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dc.creatorAćimović, Milica G.
dc.creatorPezo, Lato
dc.creatorTešević, Vele
dc.creatorČabarkapa, Ivana
dc.creatorTodosijević, Marina
dc.date.accessioned2020-10-16T08:30:18Z
dc.date.available2020-10-16T08:30:18Z
dc.date.issued2020
dc.identifier.issn0926-6690
dc.identifier.urihttp://cherry.chem.bg.ac.rs/handle/123456789/4210
dc.publisherElsevier
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200032/RS//
dc.rightsopenAccess
dc.sourceIndustrial Crops and Products
dc.subjectartificial neural networks
dc.subjectessential oil
dc.subjectGC-MS
dc.subjecthydrodistillation
dc.subjectQSRR
dc.subjectSatureja kitaibelii
dc.titleSupplementary data for the article: Aćimović, M.; Pezo, L.; Tešević, V.; Čabarkapa, I.; Todosijević, M. QSRR Model for Predicting Retention Indices of Satureja Kitaibelii Wierzb. Ex Heuff. Essential Oil Composition. Industrial Crops and Products 2020, 154, 112752. https://doi.org/10.1016/j.indcrop.2020.112752
dc.typeother
dc.rights.licenseBY-SA
dcterms.abstractТодосијевић, Марина; Aћимовић, Милица Г.; Тешевић, Веле; Пезо, Лато; Чабаркапа, Ивана;
dc.description.otherSupplementary material for: [https://doi.org/10.1016/j.indcrop.2020.112752]
dc.description.otherRelated to published version: [https://cherry.chem.bg.ac.rs/handle/123456789/4209]
dc.type.versionpublishedVersion
dc.identifier.fulltexthttp://cherry.chem.bg.ac.rs/bitstream/id/22282/QSRR_Model_for_sup_2020.pdf


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