierung.
Research on poly(ether ketone ketone) PEKK
Processed micro-tomographic scan of the ant Hagensia havilandi marleyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Messor striatifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cf biconstricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Kartidris ashima, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nesomyrmex angulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex halidaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ponera kohmoku, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg–Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.3.3 - matplotlib - 3.1.2 - tikzplotlib - 0.9.8 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figures In the folder "code_23_DoerichHenning_GL" open a console and run the following commands after each other (2a+b, 4a+b can be executed in paralell). 1) Run "python3 c1_generate_rectangle.py" 2a) Run "python3 c2a_GL_FEM_comp_all_min_finest.py" 2b) Run "python3 c20_GL_FEM_comp_kappa20.py" 3) Run "python3 c2b_GL_FEM_comp_all_min.py" 4a) Run "python3 c3a_GL_FEM_comp_all_errors.py" 4b) Run "python3 c3b_GL_FEM_comp_all_eigs.py" 5) Run "python3 c4_GL_FEM_draw_error_plot.py" After running the calculations, the files are stored as follows: (a) the folder "plots_for_paper" contains the pdf and tikz files for the error plots in Figure 2 and 3. (b) the folders "sol_ref_3_Mag_st_2.0_kappa_[KAPPA]_P1_square" contain all figures of the solutions where [KAPPA] is replaced by the respective value.
Numerical experiments for "Error bounds for discrete minimizers of the Ginzburg-Landau energy in the high-κ regime" (v2)
Processed micro-tomographic scan of the ant Zasphinctus sarowiwai, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus albosparsus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys cf binghamii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This data was generated using the software developed by (Stamer 2022), doi: 10.5281/zenodo.6468683
Experiment data for the application of actor critic reinforcement learning for dynamic pricing in production
Processed micro-tomographic scan of the ant Strumigenys sp gundlachi group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Recurvidris recurvispinosa, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atta sexdens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia bourbonica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax brackoi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus niveosetosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lophomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Bethylidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys diminuta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data from FROSTDEFEND_23 campaign taking place from 2023-03-27 - 2023-04-24 at a lemon orchad near Aigio. This dataset represents the processed data (Level 1) as created by the PIA software v2.1.0 (https://doi.org/10.5281/zenodo.15592850).
Application of a Dynamic Pricing for Variant Manufacturing in Production Networks using Reinforcement Learning - Result Data
Processed micro-tomographic scan of the ant Proatta sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aenictus lifuiae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The measurement mode was full-field and the data available here contains the recorded 2D projections, consisting of absorption contrast images. The data is saved in TIFF files each corresponding to one specific energy point and rotation angle. For a description of exact energy points and rotational angles used, see the corresponding publication. This dataset is measured under SCR conditions (1000 ppm NO, 1000 ppm NH3, 7.8% O2 in He as balance gas, flow rate 50 ml/min) at 300°C.
Full-Field XANES tomography data of a Cu-SSZ-13 washcoated monolith: SCR @ 300°C dataset
Processed micro-tomographic scan of the ant Pheidole midas, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gesomyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax kubira, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains IR, Raman, and LC/MS characterization as well as fluorescence and water contact angle measurements. The measurements provide detailed prove on the existence of the said functional groups and molecules as well as the characterization of the obtained hydrogels and the effectiveness of covalently binding oligonucleotides to the gels. The fluorescence images confirm the binding and subsequent hybridization of the fluorophore marked oligonucleotide strands.
OligoHydrogelArray (OHA) for Parallelized Solid‐Phase Extraction of Oligonucleotides
Processed micro-tomographic scan of the ant Solenopsis afrc-za06, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Ichneumonidae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code is used for the numerical experiments in Section 6 of the paper "Full discretization error analysis of semilinear wave equations with exponential integrators" by Benjamin Dörich and Jan Leibold. The computations are done in C++ using the Finite Element library deal.II; the plots then are generated with Matlab. To use this code, deal.II (release 9.2.0) has to be installed, cf. https://www.dealii.org/9.2.0 In order to compile the program, open a terminal session in this folder and call "cmake -DDEAL_II_DIR=/path/to/deal.II .". Next, call "make release" and then "make" to compile the files. Finally, run the program with "make run". This performs the computations and generates files in the "output" folder containing the results of the numerical experiments. Note that the computations take several hours to a few days depending on the computer. After that, the plots can be generated with the Matlab Script 'plot_figures.m'.
Numerical experiments to "Full discretization error analysis of semilinear wave equations with exponential integrators" (Version 2)
# Shallow-seismic and multi-offset ground-penetrating radar data acquired at the Rheinstetten test site - Editor:Tan Qin - Edit date: 27 October 2023 - Data acquisition date: 6 September 2021 -- 8 September 2021 # Materials - rawData/: Raw data in Matlab format (.mat) and the scripts to plot the data. - WAVE-Inversion/: Preprocessed data and initial models in WAVE-Toolbox format (https://github.com/WAVE-Toolbox) # Option 1: Use WAVE-Toolbox - Download and install WAVE-Simulation and WAVE-Inversion from https://github.com/WAVE-Toolbox. - To implement an indirect joint petrophysical inversion with field data example, please copy the materials in WAVE-Inversion/par/ to the installed software and run "sbatch start_Inversion_EttlingerCB_Surface_ViscoSH2D_and_TMEM2D_gpihpc.sh" in par/ if you are using a supercomputer with slurm workload manager. Note that you may need to edit the .sh file so that it can run on your local pc or on a supercomputer. For more details on the configuration, please read the documentation in WAVE-Inversion/doc/guide/. # Option 2: NOT use WAVE-Toolbox - The initial models and preprocessed field data can be read by Matlab using the .m files given in WAVE-Toolbox software. You can also find the raw data in rawData/ if you want. They can be transformed into other formats by yourself and be used for your interests.
Shallow-seismic and multi-offset ground-penetrating radar data acquired at the Rheinstetten test site
Processed micro-tomographic scan of the ant Streblognathus peetersi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Trichomyrmex oscaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole cavifrons, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI "
Research Data to the Article "Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI
Interferometric Particle Imaging for Particle Sizing in the Front-, Side-, and Backscatter Region – Towards Single Optical Access IPI - Research Data
Processed micro-tomographic scan of the ant Mycetophylax strigatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Allomerus octoarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera laevigata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Orectognathus versicolor, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
2 Inverse vulcanization of norbornenylsilanes
Processed micro-tomographic scan of the ant Bothroponera soror, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys canina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Polyrhachis illaudata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
main manuscript, figures, and data underlying the plots
Data for "In-situ diagnostics and role of light-induced forces in metal laser nanoprinting"
Processed micro-tomographic scan of the ant Calyptomyrmex brunneus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Gnamptogenys reinchenspergeri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga silvestrii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys gaigei, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Parasyscia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax anacanthus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Atopomyrmex mocquerysi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Megalomyrmex aff goeldii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Typhlomyrmex cf pusillus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys kitteli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens Industrial Edge Prozesse mit einer Abtastrate von 500 Hz aufgenommen. Es wurde ein Prozess für das Modelltraining und ein Prozess für die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) aufgenommen, um möglichst viele Fälle abdecken zu können.
Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Workpiece: Pictures of the raw parts as well as the machined workpieces. The pictures show the unfinished part on the left, the training part in the middle and a part with two validation runs on the right. Experimental data: -Machine: DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
The aim of the data set is the training as well as the validation of models for the prediction of time series for milling processes. For this purpose, processes with a sampling rate of 500 Hz were recorded on a DMG CMX 600 V by a Siemens Industrial Edge. A process for model training and a process for validation were recorded, which were used for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible.
Training and validation dataset of milling processes for time series prediction
Processed micro-tomographic scan of the ant Tetramorium peringueyi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex punctaticeps, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia parvula, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Leptogenys okm01, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)
The data used for the figures in the publication "The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence" is provided. It is postprocessed from the raw output of carrier-phase direct numerical simulations (CP-DNS) of iron particles combusting in a homogeneous isotropic turbulent air flow. For each figure the data is provided in a corresponding subfolder, only Figure 3 and 6 share a folder since it consists of very similar data. The detailed format of the data is specific to each figure and documented in the files README.md in the corresponding subfolders.
We perform carrier-phase direct numerical simulations (CP-DNS) to investigate the interaction of iron particle cloud combustion and clustering through turbulence. A pseudo spectral multi-phase solver in combination with a point particle iron reaction model is used, capturing mass, heat and momentum transfer between the phases. We investigate the combustion of 10 µm-sized iron particles with air, in homogeneous isotropic turbulence (HIT) at Stokes number one, varying the equivalence ratios from lean ($\phi=0.1$) to fuel-rich ($\phi=2$). At the start, the particles are homogeneously distributed with a temperature below particle ignition temperature. Particle clusters form through turbulence and ignite. While in the very lean regime ($\phi<0.25$) the $\mathrm{O_2}$ diffusion through the particle boundary layer limits the conversion of $\mathrm{Fe}$ to $\mathrm{FeO}$, for $\phi>0.5$, the oxygen depletion in clusters slows down the overall oxidation progress, and the conversion is limited by the transport of oxygen from regions devoid of particles into clusters. This observation from numerical simulation is supported by a time-scale analysis of the effects involved. We also quantify particle clustering through a Voronoi tessellation and show that through combustion, particle clusters become more prominent. This is caused by two effects. First, if the reacting particles are spaced closely enough to create a local lack of oxygen, a fluid flow is triggered from the regions devoid of particles into clusters. This flow carries particles into the cluster region. Second, finite-size particles cannot follow the fast thermal fluid expansion caused by the exothermic particle reaction as well as the slower compression through heat losses to colder areas.
The interaction between particle clustering and iron particle cloud combustion in homogeneous isotropic turbulence
Raw data from microscopy, nanoindantion, XRD and friction tests
Raw data to manuscript by Lehmann et al on the tribological properties of copper oxides
Processed micro-tomographic scan of the ant Parasyscia sp cribrinodis group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
The wbk Industrial Assembly Task Board is a modular benchmark designed to evaluate robotic assembly systems. Developed by the wbk Institute of Production Science at KIT (Karlsruhe Institute of Technology), this task board provides a diverse set of tasks that simulate real-world industrial challenges. It includes modules for peg-in-hole tasks, pick-and-place operations, gear assembly, screws and nuts handling, and elastic deformation tasks. Features: - Modular design for customizable benchmarks. - 3D-printable components for easy replication. - Comprehensive documentation for setup and evaluation. - Designed to test precision, adaptability, and advanced planning in robotic systems.
