Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2012
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| author | Leblanc, Karine Arístegui Ruiz, Javier Armand, Leanne K Assmy, Philipp Beker, B Bode, Antonio Breton, E Cornet, V Gibson, J Gosselin, M-P Kopczynska, E E Marshall, Harold G Peloquin, Jill M Piontkovski, S Poulton, Alex J Quéguiner, Bernard Schiebel, Ralf Shipe, R Stefels, Jacqueline van Leeuwe, Maria A Varela, M Widdicombe, Claire E Yallop, M |
| author_facet | Leblanc, Karine Arístegui Ruiz, Javier Armand, Leanne K Assmy, Philipp Beker, B Bode, Antonio Breton, E Cornet, V Gibson, J Gosselin, M-P Kopczynska, E E Marshall, Harold G Peloquin, Jill M Piontkovski, S Poulton, Alex J Quéguiner, Bernard Schiebel, Ralf Shipe, R Stefels, Jacqueline van Leeuwe, Maria A Varela, M Widdicombe, Claire E Yallop, M |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This study is a first effort to compile the largest possible body of data available from different plankton databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Data (MAREDAT) project, which aims at building consistent data sets for the main PFTs (Plankton Functional Types) in order to help validate biogeochemical ocean models by using converted C biomass from abundance data. Diatom abundance data were obtained from various research programs with the associated geolocation and date of collection, as well as with a taxonomic information ranging from group down to species. Minimum, maximum and average cell size information were mined from the literature for each taxonomic entry, and all abundance data were subsequently converted to biovolume and C biomass using the same methodology. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_777384 |
| institution | PANGAEA |
| language | en |
| publishDate | 2012 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types Leblanc, Karine Arístegui Ruiz, Javier Armand, Leanne K Assmy, Philipp Beker, B Bode, Antonio Breton, E Cornet, V Gibson, J Gosselin, M-P Kopczynska, E E Marshall, Harold G Peloquin, Jill M Piontkovski, S Poulton, Alex J Quéguiner, Bernard Schiebel, Ralf Shipe, R Stefels, Jacqueline van Leeuwe, Maria A Varela, M Widdicombe, Claire E Yallop, M MAREMIP; MARine Ecosystem Model Intercomparison Project This study is a first effort to compile the largest possible body of data available from different plankton databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Data (MAREDAT) project, which aims at building consistent data sets for the main PFTs (Plankton Functional Types) in order to help validate biogeochemical ocean models by using converted C biomass from abundance data. Diatom abundance data were obtained from various research programs with the associated geolocation and date of collection, as well as with a taxonomic information ranging from group down to species. Minimum, maximum and average cell size information were mined from the literature for each taxonomic entry, and all abundance data were subsequently converted to biovolume and C biomass using the same methodology. |
| title | Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types |
| topic | MAREMIP; MARine Ecosystem Model Intercomparison Project |
| url | https://doi.org/10.1594/PANGAEA.777384 |