Pollen Flow Cytometry Datasets and Classification Models

This database contains flow cytometry measurements for pollen grains from 97 species across 34 genera.<br>The pollen grains come from floral units collected directly from trees and herbaceous plants in urban area of Montreal, QC, Canada.<br>Measurements were performed with a CytoFLEX cytometer (Beckam Coulter, Inc.), equipped with three excitation lasers, in blue (λ=488nm), red (λ=640nm) and violet (λ=405nm), 10 dichroic mirrors, bandpass filters and detectors in different wavelength ranges (λ=450/45, 525/40, 610/20, 585/42, 525/40, 690/50, 780/60, 660/10, 712/25 and 780/60 nm) with their respective names: PB450, KO525, Violet610, PE, FITC, PC5.5, PC7, APC, APC-A700, APC-A750. Two other detectors were also used for the size (forward scatter, FSC) and granularity (side scatter, SSC).<br><br>Short description of each file :<br>trainingdataset_genus: Flow cytometry measurements used to train the genus-level classification modeltrainingdataset_species: Flow cytometry measurements used to train the species-level classification modelModelRF_genus: Random Forest classification model trained at the genus level.ModelRF_species: Random Forest classification model trained at the species level.<br>These data are linked to this article : (link to come when preprint will be published)<br>Linked Github repository : https://github.com/SarahTardif/Pollen-classification-model