Dataset originating from various imaging devices used during the Tara Ocean Cruise and associated with the manuscript "Ubiquity of inverted 'gelatinous' ecosystem pyramids in the global ocean"

Datasets are provided in 3 different layers.  1) Raw datasets as obtained from Ecotaxa exports (imaging devices) and as either fcs files for Accuri flowcytometry or concentration, size and biovolumes for Facscalibur flowcytometry. They are provided as separate .zip files for -Fascalibur flowcytometr...

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Hauptverfasser: Lombard, Fabien, Guidi, Lionel, Brandão, Manoela C., Coelho, Luis Pedro, Colin, Sébastien, Dolan, John Richard, Elineau, Amanda, Gasol, Josep M, Grondin, Pierre Luc, Henry, Nicolas, Ibarbalz, Federico M., Jalabert, Laetitia, Picheral, Marc, Pierella Karlusich, Juan José, Rainer, Pepperkok, Romagnan, Jean-Baptiste, Stemmann, Lars, Acinas, Acinas, Karp-Boss, Lee, Boss, Emmanuel, Sullivan, Matthew B., Bowler, Chris, de Vargas, Colomban, Karsenti, Eric, Gorsky, Gabriel
Format: Dataset
Sprache:eng
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Zusammenfassung:Datasets are provided in 3 different layers.  1) Raw datasets as obtained from Ecotaxa exports (imaging devices) and as either fcs files for Accuri flowcytometry or concentration, size and biovolumes for Facscalibur flowcytometry. They are provided as separate .zip files for -Fascalibur flowcytometry -Accuri flowcytometry -eHFCM (H5) from the 5µm nets -eHFCM (H20) from the 20µm nets -Flowcam (both from Niskin bottles and bongo 20µm net (b20) -Imaging flowcytobot (IFCB); one file every 5 minutes -Zooscan from the WP2 (200µm) net -Zooscan from the bongo (300µm) net -Zooscan from the Regent (680µm) net -UVP data   2)    Mergedbase.mat : one line per station Pre-processed (https://github.com/ecotaxa/ecotaxatoolbox ) and merged datasets where quality checked for potential errors in volume sampled against initial log sheets and corrected if needed, all concentrations have been calculated, biovolume calculated for every individual image obtained and normalized biovolume size spectra calculated assuming 3 different calculations (plain area biovolume, extruded area biovolume and ellipsoidal equivalent biovolume assuming prolate ellipsoids). Data are organized within a structured matlab file with a common architecture for every stations. The architecture of this file is similar for every station and instrument and includes in addition to every relevant metadata (position, date, volumes etc) the features described below for the different fractions of a sample (d1, d2... dx fractions; when scanned in several scans) in tot (sum of dx fractions); or in regrouped (further grouped in living/non-living// functional groups// trophic groups). Each levels contains the following derived datasets: -       Ab: abundance per groups (ind.m-3) -       Bv: biovolume per groups (mm3.m-3) Calculated from ellipsoidal estimate -       Ybv_Plain_Area_BV_spectra: NBSSbiovolume per groups per size class (mm3.mm-3.m-3) from Area estimated ESD -       Ybv_Riddled_Area_BV_spectra: NBSSbiovolume per groups per size class (mm3.mm-3.m-3) from Area_extruded estimated ESD -       Ybv_Ellipsoid_BV_spectra: NBSSbiovolume per groups per size class (mm3.mm-3.m-3) from ellipsoidal estimate -       X is the Middle of each biovolume size class (caution: it is log transformed here) (log(mm3)) -       X1 is the amplitude of each biovolume size class - used for de-normalizing NBSS (mm3) -       ESD vector is the conversion of X in ESD (µm this time) -       ESDquartilesmoyenne are the 5 25 50 75 95 % quarti
DOI:10.5281/zenodo.10478780