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  • 11
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    Unknown
    Silt and age analysis from sediment core KNP178-56JPC (2019)
    PANGAEA
    In:  Woods Hole Oceanographic Institution, Department of Geology & Geophysics
    Details
    Publication Date: 2024-04-24
    Keywords: Age; AGE; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; Depth, composite; DEPTH, sediment/rock; Intercore correlation; Knorr; KNR178; KNR178-56JPC; PC; Piston corer; smoothed; sortable silt; Sortable-silt mean; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 369 data points
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  • 12
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    Unknown
    Spheroidal carbonaceous particle from sediment core KNR178-56JPC (2019)
    PANGAEA
    In:  Woods Hole Oceanographic Institution, Department of Geology & Geophysics
    Details
    Publication Date: 2024-04-24
    Keywords: Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; deep water formation; Depth, bottom/max; Depth, corrected; DEPTH, sediment/rock; Depth, top/min; Knorr; KNR178; KNR178-56JPC; PC; Piston corer; sortable silt; Spheroidal carbonaceous particle, per unit sediment dry mass; subsurface ocean temperatures
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 13
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    Unknown
    Age analysis from sediment core KNR178-48JPC (2019)
    PANGAEA
    In:  Woods Hole Oceanographic Institution, Department of Geology & Geophysics
    Details
    Publication Date: 2024-04-24
    Keywords: Age, comment; Age, dated; Age, dated standard error; Atlantic meridional overturning circulation; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Calendar age; deep water formation; DEPTH, sediment/rock; Fraction modern carbon; Fraction modern carbon, error; Knorr; KNR178; KNR178-48JPC; PC; Piston corer; Sample code/label; Sample ID; sortable silt; subsurface ocean temperatures; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
    Location Call Number Expected Availability
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  • 14
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    XRF and biogeochemical characteristics of sediment core PG2201 from Lake Malaya Chabyda, Central Yakutia (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Keywords: Aluminium, area, total counts; Aluminium, calibrated elemental proportions; Aluminium, chi-square; Aluminium, standard deviation; AWI_Envi; AWI Arctic Land Expedition; Bismuth, area, total counts; Bismuth, chi-square; Bismuth, proportion; Bismuth, standard deviation; Bromine, area, total counts; Bromine, chi-square; Bromine, proportion; Bromine, standard deviation; Calcium, area, total counts; Calcium, chi-square; Calcium, proportion; Calcium, standard deviation; Calcium/Titanium ratio; Carbon; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon and Nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Chloride, area, total counts; Chlorine, chi-square; Chlorine, proportion; Chlorine, standard deviation; Chromium, area, total counts; Chromium, chi-square; Chromium, proportion; Chromium, standard deviation; COMPCORE; Composite Core; Copper, area, total counts; Copper, chi-square; Copper, proportion; Copper, standard deviation; Density; Density, dry bulk; DEPTH, sediment/rock; Elemental analyzer, Vario SoilTOC cube; File name; Gallium, area, total counts; Gallium, chi-square; Gallium, proportion; Gallium, standard deviation; Holocene; Iron, area, total counts; Iron, chi-square; Iron, proportion; Iron, standard deviation; Iron/Calcium ratio; Iron/Manganese ratio; Iron/Titanium ratio; Lake Malaya Chabyda, Yakutia, Russia; Lake sediment core; Late Pleistocene; Lead, area, total counts; Lead, chi-square; Lead, proportion; Lead, standard deviation; Manganese, area, total counts; Manganese, chi-square; Manganese, proportion; Manganese, standard deviation; Manganese/Iron ratio; Manganese/Titanium ratio; Mass; Mass spectrometer ThermoFisher Delta V Advantage; Molybdenum, area, total counts; Molybdenum, chi-square; Molybdenum, proportion; Molybdenum, standard deviation; Niobium, area, total counts; Niobium, chi-square; Niobium, proportion; Niobium, standard deviation; Nitrogen, total; organic carbon; Paleolimnology; PG2201_site; Phosphorus, area, total counts; Phosphorus, chi-square; Phosphorus, proportion; Phosphorus, standard deviation; Polar Terrestrial Environmental Systems @ AWI; Porosity, fractional; Potassium, area, total counts; Potassium, chi-square; Potassium, proportion; Potassium, standard deviation; Rhenium, area, total counts; Rhenium, chi-square; Rhenium, proportion; Rhenium, standard deviation; Rubidium, area, total counts; Rubidium, chi-square; Rubidium, standard deviation; RU-Land_2013_Yakutia; Sample code/label; Sample mass; Sample volume; Siberian permafrost; Silicon, area, total counts; Silicon, chi-square; Silicon, proportion; Silicon, standard deviation; Silicon/Titanium ratio; stable carbon isotopes δ13C; Strontium, area, total counts; Strontium, chi-square; Strontium, proportion; Strontium, standard deviation; Sulfur, area, total counts; Sulfur, chi-square; Sulfur, proportion; Sulfur, standard deviation; Titanium, area, total counts; Titanium, chi-square; Titanium, proportion; Titanium, standard deviation; Water content, wet mass; X-ray fluorescence (XRF); X-ray fluorescence core scanner (XRF), Avaatech; Yakutia2013; Yttrium, area, total counts; Yttrium, chi-square; Yttrium, proportion; Yttrium, standard deviation; Zinc, area, total counts; Zinc, chi-square; Zinc, proportion; Zinc, standard deviation; Zirconium, area, total counts; Zirconium, chi-square; Zirconium, standard deviation; Zirconium/Rubidium ratio; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 68144 data points
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  • 15
