Consumer wine ratings can reflect both chemical composition and information such as price, labels, and region. This dataset supports research into how measurable chemistry relates to liking in German white wines by combining crowd-sourced Vivino ratings with two types of laboratory data. GC-MS provides 145 measurements of volatile compounds related to aroma. FTIR provides 18 measurements of basic composition, including alcohol, acidity, pH, organic acids, glycerol, density, and reducing sugar. Supplementary material.xlsx also includes sample descriptions, growing area, grape variety, vintage, ratings for 63 wines, and compound annotations. Raw measurements are supplied as 90 NetCDF/CDF chromatogram files, W001-W090.
Hjertholm, F.; Goetz, R.; Schneide, P.-A. A.; Petersen, M. A.; Bro, R.; Quintanilla-Casas, B. (2025). Uncorking white wine liking: Combining analytical chemistry and chemometrics with crowd-sourced data to predict quality ratings. Food Chemistry, 492, 145376. https://doi.org/10.1016/j.foodchem.2025.145376
