Dataset Open Access
Thomas, Mridul K.; Fontana, Simone; Reyes, Marta; Pomati, Francesco
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
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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.
Name | Size | |
---|---|---|
Script 1. Training biovolume estimation.zip
md5:83803a569b10da0a5cfd9470a9093d7f |
3.5 MB | Download |
Script 2. Identifying important variables for data cleaning.zip
md5:3a95df2dfd1b74d7f1c0d8cbfbaf8920 |
11.1 MB | Download |
Script 3. Generating raw data subset.zip
md5:47f082290386235c81547557f5fc92df |
8.2 GB | Download |
Script 4. Cleaning by clustering.zip
md5:19c8ffdd62d569e33731f5662db1f474 |
310.1 MB | Download |
Script 5. Generating cleaned data subset.zip
md5:edf2bf072e05db7d59bdf4ed7ab1bd87 |
39.3 MB | Download |
Script 6. Calculating cell density.zip
md5:3b4ed742c96e7d46b8128af8b6597655 |
8.3 kB | Download |
Script 7. Identifying important variables for group distinction.zip
md5:f18128da04aa6bad6473493a73524ee0 |
24.6 MB | Download |
Script 8. Calculating cell densities of clusters.zip
md5:cbd29e56442a2798bc1b9438af98bd67 |
87.2 kB | Download |
All versions | This version | |
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Views | 362 | 362 |
Downloads | 488 | 488 |
Data volume | 735.1 GB | 735.1 GB |
Unique views | 333 | 333 |
Unique downloads | 208 | 208 |