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dc.contributor.authorSánchez Alonso, Ramón 
dc.contributor.authorRad Moradillo, Juan Carlos 
dc.contributor.authorCambra Baseca, Carlos 
dc.contributor.authorCastroviejo Fernández, Mª Pilar 
dc.contributor.authorBarros García, Rocío 
dc.contributor.authorHerrero Cosío, Álvaro 
dc.date.accessioned2026-05-26T09:22:53Z
dc.date.available2026-05-26T09:22:53Z
dc.date.issued2025-10
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/10259/11727
dc.description.abstractScanning electron microscope, better known by its acronym as SEM, is a very useful technique for obtaining highresolution images of the surface of a sample. Hyperspectral imaging provides precise information for analysing vineyard vegetation that could help in improving pesticide application in precision viticulture technics. The present dataset is based on images of vineyard leaves, taken with both technics. The leaves of the cv. Tempranillo, proceeding from a vineyard located inside of the Cigales Denomination of Origin, in north-central Spain, were treated with two Cu-containing products: ZZ Cuprocol (70 % w/v copper oxychloride) and Cuprantol Duo (14 % w/w copper oxychloride, 14 % w/w copper hydroxide). In addition, a contact pesticide widely used in intensive and traditional viticulture based on Folpet, copper-free but containing sulphur and chlorine, has been tested in its commercial form, Vitipec Blue (Cymoxanil 6 % w/w, Folpet 37.5 % w/w, Ascenza, PT). Three dilutions were prepared, one of each compound, at the actual field application concentration of 1.33 g/L. The leaves were sampled and processed during the 2023 season. These leaves were taken from the central part of representative shoots of the vine canopy, with east and west exposures. After the application of the pesticide dilutions, images of the leaves were taken with a 300-channel hyperspectral camera (Pika L, Resonon) using a mechanical bench synchronized with the camera. Then the SEM analysis was carried after prepare the samples. Hence, such imagery is provided in the present dataset, based on the images taken from the leaves with both technicses
dc.description.sponsorshipThis publication and the related dataset are part of the DIG4VITIS project (reference TED2021–131551B-I00) funded by MCIN/AEl/10.13039/501100011033 and the European Union ("NextGenerationEU*/PRTR.). The authors would also like to acknowledge Valdelosfrailes cellar, belonging to winery MATARROMERA S.L. and Syngenta for providing leaves and pesticide samples respectivelyes
dc.format.mimetypeapplication/pdf
dc.language.isoengen
dc.publisherElsevieres
dc.relation.ispartofData in Brief. 2025, V. 62, 111899es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectPrecision agricultureen
dc.subjectHyperspectral imagingen
dc.subjectSEMen
dc.subjectEDSen
dc.subjectMildewen
dc.subjectCopperen
dc.subjectSulphuren
dc.subjectVitis viniferaen
dc.subject.otherViticulturaes
dc.subject.otherViticultureen
dc.subject.otherAntifúngicoses
dc.subject.otherAntifungal agentsen
dc.titleSEM-EDS and hyperspectral images of vine leaves treated with antifungal productsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1016/j.dib.2025.111899es
dc.identifier.doi10.1016/j.dib.2025.111899
dc.journal.titleData in Briefen
dc.volume.number62es
dc.page.initial111899es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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