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  • PANGAEA  (35,333)
  • Frontiers Media SA
  • 2020-2024  (37,113)
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  • 1
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    In:  Department of Earth Science and Engineering, Imperial College London | Supplement to: Cronan, David S (1976): Basal metalliferous sediments from the eastern Pacific. Geological Society of America Bulletin, 87(6), 928-934, https://doi.org/10.1130/0016-7606(1976)87%3C928:BMSFTE%3E2.0.CO;2
    Publication Date: 2024-07-01
    Description: Analyses by atomic absorption spectrophotometry and spark-source mass spectrography of 25 basal metalliferous sediment units from widely spaced locations on the western flank of the East Pacific Rise show that the deposits are enriched relative to normal pelagic sediment in Fe, Mn, Ni, Cu, Pb, Zn, and many trace elements. The elements are partitioned differently between the various mineralogic constituents of the sediment, with Fe and Mn largely in separate phases and many of the remaining elements primarily associated with reducible ferromanganese oxide minerals but also with iron minerals and other phases. Most of the iron in the deposits is probably of volcanic origin, and much of the manganese and minor elements is derived from sea water. The bulk composition of the deposits varies with age; this is thought to be due to variations in the incidence of volcanic activity at the East Pacific Rise crest where the deposits were formed.
    Keywords: 16-162; 5-37; 5-38; 5-39; 7-66; 8-74; 8-75; 9-77B; 9-78; 9-80; 9-82; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg16; Leg5; Leg7; Leg8; Leg9; North Pacific/BASIN; North Pacific/CONT RISE; North Pacific/HILL; South Pacific/BASIN; South Pacific/CONT RISE; South Pacific/VALLEY
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2024-07-01
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V1, a.k.a. 2019A, 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 06 October 2019 and 09 May 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: AF-MOSAiC-1; AF-MOSAiC-1_105; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; Current sea ice maps for Arctic and Antarctic; drift; drifter; DTOP; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean profiles; PS122/1_1-275, 2019V1; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
    Publication Date: 2024-07-01
    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: 2024-07-01
    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: 2024-07-01
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V2, a.k.a. 2019B, 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 07 October 2019 and 09 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: AF-MOSAiC-1; AF-MOSAiC-1_109; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; Current sea ice maps for Arctic and Antarctic; drift; DTOP; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean profiles; PS122/1_1-276, 2019V2; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-07-01
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V3, a.k.a. 2019C, 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 07 October 2019 and 03 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: 2019V3; AF-MOSAiC-1; AF-MOSAiC-1_113; Akademik Fedorov; Arctic Ocean; 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; ocean profile; Polarstern; PS122/1_1-277, 2019V3; PS122/4; PS122/4_43-160; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 7
    Publication Date: 2024-07-01
    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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  • 8
    Publication Date: 2024-07-01
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2019V5, a.k.a. 2019D, 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 11 October 2019 and 25 October 2019 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: AF-MOSAiC-1; AF-MOSAiC-1_130; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; Current sea ice maps for Arctic and Antarctic; drift; DTOP; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; ocean profile; PS122/1_1-279, 2019V5; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T69 (a.k.a. FMI6-02) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of MOSAiC in October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2cm. 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 place, depth and time between 11 October 2019 and 30 September 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, air temperature measured 1m over the ice level, tilt and compass were measured.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_128; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Current sea ice maps for Arctic and Antarctic; drift; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-172, 2019T69; SAMS Ice Mass Balance buoy; SIMBA; Temperature; Thermistor
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 10
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T67 (a.k.a. PRIC_09_06) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of MOSAiC in October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2cm. 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 place, depth and time between 05 October 2019 and 06 August 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, air temperature measured 1m over the ice level, tilt and compass were measured.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_77; Akademik Fedorov; Arctic Ocean; autonomous platform; buoy; Current sea ice maps for Arctic and Antarctic; drift; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-314, 2019T67; SAMS Ice Mass Balance buoy; SIMBA; Temperature; Thermistor
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 11
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T66 (a.k.a. PRIC_09_05) is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the 1st leg of MOSAiC in October 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2cm. 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 place, depth and time between 29 October 2019 and 14 August 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position, barometric pressure, air temperature measured 1m over the ice level, tilt and compass were measured.
    Keywords: 2019T66; autonomous platform; buoy; Current sea ice maps for Arctic and Antarctic; drift; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-124; SAMS Ice Mass Balance buoy; SIMBA; Temperature; Thermistor
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 12
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T62 (a.k.a. PRIC_09_01,IRIDIUM number 300234068706290) 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 second year coring site of the MOSAiC central observatory with initial thicknesses of snow and ice of 0.18 and 0.80 m, respectively, on 29 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 96 to -382 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 place, depth and time between 29 October 2019 and 28 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 until 1 August 2020.
    Keywords: 2019T62; 2019T62, PRIC_09_01; Arctic Ocean; Coring site; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC_ICE; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-125; PS122/4; PS122/4_43-156; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 13
    Publication Date: 2024-07-01
    Description: One unmanned ice station (UIS) has been deployed at the L3 site (85.13ºN, 135.68ºE) of the Distributed Network (DN) of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign on 10 October 2019. The UIS is a new prototype of IMB assembled by the Polar Research Institute of China, which consists of two separate units (ice and ocean) to measure physical parameters of the air-snow-sea ice-ocean system. For the ice unit, two acoustic sensors (Campbell SR50A and Teledyne-Benthos PSA916, respectively) are used to measure the relative changes in the position of the air/snow and ice/water interfaces. Thermistors (Maxim Integrated DS28EA00) mounted at 0.03 m spacing along a 4.5-m thermistor chain were used to measure temperature profiles. Air temperature and relative humidity (Vaisala HMP155A), as well as barometric pressure (Vaisala CS106), were measured at 1.5 m height above the initial snow surface. The UIS ocean unit (CT package) consisted of five conductivity & temperature sensors (RBR duo CT), one conductivity, and temperature & depth (pressure) sensor (RBR concerto CTD). The ocean unit were used to measure upper ocean at the depths of about 5-40 m, with the initial depths of 5.4, 10.4, 15.4, 20.4, 25.4, and 40.4 m. The ice and ocean units of UIS were deployed 10 m apart. The initial ice thickness and snow depth at the buoy deployment site were 1.53 and 0.15 m, respectively. The changes in ice thickness was determined using measurements by the underwater acoustic sounder. The measuring noise of the acoustic sounder has been removed. Since the acoustic sensor at the surface was invalid very soon after the deployment, the evolution of the air/snow interface was determined using the temperature profiles. Overall, the measurement accuracy was 0.1 K for temperature, 0.03 m for the snow or ice surface, and 0.01 m for the ice bottom, respectively. After the snow cover melted over, the negative values for the snow depth indicate the onset of ice surface melt. The changes in the depths of CT sensors were estimated based on their initial depths and the depth measured by the CTD at the bottom of CT package. The measurement of the UIS ice unit lasted until 15 June 2020 when the buoy drifted to 82.28°N; while the ocean unit lasted until 28 September 2020 and finally failed at 74.09°N.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_100; Akademik Fedorov; Arctic Ocean; CT package; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-263; PS122/4; PS122/4_43-177; Sea ice mass balance; UnIS; Unmanned ice station; Unmanned Ice Station
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 14
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T68 (a.k.a. FMI_06_01, IRIDIUM number 300234068708330) 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 M1site with initial thicknesses of snow and ice of 0.17 and 1.81 m, respectively, on 5 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 81 to -397 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 5 October 2019 and 5 June 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: 2019T68; AF-MOSAiC-1; AF-MOSAiC-1_103; Akademik Fedorov; Arctic Ocean; distributed network; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-171, 2019T68, FMI_06_01; PS122/4; PS122/4_43-163; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperate
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 15
    Publication Date: 2024-07-01
    Description: Alkenone concentration and radiocarbon age in 7 gobally-distributed surface sediment samples and their associated grain-size fractions. Total organic carbon (TOC) and fractional abundance of grain-size fractions from bulk sediments (Bulk%) are taken from Ausín et al. (2021). Analytical precision of Uk'37 is 0.003 units. Uk'37-SST propagated error is ±0.51℃. These parameters were measured to explore the influence of alkenone-mineral associations and hydrodynamic mineral sorting processes on alkenone proxy signals. Bulk sediment samples were fractionated into four grain-size fractions (sand (〉300-63 µm); coarse silt (63-10 µm); fine silt (10-2 µm); and clay (〈 2 µm) prior to lipid extraction and manual column chromatography to obtain a ketone fraction containing the alkenones. The concentration and distribution of C37 alkenones was analyzed using gas chromatography with flame ionization detection (GC-FID) at the Biogeoscience Group Laboratories, ETH Zürich in 2018. The ketone fractions used for determination of alkenone concentration and unsaturation were further purified for compound specific radiocarbon analysis following Ohkouchi et al. (2005). Samples, were measured as CO2 using an Elemental-Analyzer system interface coupled to a gas ion source (GIS)-equipped Minicarbon Dating System (MICADAS) at the Laboratory of Ion Beam Physics, ETH Zürich in 2018. References Ausín, B., Bruni, E., Haghipour, N., Welte, C., Bernasconi, S. M., & Eglinton, T. I. Controls on the abundance, provenance and age of organic carbon buried in continental margin sediments. Earth and Planetary Science Letters, 558, 116759, doi:10.1016/j.epsl.2021.116759, 2021. Ohkouchi, N., Xu, L., Reddy, C. M., Montluon, D., & linton, T. I. Radiocarbon dating of alkenones from marine sediments: I. Isolation Protocol Radiocarbon, 47, 401-412, doi:10.1017/S0033822200035189, 2005.
    Keywords: Alkenones; grain-size fractions; Lateral transport; radiocarbon
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 16
    Publication Date: 2024-07-01
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R9, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 07 October 2019 and 17 June 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. 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, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, uncompensated and compensated conductivity of water as well as relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_71; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-313, 2019R9; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: application/zip, 17 datasets
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  • 17
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC12 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 05 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 05 November 2019 and 14 May 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second-year ice ridge next to RV Polarstern and remote sensing site RS1.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC12; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-123; PS122/4; PS122/4_47-149; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 18
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC20 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 8 January 2020. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 22 November 2019 and 15 July 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second-year ice along Transect North: doi:10.1594/PANGAEA.937781.
    Keywords: autonomous platform; buoy; Digital thermistor chain; DTC; DTC20; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-236; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 19
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC15 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 07 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 05 November 2019 and 07 January 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the deformed second-year ice ridge next to RV Polarstern and remote sensing site RS1.
    Keywords: autonomous platform; buoy; Digital thermistor chain; DTC; DTC15; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-120; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 20
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC33 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 22 November 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 22 November 2019 and 15 July 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in undeformed second-year ice at Transect North: https://doi.org/10.1525/elementa.2022.00048. Radiation station 2020R14 was installed next to the DTC33: doi:10.1594/PANGAEA.948572.
    Keywords: autonomous platform; buoy; Digital thermistor chain; DTC; DTC33; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-235; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 21
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC31 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 22 November 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 22 November 2019 and 15 July 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in deformed second-year ice at Transect North. Radiation station 2020R14 was installed next to the DTC31: doi:10.1594/PANGAEA.948572.
    Keywords: autonomous platform; buoy; Digital thermistor chain; DTC; DTC31; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-233; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 22
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC22 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 08 December 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 08 December 2019 and 12 May 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second-year ice ridge next to RV Polarstern, remote sensing site RS2 and L-band scatterometer.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC22; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-268; PS122/3; PS122/3_28-132; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 23
    Publication Date: 2024-07-01
    Description: Vertical profiles of water temperature, salinity, dissolved oxygen and chlorophyll were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2018, an autonomous platform, installed on drifting sea ice (ice thickness: 155cm; snow depth: 5cm; freeboard: 10cm) in the Arctic Ocean during Chinese Arctic Research Expedition 2018. The resulting time series describes the vertical profile of the ocean below the sea ice as a function of place and time between 22 August 2018 and 24 December 2018 in sample intervals of 12 hours. In addition, the DTOP measured air temperature, relative humidity and barometric pressure and GPS position at hourly intervals.