The wbk Industrial Assembly Task Board is a modular benchmark designed to address the complexities of robotic assembly tasks beyond the traditional "peg-in-hole" paradigm. This task board provides a diverse set of challenges that simulate real-world industrial assembly scenarios. Each module is tailored to test specific assembly complexities, including precision insertion, compliant assembly, and advanced planning for multi-part interactions. The modular design enables researchers to mix and match tasks, allowing for customized benchmarks that address specific research questions. All components are 3D-printable, ensuring accessibility and reproducibility across the robotics community. This paper presents the design rationale, task descriptions, and evaluation criteria for the task board, along with instructions on how to build the board yourself.
Das wbk Industrial Assembly Task Board ist ein modularer Benchmark, der entwickelt wurde, um die Komplexität von Roboter-Montageaufgaben abzubilden, die über das traditionelle „Peg-in-Hole”-Paradigma hinausgehen. Das Task Board bietet eine Vielzahl von Herausforderungen, die reale industrielle Montageszenarien simulieren. Jedes Modul ist auf die Prüfung spezifischer Komplexitäten der Montage zugeschnitten, darunter präzises Einfügen, konforme Montage und fortgeschrittene Planung für Interaktionen mit mehreren Teilen. Der modulare Aufbau ermöglicht es Forschern, Aufgaben zu kombinieren und anzupassen, sodass maßgeschneiderte Benchmarks für spezifische Forschungsfragen erstellt werden können. Alle Komponenten sind 3D-druckbar, wodurch die Zugänglichkeit und Reproduzierbarkeit für die gesamte Robotik-Community gewährleistet ist. Dieser Artikel stellt die Konstruktionsgrundlagen, Aufgabenbeschreibungen und Bewertungskriterien für das Task Board vor und enthält Anweisungen zum Bau des Boards.
From Toy Problems to Industrial Reality: The wbk Assembly Benchmark
Datensatz zu der Publikation "Topology optimization on two-dimensional manifolds". DOI: 10.1016/j.cma.2020.112937
Dataset to the publication 'Topology optimization on two-dimensional manifolds'
Processed micro-tomographic scan of the ant Prionopelta amabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Mayaponera constricta, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Liometopum apiculatum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole xerophila, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tapinoma saohime, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
Microstructural study of MgB$_{2}$ in the LiBH$_{4}$-MgH$_{2}$ composite by TEM
Processed micro-tomographic scan of the ant Heteroponera flava, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex rugosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmecina graminicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Solenopsis germinata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Brachymyrmex patagonis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera hespera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Python code for simulation of Cyclic Voltammograms for 6-step process (EEC-EEC, where E is Electrochemical and C - Chemical steps). Code is non universal but can be easily modified for other mechanisms.
Current version available at https://github.com/QchemElectroChem/CyclicVoltammetry
Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT), Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
Original photos, SEM images, AFM data, and optical spectra of five species of the genus Bitis. For details please see manuscript Reza et al. (2024): "Nanopores in ventral scales cause white venters for the thermoregulation of snakes".
Nanopores in ventral scales cause white venters for the thermoregulations of snakes
Processed micro-tomographic scan of the ant Temnothorax congruus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
This archive contains a load test environment for the TrainTicket benchmarking application, including analysis scripts. The use of the archive is further described in a README.md file.
Environment for Externalized and Decentralized Authorization of Microservices
Processed micro-tomographic scan of the ant Camponotus sexpunctatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acropyga guianensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Odontomachus cf monticola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0043, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0043 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Formica cunicularia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys strigatella, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS), Karlsruher Institut für Technologie (KIT)
Institut für Kolbenmaschinen (IFKM), Karlsruher Institut für Technologie (KIT)
Die Folien sind im Rahmen des von der Deutschen Bundesstiftung Umwelt geförderten Projektes NaProIng (Nachhaltige Produktentwicklung für Ingenieure) als Lernmaterialien entwickelt worden und bilden den gleichen Inhalt wie die zugehörigen gleichnamigen Kurzfilme ab.
Die wissenschaftliche Nachhaltigkeitsbewertung ist ein Bereich, in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Umwelt- und Nachhaltigkeitsbewertung sind von zentraler Bedeutung für die Vergleichbarkeit, Verlässlichkeit und Nachvollziehbarkeit von Entscheidungen. Eine wichtige Methode ist die Ökobilanz bzw. Lebenszyklusanalyse – auf Englisch Life-Cycle Assessment, die kurz LCA genannt wird. Sie muss die Kriterien Objektivität, Reliabilität und Validität erfüllen und ist oft vergleichend angelegt. Denn zu wissen, welche Umweltwirkungen ein E-Auto hat ohne sie mit einer Alternative vergleichen zu können, ist noch keine Evidenz basierte Entscheidungshilfe: die begründete Differenzierbarkeit fehlt.
Nachhaltigkeit Nachhaltigkeitsbewertung Ökobilanz
Multi-ADM-Analyzer is a modular Python framework for post-processing and visualizing atmospheric dispersion model outputs. The tool supports ensemble-based analysis of cell-wise simulation results by transforming binary model outputs into geospatial products suitable for inter-model comparison and publication-quality reporting. Its main workflows include probabilistic exceedance mapping, signed relative-frequency comparison between two Atmospheric Dispersion Models (ADMs), categorical overlay analysis among three ADMs, and threshold-based overlay analysis for identifying robust regions of probabilistic agreement. The framework reads scenario-specific binary result files, extracts one scalar value per computational grid cell and ensemble run, computes statistical indicators such as exceedance probability or relative activation frequency, joins the derived quantities to a geospatial computational grid, and renders classified map outputs. The architecture separates configuration handling, path resolution, data loading, geospatial joining, statistical computation, plotting, and pipeline orchestration into dedicated modules. The design keeps the scientific workflow configuration-driven. By supporting harmonized map panels, fixed spatial extents, local or online basemap overlays, statistical summaries, and debug outputs, Multi-ADM-Analyzer provides a reproducible workflow for comparing ADM spatial footprints, identifying agreement and divergence among models, and supporting probabilistic interpretation of atmospheric dispersion simulations in emergency-planning and sensitivity-analysis contexts.
See File "ReadMe_technical.md". Also on GitHub: https://github.com/KIT-ITES/Multi-ADM-Analyzer/blob/main/ReadMe.md
JRODOS Multi-Model Atmospheric Dispersion Pipeline for Nuclear Emergency Planning
This contribution presents numerical data on laminar, steady-state single-phase flow in different Periodic Open Cellular Structures (POCS) and different strut arrangements. The data are derived from numerical simulations employing periodic boundary conditions. Water with constant thermophysical properties is used as the fluid, and a constant solid surface temperature is used as the thermal boundary condition. In addition to the geometric characteristics of the structures, the results include data on pressure drop and mean heat transfer coefficients.
Pressure drop and convective heat transfer results obtained from numerical simulations using periodic boundary conditions for various periodic open cellular structures and strut arrangements, together with their geometric characteristics, are summarized in an Excel file.
Dieser Beitrag präsentiert numerische Daten zur einphasigen, stationär laminaren Durchströmung verschiedener periodisch offenenzelliger Strukturen (POCS) sowie unterschiedlicher Steganordnungen. Die Daten stammen aus numerischen Simulationen mit periodischen Randbedingungen. Als Fluid wird Wasser mit konstanten Stoffdaten verwendet und als thermische Randbedingung wird eine konstante Festkörperoberflächentemperatur zugrunde gelegt. Neben den geometrischen Eigenschaften der Strukturen umfassen die Ergebnisse auch Daten zum Druckverlust und zu den mittleren Wärmeübergangskoeffizienten.
Laminar Steady-State Flow in Periodic Open Cellular Structures (POCS) and Strut Arrangements - Data for Convective Heat Transfer and Pressure Drop
Dataset related to the publication "Astigmatism Quantification for Depth Localization of Bubbles and Tracers across Curved Surfaces". Detailed information on the dataset is contained in the README file.
Astigmatism Quantification for Depth Localization of Bubbles and Tracers across Curved Surfaces
Understanding the interaction between the hand-arm system (HAS) and the tool supports the product development of handheld and hand-guided tools. The tool transmits vibration to the HAS, while the user's interaction, e.g. varying grip and push forces, in turn affects the tools dynamic behavior. Models of the HAS describe this interaction by predicting how the hand and arm respond to mechanical vibration. This data set provides the underlying experimental data for 13 subjects: it characterizes the dynamic response of the hand-arm system through three frequency-dependent quantities — apparent mass, mechanical impedance, and vibration power absorption — recorded while subjects maintained defined grip forces (four levels, 25–135 N) and push forces (four levels, 30–100 N) and translational vibration was applied along the palm (xh-axis according to DIN 5349:2001). Each force combination was repeated three times per subject, and ten further measurements per subject at randomized force combinations serve as validation data. The data set provides 4216 records from the main study and 937 validation records, each for apparent mass, mechanical impedance, and vibration power absorption.
