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  • 3
    Publication Date: 2018-04-24
    Description: The RV Poseidon cruise 516 (POS516) is part of the observational program of the TRR 181 'Energy Transfers in Atmosphere and Ocean', and focussed on the energy transfer by low-mode internal waves. The goals of the cruise were to deploy a mooring to record the temporal variability of the internal wave field and associated energy fluxes, and to use time series CTD/LADCP stations to assess locally the temporal variability of mixing, dissipation, and internal wave fluxes. The region south of the Azores in the east Atlantic is ideally suited for this kind of process study, because it is an area of a strong internal tide signal radiating away from the islands. The cruise track is located along a convergence of tidal beams south of the archipelago, crossing a chain of sea mounts as well as the critical latitude for parametric subharmonic instability (PSI). During the cruise, we collected CTD/LADCP time series between 39h and 52h length on 7 stations in up to 5000 m water depth along the tidal beam between 27°30’N and 37°N latitude, a total of 92 casts. The mooring equipped with of 7 current meter/temperature logger pairs and an acoustic Doppler current profiler was deployed along the track at 30°29.04’N, 30°11.7’W in a water depth of 4500 m (to be retrieved in 2018). All anticipated goals of the cruise were accomplished.
    Type: Report , NonPeerReviewed
    Format: text
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  • 4
    Publication Date: 2021-09-19
    Description: Comparative phylogeography has become a powerful approach in exploring hidden or cryptic diversity within widespread species and understanding how historical and biogeographical factors shape the modern patterns of their distribution. Most comparative phylogeographic studies so far focus on terrestrial and vertebrate taxa, while aquatic invertebrates (and especially freshwater invertebrates) remain unstudied. In this article, we explore and compare the patterns of molecular diversity and phylogeographic structure of four widespread freshwater copepod crustaceans in European water bodies: the harpacticoids Attheyella crassa, Canthocamptus staphylinus and Nitokra hibernica, and the cyclopoid Eucyclops serrulatus, using sequence data from mtDNA COI and nuclear ITS/18S rRNA genes. The three taxa A. crassa, C. staphylinus and E. serrulatus each consist of deeply diverged clusters and are deemed to represent complexes of species with largely (but not completely) non-overlapping distributions, while in N. hibernica only little differentiation was found, which may however reflect the geographically more restricted sampling. However, the geographical patterns of subdivision differ. The divisions in A. crassa and E. serrulatus follow an east–west pattern in Northern Europe whereas that in C. staphylinus has more of a north–south pattern, with a distinct Fennoscandian clade. The deep mitochondrial splits among populations of A. crassa, C. staphylinus and E. serrulatus (model-corrected distances 26–36%) suggest that divergence of the lineages predate the Pleistocene glaciations. This study provides an insight into cryptic diversity and biogeographic distribution of freshwater copepods.
    Electronic ISSN: 1424-2818
    Topics: Biology
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  • 5
    Publication Date: 2022-06-07
    Description: The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Rabe, B., Heuze, C., Regnery, J., Aksenov, Y., Allerholt, J., Athanase, M., Bai, Y., Basque, C., Bauch, D., Baumann, T. M., Chen, D., Cole, S. T., Craw, L., Davies, A., Damm, E., Dethloff, K., Divine, D., Doglioni, F., Ebert, F., Fang, Y-C., Fer, I., Fong, A. A., Gradinger, R., Granskog, M. A., Graupner, R., Haas, C., He, H., He, Y., Hoppmann, M., Janout, M., Kadko, D., Kanzow, T., Karam, S., Kawaguchi, Y., Koenig, Z., Kong, B., Krishfield, R. A., Krumpen, T., Kuhlmey, D., Kuznetsov, I., Lan, M., Laukert, G., Lei, R., Li, T., Torres-Valdés, S., Lin, L,. Lin, L., Liu, H., Liu, N., Loose, B., Ma, X., MacKay, R., Mallet, M., Mallett, R. D. C., Maslowski, W., Mertens, C., Mohrholz, V., Muilwijk, M., Nicolaus, M., O’Brien, J. K., Perovich, D., Ren, J., Rex, M., Ribeiro, N., Rinke, A., Schaffer, J., Schuffenhauer, I., Schulz, K., Shupe, M. D., Shaw, W., Sokolov, V., Sommerfeld, A., Spreen, G., Stanton, T., Stephens, M., Su, J., Sukhikh, N., Sundfjord, A., Thomisch, K., Tippenhauer, S., Toole, J. M., Vredenborg, M., Walter, M., Wang, H., Wang, L., Wang, Y., Wendisch, M., Zhao, J., Zhou, M., & Zhu, J. Overview of the MOSAiC expedition: physical oceanography. Elementa: Science of the Anthropocene, 10(1), (2022): 1, https://doi.org/10.1525/elementa.2021.00062.
