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  • Data  (29)
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  • 1
    Publication Date: 2024-03-05
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Professor Molchanov; PU2012; PU2012/001; PU2012/002; PU2012/003; PU2012/004; PU2012/005; PU2012/006; PU2012/007; PU2012/008; PU2012/009; PU2012/010; PU2012/011; PU2012/012; PU2012/013; PU2012/014; PU2012/015; PU2012/016; PU2012/017; PU2012/018; PU2012/019; PU2012/020; PU2012/021; PU2012/022; PU2012/023; PU2012/024; PU2012/025; PU2012/026; PU2012/027; PU2012/028; PU2012/029; PU2012/030; PU2012/031; PU2012/032; PU2012/033; PU2012/034; PU2012/035; PU2012/036; PU2012/037; PU2012/038; PU2012/039; PU2012/040; PU2012/041; PU2012/042; PU2012/043; PU2012/044; PU2012/045; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 18794 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-03-05
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Professor Molchanov; PU2013; PU2013/039; PU2013/040; PU2013/041; PU2013/042; PU2013/043; PU2013/044; PU2013/045; PU2013/046; PU2013/047; PU2013/048; PU2013/049; PU2013/050; PU2013/051; PU2013/052; PU2013/053; PU2013/054; PU2013/055; PU2013/056; PU2013/065; PU2013/066; PU2013/067; PU2013/068; PU2013/069; PU2013/070; PU2013/071; PU2013/072; PU2013/073; PU2013/074; PU2013/075; PU2013/076; PU2013/077; PU2013/078; PU2013/079; PU2013/080; PU2013/081; PU2013/082; PU2013/083; PU2013/084; PU2013/085; PU2013/086; PU2013/087; PU2013/088; PU2013/089; PU2013/090; PU2013/091; PU2013/092; PU2013/093; PU2013/094; PU2013/095; PU2013/096; PU2013/097; PU2013/098; PU2013/099; PU2013/100; PU2013/145; PU2013/146; PU2013/147; PU2013/148; PU2013/149; PU2013/150; PU2013/151; PU2013/152; PU2013/153; PU2013/154; PU2013/155; PU2013/156; PU2013/157; PU2013/158; PU2013/159; PU2013/160; PU2013/161; PU2013/162; PU2013/163; PU2013/164; PU2013/165; PU2013/166; PU2013/167; PU2013/168; PU2013/169; PU2013/170; PU2013/171; PU2013/172; PU2013/173; PU2013/174; PU2013/175; PU2013/176; PU2013/177; PU2013/178; PU2013/179; PU2013/180; PU2013/181; PU2013/182; PU2013/183; PU2013/184; PU2013/185; PU2013/186; PU2013/187; PU2013/188; PU2013/189; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 45848 data points
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Laukert, Georgi; Makhotin, Mikhail; Petrova, Mariia V; Frank, Martin; Hathorne, Ed C; Bauch, Dorothea; Böning, Philipp; Kassens, Heidemarie (2019): Water mass transformation in the Barents Sea inferred from radiogenic neodymium isotopes, rare earth elements and stable oxygen isotopes. Chemical Geology, 511, 416-430, https://doi.org/10.1016/j.chemgeo.2018.10.002
    Publication Date: 2024-03-05
    Description: Nearly half the inflow of warm and saline Atlantic Water (AW) to the Arctic Ocean is substantially cooled and freshened in the Barents Sea, which is therefore considered a key region for water mass transformation in the Arctic Mediterranean. Numerous studies have focused on this transformation and the increasing influence of AW on Arctic climate and biodiversity, yet geochemical investigations of these processes have been scarce. Using the first comprehensive data set of the distributions of dissolved radiogenic neodymium (Nd) isotopes (expressed as ɛNd), rare earth elements (REE) and stable oxygen isotope (δ18O) compositions from this region we are able to constrain the transport and transformation of AW in the Barents Sea and to investigate which processes change the chemical composition of the water masses beyond what is expected from circulation and mixing. Inflowing AW and Norwegian Coastal Water (NCW) both exhibit distinctly unradiogenic ɛNd signatures of -12.4 and -14.5, respectively, whereas cold and dense Polar Water (PW) has considerably more radiogenic ɛNd signatures reaching up to -8.1. Locally formed Barents Sea Atlantic Water (BSAW) and Barents Sea Arctic Atlantic Water (BSAAW) are encountered in the northeastern Barents Sea and have intermediate ɛNd values resulting from admixture of PW containing small amounts of riverine freshwater from the Ob (〈 ~1.1 %) to AW and NCW. Similar to the Laptev Sea, the dissolved Nd isotope composition in the Barents Sea seems to be mainly controlled by water mass advection and mixing despite its shallow water depth. Strikingly, the BSAW and BSAAW are marked by the lowest REE concentrations reaching 11 pmol/kg for Nd ([Nd]), which in contrast to the Nd isotopes, cannot be attributed to the admixture of REE-rich Ob freshwater to AW or NCW ([Nd] = 16.7, and 22 pmol/kg, respectively) and instead reflects REE removal from the dissolved phase with preferential removal of the light over the heavy REEs. The REE removal is, however, not explainable by estuarine REE behavior alone, suggesting that scavenging by (re)suspended (biogenic) particles occurs locally in the Barents Sea. Regardless of the exact cause of REE depletion, we show that AW transformation is accompanied by geochemical changes independent of water mass mixing.