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    Temperature, electrical conductivity, DOC, CDOM, stable water isotopes and major ions of Lena River water from April 2018 to April 2019 (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: A number of studies expect an increase of carbon export by rivers to the Arctic Ocean due to rapidly changing climate in the Arctic One possible reason for the increase of carbon export is thawing permafrost, which can lead to a mobilization of previously frozen dissolved organic matter (DOM). Scarce measurements of DOC and the coloured fraction of DOM (CDOM) (〈 8 samples/year) were previously used to estimate fluxes to the Arctic Ocean for the whole year. Here, we present a new high frequency sampling program and its viability to monitor export fluxes of DOM and its biogeochemistry in the Lena River. This dataset includes measurements of several water parameters, such as temperature, electric conductivity, dissolved organic carbon (DOC), spectral CDOM absorption (aCDOM), stable water isotopes and major ions. The high sampling frequency throughout the whole year facilitats the identification of the main drivers behind the seasonality of DOM concentration and biogeochemistry of the Lena River. The high number of samples throughout the whole year allows flux calculations that are independently from load models that likely lead to a large variation of earlier studies. Optical indices reveal changing composition and sources of DOM throughout the year. This dataset represents the first year (April 2018 to April 2019) of a planned long-term monitoring program at the Research Station Samoylov Island and provides a baseline data set against which future change of this large integrative system may be measured. A continuous sampling of Arctic River water will facilitate to identify intra and inter-annual trends with ongoing climate change.
    Keywords: Absorption coefficient, colored dissolved organic matter at given wavelength; Aluminium; AWI Arctic Land Expedition; Barium 2+; biogeochemistry; Bromide; Calcium; Calculated; Carbon, organic, dissolved; CDOM; Chloride; Conductivity, electrical; DATE/TIME; DEPTH, water; Deuterium excess; DOC; DOM; Fluoride; Handheld meter, WTW, 340i, Conductivity; Identification; Inductively coupled plasma optical emission spectrometry (ICP-OES), Perkin-Elmer, Optima 8300DV; Ion chromatography (Thermo-Fischer ICS 2100); Iron; Latitude of event; Lena 2018; Lena 2019; Longitude of event; Magnesium; major ions; Manganese; Mass spectrometer Finnigan Delta-S/equilibration device; Nitrate; Olenekskaya_Ch; Phosphate; Phosphorus; Potassium; RIVER; RU-Land_2018_Lena; RU-Land_2018_Lena_Olenekskaya; RU-Land_2019_Lena; RU-Land_2019_Lena_Olenekskaya; Sampling river; Shimadzu TOC-VCPH total organic carbon analyzer; Silicon; Sodium; Specific ultraviolet absorbance normalized to DOC; Spectrophotometer UV/VIS (PerkinElmer Lambda 950); stable water isotopes; Strontium 2+; Sulfate; Temperature, water; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 42031 data points
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  • 16
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    Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20191130_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. 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 gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, 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. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
    Keywords: 20191130_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; Freeboard; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_9-98; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 17
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    Unknown
    Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20191119_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. 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 gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, 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. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
    Keywords: 20191119_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; Freeboard; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_8-23; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
    Location Call Number Expected Availability
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  • 18
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    Unknown
    Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20191228_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. 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 gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, 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. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
    Keywords: 20191228_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; Freeboard; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_17-101; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
    Location Call Number Expected Availability
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  • 19
    facet.materialart.
    Unknown
    Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20191224_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. 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 gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, 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. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
    Keywords: 20191224_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; Freeboard; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_17-98; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 390 data points
    Location Call Number Expected Availability
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  • 20
    facet.materialart.
    Unknown
    Gridded segments of sea-ice or snow surface elevation and freeboard from helicopter-borne laser scanner during the MOSAiC expedition flight 20190928_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-24
    Description: This data set is a higher-processing-level version of Geolocated sea-ice or snow surface elevation point clouds from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), where the surface elevation point cloud has been converted to freeboard using automatic open water detection scheme and projected onto a regular 0.5-meter grid. 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 gridded data are stored in 30-second along-track segments in netCDF format. For the small scale grid flights, 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. Open water points are identified to derive a freeboard estimate from the surface elevations. For the flights with degraded GPS altitude quality, we provide only a freeboard estimate (grid pattern flights) or no freeboard (transects). The gridded 30-s segments include as data variables: surface elevation, freeboard (estimate), freeboard uncertainty, estimated sea surface height, surface reflectance, echo width, and number of points used in the interpolation. In addition, list of detected open water points and an overview figure of each flight is provided.
    Keywords: Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; Freeboard; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1_2_45_2019092801; PS122/1; PS122/1_2-45; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
    Location Call Number Expected Availability
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