    Keywords: autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; CHINARE_9; chlorophyll; dissolved oxygen; drift; drifter; DTOP; DTOP2018; ocean profiles; Salinity; Temperature; Xue Long
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 24
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC32 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 22 November 2020. The thermistor chain was 5.12 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 22 November 2019 and 15 July 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in deformed second-year ice at Transect North. Radiation station 2020R14 was installed next to the DTC32: doi:10.1594/PANGAEA.948572.
    Keywords: autonomous platform; buoy; Digital thermistor chain; DTC; DTC32; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-234; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 25
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC23 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 10 December 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 10 December 2019 and 25 March 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the deformed second-year ice next to RV Polarstern, remote sensing site RS2 and X-band scatterometer.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC23; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-302; PS122/3; PS122/3_28-131; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 26
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T56 (a.k.a. FMI_05_06, IRIDIUM number 300234065176750) 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 November 2019. The buoy was deployed at the ~2 km from the ship at the SW direction with initial thicknesses of snow and ice of 0.18 and 0.42 m, respectively, on 2 November 2019. The thermistor chain was 5 m long and included 241 sensors with a regular spacing of 2cm. The depths for the sensors are 80 to -398 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 2 November 2019 and 2 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: 2019T56, FMI_05_06; Arctic Ocean; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-272; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 27
    Publication Date: 2024-07-01
    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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  • 28
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T65 (a.k.a. PRIC_09_04, IRIDIUM number 300234068705730) 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 L2 site with initial thicknesses of snow and ice of 0.16 and 1.74 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 62 to -416 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 30 May 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: AF-MOSAiC-1; AF-MOSAiC-1_89; Akademik Fedorov; Arctic Ocean; distributed network; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-226, 2019T65, PRIC_09_04; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 29
    Publication Date: 2024-07-01
    Description: The horizontal position of the remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020 was measured using an acoustic Long Base Line (LBL) positioning system (LinkQuest Pinpoint). The position was recorded in the SPOT.ON survey systems software (OceanModulesTM). The track was smoothed from initial acoustic fixes and cleaned for most obvious outliers. The position is in a floe-fixed, relative coordinate system (X, Y) with the origin (X=0 m, Y=0 m) at the ROV hole. A quality flag for the position is introduced based on the time to the closest fix with “1” indicating good positon (fix reached 〈= 3s), “2” medium position (fix reached 〉 3s & 〈= 5s), and “3” bad position (fix reached 〉 5s). Depending on the scientific aim, a position with quality flag “3” can still be useful. Vehicle depth was measured by the integrated pressure sensor and calibrated to 0 during pre-survey procedures, when the top side of the vehicle was at the same level as the water surface. Vehicle attitude (roll, pitch, heading) was measured with an onboard inertial measuring unit (IMU, Microstrain) with three axis accelerometer, magnetometer and gyroscope. Depth was measured by a pressure sensor (Keller A-21Y, Keller AG) included in the main electronics housing of the ROV.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; PS122/1_8-125; PS122/1_9-22; PS122/2; 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_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 90 datasets
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  • 30
    Publication Date: 2024-07-01
    Description: Quicklook plots for all data collected using a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The horizontal positions in the plots are only the pre-processed version and are not post-processed as described in the comments of the bibliography or as provided in the collection positioning and telemetry.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 93 datasets
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  • 31
    Publication Date: 2024-07-01
    Description: Absorbance and spectral absorption coefficient (SAC) parameters as measured by a VIPER G2 spectral transmissometer (TriOS) mounted in the sensor skid of a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration. The path length was 250 mm and the wavelength range 360-750 nm. More technical details can be found here: https://www.trios.de/en/viper.html.
    Keywords: Arctic Ocean; attenuation coefficient; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 92 datasets
    Location Call Number Expected Availability
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  • 32
    Publication Date: 2024-07-01
    Description: Videos as recorded by a HD-zoom camera (Bowtech Surveyor WAHD) with a 10:1 optical zoom attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-167; PS122/5_60-28; PS122/5_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 142 datasets
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  • 33
    Publication Date: 2024-07-01
    Description: This dataset contains energy content measurements performed on zooplankton collected in the Arctic Ocean during the MOSAiC expedition (PS122) from November 2019 untill September 2020. Energy content measurements were done on Apherusa glacialis, Themisto abyssorum, Chaetognatha, Thysanoessa longicaudata and Calanus hyperboreus. These species are all known prey of polar cod (Boreogadus saida), and their energy content was measured to be included in a bioenergetic model of the growth rate of this predator and to gain insight in the differences between prey species. The meaurements were performed on freeze-dried specimens using a 6725 semi-micro oxygen calorimeter (Parr, USA) connected to a 6772 calorimetric thermometer (Parr, USA).
    Keywords: Arctic; Arctic Ocean; BEAST; bomb-calorimetry; energy density; MOSAiC; MOSAiC_ECO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Nansen closing net; NN; Polarstern; PS122/1; PS122/1_7-48; PS122/1_7-81; PS122/2; PS122/2_17-40; PS122/2_17-77; PS122/2_18-33; PS122/2_19-16; PS122/2_19-31; PS122/2_20-11; PS122/2_20-16; PS122/2_20-24; PS122/2_21-42; PS122/2_22-24; PS122/3; PS122/3_30-69; PS122/3_31-62; PS122/3_36-112; PS122/3_37-108; PS122/3_39-38; PS122/3_39-55; PS122/4; PS122/4_44-75; PS122/4_45-32; PS122/4_45-55; PS122/4_46-41; PS122/4_47-135; PS122/4_48-213; PS122/4_49-21; PS122/5; PS122/5_61-196; PS122/5_62-90; Remotely operated sensor platform BEAST; Ring net; RN; Zooplankton
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 34
    Publication Date: 2024-07-01
    Description: Nitrate and UV-absorbance spectra were measured by a SUNA V2 UV-spectrometer (Satlantic) mounted in the sensor skid of a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_46-177; PS122/4_46-37; PS122/4_47-135; PS122/4_48-213; PS122/4_49-105; PS122/5; PS122/5_59-269; PS122/5_59-369; PS122/5_60-5; PS122/5_61-200; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 71 datasets
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  • 35
    Publication Date: 2024-07-01
    Description: GNSS Raw Data (doi:10.1594/PANGAEA.956114) from board RV Polarstern during the MOSAiC expedition was processed with scintillation-processing software (see Kriegel et al, 2017). The result is stored in .ascii format and contains for each GNSS satellite in view general information such as C/No, Azimuth and Elevation Angle and basic scintillation measurements such as amplitude and phase scintillation index. Results are provided with 1 minute resolution.
    Keywords: Arctic Ocean; GNSS; GNSS Receiver; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_1-3; PS122/1_1-30; PS122/2; PS122/2_14-130; PS122/3; PS122/3_99-89; PS122/4; PS122/4_99-90; PS122/5; PS122/5_58-130
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 36
    Publication Date: 2024-07-01
    Description: The dataset consists of water vapor profiles including the errors of the Raman lidar measurements performed by the PollyXT_Lidar "Arielle" in the Oceanet container at the bow area of Research Vessel Polarstern from 28 September 2019 till 29 February 2020. The profiles are averaged over 30 s and additionally smoothed with a sliding average over 10 min with the smooth2-function. The vertical averaging is 5 bins (bin-width is 7.5 m; the lidar is pointing with a Zenit angle of 5°). Additionally, signal-to-noise (SNR) ratios of the two signals (H2O and N2) and a quality mask (QM) are provided. The quality mask QM is equal to 1 if the SNR_N2〈1 or the SNR_H2O〈SNR-threshold (set to 5). The difference of AOD (Aerosol Optical Depth) between 387 nm and 407 nm is not taken into account. For more information about the water vapor calibration (determination of the calibration constant), please go to Dai, G., et al. (2018) and Seidel, C. (2022).
    Keywords: Arctic Ocean; ATMOBS; Atmospheric Observatory; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; OCEANET; Polarstern; PS122/1; PS122/1_1-38; PS122/2; PS122/2_14-18; PS122/3; PS122/3_28-6; water vapor profiles
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 37
    Publication Date: 2024-07-01
    Description: The effect of increasing hydrostatic pressure on the microbial degradation, the organic matter composition, and the microbiome of 'marine snow' particles was studied in laboratory incubation experiments. Model aggregates were produced from the diatom Skeletonema marinoi and the natural microbial community of surface seawater collected in the Kattegat. The aggregates were incubated individually in rotating pressure and control tanks to keep them suspended during 20-day incubations in the dark and at 3°C. In the pressure tanks, hydrostatic pressure was increased at increments of 5 MPa per day to finally reach 100 MPa. This pressure scheme simulates the descent of diatom aggregates from the surface ocean down into a 10-km deep hadal trench. In the control tanks, pressure always remained at atmospheric level. Aerobic respiration was continuously measured as a proxy for oxidative carbon mineralization in the aggregates (Stief et al. 2021, https://doi.org/10.1002/lno.11791). Leakage of dissolved organic carbon was monitored as an additional carbon loss term. The contents of different diatom lipids and photopigments were measured throughout the incubation. The succession of microbial (mainly bacterial) communities associated with the sinking diatom aggregates was followed by 16S rRNA gene amplicon sequencing throughout the incubation; the corresponding data are deposited in the NCBI short-read archive under the accession number PRJNA976707.
    Keywords: biological carbon pump; Deep sea; Diatom; Hadal trench; hydrostatic pressure; lipids; marine carbon cycle; marine snow; microbial community; pigments; Respiration
    Type: Dataset
    Format: application/zip, 15 datasets
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  • 38
    Publication Date: 2024-07-01
    Description: Upward-looking still images as acquired by a photo camera (Tiger Shark, Imenco) with internal flash and 4 x zoom attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_31-75; PS122/3_32-11; PS122/3_32-33; PS122/3_32-34; PS122/3_32-78; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_46-37; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 88 datasets
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  • 39
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Hunt, John M (1975): Origin of gasoline range alkanes in the deep sea. Nature, 254(5499), 411-413, https://doi.org/10.1038/254411a0
    Publication Date: 2024-07-01
    Description: It is believed that C4 to C7 hydrocarbons in petroleum are formed by the cracking of organic matter at depths generally exceeding 1,000 m at temperatures in excess of 50 °C (Cordel, 1972; Dow, 1974; Tissot et al., 1974)). Also, none of the alkanes in the butane-heptane range are formed biologically as far as is known at present. Consequently, it is thought that they do not occur in shallow, Recent sediments. In 1962, I analysed 22 samples of Recent sediments from 7 different environments and verified that these hydrocarbons were not present at the p.p.m. level (Dunton and Hunt, 1962) although traces of a few hydrocarbons such as butane, isobutane, isopentane and n-heptane have been found (Sokolov, 1957; Veber and Turkeltaub, 1958; Erdman et al., 1958; Emery and Hoggan, 1958). No identification of individual hexanes or heptanes has been reported except when there has been clear evidence of seepage from deeper source sediments (McIver, 1973).
