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  • PANGAEA  (15)
  • AMER GEOPHYSICAL UNION  (1)
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Keywords
  • 1
    Publication Date: 2023-02-24
    Keywords: WOCE; World Ocean Circulation Experiment
    Type: Dataset
    Format: text/html, 7 kBytes
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  • 2
    Publication Date: 2023-05-12
    Keywords: 238-3; Center for Marine Environmental Sciences; DEPTH, water; Equivalent spherical diameter, mean; GeoB12914-4; MARUM; PARCA; Particle camera; POS365/2; Poseidon; Sinking velocity; VIDEO; Video camera
    Type: Dataset
    Format: text/tab-separated-values, 107 data points
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  • 3
    Publication Date: 2023-05-12
    Keywords: 375; Center for Marine Environmental Sciences; DEPTH, water; Digital camera, NIKON Coolpix; GeoB11834-3; Maria S. Merian; MARUM; MSM04/4b; PARCA; Particle camera; Particle concentration
    Type: Dataset
    Format: text/tab-separated-values, 229 data points
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  • 4
    Publication Date: 2023-05-12
    Description: Particles sinking out of the euphotic zone are important vehicles of carbon export from the surface ocean. Most of the particles produce heavier aggregates by coagulating with each other before they sink. We implemented an aggregation model into the biogeochemical model of Regional Oceanic Modelling System (ROMS) to simulate the distribution of particles in the water column and their downward transport in the Northwest African upwelling region. Accompanying settling chamber, sediment trap and particle camera measurements provide data for model validation. In situ aggregate settling velocities measured by the settling chamber were around 55 m d**-1. Aggregate sizes recorded by the particle camera hardly exceeded 1 mm. The model is based on a continuous size spectrum of aggregates, characterised by the prognostic aggregate mass and aggregate number concentration. Phytoplankton and detritus make up the aggregation pool, which has an averaged, prognostic and size dependent sinking. Model experiments were performed with dense and porous approximations of aggregates with varying maximum aggregate size and stickiness as well as with the inclusion of a disaggregation term. Similar surface productivity in all experiments has been generated in order to find the best combination of parameters that produce measured deep water fluxes. Although the experiments failed to represent surface particle number spectra, in the deep water some of them gave very similar slope and spectrum range as the particle camera observations. Particle fluxes at the mesotrophic sediment trap site off Cape Blanc (CB) have been successfully reproduced by the porous experiment with disaggregation term when particle remineralisation rate was 0.2 d**-1. The aggregation-disaggregation model improves the prediction capability of the original biogeochemical model significantly by giving much better estimates of fluxes for both upper and lower trap. The results also point to the need for more studies to enhance our knowledge on particle decay and its variation and to the role that stickiness play in the distribution of vertical fluxes.
    Keywords: 238-3; 375; Center for Marine Environmental Sciences; GeoB11834-3; GeoB12914-4; Maria S. Merian; MARUM; MSM04/4b; PARCA; Particle camera; POS365/2; Poseidon
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
    Publication Date: 2023-06-08
    Type: Dataset
    Format: application/pdf, 2.1 MBytes
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  • 6
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    Unknown
    PANGAEA
    In:  Supplement to: Mackensen, Andreas; Hubberten, Hans-Wolfgang; Scheele, Norbert; Schlitzer, Reiner (1996): Decoupling of d13CSUMCO2 and phosphate in recent Weddell Sea deep and bottom water: implications for glacial Southern Ocean paleoceanography. Paleoceanography, 11(2), 203-215, https://doi.org/10.1029/95PA03840
    Publication Date: 2023-06-27
    Description: On a section between 72°S and 42°S and a transect between 60°E and 10°E through the Weddell Sea and the southernmost eastern Atlantic Ocean, the water column was sampled on 72 stations, and the stable carbon isotopic composition of total dissolved inorganic carbon (delta13C(SumCO2)) as well as the stable oxygen isotopic composition of seawater (delta18O) was determined. These data were compared with potential temperature, salinity, dissolved oxygen and phosphate data from the same stations. The observed delta13C(SumCO2)/PO4[3-] relationship in the deep Weddell Sea strongly differs from the global Redfield-driven deep water relationship. We attribute this to enhanced thermodynamic fractionation at sites of bottom water formation that decouples the nutrient signal from the delta13C(SumCO2) signal not only in surface and intermediate water masses but also in deep and bottom water. Different, water-mass specific thermodynamic imprints due to different modes of bottom water formation are assumed to cause the observed deviation from the global delta13C(SumCO2)/PO4[3-] relationship in the deep Weddell Sea. The influence of increased photosynthetic fractionation, i.e., a more negative than low-latitude isotopic organic carbon composition, is shown to be minor. As a result, Recent Weddell Sea deep and bottom water delta13C(SumCO2) is by 0.4-0.5 per mil higher than expected if solely biologic fractionation would occur. A discussion of simple hypotheses of Weddell Sea deep and bottom water formation during glacial times reveals that regardless of what scenario is considered, the thermodynamic imprint on Southern Ocean deep water would increase. This makes it difficult to explain low glacial delta13C values observed in benthic foraminifera from the subpolar Southern Ocean as being calcified in Antarctic source bottom water and thus is in support of hypotheses looking for additional sites of deep water formation.
