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  • 1
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    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 (2012)
    PANGAEA
    In:  Supplement to: 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 (2012): Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates. Earth System Science Data, 4, 47-73, https://doi.org/10.5194/essd-4-47-2012
    Details
    Publication Date: 2023-03-27
    Description: 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.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 1.7 MBytes
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  • 2
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    Coccosphere geometry measurements from culture experiments on the coccolithophore species Calcidiscus leptoporus, Calcidiscus quadriperforatus and Helicosphaera carteri (2016)
    PANGAEA
    In:  Supplement to: Sheward, Rosie M; Poulton, Alex J; Gibbs, Samantha J; Daniels, Chris J; Bown, Paul R (2017): Physiology regulates the relationship between coccosphere geometry and growth phase in coccolithophores. Biogeosciences, 14(6), 1493-1509, https://doi.org/10.5194/bg-14-1493-2017
    Details
    Publication Date: 2023-02-13
    Description: Coccolithophores are an abundant phytoplankton group that exhibit remarkable diversity in their biology, ecology and calcitic exoskeletons (coccospheres). Their extensive fossil record is a testament to their important biogeochemical role and is a valuable archive of biotic responses to environmental change stretching back over 200 million years. However, to realise the full potential of this archive for (palaeo-)biology and biogeochemistry requires an understanding of the physiological processes that underpin coccosphere architecture. Using culturing experiments on four modern coccolithophore species (Calcidiscus leptoporus, Calcidiscus quadriperforatus, Helicosphaera carteri and Coccolithus braarudii) from three long-lived families, we investigate how coccosphere architecture responds to shifts from exponential (rapid cell division) to stationary (slowed cell division) growth phases as cell physiology reacts to nutrient depletion. These experiments reveal statistical differences in coccosphere size and the number of coccoliths per cell between these two growth phases, specifically that cells in exponential-phase growth are typically smaller with fewer coccoliths, whereas cells experiencing growth-limiting nutrient depletion have larger coccosphere sizes and greater numbers of coccoliths per cell. Although the exact numbers are species-specific, these growth-phase shifts in coccosphere geometry demonstrate that the core physiological responses of cells to nutrient depletion result in increased coccosphere sizes and coccoliths per cell across four different coccolithophore families (Calcidiscaceae, Coccolithaceae, Isochrysidaceae and Helicosphaeraceae), a representative diversity of this phytoplankton group. Building on this, the direct comparison of coccosphere geometries in modern and fossil coccolithophores enables a proxy for growth phase to be developed that can be used to investigate growth responses to environmental change throughout their long evolutionary history. Our data also show that changes in growth rate and coccoliths per cell associated with growth-phase shifts can substantially alter cellular calcite production. Coccosphere geometry is therefore a valuable tool for accessing growth information in the fossil record, providing unprecedented insights into the response of species to environmental change and the potential biogeochemical consequences.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 350.8 kBytes
