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  • 1
    Publication Date: 2023-01-13
    Description: HPLC measured chlorophyll data ad the ratio of daignostic marker pigments to chla. Dimethylsulfoniopropionate and dimethylsulfide concentrations measured on water samples
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-12-12
    Keywords: Arctic Ocean; ARK-XXIX/3; Attenuation, optical beam transmission; AWI_PhyOce; Barents Sea; Calculated; Computed; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T5101-C3570; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, Dr. Haardt Instruments; Fluorometer, WET Labs ECO AFL/FL; Latitude of event; Longitude of event; Norwegian Sea; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS94; PS94/001-1; PS94/002-1; PS94/004-1; PS94/004-3; PS94/004-5; PS94/006-1; PS94/008-1; PS94/010-1; PS94/012-1; PS94/014-1; PS94/018-1; PS94/018-3; PS94/018-5; PS94/021-1; PS94/025-1; PS94/030-2; PS94/031-1; PS94/032-2; PS94/032-5; PS94/032-7; PS94/032-9; PS94/034-1; PS94/036-2; PS94/038-1; PS94/040-1; PS94/040-3; PS94/042-1; PS94/044-1; PS94/046-3; PS94/046-4; PS94/048-1; PS94/050-1; PS94/050-4; PS94/050-6; PS94/050-8; PS94/054-2; PS94/054-4; PS94/058-1; PS94/058-3; PS94/058-5; PS94/059-1; PS94/061-1; PS94/062-1; PS94/062-3; PS94/064-1; PS94/066-1; PS94/068-1; PS94/069-4; PS94/069-5; PS94/070-1; PS94/072-1; PS94/074-1; PS94/076-1; PS94/076-3; PS94/078-1; PS94/080-1; PS94/081-2; PS94/081-5; PS94/081-7; PS94/083-1; PS94/085-1; PS94/089-1; PS94/091-1; PS94/094-1; PS94/096-2; PS94/096-7; PS94/099-2; PS94/101-2; PS94/101-5; PS94/101-7; PS94/101-9; PS94/105-1; PS94/115-1; PS94/117-2; PS94/117-4; PS94/117-6; PS94/118-1; PS94/121-1; PS94/123-1; PS94/125-2; PS94/125-5; PS94/125-7; PS94/128-1; PS94/130-1; PS94/132-1; PS94/134-1; PS94/147-1; PS94/149-1; PS94/149-4; PS94/153-1; PS94/153-4; PS94/157-1; PS94/161-1; PS94/161-4; PS94/165-1; PS94/169-1; PS94/169-2; PS94/173-1; Salinity; Temperature, water; Temperature, water, potential; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 1990261 data points
    Location Call Number Limitation Availability
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  • 3
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-12-12
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Attenuation, optical beam transmission; AWI_PhyOce; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T5101-C3570; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, WET Labs ECO AFL/FL; Latitude of event; Longitude of event; North Greenland Sea; Number of observations; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS92; PS92/010-1; PS92/019-14; PS92/019-15; PS92/019-5; PS92/019-8; PS92/020-1; PS92/021-1; PS92/023-1; PS92/024-1; PS92/025-1; PS92/026-1; PS92/027-13; PS92/027-3; PS92/027-4; PS92/027-7; PS92/028-1; PS92/029-1; PS92/030-1; PS92/031-12; PS92/031-3; PS92/031-4; PS92/031-6; PS92/032-1; PS92/032-14; PS92/032-5; PS92/032-6; PS92/033-1; PS92/034-1; PS92/035-1; PS92/036-1; PS92/037-1; PS92/039-11; PS92/039-15; PS92/039-8; PS92/039-9; PS92/040-4; PS92/043-1; PS92/043-5; PS92/043-6; PS92/043-9; PS92/046-14; PS92/046-2; PS92/046-3; PS92/046-4; PS92/047-19; PS92/047-4; PS92/047-6; PS92/047-7; PS92/050-1; PS92/051-1; PS92/052-1; PS92/053-1; PS92/055-1; PS92/056-3; Salinity; Temperature, water; Temperature, water, potential; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 532752 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-12-12