    Keywords: 1-3; 22-217; 22-218; 24-233A; 26-250A; 26-254; 29-280A; 29-282; 31-299; 5-34; Antarctic Ocean/CONT RISE; Antarctic Ocean/Tasman Sea; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Gulf of Mexico/PLAIN; Indian Ocean//BASIN; Indian Ocean//FAN; Indian Ocean//RIDGE; Indian Ocean/Gulf of Aden/TRENCH; Leg1; Leg22; Leg24; Leg26; Leg29; Leg31; Leg5; North Pacific/Japan Sea; North Pacific/PLAIN
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 40
    Publication Date: 2024-07-01
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. 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, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: application/zip, 19 datasets
    Location Call Number Expected Availability
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  • 41
    Publication Date: 2024-07-01
    Description: We provide high-resolution surface temperature data for a better understanding of the spatial and temporal variability of sea ice surface characteristics in the Arctic winter. Surface temperature images were recorded during helicopter survey flights with the Infrared VarioCAM HD head 680 from InfraTec. The thermal infrared imaging was performed with a down-looking infrared camera installed in a helicopter. This data set includes 35 flights, which were performed, from a local up to a regional scale, during winter 2019/2020 as part of the MOSAiC expedition in the Arctic Ocean. The measurements were done along the transpolar drift from the northern Laptev Sea towards the Fram Strait between 02.10.2019 and 23.04.2020. The usual flight duration was 90 minutes with a flight altitude of about 300 m. The data set includes one file for every flight in all four different data types: (i) a series of images in NetCDF format, (ii) the displayed map in png format, as well as surface temperature maps in (iii) 1 m resolution and (iv) 5 m resolution, both in NetCDF format. The flights can be identified by the event-related Device Operation label or Flight ID. The metadata of the infrared Camera is registered in the AWI Sensor Web at the current Version under https://hdl.handle.net/10013/sensor.0542bbfb-172a-496f-9bce-b21c59cd02c9. Further information can be found in our Data Manual, linked under *Further details*.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; AC3; airborne; Arctic; Arctic Amplification; Arctic Ocean; ArcTrain; HELI; Helicopter; IceSense; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-70; PS122/3_32-71; PS122/3_37-63; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Temperature
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 42
    Publication Date: 2024-07-01
    Description: This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track segments in a custom binary format, for which we provide a python-based parsing tool in awi-als-toolbox (https://github.com/awi-als-toolbox/awi-als-toolbox), together with corresponding metadata json and line-shot quicklook png files. The point cloud data includes as variables: surface elevation (referenced to DTU mean sea surface height), surface reflectance, and echo width. The degraded GPS altitude data 〉85°N may cause undulations in the along-track surface elevations, which are not corrected for in this data product.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; Airborne laser scanning; Arctic; Arctic Ocean; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1_2_45_2019092801; PS122_4_44_27_2020061101; PS122_4_44_65_2020061502; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_45_37_2020063002; PS122_4_46_36_2020070701; PS122_4_46_39_2020070703; PS122_4_46_97_2020071101; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122_4_50_32_2020080601; PS122_4_50_45_2020080701; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-45; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-51; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_32-71; PS122/3_33-17; PS122/3_35-48; PS122/3_35-49; PS122/3_37-63; PS122/3_37-66; PS122/3_39-109; PS122/4; PS122/4_44-27; PS122/4_44-65; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_45-37; PS122/4_46-36; PS122/4_46-39; PS122/4_46-97; PS122/4_47-96; PS122/4_48-69; PS122/4_50-32; PS122/4_50-45; PS122/5; PS122/5_59-139; PS122/5_61-190; PS122/5_61-62; PS122/5_61-63; PS122/5_62-166; PS122/5_62-67; PS122/5_63-118; PS122/5_63-3; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: application/zip, 64 datasets
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  • 43
    Publication Date: 2024-07-01
    Description: This data set is a higher-processing-level version of Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Hutter et al., 2022; doi:10.1594/PANGAEA.950339), where the individual 30-second segments of the small scale grid flights have been combined into merged grids. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (https://hdl.handle.net/10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & https://hdl.handle.net/10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The merged data are stored in netCDF and geotiff format. The data are drift corrected using the position and heading data of RV Polarstern and elevation offset corrected using overlapping segments to overcome degraded GPS altitude data 〉85°N. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate. The merged grids include all data variables of the gridded 30-s segments: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. Also the calculated elevation offset correction term is provided for each flight as a csv file.
    Keywords: 20191002_01; 20191020_01; 20191112_02; 20191119_01; 20191130_01; 20191224_01; 20191225_01; 20191228_01; 20200107_01; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200121_01; 20200123_02; 20200128_01; 20200204_01; 20200212_01; 20200217_02; 20200227_01; 20200321_01; 20200423_01; Airborne laser scanning; Arctic Ocean; Freeboard; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_46_36_2020070701; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122/1; PS122/1_2-167; PS122/1_2-57; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_19-44; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_21-41; PS122/2_21-78; PS122/2_22-16; PS122/2_23-14; PS122/2_24-31; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_35-49; PS122/3_37-63; PS122/3_39-109; PS122/4; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_46-36; PS122/4_47-96; PS122/4_48-69; PS122/5; PS122/5_61-190; PS122/5_61-62; PS122/5_62-166; PS122/5_62-67; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: application/zip, 35 datasets
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  • 44
    Publication Date: 2024-07-01
    Description: Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight, either on a local (MOSAiC central observatory) or regional scale (MOSAiC distributed network). The flights can be identified by two campaign specific IDs (the event-related Device Operation label or Flight ID). The lead classification maps are derived from the surface temperature maps (doi:10.1594/PANGAEA.941017) as described in Thielke et al (in preparation). The 5 m resolution data (based on block averaged surface temperature) are included to provide data with a smaller file size so they are easier accessible and available for the comparison of the effect of different spatial resolutions. The binary lead classification is performed with a temperature threshold. In this data set, in addition to the lead classification maps, also the surface temperature and time-fixed surface temperature maps are included (the same data as included in the temperature maps: doi:10.1594/PANGAEA.941017). This time-fixed surface temperature is necessary to perform the classification and included for direct comparison to the lead classification result. All data are georeferenced, also as relative coordinates to the position of RV Polarstern which allows a Polarstern centered, Lagrangian view on the lead development.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; AC3; Arctic; Arctic Amplification; Arctic Ocean; ArcTrain; HELI; Helicopter; IceSense; leads; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-70; PS122/3_32-71; PS122/3_37-63; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 45
    Publication Date: 2024-07-01
    Description: pH values were obtained using a SBE18 pH sensor (Seabird) mounted on the remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The values were derived from the sensor voltages using the same calibration during the entire expedition.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; pH; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 93 datasets
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  • 46
    Publication Date: 2024-07-01
    Description: Fluorometric data on chlorophyll a concentration, Fluorescent Dissolved Organic Matter (FDOM) concentration, and optical backscatter were measured by a triplet fluorometer (ECO-Puck BBFL2SSC, Wetlabs) attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Data use manufacturer calibration.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 93 datasets
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  • 47
    Publication Date: 2024-07-01
    Description: Attention points as logged by the operators in the recording software Spot.On for remotely operated vehicle (ROV) surveys during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 89 datasets
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  • 48
    Publication Date: 2024-07-01
    Description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
    Keywords: ATMOBS; Atmospheric Observatory; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; OCEANET; Polarstern; PS122/1; PS122/1_1-38; total sky image
    Type: Dataset
    Format: application/zip, 74 datasets
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  • 49
    Publication Date: 2024-07-01
    Description: The distance between a remotely operated vehicle (ROV) and the sea-ice underside was measured by a single-beam upward-looking acoustic sonar altimeter (Tritech PA500) attached to the ROV during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. Sea-ice draft was derived by subtracting the distance to the sea-ice underside from the ROV depth, uncorrected for ROV attitude (pitch, roll). An offset between the depth reference (ROV bumper bars) and the altimeter of 0.105 m is accounted for in the presented data.
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_32-34; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea-ice draft; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 90 datasets
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  • 50
    Publication Date: 2024-07-01
    Description: Water/ice velocity data and instrument status from a Nortek Aquadopp Profiler 2MHz acoustic doppler current profiler (ADCP) attached to a remotely operated vehicle (ROV) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition between November 2019 and September 2020. The Aquadopp System Integrator Manual by Nortek AS can be found here: https://sensor.awi.de/rest/sensors/onlineResources/getOnlineResourcesFile/1764/system-integrator-manual_Mar2016.pdf
    Keywords: ADCP; Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; 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_7-55; 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_37-19; PS122/3_37-20; PS122/3_38-50; PS122/3_38-85; PS122/3_38-91; PS122/3_39-111; PS122/3_39-152; 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_60-5; PS122/5_61-156; PS122/5_61-200; PS122/5_61-35; PS122/5_62-103; PS122/5_62-165; PS122/5_62-65; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 184 datasets
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  • 51
    Publication Date: 2024-07-01
    Description: Analysis of manganese in sediments of the equatorial Pacific.
    Keywords: BC; Box corer; Dredge, bucket; DRG_BU; FFGR; Free-fall grab; Mn-74-01-001-FFG-001; Mn-74-01-001-FFG-002; Mn-74-01-001-FFG-003; Mn-74-01-002-FFG-004; Mn-74-01-002-FFG-006; Mn-74-01-003-FFG-007; Mn-74-01-003-FFG-009; Mn-74-01-005-B2; Mn-74-01-006-FFG-016; Mn-74-01-006-FFG-017; Mn-74-01-006-FFG-018; Mn-74-01-006-FFG-019; Mn-74-01-006-FFG-020; Mn-74-01-006-FFG-021; Mn-74-01-006-FFG-022; Mn-74-01-006-FFG-023; Mn-74-01-006-FFG-025; Mn-74-01-006-FFG-026; Mn-74-01-007-FFG-028; Mn-74-01-007-FFG-029; Mn-74-01-008-FFG-032; Mn-74-01-009-FFG-036; Mn-74-01-010-FFG-037; Mn-74-01-010-FFG-038; Mn-74-01-010-FFG-039; Mn-74-01-010-FFG-042; Mn-74-01 IODE; Mn-74-02-13A-FFG-004; Mn-74-02-13B-D-001; Mn-74-02-13B-FFG-005; Mn-74-02-13B-FFG-007; Mn-74-02-13B-FFG-008; Mn-74-02-13C-D-002; Mn-74-02-13C-D-004; Mn-74-02-13C-FFG-009; Mn-74-02-13C-FFG-011; Mn-74-02-13C-FFG-012; Mn-74-02-15-FFG-021; Mn-74-02-15-FFG-025; Mn-74-02-16-FFG-030; Mn-74-02-16-FFG-037; Mn-74-02 IDOE DOMES; Moana Wave; MW7401; MW7401-01G01; MW7401-01G02; MW7401-01G03; MW7401-02G04; MW7401-02G06; MW7401-03G07; MW7401-03G09; MW7401-05B02; MW7401-06G16; MW7401-06G17; MW7401-06G18; MW7401-06G19; MW7401-06G20; MW7401-06G21; MW7401-06G22; MW7401-06G23; MW7401-06G25; MW7401-06G26; MW7401-07G28; MW7401-07G29; MW7401-08G32; MW7401-09G36; MW7401-10G37; MW7401-10G38; MW7401-10G39; MW7401-10G42; MW7402; MW7402-13D01; MW7402-13D02; MW7402-13D04; MW7402-13G04; MW7402-13G05; MW7402-13G07; MW7402-13G08; MW7402-13G09; MW7402-13G11; MW7402-13G12; MW7402-15G21; MW7402-15G25; MW7402-16G30; MW7402-16G37; MW7402D-SBT1; MW7402D-SBT2; MW7402D-SBT4; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; TRAWL; Trawl net
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 52
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    PANGAEA
    In:  Supplement to: Krishnaswami, Seth (1976): Authigenic transition elements in Pacific pelagic clays. Geochimica et Cosmochimica Acta, 40(4), 425-434, https://doi.org/10.1016/0016-7037(76)90007-7
    Publication Date: 2024-07-01
    Description: The concentrations of Sc, Ti, Fe, Mn, Co, Ni, Cu, La, Th and U have been measured in several Pacific pelagic clays having widely different accumulation rates, 0.4-9.0 mm/103 yr. The authigenic fractions and deposition rates of these elements have been estimated from the measured concentrations using various models. The results show that in Pacific clays about 90% Mn, 80% Co and Ni and 50% Cu are authigenic whereas the major fraction (〉90%) of Sc, Ti, Fe, La, Th and U are of detrital origin. Anticorrelation between the clay accumulation rates and the concentrations of Mn, Co, Ni and Cu is observed. This suggests a uniform authigenic deposition of these elements superimposed on varying amounts of detrital materials. The concentrations of Sc, Ti and Th are almost independent of sedimentation rates, indicating that their authigenic deposition is small compared to their detrital contribution. Comparison of the authigenic deposition and river input rates shows that Mn, Co and Ni are accumulating in excess of their supply by factors of 2-10, whereas the converse is true for Cu and U. Additional sources to account for the budgetary discrepancies of Mn, Co and Ni are discussed, with particular reference to in situ leaching of detrital phases transported to the oceans via rivers.