    Keywords: Calculated; Cerium, dissolved; Classification; CTD; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma500; Density, sigma-theta (0); DEPTH, water; Dysprosium, dissolved; Elevation of event; Erbium, dissolved; Europium, dissolved; Event label; Gadolinium, dissolved; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; Holmium, dissolved; Isotope dilution; Lanthanum, dissolved; Laptev Sea System; Latitude of event; Longitude of event; LSS; Lutetium, dissolved; Neodymium, dissolved; Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, standard deviation; Oxygen; Oxygen saturation; pH; Phosphate; Praseodymium, dissolved; Pressure, water; Professor Molchanov; PU2014; PU2014/042; PU2014/049; PU2014/054; PU2014/099; PU2014/115; PU2014/119; PU2014/126; PU2014/129; Recalculated from ml/l by using (ml/l)*44.66; Salinity; Samarium, dissolved; Silicate; Temperature, water; Temperature, water, potential; Terbium, dissolved; Thulium, dissolved; Ytterbium, dissolved; Yttrium, dissolved; δ18O, water; ε-Neodymium; ε-Neodymium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1023 data points
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  • 4
    Publication Date: 2024-03-05
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Professor Molchanov; PU2014; PU2014/039; PU2014/040; PU2014/041; PU2014/042; PU2014/043; PU2014/044; PU2014/045; PU2014/046; PU2014/047; PU2014/048; PU2014/049; PU2014/050; PU2014/051; PU2014/052; PU2014/053; PU2014/054; PU2014/055; PU2014/056; PU2014/057; PU2014/058; PU2014/092; PU2014/093; PU2014/094; PU2014/095; PU2014/096; PU2014/097; PU2014/098; PU2014/099; PU2014/100; PU2014/101; PU2014/102; PU2014/103; PU2014/104; PU2014/105; PU2014/106; PU2014/107; PU2014/108; PU2014/109; PU2014/110; PU2014/111; PU2014/112; PU2014/113; PU2014/114; PU2014/115; PU2014/116; PU2014/117; PU2014/118; PU2014/119; PU2014/120; PU2014/121; PU2014/122; PU2014/123; PU2014/124; PU2014/125; PU2014/126; PU2014/127; PU2014/128; PU2014/129; PU2014/130; PU2014/131; PU2014/132; PU2014/133; PU2014/134; PU2014/135; PU2014/136; PU2014/137; PU2014/138; PU2014/139; PU2014/140; PU2014/141; PU2014/142; PU2014/143; PU2014/144; PU2014/145; PU2014/146; PU2014/147; PU2014/148; PU2014/149; PU2014/150; PU2014/151; PU2014/152; PU2014/153; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 37454 data points
    Location Call Number Expected Availability
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Makhotin, Mikhail; Ivanov, Vladimir (2016): Circulation of the Atlantic water in the Barents Sea based on hydrological survey data and numerical simulation. Proceedings of Hydrometcentre of Russia, 361, 169-191
    Publication Date: 2024-03-05
    Description: Boundary position of the Barents Sea between the North Atlantic and the Arctic basin causes a high degree of impact processes occurring in it and on the weather and climate in Northern Eurasia. The most important role in the formation of the hydrological regime of the sea plays warm and salty water incoming from the North Atlantic. The article examines the features of Atlantic water propagation in the Barents Sea based on a detailed hydrological survey and numerical simulation data with a high spatial resolution. Implementation of joint analysis confirmed several previously known features of water dynamics and thermohaline structure and clarified the nature of circulation and interaction of water masses in the little known north-eastern area of the Barents Sea.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 6
    Publication Date: 2024-03-05
    Description: This is the nutrient data (silicate and phosphate) measured on water bottle samples during PU2014 to the Barents Sea following standard procedures (Grasshoff et al., 2009).
