Dataset: Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering

This dataset contains all relevant data for the manuscript (in submission) "Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering". Code written to analyse this dataset (which may be adapted for other flow cytometry datasets) is found at https://zenodo.org/record/999747 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Naming convention for raw flow cytometry data files (located in /Script 3. Generating raw data subset/input/): [Allparameters] _ [Year] - [Month] - [Date] [Hour] [u] [Minute] _ [Depth] e.g: Allparameters_2014-07-31 08u08_1.0m The date, time and depth indicate the location and time at which the measurement was taken.We are presently using this dataset for multiple publications that are in preparation. To avoid duplicated efforts, we request that you contact the authors if you are interested in pursuing a research project with this data. Contact information: Mridul K. Thomas - mrit {at} dtu {dot} dk Francesco Pomati - francesco {dot} pomati {at} eawag {dot} c