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  • 1
    Publication Date: 2024-06-04
    Description: Data presented here were collected between January 2021 to December 2021 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Metacommunity; meteorology; salt marsh; Spiekeroog
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 2
    Publication Date: 2024-06-04
    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; Freeboard; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; 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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  • 3
    Publication Date: 2024-06-04
    Description: This data data set is the taxonomically harmonized pollen data from records 2831 sites. 1032 sites are located in North America, 1075 sites in Europe, 488 sites in Asia, 150 sites in South America, 54 in Africa and 32 in the Indopacific. Most of the data where retrieved from the Neotoma Paleoecology Database (https://www.neotomadb.org/), with additional data from Cao et al. (2020; https://doi.org/10.5194/essd-12-119-2020), Cao et al. (2013, https://doi.org/10.1016/j.revpalbo.2013.02.003) and our own collection for the Asian sector. The ages of the samples refer to the newly established LegacyAge 1.0 framework (https://doi.pangaea.de/10.1594/PANGAEA.933132). The 10,110 original pollen taxa names and notations were harmonized to 1002 taxa names. We present the table with the harmonization approach crossreferencing the original taxa with the harmonized taxa name. The harmonised pollen data are presented as counts (when available) and as percentage values. We complement the data publication by providing the source information on the references (most data are related to Neotoma) as a table linked to each Dataset ID. The data set and site IDs are from Neotoma if the data sets are derived from the Neotoma repository. In case of our own data collection efforts (Cao et al. (2020), Cao et al. (2013) and our own data) we used the already published PANGAEA event names in case they are related to the data or created own site names with referencing to geographical regions similar to the Neotoma data naming principle.
    Keywords: AWI_Envi; fossil pollen; Neotoma; paleoecology; Polar Terrestrial Environmental Systems @ AWI; taxonomically harmonized
    Type: Dataset
    Format: application/zip, 14 datasets
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  • 4
    Publication Date: 2024-06-04
    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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  • 5
    Publication Date: 2024-06-04
    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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  • 6
    Publication Date: 2024-06-04
    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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  • 7
    Publication Date: 2024-06-04
    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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  • 8
    Publication Date: 2024-06-04
    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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  • 9
    Publication Date: 2024-06-04
    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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  • 10
    Publication Date: 2024-06-04
    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
    Location Call Number Expected Availability
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  • 11
    Publication Date: 2024-06-04
    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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  • 12
    Publication Date: 2024-06-04
    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
    Location Call Number Expected Availability
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  • 13
    Publication Date: 2024-06-04
    Description: Firn cores OH-7 and OH-11 were retrieved from Plateau Laclavere, a small ice cap on the northernmost end of the Antarctic Peninsula, at about 1130 m above sea level (a.s.l.). OH-7 was drilled in January 2014 to a depth of 15.31 m using a mechanical 9 cm diameter drilling device (Rufli auger). OH-11 was drilled in January 2015 to a depth of 20.44 m. Firn core LP-01 was recovered from Plateau Louis Phillipe, which is located approximately 40 km south of Plateau Laclavere, at about 1390 m a.s.l. The core was drilled in January 2016 to a depth of 21.38 m. Cores OH-11 and LP-01 were obtained using a portable solar-powered and electrically operated ice-core drill (Backpack Drill; icedrill.ch AG). Subsamples for stable water isotope analysis were obtained from the three cores at 5 cm resolution. Stable water isotope measurements of OH-7 and LP-01 were performed at the ISOLAB Stable Isotope Facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) in Potsdam, Germany, in summer 2017 and autumn 2018, respectively, using cavity ring-down spectrometers L2130-i and L2140-i (Picarro Inc.) coupled to an auto-sampler (L2130-i: PAL HTC-xt, CTC Analytics AG; L2140-i: Picarro Autosampler, Picarro Inc.). Stable water isotope measurements of OH-11 were conducted at the Stable Isotope Laboratory of the Universidad Nacional Andrés Bello (UNAB) in Viña del Mar, Chile, in autumn 2015 with an off-axis integrated cavity output spectrometer (TLWIA 45EP; Los Gatos Research). The three cores have not been dated yet. The data has been used in combination with data on the stable water isotope composition of three other firn cores from the same study area (doi:10.1594/PANGAEA.871083; doi:10.1594/PANGAEA.939718) to identify common isotopic patterns and to investigate their spatial and temporal variability.
    Keywords: Antarctic Peninsula; Firn chemistry; firn core; proxies; stable water isotopes
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 14
    Publication Date: 2024-06-04
    Description: Conductivity, temperature, and pressure were measured by a Glider Payload CTD (SBE GPCTD, Seabird). Oxygen frequency was measured by an oxygen optode (SBE 43F DO, Seabird). Both instruments were 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 Gibbs SeaWater (GSW) Oceanographic Toolbox of TEOS-10 was used to derive other hydrographic data. The conversion from oxygen frequency to dissolved oxygen concentration was performed using the OOI L2 data product DOCONCF (Vardaro, 2014).
    Keywords: Arctic Ocean; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; GPCTD; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; 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 Physics @ AWI
    Type: Dataset
    Format: application/zip, 84 datasets
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  • 15
    Publication Date: 2024-06-04
    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 ARTofMELT2023 expedition in May and June 2023. 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: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 18 datasets
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2024-06-04
    Description: pH values were obtained using a SBE18 pH sensor (Seabird) mounted on the remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. The values were derived from the sensor voltages using the same calibration during the entire expedition.
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 17
    Publication Date: 2024-06-04
    Description: These bundled biogeochemical data of sediment core EN20001, from Lake Khamra (59.99095° N, 112.98345° E), in SW Yakutia consist of four datasets: (1) Radiocarbon age dating of bulk sediments from sediment core EN20001 from Lake Khamra, measured at AWI MICADAS; (2) Element composition of the sediment core EN20001 from Lake Khamra, measured at the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR); (3) TOC and TN of the sediment core EN20001 from Lake Khamra, measured in the sediment laboratory at AWI, Potsdam; (4) Pollen and non-pollen palynomorphs of the sediment core EN20001 from Lake Khamra, measured at AWI, Potsdam. This study was additionally supported by a short-term grant (not numbered) from AWI Graduate School (POLMAR), and PhD Completion Scholarship (not numbered) provided by University of Potsdam.
