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PROCESS CONDITIONS (16 columns)\n   - Temperature: T_reaction_C (typically 200-400°C)\n   - Time: t_residence_min, t_ramp_min\n   - Reactor: process_subtype, reactor, atmosphere\n   - Medium: solvent_or_medium, IC_feed_wt_pct_slurry, water_biomass_ratio_kg_kg\n   - Pressure: pressure_reaction_MPa\n   - Catalyst: catalyst, cat_biomass_ratio_kg_kg\n   - Other: heating_rate_C_per_min, stirring_rpm, yield_basis, separation_method\n\n5. YIELDS (7 columns)\n   - Mass yields: Yield_biooil_wt_pct, Yield_char_wt_pct, Yield_aqueous_wt_pct, Yield_gas_wt_pct, Yield_gas_water_wt_pct\n   - Energy yields: Energy_yield_biooil_pct, Energy_yield_char_pct\n\n6. BIO-OIL PROPERTIES (9 columns)\n   - Elemental: C_biooil_wt_pct, H_biooil_wt_pct, O_biooil_wt_pct, N_biooil_wt_pct, S_biooil_wt_pct\n   - Ratios: O_C_biooil_molar, H_C_biooil_molar\n   - Energy: HHV_biooil_MJ_per_kg\n   - Carbon recovery: Carbon_yield_biooil_pct\n\n7. CHAR PROPERTIES (9 columns)\n   - Elemental: C_char_wt_pct, H_char_wt_pct, O_char_wt_pct, N_char_wt_pct, S_char_wt_pct\n   - Ratios: O_C_char_molar, H_C_char_molar\n   - Energy: HHV_char_MJ_per_kg\n   - Carbon recovery: Carbon_yield_char_pct\n\n8. TRACKING (24 columns)\n   - Method documentation: C_method, O_method, OC_method, HC_method, S_method, etc.\n   - Imputation flags: LRI_imputed, HHV_feedstock_imputed, Lignin_imputed, cellulose_imputed, hemicellulose_imputed, Ash_imputed\n   - Quality notes: C_Note, O/C_Note, H/C_Note, t_note\n   - Source tracking: LRI_imputed_source\n\n9. OTHER / DERIVED DESCRIPTORS (76 columns)\n   - Compositional: LCH_total_wt_pct, Lignin_share_pct, Holo_share_pct, sum_LCH_wt_pct, sum_CHONSAsh_wt_pct\n   - Quality flags: LCH_closure_flag, Ash_adjusted\n   - Imputed values: LCH_total_imputed_wt_pct, Lignin_imputed_from_LCH, cellulose_imputed_from_LCH, hemicellulose_imputed_from_LCH\n   - Readiness indices: LRI_dd, CeRI_dd, HeRI_dd, HRI_dd, CRI_dd, HeRI_comp_dd\n   - Fractions: CeFrac_dd, L_share_idx, CeFrac_idx, CeFrac_mb\n   - Estimates: Lignin_HHV_est, Lignin_C_est, Lignin_est, Holocellulose\n   - Normalized features: inv_OC, inv_HC, ash_inv, C_norm, HHV_norm\n   - Performance indices: LPI, HoPI\n   - Source tracking for all imputed/derived features\n\nDATA COMPLETENESS BY GROUP\n---------------------------\nCore Features (>98% complete):\n- C_feed_wt_pct: 100.0%\n- O_feed_wt_pct: 100.0%\n- H_feed_wt_pct: 98.7%\n- T_reaction_C: 99.97%\n- t_residence_min: 99.65%\n- O_C_feed_molar: 100.0%\n- H_C_feed_molar: 100.0%\n- HHV_feed_MJ_per_kg: 100.0%\n- Family_std: 100.0%\n\nCompositional Features:\n- Lignin_feed_wt_pct: 96.18%\n- Cellulose_feed_wt_pct: 95.61%\n- Hemicellulose_feed_wt_pct: 95.61%\n- Ash_feed_wt_pct: 99.68%\n- N_feed_wt_pct: 78.53%\n- S_feed_wt_pct: 54.78%\n\nProcess Conditions:\n- reactor: 92.5%\n- solvent_or_medium: 99.86%\n- IC_feed_wt_pct_slurry: 98.08%\n- water_biomass_ratio_kg_kg: 90.74%\n- atmosphere: 65.88%\n- heating_rate_C_per_min: 24.51%\n- stirring_rpm: 21.18%\n\nProduct Yields:\n- Yield_biooil_wt_pct: 80.67%\n- Yield_char_wt_pct: 71.41%\n- Yield_gas_wt_pct: 30.73%\n- Yield_aqueous_wt_pct: 26.1%\n\nBio-oil Properties:\n- C_biooil_wt_pct: 36.15%\n- HHV_biooil_MJ_per_kg: 36.61%\n- H_biooil_wt_pct: 35.07%\n- O_biooil_wt_pct: 34.09%\n- Carbon_yield_biooil_pct: 32.39%\n- Energy_yield_biooil_pct: 31.76%\n\nChar Properties:\n- HHV_char_MJ_per_kg: 