    Keywords: Bottle number; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen saturation; pH; Phosphate; Professor Molchanov; PU2014; PU2014/039; PU2014/040; PU2014/041; PU2014/042; PU2014/043; PU2014/044; PU2014/045; PU2014/046; PU2014/047; PU2014/048; PU2014/049; PU2014/050; PU2014/051; PU2014/052; PU2014/053; PU2014/054; PU2014/055; PU2014/056; PU2014/057; PU2014/058; PU2014/059; PU2014/060; PU2014/061; PU2014/062; PU2014/063; PU2014/064; PU2014/065; PU2014/066; PU2014/067; PU2014/068; PU2014/069; PU2014/070; PU2014/071; PU2014/072; PU2014/073; PU2014/074; PU2014/075; PU2014/077; PU2014/079; PU2014/080; PU2014/081; PU2014/082; PU2014/083; PU2014/084; PU2014/085; PU2014/086; PU2014/087; PU2014/088; PU2014/089; PU2014/090; PU2014/091; PU2014/092; PU2014/093; PU2014/094; PU2014/095; PU2014/096; PU2014/097; PU2014/098; PU2014/099; PU2014/100; PU2014/101; PU2014/102; PU2014/103; PU2014/104; PU2014/105; PU2014/106; PU2014/107; PU2014/108; PU2014/109; PU2014/110; PU2014/111; PU2014/112; PU2014/113; PU2014/114; PU2014/115; PU2014/116; PU2014/117; PU2014/118; PU2014/119; PU2014/120; PU2014/121; PU2014/122; PU2014/123; PU2014/124; PU2014/125; PU2014/126; PU2014/127; PU2014/128; PU2014/129; PU2014/130; PU2014/131; PU2014/132; PU2014/133; PU2014/134; PU2014/135; PU2014/136; PU2014/137; PU2014/138; PU2014/139; PU2014/140; PU2014/141; PU2014/142; PU2014/143; PU2014/144; PU2014/145; PU2014/146; PU2014/147; PU2014/148; PU2014/149; PU2014/150; PU2014/151; PU2014/152; PU2014/153; Salinity; Seawater analysis after Grasshoff; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 10953 data points
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2024-04-20
    Description: This dataset has been created as a comparative dataset for assessment of satellite-derived sea level anomaly in the publication Doglioni et al. (2022). The dataset includes two time series, one of steric height and another of bottom pressure equivalent height, respectively computed from moored temperature and salinity data and ocean bottom pressure records at the Arctic Cape shelf break. Data were collected between October 2015 and July 2018 in the framework of the project Changing Arctic Transpolar System (CATS mooring AK3). Temperature and salinity were linearly interpolated between the shallowest sensor (50 m) and the deepest sensor (1448 m) onto a regular pressure grid with vertical spacing of 2 m. Constant extrapolation was performed above the shallowest sensor and no extrapolation was performed below the deepest sensor. Temperature and salinity vertical profiles were converted into density profiles using the Matlab sw_dens routine (Fofonoff & Millard, 1983). Bottom pressure records are detided using the Matlab routine t_tide (Pawlowicz et al., 2002) and instrumental drifts were removed. Steric height and bottom pressure equivalent height time series were averaged into monthly time steps.