    Description: Arctic Ocean properties and processes are highly relevant to the regional and global coupled climate system, yet still scarcely observed, especially in winter. Team OCEAN conducted a full year of physical oceanography observations as part of the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC), a drift with the Arctic sea ice from October 2019 to September 2020. An international team designed and implemented the program to characterize the Arctic Ocean system in unprecedented detail, from the seafloor to the air-sea ice-ocean interface, from sub-mesoscales to pan-Arctic. The oceanographic measurements were coordinated with the other teams to explore the ocean physics and linkages to the climate and ecosystem. This paper introduces the major components of the physical oceanography program and complements the other team overviews of the MOSAiC observational program. Team OCEAN’s sampling strategy was designed around hydrographic ship-, ice- and autonomous platform-based measurements to improve the understanding of regional circulation and mixing processes. Measurements were carried out both routinely, with a regular schedule, and in response to storms or opening leads. Here we present along-drift time series of hydrographic properties, allowing insights into the seasonal and regional evolution of the water column from winter in the Laptev Sea to early summer in Fram Strait: freshening of the surface, deepening of the mixed layer, increase in temperature and salinity of the Atlantic Water. We also highlight the presence of Canada Basin deep water intrusions and a surface meltwater layer in leads. MOSAiC most likely was the most comprehensive program ever conducted over the ice-covered Arctic Ocean. While data analysis and interpretation are ongoing, the acquired datasets will support a wide range of physical oceanography and multi-disciplinary research. They will provide a significant foundation for assessing and advancing modeling capabilities in the Arctic Ocean.
    Description: The following projects and funding agencies contributed to this work: Why is the deep Arctic Ocean Warming is funded by the Swedish Research Council, project number 2018-03859, and berth fees for this project were covered by the Swedish Polar Research Secretariat; The Changing Arctic Ocean (CAO) program, jointly funded by the United Kingdom Research and Innovation (UKRI) Natural Environment Research Council (NERC) and the Bundesministerium für Bildung und Forschung (BMBF), in particular, the CAO projects Advective Pathways of nutrients and key Ecological substances in the ARctic (APEAR) grants NE/R012865/1, NE/R012865/2, and #03V01461, and the project Primary productivity driven by Escalating Arctic NUTrient fluxeS grant #03F0804A; The Research Council of Norway (AROMA, grant no 294396; HAVOC, grant no 280292; and CAATEX, grant no 280531); Collaborative Research: Thermodynamics and Dynamic Drivers of the Arctic Sea Ice Mass Budget at Multidisciplinary drifting Observatory for the Study of the Arctic Climate; National Science Foundation (NSF) projects 1723400, Stanton; OPP-1724551, Shupe; The Helmholtz society strategic investment Frontiers in Arctic Marine monitoring (FRAM); Deutsche Forschungsgemeinschaft (German Research Foundation) through the Transregional Collaborative Research Centre TRR 172 “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3” (grant 268020496); The Japan Society for the Promotion of Science (grant numbers JP18H03745, JP18KK0292, and JP17KK0083) and the COLE grant of U. Tokyo; National Key Research and Development Plan Sub-Project of Ministry of Science and Technology of China (2016YFA0601804), “Simulation, Prediction and Regional Climate Response of Global Warming Hiatus”, 2016/07-2021/06; National Science Foundation grant number OPP-1756100 which funded two of the Ice-Tethered Profilers and all the Ice-Tethered Profiler deployments; Chinese Polar Environmental Comprehensive Investigation and Assessment Programs, funded by the Chinese Arctic and Antarctic Administration; Marine Science and Technology Fund of Shandong Province for Qingdao National Laboratory for Marine Science and Technology (Grant: 2018SDKJ0104-1) and Chinese Natural Science Foundation (Grant: 41941012); UK NERC Long-term Science Multiple Centre National Capability Programme “North Atlantic Climate System Integrated Study (ACSIS)”, grant NE/N018044/1; The London NERC Doctoral Training Partnership grant (NE/L002485/1) which funded RDCM; NSF grant number OPP-1753423, which funded the 7Be tracer –measurements; and The Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) through its projects: AWI_OCEAN, AWI_ROV, AWI_ICE, AWI_SNOW, AWI_ECO, AWI_ATMO, and AWI_BGC.
