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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2012
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.774851 |
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| _version_ | 1867172318351982592 |
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| author | Luo, Yawei Doney, Scott C Anderson, L A Benavides, Mar Berman-Frank, I Bode, Antonio Bonnet, S Boström, Kjärstin H Böttjer, D Capone, D G Carpenter, E J Chen, Yaw-Lin Church, Matthew J Dore, John E Falcón, Luisa I Fernández, A Foster, R A Furuya, Ken Gomez, Fernando Gundersen, Kjell Hynes, Annette M Karl, David Michael Kitajima, Satoshi Langlois, Rebecca LaRoche, Julie Letelier, Ricardo M Marañón, Emilio McGillicuddy Jr, Dennis J Moisander, Pia H Moore, C Mark Mouriño-Carballido, Beatriz Mulholland, Margaret R Needoba, Joseph A Orcutt, Karen M Poulton, Alex J Rahav, Eyal Raimbault, Patrick Rees, Andrew Riemann, Lasse Shiozaki, Takuhei Subramaniam, Ajit Tyrrell, Toby Turk-Kubo, Kendra A Varela, Manuel Villareal, Tracy A Webb, Eric A White, Angelicque E Wu, Jingfeng Zehr, Jonathan P |
| author_facet | Luo, Yawei Doney, Scott C Anderson, L A Benavides, Mar Berman-Frank, I Bode, Antonio Bonnet, S Boström, Kjärstin H Böttjer, D Capone, D G Carpenter, E J Chen, Yaw-Lin Church, Matthew J Dore, John E Falcón, Luisa I Fernández, A Foster, R A Furuya, Ken Gomez, Fernando Gundersen, Kjell Hynes, Annette M Karl, David Michael Kitajima, Satoshi Langlois, Rebecca LaRoche, Julie Letelier, Ricardo M Marañón, Emilio McGillicuddy Jr, Dennis J Moisander, Pia H Moore, C Mark Mouriño-Carballido, Beatriz Mulholland, Margaret R Needoba, Joseph A Orcutt, Karen M Poulton, Alex J Rahav, Eyal Raimbault, Patrick Rees, Andrew Riemann, Lasse Shiozaki, Takuhei Subramaniam, Ajit Tyrrell, Toby Turk-Kubo, Kendra A Varela, Manuel Villareal, Tracy A Webb, Eric A White, Angelicque E Wu, Jingfeng Zehr, Jonathan P |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedented global data set for ecological and biochemical analysis and modeling as well as a clear mandate for compiling additional existing data and for focusing future data gathering efforts on key groups in key areas of the ocean. This is a gridded data product about diazotrophic organisms . There are 6 variables. Each variable is gridded on a dimension of 360 (longitude) * 180 (latitude) * 33 (depth) * 12 (month). The first group of 3 variables are: (1) number of biomass observations, (2) biomass, and (3) special nifH-gene-based biomass. The second group of 3 variables is same as the first group except that it only grids non-zero data. We have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling more than 11,000 direct field measurements including 3 sub-databases: (1) nitrogen fixation rates, (2) cyanobacterial diazotroph abundances from cell counts and (3) cyanobacterial diazotroph abundances from qPCR assays targeting nifH genes. Biomass conversion factors are estimated based on cell sizes to convert abundance data to diazotrophic biomass. Data are assigned to 3 groups including Trichodesmium, unicellular diazotrophic cyanobacteria (group A, B and C when applicable) and heterocystous cyanobacteria (Richelia and Calothrix). Total nitrogen fixation rates and diazotrophic biomass are calculated by summing the values from all the groups. Some of nitrogen fixation rates are whole seawater measurements and are used as total nitrogen fixation rates. Both volumetric and depth-integrated values were reported. Depth-integrated values are also calculated for those vertical profiles with values at 3 or more depths. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_774851 |
| institution | PANGAEA |
| language | en |
| publishDate | 2012 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Global distributions of diazotrophs abundance, biomass and nitrogen fixation rates - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types Luo, Yawei Doney, Scott C Anderson, L A Benavides, Mar Berman-Frank, I Bode, Antonio Bonnet, S Boström, Kjärstin H Böttjer, D Capone, D G Carpenter, E J Chen, Yaw-Lin Church, Matthew J Dore, John E Falcón, Luisa I Fernández, A Foster, R A Furuya, Ken Gomez, Fernando Gundersen, Kjell Hynes, Annette M Karl, David Michael Kitajima, Satoshi Langlois, Rebecca LaRoche, Julie Letelier, Ricardo M Marañón, Emilio McGillicuddy Jr, Dennis J Moisander, Pia H Moore, C Mark Mouriño-Carballido, Beatriz Mulholland, Margaret R Needoba, Joseph A Orcutt, Karen M Poulton, Alex J Rahav, Eyal Raimbault, Patrick Rees, Andrew Riemann, Lasse Shiozaki, Takuhei Subramaniam, Ajit Tyrrell, Toby Turk-Kubo, Kendra A Varela, Manuel Villareal, Tracy A Webb, Eric A White, Angelicque E Wu, Jingfeng Zehr, Jonathan P MAREMIP; MARine Ecosystem Model Intercomparison Project The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedented global data set for ecological and biochemical analysis and modeling as well as a clear mandate for compiling additional existing data and for focusing future data gathering efforts on key groups in key areas of the ocean. This is a gridded data product about diazotrophic organisms . There are 6 variables. Each variable is gridded on a dimension of 360 (longitude) * 180 (latitude) * 33 (depth) * 12 (month). The first group of 3 variables are: (1) number of biomass observations, (2) biomass, and (3) special nifH-gene-based biomass. The second group of 3 variables is same as the first group except that it only grids non-zero data. We have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling more than 11,000 direct field measurements including 3 sub-databases: (1) nitrogen fixation rates, (2) cyanobacterial diazotroph abundances from cell counts and (3) cyanobacterial diazotroph abundances from qPCR assays targeting nifH genes. Biomass conversion factors are estimated based on cell sizes to convert abundance data to diazotrophic biomass. Data are assigned to 3 groups including Trichodesmium, unicellular diazotrophic cyanobacteria (group A, B and C when applicable) and heterocystous cyanobacteria (Richelia and Calothrix). Total nitrogen fixation rates and diazotrophic biomass are calculated by summing the values from all the groups. Some of nitrogen fixation rates are whole seawater measurements and are used as total nitrogen fixation rates. Both volumetric and depth-integrated values were reported. Depth-integrated values are also calculated for those vertical profiles with values at 3 or more depths. |
| title | Global distributions of diazotrophs abundance, biomass and nitrogen fixation rates - 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.774851 |