25.24%\n- H_char_wt_pct: 21.31%\n- C_char_wt_pct: 20.82%\n- O_char_wt_pct: 20.8%\n- Energy_yield_char_pct: 22.2%\n- Carbon_yield_char_pct: 19.04%\n\nDATA TYPES\n----------\n- String (categorical): 44 columns\n  Examples: Feedstock, Family_std, reactor, catalyst, process_type, DOI\n  \n- Float (continuous): 91 columns\n  Examples: T_reaction_C, t_residence_min, Yield_biooil_wt_pct, C_feed_wt_pct\n  \n- Integer: 1 column\n  Examples: year\n  \n- Boolean (flags): 9 columns\n  Examples: Ash_adjusted, HHV_feedstock_imputed, Lignin_imputed, N_imputed\n\nUNITS OF MEASUREMENT\n--------------------\nTemperature: °C (degrees Celsius)\nTime: min (minutes)\nPressure: MPa (megapascals)\nEnergy: MJ/kg (megajoules per kilogram)\nComposition: wt% (weight percent, dry basis unless specified)\nYields: wt% (weight percent of initial dry feedstock)\nRatios: dimensionless or molar ratios\nSpeed: rpm (revolutions per minute)\nHeating rate: °C/min (degrees Celsius per minute)\n\nKEY INDICES AND DERIVED FEATURES\n---------------------------------\n1. Lignin Readiness Index (LRI):\n   Formula: (Lignin/100 + C/60 + HHV/22 + (1/(O/C))/2 + (1/(H/C))/2) / 6\n   Purpose: Composite indicator of feedstock suitability for lignin-focused conversion\n\n2. O/C and H/C Ratios:\n   Van Krevelen diagram coordinates for characterizing biomass and products\n\n3. LCH Closure:\n   Sum of Lignin + Cellulose + Hemicellulose with quality flags\n\n4. Carbon and Energy Recovery:\n   Mass balance tracking for carbon and energy distribution\n\n5. Readiness Indices (LRI_dd, CeRI_dd, HeRI_dd):\n   Data-driven indices for component-specific conversion prediction\n\nQUALITY CONTROL FEATURES\n-------------------------\n- LCH_closure_flag: Polymer mass balance validation\n- sum_CHONSAsh_wt_pct: Elemental mass balance check\n- Imputation tracking: Boolean flags for all imputed values\n- Method documentation: Source/calculation method for derived values\n- Provenance: Complete source publication tracking\n\nDATA NORMALIZATION\n------------------\n- All yields normalized to specified basis (dry, daf, as-received)\n- Elemental compositions on dry or dry-ash-free basis\n- Consistent unit conversions applied across all sources\n- Standardized feedstock family classification\n- Harmonized column naming convention\n\nIMPUTATION METHODOLOGY\n----------------------\n- Random Forest models for continuous features\n- Family-specific median values as fallback\n- Formula-based calculation for stoichiometric features\n- All imputations documented with method flags and source columns\n- ~4% of lignocellulosic composition imputed\n\nSPECIAL NOTES\n-------------\n- Oxygen calculated by difference when not measured (O_method column)\n- HHV estimated via Channiwala-Parikh correlation when needed\n- Catalyst = 'none' explicitly indicates non-catalytic runs\n- Some gas+water yields reported together (flagged accordingly)\n- pressure_reaction_MPa stored as string to accommodate \"autogenous\"\n\nFILE FORMAT\n-----------\nPrimary file: master_dataset.csv\nEncoding: UTF-8\nDelimiter: comma (,)\nQuote character: double quote (\")\nHeader: Yes (first row contains column names)\n\nRELATED FILES\n-------------\n- metadata.json: Complete metadata in JSON format\n- metadata.xml: Complete metadata in XML format\n- metadata_radar.xml: RADAR repository-compliant metadata\n- column_metadata.csv: Column-level documentation with descriptions and