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  • 3
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    Abundance and calculated biomass of Trichodesmium and diazotrophic diatoms in the southwest Indian Ocean (2013)
    PANGAEA
    Details
    Publication Date: 2023-06-19
    Keywords: Bottle, Niskin; Calculated after Luo et al. (2012); Date/Time of event; DEPTH, water; DI2005-01-28/01; DI2005-01-28/02; DI2005-01-28/03; DI2005-01-28/04; DI2005-01-28/05; DI2005-01-28/06; DI2005-01-28/07; DI2005-01-28/08; DI2005-01-28/09; DI2005-01-29/01; DI2005-01-29/02; DI2005-01-29/03; DI2005-01-29/04; DI2005-01-29/05; DI2005-01-29/06; DI2005-01-29/07; DI2005-01-29/08; DI2005-01-29/09; DI2005-01-29/10; DI2005-01-29/11; DI2005-01-29/12; DI2005-01-29/13; DI2005-01-29/14; DI2005-01-29/15; DI2005-01-29/16; DI2005-01-29/17; DI2005-01-29/18; DI2005-01-29/19; DI2005-01-29/20; DI2005-01-29/21; DI2005-01-29/22; DI2005-01-29/23; DI2005-01-30/01; DI2005-01-30/02; DI2005-01-30/03; DI2005-01-30/04; DI2005-01-30/05; DI2005-01-30/06; DI2005-01-30/07; DI2005-01-30/08; DI2005-01-30/09; DI2005-01-30/10; DI2005-01-30/11; DI2005-01-30/12; DI2005-01-30/13; DI2005-01-30/14; DI2005-01-30/15; DI2005-01-30/16; DI2005-01-30/17; DI2005-01-30/18; DI2005-01-30/19; DI2005-01-30/20; DI2005-01-30/21; DI2005-01-30/22; DI2005-01-30/23; DI2005-01-31/01; DI2005-01-31/02; DI2005-01-31/03; DI2005-01-31/04; DI2005-01-31/05; DI2005-01-31/06; DI2005-01-31/07; DI2005-01-31/08; DI2005-02-01/01; DI2005-02-01/02; DI2005-02-01/03; DI2005-02-01/04; DI2005-02-01/05; DI2005-02-01/06; DI2005-02-01/07; DI2005-02-01/08; DI2005-02-01/09; DI2005-02-01/10; DI2005-02-01/11; DI2005-02-01/12; DI2005-02-02/02; DI2005-02-02/03; DI2005-02-02/04; DI2005-02-02/05; DI2005-02-02/06; DI2005-02-02/07; DI2005-02-02/08; DI2005-02-02/09; DI2005-02-02/10; DI2005-02-02/11; DI2005-02-02/12; DI2005-02-02/13; DI2005-02-02/14; DI2005-02-02/15; DI2005-02-03/01; DI2005-02-03/02; DI2005-02-03/03; DI2005-02-03/04; DI2005-02-03/05; DI2005-02-03/06; DI2005-02-03/07; DI2005-02-03/08; DI2005-02-03/09; DI2005-02-03/10; DI2005-02-03/11; DI2005-02-03/12; DI2005-02-03/13; DI2005-02-03/14; DI2005-02-03/15; DI2005-02-04/01; DI2005-02-04/02; DI2005-02-04/03; DI2005-02-04/04; DI2005-02-05/01; DI2005-02-05/02; DI2005-02-05/03; DI2005-02-05/04; DI2005-02-05/05; DI2005-02-05/06; DI2005-02-05/07; DI2005-02-05/08; DI2005-02-05/09; DI2005-02-05/10; DI2005-02-05/11; DI2005-02-05/12; DI2005-02-05/13; DI2005-02-05/14; DI2005-02-05/15; DI2005-02-05/16; DI2005-02-05/17; DI2005-02-06/01; DI2005-02-06/02; DI2005-02-06/03; DI2005-02-06/04; DI2005-02-06/05; DI2005-02-06/06; DI2005-02-06/07; DI2005-02-06/08; DI2005-02-06/09; DI2005-02-06/10; DI2005-02-06/11; DI2005-02-06/12; DI2005-02-06/13; DI2005-02-06/14; DI2005-02-06/15; DI2005-02-06/16; DI2005-02-06/17; DI2005-02-06/18; DI2005-02-06/19; DI2005-02-06/20; DI2005-02-06/21; DI2005-02-06/22; DI2005-02-06/23; DI2005-02-06/24; DI2005-02-07/01; DI2005-02-07/02; DI2005-02-07/03; DI2005-02-07/04; DI2005-02-07/05; DI2005-02-07/06; DI2005-02-07/07; DI2005-02-07/08; DI2005-02-07/09; DI2005-02-07/10; DI2005-02-07/11; DI2005-02-07/12; DI2005-02-07/13; DI2005-02-07/14; DI2005-02-07/15; DI2005-02-07/16; DI2