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  • 2020-2024  (35,629)
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  • 1
    Publication Date: 2024-06-25
    Description: This hydrographic data set includes CTD and XCTD data from the long-term Hydrographic Fjord Program in Godthåbsfjord, Greenland, collected by Greenland Climate Research Centre, Greenland Institute of Natural Resources (GINR), Nuuk, Greenland. XCTDs were deployed from a helicopter close to a marine terminating outlet glacier. The CTDs in Godthåbsfjord were occupied at the edge of a dense ice field during small boat (Avataq) day trips to the inner part of the fjord. The CTDs outside Godthåbsfjord were obtained by RV Sanna and HDMS EJNAR MIKKELSEN in connection with GINR's annual monitoring program.
    Keywords: Fjord; freshwater sources; Greenland; subglacial discharge; tidewater outlet glaciers
    Type: Dataset
    Format: application/zip, 18 datasets
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-06-25
    Description: Measurements of solar radiation over and under drifting sea ice have been performed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) between November 2019 and September 2020. All radiation measurements have been performed with RAMSES spectral radiometers (TriOS, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors were mounted on a Remotely Operated Vehicle (ROV), one irradiance sensor (cos-collector) for energy budget calculations and one radiance sensor (7° opening angle) to obtain high resolution spatial variability. One additional radiometer was installed on the sea ice for surface reference measurements (solar irradiance). All radiation data sets contain the full spectral resolution values interpolated to 1.0 nm, the integrated fluxes over the photosynthetically active radiation (PAR, 400-700nm) range and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). This is a raw data set, including all recorded spectra without any selection. Along with the radiation measurements, ROV positions were obtained from acoustic LBL (Long Base Line)-positioning and all parameters of vehicle depth, distance to the ice and attitude recorded. All times are given in UTC.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-113; PS122/1_5-62; PS122/1_6-118; PS122/1_6-16; PS122/1_6-31; PS122/1_7-18; PS122/1_8-125; PS122/1_9-22; PS122/2; PS122/2_18-10; PS122/2_18-19; PS122/2_18-89; PS122/2_19-115; PS122/2_19-27; PS122/2_20-101; PS122/2_20-23; PS122/2_21-125; PS122/2_21-36; PS122/2_22-107; PS122/2_22-45; PS122/2_23-116; PS122/2_23-29; PS122/2_24-70; PS122/2_24-97; PS122/2_25-104; PS122/2_25-44; PS122/3; PS122/3_29-14; PS122/3_29-65; PS122/3_30-69; PS122/3_31-17; PS122/3_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; PS122/3_33-27; PS122/3_33-83; PS122/3_34-20; PS122/3_35-32; PS122/3_35-95; PS122/3_36-112; PS122/3_36-125; PS122/3_36-24; PS122/3_37-108; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-20; PS122/3_39-77; PS122/4; PS122/4_44-162; PS122/4_44-191; PS122/4_44-206; PS122/4_45-129; PS122/4_45-149; PS122/4_45-61; PS122/4_46-172; PS122/4_46-174; PS122/4_46-175; PS122/4_46-176; PS122/4_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_47-31; PS122/4_48-213; PS122/4_48-4; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-165; PS122/5_60-166; PS122/5_60-167; PS122/5_60-28; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-65; Radiation fluxes; Remotely operated sensor platform BEAST; ROV remotely operated vehicle; Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 498 datasets
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  • 3
    Publication Date: 2024-06-25
    Description: During the “Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)” in 2019/2020 a Distributed Network (DN) of autonomous stations (buoys) was installed on the sea ice and drifted across the Arctic Ocean. This network consisted of 〉200 individual devices ranging from simple position buoys to complex and interdisciplinary multi-sensor platforms. Most (complex) measurements were performed on sea ice floes (sites or nodes) by co-located instruments. These sites were called medium (M) and large (L) sites. In addition, autonomous instruments were operated in the Central Observatory (CO), which consisted of the research ice breaker Polarstern and the adjacent ice camp. Initially, 4 L and 9 M sites were installed around the CO in a distance of up to 40 km. However, their distances and relative positions changed over time due to the drift of the ice pack over time. Over the course of the MOSAiC expedition, 3 different COs were established because of re-locations of RV Polarstern: CO1 started with the first drift of Polarstern on 04 October 2019; CO2 started with the second drift on 19 June 2020; and CO3 started with the third drift on 21 August 2020.
