Solubility measurements for organic compounds in binary solvent mixtures. The dataset contains over 175,000 experimental data points. The author and creation date are unknown.
Use Cases
- Predict solubility values from compound and binary solvent mixture properties.
- Train models to identify optimal solvent combinations for specific organic compounds.
- Analyze the relationship between solvent composition ratios and measured solubility outcomes.
- Benchmark machine learning algorithms on experimental physical chemistry data.
Strengths
- Over 175,000 experimental solubility measurements.
- Focus on binary solvent systems, a common industrial scenario.
Limitations
- Specific sample size, column names, and data completeness are unknown.
- Potential for experimental bias or noise inherent in aggregated lab measurements.
Provenance
- Source
- null
- Collection Method
- Large-scale experimental measurements.
- Time Range
- null
- Freshness
- null
- Geography
- null