    Keywords: 2P-50; 2P-52; Argo; ARRH-TF; CARR2_9D; CARROUSEL2; DODO; DODO-009D-1; Dredge; DRG; East Pacific Ocean; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Prospector; Prospector-63; SAN_JUAN_1963; SNJ-DH2; Spencer F. Baird; TRI-02D; TRIP03AR; TRIPOD_3; ZETES; ZTES03AR; ZTES03AR-003D; ZTES-3D
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 53
    Publication Date: 2024-07-01
    Description: Data for Site SU92-18 located off the Azores and collected onboard the French N.O. Le Suroit during the PALEOCINAT II cruise (Paléocirculation de l'Atlantique Nord).
    Keywords: Le Suroît; North Atlantic; PALEOCINAT II; PC; Piston corer; SU92; SU92-18
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 54
    Publication Date: 2024-07-01
    Description: Sponge grounds are hotspots of biomass and biodiversity in the otherwise barren deep sea. It remains unknown how these ecosystems can thrive in such food limited environments, since organic matter settling from the surface ocean covers only small parts of their carbon demand. In this study, the food-web interactions and potential food sources of a North Atlantic deep-sea sponge reef were identified by bulk and compound-specific stable isotope analysis of amino and fatty acids. The elevated bulk δ15N values of sponges with relatively low abundance of associated microbes (LMA) is in line with a position at the top of the benthic food web, while the relatively high δ13C and intermediate δ15N values of high microbial abundance (HMA) sponges suggest considerable reliance on an alternate resource. Trophic positions based on amino acid δ15N values placed HMA sponges at the base of the food web. Fatty acid analysis of δ13C indicated transfer of sponge derived organic matter to the wider food web. Our results show that sponges drive both bottom-up and top-down processes, shunting organic carbon to higher trophic levels that would otherwise be inaccessible to other fauna. In this way, sponges are key to the sustenance of thriving deep-sea ecosystems.
    Keywords: amino acids; B_LANDER; Bottom lander; deep-sea sponge grounds; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; fatty acids; Food web; G. O. Sars (2003); GS16A-202; GS2016109A; GS2016109A-07-LAN-01; GS2017110; GS2017110-17-LAN-04; GS2017110-18-ROV9; GS2017110-19-ROV10; GS2017110-34-ROV-15; GS2017110-38-ROV-16; GS2017110-40-ROV-17; GS2018108; GS2018108-16-ROV-10; GS2018108-18-ROV-11; GS2018108-21-ROV-14; GS2018108-33-ROV-21; GS2018108-35-ROV-23; Remote operated vehicle; ROV; Schultz Bank; SponGES; stable isotope analysis
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 55
    Publication Date: 2024-07-01
    Description: The Indonesian Throughflow (ITF), as the sole low-latitude conduit connecting the Pacific and Indian Oceans, regulates the thermohaline balance between these oceans. Investigating the spatio-temporal variability of the ITF and its relationship to precessional forcing is, thus, crucial for understanding the drivers of tropical climate change. Here, we reconstruct the history of the ITF over the past ~120 kyr, based on high resolution (~400 yr) δ18O and Mg/Ca records of Globigerinoides ruber and Pulleniatina obliquiloculata from Core SO217-18540 retrieved from the Flores Sea upwelling region within the main pathway of the ITF. Comparison of these new records with published paleo-oceanographic and climatological data from the western tropical Pacific suggests that annual mean conditions in the Flores Sea were controlled by the ITF rather than by monsoonal upwelling. Our results further indicate that precessional insolation was a major forcing for the hydrological evolution of the ITF during the past 120 kyr. We suggest that precessional insolation forcing paced ITF variability by modulating the mean state of El Niño-Southern Oscillation-like conditions and latitudinal shifts or expansion/contraction of the Intertropical Convergence Zone.
    Keywords: Cibicidoides wuellerstorfi; Flores Sea; GIK18540-3; Globigerinoides ruber; KL; MAJA; Mg/Ca ratio; Piston corer (BGR type); Pulleniatina obliquiloculata; SO217; SO217_26-3; Sonne; stable oxygen isotope
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 56
    Publication Date: 2024-07-01
    Description: Seamounts represent ideal systems to study the influence and interdependency of environmental gradients at a single geographic location. These topographic features represent a prominent habitat for various forms of life, including microbiota and macrobiota, spanning benthic as well as pelagic organisms. While it is known that seamounts are globally abundant structures, it still remains unclear how and to which extend the complexity of the seafloor is intertwined with the local oceanographic mosaic, biogeochemistry and microbiology of a seamount ecosystem. Along these lines, the present study aimed to explore whether and to which extend seamounts can have an imprint on the microbial community composition of seawater and of sessile benthic invertebrates, sponges. For our high-resolution sampling approach of microbial diversity (16S rRNA gene Amplicon sequencing) along with measurements of inorganic nutrients and other biogeochemical parameters, we focused on the Schulz Bank seamount ecosystem, a sponge ground ecosystem which is located on the Arctic Mid-Ocean Ridge. Seawater samples were collected at two sampling depths (mid-water: MW, and near-bed water: BW) from a total of 19 sampling sites. With a clustering approach we defined microbial micro-habitats within the pelagic realm at Schulz Bank, which were mapped onto the seamount's topography, and related to various environmental parameters (such as suspended particulate matter (SPM), dissolved inorganic carbon (DIC), silicate (SiO4−), phosphate (PO43−), ammonia (NH4+), nitrate (NO32−), nitrite (NO2), depth, and dissolved oxygen (O2)). The results of our study reveal a seamount effect (sensu stricto) on the microbial mid-water pelagic community up to approximately 200 m above the seafloor. Further, we observed a strong spatial heterogeneity in the pelagic microbial landscape across the seamount, with planktonic microbial communities reflecting oscillatory and circulatory water movements, as well as processes of bentho-pelagic coupling. Depth, NO32−, SiO4−, and O2 concentrations differed significantly between the determined pelagic microbial clusters close to the seafloor (BW), suggesting that these parameters were presumably linked to changes in microbial community structures. Secondly, we assessed the associated microbial community compositions of three sponge species along a depth gradient of the seamount. While sponge-associated microbial communities were found to be mainly species-specific, we also detected significant intra-specific differences between individuals, depending on the pelagic near-bed cluster they originated from. The variable microbial phyla (i.e. phyla which showed significant differences across varying depth, NO32−, SiO4−, O2 concentrations and different from local seawater communities) were distinct for every sponge-species when considering average abundances per species. Variable microbial phyla included representatives of both, those taxa traditionally counted to the variable community fraction, as well as taxa counted traditionally to the core community fraction. Microbial co-occurrence patterns for the three examined sponge species Geodia hentscheli (demosponge, HMA), Lissodendoryx complicata (demosponge, most likely LMA), and Schaudinnia rosea (Hexactinellida, most likely LMA) were distinct from each other. Over all, this study shows that topographic structures such as the Schulz Bank seamount can have an imprint (seamount effect sensu lato) on both, the microbial community composition of seawater and of sessile benthic invertebrates such as sponges by an interplay between the geology, physical oceanography, biogeochemistry and microbiology of seamounts.
    Keywords: amplicon sequencing; Arctic Mid-Ocean Ridge; bentho-pelagic coupling; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Environmental gradients; inorganic nutrients; microbial diversity; Seamount; seamount effect; sponge grounds; SponGES
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 57
    Publication Date: 2024-07-01
    Description: A helium filled tethered balloon was operated from an ice floe next to RV Polarstern during leg 1 to 3 of the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition. The balloon was operated with modular instrumentation. This is a dataset of the hot-wire anemometer package providing turbulence measurements on 34 days between 2019-12-06 and 2020-05-06 (during polar night and spring). The dataset includes vertical profiles of wind turbulence measurements up to typically around 600 m (~200 m to ~1400 m). In addition to the hot-wire anemometer package, a meteorological tethersonde was operated that served as a reference. For processing and calibration details see Akansu et al. (in preparation). All vertical profiles and its respective calibration references are summarized in an overview table. Error-prone temperature data is flagged.
    Keywords: ABL; AC3; Arctic; Arctic Amplification; Arctic Ocean; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; polar night; Polarstern; PS122/1; PS122/1_10-90; PS122/1_10-91; PS122/1_10-92; PS122/1_11-34; PS122/1_11-47; PS122/2; PS122/2_17-106; PS122/2_17-107; PS122/2_17-13; PS122/2_17-15; PS122/2_17-96; PS122/2_18-98; PS122/2_18-99; PS122/2_19-14; PS122/2_19-26; PS122/2_19-54; PS122/2_21-119; PS122/2_21-120; PS122/2_21-121; PS122/2_21-62; PS122/2_23-59; PS122/2_24-76; PS122/2_24-77; PS122/3; PS122/3_30-48; PS122/3_32-84; PS122/3_32-86; PS122/3_33-13; PS122/3_33-31; PS122/3_33-34; PS122/3_34-10; PS122/3_35-16; PS122/3_35-33; PS122/3_35-34; PS122/3_35-87; PS122/3_36-101; PS122/3_37-110; PS122/3_37-127; PS122/3_37-65; PS122/3_37-85; PS122/3_37-86; PS122/3_38-17; PS122/3_38-74; PS122/3_38-75; PS122/3_39-25; PS122/3_39-26; PS122/3_39-5; PS122/3_39-6; PS122/3_39-66; PS122/3_39-67; TBALLOON; Tethered balloon; turbulence; vertical profiles
    Type: Dataset
    Format: application/zip, 89 datasets
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  • 58
    Publication Date: 2024-07-01
    Description: Total (snow+ice) thickness measurements obtained during the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign using the helicopters on board the research vessels Polarstern and Akademik Fedorov. The data was gathered during 14 flights between October 2019 and July 2020 in the Transpolar Drift on spatial scales up to 80 km distance from the position of the ships. Version 1.0. For details for the processing, please see Henricks & Rohde (2020), Haas et al. (2009) and von Albedyll et al. (2021).