    Keywords: Physical oceanography ; MOSAiC ; Arctic ; Coupled ; Drift ; Sea ice
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
    Publication Date: 2024-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 7
    Publication Date: 2024-04-20
    Description: Horizontal ocean currents were measured from drifting sea ice, using an RD-Instruments 75 kHz ADCP (acoustic Doppler current profiler), Longranger, deployed pointing downward through an hydrohole on ice for all three drifts of the MOSAiC expedition between 30 November 2019 and 19 September 2020. Due to the unreliability of magnetic compasses at high latitudes, a GPS compass was used and the current profiles were recorded in beam coordinates. Geo-referenced, eastward and northward velocity components in the upper 500 m were obtained during post processing.
    Keywords: Acoustic Doppler Current Profiler; ADCP; Arctic; Arctic Ocean; Arctic Ocean mixing processes and vertical fluxes of energy and matter; AROMA; current; current meter; drift; ice; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean; Polarstern; PS122/1; PS122/1_1-274; PS122/2; PS122/2_14-269; PS122/3; PS122/3_28-154; PS122/3_28-2; PS122/4; PS122/4_43-106; PS122/5; PS122/5_58-112
    Type: Dataset
    Format: application/x-hdf, 36.7 MBytes
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  • 8
    Publication Date: 2024-04-20
    Description: During the MOSAiC drift, vertical profiles of turbulence and auxiliary parameters were measured with MSS microstructure profilers manufactured by Sea and Sun Technology, Germany. Here, the raw binary data from one of in total three different probes deployed during the drift is archived, in the instrument-specific .MRD data format. Every profile is stored in one individual binary file.
    Keywords: Arctic Ocean; Binary Object; DATE/TIME; Event label; LATITUDE; LONGITUDE; Microstructure Profiler; MOSAiC; MOSAiC20192020; MSSP; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PEANUTS; Polarstern; Primary productivity driven by escalating Arctic nutrient fluxes?; PS122/2; PS122/2_23-71; PS122/3; PS122/3_30-27; PS122/3_30-39; PS122/3_30-68; PS122/3_30-8; PS122/3_30-90; PS122/3_31-20; PS122/3_31-3; PS122/3_31-50; PS122/3_31-73; PS122/3_31-82; PS122/3_32-10; PS122/3_32-2; PS122/3_32-23; PS122/3_32-43; PS122/3_32-50; PS122/3_32-62; PS122/3_33-26; PS122/3_33-43; PS122/3_33-51; PS122/3_33-96; PS122/3_34-18; PS122/3_34-27; PS122/3_34-3; PS122/3_35-2; PS122/3_35-26; PS122/3_35-41; PS122/3_35-78; PS122/3_35-93; PS122/3_36-114; PS122/3_36-116; PS122/3_36-147; PS122/3_36-20; PS122/3_36-3; PS122/3_36-39; PS122/3_36-62; PS122/3_37-100; PS122/3_37-11; PS122/3_37-117; PS122/3_37-28; PS122/3_37-3; PS122/3_37-69; PS122/3_37-9; PS122/3_38-32; PS122/3_38-53; PS122/3_38-6; PS122/3_38-83; PS122/3_38-99; PS122/3_39-17; PS122/3_39-31; PS122/3_39-50; PS122/3_39-9
    Type: Dataset
    Format: text/tab-separated-values, 272 data points
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  • 9
    Publication Date: 2024-04-13