The study was approved by the Ethics Committee of Karlsruhe Institute of Technology (no. A2025-018). Each participant gave written informed consent after receiving information on the study procedure and the handling of their data, and was free to withdraw at any time. As data on the vibration response of the female hand-arm system remain scarce in the current literature, participants were recruited to achieve an approximately balanced sex distribution. The measurements were carried out on an instrumented handle that complies with ISO 10068:2012. Translational vibration was applied to the hand-arm system along the palm (xh-axis according to DIN 5349:2001) by a shaker system, while the subjects' posture remained within the ranges specified in ISO 10819:2022. Prior to the study, a calibration function for the handle was derived by exciting it with several reference weights. During acquisition, the subjects held the prescribed force levels in randomized order: grip force at four levels from 25 to 135 N and push force at four levels from 30 to 100 N. Each grip–push force combination was repeated three times per subject, and ten additional measurements at randomized force combinations within the same ranges were recorded per subject for validation purposes. The excitation signal was a multisine covering 10 to 500 Hz in 5 Hz steps with an overall root-mean-square acceleration of 40 m/s². Between 10 and 30 Hz, the acceleration amplitude increased linearly from 2 to 6 m/s²; from 30 to 500 Hz, it was held constant at 6 m/s² at each frequency. The three quantities characterize the dynamic response of the hand-arm system in the frequency domain. The apparent mass (AM) is the complex ratio of the applied dynamic force 𝐹 to the acceleration 𝑎 at the excitation point. The mechanical impedance (MI) is the complex ratio of the same force to the vibration velocity 𝑣, where 𝑣 is obtained by integrating the recorded acceleration 𝑎. From the real part of the MI together with the input acceleration, the mechanical power 𝑃ℎ absorbed by the hand-arm system is determined and reported as the vibration power absorption (VPA). Each measurement was acquired over 15 s and segmented into data sets of 14 multisine repetitions with an overlap of 7 repetitions, yielding 4216 data sets from the main study and 937 validation data sets, each for apparent mass, mechanical impedance, and vibration power absorption. The data set comprises two files: resultsMatrix.mat, containing the data sets from the main study with the 4×4 grip and push force combinations, and validationMatrix.mat, containing the data sets from the validation measurements. Both MATLAB structs (R2022b, The MathWorks, Inc., Natick, MA, USA) are organized colum-wise as follows: • Column 1, 'SubjectNumber': identifier of the subject. Subjects retained fixed identifiers across the studies in the other excitation directions, so the numbering is not consecutive with respect to the order of participation. • Column 2, 'direction': evaluated direction of the accelerometer (ax) and the force sensor (Fx), together with the excitation type (Transl for translational). • Column 3, 'accDir': evaluated direction of the accelerometer (1 = x, 2 = y, 3 = z). • Column 4, 'forceDir': evaluated direction of the force sensor (1 = x, 2 = y, 3 = z). • Column 5, 'recordFrequency': sampling frequency at which the signals were recorded. • Column 6, 'MeanPushForce': mean push force applied during acquisition of the data set. • Column 7, 'TargetPushForce': push force the subject was asked to maintain during acquisition. • Column 8, 'MeanGripForce': mean grip force applied during acquisition of the data set. • Column 9, 'TargetGripForce': grip force the subject was asked to maintain during acquisition. • Column 10, 'Fjw': FFT of the force sensor signal in excitation direction, evaluated at the excited frequencies. • Column 11, 'ajw': FFT of the accelerometer signal in excitation direction, evaluated at the excited frequencies. • Column 12, 'MI': mechanical impedance as complex values; the absolute value gives the magnitude in Ns/m, the angle gives the phase in rad. • Column 13, 'AM': apparent mass as complex values; absolute value in kg, phase angle in rad. • Column 14, 'VPA': vibration power absorption as complex values; the absolute value yields the VPA in W. Owing to electrical interference in the measurement setup, an additional filtering step was applied. The interference appears at integer multiples of 100 Hz (100, 200, 300, and 400 Hz). As the MI curve of a subject has been shown to vary smoothly across adjacent frequencies (ISO 10068:2012), the calculated MI, AM and VPA values at the affected frequencies were not taken from the measured data but interpolated from their immediate neighbors (e.g., 95 and 105 Hz). • Column 15, 'freq_vec': frequency vector of the evaluation points in the frequency domain, derived from the measured data and matching the multisine excitation (10–500 Hz in 5 Hz steps). • Column 16, 'MaxPushForce': push force measured for the subject at maximum voluntary contraction (MVC). • Column 17, 'MaxGripForce': grip force measured for the subject at maximum voluntary contraction (MVC). • Column 18, 'sex': subject sex (1 = male, 2 = female). • Columns 19–29: anthropometric data, measured in accordance with ISO 7250-1:2017. 'handWeight' in g, 'bodyWeight' in kg; all length measures in mm.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces for Translatory Excitation along the xh-Axis
The study was approved by the Ethics Committee of Karlsruhe Institute of Technology (no. A2025-018). Each participant gave written informed consent after receiving information on the study procedure and the handling of their data, and was free to withdraw at any time. As data on the vibration response of the female hand-arm system remain scarce in the current literature, participants were recruited to achieve an approximately balanced sex distribution. The measurements were carried out on an instrumented handle that complies with ISO 10068:2012. Rotational vibration was applied to the hand-arm system around the handle axis (yh-axis according to DIN 5349:2001) by a shaker system, while the subjects' posture remained within the ranges specified in ISO 10819:2022. Prior to the study, a calibration function for the handle was derived by exciting it with several reference weights. During acquisition, the subjects held the prescribed force levels in randomized order: grip force at four levels from 70 to 135 N and push force at four levels from 25 to 65 N. Each grip–push force combination was repeated three times per subject, and ten additional measurements at randomized force combinations within the same ranges were recorded per subject for validation purposes. The excitation signal was a multisine covering 10 to 100 Hz in 5 Hz steps with an overall root-mean-square acceleration of 40 m/s². Between 10 and 30 Hz, the acceleration amplitude increased linearly from 2 to 6 m/s²; from 30 to 100 Hz, it was held constant at 6 m/s² at each frequency. The three quantities characterize the dynamic response of the hand-arm system in the frequency domain. The apparent moment of inertia (AM) is the complex ratio of the applied dynamic torque T to the angular acceleration 𝑎 at the excitation point. The mechanical impedance (MI) is the complex ratio of the same torque to the vibration angular velocity 𝑣, where 𝑣 is obtained by integrating the recorded angular acceleration 𝑎. From the real part of the MI together with the input angular acceleration, the mechanical power absorbed by the hand-arm system is determined and reported as the vibration power absorption (VPA). Each measurement was acquired over 15 s and segmented into data sets of 14 multisine repetitions with an overlap of 7 repetitions, yielding 3063 data sets from the main study and 804 validation data sets, each for apparent moment of inertia, mechanical impedance, and vibration power absorption. The data set comprises two files: resultsMatrix.mat, containing the data sets from the main study with the 4×4 grip and push force combinations, and validationMatrix.mat, containing the data sets from the validation measurements. Both MATLAB structs (R2022b, The MathWorks, Inc., Natick, MA, USA) are organized column-wise as follows: • Column 1, 'SubjectNumber': identifier of the subject. Subjects retained fixed identifiers across the studies in the other excitation directions, so the numbering is not consecutive with respect to the order of participation. • Column 2, 'direction': evaluated direction of the accelerometer (ay) and the force sensor (Fy), together with the excitation type (Rotat for rotational). • Column 3, 'accDir': evaluated direction of the accelerometer (1 = x, 2 = y, 3 = z). • Column 4, 'forceDir': evaluated direction of the force sensor (1 = x, 2 = y, 3 = z). • Column 5, 'recordFrequency': sampling frequency at which the signals were recorded. • Column 6, 'MeanPushForce': mean push force applied during acquisition of the data set. • Column 7, 'TargetPushForce': push force the subject was asked to maintain during acquisition. • Column 8, 'MeanGripForce': mean grip force applied during acquisition of the data set. • Column 9, 'TargetGripForce': grip force the subject was asked to maintain during acquisition. • Column 10, 'Fjw': FFT of the torque, derived from the force sensor signal and the lever arm in excitation direction, evaluated at the excited frequencies. • Column 11, 'ajw': FFT of the angular acceleration, derived from the accelerometer signal and the lever arm in excitation direction, evaluated at the excited frequencies. • Column 12, 'MI': mechanical impedance as complex values; the absolute value gives the magnitude in Nms/rad, the angle gives the phase in rad. • Column 13, 'AM': apparent moment of inertia as complex values; absolute value in kgm², phase angle in rad. • Column 14, 'VPA': vibration power absorption as complex values; the absolute value yields the VPA in W. • Column 15, 'freq_vec': frequency vector of the evaluation points in the frequency domain, derived from the measured data and matching the multisine excitation (10–100 Hz in 5 Hz steps). • Column 16, 'MaxPushForce': push force measured for the subject at maximum voluntary contraction (MVC). • Column 17, 'MaxGripForce': grip force measured for the subject at maximum voluntary contraction (MVC). • Column 18, 'sex': subject sex (1 = male, 2 = female). • Columns 19–29: anthropometric data, measured in accordance with ISO 7250-1:2017. 'handWeight' in g, 'bodyWeight' in kg; all length measures in mm.
Understanding the interaction between the hand-arm system (HAS) and the tool supports the product development of handheld and hand-guided tools. The tool transmits vibration to the HAS, while the user's interaction, e.g. varying grip and push forces, in turn affects the tools dynamic behavior. Models of the HAS describe this interaction by predicting how the hand and arm respond to mechanical vibration. This data set provides the underlying experimental data for 10 subjects: it characterizes the dynamic response of the hand-arm system through three frequency-dependent quantities — apparent moment of inertia, mechanical impedance, and vibration power absorption — recorded while subjects maintained defined grip forces (four levels, 70–135 N) and push forces (four levels, 25–65 N) and rotational vibration was applied around the handle axis (yh-axis according to DIN 5349:2001). Each force combination was repeated three times per subject, and ten further measurements per subject at randomized force combinations serve as validation data. The data set provides 3063 records from the main study and 804 validation records, each for apparent mass, mechanical impedance, and vibration power absorption.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces for Rotatory Excitation around the yh-Axis
Understanding the interaction between the hand-arm system (HAS) and the tool supports the product development of handheld and hand-guided tools. The tool transmits vibration to the HAS, while the user's interaction, e.g. varying grip and push forces, in turn affects the tools dynamic behavior. Models of the HAS describe this interaction by predicting how the hand and arm respond to mechanical vibration. This data set provides the underlying experimental data for 10 subjects: it characterizes the dynamic response of the hand-arm system through three frequency-dependent quantities — apparent mass, mechanical impedance, and vibration power absorption — recorded while subjects maintained defined grip forces (four levels, 70–135 N) and push forces (four levels, 25–65 N) and translational vibration was applied along the handle axis (yh-axis according to DIN 5349:2001). Each force combination was repeated three times per subject, and ten further measurements per subject at randomized force combinations serve as validation data. The data set provides 2897 records from the main study and 854 validation records, each for apparent mass, mechanical impedance, and vibration power absorption.
