Data underpinning "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, Maria; Terry, Leon; Redfern, Sally; Mohareb, Fady; Berry, Mark (2017). Data underpinning "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.5002442
dc.identifier.doi10.17862/cranfield.rd.5002442
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22314
dc.publisherCranfield University
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.subjectMalus'
dc.subject'phenolic compounds'
dc.subject'sugars'
dc.subject'organic acids'
dc.subject'amygdalin'
dc.subject'predictive modelling'
dc.subject'machine learning'
dc.subject'Bioinformatics'
dc.subject'Biochemistry'
dc.subject'Analytical Chemistry not elsewhere classified'
dc.titleData underpinning "Biochemical Profile of Heritage and Modern Apple Cultivars and Application of Machine Learning Methods to Predict Usage, Age, and Harvest Season"
dc.typeDataset

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