RGB-statistics derived from Nile red-stained reference plastics for the construction of the PIM (Polymer Identification Model) Instituut voor Landbouw-, Visserij- en Voedingsonderzoek
Nelle Meyers, Ana Catarino, Annelies Declercq, Aisling Brenan, Lisa Devriese, Michiel Vandegehuchte, Bavo De Witte, Colin Janssen, Gert Everaert
Dataset containing RGB-statistics extracted from photographed fluorescent reference plastics stained with Nile red. The most abundantly produced plastic polymers worldwide considered for this dataset. The spectral data was used to construct a supervised machine learning model that allows to accurately identify the polymer types microplastics belong to, in a cost- and time-efficient way.,The dataset was built to train and validate the ‘Polymer Identification Model’ (PIM) in R and contains Red, Green and Blue (RGB) statistics extracted from Nile red-stained reference plastics (50-1200 μm) ...