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  • 1
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    Sea ice drift, surface temperature, barometric pressure, humidity, wind speed and wind direction from autonomous measurements from buoy 2018A2, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE) (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-06-27
    Description: Sea ice drift, surface temperature, barometric pressure, humidity, wind speed and wind direction were measured by the Polar Area Weather Station (PAWS) 2018A2 drifting on Arctic sea ice. The buoy was deployed on multi year ice during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The time series describes the position and additional parameters of the buoy between 13 Sep 2018 and 15 Oct 2018 in sample intervals of 3 hours. The data set has been processed, including the removal of obvious inconsistencies (missing values).
    Keywords: 2018A2; Akademik Tryoshnikov; Arctic Ocean; AT2018, TICE, NABOS; autonomous platform; buoy; DATE/TIME; drift; FRAM; FRontiers in Arctic marine Monitoring; Humidity, relative; LATITUDE; LONGITUDE; Pressure, atmospheric; snow depth; Temperature, air; Temperature, water; Transdrift-XXIV; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S75, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S75, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 13 September 2018 and 15 August 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S75; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501647
    Type: Dataset
    Format: text/tab-separated-values, 59281 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S77, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S77, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 11 September 2018 and 14 March 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S77; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501651
    Type: Dataset
    Format: text/tab-separated-values, 52057 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S76, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE) (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S76, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 15 September 2018 and 27 April 2019 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S76; Akademik Tryoshnikov; Arctic Ocean; AT2018, TICE, NABOS; autonomous platform; buoy; BUOY_SNOW; DATE/TIME; drift; LATITUDE; LONGITUDE; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV
    Type: Dataset
    Format: text/tab-separated-values, 18785 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S72, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S72, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 13 September 2018 and 14 May 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S72; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501643
    Type: Dataset
    Format: text/tab-separated-values, 43779 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S71, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S71, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 15 September 2018 and 26 December 2019 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S71; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501641
    Type: Dataset
    Format: text/tab-separated-values, 46540 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S73, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S73, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 11 September 2018 and 03 April 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S73; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501645
    Type: Dataset
    Format: text/tab-separated-values, 55790 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S74, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S74, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 14 September 2018 and 27 May 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S74; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; Transdrift-XXIV; WMO-ID 2501644
    Type: Dataset
    Format: text/tab-separated-values, 73725 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 9
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    Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S78, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV / TICE (2021)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Description: Snow height was measured by the Snow Depth Buoy 2018S78, an autonomous platform, drifting on Arctic sea ice, deployed during AKADEMIK TRYOSHNIKOV cruise TRANSDRIFT XXIV (TICE). The resulting time series describes the evolution of snow depth as a function of place and time between 16 September 2018 and 16 February 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on multi year ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
    Keywords: 2018S78, WMO-ID 2501653; Akademik Tryoshnikov; AT2018, TICE, NABOS; autonomous platform; AWI_SeaIce; buoy; BUOY_SNOW; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; LATITUDE; LONGITUDE; meereisportal.de; MIDO; Multidisciplinary Ice-based Distributed Observatory; Pressure, atmospheric; Sea Ice Physics @ AWI; Snow buoy; snow depth; Snow height; Temperature, air; Temperature, technical; TICE/8; Transdrift-XXIV
    Type: Dataset
    Format: text/tab-separated-values, 46680 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    PANABIO: A point-referenced pan-Arctic data collection of benthic biotas (2023)
    PANGAEA
    Details
    Publication Date: 2024-03-07
    Description: The PAN-Arctic data collection of benthic BIOtas (PANABIO) contains records of benthic fauna identified at genus-level or species-level in field samples taken at point-referenced locations (stations) by means of grabs, towed gear, or seabed imaging. The data are from all major marine Arctic areas, i.e., central Arctic Ocean, Chukchi Sea, East Siberian Sea, Laptev Sea, Kara Sea, Barents Sea (incl. White Sea), Svalbard waters, Greenland Sea, Norwegian Sea, Canadian Archipelago, Beaufort Sea, and Bering Sea, as well as some adjacent sub-Arctic regions (Sea of Japan, Gulf of Okhotsk). Currently (14 December 2023), the collection includes 27 datasets with a total of 126,388 records (ranging from presence to counts, abundances or biomass) of 2,978 taxa, identified in 11,555 samples taken at 10,596 stations during 1,095 cruises between 1800 and 2014. It is also available in a PostgreSQL-based data warehouse that can be accessed and queried through an open-access frontend web service at https://critterbase.awi.de/panabio.
    Keywords: Arctic; Benthos; Biodiversity; biogeography
    Type: Dataset
    Format: application/zip, 27 datasets
    Location Call Number Expected Availability
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