    Keywords: Agulhas Basin; ANT-VIII/2; ANT-VIII/3; Atlantic Ridge; AWI_Paleo; Calculated after Broecker & Maier-Reimer 1992; CFA; Continuous Flow Analysis; CTD, Neil Brown, Mark III B; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Indian-Antarctic Ridge; Latitude of event; Longitude of event; Mass spectrometer Finnigan Delta-S; Mass spectrometer Finnigan MAT 252; Meteor Rise; MUC; MULT; MultiCorer; Multiple investigations; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Phosphate; Polarstern; Pressure, water; PS16; PS16/119; PS16/124; PS16/129; PS16/134; PS16/137; PS16/140; PS16/143; PS16/145; PS16/146; PS16/147; PS16/149; PS16/150; PS16/151; PS16/152; PS16/153; PS16/154; PS16/155; PS16/156; PS16/157; PS16/159; PS16/162; PS16/164; PS16/166; PS16/167; PS16/169; PS16/171; PS16/172; PS16/174; PS16/176; PS16/177; PS16/179; PS16/180; PS16/182; PS16/183; PS16/184; PS16/185; PS16/186; PS16/187; PS16/188; PS16/189; PS16/192; PS16/193; PS16/194; PS16/195; PS16/197; PS16/198; PS16/199; PS16/200; PS16/201; PS16/202; PS16/203; PS16/204; PS16/205; PS16/207; PS16/208; PS16/209; PS16/210; PS16/211; PS16/212; PS16/213; PS16/217; PS16/219; PS16/221; PS16/262; PS16/267; PS16/281; PS16/294; PS16/297; PS16/311; PS16/316; PS16/321; PS16/323; PS16 06AQANTVIII_2; PS1750-7; PS1751-1; PS1755-2; PS1759-5; PS1760-1; PS1768-4; PS1771-4; PS1772-1; PS1773-3; Salinity; SFB261; Shona Ridge; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; Temperature, water, potential; Van Heesen Ridge; Water sample; Weddell Sea; WS; Δδ13C; δ13C, dissolved inorganic carbon; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 7920 data points
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  • 7
    Publication Date: 2024-02-29
    Keywords: A150/180; A152-84; A153-154; A157-3; A164-13; A164-15; A164-16; A164-17; A164-23; A167-12; A167-13; A167-18TW; A167-1TW; A179-13; A179-15; A179-20; A179-24; A179-6; A179-7; A180-13; A180-15; A180-20; A180-39; A180-69; A180-70; A180-72; A180-76; A180-78; A181/185; A181-7; A181-9; A260210A; Atlantic; Atlantic Ocean; AWI_Paleo; Barcelona Coast; Calculated; Calculated, see reference(s); Chlorophyll total; CIRCE; CIRCE-239; CLIMAP; Climate: Long-Range Investigation, Mapping, and Prediction; Cork Harbour; Danube Delta; Danube Delta Coast; DEPTH, water; Event label; FFC; Free fall corer; Grab; GRAB; Guadiana Estuary; Gulf of Riga; Himmerfjarden; Indian Ocean; KM1-41; LATITUDE; Limfjorden; LONGITUDE; Melville; Oder Estuary; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; PC; Pertuis Charentais; Piston corer; RC08; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC09; RC09-212; RC09-222; RC09-225; RC09-61; RC10; RC10-22; RC10-49; RC11; RC11-10; RC11-11; RC1112; RC11-12; RC11-13; RC11-14; RC11-15; RC11-16; RC11-21; RC11-22; RC11-255; RC11-26; RC11-260; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-86; RC11-9; RC12; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC12-304; RC13; RC13-158; RC13-189; RC13-190; RC13-195; RC13-196; RC13-197; RC13-199; RC13-209; RC13-210; RC13-229; RC13-242; RC13-253; RC13-275; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RE009-7; Robert Conrad; Scheldt Delta Estuary; Sea surface temperature, annual mean; Sea surface temperature, production weighted; Sea surface temperature, seasonal, delta; Sea surface temperature, spring; SFB261; South Atlantic in Late Quaternary: Reconstruction