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_5; Akademik Fedorov; Arctic Ocean; EM; HELI; Helicopter; IceSense; Mosaic; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_44_127_2020062101; PS122_4_44_128_2020062102; PS122_4_44_130_2020062201; PS122_4_44_95_2020061901; PS122_4_45_38_2020063003; PS122_4_45_54_2020070101; PS122_4_46_40_2020070704; PS122/1_3-5; PS122/3; PS122/3_34-93; PS122/3_34-94; PS122/3_35-91; PS122/3_36-156; PS122/3_37-137; PS122/3_38-112; PS122/4; PS122/4_44-127; PS122/4_44-128; PS122/4_44-130; PS122/4_44-95; PS122/4_45-38; PS122/4_45-54; PS122/4_46-40; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice thickness
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 59
    Publication Date: 2024-07-01
    Description: We provide high-resolution surface temperature data for a better understanding of the spatial and temporal variability of sea ice surface characteristics in the Arctic winter. Surface temperature images were recorded during helicopter survey flights with the Infrared VarioCAM HD head 680 from InfraTec. The thermal infrared imaging was performed with a down-looking infrared camera installed in a helicopter. This data set includes 35 flights, which were performed, from a local up to a regional scale, during winter 2019/2020 as part of the MOSAiC expedition in the Arctic Ocean. The measurements were done along the transpolar drift from the northern Laptev Sea towards the Fram Strait between 02.10.2019 and 23.04.2020. The usual flight duration was 90 minutes with a flight altitude of about 300 m. The data set includes one file for every flight in all four different data types: (i) a series of images in NetCDF format, (ii) the displayed map in png format, as well as surface temperature maps in (iii) 1 m resolution and (iv) 5 m resolution, both in NetCDF format. The flights can be identified by the event-related Device Operation label or Flight ID. The metadata of the infrared Camera is registered in the AWI Sensor Web at the current Version under https://hdl.handle.net/10013/sensor.0542bbfb-172a-496f-9bce-b21c59cd02c9. Further information can be found in our Data Manual, linked under *Further details*.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; AC3; airborne; Arctic; Arctic Amplification; Arctic Ocean; ArcTrain; HELI; Helicopter; IceSense; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-70; PS122/3_32-71; PS122/3_37-63; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 60
    Publication Date: 2024-07-01
    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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  • 61
    Publication Date: 2024-07-01
    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
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  • 62
    Publication Date: 2024-07-01
    Description: This dataset contains the seasonal composition of intact phospholipids as well as of free fatty acids from the digestive system of Antarctic krill, Euphausia superba. Krill was caught with a continuous krill pumping system in May of 2021 in the Bransfield Strait and in January and March of 2022 at the South Orkney Islands. The stomach, digestive gland and hind gut were dissected and analysed individually. Samples were extracted with an optimized Bligh&Dyer protocol. Intact phospholipids were measured with liquid chromatography - high-resolution mass spectrometry on an Orbitrap mass spectrometer. Identification of intact phospholipids was based on characteristic fragments of the head group in MS2 experiments in positive electrospray ionization mode, while the fatty acid composition of intact phospholipids were determined by characteristic fragments occurring during MS2 measurements with negative electrospray ionization. Free fatty acids from the total lipid extract were measured as methyl esters were via gas chromatography - mass spectrometry and identified with standards and based on their retention order.
    Keywords: Antarctic krill; Antarctic Peninsula; Euphausia superba; fatty acids; Intact phospholipids; liquid chromatography high-resolution mass spectrometry; Phosphatidylcholine; Phosphatidylethanolamine; Southern Ocean; Very long chain polyunsaturated fatty acids
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 63
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC16 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 7 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 7 November 2019 and 27 April 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in deformed second-year ice next to the HSVA stress panels close to RV Polarstern.
    Keywords: Arctic Ocean; autonomous platform; buoy; CTC16; Digital thermistor chain; DTC; DTC16; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-119; PS122/2; PS122/2_14-101; PS122/4; PS122/4_47-151; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 64
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC11 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 20 November 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 20 November 2019 and 10 June 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the first-year ice ridge next to RV Polarstern and remote sensing site RS1. Ice mass balance SIMBA 2020T79 was installed at Met City close to remote sensing site RS1: doi:10.1594/PANGAEA.940712.
    Keywords: Arctic Ocean; autonomous platform; buoy; Digital thermistor chain; DTC; DTC11; Ice mass balance; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_1-112; PS122/4; PS122/4_48-81; Temperature
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 65
    Publication Date: 2024-07-01
    Description: We investigated seawater microbial abundance, activity and diversity in a site strongly influenced by submarine groundwater discharge (SGD). We combined in-situ observations and laboratory-controlled bottle incubations mimicking different mixing scenarios between SGD (either ambient or filtered through 0.1 µm/0.22 µm) and seawater. Three sampling campaigns (August 2020, February 2021 and July 2021) were conducted at a field site, highly influenced by SGD (Achziv, northern Israel), which we recently compared to a reference site (Shikmona) at the oligotrophic Israeli shallow rocky coast. Each field campaign lasted 2-5 days and covered at least 2 tidal cycles. Porewater samples were collected on the shoreline using piezometers (AMS piezometers that reach depths of 〈2 meters) and a portable peristaltic pump. The density (g cm-3), electric conductivity (mS/cm), temperature (°C) and pH, of surface seawater, porewater and groundwater were measured on-site at the time of the sampling. Samples for microbial analysis were collected from the piezometers and divided to aliquots: 1. For community analysis, samples were immediately filtered through polycarbonate 0.2 μm pore size filters, which were kept on ice and transported to the laboratory on the same day. Filter samples were stored frozen (-20°C) until DNA extraction (filtered porewater were kept for dissolved nutrient measurements. After thawing, each filter was cut into small pieces using a sterile scalpel blade, which was placed immediately into PowerSoil DNA bead tubes and extracted with the dNeasy PowerSoil Kit (Qiagen, USA) following the standard protocol. To generate 16S rRNA gene libraries, the V3–V4 hypervariable region of the 16S gene was amplified and sequenced on the Illumina MiSeq platform. Quality-filtered reads were imported into QIIME 2 platform, denoised, dereplicated, clustered and trimmed using the DADA2 plugin. Taxonomic assignment of the ASVs was achieved against the Silva database. The ASV table is provided under "additional metadata". Raw data from Illumina MiSeq sequencing are deposited to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject number PRJNA973031 (will be available upon publication). 2. For Pico-/nano-phytoplankton and heterotrophic prokaryotic abundance, non-filtered samples were chilled on ice and transported to the laboratory on the same day. Samples (1.8 mL) were fixed with glutaraldehyde (final concentration 0.02 % v:v, Sigma-Aldrich 253 G7651), frozen in liquid nitrogen, and later stored at −80°C until analysis. The abundance of autotrophic pico- and nano-eukaryotes, Synechococcus and Prochlorococcus, and other heterotrophic prokaryotes (bacteria and archaea) was determined using an Attune® Acoustic Focusing Flow Cytometer (Applied Biosystems) equipped with a syringe based fluidic system and 488 and 405 nm lasers. To measure heterotrophic prokaryote abundance, a sample aliquot was stained with SYBR Green (Applied Biosystems). 3. Prokaryotic (bacteria and archaea) heterotrophic production was estimated using the 3H-leucine incorporation method. Photosynthetic carbon fixation rates were estimated using the 14C incorporation method.
    Keywords: autotrophic organisms; coastal ecosystem; Heterotrophic prokaryotes; microbial community; Submarine groundwater discharge; subterranean estuary
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 66
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: MacDougall, J Douglas (1977): Uranium in marine basalts: Concentration, distribution and implications. Earth and Planetary Science Letters, 35(1), 65-70, https://doi.org/10.1016/0012-821X(77)90029-2
    Publication Date: 2024-07-01
    Description: The uranium content of glass from chilled margins of oceanic tholeiitic basalt flows is generally 〈0.1 ppm, even for old samples with highly altered crystalline interiors. Such low values represent the original whole rock concentrations, although subsequent to eruption low-temperature weathering has added uranium, and other elements, to the crystalline portions of these basalts. Consideration of the K/U ratios of altered samples suggests that basalt weathering may provide the major oceanic sink for these two elements.
    Keywords: 16-163; 18-177A; 2-10; 22-211; 22-213; 22-215; 23-220; 24-231; 24-236; 24-238; 25-240; 34-319; 34-320; 5-32; 5-36; 5-37; 5-39; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Indian Ocean//BASIN; Indian Ocean//FRACTURE ZONE; Indian Ocean/Arabian Sea/HILL; Indian Ocean/Gulf of Aden/BASIN; Leg16; Leg18; Leg2; Leg22; Leg23; Leg24; Leg25; Leg34; Leg5; North Atlantic/CONT RISE; North Pacific/CONT RISE; North Pacific/HILL; North Pacific/PLAIN; North Pacific/RIDGE; South Pacific/BASIN
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 67
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Leinen, Margaret W; Stakes, Debra S (1979): Metal accumulation rates in the central equatorial Pacific during Cenozoic time. Geological Society of America Bulletin, 90(4), 357-375, https://doi.org/10.1130/0016-7606(1979)90%3C357:MARITC%3E2.0.CO;2
    Publication Date: 2024-07-01
    Description: Accumulation rates of Mg, Al, Si, Mn, Fe, Ni, Cu, Zn, opal, and calcium carbonate have been calculated from their concentrations in samples from equatorial Deep Sea Drilling Project sites. Maps of element accumulation rates and of Q-mode factors derived from raw data indicate that the flux of trace metals to equatorial Pacific sediments has varied markedly through time and space in response to changes in the relative and absolute influence of several depositional influences: biogenic, detrital, authigenic, and hydrothermal sedimentation. Biologically derived material dominates the sediment of the equatorial Pacific. The distributions of Cu and Zn are most influenced by surface-water biological activity, but Ni, Al, Fe, and Mn are also incorporated into biological material. All of these elements have equatorial accumulation maxima similar to those of opal and calcium carbonate at times during the past 50 m.y. Detritus distributed by trade winds and equatorial surface circulation contributes Al, non-biogenic Si, Fe, and Mg to the region. Detrital sediment is most important in areas with a small supply of biogenic debris and low bulk-accumulation rates. Al accumulation generally increases toward the north and east, indicating its continental source and distribution by the northeast trade winds. Maxima in biological productivity during middle Eocene and latest Miocene to early Pliocene time and concomitant well-developed surface circulation contributed toward temporal maxima in the accumulation rates of Cu, Zn, Ni, and Al in sediments of those ages. Authigenic material is also important only where bulk-sediment accumulation rates are low. Ni, Cu, Zn, and sometimes Mn are associated with this sediment. Fe is almost entirely of hydrothermal origin. Mn is primarily hydrothermal, but some is probably scavenged from sea water by amorphous iron hydroxide floes along with other elements concentrated in hydrothermal sediments, Ni, Cu, and Zn. During the past 50 m.y. all of these elements accumulated over the East Pacific Rise at rates nearly an order of magnitude higher than those at non-rise-crest sites. In addition, factor analysis indicates that some of this material is carried substantial distances to the west of the rise crest. Accumulation rates of Fe in basal metalliferous sediments indicate that the hydrothermal activity that supplied amorphous Fe oxides to the East Pacific Rise areas was most intense during middle Eocene and late Miocene to early Pliocene time.
    Keywords: 16-159; 16-160; 16-161; 16-162; 16-163; 5-42; 8-69; 8-70; 8-71; 8-72; 8-73; 8-74; 8-75; 9-77; 9-78; 9-79; 9-80; 9-81; 9-82; 9-83; Deep Sea Drilling Project; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg16; Leg5; Leg8; Leg9; North Pacific; North Pacific/BASIN; North Pacific/CONT RISE; North Pacific/HILL; North Pacific/PLAIN; North Pacific/VALLEY; South Pacific; South Pacific/BASIN; South Pacific/CONT RISE; South Pacific/VALLEY
    Type: Dataset
    Format: application/zip, 41 datasets
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  • 68
    Publication Date: 2024-07-01
    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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  • 69
    Publication Date: 2024-07-01
    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 CTDs were recording 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 10-minute buoy data and 2-minute CTD data were co-processed and merged into a combined product. A buoy flag indicates whether a measurement was taken by the buoy (1) or was recorded by the CTD itself (0). The data were quality controlled by means of outlier detection using global limits, moving average filters and manual inspection. The dataset was carefully checked for inconsistencies, especially in the salinity. A (slightly modified) quality flagging scheme was applied according to the Ocean Data Standards Volume 3 (UNESCO 2013), where 1 = Good, 2 = Good (Modified), 3 = Questionable, 4 = Bad, 9 = no data. Finally, the data were validated against independent measurements. Details are available in the data paper indicted 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; mesoscale eddy; 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; oceanographic time series; 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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  • 70
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T47 (a.k.a. FMI_04_06, IRIDIUM number 300234064817930) 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 a P site with initial thicknesses of snow and ice of 0.10 and 0.34 m, respectively, on 13 October 2019. The thermistor chain was 5 m long and included 240 sensors with a regular spacing of 2 cm. The depths for the sensors are 78 to -400 cm, referring to the initial interface between snow and ice. 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 13 October 2019 and 8 February 2020 in sample intervals of 6 hours for temperature and 24 hours for temperature differences. In addition to temperature, geographic position were measured.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_182; Akademik Fedorov; Arctic Ocean; Heating rise; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-285; 2019T47; FMI04-06; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 71
    Publication Date: 2024-07-01
    Description: Vertical profiles of water temperature, pressure and salinity were measured by the Drift Towing Ocean Profiler (DTOP) buoy 2020, an autonomous platform, installed on drifting sea ice ( ice thickness: 165cm; snow depth: 2cm; freeboard: 12cm) in the Arctic Ocean during Chinese Arctic Research Expedition 2020. The resulting time series describes the vertical profile of the ocean below the sea ice as a function of place and time between 19 August 2020 and 15 September 2022 in sample intervals of 12 hours. In addition, the DTOP measured air temperature, relative humidity and barometric pressure and GPS position at hourly intervals.