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Attenuation, optical beam transmission; AWI_PhyOce; Bottle number; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T5101-C3570; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, WET Labs ECO AFL/FL; Latitude of event; Longitude of event; North Greenland Sea; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS92; PS92/010-1; PS92/019-14; PS92/019-15; PS92/019-5; PS92/019-8; PS92/020-1; PS92/021-1; PS92/023-1; PS92/024-1; PS92/026-1; PS92/027-13; PS92/027-3; PS92/027-4; PS92/027-7; PS92/028-1; PS92/029-1; PS92/030-1; PS92/031-12; PS92/031-3; PS92/031-4; PS92/031-6; PS92/032-1; PS92/032-14; PS92/032-5; PS92/032-6; PS92/033-1; PS92/034-1; PS92/035-1; PS92/036-1; PS92/037-1; PS92/039-11; PS92/039-8; PS92/039-9; PS92/040-4; PS92/043-1; PS92/043-5; PS92/043-6; PS92/043-9; PS92/046-14; PS92/046-2; PS92/046-3; PS92/046-4; PS92/047-19; PS92/047-4; PS92/047-6; PS92/047-7; PS92/050-1; PS92/051-1; PS92/052-1; PS92/053-1; PS92/055-1; PS92/056-3; Salinity; Temperature, water; Temperature, water, potential; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 11858 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2023-12-12
    Keywords: Arctic Ocean; ARK-XXIX/3; Attenuation, optical beam transmission; AWI_PhyOce; Barents Sea; Bottle number; Calculated; Conductivity; CTD, SEA-BIRD SBE 911plus, SN T5101-C3570; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; Fluorometer; Fluorometer, Dr. Haardt Instruments; Fluorometer, WET Labs ECO AFL/FL; Latitude of event; Longitude of event; Norwegian Sea; Oxygen; Oxygen saturation; Oxygen sensor, SBE 43; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS94; PS94/001-1; PS94/002-1; PS94/004-1; PS94/004-3; PS94/004-5; PS94/006-1; PS94/008-1; PS94/010-1; PS94/018-1; PS94/018-3; PS94/018-5; PS94/025-1; PS94/030-2; PS94/032-2; PS94/032-5; PS94/032-7; PS94/032-9; PS94/034-1; PS94/036-2; PS94/038-1; PS94/040-1; PS94/040-3; PS94/042-1; PS94/044-1; PS94/046-4; PS94/048-1; PS94/050-1; PS94/050-4; PS94/050-6; PS94/050-8; PS94/054-2; PS94/054-4; PS94/058-1; PS94/058-3; PS94/058-5; PS94/059-1; PS94/061-1; PS94/062-1; PS94/062-3; PS94/064-1; PS94/066-1; PS94/068-1; PS94/069-4; PS94/069-5; PS94/070-1; PS94/072-1; PS94/074-1; PS94/076-1; PS94/076-3; PS94/078-1; PS94/080-1; PS94/081-2; PS94/081-5; PS94/081-7; PS94/083-1; PS94/085-1; PS94/089-1; PS94/091-1; PS94/094-1; PS94/096-2; PS94/096-7; PS94/099-2; PS94/101-2; PS94/101-5; PS94/101-7; PS94/101-9; PS94/105-1; PS94/115-1; PS94/117-2; PS94/117-4; PS94/117-6; PS94/118-1; PS94/121-1; PS94/123-1; PS94/125-2; PS94/125-5; PS94/125-7; PS94/128-1; PS94/130-1; PS94/132-1; PS94/134-1; PS94/147-1; PS94/149-1; PS94/149-4; PS94/153-1; PS94/153-4; PS94/157-1; PS94/161-1; PS94/161-4; PS94/165-1; PS94/169-1; PS94/169-2; PS94/173-1; Salinity; Temperature, water; Temperature, water, potential; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 24525 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2019-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 7
    Publication Date: 2018-06-05
    Description: The extended multiple linear regression (eMLR) technique is used to determine changes in anthropogenic carbon in the intermediate layers of the Eurasian Basin based on occupations from four cruises between 1996 and 2015. The results show a significant increase in basin‐wide anthropogenic carbon storage in the Nansen Basin (0.44‐0.73 ± 0.14 mol C m−2 yr−1) and the Amundsen Basin (0.63‐1.04 ± 0.09 mol C m−2 yr−1). Over the last two decades, inferred changes in ocean acidification (0.020‐0.055 pH units) and calcium carbonate desaturation (0.05‐0.18 units) are pronounced and rapid. These results, together with results from carbonate‐dynamic box model simulations and 129I tracer distribution simulations, suggest that the accumulation of anthropogenic carbon in the intermediate layers of the Eurasian Basin are consistent with increasing concentrations of anthropogenic carbon in source waters of Atlantic origin entering the Arctic Ocean followed by interior transport. The dissimilar distributions of anthropogenic carbon in the interior Nansen and Amundsen Basins are likely due to differences in the lateral ventilation of the intermediate layers by the return flows and ramifications of the boundary current along the topographic boundaries in the Eurasian Basin.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2019-07-17