    Keywords: 2019O4; 2019O6; 2019T66; 2019V4; 2020M26; 2020O10; 2020P225; AF-MOSAiC-1; AF-MOSAiC-1_105; AF-MOSAiC-1_109; AF-MOSAiC-1_112; AF-MOSAiC-1_117; AF-MOSAiC-1_120; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_128; AF-MOSAiC-1_77; AF-MOSAiC-1_86; AF-MOSAiC-1_95; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_3; AT-MOSAiC-1_4; BUOY_CTD_CHAIN; BUOY_SNOW; Buoy, Drift Towing Ocean Profiler; Buoy; CTD chain; CT; distributed network; drift track; DTOP; Ice Mass Balance buoy, flexibel; Ice-Tethered Profiler; IMBflex; ISVP; ITP; ITP94, 2019W2, PS122/1_1-168; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Ocean CTD buoy; OCTDB; Polarstern; PS122/1; PS122/1_1-124; PS122/1_1-139, 2019S94; PS122/1_1-145, 2019S81; PS122/1_1-151, 2019O4; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-172, 2019T69; PS122/1_1-275, 2019V1; PS122/1_1-276, 2019V2; PS122/1_1-278, 2019V4; PS122/1_1-314, 2019T67; PS122/1-track; PS122/2; PS122/2-track; PS122/3; PS122/3_28-114; PS122/3-track; PS122/4; PS122/4_43-68; PS122/4-track; PS122/5; PS122/5_58-94; PS122/5-track; SAMS Ice Mass Balance buoy; SIMBA; Snow buoy; Surface velocity profiler; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 4
    Publication Date: 2024-06-25
    Description: A set of eight ice-tethered buoy systems (2019O1 to 2019O8) were deployed by the Akademik Fedorov in the Northern Laptev Sea in early October 2019 as part of the MOSAiC Distributed Network. Each buoy consisted of 5 Seabird SBE37IMP Microcat CTDs mounted along an inductive modem tether at depths of 10, 20, 50, 75 and 100m. The buoys were installed on stable sea ice floes (designated as “M-sites”) at a distance of 15-35 km around the main MOSAiC ice camp, and co-located with Snow Buoys, Ice Mass Balance Buoys and D-TOP ocean profilers. 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, 4 out of 8 buoys were recovered in August 2020, and the internally recorded data from the CTDs were secured. The attached zip archive comprises the unprocessed 10-minute data transmitted by the buoy (.txt file), as well as the 2-minute data downloaded and converted from the 5 individual CTDs after their recovery (either .cap or .cnv). A processed and quality controlled version of this dataset will be supplemented and linked to upon completion. A link to a data paper describing the processing will be given below.
    Keywords: 2019O1; 2019O3; 2019O4; 2019O6; AF-MOSAiC-1; AF-MOSAiC-1_106; AF-MOSAiC-1_110; AF-MOSAiC-1_114; AF-MOSAiC-1_117; AF-MOSAiC-1_121; AF-MOSAiC-1_124; AF-MOSAiC-1_127; AF-MOSAiC-1_131; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_1; AT-MOSAiC-1_4; buoy; eddy; FRAM; FRontiers in Arctic marine Monitoring; mesoscale; MIDO; MOSAiC; MOSAIC_PO; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; North Greenland Sea; Ocean CTD buoy; oceanography; OCTDB; Polarstern; PS122/1_1-148, 2019O1; PS122/1_1-149, 2019O2; PS122/1_1-150, 2019O3; PS122/1_1-151, 2019O4; PS122/1_1-152, 2019O5; PS122/1_1-153, 2019O6; PS122/1_1-154, 2019O7; PS122/1_1-155, 2019O8; PS122/4; PS122/4_43-149; PS122/4_43-165; Transpolar Drift
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 5
    Publication Date: 2024-06-25
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V4, a.k.a. 2019E, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes the vertical profile of the ocean below the sea ice as a function of place and time between 09 October 2019 and 17 August 2020 in sample intervals of 12 hours. In addition, the DTOP measured air temperature, relative humidity and barometric pressure and GPS position at hourly intervals. This instrument was deployed as part of the projects National Key R&D Program of China and The Marine S&T Fund of Shandong Province for Qingdao National Laboratory for Marine Science and Technology.