005-02-07/17; DI2005-02-07/18; DI2005-02-07/19; DI2005-02-07/20; DI2005-02-07/21; DI2005-02-07/22; DI2005-02-07/23; DI2005-02-07/24; DI2005-02-08/01; DI2005-02-08/02; DI2005-02-08/03; DI2005-02-08/04; DI2005-02-08/05; DI2005-02-08/06; DI2005-02-08/07; DI2005-02-08/08; DI2005-02-08/09; DI2005-02-08/10; DI2005-02-08/11; DI2005-02-08/12; DI2005-02-08/13; DI2005-02-08/14; DI2005-02-08/15; DI2005-02-08/16; DI2005-02-08/17; DI2005-02-08/18; DI2005-02-08/19; DI2005-02-08/20; DI2005-02-08/21; DI2005-02-08/22; DI2005-02-08/23; DI2005-02-08/24; DI2005-02-09/01; DI2005-02-09/02; DI2005-02-09/03; DI2005-02-09/04; DI2005-02-09/05; DI2005-02-09/06; DI2005-02-09/07; DI2005-02-09/08; DI2005-02-09/09; DI2005-02-09/10; DI2005-02-09/11; DI2005-02-09/12; DI2005-02-09/13; DI2005-02-09/14; DI2005-02-09/15; DI2005-02-09/16; DI2005-02-09/17; DI2005-02-10/01; DI2005-02-10/02; DI2005-02-10/03; DI2005-02-10/04; DI2005-02-10/05; DI2005-02-10/06; DI2005-02-10/07; DI2005-02-10/08; DI2005-02-10/09; DI2005-02-11/01; DI2005-02-11/02; DI2005-02-11/03; DI2005-02-11/04; DI2005-02-11/05; DI2005-02-11/06; DI2005-02-11/07; DI2005-02-11/08; DI2005-02-11/09; DI2005-02-11/10; DI2005-02-11/11; DI2005-02-12/01; DI2005-02-12/02; DI2005-02-12/03; DI2005-02-12/04; DI2005-02-12/05; DI2005-02-12/06; DI2005-02-12/07; DI2005-02-12/08; DI2005-02-12/09; DI2005-02-12/10; DI2005-02-12/11; DI2005-02-12/12; DI2005-02-12/13; DI2005-02-13/01; DI2005-02-13/02; DI2005-02-13/03; DI2005-02-13/04; DI2005-02-13/05; DI2005-02-13/06; DI2005-02-13/07; DI2005-02-13/08; DI2005-02-13/09; DI2005-02-13/10; DI2005-02-13/11; DI2005-02-13/12; DI2005-02-14/01; DI2005-02-14/02; DI2005-02-14/03; DI2005-02-14/04; DI2005-02-14/05; DI2005-02-14/06; DI2005-02-14/07; DI2005-02-14/08; DI2005-02-14/09; DI2005-02-14/10; DI2005-02-14/11; DI2005-02-14/12; DI2005-02-14/13; DI2005-02-14/14; DI2005-02-14/15; DI2005-02-14/16; DI2005-02-14/17; DI2005-02-14/18; DI2005-02-14/19; DI2005-02-15/01; DI2005-02-15/02; DI2005-02-15/03; DI2005-02-15/04; DI2005-02-15/05; DI2005-02-15/06; DI2005-02-15/07; DI2005-02-15/08; DI2005-02-15/09; DI2005-02-15/10; DI2005-02-15/11; DI2005-02-15/12; DI2005-02-15/13; DI2005-02-15/14; DI2005-02-15/15; DI2005-02-15/16; DI2005-02-15/17; DI2005-02-15/18; DI2005-02-15/19; DI2005-02-15/20; DI2005-02-15/21; DI2005-02-15/22; DI2005-02-15/23; DI2005-02-15/24; DI2005-02-15/25; DI2005-02-16/01; DI2005-02-16/02; DI2005-02-16/03; DI2005-02-16/04; DI2005-02-16/05; DI2005-02-16/06; DI2005-02-16/07; DI2005-02-16/08; DI2005-02-16/09; DI2005-02-16/10; DI2005-02-16/11; DI2005-02-16/12; DI2005-02-16/13; DI2005-02-16/14; DI2005-02-17/01; DI2005-02-17/02; DI2005-02-17/03; DI2005-02-17/04; DI2005-02-17/05; DI2005-02-17/06; DI2005-02-17/07; DI2005-02-17/08; DI2005-02-17/09; DI2005-02-17/10; DI2005-02-17/11; DI2005-02-17/12; DI2005-02-17/13; DI2005-02-17/14; DI2005-02-17/15; DI2005-02-17/16; DI2005-02-17/17; DI2005-02-18/01; DI2005-02-18/02; DI2005-02-18/03; DI2005-02-18/04; DI2005-02-18/05; DI2005-02-18/06; DI2005-02-18/07; Diazotrophs, total biomass as carbon; Event label; Heterocyst, biomass; Indian Ocean; Latitude of event; Light microscope; Longitude of event; MAREDAT_Diazotrophs_Collection; NIS; Nitrate; Phosphate; Richelia, associated species; Richelia, carbon per cell; Richelia abundance, cells; Trichodesmium, biomass as carbon; Trichodesmium, carbon per trichome; Trichodesmium abundance, colonies; Trichodesmium abundance, free trichomes; Trichodesmium abundance, total