The study was approved by the Ethics Committee of Karlsruhe Institute of Technology (no. A2025-018). Each participant gave written informed consent after receiving information on the study procedure and the handling of their data, and was free to withdraw at any time. As data on the vibration response of the female hand-arm system remain scarce in the current literature, participants were recruited to achieve an approximately balanced sex distribution. The measurements were carried out on an instrumented handle that complies with ISO 10068:2012. Translational vibration was applied to the hand-arm system along the handle axis (yh-axis according to DIN 5349:2001) by a shaker system, while the subjects' posture remained within the ranges specified in ISO 10819:2022. Prior to the study, a calibration function for the handle was derived by exciting it with several reference weights. During acquisition, the subjects held the prescribed force levels in randomized order: grip force at four levels from 70 to 135 N and push force at four levels from 25 to 65 N. Each grip–push force combination was repeated three times per subject, and ten additional measurements at randomized force combinations within the same ranges were recorded per subject for validation purposes. The excitation signal was a multisine covering 10 to 100 Hz in 5 Hz steps with an overall root-mean-square acceleration of 40 m/s². Between 10 and 30 Hz, the acceleration amplitude increased linearly from 2 to 6 m/s²; from 30 to 100 Hz, it was held constant at 6 m/s² at each frequency. The three quantities characterize the dynamic response of the hand-arm system in the frequency domain. The apparent mass (AM) is the complex ratio of the applied dynamic force 𝐹 to the acceleration 𝑎 at the excitation point. The mechanical impedance (MI) is the complex ratio of the same force to the vibration velocity 𝑣, where 𝑣 is obtained by integrating the recorded acceleration 𝑎. From the real part of the MI together with the input acceleration, the mechanical power absorbed by the hand-arm system is determined and reported as the vibration power absorption (VPA). Each measurement was acquired over 15 s and segmented into data sets of 14 multisine repetitions with an overlap of 7 repetitions, yielding 2897 data sets from the main study and 854 validation data sets, each for apparent mass, mechanical impedance, and vibration power absorption. The data set comprises two files: resultsMatrix.mat, containing the data sets from the main study with the 4×4 grip and push force combinations, and validationMatrix.mat, containing the data sets from the validation measurements. Both MATLAB structs (R2022b, The MathWorks, Inc., Natick, MA, USA) are organized column-wise as follows: • Column 1, 'SubjectNumber': identifier of the subject. Subjects retained fixed identifiers across the studies in the other excitation directions, so the numbering is not consecutive with respect to the order of participation. • Column 2, 'direction': evaluated direction of the accelerometer (ay) and the force sensor (Fy), together with the excitation type (Transl for translational). • Column 3, 'accDir': evaluated direction of the accelerometer (1 = x, 2 = y, 3 = z). • Column 4, 'forceDir': evaluated direction of the force sensor (1 = x, 2 = y, 3 = z). • Column 5, 'recordFrequency': sampling frequency at which the signals were recorded. • Column 6, 'MeanPushForce': mean push force applied during acquisition of the data set. • Column 7, 'TargetPushForce': push force the subject was asked to maintain during acquisition. • Column 8, 'MeanGripForce': mean grip force applied during acquisition of the data set. • Column 9, 'TargetGripForce': grip force the subject was asked to maintain during acquisition. • Column 10, 'Fjw': FFT of the force sensor signal in excitation direction, evaluated at the excited frequencies. • Column 11, 'ajw': FFT of the accelerometer signal in excitation direction, evaluated at the excited frequencies. • Column 12, 'MI': mechanical impedance as complex values; the absolute value gives the magnitude in Ns/m, the angle gives the phase in rad. • Column 13, 'AM': apparent mass as complex values; absolute value in kg, phase angle in rad. • Column 14, 'VPA': vibration power absorption as complex values; the absolute value yields the VPA in W. • Column 15, 'freq_vec': frequency vector of the evaluation points in the frequency domain, derived from the measured data and matching the multisine excitation (10–100 Hz in 5 Hz steps). • Column 16, 'MaxPushForce': push force measured for the subject at maximum voluntary contraction (MVC). • Column 17, 'MaxGripForce': grip force measured for the subject at maximum voluntary contraction (MVC). • Column 18, 'sex': subject sex (1 = male, 2 = female). • Columns 19–29: anthropometric data, measured in accordance with ISO 7250-1:2017. 'handWeight' in g, 'bodyWeight' in kg; all length measures in mm.
Measurements of the Mechanical Impedance and Vibration Power Absorption for Varying Grip and Push Forces for Translatory Excitation along the yh-Axis
Atmospheric temperature and composition variations significantly influence secondary organic aerosol (SOA) formation and aging, and thus fine particulate matter levels and properties relevant for climate, air quality, and human health. However, the temperature dependence of SOA formation and aging from mixed volatile organic compounds (VOCs) remains insufficiently understood. Therefore, we investigated SOA formation from the oxidation of isoprene and α-pinene mixtures covering the range of tropospheric temperatures (213 – 313 K). We further examine the aging of the resulting SOA by gradually warming to mimic their atmospheric transport and diurnal aging processes. Notably, at 213 K, isoprene most strongly suppresses α-pinene dimer (C18-20) formation, with isoprene-α-pinene cross dimers appearing 3.5 times more frequently than at 273 K, while the suppression is not temperature-sensitive above 273 K. Upon subsequent warming, particles formed at different temperature ranges undergo distinct aging processes including aerosol evaporation and water uptake. Surprisingly, particles formed at higher temperatures are more oxidized yet more volatile than those formed at lower temperatures and subsequently warmed. Chemical transport modeling accounting for temperature-depended simultaneous oxidation of isoprene and α-pinene predicts higher SOA levels across Europe, aligning more closely with observations. These findings highlight the need to consider both temperature and the interaction of biogenic VOCs to accurately describe SOA formation, aging, and global burden.
The Excel file contains the data of the figures in the following manuscript and the supplements in the oder of the figure numbers. Gao, L., Manavi, S. E. I., Mohr, C., Song, J., Wu, C., Leisner, T., Pandis, S. N., and Saathoff, H.: Influence of Tropospheric Temperature on the Formation and Aging of Secondary Organic Aerosol from Biogenic Vapor Mixtures, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-270, 2026.
aerosol chemistry and yield as a function of temperarture for mixtures of isoprene and alpha-pinene
Dataset on the manuscript: Influence of Tropospheric Temperature on the Formation and Aging of Secondary Organic Aerosol from Biogenic Vapor Mixtures
Heat-transfer measurements of jets impinging on rough surfaces are scarce because conventional heated‑thin-foil methods confine high‑resolution measurements to smooth walls. This study presents an infrared‑thermography‑based gradient sensor that enables spatially resolved wall‑heat‑flux measurements on thermally thick plates with embedded, statistically homogeneous roughness. The method is validated against direct numerical simulation and established smooth‑wall datasets for Reynolds numbers in the range $5000 \leq Re \leq 30000$ and nozzle-to-plate distances in the range $2 \leq H/D \leq 5$, showing good accuracy and repeatability. Using two roughness scales ($k_{99}/D = 0.04$ and 0.12), we provide the first systematic dataset of local Nusselt‑number distributions for turbulent impinging jets on rough surfaces at Reynolds numbers relevant for practical applications. Roughness is shown to have little effect at low $Re$, but a pronounced heat‑transfer enhancement appears once a combined threshold in roughness height and Reynolds number is exceeded. For the larger roughness, strong augmentation is already observed for $Re \geq 10000$, especially near $r/D \approx 1$ where wall‑jet shear is highest. At higher Reynolds numbers, roughness appears to fundamentally modify the radial heat‑transfer pattern: the secondary peak, typically observed for smooth‑wall impingement, disappears, giving way to a bell‑shaped Nusselt profile, likely governed by altered near‑wall flow dynamics. These findings offer new insight into heat transfer of rough‑wall jet impingement at high $Re$ and establish a validated measurement technique suitable for future studies integrating heat transfer, flow‑field diagnostics, and wall‑shear measurements.
Spatially resolved heat transfer measurements of impinging jets on statistically rough surfaces using an infrared-based gradient sensor
As part of a final thesis, a modular learning resource was developed using H5P. It is designed to support teachers in learning the fundamentals of 3D printing, including preparation, maintenance, troubleshooting, and post-processing. The learning resource can be used flexibly according to individual needs. The folder contains both the completed learning resource and all source files required for future modifications or extensions.
In diesem Ordner befindet sich einmal das fertige Lernmedium als .HTML Datei. Dieses kann von allen Browserfähigen Geräten abgespielt werden, wurde jedoch für Desktop-PC und Laptop optimiert. Daneben sind alle Dateien, die eine Bearbeitung des Medienprodukts ermöglichen abgelegt. Das Medienprodukt wurde mit H5P erstellt.
Im Rahmen einer Abschlussarbeit wurde ein modulares Lernmedium auf Basis von H5P entwickelt. Es vermittelt Lehrkräften grundlegende Inhalte zum Umgang mit dem 3D-Druck, darunter Vorbereitung, Wartung, Instandhaltung, Fehlerbehebung und Nachbereitung. Das Lernmedium kann flexibel und bedarfsgerecht genutzt werden. Der Ordner enthält sowohl das fertige Lernmedium als auch die zugehörigen Quelldateien zur späteren Anpassung oder Erweiterung.
Interaktives Lernangebot zum Grundverständnis und Umgang mit dem 3D-Drucker im schulischen Kontext
Processed micro-tomographic scan of the ant Gnamptogenys moelleri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Psalidomyrmex sallyae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Nachhaltigkeit – dieses Wort begegnet uns heute in nahezu allen Lebensbereichen. Nachhaltigkeit be-schreibt sowohl ein normatives Leitbild als auch ein praktisches Handlungskonzept. Als Leitidee verfolgt Nachhaltigkeit das ethische Prinzip eines verantwortungsbewussten Lebens für heute und morgen. Als Handlungskonzept geht es darum, konkrete Handlungsweisen zu entwickeln, die eine zukunftsfähige Gesellschaft und Umwelt auf den Weg bringen und gleichzeitig die dafür notwendigen Ressourcen erhal-ten und bereitstellen. Der Kerngedanke der Nachhaltigkeit lässt sich prägnant zusammenfassen: Wir dürfen heute nicht auf Kosten von morgen leben! Und zwar in sozialer, ökonomischer und ökologischer Hinsicht.
Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
Implementation and simulation data for the dissertation with the title 'Semi-Analytical Integration in Molecular Dynamics'. The 'Implementation' folder contains the implementations of the leapfrog chebychev and the trigonometric integrator in LAMMPS. The code only works when build with LAMMPS. For a detailed discription of the functionalities see Chapter 6 of the dissertation 'Semi-Analytical Integration in Molecular Dynamics'. The Simulation folder contains the input files for each simulation presented in the dissertation. There is a folder for each simulation with a README file specifying the usage.
Simulation data for 'Semi-Analytical Integration in Molecular Dynamics'
Images including *_ in the name are rotated by 90°. This originates from the process of image acquisition and does not harm the quality of the dataset but can be seen as a data augmentation technique. This can be reversed. Images with "N" in the file name are images without defect whereas images with "P" in the file name are images showing Pittings.
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows images with surface defects in form of so called pittings. So the dataset is evenly split over the classes. Pittings result from surface disruption and can ultimately lead to the breakdown of the component. To keep the availability of machines high it is important to find surface defects in time. The here presented dataset gives researchers and practitioners the possibility to train and test models for the classification of surface defects on machine tool elements.
Ball Screw Drive Surface Defect Dataset for Classification
Die Datei im pdf-Format enthält eine Anleitung zum Bau des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD".