    Description: Dimethylsulfide (DMS) is a biogenic trace gas with importance to aerosol formation. DMS is produced by microbial degradation of dimethylsulfoniopropionate (DMSP), an abundant metabolite in marine microalgae. We analyzed DMS and DMSP concentrations in surface water in the central Arctic Ocean during two expeditions north of 79°N in 2011 and 2015. We identified three regions, which were characterized by different DMS and DMSP concentrations, dependent on the regional water masses and the relative movement of sea ice and water to each other. In addition, correlations between DMS and DMSP and correlation of the two sulfur compounds to autotrophic biomass (as chlorophyll a) differed in the regions. In the area of the nutrient rich Atlantic water inflow and short contact of this water with sea ice, DMS is present in high concentrations and correlates to DMSP as well as chlorophyll a. At two stations, particularly high DMS concentrations were found in conjunction with under-ice phytoplankton biomass peaks. In contrast, in mixed Atlantic and Pacific water with strong polar influence, where long-term contact between sea ice and water causes persistent stratification, only little DMS is found. Further, the correlations to DMSP and chlorophyll a are lost and the ratio of DMS to DMSP is about one order of magnitude lower, pointing toward consumption of DMSP without the production of DMS. We conclude that the duration of sea ice influence and source of the surface water do not only lead to differences in phytoplankton productivity, resulting in different DMSP concentrations, but also influence microbial recycling of DMSP to DMS or other compounds. DMS production, as possible source for aerosols, is thus presumably lower in the strongly sea ice influenced central Arctic areas than what could be expected from DMSP concentration or biomass.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 9
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    Unknown
    EGU, Geophysical Research Abstracts Vol. 18, EGU2016-12513
    In:  EPIC3EGU General Assembly 2016, Vienna, Austria, 2016EGU, Geophysical Research Abstracts Vol. 18, EGU2016-12513
    Publication Date: 2016-11-29
    Description: During the recent decade the Arctic Ocean has shown several years of very low sea-ice extent and an increase in liquid freshwater. Yet, the processes underlying the interannual variability are still not fully understood. Hydrographic observations by ship campaigns and autonomous platforms reveal that summer 2015 showed above average liquid freshwater in the upper ocean of the central Arctic. Surface temperatures and sea level pressure were also higher than the average of the preceeding two decades. From hydrographic observations and atmospheric reanalysis data we show that this liquid freshwater anomaly is associated with above average sea-ice melt and intensified northward Ekman transport. We, further, found significant amounts of Pacific Water in the upper water column, from the mixed-layer to the upper halocline. Our results suggest that the freshening was due to both advection of low-salinity water from the direction of the Siberian shelves, the Beaufort Gyre and the Bering Strait, and enhance sea-ice melt.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 10
    Publication Date: 2016-11-29
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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