    Keywords: 2019V4; AF-MOSAiC-1; AF-MOSAiC-1_120; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_3; autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; Current sea ice maps for Arctic and Antarctic; drift; DTOP; meereisportal.de; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; ocean profile; PS122/1_1-278, 2019V4; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-06-25
    Description: The Snow and Ice Mass Balance Array (SIMBA) is a thermistor string type IMB (Jackson et al., 2013) which measures the environment temperature SIMBA-ET and temperature change around the thermistors after a weak heating applied to each sensor (SIMBA-HT). Totally, there were 22 SIMBAs deployed in the Arcitic Ocean over the Distributed Network (DN) and the Central Observatory during the Legs 1a, 1 and 3 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign. The SIMBA thermistor chain is 5.12 m long, and equipped with 256 thermistors (Maxim Integrated DS28EA00) at 0.02 m spacing. Based on a manual identification method, the SIMBA-ET and SIMBA-HT were processed to yield snow depth and ice thickness. Here, we combined the two optimal methods (the ET vertical gradient and HT rise ratio) to reduce the uncertainty. To keep the consistency, we use the snow or ice surface, consequentially the snow depth, determined by the ET vertical gradient. The formations of snow ice and superposed ice are not considered in this data set. That is to say, the value of snow depth includes the layers of snow ice at two sites (2019T56 and 2019T72). The superposed ice was generally negligible. We used the HT rise ratio to determine the ice-water interface, consequentially the ice thickness. Overall, the measurement accuracy was 0.02 m for both the snow depth and ice thickness. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The submitted data package include 19 data files (for each buoy) and 1 buoy information file.
    Keywords: 2019T56, FMI_05_06; 2019T58; 2019T62; 2019T62, PRIC_09_01; 2019T64; 2019T66; 2019T67; 2019T68; 2019T70; 2020T73, PRIC_10_01; 2020T74, PRIC_10_02; 2020T75, PRIC_10_03; 2020T76, PRIC_10_04; 2020T77, PRIC_10_05; 2020T79; 2020T79, PRIC_10_07; AF-MOSAiC-1; AF-MOSAiC-1_103; AF-MOSAiC-1_115; AF-MOSAiC-1_118; AF-MOSAiC-1_122; AF-MOSAiC-1_128; AF-MOSAiC-1_182; AF-MOSAiC-1_77; AF-MOSAiC-1_89; AF-MOSAiC-1_90; AF-MOSAiC-1_99; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_2; AT-MOSAiC-1_5; ice thickness; mass balance; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-124; PS122/1_1-125; PS122/1_1-171, 2019T68, FMI_06_01; PS122/1_1-172, 2019T69; PS122/1_1-173, 2019T70, FMI_06_03; PS122/1_1-175, 2019T72, FMI_06_05; PS122/1_1-177, 2019T58, FMI_05_09; PS122/1_1-224, 2019T63, PRIC_09_02; PS122/1_1-225, 2019T64, PRIC_09_03; PS122/1_1-226, 2019T65, PRIC_09_04; PS122/1_1-272; PS122/1_1-285; 2019T47; FMI04-06; PS122/1_1-314, 2019T67; PS122/3; PS122/3_28-107; PS122/3_28-91; PS122/3_28-92; PS122/3_28-93; PS122/3_28-94; PS122/3_28-95; PS122/4; PS122/4_43-155; PS122/4_43-156; PS122/4_43-163; PS122/4_43-170; PS122/4_43-174; SAMS Ice Mass Balance buoy; Sea ice; SIMBA; snow depth
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 7
    Publication Date: 2024-06-25
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T58 (a.k.a. FMI_05_09, IRIDIUM number 300234065171790) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in October 2019. The buoy was deployed at M4 site with initial thicknesses of snow and ice of 0.08 and 0.84 m, respectively, on 7 October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 64 to -414 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 7 October 2019 and 21 July 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2019T58; AF-MOSAiC-1; AF-MOSAiC-1_115; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_2; distributed network; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; PS122/1_1-177, 2019T58, FMI_05_09; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 8
    Publication Date: 2024-06-25
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T64 (a.k.a. PRIC_09_03, IRIDIUM number 300234068701300) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) in October 2019. The buoy was deployed at the M6 site with initial thicknesses of snow and ice of 0.16 and 1.74 m, respectively, on 10 October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2 cm. The depths for the sensors are 68 to -410 cm, referring to the initial interface between snow and ice. The last sensor was used to measure the air temperature at 1 m above the initial snow surface. The resulting time series describes the evolution of temperature and temperature differences after two heating cycles of 30 and 120 s as a function of depth and time between 10 October 2019 and 2 August 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, tilt and compass were measured.