    Keywords: autonomous platform; buoy; Buoy, Drift Towing Ocean Profiler; CHINARE_12; drift; drifter; DTOP; DTOP2020; ocean profiles; Salinity; Temperature; Xue Long 2
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 72
    Publication Date: 2024-07-01
    Description: The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund from July 2022 to December 2023. For further details on the VISSS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; In-situ; Ny-Ålesund; snowfall; snowflake
    Type: Dataset
    Format: application/zip, 523 datasets
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  • 73
    Publication Date: 2024-07-01
    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
    Location Call Number Expected Availability
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  • 74
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T63 (a.k.a. PRIC_09_02, IRIDIUM number 300234068709320) 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 L2 site with initial thicknesses of snow and ice of 0.12 and 1.12 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 56 to -422 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 27 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: AF-MOSAiC-1; AF-MOSAiC-1_90; Akademik Fedorov; Arctic Ocean; distributed network; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-224, 2019T63, PRIC_09_02; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 75
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T72 (a.k.a. FMI_06_05, IRIDIUM number 300234068700290) 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 M5 site with initial thicknesses of snow and ice of 0.14 and 1.00 m, respectively, on 9 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 60 to -418 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 9 October 2019 and 27 April 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: AF-MOSAiC-1; AF-MOSAiC-1_118; Akademik Fedorov; Arctic Ocean; distributed network; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS122/1_1-175, 2019T72, FMI_06_05; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 76
    Publication Date: 2024-07-01
    Description: Temperature and heating-induced temperature differences were measured along a chain of thermistors. SIMBA 2019T70 (a.k.a. FMI_06_03, IRIDIUM number 300234068705280) 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 L3 site with initial thicknesses of snow and ice of 0.06 and 0.48 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 70 to -408 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 5 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: 2019T70; AF-MOSAiC-1; AF-MOSAiC-1_99; Akademik Fedorov; Arctic Ocean; distributed deformation; Heating rising; INTAROS; Integrated Arctic observation system; MOSAiC; MOSAiC20192020; MOSAiC20192020, AF122/1; MOSAiC-ICE; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1_1-173, 2019T70, FMI_06_03; PS122/4; PS122/4_43-174; SAMS Ice Mass Balance buoy; Sea ice mass balance; SIMBA; snow; Temperature
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 77
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Batiza, Rodey; Rosendahl, Bruce R; Fisher, Robert L (1977): Evolution of oceanic crust: 3. Petrology and chemistry of basalts from the East Pacific Rise and the Siqueiros Transform Fault. Journal of Geophysical Research, 82(2), 265-276, https://doi.org/10.1029/JB082i002p00265
    Publication Date: 2024-07-01
    Description: Basalt samples obtained from the Siqueiros transform fault/fracture zone and the adjacent East Pacific Rise are mostly very fresh oceanic tholeiite and fractionated oceanic tholeiite with Fe+3/ Fe+2 ? 0.25; however, alkali basalts occur in the area as well. The rocks of the tholeiitic suite are ol + pl phyric and ol + pl + cpx phyric basalts, while the alkali basalts are ol and ol + pl phyric. Microprobe analyses of the tholeiitic suite phenocrysts indicate that they are Fo68-Fo86, An58-An75, and augite (Ca34Mg50Fe16). The range of olivine and plagioclase compositions represents the chemical variation of the phenocryst compositions with fractionation. The phenocyrsts in the alkali basalts are Fo81 and An69. The suite of tholeiites comprises a fractionation series characterized by relative enrichment of Fe, Ti, Mn, V, Na, K, and P and depletion of Ca, Al, Mg, Ni, and Cr. The fractionated tholeiites occur on the median ridge (which is a sliver of normal oceanic crust) of the double Siqueiros transform fault, on the western Siqueiros fracture zone, and on the adjoining East Pacific Rise, while the two transform fault troughs contain mostly unfractionated or only slightly fractionated tholeiite. We suggest that the fractionated tholeiites are produced by fractional crystallization of more 'primitive' tholeiitic liquid in a crustal magma chamber below the crest of the East Pacific Rise. This magma chamber may be disrupted by the transform fault troughs, thus explaining the paucity of fractionated tholeiites in the troughs. The alkali basalts are found only on the flanks of a topographic high near the intersection of the northern transform trough with the East Pacific Rise.
    Keywords: Deposit type; DEPTH, sediment/rock; Description; Dredge; DRG; Event label; Identification; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Position; QBR-17D; QBR-19D; Quantity of deposit; QUEBRADA; SIQR-2D; SIQR-3D; SIQR-4D; SIQUEIROS; Substrate type; Thomas Washington; Uniform resource locator/link to image; Visual description
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 78
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: MacDougall, J Douglas (1979): The distribution of total alpha radioactivity in selected manganese nodules from the North Pacific: implications for growth processes. In: Bischoff, J.L., Piper, D.Z. (Eds.), Marine Geology and Oceanography of the Pacific Manganese Nodule Province, Marine Science. Plenum Publishing Corporation, New York, U.S.A., 775-790, https://doi.org/10.1007/978-1-4684-3518-4_25
    Publication Date: 2024-07-01
    Description: Analyses of the total alpha radioactivity distribution in 31 North Pacific manganese nodules yield an average growth rate of 6.8 ( 2) mm /m.y. Samples from a single box core show almost identical total activity vs. depth profiles, regardless of nodule size or shape. A characteristic feature of many nodules examined is an apparent change (steepening) in slope of the alpha activity profile between depths of 0.5-1.5 mm. This feature may reflect a fundamental feature of nodule growth, possibly mobility of 230Th or its daughters in a regular way, interrupted growth, or nodule turnover. Near-surface decreases in total alpha activity probably result from 226Ra loss.
    Keywords: Agassiz; Argo; BC; Box corer; Core; CORE; Deposit type; DEPTH, sediment/rock; DNWB0ABD; DOMES Site C, Pacific Ocean; DOWNWIND-B1; Dredge; Dredge, bucket; DRG; DRG_BU; DSV-53P-8; DWBD1; Elevation of event; Event label; EXPL60-14D; EXPL60-4; Explorer; FFGR; Free-fall grab; GC; Grab; GRAB; Gravity corer; Growth rate; Growth rate, standard deviation; Horizon; Identification; Latitude of event; Longitude of event; MDPC01HO-005-02; MDPC01HO-016-01; Melville; Method/Device of event; MIDPAC; Mn-74-02-13B-D-001; Mn-74-02-13B-FFG-008; Mn-74-02-16-FFG-037; Mn-74-02 IDOE DOMES; MN76-01, Pleiades; Moana Wave; MONS01AR-MONS08AR; MONS08AR-150G; MONSOON; MPC-16-1; MPC-5-2; MSN-150G; MW7402; MW7402-13D01; MW7402-13G08; MW7402-16G37; NEL-14; NEL-4; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Oceanographer; Pacific Ocean; Photo/Video; PLDS04MV-109BX; PLDS-4; PV; RISEPAC; RISP-4PG; RP6OC75; RP6OC75-25-51; Sample code/label; SCR-MN-61; SCR-MN-68; SCR-MN-70; SCR-MR-55; SCR-MR-A17875; Seascope Expedition; Seattle-Norfolk_1960; Size; Spencer F. Baird; SS72/5; SS72-111DB; STYX_II; STYX02AZ; STYXII-48FF; TC; TRAWL; Trawl net; Trigger corer; Vityaz (ex-Mars); Vityaz-29; VITYAZ4221-TR
    Type: Dataset
    Format: text/tab-separated-values, 164 data points
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  • 79
    Publication Date: 2024-07-01
    Keywords: Antimony; Argo; Barium; Cadmium; Calcium; Chromium; Cobalt; Copper; DEEPSONDE; Deposit type; DEPTH, sediment/rock; Description; DPSN02-D4; Dredge; DRG; East Pacific Ocean; Europium; Event label; Hafnium; Identification; INDP; INDP-4D; INDP-6D; Iron; Lanthanum; Lead; Manganese; Molybdenum; Nickel; NOAA and MMS Marine Minerals Geochemical Database; NOAA-MMS; Pacific Ocean; Samarium; Scandium; Shape; SIQR-4D; SIQUEIROS; Size; Sodium; Terbium; Thallium; Thomas Washington; Thorium; Titanium; TRI-02D; TRI-03D; TRI-04D; TRIP03AR; TRIPOD_3; Uranium; Vanadium; X-ray emission spectroscopy (XES); Zinc
    Type: Dataset
    Format: text/tab-separated-values, 362 data points
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  • 80
    Publication Date: 2024-07-01
    Description: During the legs PS106 and PS107 of the RV Polarstern, a Fourier-Transform Infrared (FTIR) spectrometer was used to measure radiation emitted by clouds. Spectra were recorded between 700 cm^-1 (14.29 micrometer) and 1200 cm^-1 (8.33 micrometer). From these spectra, the cloud optical depths and the effective droplet radii were retrieved and the liquid water path (LWP), ice water path (IWP) and the condensed water path (CWP=IWP+LWP) calculated. The errors of the cloud optical depths and the effective droplet radii are the standard deviations of the retrieval, from which the errors of LWP, IWP and CWP were calculated. The averaging kernel matrices describe the sensitivity of the retrieval to the parameters. Cloud base heights were taken from the Polarstern ceilometer CL51. See also: Ceilometer CL51 raw data: https://doi.pangaea.de/10.1594/PANGAEA.883320 https://doi.pangaea.de/10.1594/PANGAEA.883322 https://doi.pangaea.de/10.1594/PANGAEA.883323
    Keywords: AC3; Arctic; Arctic Amplification; ARK-XXXI/1.1,PASCAL; ARK-XXXI/1.2; ARK-XXXI/2; clouds; Event label; File format; File name; File size; Fourier Transform Infrared Radiometer; FTIR; Polarstern; PS106_0_Underway-13; PS106/1; PS106/2; PS106/2_0_Underway-1; PS107; PS107_0_underway-16; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 81
    Publication Date: 2024-07-01
    Description: A set of multichannel seismic reflection lines across the southeastern Lomonosov Ridge and adjacent basins was collected in 2014 during RV Polarstern cruise ARK XXVIII/3 (PS87). The data provide constraints on the coupled evolution of ocean circulations, deposition regime and regional tectonic processes. The survey set-up for most lines comprised a streamer of 3000 m length (240 channels), and a 24-liter G-gun array. Shots were fired every 15 s resulting into a shot point spacing of 35-40 m. Data were recorded for 12 s at a sample rate of 1 ms. The seismic data processing comprised sorting in a CDP interval of 25 m (= max. fold 145), and velocity analysis (every 100 CDP = 2.5 km). Interval velocities for the seismic units are adopted from the stacking velocities. After the removal of noisy traces and spherical divergence correction the traces were stacked and migrated with a finite-difference time-migration. For a successful suppression of sea floor multiple an f-k filter was applied. In general, the data were filtered with a band pass of 10 - 90 Hz, and an automatic gain control with a gate length of 1000 ms was applied. The dominant frequency of the seismic signals is about 35 Hz, which enables a maximum vertical resolution of about 11-18 m across the sedimentary units. A marked low-frequency reflector with reversed polarity parallels the sea floor at shallow water depths of 190 ms TWT (150 m). The signal turned out to be an arctefact, and in some parts the amplitude strength was succesfully attenuated by a designature filter. The presented data-set provides migrated seismic reflection seismic lines in segy-format.
