GENERAL INFORMATION 1. Title of Dataset: RiojaWines 2. Authorship: Name: Sánchez Pastor, Mª Sagrario Institution: Departamento de Matemáticas y Computación.Universidad de Burgos Email: ssanchez@ubu.es ORCID: https://orcid.org/0000-0001-7337-4773 Name: Sarabia Peinador, Luis Antonio Institution: Departamento de Matemáticas y Computación. Universidad de Burgos Email: lsarabia@ubu.es ORCID: https://orcid.org/0000-0002-5936-7929 Name: Ortiz Fernández, Mª Cruz Institution: Departamento de Química. Universidad de Burgos Email: mcortiz@ubu.es ORCID: https://orcid.org/0000-0002-4751-8929 Name: Ruiz Miguel, Santiago Institution: Departamento de Matemáticas y Computación. Universidad de Burgos Email: rumi@ubu.es ORCID: https://orcid.org/0000-0002-6850-1077 DESCRIPTION 1. Dataset language: English 2. Date of dataset publication 2021-05-04 ACCESS INFORMATION 1. Dataset Creative Commons License: CC BY-NC-ND 2. Dataset DOI: 10.36443/10259/5753 (http://doi.org/10.36443/10259/5753) 3. Related publication Papers that cite this dataset: M.E. Meléndez, M.S. Sánchez, M. Íñiguez, L.A. Sarabia, M.C. Ortiz, Psychophysical parameters of colour and the chemometric characterisation of wines of the certified denomination of origin ‘Rioja’, Analytica Chimica Acta, Volume 446, Issues 1–2, 2001, Pages 157-167, doi: 10.1016/S0003-2670(01)01274-0 M.C. Ortiz, A. Herrero, M.S. Sánchez, L.A. Sarabia, M. Íñiguez, The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’, Chemometrics and Intelligent Laboratory Systems 28 (1995) 273-285, doi: 10.1016/0169-7439(95)80063-F METHODOLOGICAL INFORMATION 1. Description of methods used for collection-generation of data: format: tab-delimited text dataset characteristics: multivariate atribute characteristis: real (Z-scores) pretreatment: column autoscaling (substracting its mean and dividing by its standard deviation) size: 128 x 7 128 samples of red young wines from Spanish DOC (Denominación de Origen Calificada) Rioja. First six columns: six variables related to physical-chemical measures of color: 1. red/green chromaticity (a) 2. yellow/blue chromaticity (b), 3. lightness (L), 4. chroma (C) 5. hue (H) 6. saturation (S) Last column: Label given by expert tasters after visual inspection of color. Data are autoscaled for confidentiality reasons.