    Keywords: 2019T64; AF-MOSAiC-1; AF-MOSAiC-1_122; Akademik Fedorov; Akademik Tryoshnikov; Arctic Ocean; AT-MOSAiC-1; AT-MOSAiC-1_5; distributed network; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; PS122/1_1-225, 2019T64, PRIC_09_03; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
    Publication Date: 2024-06-25
    Description: This dataset captures the yearlong evolution of physical properties of the snow cover over Arctic sea ice during the MOSAiC expedition (October 2019-September 2020). It also includes the surface scattering layer that is typical of the melting summer sea ice surface. This dataset is specifically for measurements that were logged as “snowpit events” during MOSAiC. The snowpit events were either detailed point-measurements of vertical snow profiles or horizontally repeated transects, measured at selected locations in designated undisturbed areas. One snowpit event corresponds to one site visit. The snowpits are often co-located with measurements from other MOSAiC teams to improve our understanding of how snow cover affects and interacts with the atmosphere-sea ice-ocean-ecology system. Most snowpits were measured at least bi-weekly to capture the temporal evolution of physical properties of snow. Some snowpits were one-off events to capture interesting and unplanned-for surface conditions. This dataset includes 576 snowpit events, and describes the snow conditions during the entire expedition. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-11; PS122/1_10-18; PS122/1_10-5; PS122/1_10-50; PS122/1_10-58; PS122/1_10-70; PS122/1_10-71; PS122/1_10-72; PS122/1_11-23; PS122/1_4-10; PS122/1_5-28; PS122/1_5-35; PS122/1_5-5; PS122/1_6-146; PS122/1_6-147; PS122/1_6-29; PS122/1_6-30; PS122/1_6-41; PS122/1_6-42; PS122/1_6-43; PS122/1_6-44; PS122/1_6-45; PS122/1_6-46; PS122/1_6-47; PS122/1_6-5; PS122/1_6-6; PS122/1_6-65; PS122/1_6-66; PS122/1_6-67; PS122/1_6-68; PS122/1_6-69; PS122/1_6-70; PS122/1_6-75; PS122/1_7-12; PS122/1_7-129; PS122/1_7-32; PS122/1_7-33; PS122/1_7-34; PS122/1_7-35; PS122/1_7-36; PS122/1_7-37; PS122/1_7-38; PS122/1_7-5; PS122/1_7-68; PS122/1_7-69; PS122/1_7-70; PS122/1_7-71; PS122/1_7-72; PS122/1_7-73; PS122/1_7-8; PS122/1_7-87; PS122/1_7-88; PS122/1_8-1; PS122/1_8-27; PS122/1_8-28; PS122/1_8-29; PS122/1_8-30; PS122/1_8-31; PS122/1_8-32; PS122/1_8-68; PS122/1_8-69; PS122/1_8-70; PS122/1_8-78; PS122/1_8-79; PS122/1_9-111; PS122/1_9-117; PS122/1_9-23; PS122/1_9-25; PS122/1_9-3; PS122/1_9-71; PS122/1_9-72; PS122/1_9-73; PS122/1_9-74; PS122/2; PS122/2_16-24; PS122/2_16-44; PS122/2_16-45; PS122/2_16-46; PS122/2_16-62; PS122/2_16-73; PS122/2_16-9; PS122/2_16-90; PS122/2_17-109; PS122/2_17-16; PS122/2_17-43; PS122/2_17-44; PS122/2_17-45; PS122/2_17-46; PS122/2_17-47; PS122/2_17-49; PS122/2_17-89; PS122/2_17-90; PS122/2_17-91; PS122/2_18-107; PS122/2_18-108; PS122/2_18-17; PS122/2_18-47; PS122/2_18-52; PS122/2_18-53; PS122/2_18-54; PS122/2_18-55; PS122/2_18-56; PS122/2_18-66; PS122/2_18-76; PS122/2_18-8; PS122/2_18-9; PS122/2_19-128; PS122/2_19-129; PS122/2_19-131; PS122/2_19-132; PS122/2_19-133; PS122/2_19-134; PS122/2_19-135; PS122/2_19-137; PS122/2_19-141; PS122/2_19-142; PS122/2_19-144; PS122/2_19-145; PS122/2_19-146; PS122/2_19-160; PS122/2_19-161; PS122/2_19-181; PS122/2_19-28; PS122/2_19-35; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-107; PS122/2_20-108; PS122/2_20-123; PS122/2_20