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  • 1
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    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
    Publication Date: 2024-07-06
    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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    PANGAEA
    In:  Supplement to: Edmunds, Peter J; Brown, Darren; Moriarty, Vincent (2012): Interactive effects of ocean acidification and temperature on two scleractinian corals from Moorea, French Polynesia. Global Change Biology, 18(7), 2173-2183, https://doi.org/10.1111/j.1365-2486.2012.02695.x
    Publication Date: 2024-07-06
    Description: This study tested the hypothesis that the response of corals to temperature and pCO2 is consistent between taxa. Juvenile massive Porites spp. and branches of P. rus from the back reef of Moorea were incubated for 1 month under combinations of temperature (29.3 °C and 25.6 °C) and pCO2 (41.6 Pa and 81.5 Pa) at an irradiance of 599 µmol quanta/m/s. Using microcosms and CO2 gas mixing technology, treatments were created in a partly nested design (tanks) with two between-plot factors (temperature and pCO2), and one within-plot factor (taxon); calcification was used as a dependent variable. pCO2 and temperature independently affected calcification, but the response differed between taxa. Massive Porites spp. was largely unaffected by the treatments, but P. rus grew 50% faster at 29.3 °C compared with 25.6 °C, and 28% slower at 81.5 Pa vs. 41.6 Pa CO2. A compilation of studies placed the present results in a broader context and tested the hypothesis that calcification for individual coral genera is independent of pH, [HCO3]-, and [CO3]2-. Unlike recent reviews, this analysis was restricted to studies reporting calcification in units that could be converted to nmol CaCO3/cm**2/h. The compilation revealed a high degree of variation in calcification as a function of pH, [HCO3]-, and [CO3]2-, and supported three conclusions: (1) studies of the effects of ocean acidification on corals need to pay closer attention to reducing variance in experimental outcomes to achieve stronger synthetic capacity, (2) coral genera respond in dissimilar ways to pH, [HCO3]-, and [CO3]2-, and (3) calcification of massive Porites spp. is relatively resistant to short exposures of increased pCO2, similar to that expected within 100 y.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Benthic animals; Benthos; Bicarbonate ion; Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cnidaria; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; French Polynesia; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Moorea; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; Porites rus; Porites sp.; Potentiometric titration; Salinity; Sample code/label; Sample ID; Single species; South Pacific; Species; Spectrophotometric; Surface area; Temperature; Temperature, water; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 2080 data points
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  • 3
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    PANGAEA
    In:  Max-Planck-Institut für Marine Mikrobiologie
    Publication Date: 2024-07-05
    Keywords: Bottle, Niskin 5-L; DEPTH, sediment/rock; ECO2; ECO2-2; ECO2-2-NIS-1; ECO2-2-NIS-2; ECO2-2-NIS-3; ECO2-2-NIS-4; Epifluorescence microscopy after DAPI staining; Event label; Latitude of event; Longitude of event; NIS_5L; Panarea; Prokaryotes, abundance as single cells; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 4
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    PANGAEA
    In:  Max-Planck-Institut für Marine Mikrobiologie
    Publication Date: 2024-07-05
    Keywords: DEPTH, sediment/rock; ECO2; ECO2-2; ECO2-2-PUC-1a; ECO2-2-PUC-1b; ECO2-2-PUC-1c; ECO2-2-PUC-2a; ECO2-2-PUC-2b; ECO2-2-PUC-2c; Epifluorescence microscopy (Boetius et al. 2000); Event label; Latitude of event; Longitude of event; Panarea; Prokaryotes, abundance as single cells; PUC; Push corer; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 5
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    PANGAEA
    In:  Department of Earth Science, University of Bergen
    Publication Date: 2024-07-05
