Dataset Open Access

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

Thomas, Mridul K.; Fontana, Simone; Reyes, Marta; Pomati, Francesco


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    <dct:title>Dataset: Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering</dct:title>
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    <dcat:keyword>phytoplankton, flow cytometry, automated monitoring, traits</dcat:keyword>
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    <dct:description>&lt;p&gt;This dataset contains all relevant data for the manuscript (in submission) "&lt;em&gt;Quantifying cell densities and biovolumes of phytoplankton communities and functional groups using scanning flow cytometry, machine learning and unsupervised clustering&lt;/em&gt;".&lt;/p&gt; &lt;p&gt;Code written to analyse this dataset (which may be adapted for other flow cytometry datasets) is found at https://zenodo.org/record/999747&lt;/p&gt; &lt;p&gt;--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------&lt;/p&gt; &lt;p&gt;Naming convention for raw flow cytometry data files (located in /Script 3. Generating raw data subset/input/):&lt;/p&gt; &lt;p&gt;[Allparameters] _ [Year] - [Month] - [Date]  [Hour] [u] [Minute] _ [Depth]&lt;/p&gt; &lt;p&gt;e.g: Allparameters_2014-07-31 08u08_1.0m&lt;/p&gt; &lt;p&gt;The date, time and depth indicate the location and time at which the measurement was taken.&lt;/p&gt;</dct:description>
    <dct:description>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} ch</dct:description>
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