-136; PS122/2_20-137; PS122/2_20-138; PS122/2_20-139; PS122/2_20-140; PS122/2_20-141; PS122/2_20-142; PS122/2_20-143; PS122/2_20-144; PS122/2_20-145; PS122/2_20-164; PS122/2_20-35; PS122/2_20-36; PS122/2_20-4; PS122/2_20-70; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-158; PS122/2_21-159; PS122/2_21-16; PS122/2_21-170; PS122/2_21-52; PS122/2_21-53; PS122/2_21-72; PS122/2_21-84; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-66; PS122/2_22-67; PS122/2_22-68; PS122/2_22-69; PS122/2_22-73; PS122/2_22-74; PS122/2_23-105; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-78; PS122/2_23-79; PS122/2_23-85; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-16; PS122/2_24-35; PS122/2_24-56; PS122/2_24-81; PS122/2_24-86; PS122/2_25-105; PS122/2_25-128; PS122/2_25-22; PS122/2_25-23; PS122/2_25-59; PS122/2_25-60; PS122/2_25-61; PS122/2_25-62; PS122/2_25-63; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-38; PS122/3_29-43; PS122/3_29-50; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-42; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-41; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_32-93; PS122/3_33-102; PS122/3_33-103; PS122/3_33-112; PS122/3_33-113; PS122/3_33-40; PS122/3_33-41; PS122/3_33-42; PS122/3_33-65; PS122/3_33-66; PS122/3_34-2; PS122/3_34-34; PS122/3_34-45; PS122/3_34-46; PS122/3_34-60; PS122/3_34-91; PS122/3_35-111; PS122/3_35-120; PS122/3_35-121; PS122/3_35-23; PS122/3_35-24; PS122/3_35-53; PS122/3_35-56; PS122/3_36-102; PS122/3_36-103; PS122/3_36-104; PS122/3_36-105; PS122/3_36-106; PS122/3_36-107; PS122/3_36-137; PS122/3_36-138; PS122/3_36-14; PS122/3_36-15; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-130; PS122/3_37-131; PS122/3_37-132; PS122/3_37-133; PS122/3_37-156; PS122/3_37-21; PS122/3_37-22; PS122/3_37-39; PS122/3_37-40; PS122/3_37-41; PS122/3_37-56; PS122/3_37-57; PS122/3_37-58; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-142; PS122/3_38-152; PS122/3_38-4; PS122/3_38-51; PS122/3_38-52; PS122/3_38-93; PS122/3_38-94; PS122/3_38-95; PS122/3_38-96; PS122/3_38-97; PS122/3_38-98; PS122/3_39-45; PS122/3_39-46; PS122/3_39-47; PS122/3_39-48; PS122/3_39-87; PS122/3_39-88; PS122/3_39-89; PS122/3_39-90; PS122/3_39-91; PS122/3_39-92; PS122/3_40-14; PS122/3_40-15; PS122/4; PS122/4_44-121; PS122/4_44-122; PS122/4_44-155; PS122/4_44-156; PS122/4_44-157; PS122/4_44-193; PS122/4_44-215; PS122/4_44-216; PS122/4_44-218; PS122/4_44-220; PS122/4_44-249; PS122/4_44-44; PS122/4_44-45; PS122/4_44-46; PS122/4_44-47; PS122/4_45-107; PS122/4_45-108; PS122/4_45-132; PS122/4_45-16; PS122/4_45-17; PS122/4_45-176; PS122/4_45-177; PS122/4_45-179; PS122/4_45-18; PS122/4_45-180; PS122/4_45-181; PS122/4_45-182; PS122/4_45-46; PS122/4_45-62; PS122/4_45-63; PS122/4_45-8; PS122/4_45-86; PS122/4_45-87; PS122/4_45-89; PS122/4_46-104; PS122/4_46-105; PS122/4_46-106; PS122/4_46-107; PS122/4_46-108; PS122/4_46-109; PS122/4_46-110; PS122/4_46-111; PS122/4_46-112; PS122/4_46-135; PS122/4_46-138; PS122/4_46-139; PS122/4_46-140; PS122/4_46-146; PS122/4_46-181; PS122/4_46-187; PS122/4_46-188; PS122/4_46-190; PS122/4_46-191; PS122/4_46-192; PS122/4_46-288; PS122/4_46-29; PS122/4_46-30; PS122/4_46-31; PS122/4_46-32; PS122/4_46-48; PS122/4_46-50; PS122/4_47-156; PS122/4_47-175; PS122/4_47-176; PS122/4_47-177; PS122/4_47-178; PS122/4_47-179; PS122/4_47-22; PS122/4_47-23; PS122/4_47-61; PS122/4_47-66; PS122/4_47-76; PS122/4_47-77; PS122/4_47-97; PS122/4_48-100; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/4_48-147; PS122/4_48-148; PS122/4_48-177; PS122/4_48-186; PS122/4_48-187; PS122/4_48-188; PS122/4_48-189; PS122/4_48-190; PS122/4_48-191; PS122/4_48-196; PS122/4_48-40; PS122/4_48-41; PS122/4_48-42; PS122/4_48-43; PS122/4_48-44; PS122/4_48-45; PS122/4_48-47; PS122/4_48-58; PS122/4_48-83; PS122/4_48-85; PS122/4_48-86; PS122/4_49-15; PS122/4_49-19; PS122/4_49-20; PS122/4_49-46; PS122/4_49-47; PS122/4_49-48; PS122/4_49-7; PS122/4_49-8; PS122/4_99-56; PS122/4_99-57; PS122/4_99-58; PS122/4_99-59; PS122/4_99-60; PS122/4_99-61; PS122/4_99-62; PS122/4_99-63; PS122/4_99-65; PS122/4_99-66; PS122/4_99-67; PS122/4_99-68; PS122/4_99-69; PS122/4_99-70; PS122/4_99-71; PS122/4_99-72; PS122/4_99-73; PS122/5; PS122/5_59-193; PS122/5_59-204; PS122/5_59-206; PS122/5_59-222; PS122/5_59-235; PS122/5_59-250; PS122/5_59-267; PS122/5_59-268; PS122/5_59-292; PS122/5_59-302; PS122/5_59-303; PS122/5_59-304; PS122/5_59-313; PS122/5_59-314; PS122/5_59-315; PS122/5_59-350; PS122/5_59-351; PS122/5_59-352; PS122/5_59-353; PS122/5_59-354; PS122/5_59-368; PS122/5_60-10; PS122/5_60-117; PS122/5_60-118; PS122/5_60-119; PS122/5_60-120; PS122/5_60-128; PS122/5_60-142; PS122/5_60-143; PS122/5_60-144; PS122/5_60-145; PS122/5_60-168; PS122/5_60-170; PS122/5_60-2; PS122/5_60-24; PS122/5_60-25; PS122/5_60-26; PS122/5_60-43; PS122/5_60-74; PS122/5_60-75; PS122/5_60-76; PS122/5_60-77; PS122/5_60-78; PS122/5_60-91; PS122/5_61-10; PS122/5_61-102; PS122/5_61-103; PS122/5_61-104; PS122/5_61-105; PS122/5_61-132; PS122/5_61-138; PS122/5_61-139; PS122/5_61-140; PS122/5_61-162; PS122/5_61-166; PS122/5_61-167; PS122/5_61-168; PS122/5_61-170; PS122/5_61-198; PS122/5_61-2; PS122/5_61-230; PS122/5_61-231; PS122/5_61-232; PS122/5_61-233; PS122/5_61-234; PS122/5_61-235; PS122/5_61-236; PS122/5_61-237; PS122/5_61-25; PS122/5_61-27; PS122/5_61-28; PS122/5_61-29; PS122/5_61-4; PS122/5_61-5; PS122/5_61-8; PS122/5_61-9; PS122/5_61-97; PS122/5_62-10; PS122/5_62-100; PS122/5_62-101; PS122/5_62-102; PS122/5_62-119; PS122/5_62-123; PS122/5_62-124; PS122/5_62-125; PS122/5_62-126; PS122/
    Type: Dataset
    Format: application/zip, 15 datasets
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-06-25
    Description: This data set collection provides quality controlled temperature, conductivity and pressure measurements from moored instrumentation (Seabird Microcat) in the Denmark Strait. Practical salinity was calculated from the measured quantities and is provided as well. Temporal resolution of the time series is 10 to 20 minutes. The data was collected between 2005 to 2015 at the location of mooring DS2. This mooring is part of the Denmark Strait Overflow array and maintained by the Institute of Oceanography, University Hamburg. The purpose of the array is to monitor the properties and variability of the dense Denmark Strait Overflow.
    Keywords: Denmark Strait; DS2-05; DS2-07; DS2-08; DS2-09; DS2-11; DS2-12; DS2-13; DS2-14; Greenland Sea; M85/2; M85/2_919-1; Maria S. Merian; Meteor (1986); MOOR; Mooring; MSM05/4; MSM12/1; NACLIM; North Atlantic; North Atlantic Climate; Overflow; POS437/1; POS471/2; Poseidon; Temperature and Salinity; Thermohaline Overturning – at Risk?; THOR
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Expected Availability
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