Global distributions of calcifying zooplankton abundance and biomass - curated observations (as .CSV) and gridded products (biomass climatologies and model outputs, as NetCDF)

DOI

The present datasets are those used and generated by: Knecht et al. (2023). The .csv files contain georeferenced observations of abundances and biomass of shelled pteropods and planktic foraminifera (determined at various taxonomic levels). Two README documents describe the way these were implemented from previous zooplankton data syntheses, ongoing plankton monitoring programs and more recent oceanographic cruises. Two NetCDF (.nc) contain the depth-resolved monthly climatologies of shelled pteropods and foraminifera biomasses. The two other NetCDF contain the global estimates of Mean/Median/Min/Max/Stdev biomass concentrations for shelled pteropods and foraminifera for the surface ocean. These global estimates were obtained through an ensemble of biomass distribution models that is extensively described in Knecht et al. (see preprint cited above). This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 862923. This output reflects only the author's view, and the European Union cannot be held responsible for any use that may be made of the information contained therein.

Identifier
DOI https://doi.org/10.1594/PANGAEA.957258
Related Identifier IsSupplementTo https://doi.org/10.22541/essoar.167283650.05543210/v1
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.957258
Provenance
Creator Knecht, Nielja ORCID logo; Benedetti, Fabio ORCID logo; Hofmann-Elizondo, Urs; Bednarsek, Nina; Chaabane, Sonia ORCID logo; de Weerd, Catharina; Peijnenburg, Katja T C A ORCID logo; Schiebel, Ralf ORCID logo; Vogt, Meike ORCID logo
Publisher PANGAEA
Publication Year 2023
Funding Reference Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 862923 https://doi.org/10.3030/862923 Atlantic ECOsystems assessment, forecasting & sustainability
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 10 data points
Discipline Earth System Research