{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:12:51Z","timestamp":1760238771018,"version":"build-2065373602"},"reference-count":8,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,9,5]],"date-time":"2020-09-05T00:00:00Z","timestamp":1599264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The development of analytical techniques for characterizing food samples, especially for the wine industry, is a main topic of research. Regarding the classification of wines based on their geographical origin, nuclear magnetic resonance (NMR) spectroscopy represents a fast and effective tool for determining chemical fingerprints. Herein, a 13C NMR dataset, which was acquired for classification of Grecian wines through multivariate statistics, is reported and described. Thus, the main qualitative differences between grapes of the same geographical origin, observable by the visual analysis of the 13C NMR data, are discussed.<\/jats:p>","DOI":"10.3390\/data5030078","type":"journal-article","created":{"date-parts":[[2020,9,6]],"date-time":"2020-09-06T23:12:49Z","timestamp":1599433969000},"page":"78","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["13C NMR Dataset Qualitative Analysis of Grecian Wines"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7623-7475","authenticated-orcid":false,"given":"Alberto","family":"Mannu","sequence":"first","affiliation":[{"name":"Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3488-2684","authenticated-orcid":false,"given":"Ioannis K.","family":"Karabagias","sequence":"additional","affiliation":[{"name":"Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0327-0175","authenticated-orcid":false,"given":"Salvatore","family":"Baldino","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9510-8783","authenticated-orcid":false,"given":"Cristina","family":"Prandi","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vassilios K.","family":"Karabagias","sequence":"additional","affiliation":[{"name":"Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasia V.","family":"Badeka","sequence":"additional","affiliation":[{"name":"Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"8007","DOI":"10.1021\/jf801424u","article-title":"1H NMR nuclear magnetic resonance-based metabolomic characterization of wines by grape varieties and production areas","volume":"56","author":"Son","year":"2008","journal-title":"J. Agric. Food Chem."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Karabagias, I.K., Sykalia, D., Mannu, A., and Badeka, A.V. (2020). Physico-chemical parameters complemented with aroma compounds fired up the varietal discrimination of wine using statistics. Eur. Food Res. Technol., 1\u201316.","DOI":"10.1007\/s00217-020-03568-y"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.foodchem.2016.05.011","article-title":"Controlling protected designation of origin of wine by Raman spectroscopy","volume":"211","author":"Mandrile","year":"2016","journal-title":"Food Chem."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s40538-017-0092-x","article-title":"NMR-based metabolomics in wine quality control and authentication","volume":"4","author":"Amargianitaki","year":"2017","journal-title":"Chem. Biol. Technol. Agric."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1186\/s13568-019-0861-y","article-title":"Analysis of metabolites in chardonnay dry white wine with various inactive yeasts by 1H NMR spectroscopy combined with pattern recognition analysis","volume":"9","author":"Hu","year":"2019","journal-title":"AMB Express"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Mannu, A., Karabagias, I.K., Di Pietro, M.E., Baldino, S., Karabagias, V.K., and Badeka, A.V. (2020). 13C NMR-Based Chemical Fingerprint for the Varietal and Geographical Discrimination of Wines. Foods, 9.","DOI":"10.3390\/foods9081040"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"7373","DOI":"10.1021\/jo071129v","article-title":"Prediction of the 1H and 13C NMR Spectra of r-D-Glucose in Water by DFT Methods and MD Simulations","volume":"72","author":"Bagno","year":"2007","journal-title":"J. Org. Chem."},{"key":"ref_8","unstructured":"(2020, August 06). TopSpinsoftware from Bruker. Available online: https:\/\/www.bruker.com\/service\/support-upgrades\/software-downloads\/nmr.html."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/5\/3\/78\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:07:14Z","timestamp":1760177234000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/5\/3\/78"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,5]]},"references-count":8,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["data5030078"],"URL":"https:\/\/doi.org\/10.3390\/data5030078","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2020,9,5]]}}}