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  • 1
    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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  • 2
    Publication Date: 2024-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 3
    Publication Date: 2024-05-08
    Description: The rapid melt of snow and sea ice during the Arctic summer provides a significant source of low-salinity meltwater to the surface ocean on the local scale. The accumulation of this meltwater on, under, and around sea ice floes can result in relatively thin meltwater layers in the upper ocean. Due to the small-scale nature of these upper-ocean features, typically on the order of 1 m thick or less, they are rarely detected by standard methods, but are nevertheless pervasive and critically important in Arctic summer. Observations during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in summer 2020 focused on the evolution of such layers and made significant advancements in understanding their role in the coupled Arctic system. Here we provide a review of thin meltwater layers in the Arctic, with emphasis on the new findings from MOSAiC. Both prior and recent observational datasets indicate an intermittent yet longlasting (weeks to months) meltwater layer in the upper ocean on the order of 0.1 m to 1.0 m in thickness, with a large spatial range. The presence of meltwater layers impacts the physical system by reducing bottom ice melt and allowing new ice formation via false bottom growth. Collectively, the meltwater layer and false bottoms reduce atmosphere-ocean exchanges of momentum, energy, and material.The impacts on the coupled Arctic system are far-reaching, including acting as a barrier for nutrient and gas exchange and impacting ecosystem diversity and productivity.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2024-05-29
    Description: Trace gases have demonstrated their strength for oceanographic studies, with applications ranging from the tracking of glacial meltwater plumes to estimates of the abyssal overturning duration. Yet measurements of such passive tracers in the ice-covered Arctic Ocean are sparse. We here present a unique data set of trace gases collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, during which R/V Polarstern drifted along with the Arctic sea ice from the Laptev Sea to Fram Strait, from October 2019 to September 2020. During the expedition, trace gases from anthropogenic origin (chlorofluorocarbon 12 (CFC-12), sulfur hexafluoride (SF6), and tritium) along with noble gases (helium and neon) and their isotopes were collected at a weekly or higher temporal resolution throughout the entire water column (and occasionally in the snow) from the ship and from the ice. We describe the sampling procedures along with their challenges, the analysis methods, and the data sets, and we present case studies in the central Arctic Ocean and Fram Strait to illustrate possible usage for the data along with their robustness. Combined with simultaneous hydrographic measurements, these trace gas data sets can be used for process studies and water mass tracing throughout the Arctic in subsequent analyses. The two data sets can be downloaded via PANGAEA: https://doi.org/10.1594/PANGAEA.961729 (Huhn et al., 2023a) and https://doi.org/10.1594/PANGAEA.961738 (Huhn et al., 2023b).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 5
    Publication Date: 2024-03-02
    Description: This dataset gives an overview on the hydrographic properties encountered during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC). It is not the final dataset and it does not contain single profiles. Rather this data set contains the median of the preprocessed data collected with the ship-based conductivity, temperature depth profiler (CTD) as well as one profile of a hand-held CTD operated from the ice. The data collected with the ship-based CTD was processed using the standard SBE processing routines. Additionally, large spikes where removed. The data was interpolated onto a 5 dbar regular grid and subsequently the median was computed over each pressure level. The data collected with the ice-based hand-held CTD was processed manually. Surface values with conductivity readings below 0.5mS/cm and temperature values below the surface freezing temperature were removed. A pressure offset of 2 dbar was subtracted. The data was then binned in 0.1 steps to 5 dbar, in steps of 0.25 to 20 dbar, in steps of 0.5 dbar to 100 dbar and in steps of 1 dbar below. For both, ship-based CTD and ice-based hand-held CTD data Absolute Salinity (SA), Practical Salinity (SP) and Conservative Temperature (CT) where derived using the TEOS-10 GSW toolbox (McDougall and Barker 2011). This work was carried out and data used in this manuscript 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: Arctic; Arctic Ocean; AWI_PhyOce; Cruise/expedition; CTD, handheld; CTD/Rosette; CTD-RO; DATE/TIME; Fram Strait; Gear; hCTD; hydrographic data; Identification; LATITUDE; LONGITUDE; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Physical Oceanography @ AWI; polar night; Polarstern; Pressure, water; PS122/1; PS122/1_10-41; PS122/1_10-44; PS122/1_10-60; PS122/1_10-64; 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_23-47; 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_44-183; 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_45-101; PS122/4_45-106; PS122/4_45-121; PS122/4_45-3; PS122/4_45-31; PS122/4_45-48; PS122/4_45-53; PS122/4_45-72; PS122/4_45-73; PS122/4_45-74; PS122/4_45-75; PS122/4_45-76; PS122/4_45-77; PS122/4_45-78; PS122/4_45-79; PS122/4_45-80; PS122/4_45-81; PS122/4_45-82; PS122/4_45-83; PS122/4_45-84; PS122/4_45-85; PS122/4_45-88; PS122/4_45-9; PS122/4_45-94; PS122/4_45-95; PS122/4_45-96; PS122/4_45-97; PS122/4_45-98; PS122/4_45-99; 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_48-159; PS122/4_48-29; PS122/4_48-56; 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_59-277; 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; Salinity; Salinity, absolute; Temperature; Temperature, water, conservative; vertical profiles; WAOW; Why is the deep Arctic Ocean Warming?
    Type: Dataset
    Format: text/tab-separated-values, 26510 data points
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  • 6
    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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  • 7
    Publication Date: 2024-04-20
    Description: An ice-tethered buoy system (2020O10) carrying 5 CTDs was deployed by RV Polarstern in the central Arctic Ocean in August 2020 as part of MOSAiC Leg 5 (PS122/5). The buoy was equipped with 5 Seabird SBE37IMP Microcat CTDs mounted along an 100m long inductive modem tether at depths of 10, 20, 50, 75 and 100m. The buoy was installed close to the main buoy site in the central observatory of Leg 5, and co-located with multiple Snow Buoys, Ice Mass Balance Buoys and other, more complex instruments. The surface unit of the buoy prompted the instruments for a measurement of temperature, conductivity/salinity and pressure every 10 minutes. The data was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After a several months long drift through the central Arctic Ocean and Nordic Seas, the buoy was recovered in Húnaflói, Iceland in October 2022. This entry explicitly only includes the 10-minute data transmitted by the buoy itself. A processed and quality controlled version of this dataset, combined with the recovered 2-minute data from the individual CTDs, will be provided and linked to upon completion.
    Keywords: 2020O10; Arctic Ocean; BUOY_CTD_CHAIN; Buoy; CTD chain; CTD; FRAM; FRontiers in Arctic marine Monitoring; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; Polarstern; PS122/5; PS122/5_58-94; Transpolar Drift
    Type: Dataset
    Format: application/octet-stream, 38.9 MBytes
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  • 8
    Publication Date: 2024-04-20
    Description: This dataset contains measurements of temperature and dissipation rate of turbulent kinetic energy (ε) obtained during the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) campaign using a novel ascending microstructure profiler. A total of 235 successful profiles were conducted between 22 February 2020 and 17 September 2020 along the MOSAiC drift covering the central Arctic Ocean (Nansen and Amundsen Basin), the Yermak Plateau and the Fram Strait region. The main purpose of the measurements was to capture under-ice turbulence in the ice-ocean boundary layer. Standard, free-falling microstructure profilers do not provide usable data in the top several meters under the ice, as they are still accelerating there. Using an internal-recording VMP-250-IR microstructure profiler (SN 104) in novel upriser configuration allows us to measure turbulence until directly (within 1 m) under the ice-ocean interface. The instrument setup and deployment procedure is described in Fer et al. 2022, linked in the dataset. Profiles were taken during varying ice and meteorological conditions. The dissipation rate was calculated from shear-probe data following best-practice processing procedures outlined in the ATOMIX wiki (https://wiki.app.uib.no/atomix/index.php/Shear_probes).