    Description: This data set contains the hydrographic water sample data collected with a CTD rosette in a shelter on the ice (Ocean City) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The CTD is an SBE911plus with 12 bottles, 5 liters each, operated with a small winch and crane in the shelter on the ice. The data set contains calibrated and quality-controlled parameters (temperature, conductivity, oxygen and their derived variables) as well as only pre-cruise calibrated parameters where no post-cruise calibration or quality control was applied (all other). CDOM fluorescence data are the exception. Quality control was performed but data have to be handled with care, as the sensor seems to have broken down during leg 3 such that no post-cruise calibration could be applied. Due to issues during processing SPAR data is missing in the bottle data. The data are provided as text file (all cruise legs in one file) as well as in netCDF format (one file per cruise leg). The accuracy for salinity and conductivity is 0.004 while the accuracy for temperature is 0.002. Additional information on the sensor used for the final data set, the water depth as well as the availability of profile or bottle data is given in a separate info-text-file. Contact: Sandra.Tippenhauer@awi.de Quality flags are given based on paragraph 6. "Quality flags" from https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf. QC flag meanings: 0 = unknown, 1 = good_data, 2 = probably good_data, 3 = probably bad data, 4 = bad data set to nan. This work was carried out and data was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Advective Pathways of nutrients and key Ecological substances in the ARctic; APEAR; Arctic Ocean; Attenuation, optical beam transmission; AWI_PhyOce; Bottle number; Chlorophyll a; Conductivity; CTD; CTD, Seabird; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3plus; CTD, Sea-Bird, SBE 911plus; Calculation according to Bittig et al. (2018); CTD, Sea-Bird, SBE 911plus; Calculation according to McDougall and Barker (2011); CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, Turner Designs, Cyclops-6k 2160-000-R; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, WET Labs, ECO FLRTD; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP2300-HP; CTD/Rosette; CTD-R; CTD-RO; DATE/TIME; Density, potential anomaly; DEPTH, water; Event label; Fluorescence, colored dissolved organic matter; HAVOC; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Oxygen, dissolved; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS122/1; PS122/1_10-14; PS122/1_10-26; PS122/1_10-45; PS122/1_11-17; PS122/1_11-40; PS122/1_4-37; PS122/1_5-40; PS122/1_5-46; PS122/1_5-59; PS122/1_6-122; PS122/1_6-17; PS122/1_6-38; PS122/1_7-15; PS122/1_7-40; PS122/1_8-16; PS122/1_9-28; PS122/1_9-47; PS122/1_99-78; PS122/1_99-80; PS122/1_99-81; PS122/1_99-82; PS122/2; PS122/2_16-54; PS122/2_16-94; PS122/2_17-18; PS122/2_17-7; PS122/2_17-78; PS122/2_17-8; PS122/2_18-16; PS122/2_18-5; PS122/2_18-81; PS122/2_19-18; PS122/2_19-4; PS122/2_19-89; PS122/2_20-109; PS122/2_20-17; PS122/2_20-2; PS122/2_21-1; PS122/2_21-101; PS122/2_21-114; PS122/2_21-128; PS122/2_21-26; PS122/2_22-18; PS122/2_22-3; PS122/2_22-49; PS122/2_22-71; PS122/2_23-17; PS122/2_23-4; PS122/2_23-70; PS122/2_23-97; PS122/2_24-47; PS122/2_25-26; PS122/2_25-4; PS122/3; PS122/3_29-74; PS122/3_29-8; PS122/3_30-38; PS122/3_30-40; PS122/3_30-41; PS122/3_30-9; PS122/3_31-18; PS122/3_31-19; PS122/3_31-81; PS122/3_32-12; PS122/3_32-38; PS122/3_32-75; PS122/3_32-76; PS122/3_32-77; PS122/3_33-69; PS122/3_33-70; PS122/3_33-71; PS122/3_33-80; PS122/3_33-82; PS122/3_34-17; PS122/3_34-64; PS122/3_34-65; PS122/3_34-66; PS122/3_34-67; PS122/3_34-76; PS122/3_34-77; PS122/3_35-25; PS122/3_35-60; PS122/3_35-61; PS122/3_35-62