Data for the paper Biochemical profile of heritage and modern apple cultivars and application of machine learning methods to predict usage, age, and harvest season

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dc.contributor.authorAnastasiadi, Maria
dc.contributor.authorTerry, Leon
dc.contributor.authorRedfern, Sally
dc.contributor.authorMohareb, Fady
dc.contributor.authorBerry, Mark
dc.date.accessioned2024-06-10T05:55:16Z
dc.date.available2024-06-10T05:55:16Z
dc.date.issued2017-06-05 09:32
dc.description.abstractThis dataset contains the quantitative data used for statistical analysis and predictive modelling in the paper entitled "Biochemical Profile of Heritage and Modern Apple Cultivars and Application of Machine Learning Methods to Predict Usage, Age, and Harvest Season". Specifically it contains concentration of phenolic compounds per Fresh weight in the whole apples as well as sugars and organic acids. In addition the phenolic content of individual tissues (peel, flesh, seeds) is uploaded.
dc.description.sponsorshipTSB 101125 (Innovate UK), Unilever U.K. Central Resources Ltd, and the Biotechnology and Biological Sciences Research Council (BBSRC)
dc.identifier.citationAnastasiadi M, Terry L, Redfern S, et al., (2017). Biochemical profile of heritage and modern apple cultivars and application of machine learning methods to predict usage, age, and harvest season. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5002442en_UK
dc.identifier.doi10.17862/cranfield.rd.5002442
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22314
dc.publisherCranfield Universityen_UK
dc.relation.isreferencedbyhttps://doi.org/10.1021/acs.jafc.7b00500'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMalusen_UK
dc.subjectphenolic compoundsen_UK
dc.subjectsugarsen_UK
dc.subjectorganic acidsen_UK
dc.subjectamygdalinen_UK
dc.subjectpredictive modellingen_UK
dc.subjectmachine learningen_UK
dc.subjectBioinformaticsen_UK
dc.subjectBiochemistryen_UK
dc.subjectAnalytical Chemistry not elsewhere classifieden_UK
dc.titleData for the paper Biochemical profile of heritage and modern apple cultivars and application of machine learning methods to predict usage, age, and harvest seasonen_UK
dc.typeDataset

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