Data underpinning "Biochemical Profile of Heritage and Modern Apple Cultivars and Application of Machine Learning Methods to Predict Usage, Age, and Harvest Season" Maria Anastasiadi Leon Terry Sally Redfern Fady Mohareb Mark Berry 10.17862/cranfield.rd.5002442.v1 https://cord.cranfield.ac.uk/articles/dataset/Data_underpinning_Biochemical_Profile_of_Heritage_and_Modern_Apple_Cultivars_and_Application_of_Machine_Learning_Methods_to_Predict_Usage_Age_and_Harvest_Season_/5002442 <p>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". <br></p><p>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<b>.</b> </p> 2017-06-05 08:32:05 Malus phenolic compounds sugars organic acids amygdalin predictive modelling machine learning Bioinformatics Biochemistry Analytical Chemistry not elsewhere classified