; PS122/3_35-63; PS122/3_35-77; PS122/3_35-92; PS122/3_36-115; PS122/3_36-17; PS122/3_36-18; PS122/3_36-19; PS122/3_36-59; PS122/3_36-81; PS122/3_36-83; PS122/3_36-84; PS122/3_36-85; PS122/3_37-116; PS122/3_37-14; PS122/3_37-15; PS122/3_37-45; PS122/3_37-46; PS122/3_37-47; PS122/3_37-88; PS122/3_37-99; PS122/3_38-100; PS122/3_38-31; PS122/3_38-5; PS122/3_38-54; PS122/3_38-55; PS122/3_38-56; PS122/3_38-69; PS122/3_39-16; PS122/3_39-51; PS122/3_39-52; PS122/3_39-53; PS122/3_39-54; PS122/3_39-69; PS122/3_39-70; PS122/3_39-82; PS122/3_99-86; Quality flag, attenuation; Quality flag, chlorophyll; Quality flag, conductivity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, irradiance; Quality flag, oxygen; Quality flag, rhodamine; Quality flag, salinity; Quality flag, water temperature; Radiation, photosynthetically active; Rhodamine; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinity, absolute; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, conservative; Temperature, water, potential; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 34836 data points
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  • 10
    Publication Date: 2024-04-13
    Description: This data set contains the hydrographic water sample data collected with the ship based CTD rosette during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC). The CTD is an SBE911plus with 24 bottles, 12 liters each, operated with a winch and crane on the side of Polarstern. The data set contains calibrated and quality-controlled parameters (temperature, conductivity, oxygen and their derived variables) as well as only pre-cruise calibrated parameters where no post-cruise calibration or quality control was applied (all other). CDOM fluorescence data are the exception. Quality control was performed but data have to be handled with care, as the sensor seems to have broken down during leg 3 such that no post-cruise calibration could be applied. Due to issues during processing SPAR data is missing in the bottle data. The data are provided as text file (all cruise legs in one file) as well as in netCDF format (one file per cruise leg). The accuracy for salinity and conductivity is 0.004 while the accuracy for temperature is 0.002. Additional information on the sensor used for the final data set, the water depth as well as the availability of profile or bottle data is given in a separate info-text-file. Contact: Sandra.Tippenhauer@awi.de. Quality flags are given based on paragraph 6. "Quality flags" from https://www.seadatanet.org/content/download/596/file/SeaDataNet_QC_procedures_V2_%28May_2010%29.pdf. QC flag meanings: 0 = unknown, 1 = good_data, 2 = probably good_data, 3 = probably bad data, 4 = bad data set to nan. This work was carried out and data was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
    Keywords: Advective Pathways of nutrients and key Ecological substances in the ARctic; APEAR; Arctic Ocean; Attenuation, optical beam transmission; AWI_PhyOce; Bottle number; Chlorophyll a; Conductivity; CTD; CTD, Sea-Bird, SBE 911plus; CTD, Sea-Bird, SBE 911plus, measured with Temperature sensor, Sea-Bird, SBE3plus; CTD, Sea-Bird, SBE 911plus; Calculation according to Bittig et al. (2018); CTD, Sea-Bird, SBE 911plus; Calculation according to McDougall and Barker (2011); CTD, Sea-Bird, SBE 911plus; measured with Conductivity sensor, Sea-Bird, SBE 4; CTD, Sea-Bird, SBE 