    Keywords: AWI_Envi; Boreal; Lake sediment; Lake sediment core; lake sediment proxies; Land cover; non-pollen palynomorphs; Polar Terrestrial Environmental Systems @ AWI; Pollen; pollen analysis; pollen and spores; radiocarbon dating; Russia; sakha; Sakha Republic; Siberia; subarctic; TN; TOC; Vegetation; XRF; XRF core scanner data; Yakutia
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2024-06-04
    Description: Conductivity, temperature, and pressure were measured by a Glider Payload CTD (SBE GPCTD, Seabird). Oxygen frequency was measured by an oxygen optode (SBE 43F DO, Seabird). Both instruments were mounted in the sensor skid of a remotely operated vehicle (ROV) during the ARTofMELT2023 expedition in May and June 2023. Data use manufacturer calibration. The Gibbs SeaWater (GSW) Oceanographic Toolbox of TEOS-10 was used to derive other hydrographic data. The conversion from oxygen frequency to dissolved oxygen concentration was performed using the OOI L2 data product DOCONCF (Vardaro, 2014).
    Keywords: ARTofMELT; ARTofMELT2023; Atmospheric rivers and the onset of sea ice melt 2023; AWI_SeaIce; BEAST; FRAM; FRontiers in Arctic marine Monitoring; Remotely operated vehicle (ROV); Sea ice; Sea Ice Physics @ AWI
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 19
    Publication Date: 2024-06-04
    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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  • 20
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Checkley, David M; Dickson, Andrew G; Takahashi, Motomitsu; Radich, J Adam; Eisenkolb, Nadine; Asch, Rebecca (2009): Elevated CO2 enhances otolith growth in young fish. Science, 324(5935), 1683, https://doi.org/10.1126/science.1169806
    Publication Date: 2024-06-04
    Description: A large fraction of the carbon dioxide added to the atmosphere by human activity enters the sea, causing ocean acidification. We show that otoliths (aragonite ear bones) of young fish grown under high CO2 (low pH) conditions are larger than normal, contrary to expectation. We hypothesize that CO2 moves freely through the epithelium around the otoliths in young fish, accelerating otolith growth while the local pH is controlled. This is the converse of the effect commonly reported for structural biominerals.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Atractoscion nobilis; Atractoscion nobilis, dry mass; Atractoscion nobilis, larval age; Atractoscion nobilis, orientation; Atractoscion nobilis, otolith area; Behaviour; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Checkley_etal_09; Chordata; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; EXP; Experiment; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Image analysis NIH ImageJ; Laboratory experiment; Laboratory strains; Light:Dark cycle; Measured; Nekton; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Otolith; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Salinity; Single species; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4392 data points
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  • 21
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-04
    Description: Raw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6_244_ANT_23_24 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.
    Type: Dataset
    Format: application/zip, 16 datasets
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2024-06-04
    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
    Location Call Number Expected Availability
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  • 23
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Böger, Horst; Kowalczyk, Gotthard (1993): Stratigraphische, sedimentologische und paläoökologische Untersuchungen im Mesozoikum der Depressão Periférica in Rio Grande do Sul, Brasilien. Berichte-Reports, Geologisch-Paläontologisches Institut der Universität Kiel, 63, 72 pp, https://doi.org/10.2312/reports-gpi.1993.63
    Publication Date: 2024-06-04
    Description: Stratigraphy, sedimentology and paleoecology of Mesozoic continental sequences in the Depressao periferica, Rio Grande do Sui, Brazil, are subject of a DFG (German Research Foundation) research project. Results of the first two years period of activities in which the Geologicai-Paleontological Institutes of the Universities of Kiel and Frankfurt/M. in collaboration with the Departamento de Geociencias, University of Santa Maria in Camobi, RS, were involved are reported here. A second phase of field activities is planned for the time period from fall 1993 to the spring of 1995. The stratigraphic boundaries of the investigation are the underlying sediments of the Permian Passa Dais-Series and the overlying basalts of the Serra Geral Formation, covering the time span of 235 Ma to 133 Ma. A subordinate, chronostratigraphic system encompassing the sediments of this time period has yet to be established and extensive hiatuses are to be expected. Correlations with the lschigualasto Formation in NW-Argentina support the assumption that the upper Santa Maria Formation (Aiemoa member) falls in the mid Carnian. This is the only reasonable certain chronostratigraphic date from the Mesozoic of the Depressao periferica established at the present time. The classical tetrapod sites of the Triassic Santa Maria Formation all fall within the Alemoa-Member, the sediments of which were deposited under in part evaporitic conditions on playa mud flats. Evidence points to isochronic sedimentation and discounts the possibility of a diachronic genesis. The Santa Maria Formation and the underlying Sanga do Cabral Formation are placed together in the Rio do Rasta Subgroup as a genetic unit in accordance with the original definition, which conflicts with present day usage of the names. The Rio do Rasto Subgroup pinches out west of Sao Francisco do Assis and east of the Taquarl river. The entire Rio do Rasto Formation is enclosed in eolic sediments, indicating an extensive sedimentation complex arising from a persistently subsiding playa areal within the Botucatu desert. Beyond the range of the Rio do Rasto Subgroup, it is difficult or impossible to distinguish between the eolic sediments of the older, underlying Rosario do Sui Formation and the overlying, younger Botucatu Sandstone Member. As such, the entire paleogeographically and genetically uniform sedimentation complex is compiled together under the term Botucatu Group. The Sanga do Cabral Formation is characterized by an abundance of detritic micas (muscovite and biotite). K/ Ar dating have indicated a preliminary age for muscovite of 418 ± 8 Ma and 423.5 ± 9.7 Ma. Presumably, they originated from volcanites, subvolcanites and pyroclastics of the Camaqua Group (Brasiliano molasse). As such, the Precambrian/ lower Paleozoic Escudo Sui in Rio Grande do Sui was exposed and eroded to the level found today at the time of deposition of the Sanga do Cabral Formation.
    Keywords: Area/locality; GIK/IfG; Institute for Geosciences, Christian Albrechts University, Kiel; LATITUDE; LONGITUDE; Outcrop ID; Stratigraphy
    Type: Dataset
    Format: text/tab-separated-values, 841 data points
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2024-06-04
    Description: ASCII file with Data from the SeaBird Glider-Payload CTD (GPCTD) of the following format: 1 Header line: [SPOT.ON general serial format version 1] followed by datalines: [2016.10.01T08.22.49.317 | 1.54, -2.2081,-0.00001, 3199.84] [Timestamp | Pressure(db), Temperature(°C), Conductivity(S/m), DissolvedOxygenFrequency(Hz)]
    Keywords: Arctic Ocean; BEAST; DATE/TIME; Event label; GPCTD; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; 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_24-97; PS122/2_25-104; PS122/2_25-44; Remotely operated sensor platform BEAST; Sea-bird SBE Glider Payload CTD; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
    Location Call Number Expected Availability
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  • 25
    facet.materialart.