units\n- RADAR_DESCRIPTION.txt: Structured description for repository upload\n- ABSTRACT.txt: Dataset abstract\n\nCITATION\n--------\nWhen using this dataset, please cite:\n[Citation information to be added after DOI assignment]\n\nFAIR COMPLIANCE\n---------------\n- Findable: Unique DOI, comprehensive metadata, standardized keywords\n- Accessible: Open license (CC-BY-4.0), standard formats (CSV, JSON, XML)\n- Interoperable: Standardized schemas, documented units, machine-readable formats\n- Reusable: Complete provenance, quality flags, imputation documentation\n\nAPPLICATIONS\n------------\n- Machine learning model development for process optimization\n- Comparative analysis of conversion technologies\n- Life cycle assessment (LCA) studies\n- Feedstock-to-product relationship modeling\n- Process condition optimization\n- Digital chemistry and data-driven discovery\n\n========================================\nLast Updated: 2026-01\n========================================" , "Data were systematically extracted from peer-reviewed literature, digitized when necessary, and harmonized to a standardized schema. All experimental records include comprehensive provenance tracking. Elemental compositions were normalized to dry or dry-ash-free basis. Missing values for key descriptors (e.g., HHV, lignocellulosic composition, elemental ratios) were imputed using Random Forest models or family-specific median values. Quality-control flags document closure checks for elemental and polymer balances. Derived descriptors include O/C and H/C molar ratios, Lignin Readiness Index (LRI), and energy/carbon recovery metrics." , "This dataset provides a unified, curated collection of experimental results on the hydrothermal conversion of lignocellulosic and lignin-rich biomass, including hydrothermal treatment (HTT), hydrothermal liquefaction (HTL), and related process variants. The database covers diverse biomass feedstocks, reactor configurations, solvents, catalysts, temperatures, residence times, and operating conditions, with all records normalized to consistent units and yield bases." , "The dataset comprises one primary CSV file (master_dataset.csv) with 3,693 rows (experimental runs) and 145 columns organized into nine groups:\n- Provenance: source publication metadata (DOI, year, author, reference)\n- Feedstock Identity: biomass type and family classification\n- Feedstock Composition: elemental analysis (C, H, O, N, S, Ash), lignocellulosic components (Lignin, Cellulose, Hemicellulose), HHV, elemental ratios\n- Process Conditions: temperature (typically 200-400°C), residence time, pressure, solvent, catalyst, reactor type, heating rate, biomass loading\n- Yields: bio-oil, char, gas, and aqueous phase yields (wt%)\n- Bio-oil Properties: elemental composition, HHV, O/C and H/C ratios, carbon yield\n- Char Properties: elemental composition, HHV, O/C and H/C ratios, carbon yield\n- Tracking: flags and methods documenting imputation sources, measurement methods, and quality-control notes\n- Other: derived descriptors, closure flags, normalized indices";
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        <http://schema.org/keywords>    "- biomass - hydrothermal liquefaction - hydrothermal treatment - HTL - HTC - bio-oil - biochar - lignocellulosic biomass - lignin - machine learning - LCA" , "Chemistry";
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