911plus; measured with Dissolved oxygen sensor, Sea-Bird, SBE 43; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, Turner Designs, Cyclops-6k 2160-000-R; CTD, Sea-Bird, SBE 911plus; measured with Fluorometer, WET Labs, ECO FLRTD; CTD, Sea-Bird, SBE 911plus; measured with PAR sensor, Biospherical Instruments Inc., QCP2300-HP; CTD, Sea-Bird, SBE 911plus; measured with Transmissometer, WET Labs, C-Star; CTD/Rosette; CTD-RO; DATE/TIME; Density, potential anomaly; DEPTH, water; Event label; Fluorescence, colored dissolved organic matter; HAVOC; LATITUDE; LONGITUDE; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Oxygen, dissolved; Oxygen saturation; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS122/1; PS122/1_10-41; PS122/1_10-44; PS122/1_10-60; PS122/1_10-64; PS122/1_2-68; PS122/1_6-58; PS122/1_6-79; PS122/1_6-81; PS122/1_7-47; PS122/1_7-49; PS122/1_7-80; PS122/1_8-43; PS122/1_8-46; PS122/1_8-71; PS122/1_8-98; PS122/1_9-50; PS122/1_9-61; PS122/1_9-67; PS122/1_9-87; PS122/2; PS122/2_16-21; PS122/2_16-34; PS122/2_17-39; PS122/2_17-41; PS122/2_17-64; PS122/2_17-68; PS122/2_18-32; PS122/2_18-34; PS122/2_18-57; PS122/2_18-74; PS122/2_19-55; PS122/2_19-56; PS122/2_19-76; PS122/2_19-77; PS122/2_20-45; PS122/2_20-46; PS122/2_20-71; PS122/2_20-73; PS122/2_21-64; PS122/2_21-65; PS122/2_22-42; PS122/2_22-47; PS122/2_22-63; PS122/2_23-46; PS122/2_23-63; PS122/2_24-2; PS122/2_24-4; PS122/2_25-52; PS122/2_25-54; PS122/2_25-71; PS122/2_25-73; PS122/3; PS122/3_30-53; PS122/3_30-64; PS122/3_31-39; PS122/3_31-59; PS122/3_31-63; PS122/3_40-36; PS122/3_42-32; PS122/4; PS122/4_44-184; PS122/4_44-187; PS122/4_44-202; PS122/4_44-67; PS122/4_44-76; PS122/4_45-100; PS122/4_45-121; PS122/4_45-3; PS122/4_45-31; PS122/4_45-48; PS122/4_45-53; PS122/4_45-75; PS122/4_45-79; PS122/4_45-82; PS122/4_45-85; PS122/4_45-9; PS122/4_45-96; PS122/4_46-15; PS122/4_46-2; PS122/4_46-35; PS122/4_46-56; PS122/4_46-60; PS122/4_46-83; PS122/4_46-87; PS122/4_46-91; PS122/4_47-108; PS122/4_47-52; PS122/4_47-60; PS122/4_48-121; PS122/4_48-15; PS122/4_48-155; PS122/4_48-29; PS122/4_48-60; PS122/4_48-62; PS122/4_48-96; PS122/4_49-10; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/4_49-36; PS122/4_49-5; PS122/4_50-21; PS122/4_50-52; PS122/5; PS122/5_59-138; PS122/5_59-149; PS122/5_59-272; PS122/5_59-274; PS122/5_59-305; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-67; PS122/5_60-69; PS122/5_60-89; PS122/5_61-128; PS122/5_61-159; PS122/5_61-161; PS122/5_61-189; PS122/5_61-211; PS122/5_62-38; PS122/5_62-4; PS122/5_62-66; PS122/5_62-88; PS122/5_62-91; PS122/5_63-100; PS122/5_63-110; PS122/5_63-111; PS122/5_63-35; PS122/5_63-53; Quality flag, attenuation; Quality flag, chlorophyll; Quality flag, conductivity; Quality flag, conservative water temperature; Quality flag, density; Quality flag, fluorescence, colored dissolved organic matter; Quality flag, irradiance; Quality flag, oxygen; Quality flag, rhodamine; Quality flag, salinity; Quality flag, water temperature; Radiation, photosynthetically active; Rhodamine; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Salinity, absolute; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Temperature, water; Temperature, water, conservative; Temperature, water, potential; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 86269 data points
    Location Call Number Expected Availability
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