of Budget and Currents; South Atlantic Ocean; SP009-003; SP010-005; Taranto Mare Piccolo; TC; Thau Lagoon; Thermaikos Gulf; Trigger corer; V02; V02-9; V03; V03-128; V04; V04-12; V04-32; V04-8; V05; V05-1; V05-31; V05-40; V06; V06-5; V07; V07-13; V07-42; V07-53; V07-67; V07-68; V09; V09-31; V10; V10-88; V10-89; V12; V12-122; V12-18; V12-4; V12-43; V12-53; V12-56; V12-66; V12-7; V12-79; V12-80; V14; V14-4; V14-47; V14-5; V14-7; V15; V15-136; V15-137; V15-164; V15-206; V16; V16-189; V16-190; V16-20; V16-200; V16-205; V16-206; V16-209; V16-21; V16-227; V16-23; V16-31; V16-33; V16-35; V16-36; V16-37; V16-39; V16-41; V16-50; V17; V17-1; V17-144; V17-147; V17-158; V17-162; V17-163; V17-164; V17-165; V17-192; V17-196; V18; V18-110; V18-117; V18-126; V18-16; V18-168; V18-182; V18-21; V18-34; V18-373; V19; V19-240; V19-242; V19-245; V19-246; V19-248; V19-262; V19-283; V19-296; V19-298; V19-308; V20; V20-213; V20-227; V20-228; V20-230; V20-233; V20-234; V20-235; V20-242; V20-253; V20-7; V22; V22-106; V22-107; V22-122; V22-168; V22-169; V22-172; V22-175; V22-177; V22-179; V22-180; V22-182; V22-188; V22-202; V22-204; V22-211; V22-219; V22-232; V22-24; V22-26; V22-36; V22-38; V22-71; V22-92; V22-93; V22-94; V23; V23-101; V23-105; V23-107; V23-13; V23-22; V23-29; V23-38; V23-60; V23-81; V23-82; V23-83; V23-84; V23-96; V24; V24-220; V24-221; V24-223; V24-229; V24-235; V24-237; V24-241; V24-8; V25; V25-24; V25-46; V26; V26-100; V26-165; V26-31; V26-50; V26-51; V26-52; V26-53; V26-55; V26-63; V26-68; V27; V27-10; V27-104; V27-114; V27-122; V27-126; V27-136; V27-137; V27-143; V27-144; V27-15; V27-16; V27-162; V27-164; V27-167; V27-172; V27-175; V27-178; V27-181; V27-184; V27-188; V27-190; V27-191; V27-192; V27-20; V27-206; V27-21; V27-215; V27-227; V27-228; V27-23; V27-233; V27-234; V27-239; V27-24; V27-248; V27-25; V27-250; V27-254; V27-266; V27-28; V27-30; V27-32; V27-33; V27-38; V27-7; V28; V28-124; V28-25; V28-28; V28-29; V28-30; V28-34; V28-36; V28-41; V28-55; V28-65; V28-66; V28-7; V28-82; V28-83; V28-89; V28-90; V28-98; V29; V29-134; V29-135; V29-144; V29-167; V29-170; V29-176; V29-177; V29-178; V29-179; V29-180; V29-183; V29-184; V29-189; V29-190; V29-193; V29-194; V29-198; V29-200; V29-202; V29-203; V29-204; V29-205; V29-209; V29-210; V29-211; V29-214; V29-215; V29-220; V29-222; V29-223; V29-93; V30; V30-49; V30-52; V30-54; V30-56; V30-58; V30-59; V30-61; V30-62; V30-64; V30-65; V30-67; V30-68; Vema
    Type: Dataset
    Format: text/tab-separated-values, 1780 data points
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  • 8
    Publication Date: 2024-02-01
    Description: The JGOFS International Collection Volume 2: Integrated Data Sets CD is a coherent, organised compilation of existing data sets produced by member countries which participated in JGOFS. In most cases, the data were gathered from the JGOFS International Collection, Volume 1: Discrete Datasets DVD. To produce Vol. 1 data were taken from the original sources and copied “as is” on the DVD. For Vol. 2 data and metadata have been harmonized using the conversion software PanTool and the import routine of PANGAEA checking for completeness of metadata and defining the relations between data and metadata. Prior to the import, data had performed a technical quality control, i.e. format and readability of the file, availability and combination of parameters and units, range of values.