GUARD autosampler - Assembly instructions
This dataset includes 29280 2D images taken from 3D µCT scans of carbon fiber reinforced polyamide 6. They were generated by augmenting (x4) and cutting (x4) of 1830 single 2D images resulting from 18 different specimens of 2 CFRP plaques. The images were used as training data for a generative adversarial network (GAN) which creates similar microstructural images. Please find details in the following publication: Blarr, J.; Klinder, S.; Liebig, W. V.; Inal, K.; Kärger, L.; Weidenmann, K. A.: Deep convolutional generative adversarial network for generation of computed tomography images of heterogeneous low-contrast microstructures. Nature Scientific Reports XXX (2024).
2D images of CT scans of carbon fiber reinforced polyamide 6
Processed micro-tomographic scan of the ant Carebara zengchengensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0004, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0004 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Myrmicinae sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Input instances and result data for the Exact Formulation and Heuristic for the Dynamic Multi-AMR Buffer Reshuffling and Retrieval Problem
Dynamic Multi-AMR Buffer Reshuffling and Retrieval Dataset
Atmosphärische Spurenstoffe und Fernerkundung, Institut für Photogrammetrie und Fernerkundung
Institut für Meteorologie und Klimaforschung Troposphärenforschung
# Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters ## Scripts to train a machine learning model (Histogram based gradient boosting regression with scikitlearn) and calculate SHapley Additive exPlanation (SHAP) values The machine learning model can predict the liquid fraction in different cloud types based on four parameters, namely the cloud top temperature, the sea ice concentration, the dust mixing ratio and the sea salt mixing ratio. More information on the used dataset can be found here: [Dietel et al. 2023](https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2281/) ### Bash-scripts The bash scripts are used to run the python scripts for different cloud types and regions on a cluster. bash-scripts starting with ***GBR_[...]*** (Gradient Boosting Regression) run the python-script ***hist_gbr_subset_final2_with_comments.py*** for different regions (Arctic Ocean (AO), Southern Ocean (SO)) and different cloud types (low-level, mid-level,mid-to-low-level). bash-scripts starting with ***shap_values_***[...] run the python-script ***shap_values-subset-final2_with_comments.py*** to calculate SHAP values based on the trained machine learning models for a 500 000 sample subset of the validation dataset. ### Python scripts ***hist_gbr_subset_final2_with_comments.py*** Python script to train the a Histogram-based Gradient Boosting Regression model using the scikitlearn python package. More detailed information can be found as comments in the scripts. ***shap_values-subset-final2_with_comments.py*** Calculates SHAP values for a 500 000 sample subset of the validation dataset to make the machine learning model explainable. More detailed information can be found as comments in the scripts.
Histogram based gradient boosting regression
Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters
This exemplary dataset was recorded during monitoring the self-assembly of enzymes via dynamic light scattering. See the README.md provided with the data for more details.
Dataset to: "Real-Time Monitoring of Protein Self-Assembly by Dynamic Light Scattering"
Learning to Understand Human Motion by Simulating Muscle Activations
Exploring the intricate dynamics between muscular and skeletal structures is pivotal for understanding human motion. However, acquiring ground truth muscle activation data is resource-intensive and results in a scarcity of datasets. The Muscles in Time (MinT) dataset aims to address this by introducing a large-scale synthetic muscle activation dataset. MinT is created by enriching existing motion capture datasets with muscle activation simulations from biomechanical models using the OpenSim platform, a widely accepted tool in biomechanics and human motion research. Neural networks designed for human motion understanding have historically relied on indirect data, like video or motion capture, similar to prisoners in Plato's cave who see only shadows rather than the true objects. Current systems, despite advances in capturing human motion, do not account for the complex inner mechanics—particularly the muscle activations driving human movement. These activations are key to understanding physical exertion and motion difficulty but are often overlooked due to the limitations of traditional data collection methods such as EMG. To overcome these challenges, our dataset, MinT, incorporates simulations that provide detailed muscle activation information. Starting from simple pose sequences, we extract fine-grained muscle activation timings and interactions within the human musculoskeletal system. MinT contains over nine hours of simulation data, covering 227 subjects and 402 muscle strands, offering a comprehensive and scalable resource for further research into human motion.
Please find additional information about this dataset and its usage under https://simplexsigil.github.io/mint
Institut für Hydromechanik (IFH), Karlsruher Institut für Technologie (KIT), Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
The animation shows the particle motion and the coherent vortical structures in particle-resolved DNS simulations of turbulent open channel flow. Please refer to the accompanying manuscript for the configuration, numerical method and the parameter values: "Investigating the mechanism by which finite-size heavy particles are entrained in turbulent open channel flow over a smooth surface" by T. Bzikadze, M. Weyrauch and M. Uhlmann, (J. Phys.: Conf. Ser., 2026) - [DOI TO BE ADDED when available]. The movie features a temporal sequence of duration corresponding to approximately 20 bulk time units, starting just after inserting the particles into the flow. The visualization shows two different views of the same data, indicating the particles (colored in black when in contact with the wall and in pink when lifted off) as well as a vertical line to indicate their wall distance more clearly. The channel wall is colored with the local streamwise shear-stress, the color indicating its fluctuation around the global average on a colormap from blue to red. The white semi-transparent surfaces are defined by the second invariant of the velocity gradient tensor (Hunt et al., Proc. Summer Prog. CTR, 1988) taking a value equal to five times its r.m.s. value. Note that for clarity the data is only shown for the lower half of the open channel domain, i.e. for the wall-normal distance 0<=y<=h/2, where 'h' is the channel depth.
This mp4 animation should be compatible with many devices.
Animation of particle lift-off in turbulent open channel flow based on data from PR-DNS
Processed micro-tomographic scan of the ant Aenictus paradentatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax mauritanicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Paraparatrechina weissi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex barbatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Scripts for publication in Monthly Weather Review (MWR) by Behrooz Keshtgar, Corinna Hoose and Aiko Voigt
The paper has been accepted for publication in the American Meteorological Society (AMS) journal Monthly Weather Review (MWR). **Author:** Behrooz Keshtgar, IMKTRO, Karlsruhe Institute of Technology, behrooz.keshtgar@kit.edu **The repository contains:** 1-simulations: Bash scripts for retrieving and processing IFS data as initial and lateral boundary conditions for use with the ICON model. Also included are ICON simulation run scripts and simulation log files. 2-preprocessing: Scripts for preparing the ICON simulation data for analysis, including: * remapping_icon_output: Bash scripts for interpolating ICON model output onto different grids. * era5_data_processing: Script for fetching and processing ERA5 data. * calculating_diagnostics: Jupyter notebooks for calculating diagnostics (cyclone tracks, WCB object identification, and PV error growth diagnostics). 3-plots4paper: Jupyter notebooks for the analysis and figures produced and used in the paper. 4-archiving: Bash script for archiving simulation data on the Hierarchical Storage Management (HSM) system at the German Climate Computing Centre (DKRZ). Users will need to adapt the directory paths to their own local infrastructure. The raw ICON simulation outputs are archived on the HSM at the DKRZ. The 1°×1° remapped ICON data used for most of the analysis and figures in this paper are published on RADAR4KIT ((DOI) 10.35097/zq3w0pg313utucnk)
Code repository for the publication "Cloud-Radiative Impact on the Dynamics of Extratropical Cyclones during NAWDEX"
This program is intended to reproduce the results from the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity. " by S. Buchholz, B. Dörich, and M. Hochbruck. The codes generates Figure 2. #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 #### Figure 2 In this folder open a console and run the following commands after each other. 1) Run "python3 run_paper_Strang_N_2pw09.py" 2) Run "python3 run_paper_Strang_N_2pw10.py" 3) Run "python3 run_paper_Strang_N_2pw11.py" After running the calculations, the errors can be found in the folder "results" as tikz-files.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity" by S. Buchholz, B. Dörich, and M. Hochbruck.
Numerical experiments to "On averaged exponential integrators for semilinear wave equations with solutions of low-regularity"
This submission includes raw 19F-MRI data generated for ligand binding characterization, supported by T2-relaxation results for compound screening (IC50 determination by originLab) and reference datasets (in Excel, the hit ranking). Raw MRI data acquired for ligand binding and screening studies. The dataset includes measurements from compressed sensing experiments (capillary and honeycomb setups), reference library acquisitions for BZA, BZD, and MZA, as well as raw data from trypsin primary hit screening and strong ligand validation. Additional raw data related to a CoAD study are also included.
Parallelized 61-sample inhibition screening accelerated by 19F-MRI compressed sensing
State Museum of Natural History Karlsruhe
Interactive 3D model of Lophotettix verhaaghi sp. nov.
This program is intended to reproduce the results from the preprint "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data" by Maximilian Ruff The program is tested with Windows 10 and Python 3.10 and the following version of its modules: numpy - 1.26.3 matplotlib - 3.5.1 tikzplotlib - 0.10.1 Figure 1: Run "run_alpha3.py" Figure 2: Run "run_alpha4.py" Figure 3: Run "run_alpha5.py" Parts of the code relies on on code written by B. Dörich in https://doi.org/10.5445/IR/1000130189.
Modified and updated numerical experiments to "Error analysis of the Strang splitting for the 3D semilinear wave equation with finite-energy data"
Institut für Anorganische Chemie (AOC), Karlsruher Institut für Technologie (KIT), Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
This document contains additional tables for the dissertation of Christian Franz Pachl. All tables supplied in this document are labeled with "B".
Supplementary Information to Exchange-, Non-Covalent- and Second-Sphere Interactions in Lanthanide Coordination Compounds: A Computational and Synthetic Approach
Each folder contains raw data and is structured according to the paper’s work packages.