    Keywords: Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_GeoPhy; File format; File name; File size; Lomonosov Ridge; Marine Geophysics @ AWI; Polarstern; PS87; PS87_Lomonosov_Ridge; reflection seismics; SEGY-format; Seismic reflection profile; SEISREFL; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 82
    Publication Date: 2024-07-01
    Description: Swath sonar bathymetry data used for that dataset was recorded during RV METEOR cruise M79/2 using Kongsberg EM 120 multibeam echosounder. The cruise took place between 26.08.2009 and 21.09.2009 in the northeastern Atlantic. The main objectives of the cruise were the analysis of the structure, dynamic and natural hazard potential of the Atlantic section of the European-African plate boundary in the area of the eastern Azores (São Miguel region) and Gloria Fault. The measurements included marine geophysical experiments like refraction and reflection seismics, potential field recordings (gravity & magnetics), parametric sediment subbottom profiling and multibeam bathymetry [DOI:10.2312/cr_m79_2]. CI Citation: Paul Wintersteller (seafloor-imaging@marum.de) as responsible party for bathymetry raw data ingest and approval. Description of the data source: During the M79/2 cruise, the hull-mounted KONGSBERG EM120 multibeam ecosounder (MBES) was utilized to perform bathymetric mapping in middle to deep water depths. Two linear transducer arrays in a Mills Cross configuration transmit acoustic signals of a nominal sonar frequency of 12 kHz. With 191 beams, the emission cone has a dimension of max. 140° across track and 1° along track. With a reception obtained from 288 beams, the actual beam footprint is 1° by 2°. Depending on the roughness of the seafloor, the swath width on a flat bottom is generally maximum six times the water depth. For further information on the system, consult https://www.km.kongsberg.com/. Responsible person during this cruise / PI: Luis Batista. Description of data processing: Postprocessing and products were conducted by the Seafloor-Imaging & Mapping group of MARUM/FB5, responsible person Paul Wintersteller (seafloor-imaging@marum.de). The open source software MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, https://www.mbari.org/products/research-software/mb-system, 2017) was utilized for this purpose. . SVPs taken during this cruise were not sufficient enough to correct the recorded bathymetric data. Therefor sound velocity profiles were modelled using reference profiles from the world ocean atlas (S. Levitus, 1982), extracted and calculated through the MB-System program mblevitus by utilizing the DelGrosso equation. The surface sound speed has then been adapted according to the recordings during this cruise while there were no further corrections for roll, pitch and heave applied during postprocessing. A tide correction was applied, based on the Oregon State University (OSU) tidal prediction software (OTPS) that is retrievable through MB-System. CTD measurements during the cruise were sufficient to represent the changes in the sound velocity throughout the study area. Using Mbeditviz, artefacts were cleaned manually. NetCDF (GMT) grids of the edited data as well as statistics were created with mbgrid. The published bathymetric EM120 grid of the cruise M79/2 has a resolution of 35 m. No total propagated uncertainty (TPU) has been calculated to gather vertical or horizontal accuracy. A higher resolution is, at least partly, achievable. The grid extended with _num represents a raster dataset with the statistical number of beams/depths taken into account to create the depth of the cell. The extended _sd -grid contains the standard deviation for each cell. The DTMs projections are given in Geographic coordinate system Lat/Lon; Geodetic Datum: WGS84. All grids produced are retrievable through the PANGAEA database (www.pangaea.de). Chief Scientist: Christian Hübscher christian.huebscher@uni-hamburg.de CR: https://www.tib.eu/de/suchen/id/awi%3Adoi~10.2312%252Fcr_m79_2/ CSR: https://epic.awi.de/id/eprint/37063/31/m79-expeditionsheft.pdf
    Keywords: Azores; Bathymetry; CT; eastern Azores and Gloria Fault; File format; File name; File size; geophysics; M79/2; M79/2-track; Meteor (1986); Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 83
    Publication Date: 2024-07-01
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. The volatility and hygroscopicity of nascent SSA was determined with a volatility and hygroscopicity tandem differential mobility analyser (VH-TDMA) (Johnson et al., 2004: doi:10.1016/j.jaerosci.2003.10.008, 2008: doi:10.1016/j.jaerosci.2008.05.005). A diffusion drier was used to dry the sample flow to 20 ± 5 % RH prior to characterisation by the VH-TDMA. The VH-TDMA used two TSI 3010 condensation particle counters. The aerosol sample flow rate for each scanning mobility particle sizer was 1 L/min, resulting in a total inlet flow of 2 L/min, the sheath flow for the pre-DMA, V-DMA and H-DMA were 11, 6 and 6 L/min, respectively. The dependence of HGF on RH at ambient temperature was measured for one water sample (workboat 9) to provide the deliquescence relative humidity (DRH). All VH-TDMA data were inverted using the TDMAinv algorithm (Gysel et al., 2009: doi:10.1016/j.jaerosci.2008.07.013). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; ccn; Chatham Rise; DATE/TIME; Depth, description; FTIR; functional groups; Humidity, relative; Humidity, relative, maximum; Humidity, relative, minimum; Hygroscopic growth factor; Hygroscopic growth factor, raw counts; hygroscopicity; IBA; ion beam; Particle, geometric median diameter; PTFE bottle, 5L; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; Temperature, water; volatility; Volatility-Hygroscopicity Tandem Differential Mobility Analyser (VH-TDMA); WB9
    Type: Dataset
    Format: text/tab-separated-values, 42292 data points
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  • 84
    Publication Date: 2024-07-01
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. Filters were collected for compositional analysis using transmission Fourier Transform Infra Red (FTIR) and Ion Beam analysis (IBA). The nascent SSA was sampled through a 1 μm sharp cut cyclone (SCC 2.229PM1, BGI Inc., Waltham, Massachusetts) and collected on Teflon filters, with the sample confined to deposit on a 10 mm circular area. Back filter blanks were used to characterise the contamination during handling, and before analysis samples were dehydrated to remove all water, including SSA hydrates, as described in (Frossard and Russell, 2012: doi:10.1021/es3032083). FTIR measurements were carried out according to previous marine sampling techniques (Maria et al., 2003: doi:10.1029/2003jd003703; Russell et al., 2010: doi:10.1073/pnas.0908905107). Filter blanks were under the detection limit for the FTIR. The PM1 organic mass fraction from SSA samples collected on filters was computed from the total organic mass from FTIR analysis and the inorganic mass from ion beam analysis, as in (Cravigan et al., 2019: doi:10.5194/acp-2019-797). The uncertainty in the organic mass measured using FTIR is up to 20 % (Maria et al., 2003: doi:10.1029/2003jd003703; Russell et al., 2010: doi:10.1073/pnas.0908905107). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: Acid functional groups per total organic mass fraction; aerosols; Alcohol functional groups per total organic mass fraction; Alkane functional groups per total organic mass fraction; Amine functional groups per total organic mass fraction; Carbonyl functional groups per total organic mass fraction; ccn; Chatham Rise; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; Fourier transform infrared spectroscopy (FTIR); FTIR; functional groups; hygroscopicity; IBA; ion beam; Latitude of event; Longitude of event; Organic mass, total; Organic mass fraction; PTFE bottle, 5L; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 85
    Publication Date: 2024-07-01
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. The volatility and hygroscopicity of nascent SSA was determined with a volatility and hygroscopicity tandem differential mobility analyser (VH-TDMA) (Johnson et al., 2004: doi:10.1016/j.jaerosci.2003.10.008, 2008: doi:10.1016/j.jaerosci.2008.05.005). A diffusion drier was used to dry the sample flow to 20 ± 5 % RH prior to characterisation by the VH-TDMA. The VH-TDMA was also used to calculate the organic volume fraction (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). The VH-TDMA used two TSI 3010 condensation particle counters. The aerosol sample flow rate for each scanning mobility particle sizer was 1 L/min, resulting in a total inlet flow of 2 L/min, the sheath flow for the pre-DMA, V-DMA and H-DMA were 11, 6 and 6 L/min, respectively. The SSA volatile fraction was computed by measuring the diameter of preselected SSA upon heating by a thermodenuder up to 500 degree C, in temperature increments of 5 degree C - 50 degree C. After heating the SSA hygroscopic growth factor at 90% RH was measured. All VH-TDMA data were inverted using the TDMAinv algorithm (Gysel et al., 2009: doi:10.1016/j.jaerosci.2008.07.013). The hygroscopic growth factor, semi-volatile organic volume fraction and low volatility organic volume fraction were determined as outlined in (Cravigan et al., 2019: doi:10.5194/acp-2019-797). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; Calibrated fluorometer (Perkin-Elmer); ccn; Chatham Rise; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; FTIR; functional groups; Hygroscopic growth factor; hygroscopicity; IBA; ion beam; Latitude of event; Longitude of event; Organic volume fraction, low-volatile; Organic volume fraction, semi-volatile; Particle, geometric median diameter; PTFE bottle, 5L; Sea-salt hydrates, volume fraction; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; Volatility-Hygroscopicity Tandem Differential Mobility Analyser (VH-TDMA); WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9
    Type: Dataset
    Format: text/tab-separated-values, 167 data points
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  • 86
    Publication Date: 2024-07-01
    Description: In this study we present dissolved and particulate silicon isotope results in surface waters obtained as part of the GEOTRACES central Arctic Ocean section GN04 (2015) onboard POLARSTERN cruise PS94 (ARK-XXIX/3). The aim of the study was to investigate in more detail the influence of the Transpolar Drift on the Si cycle in the AO comparing areas with and without its influence.
    Keywords: Arctic Ocean; ARK-XXIX/3; Calculated, see Comment; Cast number; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; In situ pump; ISP; LATITUDE; LONGITUDE; Number of measurements; Polarstern; PS94; PS94/032-8; PS94/032-9; PS94/040-3; PS94/050-5; PS94/050-8; PS94/058-3; PS94/058-5; PS94/069-5; PS94/081-5; PS94/081-7; PS94/081-9; PS94/096-5; PS94/096-7; PS94/101-6; PS94/101-7; PS94/101-9; PS94/117-4; PS94/117-6; PS94/117-7; PS94/125-5; PS94/125-7; PS94/125-8; Quality flag; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Silicon isotopes; Station label; δ29Si, biogenic silica; δ29Si, silicon dissolved; δ29Si, standard deviation; δ30Si, biogenic silica; δ30Si, silicon dissolved; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
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  • 87
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-07-01
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; GLD; Glider; M135; M135_309-1; M136; M136_411-1; Meteor (1986); SFB754; SFB754/POSTRE-II
    Type: Dataset
    Format: application/gzip, 10.4 MBytes
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  • 88
    Publication Date: 2024-07-01
    Description: Collection of Alkenone temperatures derived from 42 Multicorer sediment surface samples of the subpolar North Pacific and its marginal seas (Okhotsk Sea and Bering Sea). Multicores were collected during several expeditions to the Okhotsk Sea, Bering Sea and North Pacific from 1997 to 2013 (R/V Akademik M.A. Lavrentyev cruise LV27 (Nürnberg et al., 1997); R/V Akademik M.A. Lavrentyev cruise LV28 (Biebow and Hütten, 1999); R/V Marshal Gelovany cruise GE99 (Biebow et al., 2000); R/V Akademik M.A. Lavrentyev cruise LV29 (Biebow et al., 2003); R/V Sonne cruise SO178, (Dullo and Biebow, 2004); R/V Sonne cruise SO201-2, Dullo et al., 2009); R/V Akademik M.A. Lavrentyev cruise LV55 (Gorbarenko, 2012); R/V Akademik M.A. Lavrentyev cruise LV63 (Gorbarenko, 2014).
