Machine learning supported olive oil compound profiling for assessing geographic and cultivar authenticity
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https://figshare.com/articles/dataset/Machine_learning_supported_olive_oil_compound_profiling_for_assessing_geographic_and_cultivar_authenticity/31038004
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资源简介：
Dataset associated with the paper "Machine learning supported olive oil compound profiling for assessing geographic and cultivar authenticity" by Gaia Meonia, Chiara Vitab, Leonardo Tenoria, Lorenzo Venturinic, Miriam Ascolesec, Alissa Matteid, Lucia Tacconie, Maria Teresa Ceccherinif*, Claudio Luchinatg, Simone Tommasinih, Sandro Morettih, Samuel Pelacaniha Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino, Florence 50019, Italyb QuMAP - PIN Foundation - Prato Campus of the University of Florence, Piazza dell’Università 1, 59100 Prato, Italyc DMSC (Department of Experimental and Clinical Medicine), University of Florence, Largo Brambilla 3, 50134 Florence, Italyd Alissa-Knoil E.T.S., Viale Ombrone 3, Grosseto 58100, Italye Confederazione Italiana Agricoltori Toscana, Via di Novoli 91/n, Florence, Italyf Department of Agriculture, Food, Environment and Forestry, University of Florence, 50144 Florence, Italy; mariateresa.ceccherini@unifi.itg Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP)Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Florence, Italyh Department of Earth Sciences, University of Florence, Florence 50121, Italy
创建时间：
2026-01-09