The rapid discovery of new functional coatings is vital for advancing technologies in healthcare, energy, and environmental protection. These surface materials define how objects interact with their surroundings, enabling antibacterial, antifouling, catalytic, or cell-adhesive functions, yet their development remains slow due to the lack of scalable, high-throughput methods for synthesis and screening of different coatings. Here, we introduce an ultra-high-throughput (UHT) combinatorial strategy for the miniaturized discovery of multifunctional coatings based on polyamine-polyphenol chemistry, a versatile and naturally inspired reaction motif. Polyphenols—over 8,000 identified to date—possess rich redox, optical, and biological activities, but their vast combinatorial potential remains largely untapped. Using the droplet microarray (DMA) platform, we synthesized and screened ≈30,000 polyamine–polyphenolic (PaPp) coatings formed from binary and ternary combinations of 51 polyphenols and 12 polyamines, each produced in 160 nL volumes (<5 mL total reagent use). This ultra-high-throughput workflow enabled the rapid identification of hundreds of previously unknown fluorescent coatings, including over 225 strong green-, blue-, or red-emissive PaPp materials. Systematic redox screening revealed more than 100 highly active metal-reducing coatings, dominated by PaPp combinations containing galloylated or catecholic structures, with the ternary compositions Pa2Pp43Pp44 and Pa2Pp43Pp45 emerging as the strongest reducers. Antibacterial screening uncovered seven PaPp coatings with reproducible activity against Pseudomonas aeruginosa, and subsequent validation on macroscale substrates confirmed up to <1 log CFU reduction against P. aeruginosa and E. coli. Importantly, five coatings exhibited multiple functionalities, including Pa2Pp3, Pa2Pp6, Pa6Pp3, Pa8Pp18, and Pa9Pp18, which combined surface stability, intrinsic fluorescence, metal-reducing activity, antibacterial effects, and compatibility with adherent human cells. Several additional coatings were identified as fluorescent–redox dual-functional materials (e.g., Pa2Pp7, Pa6Pp33, Pa8Pp9, etc.), or redox-active but cell-compatible surfaces, expanding the design space for optically traceable, redox-responsive, or bioactive interfaces. Together, this UHT approach yields the first comprehensive functionality map of polyamine–polyphenolic coatings, revealing previously inaccessible multifunctional materials and demonstrating a scalable strategy for the discovery of surface chemistries with tailored optical, redox, and biological properties.
ultra-high-throughput combinatorial synthesis
Ultra-High-Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays
*.dm4 is an image file to be opened in digital micrograph software (Gatan/AMTEK, Version 3.53.4137.0), proprietary software. *.emd is an image file to be opened in Velox software (ThermoFisher, version Velox 3.13), proprietary software.
Stabilization and properties of fluorinated cubic boron nitride solids
Processed micro-tomographic scan of the ant Pseudomyrmex sp pallidus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hylomyrma balzani, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Lordomyrma dianale, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmicaria sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dorymyrmex aff pyramicus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster tipuna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium hispidum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0032, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0032 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant Colobopsis shohki, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dolichoderus bispinosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Blepharidatta conops, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0011, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0011 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Change Notes: Fixed an error in the discrete Laplacian
This software package contains the implementation of the approximate inverse for 2D linear seismic imaging using the common offset acquisition geometry.
The download package includes a README.md file which contains details on the required Python modules, installation instructions and instructions on how to use the provided scripts
Approximate inversion of a class of generalized Radon transforms - Software package (v1.1)
This dataset contains FAIR records which describe the laboratory equipment utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Laboratory Equipment for Tribological Experiments - Sapphire on Copper - FAIR Dataset
This dataset contains FAIR records which describe the software utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Software for Tribological Experiments - Sapphire on Copper - FAIR Dataset
# Pol-InSAR-Island dataset: This folder contains multi-frequency Pol-InSAR data acquired by the F-SAR system of the German Aerospace Center (DLR) over Baltrum and corresponding land cover labels. Data structure: - data - FP1 # Flight path 1 - L # Frequency band - T6 # Pol-InSAR data - incidence.bin # Incidence angle [rad] - kz_*.bin ' Vertical wavenumber for vv, hv, vh and vv polarization [rad/m] - pauli.bmp # Pauli-RGB image of the master scene - S - ... - FP2 # Flight path 2 - ... - label # Land cover label - FP1 # Flight path 1 - label_train.bin # Geocoded training label - label_test.bin # Geocoded test label - ... - FP2 # Flight path 2 - ... Data format: The data is provided as flat-binary raster files (.bin) with an accompanying ASCII header file (*.hdr) in ENVI-format. For Pol-InSAR data the real and imaginary components of the diagonal elments and upper triangle elements of the 6 x 6 coherency matrix are stored in seperated files (T11.bin, T12_real.bin, T12_imag.bin,...) Land cover labels contained in label_train.bin and label_test.bin are encoded as integers using the following mapping: 0 - Unassigned 1 - Tidal flat 2 - Water 3 - Coastal shrub 4 - Dense, high vegetation 5 - White dune 6 - Peat bog 7 - Grey dune 8 - Couch grass 9 - Upper saltmarsh 10 - Lower saltmarsh 11 - Sand 12 - Settlement
Pol-InSAR-Island is the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) benchmark dataset for land cover classification. The strong scientific interest and the accompanying rapid development of machine learning, in particular deep learning, has led to a significant improvement in automatic image interpretation in recent years. Research generally focuses on classification or segmentation of optical images, but there are already several successful approaches that apply deep learning techniques to the analysis of PolSAR or Pol-InSAR images. While the success of learning-based methods for the analysis of optical images has been strongly driven by public benchmark datasets such as ImageNet and Cityscapes, which contain a large number of annotated training and test data, comparable datasets for the PolSAR and especially the Pol-InSAR domain are almost non-existent. To fill this gap, this work presents a new multi-frequency Pol-InSAR benchmark dataset for training and testing learning-based methods. The dataset contains Pol-InSAR data acquired in S- and L-band by DLR’s airborne F-SAR system over the East Frisian island Baltrum. To allow interferometric analysis a repeat-pass configuration with a time offset of several minutes and a vertical baseline of 40 m is used. The image data are given as geocoded 6 × 6 coherency matrices on a 1 m × 1 m grid and is labeled by 12 different land cover classes. The Pol-InSAR-Island dataset is intended to improve the development of new learning-based approaches for multi-frequency Pol-InSAR classification. To ensure the comparability of various approaches, a defined division of the data into training and testing sections is given. For more information, refer to the corresponding research article: https://doi.org/10.1016/j.ophoto.2023.100047 Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2) is the updated version of the dataset. The PolSAR as well as the label images remain unchanged, but additional files containing the corresponding incidence angle and the vertical wavenumbers are added.
Pol-InSAR-Island - A Benchmark Dataset for Multi-frequency Pol-InSAR Data Land Cover Classification (Version 2)
Dataset for the paper "Sample-accessible multi-resonance X-band EPR triple ring resonator"
Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT), Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
this link is for the raw and processed TEM data belonging to the article. The raw data can be open via Velox software from Thermofisher.
Layered high-entropy sulfides: boosting electrocatalytic performance for hydrogen evolution reaction by cocktail effects
Python code for analyzing the pore diameter of biocatalytic foams microscopy images.
Pythoncode used in: "Biocatalytic Foams from Microdroplet-Formulated Self-Assembling Enzymes"
The data comprise the composition-dependent ice-active fractions (f_ice) in the ammonium sulfate-letovicite-ammonium bisulfate (AS-LET-AHS) system, measured with the AIDA cloud chamber and the two continuous flow diffusion chambers (CDFCs) INKA and mINKA. The provided zip-file contains the two directories "Fig6" and "Fig7" and the additional text file “info.txt”, which explains the contents of the directories and the syntax of the file names. All data tables can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
Data sets for the research article "Influence of the neutralization degree on the ice nucleation ability of ammoniated sulfate particles" by Bertozzi et al. (2024) in the Journal of Geophysical Research (Atmospheres)
These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. You can find the paper [here](https://doi.org/10.1007/s41060-024-00527-8) and the code [here](https://github.com/jakob-bach/alternative-feature-selection). See the `README` for details. The datasets used in our study (which we also provide here) originate from [PMLB](https://epistasislab.github.io/pmlb/). The corresponding [GitHub repository](https://github.com/EpistasisLab/pmlb) is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Please see the file `LICENSE` in the folder `datasets/` for the license text.
# Experimental Data for the Paper "Alternative feature selection with user control" These are the experimental data for the paper> Bach, Jakob, and Klemens Böhm. "Alternative feature selection with user control" published in the [International Journal of Data Science and Analytics](https://link.springer.com/journal/41060) in 2024. Check our [GitHub repository](https://github.com/Jakob-Bach/Alternative-Feature-Selection) for the code and instructions to reproduce the experiments. The data were obtained on a server with an `AMD EPYC 7551` CPU (32 physical cores, base clock of 2.0 GHz) and 128 GB RAM. The operating system was `Ubuntu 20.04.6 LTS`. The Python version was `3.8`. With this configuration, running the experimental pipeline (`run_experiments.py`) took about 255 h. The commit hash for the last run of the experimental pipeline (`run_experiments.py`) is [`2212360a32`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/2212360a320121862556bc8d54da45cb6dc8ee93). The commit hash for the last run of the evaluation pipeline (`run_evaluation_journal.py`) is [`758b71e70b`](https://github.com/Jakob-Bach/Alternative-Feature-Selection/tree/758b71e70b941a54c88bda17a5591698dafcc03c). We also tagged both commits (`run-2023-06-23` and `evaluation-2024-03-19`). The experimental data are stored in two folders, `datasets/` and `results/`. Further, the console output of `run_evaluation_journal.py` is stored in `Evaluation_console_output.txt` (manually copied from the console to a file). In the following, we describe the structure and content of each data file. ## `datasets/` These are the input data for the experimental pipeline `run_experiments.py`, i.e., prediction datasets. The folder contains one overview file, one license file, and two files for each of the 30 datasets. The original datasets were downloaded from [PMLB](https://epistasislab.github.io/pmlb/) with the script `prepare_datasets.py`. Note that we do not own the copyright for these datasets. However, the [GitHub repository of PMLB](https://github.com/EpistasisLab/pmlb), which stores the original datasets, is MIT-licensed ((c) 2016 Epistasis Lab at UPenn). Thus, we include the file `LICENSE` from that repository. After downloading from `PMLB`, we split each dataset into the feature part (`_X.csv`) and the target part (`_y.csv`), which we save separately. Both files are CSVs only containing numeric values (categorical features are ordinally encoded in `PMLB`) except for the column names. There are no missing values. Each row corresponds to a data object (= instance, sample), and each column corresponds to a feature. The first line in each CSV contains the names of the features as strings; for `_y.csv` files, there is only one column, always named `target`. `_dataset_overview.csv` contains meta-data for the datasets, like the number of instances and features. ## `results/` These are the output data of the experimental pipeline in the form of CSVs, produced