    Type: Dataset
    Format: text/tab-separated-values, 3975 data points
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  • 4
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    Abundance and calculated biomass of large-scale distribution from Atlantic nitrogen fixation controlled by iron availability (2013)
    PANGAEA
    Details
    Publication Date: 2023-07-08
    Keywords: AMT17/03; AMT17/04; AMT17/05; AMT17/06; AMT17/08; AMT17/10; Atlantic; Calculated after Luo et al. (2012); DEPTH, water; Diazotrophs, total biomass as carbon; Event label; Iron; Latitude of event; Light microscope; Longitude of event; MAREDAT_Diazotrophs_Collection; Nitrate; Phosphate; Salinity; Temperature, water; Trichodesmium, biomass as carbon; Trichodesmium, carbon per trichome; Trichodesmium abundance, free trichomes; Trichodesmium abundance, total
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
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  • 5
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    Nitrogen fixation rate of large-scale distribution from Atlantic nitrogen fixation controlled by iron availability (2013)
    PANGAEA
    Details
    Publication Date: 2023-07-08
    Keywords: AMT17/01; AMT17/02; AMT17/03; AMT17/04; AMT17/05; AMT17/06; AMT17/07; AMT17/08; AMT17/09; AMT17/10; Atlantic; Calculated after Luo et al. (2012); Date/Time of event; DEPTH, water; Event label; Iron; Latitude of event; Longitude of event; MAREDAT_Diazotrophs_Collection; Nitrate; Nitrogen Fixation (C2H2 Reduction); Nitrogen fixation rate, total; Nitrogen fixation rate, whole seawater; Phosphate; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 275 data points
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  • 6
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    Abundance and calculated biomass of Trichodesmium spp. in the Atlantic Ocean (2013)
    PANGAEA
    Details
    Publication Date: 2023-07-08
    Keywords: AMT1/1995-09-25; AMT1/1995-09-26; AMT1/1995-09-27; AMT1/1995-09-28; AMT1/1995-09-29; AMT1/1995-09-30; AMT1/1995-10-02; AMT1/1995-10-03; AMT1/1995-10-04; AMT1/1995-10-05; AMT1/1995-10-06; AMT1/1995-10-07; AMT1/1995-10-08; AMT1/1995-10-09; AMT1/1995-10-10; AMT1/1995-10-11; AMT1/1995-10-12; AMT1/1995-10-13; AMT1/1995-10-14; AMT1/1995-10-15; AMT1/1995-10-16; AMT1/1995-10-17; AMT1/1995-10-18; AMT1/1995-10-19; AMT1/1995-10-20; AMT10/2000-04-15; AMT10/2000-04-17; AMT10/2000-04-19; AMT10/2000-04-20; AMT10/2000-04-22; AMT10/2000-04-23; AMT10/2000-04-24; AMT10/2000-04-25; AMT10/2000-04-26; AMT10/2000-04-28; AMT10/2000-04-29; AMT10/2000-05-01; AMT10/2000-05-02; AMT2/1996-04-23; AMT2/1996-04-24; AMT2/1996-04-25; AMT2/1996-04-29; AMT2/1996-04-30; AMT2/1996-05-01; AMT2/1996-05-02; AMT2/1996-05-03; AMT2/1996-05-04; AMT2/1996-05-05; AMT2/1996-05-06; AMT2/1996-05-07; AMT2/1996-05-08; AMT2/1996-05-09; AMT2/1996-05-10; AMT2/1996-05-11; AMT2/1996-05-12; AMT2/1996-05-14; AMT2/1996-05-15; AMT2/1996-05-16; AMT2/1996-05-17; AMT2/1996-05-18; AMT2/1996-05-19; AMT2/1996-05-20; AMT2/1996-05-21; AMT3/1996-09-24; AMT3/1996-09-25; AMT3/1996-09-26; AMT3/1996-09-27; AMT3/1996-09-28; AMT3/1996-09-29; AMT3/1996-09-30; AMT3/1996-10-02; AMT3/1996-10-03; AMT3/1996-10-04; AMT3/1996-10-05; AMT3/1996-10-06; AMT3/1996-10-07; AMT3/1996-10-08; AMT3/1996-10-09; AMT3/1996-10-10; AMT3/1996-10-11; AMT3/1996-10-12; AMT3/1996-10-13; AMT3/1996-10-14; AMT3/1996-10-15; AMT3/1996-10-16; AMT3/1996-10-23; AMT3/1996-10-24; AMT3/1996-10-25; AMT4/1997