    Unknown
    PANGAEA
    In:  Research School of Earth Sciences, The Australian National University, Canberra | Supplement to: Willmes, Malte; McMorrow, Linda; Kinsley, Les; Armstrong, R; Aubert, Maxime; Eggins, Stephen M; Falguères, Christophe; Maureille, Bruno; Moffat, Ian; Grün, R (2014): The IRHUM (Isotopic Reconstruction of Human Migration) database - bioavailable strontium isotope ratios for geochemical fingerprinting in France. Earth System Science Data, 6(1), 117-122, https://doi.org/10.5194/essd-6-117-2014
    Publication Date: 2024-06-04
    Description: The dataset consists of 87Sr/86Sr isotope ratios of plant samples and soil leachates covering the major geologic regions of France. In addition to the isotope data it provides the spatial context for each sample, including background geology, field observations and soil descriptions. The dataset can be used to create Sr isoscapes for France, which can be applied in a wide range of fields including archaeology, ecology, soil, food, and forensic sciences.
    Keywords: Age, comment; Age, maximum/old; Age, minimum/young; Area/locality; Comment; ELEVATION; Environment; Event label; F06(F)-001; F06(F)-002; F06(F)-004; F06(F)-006; F06(F)-008; F06(F)-012; F06(F)-016; F06(F)-018; F06(F)-021; F06(F)-023; F06(F)-024; F06(F)-025; F06(F)-027; F06(F)-033; F06(F)-034; F06(F)-035; F06(F)-037; F06(F)-038; F06(F)-040; F06-002; F06-003; F06-005; F06-007; F06-008; F06-009; F06-010; F06-011; F06-012; F06-014; F06-015; F06-016; F06-017; F06-019; F06-020; F06-023; F06-024; F06-026; F06-027; F06-029; F06-030; F06-031; F06-032; F06-033; F06-036; F06-037; F06-038; F06-040; F06-042; F06-043; F06-044; F06-045; F06-046; F06-047; F06-050; F06-051; F06-054; F06-055; F06-056; F06-057; F06-058; F06-059; F06-061; F06-062; F09-001; F09-002; F09-003; F09-004; F09-005; F09-006; F09-007; F09-008; F09-009; F09-010; F09-011; F09-012; F09-013; F09-014; F09-015; F09-016; F09-017; F09-018; F09-019; F09-020; F09-021; F09-022; F09-023; F09-024; F09-025; F09-026; F09-027; F09-028; F09-029; F09-030; F09-031; F09-032; F09-033; F09-034; F09-035; F09-036; F09-037; F09-038; F09-039; F09-040; F09-041; F09-042; F09-043; F09-044; F09-045; F09-046; F09-047; F09-048; F09-049; F09-050; F09-051; F09-052; F09-053; F09-054; F09-055; F09-056; F09-057; F09-058; F09-060; F09-061; F09-062; F09-063; F09-064; F09-065; F09-066; F09-067; F09-068; F09-069; F09-070; F09-071; F09-072; F09-073; F09-074; F09-075; F09-076; F09-077; F09-078; F09-079; F09-080; F09-081; F09-082; F09-083; F09-084; F09-085; F09-086; F09-087; F09-088; F09-089; F09-090; F09-091; F09-092; F09-093; F09-094; F09-095; F09-096; F09-097; F09-098; F09-099; F09-100; F09-101; F09-102; F09-103; F09-104; F09-105; F09-106; F09-107; F09-108; F09-109; F09-110; F09-111; F09-112; F09-113; F09-114; F09-115; F09-116; F09-117; F09-118; F11-001; F11-002; F11-003; F11-004; F11-005; F11-006; F11-007; F11-008; F11-009; F11-010; F11-011; F11-012; F11-013; F11-014; F11-015; F11-016; F11-017; F11-018; F11-019; F11-020; F11-021; F11-022; F11-023; F11-024; F11-025; F11-026; F11-027; F11-028; F11-029; F11-030; F11-031; F11-032; F11-033; F11-034; F11-035; F11-036; F11-037; F11-038; F11-039; F11-040; F11-041; F11-042; F11-043; F11-044; F11-045; F11-046; F11-047; F11-048; F11-049; F11-050; F11-051; F11-052; F11-053; F11-054; F11-055; F11-056; F11-057; F11-058; F11-059; F11-060; F11-061; F11-062; F11-063; F11-064; F11-065; F11-066; F11-067; F11-068; F11-069; F11-070; F11-071; F11-072; F11-073; F11-074; F11-075; F11-076; F11-077; F11-078; F11-079; F11-080; F11-081; F11-082; F11-083; F11-084; F11-085; F11-086; F11-087; F11-088; F11-089; F11-090; F11-091; F11-092; F11-093; F11-094; F11-095; F11-096; F11-097; F11-099; F11-100; F11-101; F11-102; F11-103; F11-104; F11-105; F11-106; F11-107; F11-108; F11-109; F11-110; F11-111; F11-112; F11-113; F11-114; F11-115; F11-116; F11-117; F11-118; F11-119; F11-120; F11-121; F11-122; F11-123; F11-124; F11-125; F11-126; F11-127; F11-128; F11-129; F11-130; F11-131; F11-132; F11-133; F11-134; F11-135; F11-136; F11-137; F11-138; F11-139; F11-140; F11-141; F11-142; F11-143; F11-144; F11-145; F11-146; F11-147; F11-148; F11-149; F11-150; F11-151; F11-152; F11-153; F11-154; F11-155; F11-156; F11-157; F11-158; F11-159; F11-160; F11-161; F11-162; F11-163; F11-164; F11-165; F11-166; F11-167; F11-168; F11-169; F11-170; F11-171; F11-172; F11-173; F11-174; F11-175; F11-176; F11-178; F11-179; F11-180; F11-181; F11-182; F11-183; F11-184; F11-185; F11-186; F11-187; F11-188; F11-189; F11-190; F11-191; F11-192; F11-193; F11-194; F11-195; F11-196; F11-197; F11-198; F12-001; F12-002; F12-003; F12-004; F12-005; F12-006; F12-007; F12-008; F12-009; F12-010; F12-011; F12-012; F12-013; F12-014; F12-015; F12-016; F12-017; F12-018; F12-019; F12-020; F12-021; F12-022; F12-023; F12-024; F12-025; F12-026; F12-027; F12-028; F12-029; F12-030; F12-031; F12-032; F12-033; F12-034; F12-035; F12-036; F12-037; F12-