by the script `run_experiments.py`. `_results.csv` contains all results merged into one file and acts as input for the script `run_evaluation_journal.py`. The remaining files are subsets of the results, as the experimental pipeline parallelizes over 30 datasets, 5 cross-validation folds, and 5 feature-selection methods. Thus, there are `30 * 5 * 5 = 750` files containing subsets of the results. Each row in a result file corresponds to one feature set. One can identify individual search runs for alternatives with a combination of multiple columns, i.e.: - dataset `dataset_name` - cross-validation fold `split_idx` - feature-selection method `fs_name` - search method `search_name` - objective aggregation `objective_agg` - feature-set size `k` - number of alternatives `num_alternatives` - dissimilarity threshold `tau_abs` The remaining columns mostly represent evaluation metrics. In detail, all result files contain the following columns: - `selected_idxs` (list of ints, e.g., `[0, 4, 5, 6, 8]`): The indices (starting from 0) of the selected features (i.e., columns in the dataset). Might also be an empty list, i.e., `[]` if no valid solution was found. In that case, the two `_objective` columns and the four `_mcc` columns contain a missing value (empty string). - `train_objective` (float in `[-1,1]`): The training-set objective value of the feature set. Three feature-selection methods (*FCBF*, *MI*, *Model Importance*) have the range `[0,1]`, while two methods (*mRMR*, *Greedy Wrapper*) have the range `[-1,1]`. - `test_objective` (float in `[-1,1]` ): The test-set objective value of the feature set. - `optimization_time` (non-negative float): Time for alternative feature selection in seconds. The interpretation of this value depends on the feature-selection method. For white-box feature-selection methods, this value corresponds to one solver call. For wrapper feature selection, we record the total runtime of the *Greedy Wrapper* algorithm, which calls the solver and trains prediction models multiple times. - `optimization_status` (int in `{0, 1, 2, 6}`): The status of the solver; for wrapper feature selection, this is only the status of the last solver call and only refers to a satisfiability problem rather than the (black-box) optimization problem. - 0 = (proven as) optimal - 1 = feasible (valid solution, but might be suboptimal) - 2 = (proven as) infeasible - 6 = not solved (no valid solution found, but one might exist) - `decision_tree_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `decision_tree_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a decision tree trained with the selected features. - `random_forest_train_mcc` (float in `[-1,1]`): Training-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `random_forest_test_mcc` (float in `[-1,1]`): Test-set prediction performance (in terms of Matthews Correlation Coefficient) of a random forest trained with the selected features. - `k` (int in `{5, 10}`): The number of features to be selected. - `tau_abs` (int in `{1, ..., 10}`): The dissimilarity threshold for alternatives, corresponding to the absolute number of features (`k * tau`) that have to differ between feature sets. - `num_alternatives` (int in `{1, 2, 3, 4, 5, 10}`): The number of desired alternative feature sets, not counting the original (zeroth) feature set. A number from `{1, 2, 3, 4, 5}` for simultaneous search, but always `10` for sequential search. - `objective_agg` (string, 2 different values): The name of the quality-aggregation function for alternatives (`min` or `sum`). Min-aggregation or sum-aggregation for simultaneous search but always sum-aggregation for sequential search. (In fact, sequential search only optimizes individual feature sets anyway, so the aggregation does not matter for the search.) - `search_name` (string, 2 different values): The name of the search method for alternatives (`search_sequentially` or `search_simultaneously`). - `fs_name` (string, 5 different values): The name of the feature-selection method (`FCBFSelector`, `MISelector`, `ModelImportanceSelector` (= *Model Gain* in the paper), `MRMRSelector`, or `GreedyWrapperSelector`). - `dataset_name` (string, 30 different values): The name of the `PMLB` dataset. - `n` (positive int): The number of features of the `PMLB` dataset. - `split_idx` (int in `[0,4]`): The index of the cross-validation fold. - `wrapper_iters` (int in `[1,1000]`): The number of iterations in case wrapper feature selection was used, missing value (empty string) in the other cases. This column does not exist in result files not containing wrapper results. You can easily read in any of the result files with `pandas`: ```python import pandas as pd results = pd.read_csv('results/_results.csv') ``` All result files are comma-separated and contain plain numbers and unquoted strings, apart from the column `selected_features` (which is quoted and represents lists of integers). The first line in each result file contains the column names. You can use the following code to make sure that lists of feature indices are treated as such (rather than strings): ```python import ast results['selected_idxs'] = results['selected_idxs'].apply(ast.literal_eval) ```
Experimental Data for the Paper "Alternative feature selection with user control"
This dataset contains FAIR records which describe the tribological specimens utilized in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Tribological Specimens for Tribological Experiments v2 - Sapphire on Copper - FAIR Dataset
In our report, we described a case study where we evaluate our approach for correctness quantification using Palladio and KeY. Here, we publish the corresponding Palladio Component Model files as well as the generated source code, in order to make them publicly available.
# README: Case Study (Age of Maturity) This archive contains the Palladio artifacts of the case study "AgeOfMaturity" of the Technical-Report "Model-driven Quantification of Correctness with Palladio and KeY" (DOI: 10.5445/IR/1000128855). The structure of this archive is as follows: * The folder "PalladioModels" contains the Palladio Component Model Eclipse Project of the "AgeOfMaturity" use case * The folder "DependencySolverResults" contains output files with the results of the solved "AgeOfMaturity" case study as described in the report * The folder "GeneratedJavaCode" contains Java-Code generated with the [PCM2Java](https://github.com/KASTEL-SCBS/PCM2Java) Project * The folder "PalladioDiagrams" contains the exported model diagrams of the "AgeOfMaturity" case study created for the technical report The usage of the Palladio Editor and the DependencySolver is explained in the following. ## Setup For usage of the artifacts, an Eclipse IDE with the installed Palladio Simulator is necessary. * Download and run a clean [Release of the **Eclipse Modeling Tools** 2020-06 IDE](https://www.eclipse.org/downloads/packages/release/2020-06/r/eclipse-modeling-tools) * Install the Palladio Simulator by using the [Eclipse Market Place](https://marketplace.eclipse.org/content/palladio-43-eclipse-2020-06) or the [Palladio Update Site](https://updatesite.palladio-simulator.com/palladio-build-updatesite/releases/latest/). Install at least the Palladio Component Model, the "Analyzer: Analytical Solver" and the Editors. ## Viewing and Modifying the Models * Import the Palladio AgeOfMaturity Project: * Open the Import Window in Eclipse (File --> Import --> General --> Existing Projects into Workspace) * In the opened Import Windows select the path to the "edu.kit.kastel.scbs.ageofmaturity" Project in the PalladioModels Folder. * Select "Finish" * Open the files with the suffix "_diagram", to view the models with the installed GMF Editors. ## Running the DependencySolver * Create a PCM Solver Run Configuration: (Run --> Run Configurations --> Call Context Menu for PCM Solver --> New Configuration) * Select the created Run Configuration * Configure Architecture Models in the Configuration (Select "Architecture Model(s)" Tab) * Insert Configuration Name * Under "Allocation File" insert the AgeOfMaturity.allocation file path (e.g. by using the "Workspace..." menu) * Under "Usage File" insert the AgeOfMaturity.allocation File Path (e.g. by using the "Workspace..." menu) * Configure the Solver (Select "Solver" Tab) * Select "SRES (Stochastic Regular Expression Solver)" * Uncheck "Use of Expression Model File" checkbox * Provide Path to an Output file in "Expression Model File" * Optional: Configure the Analysis to store Temporary Data(Select "Analysis Configuration" Tab) * Provide Location for storing the temporal data: Under "Location of temporary data", uncheck "use default location" checkbox and provide path to the location * Uncheck the "Delete temporary data after analysis" checkbox. ## Result Interpretation The computed usage/output shows the folded probabilities for each branch in the usage scenario and the visited service effect specifications. The probability to enter a critical section (see technical report) under the given usage model can be retrieved through inspection of the entries for the inserted branches for the critical sections.
Quantification of Correctness with Palladio and KeY: Case Study Data
Noise and vibration emissions from electric vehicle gearboxes are greatly influenced by the properties of the gearbox housing. Reducing the weight of the housing requires to evaluate the impact of lightweight design on noise and vibration performance. In this paper, the effect of different rib arrangements on the noise and vibration performance of a lightweight transmission is investigated. The ribs allow to increase local stiffness while still reducing the total mass. The local stiffness is derived in different areas of the housing to determine potential areas of optimization. Then ribs on the surface of the gearbox housing in different arrangements and positions are applied to the model and their influence on the vibrational behaviour and acoustic emission are investigated numerically.
Please read the read-me file. The authors Colangeli, Claudio; Cuenca, Jacques and Kucukcoskun, Korcan are affiliated with the organization Siemens Digital Industries Software.
Effect of Lightweight Design on the NVH Behavior of an Electric Vehicle Gearbox Housing
COCCON column-averaged greenhouse gas abundances collected in the framework of MOSES ScaleX Campaign 2019
Column averaged greenhouse gas abundances have been measured with a COCCON EM27/SUN FTIR spectrometer in the framework of the MOSES ScaleX campaign in the period May – July 2019. The processing of the spectra has been performed at the COCCON CPDHF (Central Processing and Data Handling Facility) operated by KIT. Abundances are reported for water vapour, carbon dioxide, methane, and carbon monoxide.
MOSES ScaleX COCCON EM27/SUN Remote Sensing Greenhouse Gases
ANDeS: An automated nanoliter droplet selection and collection device [Gesperrt]
The files contain the precipitation, Integrated Water Vapor (IWV) and specific humidity data from the COSMO model for the mentioned publication
Model data to "The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6" by Caldas-Alvarez et al., (2021)
This code is the basis of the publication "Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany" to be published in Natural Hazards and Earth System Sciences. The scripts range from identifying events with fixed or varying durations to the identification of the degree of clustering as well as cluster periods.
Prerequisites: Daily timeseries of (impact) data. 1_event_identification: Allows to identify distinct events from daily resolved timeseries. 2_precipitation_categorization and 2_wind_categorization: Allows to create distinct meteorological categories from generalized "flood" or "wind" impact data (large-scale storms, convective gusts, stratiform precipitation, mixed precipitation, and convective precipitation). 3_combination_hazards: Allows to decluster hazards so no artificial clusters on the scale of days are created 4_RipleyK and 4_counting: Allow to assess the degree of clustering vs. the number and timing of clusters, respectively
Code for Küpfer et al. 2025 (NHESS): Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany
Processed micro-tomographic scan of the ant Formica exsectoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole indica, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Monomorium hiten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys benten, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Sericomyrmex mayri, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Ocymyrmex sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Produktentwicklung und Produktdesign sind ein Bereich in dem Nachhaltigkeit als Handlungskonzept wirksam wird. Unser moderner Lebensstil deckt unsere Bedürfnisse wie Essen, Wohnen, Mobilität und Unterhaltung vor allem auf Basis von Produkten und Dienstleistungen. Pro Kopf bewohnt in Deutschland eine Person 47,4 m2, ist im Schnitt 39 km täglich unterwegs und isst ca. 679 kg Nahrungsmittel im Jahr. Dies hat einen großen wirtschaftlichen und sozialen Nutzen, aber auch beträchtliche negative Auswirkungen auf die Umwelt. Dabei ist eine zentrale Herausforderung: wie können Produkte nachhaltiger werden?