-04-21; AMT4/1997-04-22; AMT4/1997-04-23; AMT4/1997-04-30; AMT4/1997-05-01; AMT4/1997-05-02; AMT4/1997-05-03; AMT4/1997-05-04; AMT4/1997-05-05; AMT4/1997-05-06; AMT4/1997-05-07; AMT4/1997-05-08; AMT4/1997-05-09; AMT4/1997-05-10; AMT4/1997-05-11; AMT4/1997-05-12; AMT4/1997-05-13; AMT4/1997-05-14; AMT4/1997-05-15; AMT4/1997-05-16; AMT4/1997-05-17; AMT4/1997-05-18; AMT4/1997-05-19; AMT4/1997-05-20; AMT4/1997-05-21; AMT4/1997-05-22; AMT4/1997-05-23; AMT5/1997-09-17; AMT5/1997-09-18; AMT5/1997-09-19; AMT5/1997-09-20; AMT5/1997-09-21; AMT5/1997-09-22; AMT5/1997-09-25; AMT5/1997-09-26; AMT5/1997-09-27; AMT5/1997-09-28; AMT5/1997-09-29; AMT5/1997-09-30; AMT5/1997-10-01; AMT5/1997-10-02; AMT5/1997-10-03; AMT5/1997-10-04; AMT5/1997-10-05; AMT5/1997-10-06; AMT5/1997-10-07; AMT5/1997-10-08; AMT5/1997-10-09; AMT5/1997-10-10; AMT5/1997-10-11; AMT5/1997-10-12; AMT5/1997-10-13; AMT5/1997-10-14; AMT5/1997-10-15; AMT5/1997-10-16; AMT6/1998-05-16; AMT6/1998-05-17; AMT6/1998-05-21; AMT6/1998-05-22; AMT6/1998-05-23; AMT6/1998-05-24; AMT6/1998-05-25; AMT6/1998-05-27; AMT6/1998-05-28; AMT6/1998-05-29; AMT6/1998-05-30; AMT6/1998-05-31; AMT6/1998-06-01; AMT6/1998-06-02; AMT6/1998-06-03; AMT6/1998-06-04; AMT6/1998-06-05; AMT6/1998-06-06; AMT6/1998-06-07; AMT6/1998-06-08; AMT6/1998-06-09; AMT7/1998-09-15; AMT7/1998-09-16; AMT7/1998-09-17; AMT7/1998-09-22; AMT7/1998-09-23; AMT7/1998-09-25; AMT7/1998-09-26; AMT7/1998-09-27; AMT7/1998-09-28; AMT7/1998-09-29; AMT7/1998-10-01; AMT7/1998-10-02; AMT7/1998-10-03; AMT7/1998-10-04; AMT7/1998-10-05; AMT7/1998-10-06; AMT7/1998-10-07; AMT7/1998-10-08; AMT7/1998-10-09; AMT7/1998-10-10; AMT7/1998-10-11; AMT7/1998-10-12; AMT7/1998-10-13; AMT7/1998-10-14; AMT7/1998-10-15; AMT7/1998-10-16; AMT8/1999-05-05; AMT8/1999-05-06; AMT8/1999-05-07; AMT8/1999-05-08; AMT8/1999-05-09; AMT8/1999-05-10; AMT8/1999-05-12; AMT8/1999-05-13; AMT8/1999-05-18; AMT8/1999-05-19; AMT8/1999-05-20; AMT8/1999-05-21; AMT8/1999-05-22; AMT8/1999-05-23; AMT8/1999-05-24; AMT8/1999-05-25; AMT8/1999-05-26; AMT8/1999-05-27; AMT8/1999-05-28; AMT8/1999-05-29; AMT8/1999-05-30; AMT8/1999-05-31; AMT8/1999-06-01a; AMT8/1999-06-01b; AMT8/1999-06-02; AMT8/1999-06-03; AMT8/1999-06-04; Atlantic; Calculated after Luo et al. (2012); Date/Time of event; DEPTH, water; Diazotrophs, total biomass as carbon; Event label; Latitude of event; Light microscope; Longitude of event; MAREDAT_Diazotrophs_Collection; MULT; Multiple investigations; Sample comment; Trichodesmium, biomass as carbon; Trichodesmium, carbon per trichome; Trichodesmium abundance, colonies; Trichodesmium abundance, total
    Type: Dataset
    Format: text/tab-separated-values, 1342 data points
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  • 7
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    Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types (2012)
    PANGAEA
    Details
    Publication Date: 2023-07-05
    Description: 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.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 30.6 MBytes
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  • 8
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    Coccolithophore and diatom cell abundance from the upper mixed later of the Great Calcite Belt, January- February 2011 in the South Atlantic Ocean and February-March 2012 in the South Indian Ocean (2017)
    PANGAEA
