{"data":{"id":"10.4121/uuid:d68d5ca7-41c0-410b-b3ad-89bc1a85396f","type":"dois","attributes":{"doi":"10.4121/uuid:d68d5ca7-41c0-410b-b3ad-89bc1a85396f","prefix":"10.4121","suffix":"uuid:d68d5ca7-41c0-410b-b3ad-89bc1a85396f","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"J.C. Boulet","nameType":"Personal","familyName":"J.C. Boulet","nameIdentifiers":[{"nameIdentifier":"0000-0002-8569-3007","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"C. Trarieux","familyName":"C. Trarieux","affiliation":[],"nameIdentifiers":[]},{"name":"J.M. Souquet","familyName":"J.M. Souquet","affiliation":[],"nameIdentifiers":[]},{"name":"S. Caille","familyName":"S. Caille","affiliation":[],"nameIdentifiers":[]},{"name":"A. Samson","familyName":"A. Samson","affiliation":[],"nameIdentifiers":[]},{"name":"P. Williams","familyName":"P. Williams","affiliation":[],"nameIdentifiers":[]},{"name":"T. Doco","familyName":"T. Doco","affiliation":[],"nameIdentifiers":[]},{"name":"V. 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Cheynier","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Wine characteristics: astringency (tasting and tests), classical parameters, polyphenols (focused on tannins), oligosaccharides and polysaccharides"}],"publisher":"L’Institut National de la Recherche Agronomique (INRA); L’Institut Français de la Vigne et du Vin (ITV)","container":{},"publicationYear":2015,"subjects":[{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Food Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0908"},{"subject":"FOS: Other engineering and technologies","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"agricultural research"},{"subject":"astringency"},{"subject":"bovine serum albumine"},{"subject":"food chemistry"},{"subject":"multiple linear regression"},{"subject":"oligosaccharides"},{"subject":"polyphenols"},{"subject":"polysaccharides"},{"subject":"sensor analysis"},{"subject":"wine"}],"contributors":[],"dates":[{"date":"2015-06-08","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"http://authors.elsevier.com/sd/article/S0308814615007979","relatedIdentifierType":"URL"}],"relatedItems":[],"sizes":[],"formats":["media types: application/pdf"],"version":"1","rightsList":[{"rights":"4TU General Terms of Use","rightsUri":"https://doi.org/10.4121/resource:terms_of_use"}],"descriptions":[{"description":"The aim was to find a fast method to estimate red wines astringencies. 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