    Keywords: Arctic Ocean; Arctic Ocean mixing processes and vertical fluxes of energy and matter; AROMA; dissipation rate; epsilon; microstructure; Mosaic; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; oceanography; Polarstern; PS122/2; PS122/2_25-106; PS122/3; PS122/3_29-84; PS122/3_35-10; PS122/3_36-2; PS122/3_38-9; PS122/3_39-10; PS122/4; PS122/4_45-91; PS122/4_46-62; PS122/4_46-63; PS122/4_47-109; PS122/4_47-110; PS122/4_47-58; PS122/4_47-59; PS122/4_48-31; PS122/4_48-67; PS122/4_48-8; PS122/4_49-114; PS122/5; PS122/5_59-245; PS122/5_59-275; PS122/5_59-325; PS122/5_59-380; PS122/5_59-381; PS122/5_59-382; PS122/5_60-218; PS122/5_60-219; PS122/5_60-220; PS122/5_60-36; PS122/5_60-37; PS122/5_60-85; PS122/5_61-179; PS122/5_61-180; PS122/5_61-181; PS122/5_61-24; PS122/5_61-245; PS122/5_61-246; PS122/5_62-110; PS122/5_62-112; PS122/5_62-113; Temperature; turbulence; upriser; Vertical microstructure profiler; VMP
    Type: Dataset
    Format: application/x-hdf, 826.9 kBytes
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  • 9
    Publication Date: 2024-04-20
    Description: An ice-tethered buoy system (2020O10) carrying 5 CTDs was deployed by RV Polarstern in the central Arctic Ocean in August 2020 as part of MOSAiC Leg 5 (PS122/5). The buoy was equipped with 5 Seabird SBE37IMP Microcat CTDs mounted along an 100m long inductive modem tether at depths of 10, 20, 50, 75 and 100m. The buoy was installed close to the main buoy site in the central observatory of Leg 5, and co-located with multiple Snow Buoys, Ice Mass Balance Buoys and other, more complex instruments. The individual instruments were programmed to record oceanographic data internally at 2-minute intervals. The surface unit of the buoy prompted the instruments for an additional measurement every 10 minutes, which was then transmitted to a base station via iridium along with GPS position and time, as well as surface temperature. After a several months long drift through the central Arctic Ocean and Nordic Seas, the buoy was recovered in Húnaflói, Iceland in October 2022. As a result, the internally recorded 2-minute data from the CTDs could also be secured. The attached zip archive comprises the unprocessed 10-minute data transmitted by the buoy, the 2-minute data downloaded and converted from the 5 individual CTDs after their recovery, as well as selected auxiliary information. A processed and quality controlled version of this dataset will be provided and linked to upon completion.
    Keywords: 2020O10; Arctic Ocean; buoy; BUOY_CTD_CHAIN; Buoy; CTD chain; CTD; FRAM; FRontiers in Arctic marine Monitoring; Iceland; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; oceanography; Polarstern; PS122/5; PS122/5_58-94; Transpolar Drift
    Type: Dataset
    Format: application/zip, 86.3 MBytes
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  • 10
    Publication Date: 2024-04-20
    Description: Videos and extracted frames from Blueye ROV camera during MOSAiC Leg 4 (PS122/4) and Leg 5 (PS122/2). During Leg 4, images were taken in a lead and under level ice on 07.07.2020 when the ice floe was located in the western Fram Strait (81 37N, 4 17E). The footage shows an algae layer at the interface between the freshwater lens, originating from meltwater at the surface, and the more saline ocean water below. During leg 5, images were taken in a lead and under level ice on 12.09.2020 in the Amundsen Basin (88 46N, 100 24E). These images show platelet ice at the base of the ice.
    Keywords: algae; Antarctic Ocean; Arctic; Arctic Ocean mixing processes and vertical fluxes of energy and matter; AROMA; Binary Object; Binary Object (File Size); Blueye; BLUEYE; Blueye ROV; Event label; Fram Strait; freshwater; ice algae; Ice-algae; Image; Image (File Size); Leg Number; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; platelet ice; Polarstern; PS122/4; PS122/4_99-74; PS122/4_99-75; PS122/5; PS122/5_99-77; ROV; Sea ice; video footage
    Type: Dataset
    Format: text/tab-separated-values, 110 data points
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