Nachhaltige Produktentwicklung und Ökodesign
Processed micro-tomographic scan of the ant Nylanderia sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Temnothorax rottenbergii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Harpegnathos saltator, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Daceton armigerum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pheidole ochracea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Constant Normal Load #0017, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Constant Normal Load n0017 - Tribological Experiments - Sapphire on Copper - FAIR Dataset
Processed micro-tomographic scan of the ant OUTGROUP_Chalybion japonicum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.3.0
Processed micro-tomographic scan of the ant Pheidole sp flavens group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster cf araneoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Release notes: https://git.scc.kit.edu/mpp/mpp/-/tags/3.1.3
Processed micro-tomographic scan of the ant Leptogenys chinensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pogonomyrmex desertorum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Weil sich die globale und lokale Klimaproblematik verschärft, wird zunehmend von sogenannten Nachhaltigkeitsdilemmata gesprochen. Im engeren Sinne ist ein Dilemma eine Entscheidungssituation zwischen (mindestens) zwei Alternativen, in der jede Entscheidung negative Konsequenzen nach sich zieht und eine Priorisierung der Auswahloptionen nicht eindeutig begründbar ist. Nachhaltigkeitsdilemmata treten als komplexe Entscheidungssituationen, in denen soziale, ökonomische und ökologische Aspekte berücksichtigt werden müssen, auf verschiedenen Ebenen von Nachhaltigkeitsstrategien auf. Bei konkreten Maßnahmen finden sie sich in strategische und moralische Konflikte, die durch unvollständiges Wissen erschwert werden.
Processed micro-tomographic scan of the ant Kalathomyrmex emeryi, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neoponera crenata, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Hypoponera foreli, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia ryukyuensis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Stigmatomma sakaii, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus mitis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetraponera binghami, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Neivamyrmex nigrescens, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myopias sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Overview of climate adaptation measures for the research project ‘Development of planning tools for climate protection and climate adaptation in overall spatial planning using remote sensing’. The project was commissioned by the Hessian Ministry of Economics, Energy, Transport, Housing and Rural Affairs (HMWVW).
Übersicht der Klimaanpassungsmaßnahmen zum Forschungsprojekt "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Die Maßnahmentabelle ist Teil der Veröffentlichungen des Forschungsprojektes "“Entwicklung von Planungshilfen für Klimaschutz und Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung“, und bietet die Referenz für die Kapitel zu Klimaanpassungsmaßnahmen für den Abschlussbericht sowie den Leitfaden. Auftraggeber ist das Hessische Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und Ländlichen Raum (HMWVW).
Übersicht der Maßnahmentypen zur Klimaanpassung in der räumlichen Gesamtplanung mittels Fernerkundung_Juni-2025
We present high resolution measurements of trace species (e.g.: O3, H2O, HNO3, PAN, C2H6, HCOOH, NH3, BrONO2, ClONO2) in the Upper Troposphere and Stratosphere from the Gimballed Limb Observer for Radiance Imaging of the Atmosphere Balloon version (GLORIA-B) during the HEMERA campaign with base in Timmins, Ontario, Canada, on board of a high altitude stratospheric research balloon (operated by CNES) 2022.
Processed micro-tomographic scan of the ant Temnothorax xanthos, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Agraulomyrmex meridionalis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Cataulacus sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster lepida, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Dacatria templaris, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Strumigenys stenorhina, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
These are raw data of the manuscript titled "A cryogen-free, semi-automated apparatus for bullet-dynamic nuclear polarization with improved resolution", submitted to Magnetic Resonance for peer review.
NMR 1-13C Experiments on hyperpolarized pyruvic acid (TopSpin data)
rem- und STEM-Bilder; Reibungsrohdaten, EBSD- und TKD-Rohdaten; EDX-Rohdaten
Rohdaten zu Manuskript Antje Dollmann et al.; November 2019
The data was processed using TopSpin software from Bruker, Germany
Direct Chiral discrimination with NMR: Experiment Dataset
Processed micro-tomographic scan of the ant Dorymyrmex sp 1 insanus group, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Acromyrmex lobicornis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Apoidea sp , scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Datensatz zu der Publikation "An NMR-compatible microfluidic platform enabling in situ electrochemistry". DOI: 10.1039/D0LC00364F
Dataset to the publication 'An NMR-compatible microfluidic platform enabling in situ electrochemistry'
Processed micro-tomographic scan of the ant Rogeria cf belti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Myrmelachista nodigera, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Discothyrea banna, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Kristallisation einer Hexadecan-in-Wasser Emulsion unter dem Polarisationsmikroskop
Processed micro-tomographic scan of the ant Patagonomyrmex angustus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Tetramorium pacificum, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Bothroponera fugax, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This is a guide to generate the figures that have been used in the work> Inverse medium scattering for a nonlinear Helmholtz equation by Roland Griesmaier, Marvin Knöller and Rainer Mandel. You find all needed Matlab files to generate the figures. An overview: -evaluategfun_z is supposed to generate the Herglotz density g, dependent on a possible shift z\\in R^2 -Finalplots plots the figures at the end of the computation -funhandle_zAbs evaluates the function handle corresponding to the factorization method -funhanlde_zReal evaluates the function handle corresponding to the monotonicity method -getc and ToepPhi are used to evaluate the Toeplitz matrix in order to evaluate the 2d convolution from the nonlinear Lippmann Schwinger equation. Convolution is performed by using the 2d Fourier transform. -getUi_z generates incoming Herglotz fields, dependent on a possible shift z\\in R^2 -mycon is the constraint used in the optimization -NLHH evaluates the far field given an incoming field. This function uses a fixed point iteration arising from the nonlinear Lippmann Schwinger equation. -nonlinear_qh2_scaled gives the (scaled) function handle corresponding to a kite made of fused silica. The scripts Numerical_Example_Fac.m and Numerical_Example_Mon.m start the reconstruction of the kite using the factorization and the monotonicity method, respectively. The computations have been carried out on a Cluster using 32 Cores. Generating an example from scratch takes approximately 4 days. Computations have been carried out using the Matlab 2018a version. The code uses parallelization from the Matlab Parallelization Toolbox. The code uses optimization from the Matlab Optimization Toolbox.
Numerical experiments to "Inverse medium scattering for a nonlinear Helmholtz equation"
This dataset contains the electric power consumption of 28 German companies in 15 minutes resolution. The data was adjusted for inconsistencies in the daylight saving time transitions. Other inconsistencies and errors were not eliminated. The data were collected by power utilities for billing purposes and covers the years 2014 and 2018. The companies provided the data to the C/sells the project. The authors want to thank Wolff and Müller Energy for providing the data. Further, the Germany Federal Ministry for Economic Affairs and Energy for funding and support. This research was partly financed by the Smart Energy Showcases - Digital Agenda for the Energy Transition (SINTEG) program. All values are mean power values in kW in the 15 minute intervals.
Electricity consumption of 28 German companies in 15-min resolution
Processed micro-tomographic scan of the ant Lasius fuliginosus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Der Datensatz beinhaltet die Simulationen des Papers "Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode". DOI: 10.1007/s00158-020-02558-8
Dataset to the publication 'Fiber bundle topology optimization of hierarchical microtextures for wetting behavior in Cassie-Baxter mode'
Processed micro-tomographic scan of the ant Camponotus mirabilis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Pseudomyrmex spinicola, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia amia, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This code was used for the numerical experiments in the preprint (CRC Preprint 2021/12; URL: https://www.waves.kit.edu/downloads/CRC1173_Preprint_2021-12.pdf) and in the paper "Exponential integrators for quasilinear wave-type equations" by B. Dörich and M. Hochbruck.
This program is intended to reproduce the results from the preprint "Exponential integrators for quasilinear wave-type equations" by Benjamin Dörich and Marlis Hochbruck The codes generates the lines in Figure 1 #### Requirements The program is tested with 1) Ubuntu 16.04.7 LTS and Python 3.7.6 and the following version of its modules: - numpy - 1.15.4 - scipy - 1.4.1 - matplotlib - 3.2.1 - tikzplotlib - 0.9.6 - dolfin - 2018.1.0 - fenics - 2018.1.0 2) Ubuntu 18.04.5 LTS and Python 3.6.9 and the following version of its modules: - numpy - 1.19.2 - scipy - 1.5.1 - matplotlib - 3.3.2 - tikzplotlib - 0.9.4 - dolfin - 2019.2.0.dev0 - fenics - 2019.2.0.dev0 #### Figure 1 In the folder "DoeH21_quasilinear" open a console and run the following commands after each other. 1) Run "python3 1_generate_initial_matrices.py" 2) Run "python3 2_paper_run_reference_solution.py" 3) Run "python3 3_paper_run_Euler.py" 4) Run "python3 4_paper_run_midpoint.py" After running the calculations, the errors can be found in the folder "DoeH21_quasilinear/extracted_data/". (a) settings_* contains the information of the config file (b) infos_* contains the computed errors (c) plot_* contains a tikz-file which gives the plot for the Euler and the midpoint rule separately.
Numerical experiments to "Exponential integrators for quasilinear wave-type equations"
Processed micro-tomographic scan of the ant Allomerus decemarticulatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Fraunhofer Institute for Mechanics of Materials
Dieser Datensatz ist eine RO Crate Kollektion (ZIP-File) von ausgewerteten Daten / Analysen aus tribologischen Experimenten einer LDS Spritzschicht in Kontakt mit 6 unterschiedlichen diamantartigen Kohlenstoffschichten (DLC). Die Messungen wurden als Funktion der Gleitgeschwindigkeit und der Normalkraft durchgeführt und die Daten automatisiert mit Matlab analysiert.
Processed micro-tomographic scan of the ant Temnothorax unifasciatus, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Axinidris hypoclinoides, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant OUTGROUP_Tachypompilus analis, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Camponotus hyatti, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Nylanderia sakurae, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
Processed micro-tomographic scan of the ant Aphaenogaster subterranea, scanned at KIT Light Source. This dataset is part of the open-source digitization project ‘Antscan’, with a database consisting of thousands of scanned ethanol-preserved ant samples from museums and personal collections worldwide.
This dataset contains FAIR records which describe the tribological experiment Copper under Variable Normal Load #0025, which took place in the Materials Tribology Lab at the Karlsruhe Institute of Technology.
Copper under Variable Normal Load n0025 - Tribological Experiments - Sapphire on Copper - FAIR Dataset