    Keywords: Academy of Science Rise; Akademik M.A. Lavrentyev; Alkenone; Alkenone, unsaturation index UK'37; Area/locality; Bering Sea; Calculated from UK'37 (Müller et al, 1998); Calculated from UK37 (Sikes et al., 1997); Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Derugin Basin; Eastern continental slope of Sakhalin; Eastern slope of Kurile Basin; Elevation of event; Event label; GE99/KOMEX_VI; GE99-10-2; GE99-12-3; GE99-1-3; GE99-2-2; GE99-30-2; GE99-31-3; GE99-38-3; GE99-4-3; GE99-5-2; GE99-6-3; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); KALMAR II; KOMEX; KOMEX I; KOMEX II; Kronotsky Peninsula; Kurile Basin; La Perusa (Soya) Strait; Latitude of event; Longitude of event; LV27/GREGORY; LV27-3-2; LV28; LV28-2-2; LV28-40-3; LV28-41-3; LV28-42-3; LV28-4-3; LV28-43-3; LV28-61-3; LV28-64-3; LV29-104-1; LV29-106-1; LV29-108-3; LV29-110-1; LV29-112-1; LV29-114-1; LV29-131-1; LV29-2; LV29-69-1; LV29-70-3; LV29-94-1; LV55; LV55-12; LV55-18; LV55-9; LV63; LV63-14; LV63-16; LV63-28; LV63-33; LV63-41; Marshal Gelovany; MIC; MiniCorer; MUC; MultiCorer; Multicorer with television; North Derugin Basin; North Pacific; North-West Kurile basin slope; Okhotsk Sea; REKLIM; Sakhalin shelf; Sakhalin shelf and slope; Sea of Okhotsk; Sea surface temperature, annual mean; Sea surface temperature, autumn; Sea surface temperature, summer; sediment surface samples; Shirshov Ridge; SiGePAX; SO178; SO178-37-1; SO201/2; SO201-2-11; SO201-2-76; SO201-2-83; SO201-2-90; Sonne; Southwestern Kamchatka slope; SST; Terpenia bay; TVMUC; Uk´37; West Kurile basin; West Kurile basin slope; WTZ China - SiGePAX: Paläoklimatologische Entwicklung des Arktischen Ozeans
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 89
    facet.materialart.
    Unknown
    PANGAEA
    In:  GEOMAR - Helmholtz Centre for Ocean Research Kiel
    Publication Date: 2024-07-01
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; GLD; Glider; M135; M135_310-2; M136; M136_410-1; Meteor (1986); SFB754; SFB754/POSTRE-II
    Type: Dataset
    Format: application/gzip, 12.2 MBytes
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  • 90
    Publication Date: 2024-07-01
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. Filters were collected for compositional analysis using transmission Fourier Transform Infra Red (FTIR) and Ion Beam analysis (IBA). The nascent SSA was sampled through a 1 μm sharp cut cyclone (SCC 2.229PM1, BGI Inc., Waltham, Massachusetts) and collected on Teflon filters, with the sample confined to deposit on a 10 mm circular area. Back filter blanks were used to characterise the contamination during handling, and before analysis samples were dehydrated to remove all water, including SSA hydrates, as described in (Frossard and Russell, 2012: doi:10.1021/es3032083). Filter samples underwent simultaneous particle induced X-ray emission (PIXE) and gamma ray emission (PIGE) analysis (Cohen et al., 2004: doi:10.1016/j.nimb.2004.01.043). Si was the only compound with blank measurements above the IBA detection limit. The measured S mass was used to calculate the SO4 mass, all S was assumed to be in the form of SO4. The filter exposed area (0.785 cm2) was used to convert inorganic areal concentrations into total mass. The inorganic mass (IM) was computed as the sum of Na, Mg, SO4, Cl, K, Ca, Zn, Br and Sr. The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; Bromine per total inorganic mass fraction; Calcium per total inorganic mass fraction; ccn; Chatham Rise; Chloride per total inorganic mass fraction; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; FTIR; functional groups; hygroscopicity; IBA; Inorganic mass, total; ion beam; Latitude of event; Longitude of event; Magnesium per total inorganic mass fraction; Potassium per total inorganic mass fraction; PTFE bottle, 5L; sea spray; Simultaneous particle induced X-ray emission (PIXE) and gamma ray emission (PIGE) analysis; SOAP; SOAP (Surface Ocean Aerosol Production); Sodium per total inorganic mass fraction; SSA; Strontium per total inorganic mass fraction; Sulfate per total inorganic mass fraction; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9; Zinc per total inorganic mass fraction
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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  • 91
    Publication Date: 2024-07-01
    Description: This data set contains Planktic/Benthic + Planktic (P/B+P) ratio, Total alkenones concentrations, Alkenones accumulation rate , Benthic foraminiferal accumulation rate (BFAR) and benthic foraminiferal abundance in GeoB3327-5. The Humboldt Current System (HCS) is characterized by high marine primary productivity, the dynamics of which are closely linked to climate variability. However, its changes beyond the last glacial cycle are virtually unknow due to a dearth of long sediment records. Here we present a 500 ka multi-proxy marine productivity reconstruction from the southernmost part of the HCS (~43º S). At these latitudes, changes in marine productivity have been typically attributed to glacial-interglacial changes in the South Pacific Subtropical High (SPSH) and Southern Westerlies Winds (SWWs).
    Keywords: Accumulation rate, alkenone C37; Accumulation rate, number of benthic foraminifera; AGE; Alkenone, C37 total (C37:2+C37:3); Benthic foraminifera; CHIPAL; Cibicides spp., δ18O; Cibicidoides wuellerstorfi; DEPTH, sediment/rock; Discorbis peruvianus; Eggerella bradyi; Foraminifera, benthic; Foraminifera, benthic, other; Foraminifera, planktic; Foraminifera, planktic/benthic ratio; GeoB3327-5; Globocassidulina subglobosa; Gravity corer (Kiel type); Gyroidina soldanii; Humboldt Current System; Oridorsalis umbonatus; paleoproductivity; Pullenia bulloides; SL; SO102/1; Sonne; Southeast Pacific; South-East Pacific; Uvigerina peregrina
    Type: Dataset
    Format: text/tab-separated-values, 2681 data points
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  • 92
    Publication Date: 2024-07-01
    Description: This study builds on earlier investigations of multiyear variability of the diatom flux captured with sediment traps deployed at the mesopelagial mooring site CBmeso (='Cape Blanc mesotrophic', formerly known as CB). The main goal of this study is the description of the multiyear dynamics of the total diatom flux and the shifts in the species-specific composition of the assemblage at site CBmeso during almost 20 years (March 1988 through June 2009).
    Keywords: Cape Blanc; CB1_trap; CB12; CB12_trap; CB13; CB13_trap; CB14; CB15; CB16; CB17; CB17_trap; CB18; CB18_trap; CB19; CB2_trap; CB20; CB3_trap; CB4_trap; CB5_trap; CB7; CB7_trap; CB8; CB9_trap; Center for Marine Environmental Sciences; coastal upwelling; Cruise/expedition; DATE/TIME; decadal; DEPTH, water; diatoms; Diatoms, benthic; Diatoms, coastal planktic; Diatoms, coastal upwelling; Diatoms, open-ocean; Diatom valves, flux; Eastern Boundary Current Ecosystems; Elevation of event; Event label; fluxes; Latitude of event; Longitude of event; M12/1; M16/2; M29/3; M6/6; M65/2; M9/4; Maria S. Merian; MARUM; Mauritania; Meteor (1986); MOOR; Mooring; MSM04/4b; multiyear; northwest Africa; Northwest Africa; POS310; Poseidon; Sample code/label; Sediment traps; time-series; Trap; TRAP
    Type: Dataset
    Format: text/tab-separated-values, 2155 data points
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  • 93
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; B_LANDER; Barium; Boron; Bottom lander; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Hydrogen sulfide; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; LANDER; Lithium; M77/1; M77/1_464; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Phosphate; Photometric; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 185 data points
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  • 94
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; Barium; BIGO; Biogeochemical observatory; Boron; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Hydrogen sulfide; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; Lithium; M77/1; M77/1_474; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Phosphate; Photometric; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 159 data points
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  • 95
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; Barium; BIGO; Biogeochemical observatory; Boron; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; Lithium; M77/1; M77/1_566; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Phosphate; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 176 data points
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  • 96
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; Barium; BIGO; BIGO T; Biogeochemical observatory; Boron; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; Lithium; M77/1; M77/1_544; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Phosphate; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 149 data points
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  • 97
    Publication Date: 2024-07-01
    Keywords: BIGO; Biogeochemical observatory; Calcium carbonate; Carbon, organic, total; Carbon, total; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, sediment/rock; M77/1; M77/1_526; Meteor (1986); Nitrogen, total; Replicate; Sample code/label; SFB754; Sulfur, total
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 98
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; B_LANDER; Barium; Boron; Bottom lander; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; Hydrogen sulfide; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; LANDER; Lithium; M77/1; M77/1_464; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Number; Phosphate; Photometric; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Time in hours; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 434 data points
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  • 99
    Publication Date: 2024-07-01
    Keywords: Alkalinity, total; Ammonium; Barium; BIGO; BIGO T; Biogeochemical observatory; Boron; Bromide; Calcium; Chlorine; Climate - Biogeochemistry Interactions in the Tropical Ocean; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iodide; Ion chromatography; Iron; Lithium; M77/1; M77/1_544; Magnesium; Manganese; Meteor (1986); Nitrate; Nitrite; Number; Phosphate; Photometry; Potassium; Replicate; Sample code/label; SFB754; Silicate; Silicon; Sodium; Strontium; Sulfate; Time in hours; Titration, Pavlova
    Type: Dataset
    Format: text/tab-separated-values, 309 data points
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  • 100
    Publication Date: 2024-07-01
    Description: IRD flux and the corresponding petrographic grain composition. The sampled sediment record PS93/025, consisting of the Giant box core (GKG) PS93/025-1 (80.481°N, 8.487°W, 291.3 m water depth) and the Kastenlot core (KAL) PS93/025-2 (80.482°N, 8.490°W, 290.2 m water depth), was obtained during the expedition PS93.1 (2015) (Stein, 2016) of RV Polarstern on the outermost NE Greenland shelf in the western Fram Strait. The presented data covers the last ca. 10.6 ka. Ice-rafted debris counts were performed on the 〉150 μm fraction at steps of 5 cm. The results are expressed as flux rates (grains/cm2*ka). Additionally, the corresponding petrographic grain composition was analyzed to determine the source area(s) of these lithic particles by using the following groups: (a) clastic sedimentary rocks (e.g. siltstones); (b) metamorphic rocks (e.g. quartzites), volcanic rocks (e.g. basalt), olivine grains, volcanic glass shards, mica; (c) crystalline rocks, quartz and feldspar; (d) limestones and dolomites. Rounded grains were specified following St John et al. (2015) to identify the influence of sea-ice sediments. In this study, grains with subrounded and rounded shape were counted and grouped as "rounded." Aim of the study was to reconstruct the climatic and paleoceanographic variability offshore Northeast Greenland during the last ca. 10ka with multidecadal resolution.
    Keywords: AGE; Arctic; ARK-XXIX/2.1; Clastic sedimentary rocks; Crystalline rocks, Quartz and Feldspar; DEPTH, sediment/rock; Event label; Fram Strait; Giant box corer; GKG; Greenland; Ice rafted debris, flux; Ice rafted debris, rounded; IRD; KAL; Kasten corer; Limestones and Dolomites; North Greenland Sea; Polarstern; PS93/025-1; PS93/025-2; PS93.1; Volcanic rocks and mafic minerals
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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