038; F12-039; F12-040; F12-041; F12-042; F12-044; F12-045; F12-046; F12-047; F12-048; F12-049; F12-050; F12-051; F12-052; F12-053; F12-054; F12-055; F12-056; F12-057; F12-058; F12-060; F12-061; F12-062; F12-063; F12-064; F12-065; F12-066; F12-067; F12-068; F12-069; F12-070; F12-071; F12-072; F12-073; F12-074; F12-075; F12-076; F12-077; F12-078; F12-079; F12-080; F12-081; F12-082; F12-083; F12-084; F12-085; F12-086; F12-087; F12-088; F12-089; F12-090; F12-091; F12-092; F12-093; F12-094; F12-095; F12-096; F12-097; F12-098; F12-099; F12-100; F12-101; F12-102; F12-103; F12-104; F12-105; F12-106; F12-107; F12-108; F12-109; F12-110; F12-111; F12-112; F12-113; F12-114; F12-115; F12-116; F12-117; F12-118; F12-119; F12-120; F12-121; F12-122; F12-123; F12-124; F12-125; F12-126; F12-127; F12-128; F12-129; F12-130; F12-131; F12-132; F12-133; F12-134; F12-135; F12-136; F12-137; F12-138; F12-139; F12-140; F12-141; F12-142; F12-143; F12-144; F12-145; F12-146; F12-147; F12-148; F12-149; F12-150; F12-151; F12-153; F12-154; F12-155; F12-156; F12-157; F12-158; F12-159; F12-160; F12-161; F12-162; F12-163; F12-164; F12-165; F12-166; F12-167; F12-168; F12-169; F12-170; F12-171; F12-172; F12-173; F12-174; F12-175; F12-176; F12-177; F12-178; F12-179; F12-180; F12-181; F12-182; F12-183; F12-184; F12-185; F12-186; F12-187; F12-188; F12-189; F12-190; F12-191; F12-192; F12-193; F12-194; F12-195; F12-196; F12-197; F12-198; F12-199; F12-200; F12-201; F12-202; F12-203; F12-204; F12-205; F12-206; F12-207; F12-208; F12-209; F12-210; F12-211; F12-212; F12-213; F12-214; F12-215; F12-216; F12-217; F12-218; F12-219; F12-220; F12-221; F12-222; F12-223; F12-224; F12-225; F12-226; F12-227; F12-228; F12-229; F12-230; F12-231; F12-232; F12-233; F12-234; F12-235; F12-236; F12-237; F12-238; F13-001; F13-002; F13-003; F13-004; F13-005; F13-006; F13-007; F13-008; F13-009; F13-010; F13-011; F13-012; F13-013; F13-014; F13-015; F13-016; F13-017; F13-018; F13-019; F13-020; F13-021; F13-022; F13-023; F13-024; F13-025; F13-026; F13-027; F13-028; F13-029; F13-030; F13-031; F13-032; F13-033; F13-034; F13-035; F13-036; F13-037; F13-038; F13-039; F13-040; F13-042; F13-043; F13-044; F13-045; F13-046; F13-047; F13-048; F13-049; F13-051; F13-052; F13-053; F13-054; F13-055; F13-056; F13-057; F13-058; F13-059; F13-060; F13-061; F13-062; F13-063; F13-064; F13-065; F13-066; F13-067; F13-068; F13-069; F13-070; F13-071; F13-072; F13-073; F13-074; F13-075; F13-076; F13-077; F13-078; F13-079; F13-080; F13-081; F13-082; F13-084; F13-085; F13-086; F13-087; F13-088; F13-089; F13-090; F13-092; F13-093; F13-094; F13-095; F13-096; F13-097; F13-098; F13-099; F13-100; F13-101; F13-102; F13-103; F13-104; F13-105; F13-106; F13-107; F13-108; F13-109; F13-110; F13-111; F13-112; F13-113; F13-114; F13-115; F13-116; F13-117; F13-118; F13-119; F13-120; F13-121; F13-122; F13-123; F13-124; F13-125; F13-126; F13-127; F13-129; F13-130; F13-131; F13-132; F13-133; F13-134; F13-135; F13-136; F13-137; F13-138; F13-139; F13-140; F13-141; F13-142; F13-143; F13-144; F13-145; F13-146; F13-147; F13-148; F13-149; F13-150; F13-151; F13-152; F13-153; F13-154; F13-155; F13-156; F13-157; F13-158; F13-159; F13-160; F13-161; F13-162; F13-163; F13-164; F13-165; F13-166; F13-167; F13-168; F13-169; F13-170; F13-171; F13-172; F13-173; F13-174; F13-175; F13-176; F13-177; F13-178; F13-179; F13-180; F13-181; F13-182; F13-183; F13-184; F13-185; F13-186; F13-187; F13-188; F13-189; F13-190; F13-191; F13-192; F13-193; F13-194; F13-195; F13-196; F13-197; F13-198; F13-199; F13-200; F13-201; F13-202; F13-203; F13-204; F13-205; F13-206; F13-207; F13-208; F13-209; F13-210; F13-211; F13-212; F13-213; F13-214; F13-215; F13-216; F13-217; F13-218; F13-219; F13-220; F13-221; F13-222; F13-223; F13-224; F13-225; F13-226; F13-227; F13-228; France; HAND; Latitude of event; Lithologic unit/sequence; Longitude of event; Name; Observation; Outcrop ID; Rock type; Sample comment; Sample type; Sampling by hand; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, error
    Type: Dataset
    Format: text/tab-separated-values, 15675 data points
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2024-06-04
    Description: The data set contains daily files of atmospheric radiation measured during zenith (mwr00) and boundary layer (mwrBL00) mode by the HATPRO microwave radiometer (see Rose et al., 2005) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. The atmospheric radiation measurements are given as brightness temperatures in seven K band (22.24 - 31.4 GHz) and seven V band (51.26 - 58 GHz) channels. The elevation scans have been perfomed approximately every 30 minutes while zenith measurements (elevation angle at 90 degrees) fill the remaining time. The brightness temperatures are provided for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity measurements at the instrument location as well as quality flags characterizing the instrument and retrieval performance.