    Keywords: JGOFS; Joint Global Ocean Flux Study
    Type: Dataset
    Format: application/octet-stream, 607.6 MBytes
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Fischer, Gerhard; Karakas, Gökay; Blaas, M; Ratmeyer, Volker; Nowald, Nicolas; Schlitzer, Reiner; Helmke, Peer; Davenport, Robert; Donner, Barbara; Neuer, Susanne; Wefer, Gerold (2009): Mineral ballast and particle settling rates in the coastal upwelling system off NW Africa and the South Atlantic. International Journal of Earth Sciences, 98(2), 281-298, https://doi.org/10.1007/s00531-007-0234-7
    Publication Date: 2024-02-02
    Description: The ocean off NW Africa is the second most important coastal upwelling system with a total annual primary production of 0.33 Gt of carbon per year (Carr in Deep Sea Res II 49:59-80, 2002). Deep ocean organic carbon fluxes measured by sediment traps are also fairly high despite low biogenic opal fluxes. Due to a low supply of dissolved silicate from subsurface waters, the ocean off NW Africa is characterized by predominantly carbonate-secreting primary producers, i.e. coccolithophorids. These algae which are key primary producers since millions of years are found in organic- and chlorophyll-rich zooplankton fecal pellets, which sink rapidly through the water column within a few days. Particle flux studies in the Mauretanian upwelling area (Cape Blanc) confirm the hypothesis of Armstrong et al. (Deep Sea Res II 49:219-236, 2002) who proposed that ballast availability, e.g. of carbonate particles, is essential to predict deep ocean organic carbon fluxes. The role of dust as ballast mineral for organic carbon, however, must be also taken into consideration in the coastal settings off NW Africa. There, high settling rates of larger particles approach 400 m day**-1, which may be due to a particular composition of mineral ballast. An assessment of particle settling rates from opal-production systems in the Southern Ocean of the Atlantic Sector, in contrast, provides lower values, consistent with the assumptions of Francois et al. (Global Biogeochem Cycles 16(4):1087, 2002). Satellite chlorophyll distributions, particle distributions and fluxes in the water column off NW Africa as well as modelling studies suggest a significant lateral flux component and export of particles from coastal shelf waters into the open ocean. These transport processes have implications for paleo-reconstructions from sediment cores retrieved at continental margin settings.
    Keywords: Calcium carbonate, flux; Calculated, see reference(s); Cape Blanc; Carbon, organic, flux; CB13; CB13_trap; CB3_trap; CB4_trap; Center for Marine Environmental Sciences; Comment; DEPTH, water; Event label; Lithogenic, flux; M12/1; M16/2; MARUM; Meteor (1986); Opal, flux; Sample code/label; Total, flux per year; Trap; TRAP
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 10
    Publication Date: 2024-05-02
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCATv2019 has 25.7 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2019 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. This publication contains the individual cruise files that are new or updated from SOCATv6, with cruise QC flags A-E and all fCO2 WOCE flags. The synthesis file hosted in NOAA NCEI (see other version) contains A-D cruises and WOCE flag 2 (good) data. To download the SOCATv2019 data product in other formats or subsets, please go to www.socat.info.
    Keywords: SOCAT; SOCATv2019; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 531 datasets
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