RAW_APPLE_DATA.xlsx (145.22 kB)

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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posted on 05.06.2017 by Maria Anastasiadi, Leon Terry, Sally Redfern, Fady Mohareb, Mark Berry

This 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.

Funding

TSB 101125 (Innovate UK), Unilever U.K. Central Resources Ltd, and the Biotechnology and Biological Sciences Research Council (BBSRC)

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