    Keywords: AC3; Arctic; Arctic Amplification; Arctic Ocean; ATMOBS; Atmospheric Observatory; Binary Object; Binary Object (File Size); brightness temperatures; Comment; DATE/TIME; Event label; Hatpro; LATITUDE; LONGITUDE; microwave radiometer; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Other event; Polarstern; PS122; PS122/1; PS122/1_1-38; PS122/2; PS122/2_14-18; PS122/3; PS122/3_28-6; PS122/4; PS122/4_43-11; PS122/4_43-145; PS122/5; PS122/5_58-3; remote sensing
    Type: Dataset
    Format: text/tab-separated-values, 1392 data points
    Location Call Number Expected Availability
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  • 27
    Publication Date: 2024-06-04
    Description: The data set contains daily files of atmospheric radiation measured by the MiRAC-P (or LHUMPRO-243-340) microwave radiometer (see Mech et al., 2019) onboard the Polarstern during cruise PS122 (MOSAiC expedition). The data covers the range October 2019 to October 2020. The atmospheric radiation measurements are given as brightness temperatures in six double side band averaged G band (183.31 +/- 0.6 to 183.31 +/- 7.5 GHz) and two higher frequency (243 and 340 GHz) channels. The brightness temperatures are provided for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity measurements at the instrument location as well as quality flags characterizing the instrument and retrieval performance.
    Keywords: AC3; Arctic; Arctic Amplification; Arctic Ocean; ATMOBS; Atmospheric Observatory; Binary Object; Binary Object (File Size); brightness temperature; DATE/TIME; Event label; LATITUDE; LONGITUDE; microwave radiometer; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Other event; Polarstern; PS122; PS122/1; PS122/1_1-38; PS122/2; PS122/2_14-18; PS122/3; PS122/3_28-6; PS122/4; PS122/4_43-11; PS122/4_43-145; PS122/5; PS122/5_58-3; remote sensing
    Type: Dataset
    Format: text/tab-separated-values, 346 data points
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2024-06-04
    Description: The provided dataset contains surface water samples from lakes and ponds, streams and inflows in the Lucky Lake catchment (lake center coordinates: 72°17'56.1N; 126°10'29.7E) in the south of Kurungnakh Island, Lena River Delta, Russia. It includes concentrations of dissolved organic carbon (DOC) as well as stable isotopes of oxygen (δ¹⁸O) and hydrogen (δD). Samples of this dataset were collected during the Russian-German LENA expeditions in July and August 2013, June to September 2014, and in July 2016. For DOC measurements, we used the Shimadzu TOC-VCPH high-temperature catalytic combustion. Stable isotopes of oxygen (δ¹⁸O) and hydrogen (δD) were measured with a Finnigan MAT Delta-S mass spectrometer at the ISOLAB Isotope Facility AWI Potsdam.
    Keywords: aquatic carbon cycle; Arctic lakes; AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; Carbon, organic, dissolved; DATE/TIME; DEPTH, water; Deuterium excess; Event label; KUR16_W_13; KUR16_W_14; KUR16_W_15; KUR16_W_16; KUR16_W_23; LATITUDE; LD13_A_01; LD13_A_02; LD13_A_04; LD13_A_05; LD13_A_06; LD13_A_07; LD13_A_08; LD13_A_09; LD13_A_10; LD13_A_11; LD13_A_12; LD13_A_13; LD13_A_14; LD13_A_15; LD13_A_35; LD13_A_36; LD13_A_37; LD13_A_38; LD13_A_39; LD13_A_40; LD13_A_41; LD13_A_42; LD13_A_43; LD13_A_44; LD13_A_51; LD13_A_52; LD13_A_53; LD13_A_54; LD13_A_55; LD13_A_56; LD13_A_57; LD13_A_58; LD13_A_61; LD13_A_62; LD13_S_01; LD13_S_03; LD13_S_06; LD13_S_09; LD13_S_10; LD13_S_15; LD13_S_27; LD13_S_30; LD13_S_37; LD13_S_40; LD13_S_41; LD13_S_42; LD13_S_49; LD13_S_52; LD13_S_53; LD14_45; LD14_46; LD14_47; LD14_48; LD14_49; LD14_50; LD14_A_01; LD14_A_02; LD14_A_03; LD14_A_04; LD14_A_05; LD14_A_06; LD14_A_07; LD14_A_08; LD14_A_09; LD14_A_10; LD14_A_11; LD14_A_13; LD14_A_14; LD14_A_39; LD14_A_41; LD14_A_68; LD14_A_69; LD14_A_70; LD14_A_71; LD14_A_72; LD14_A_73; LD14_A_74; LD14_A_75; LD14_A_76; LD14_A_77; LD14_A_78; LD14_A_79; LD14_A_81; LD14_A_83; LD14_B_01; LD14_B_21; LD14_B_22; LD14_T_13; LD14_T_14; LD14_T_15; LD14_T_16; LD14_T_18; LD14_T_19; LD14_T_20; LD14_T_21; LD14_T_22; LD14_T_24; LD14_T_25; LD14_T_27; Lena2013; Lena2016_spring, Lena2016_summer; Lena Delta, Siberia, Russia; Lena River Delta, Russia; LONGITUDE; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); MULT; Multiple investigations; Permafrost; Permafrost Research; PETA-CARB; Polar Terrestrial Environmental Systems @ AWI; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2013_Lena; RU-Land_2014_Lena; RU-Land_2016_Lena; Shimadzu TOC-VCPH total organic carbon analyzer SN H51304730370CS (ISOLAB); Siberia; thermokarst lakes; δ18O, standard deviation; δ18O, water; δ Deuterium, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 599 data points
    Location Call Number Expected Availability
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  • 29
    Publication Date: 2024-06-04