    Keywords: Arctic Cape; CATS; CATS_AK3; CATS - The Changing Arctic Transpolar System; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); Mooring (long time); MOORY; Ocean bottom pressure; RACE; Regional Atlantic Circulation and global Change; REKLIM; Steric height
    Type: Dataset
    Format: application/x-hdf, 18.1 kBytes
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  • 8
    Publication Date: 2024-04-20
    Description: This dataset has been created as a comparative dataset for assessment of satellite-derived sea level anomaly in the publication Doglioni et al. (2022). The dataset includes two time series, one of steric height and another of bottom pressure equivalent height, respectively computed from moored temperature and salinity data and ocean bottom pressure records at the Laptev Sea continental slope. Data were collected between September 2013 and August 2015 in the framework of the project Nansen and Amundsen Basins Observations System II (NABOS-II moorings M1_4 and M1_6, Polyakov et al., 2019). Temperature and salinity were linearly interpolated between the shallowest sensor (26 m) and the deepest sensor (700 m) onto a regular pressure grid with vertical spacing of 2 m. Constant extrapolation was performed above the shallowest sensor and no extrapolation was performed below the deepest sensor. Temperature and salinity vertical profiles were converted into density profiles using the Matlab sw_dens routine (Fofonoff & Millard, 1983). Bottom pressure records are detided using the Matlab routine t_tide (Pawlowicz et al., 2002) and instrumental drifts were removed. Steric height and bottom pressure equivalent height time series were averaged into monthly time steps.
    Keywords: Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); Laptev Sea; M1_4; M1_6; Mooring (long time); MOORY; NABOS-II; Nansen and Amundsen Basins Observations System II; Ocean bottom pressure; RACE; Regional Atlantic Circulation and global Change; REKLIM; Steric height
    Type: Dataset
    Format: application/x-hdf, 17.9 kBytes
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  • 9
    Publication Date: 2024-06-12
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring AK1 in the eastern Arctic Ocean north of Severnaya Zemlya (81.845 °N, 94.342 °W, water depth 305 m) in 2015 - 2018. The mooring was deployed during Akademik Tryoshnikov expedition AT2015 as part of the NSF-funded NABOS (Nansen and Amundsen Basins Observational System) - program and recovered during AT2018, which was jointly organized between NABOS and the German BMBF-funded CATS (Changing Arctic Transpolar System)-project. The attached archive contains raw data files of Seabird SBE37 microcats, Seabird SBE26 bottom pressure recorders, RDI Acoustic Doppler Current profiler and Aanderaa point current meters. Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: ADCP; AK1-1_MOOR; Akademik Tryoshnikov; Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CATS; CATS-Synthesis; CATS-Synthesis: The Changing Arctic Transpolar System; CATS - The Changing Arctic Transpolar System; CTD; File content; Laptev Sea; MOOR; Mooring; NABOS_2015_AK1-1; NABOS_2015_AK1-1, NABOS_2018_AK1-1; NABOS_2018_AK1-1; NABOS, AT2015; NABOS 2015; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Severnaya Zemlya
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-06-12
    Description: A standard Sea-Bird Electronics SBE911+ CTD system with a temperature and conductivity sensor was used to measure temperature, conductivity, and pressure at 180 stations during the Russian-international expedition Transarktika-2019 Leg 1 in the Barents Sea in March-May 2019 aboard the research vessel Akademik Tryoshnikov. We followed the manufacturer's recommendation to calculate salinity using Seabird processing software. The salinity is reported as Practical Salinity (PSU). Data were averaged at depth ranges of 1 m. Data are provided by the Antarctic and Arctic Research Institute (AARI) and reprocessed at the Helmholtz Centre for Polar and Marine Research, Alfred Wegener Institute. The Transarktika-2019 expedition was made possible by funding from the Russian Federal Service for Hydrometeorology and Environmental Monitoring (Roshydromet). The scientific research was also supported by RFBR grants No. 18-05-60048 and 18-05-60083.