    In:  Supplement to: Smith, Helen Elizabeth Katie; Poulton, Alex J; Garley, Rebecca; Hopkins, Jason; Lubelczyk, Laura C; Drapeau, Dave T; Rauschenberg, Sara; Twining, Ben S; Bates, Nicolas R; Balch, William M (2017): The Influence of Environmental Variability on the Biogeography of Coccolithophores and Diatoms in the Great Calcite Belt. Biogeosciences Discussions, 35 pp, https://doi.org/10.5194/bg-2017-110
    Details
    Publication Date: 2023-10-14
    Description: This data was collected as part of the Great Calcite Belt project, from 60W to 120E and 30S to 60S. during MV1101 onboard R/V Melville, January- February 2011 in the South Atlantic Ocean and RR1202 onboard the R/V Roger Revelle, February-March 2012 in the South Indian Ocean. Samples for biomineralizing phytoplankton community structure were taken from the upper 30 m of the water column. This data consists of coccolithophore and diatom cell abundances.
    Keywords: Acanthoica quattrospina; Actinocyclus sp.; Alisphaera sp.; Asteromphalus sp.; Azpeitia; Calcidiscus leptoporus; Calciopappus sp.; Calciosolenia sp.; Chaetoceros aequatorialis; Chaetoceros aequatorialis var. antarctica; Chaetoceros atlanticus; Chaetoceros bulbosus; Chaetoceros castracanei; Chaetoceros cf. atlanticus; Chaetoceros cf. pendulus; Chaetoceros concavicornis; Chaetoceros convolutus; Chaetoceros debilis; Chaetoceros dichaeta; Chaetoceros laciniosus; Chaetoceros peruvianus; Chaetoceros radicans; Chaetoceros sp.; Chaetoceros spp.; Coccolithophores; Corethron inerme; Corisphaera gracilis; Coronosphaera mediterranea; Coscinodiscus sp.; CTD/Rosette; CTD-RO; Cylindrotheca closterium; Dactyliosolen spp.; Date/Time of event; DEPTH, water; Diatoms; Diatoms, centrales; Diatoms, pennales; Discosphaera tubifera; Emiliania huxleyi; Eucampia sp.; Event label; Fragilariopsis curta; Fragilariopsis cylindrus; Fragilariopsis kerguelensis; Fragilariopsis nana; Fragilariopsis pseudonana; Fragilariopsis rhombica; Fragilariopsis ritscheri; Fragilariopsis separanda; Fragilariopsis spp.; Gephyrocapsa ericsonii; Gephyrocapsa mullerae; GreatCalciteBelt; Haslea sp.; Helicosphaera spp.; Holococcolithophore stage of life-cycle; Homozygosphaera sp.; Indian Ocean; Latitude of event; Leptocylindrus mediterraneus; Longitude of event; Melville; Membraneis sp.; Michaelsarsia sp.; Minidiscus sp.; MV1101; MV1101_GCB1-101; MV1101_GCB1-109; MV1101_GCB1-117; MV1101_GCB1-16; MV1101_GCB1-25; MV1101_GCB1-32; MV1101_GCB1-46; MV1101_GCB1-59; MV1101_GCB1-6; MV1101_GCB1-70; MV1101_GCB1-77; MV1101_GCB1-85; MV1101_GCB1-92; Nanoneis hasleae; Navicula sp.; Nitzschia; Nitzschia acicularis; Nitzschia bicapitata; Nitzschia braarudii; Nitzschia longissima; Nitzschia sicula var. bicuneata; Oolithotus sp.; Ophiaster sp.; Palusphaera sp.; Papposphaera sp.; Porosira glacialis; Proboscia sp.; Pseudo-nitzschia sp.; Rhabdosphaera sp.; Rhizosolenia sp.; Roger A. Revelle; RR1202; RR1202_GCB2-100; RR1202_GCB2-106; RR1202_GCB2-112; RR1202_GCB2-119; RR1202_GCB2-13; RR1202_GCB2-27; RR1202_GCB2-36; RR1202_GCB2-43; RR1202_GCB2-5; RR1202_GCB2-53; RR1202_GCB2-63; RR1202_GCB2-73; RR1202_GCB2-87; RR1202_GCB2-93; Scanning electron microscope (Leo 1450VP, Carl Zeiss) with software SmartSEM; Scotia Sea; South Atlantic Ocean; Syracosphaera molischii; Syracosphaera nodosa spp.; Syracosphaera pulchra; Syracosphaera pulchra spp.; Syracosphaera sp.; Thalassionema nitzschioides; Thalassiosira ambigua; Thalassiosira antarctica; Thalassiosira cf. lineata; Thalassiosira cf. oestrupii; Thalassiosira cf. symmetrica; Thalassiosira dichotomica; Thalassiosira ferelineata; Thalassiosira frenguellii; Thalassiosira frenguelliopsis; Thalassiosira gracilis var. expecta; Thalassiosira gracilis var. gracilis; Thalassiosira gravida; Thalassiosira lentiginosa; Thalassiosira oceanica; Thalassiosira partheneia; Thalassiosira perpusilla; Thalassiosira poroseriata; Thalassiosira spp.; Thalassiosira trifulta; Thalassiosira tumida; Thalassiothrix antarctica; The Great Southern Coccolithophore Belt; Umbellosphaera tenuis; Umbilicosphaera