    Description: The dataset comprises stable water isotopes and conductitities of a lead case study during leg 5 of the MOSAiC campaign. Samples have been taken from different water and ice types for this lead case study. Discrete water samples were taken using a peristaltic pump (Masterflex E/S Portable Sampler, Masterflex, USA) through a 2 m long PTFE tube (L/S Pump Tubing, Masterflex, USA). Water samples for measurement of stable water isotopes (δ18O, δD,) were collected in 50-mL glass screw-cap narrow-neck vials (VWR international LLC, Germany). Snow on the sea ice was sampled with a polyethylene shovel (GL Science Inc., Tokyo, Japan) and placed into a polyethylene zip-loc bag. Ice in the lead was collected and a 0.25 m ' 0.25 m ice block was cut with a hand saw and placed into a zip-lock bag. Ice temperature at the surface was measured with a needle-type temperature sensor (Testo 110 NTC, Brandt Instruments, Inc., USA). Two ice cores from the bottom of a melt pond were collected, using an ice corer with an inner diameter of 0.09 m (Mark II coring system, KOVACS Enterprises, Inc., USA). The cores were cut with a stainless steel saw into 0.1 m thick sections and stored in plastic bags for subsequent salinity and δ18O measurements. Snow and ice samples were immediately placed in a cooler box along with refrigerants to keep their temperature low and to minimize brine drainage. Onboard Polarstern, ice samples were transferred into ice melting bags (Smart bags PA, AAK 5L, GL Sciences Inc., Japan) and melted in the dark at +4°C. After the ice melted, the meltwater was placed in a 30-mL glass screw-cap vial for later stable water isotope measurement and into a 100-mL polypropylene bottle (I-Boy, AS ONE Corporation, Japan) for later salinity measurement. These samples were stored at +4°C in the dark until analysis. Under-ice water samples (from about 10 m depth) were collected via R/V Polarstern's underway water sampling system during leg 5. Samples were placed into 250-mL glass vials (Duran Co. Ltd, Germany) for later δ18O and salinity measurements. Salinity of collected samples was determined with a same conductivity sensor used on sea ice (Cond 315i, WTW GmbH, Germany). Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (hdl:10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): hdl:10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 and hdl:10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
    Keywords: Arctic Ocean; AWI_Envi; AWI_Perma; Calculated after Dansgaard (1964); Chamber for gas sampling; CHAMGAS; Comment; Conductivity sensor Cond 315i, WTW GmbH, Germany; DATE/TIME; DEPTH, ice/snow; DEPTH, water; Deuterium excess; Event label; freshwater; IC; Ice corer; Latitude of event; leads; Leg 5; Longitude of event; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Permafrost Research; Polarstern; Polar Terrestrial Environmental Systems @ AWI; PS122/5; PS122/5_59-343; PS122/5_59-389; PS122/5_59-392; PS122/5_59-446; PS122/5_59-447; PS122/5_60-130; PS122/5_60-133; PS122/5_60-146; PS122/5_60-16; PS122/5_60-260; PS122/5_60-61; PS122/5_61-126; PS122/5_61-205; PS122/5_61-206; PS122/5_62-117; PS122/5_62-120; PS122/5_62-35; PS122/5_62-40; PS122/5_62-42; PS122/5_62-5; Salinity; Sample code/label; Sample ID; Sample type; Sea ice; snow; SNOW; Snow/ice sample; Station label; Water sample; WS; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 838 data points
    Location Call Number Expected Availability
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  • 30
    Publication Date: 2024-06-04
    Description: Snow samples were collected from several locations on the main MOSAiC ice floe on weekly basis. Snow samples for measurement of stable water isotopes (δ18O, δD,) were collected in three different layers (top, middle, bottom) using a metal density cutter. At first, samples were stored in sealed plastic bags and the air was squeezed out before closing the bags. At later stages of the expedition, samples were stored in plastic cups with lids. Later the samples were thawed completely at room temperature and poured into 20 ml glass vials and sealed with parafilm tape and stored at 4°C. Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c. employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
    Keywords: Arctic Ocean; Calculated after Dansgaard (1964); Comment; DATE/TIME; DEPTH, water; Deuterium excess; Event label; Height, relative, from ice/snow line, maximum; Height, relative, from ice/snow line, minimum; IC; Ice corer; isotopes; Layer description; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-35; PS122/1_10-38; PS122/1_10-5; PS122/1_11-23; PS122/1_4-10; PS122/1_5-5; PS122/1_5-92; PS122/1_5-93; PS122/1_5-95; PS122/1_6-10; PS122/1_6-136; PS122/1_6-140; PS122/1_6-34; PS122/1_6-6; PS122/1_6-61; PS122/1_7-105; PS122/1_7-106; PS122/1_7-12; PS122/1_7-89; PS122/1_8-110; PS122/1_8-24; PS122/1_8-33; PS122/1_8-79; PS122/1_9-23; PS122/1_9-31; PS122/1_9-39; PS122/1_9-65; PS122/2; PS122/2_16-9; PS122/2_17-109; PS122/2_17-16; PS122/2_18-17; PS122/2_18-66; PS122/2_19-144; PS122/2_19-28; PS122/2_19-9; PS122/2_19-92; PS122/2_20-36; PS122/2_20-4; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-96; PS122/2_22-5; PS122/2_22-6; PS122/2_22-73; PS122/2_23-2; PS122/2_23-34; PS122/2_23-73; PS122/2_23-74; PS122/2_23-9; PS122/2_24-14; PS122/2_24-15; PS122/2_24-35; PS122/2_24-86; PS122/2_25-22; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_31-44; PS122/3_31-55; PS122/3_31-64; PS122/3_31-65; PS122/3_31-91; PS122/3_32-5; PS122/3_32-88; PS122/3_32-92; PS122/3_33-53; PS122/3_33-65; PS122/3_33-66; PS122/3_34-34; PS122/3_34-45; PS122/3_35-23; PS122/3_35-53; PS122/3_35-56; PS122/3_36-14; PS122/3_36-178; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-41; PS122/3_37-57; PS122/3_38-1; PS122/3_38-141; PS122/3_38-4; PS122/3_38-51; PS122/3_39-46; PS122/3_39-48; PS122/3_39-88; PS122/3_39-92; PS122/4; PS122/4_44-157; PS122/4_44-215; PS122/4_44-216; PS122/4_44-47; PS122/4_46-32; PS122/4_46-50; PS122/4_47-23; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/5; PS122/5_59-204; PS122/5_59-313; PS122/5_60-2; PS122/5_60-91; PS122/5_61-25; PS122/5_62-124; PS122/5_62-44; Sample code/label; Sample ID; Sample type; snow; SNOWPIT; Snow pit; Snow sampler metal; SSM; Station label; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2717 data points
    Location Call Number Expected Availability