    Keywords: Akademik Tryoshnikov; Arctic Ocean; AT19001-1; AT19002-1; AT19004-1; AT19005-1; AT19006-1; AT19007-1; AT19008-1; AT19009-1; AT19010-1; AT19011-1; AT19012-1; AT19013-1; AT19014-1; AT19015-1; AT19016-1; AT19017-1; AT19018-1; AT19019-1; AT19020-1; AT19021-1; AT19022-1; AT19023-1; AT19024-1; AT19025-1; AT19026-1; AT19027-1; AT19028-1; AT19029-1; AT19030-1; AT19031-1; AT19032-1; AT19033-1; AT19034-1; AT19035-1; AT19036-1; AT19037-1; AT19038-1; AT19039-1; AT19040-1; AT19041-1; AT19042-1; AT19043-1; AT19044-1; AT19045-1; AT19046-1; AT19047-1; AT19048-1; AT19049-1; AT19050-1; AT19051-1; AT19052-1; AT19053-1; AT19054-1; AT19055-1; AT19056-1; AT19057-1; AT19058-1; AT19059-1; AT19060-1; AT19061-1; AT19062-1; AT19063-1; AT19064-1; AT19065-1; AT19066-1; AT19067-1; AT19068-1; AT19069-1; AT19070-1; AT19071-1; AT19072-1; AT19073-1; AT19074-1; AT19075-1; AT19076-1; AT19077-1; AT19078-1; AT19079-1; AT19080-1; AT19081-1; AT19082-1; AT19083-1; AT19084-1; AT19085-1; AT19086-1; AT19086-2; AT19086-3; AT19087-1; AT19088-1; AT19089-1; AT19089-2; AT19089-3; AT19090-1; AT19091-1; AT19092-1; AT19092-2; AT19092-3; AT19093-1; AT19094-1; AT19095-1; AT19095-2; AT19095-3; AT19096-1; AT19097-1; AT19098-1; AT19099-1; AT19100-1; AT19101-1; AT19102-1; AT19103-1; AT19104-1; AT19105-1; AT19106-1; AT19107-1; AT19108-1; AT19109-1; AT19110-1; AT19111-1; AT19112-1; AT19113-1; AT19114-1; AT19115-1; AT19116-1; AT19117-1; AT19118-1; AT19119-1; AT19120-1; AT19121-1; AT19122-1; AT19123-1; AT19124-1; AT19125-1; AT19126-1; AT19127-1; AT19128-1; AT19130-1; AT19131-1; AT19132-1; AT19133-1; AT19134-1; AT19135-1; AT19136-1; AT19137-1; AT19138-1; AT19139-1; AT19140-1; AT19141-1; AT19142-1; AT19148-1; AT19149-1; AT19150-1; AT19151-1; AT19152-1; AT19153-1; AT19154-1; AT19155-1; AT19156-1; AT19157-1; AT19158-1; AT19159-1; AT19160-1; AT19161-1; AT19162-1; AT19163-1; AT19164-1; AT19165-1; AT19166-1; AT19167-1; AT19168-1; AT19169-1; AT19170-1; AT19171-1; AT19172-1; AT19173-1; AT19174-1; AT19175-1; AT19176-1; AT19177-1; AT19178-1; AT19179-1; Barents Sea; Calculated; CATS; CATS - The Changing Arctic Transpolar System; Conductivity; CTD, Sea-Bird, SBE 911plus; CTD/Rosette; DATE/TIME; Density, sigma-theta (0); DEPTH, water; ELEVATION; Event label; Ice drift experiment SEVERNYI POLYUS 2019; Kara Sea; LATITUDE; LONGITUDE; Number of scans; Pressure, water; Salinity; St. Anna Trough; Temperature, water; Temperature, water, potential; Transarktika-2019_Leg1
    Type: Dataset
    Format: text/tab-separated-values, 288309 data points
    Location Call Number Expected Availability
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