    Type: Dataset
    Format: text/tab-separated-values, 2889 data points
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  • 9
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    Coccolithophore abundance and biometry in the South China Sea, 2014 (2016)
    PANGAEA
    In:  Supplement to: Jin, Xiaobo; Liu, Chuanlian; Poulton, Alex J; Dai, Minhan; Guo, X (2016): Coccolithophore responses to environmental variability in the South China Sea: species composition and calcite content. Biogeosciences, 13(16), 4843-4861, https://doi.org/10.5194/bg-13-4843-2016
    Details
    Publication Date: 2023-09-23
    Description: Coccolithophore contributions to the global marine carbon cycle are regulated by the calcite content of their scales (coccoliths), and the relative cellular levels of photosynthesis and calcification. All three of these factors vary between coccolithophore species, and with response to the growth environment. Here, water samples were collected in the northern basin of the South China Sea (SCS) during summer 2014 in order to examine how environmental variability influenced species composition and cellular levels of calcite content. The vertical structure of the coccolithophore community was strongly regulated by mesoscale eddies. All living coccolithophores produced within the euphotic zone (1 % of surface irradiance), and Florisphaera profunda was a substantial coccolithophore and coccolith-calcite producer in the Deep Chlorophyll-a Maximum (DCM), especially in most oligotrophic anti-cyclonic eddy centers. Placolith-bearing coccolithophores, plus F. profunda, and other larger and numerically rare species made almost equal contributions to coccolith-based calcite in the water column. For Emiliania huxleyi biometry measurements, coccolith size positively correlated with nutrients, and it is suggested that coccolith length is influenced by nutrient and light related growth rates. However, larger sized coccoliths were related to low pH and calcite saturation, although it is not a simple cause and effect relationship. Genotypic or ecophenotypic variation may also be linked to coccolith size variation.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 10
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    Distal shield length, coccosphere diameter and number of coccoliths per coccosphere of Emiliania huxleyi in the South China Sea, 2014 (2016)
    PANGAEA
    Details
    Publication Date: 2023-09-23
    Keywords: Coccoliths per coccosphere; Coccosphere, diameter; CTD; CTD/Rosette; CTD-RO; D9; Date/Time of event; DEPTH, water; Emiliania huxleyi, distal shield, length; Event label; F1; Latitude of event 2; Longitude of event; Sample code/label; SCS_D9; SCS_F1; SCS_G2; SCS_H3; SCS_I3; SCS_X3; SCS_X4; SCS_X5; South China Sea
    Type: Dataset
    Format: text/tab-separated-values, 408 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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