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  • 31
    Publication Date: 2024-06-04
    Description: Underway seawater samples have been taken from underneath the research vessel Polarstern through a pipe installed on the ship. The valve had been open for about 2 minutes before collecting the samples to avoid possible contaminations. Water samples for measurement of stable water isotopes (δ18O, δD,) were collected in narrow-mouth low-density polyethylene 20- or 30-mL plastic bottles (VWR international LLC, Germany), sealed with Parafilm M and stored at +4 °C from the end of the expedition until the measurement. Average daily salinity values were extracted from dship portal (https://dship.awi.de/). Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
    Keywords: Arctic Ocean; Calculated after Dansgaard (1964); Comment; DATE/TIME; DEPTH, water; Deuterium excess; Event label; isotopes; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Polarstern; PS122/1; PS122/1_10-111; PS122/1_10-2; PS122/1_10-25; PS122/1_10-32; PS122/1_10-52; PS122/1_10-77; PS122/1_10-93; PS122/1_11-15; PS122/1_11-28; PS122/1_11-4; PS122/1_11-42; PS122/1_7-111; PS122/1_7-95; PS122/1_8-100; PS122/1_8-119; PS122/1_8-15; PS122/1_8-26; PS122/1_8-4; PS122/1_8-84; PS122/1_9-103; PS122/1_9-15; PS122/1_9-29; PS122/1_9-45; PS122/1_9-56; PS122/1_9-92; PS122/2; PS122/2_15-6; PS122/2_15-8; PS122/2_16-14; PS122/2_16-29; PS122/2_16-37; PS122/2_16-53; PS122/2_16-61; PS122/2_16-8; PS122/2_17-17; PS122/2_17-2; PS122/2_17-25; PS122/2_17-42; PS122/2_17-67; PS122/2_17-75; PS122/2_17-97; PS122/2_18-15; PS122/2_18-2; PS122/2_18-23; PS122/2_18-39; PS122/2_18-58; PS122/2_18-75; PS122/2_18-90; PS122/2_19-114; PS122/2_19-17; PS122/2_19-2; PS122/2_19-33; PS122/2_19-58; PS122/2_19-80; PS122/2_19-90; PS122/2_20-1; PS122/2_20-111; PS122/2_20-13; PS122/2_20-29; PS122/2_20-50; PS122/2_20-75; PS122/2_20-99; PS122/2_21-11; PS122/2_21-112; PS122/2_21-123; PS122/2_21-50; PS122/2_21-69; PS122/2_21-85; PS122/2_22-14; PS122/2_22-2; PS122/2_22-31; PS122/2_22-64; PS122/2_22-84; PS122/2_22-95; PS122/2_23-1; PS122/2_23-11; PS122/2_23-33; PS122/2_23-49; PS122/2_23-66; PS122/2_23-86; PS122/2_24-20; PS122/2_24-30; PS122/2_24-41; PS122/2_24-48; PS122/2_24-5; PS122/2_24-71; PS122/2_24-82; PS122/2_25-101; PS122/2_25-29; PS122/2_25-43; PS122/2_25-5; PS122/2_25-56; PS122/2_25-75; PS122/2_25-88; PS122/3; PS122/3_29-21; PS122/3_29-36; PS122/3_29-51; PS122/3_29-6; PS122/3_29-60; PS122/3_29-7; PS122/3_29-81; PS122/3_30-18; PS122/3_30-23; PS122/3_30-35; PS122/3_30-52; PS122/3_30-6; PS122/3_30-66; PS122/3_30-83; PS122/3_31-13; PS122/3_31-16; PS122/3_31-28; PS122/3_31-46; PS122/3_31-54; PS122/3_31-60; PS122/3_31-78; PS122/3_32-1; PS122/3_32-21; PS122/3_32-37; PS122/3_32-48; PS122/3_32-60; PS122/3_32-72; PS122/3_33-15; PS122/3_33-35; PS122/3_33-50; PS122/3_33-64; PS122/3_33-79; PS122/3_33-8; PS122/3_33-93; PS122/3_34-1; PS122/3_34-12; PS122/3_34-26; PS122/3_34-35; PS122/3_34-47; PS122/3_34-61; PS122/3_34-74; PS122/3_35-103; PS122/3_35-17; PS122/3_35-3; PS122/3_35-35; PS122/3_35-52; PS122/3_35-75; PS122/3_35-89; PS122/3_36-1; PS122/3_36-110; PS122/3_36-13; PS122/3_36-135; PS122/3_36-34; PS122/3_36-55; PS122/3_36-72; PS122/3_37-112; PS122/3_37-12; PS122/3_37-2; PS122/3_37-23; PS122/3_37-42; PS122/3_37-67; PS122/3_37-90; PS122/3_38-113; PS122/3_38-22; PS122/3_38-26; PS122/3_38-37; PS122/3_38-48; PS122/3_38-67; PS122/3_38-88; PS122/3_39-1; PS122/3_39-14; PS122/3_39-29; PS122/3_39-49; PS122/3_39-68; PS122/3_39-76; PS122/3_39-85; PS122/3_40-1; PS122/3_40-13; PS122/3_40-22; PS122/3_40-30; PS122/3_40-35; PS122/3_40-45; PS122/3_40-7; PS122/3_41-13; PS122/3_41-20; PS122/3_41-27; PS122/3_41-38; PS122/3_41-4; PS122/3_41-42; PS122/3_41-48; PS122/3_42-1; PS122/3_42-12; PS122/3_42-21; PS122/3_42-27; PS122/3_42-33; PS122/3_42-43; PS122/3_42-52; PS122/3_42-58; PS122/3_42-6; PS122/3_42-67; PS122/4; PS122/4_44-123; PS122/4_44-131; PS122/4_44-146; PS122/4_44-160; PS122/4_44-175; PS122/4_44-19; PS122/4_44-194; PS122/4_44-28; PS122/4_44-34; PS122/4_44-54; PS122/4_44-64; PS122/4_44-80; PS122/4_44-85; PS122/4_44-96; PS122/4_45-111; PS122/4_45-133; PS122/4_45-14; PS122/4_45-6; PS122/4_45-65; PS122/4_45-90; PS122/4_46-124; PS122/4_46-22; PS122/4_46-5; PS122/4_46-51; PS122/4_46-67; PS122/4_46-96; PS122/4_47-105; PS122/4_47-118; PS122/4_47-24; PS122/4_47-37; PS122/4_47-5; PS122/4_47-70; PS122/4_47-88; PS122/4_48-119; PS122/4_48-149; PS122/4_48-156; PS122/4_48-18; PS122/4_48-48; PS122/4_48-68; PS122/4_49-23; PS122/4_49-24; PS122/4_49-28; PS122/4_49-58; PS122/4_49-67; PS122/4_49-82; PS122/4_49-96; PS122/4_50-12; PS122/4_50-22; PS122/4_50-3; PS122/4_50-34; PS122/4_50-44; PS122/4_50-53; PS122/4_50-59; PS122/4_50-62; PS122/5; PS122/5_59-11; PS122/5_59-133; PS122/5_59-151; PS122/5_59-167; PS122/5_59-179; PS122/5_59-199; PS122/5_59-220; PS122/5_59-247; PS122/5_59-26; PS122/5_59-266; PS122/5_59-287; PS122/5_59-323; PS122/5_59-341; PS122/5_59-36; PS122/5_59-361; PS122/5_59-379; PS122/5_59-4; PS122/5_59-59; PS122/5_59-65; PS122/5_60-11; PS122/5_60-116; PS122/5_60-140; PS122/5_60-169; PS122/5_60-35; PS122/5_60-50; PS122/5_60-73; PS122/5_61-106; PS122/5_61-141; PS122/5_61-184; PS122/5_61-208; PS122/5_61-244; PS122/5_61-3; PS122/5_61-34; PS122/5_62-111; PS122/5_62-133; PS122/5_62-150; PS122/5_62-171; PS122/5_62-63; PS122/5_62-8; PS122/5_62-86; PS122/5_63-115; PS122/5_63-123; PS122/5_63-134; PS122/5_63-144; PS122/5_63-27; PS122/5_63-52; PS122/5_63-6; PS122/5_63-66; PS122/5_63-7; PS122/5_63-78; PS122/5_63-93; Salinity; Sample code/label; Sample ID; Sample type; seawater; see abstract; Station label; Surface water sample; SWS; Tap; TAP; Water sample; WS; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2375 data points