    Keywords: Argon; Carbon dioxide; Carbon monoxide; CGB-ECO2-108-B-17; CGB-ECO2-108-B-26; CGB-ECO2-108-B-27; CGB-ECO2-2011-B; CO2BaseSleipner; ECO2; Elevation of event; Ethane; Ethene; Event label; G. O. Sars (2003); Gas chromatography; Hydrogen, gas; Isobutane; Isotope ratio mass spectrometry; Latitude of event; Longitude of event; Methane; n-Butane; Nitrogen, gas; Oxygen, gas; Propane; Remote operated vehicle; ROV; ROV-03; ROV-08; ROV-09; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; δ13C, methane; δ13C, methane, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 6
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    PANGAEA
    In:  Department of Earth Science, University of Bergen
    Publication Date: 2024-07-05
    Keywords: Carbon dioxide; CGB-ECO2-108-34; CGB-ECO2-2011; DEPTH, water; ECO2; G. O. Sars (2003); Gas chromatography; Hydrogen; LATITUDE; LONGITUDE; Methane; Remote operated vehicle; ROV; ROV-10; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 7
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    PANGAEA
    In:  Department of Earth Science, University of Bergen
    Publication Date: 2024-07-05
    Keywords: Argon; Carbon dioxide; Carbon monoxide; CGB-ECO2-108-15; CGB-ECO2-2011; DEPTH, water; ECO2; G. O. Sars (2003); Gas chromatography; Hydrogen, gas; LATITUDE; LONGITUDE; Methane; Nitrogen, gas; Oxygen, gas; Remote operated vehicle; ROV; ROV-04; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Trollveggen, Jan Mayen vent field
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 8
    Publication Date: 2024-07-05
    Keywords: AGE; Alnus; Artemisia; Betula; Caryophyllaceae; COMPCORE; Composite Core; Counting, palynology; Cyperaceae; ELGYGYTGYN; Elgygytgyn crater lake, Sibiria, Russia; Ericales; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Lake Elgygytgyn - Climate History of the Arctic since 3.6 Million Years; Larix; Lycopodium annotinum-type; Papaveraceae; Picea sect. Eupicea; Pinus subgen. Haploxylon-type; Poaceae; Ranunculaceae; Salix; Sampling on land; Saxifragaceae; Selaginella rupestris; Sphagnum; Thalictrum
    Type: Dataset
    Format: text/tab-separated-values, 1782 data points
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  • 9
    Publication Date: 2024-07-05
    Type: info:eu-repo/semantics/article
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  • 10
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    Paleontological Society
    Publication Date: 2024-07-04
    Description: The underlying basis for Mg/Ca paleothermometry is that the amount of magnesium in calcite precipitated from seawater is dependent on temperature. Here we review the state of the art of the Mg/Ca seawater paleotemperature proxy, summarized by the following: 1) Calcite, whether formed abiotically or biologically as foraminifera and ostracode shells, incörporates variable amounts of magnesium into the crystal structure. 2) Uptake of Mg varies positively with temperature. 3) The relationship between temperature and the amount of Mg in calcite has been quantified by experiments on synthetic calcite growth and by culture, core top, and sediment trap experiments using living organisms. 4) The most careful calibrations of the Mg/Ca paleothermometer have been done for planktic foraminifera, then benthic foraminifera; there are species-specific variations in the amount of Mg incorporated into foraminifera shells. 5) The Mg/Ca ratio of calcite from planktic foraminifera in deep-sea cores has been widely used to interpret sea surface temperatures. 6) Measurement of both Mg/Ca and δ18O in planktic foraminifera have been used to calculate δ18O in seawater, and after correction for global ice volume, salinity could be inferred. 7) Mg/Ca from benthic foraminifera have been used to reconstruct deep-sea temperatures and cooling of ~12°C over the last 50 million years. 8) One problem with the Mg/Ca seawater temperature proxy is partial dissolution of. foraminifer shells, which lowers the Mg/Ca, and leads to an underestimation of ocean temperature. Benthic foraminifers appear to be more resistant to partial dissolution. 9) Past changes in the Mg/Ca ratio of seawater are an important factor in determining the amount of Mg in fossil skeletal calcite, and thus add another variable to the Mg/Ca temperature proxy. All Mg/Ca paleotemperature studies on fossil calcite older than Pleistocene should take into account the Mg/Ca of the seawater from which it precipitated.
    Type: Book chapter , PeerReviewed
    Format: text
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