    Location Call Number Expected Availability
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  • 32
    Publication Date: 2024-06-04
    Description: Helicopter position (latitude, longitude, altitude) and attitude (pitch, roll, true heading) were measured by an inertial measurement unit (IMU-57) as part of the combined global navigation satellite system (GNSS) and inertial navigation system (INS) Applanix AP60-Air (hdl:10013/sensor.a9fee346-91e7-4eed-9f2f-89f1368e53a0). The IMU received input signal from two AV39 GNSS antennae installed on the forward and aft cowlings on top of the main cabin of the helicopter. The IMU was mounted in the rear cargo compartment on a sensor plate together with the airborne laser scanner and the sensor plate was connected with dampeners to the helicopter airframe. The helicopter flights in this data set include surveys where the airborne laser scanner was operated 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. They 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 pattern, or transect flights. The position and attitude data were collected to aid the processing of data from the instruments onboard like the airborne laser scanner (Jutila et al., 2022; doi:10.1594/PANGAEA.950509), the infrared camera (Thielke et al., 2022; doi:10.1594/PANGAEA.941017), and the RGB camera (Neckel et al., 2022; doi:10.1594/PANGAEA.949433). The GPS/INS data was post-processed using Applanix software POSPac Mobile Mapping Suite (MMS) 8.3 and resulted in the 200 Hz precise point positioning (PPP) solution. The post-processed positions correspond to the location of the IMU in the aircraft reference frame in the cargo compartment of the helicopter. For a set of high latitude flights, the post-processing failed due to the low signal-to-noise of the horizontal component of the Earth's rotation rate. In this case only the 10 Hz real time navigation (RTNav) solution is provided. The positioning and altitude error for the real time can be metres, while the post-processed 200 Hz solution has an accuracy of decimetres. The challenging nature of GNSS (limited satellite visibility, ionospheric interference) and inertial navigation means that the quality of the INS/GPS is degraded even after post-processing compared to lower latitude data.
    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; Arctic; Arctic Ocean; Binary Object; Binary Object (File Size); DATE/TIME; Event label; Flight number; GPS; HELI; Helicopter; IceSense; INS; LATITUDE; LONGITUDE; 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
    Type: Dataset
    Format: text/tab-separated-values, 134 data points
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  • 33
    Publication Date: 2024-06-04
    Description: The dataset compiles water isotope measurements of 66 lakes, sampled in Central and Eastern Yakutia during a summer field campaign in August and September 2021 (RU-Land_2021_Yakutia). Additionally, there are isotope data of a single rain event, received during the campaign. The investigated lakes are located in four different study areas in the Sakha Republic, Russia: in the mountainous region of the Verkhoyansk Range within the Oymyakonsky and Tomponsky District (EN21401 - EN21415), and in three lowland regions of Central Yakutia within the Churapchinsky, Tattinsky and the Megino-Kangalassky District (Event EN21416 - EN21467). One lake (EN21160) is centrally located in the city of Yakutsk, the capital of the Sakha Republic. Baisheva et al. (2022) gives an overview of the lakes studied and the corresponding hydrochemistry. Surface water samples (0 – 0.5 m) for measurement of stable water isotopes (δ18O, δD) have been taken for all lakes. If the lakes were deeper than five meters (≥ 5 m), water samples of the middle and bottom water (MW, BW) of the lake were taken, too. Where it was available and reachable, there are also water isotope data from in- or outflow (IF, OF). For two greater lakes, there are one or even more depth profiles composed of several isotope samples from different depths (EN21112, EN21116, EN21124¸ EN21160; numbers at the end indicate different sampling depths). There were two different methods of sampling: Either water for isotope measurements was directly sampled from the lake into 30 ml narrow-mouth PE bottles, filled to the top and closed tightly. Otherwise water samples were taken with an UWITEC water sampler (2 L), filled into a larger sample container (2 L Whirl-Pak®) and subsampled in 30 ml narrow-mouth PE bottles as soon as possible afterwards. The single rain event was sampled on the 22nd of August 2021 at one of the field camp sites, close to the lake EN21427. A dry, clean plastic container was placed outside for receiving the rain. The subsampling was done immediately after the event by rinsing it into 30 ml narrow-mouth PE bottles, filled to the top and closed tightly. All samples were stored cool and dark as soon as possible until analysis. All data were collected and processed by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), Germany, the University of Potsdam, Germany, and the North-Eastern Federal University of Yakutsk (NEFU), Russia. Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at Alfred Wegener Institute in Potsdam (hdl:10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): hdl:10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 and hdl:10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values are given in per mill (‰) vs. Vienna Standard Mean Ocean Water (VSMOW) as the standard. N indicates the number of measurements per sample. If N 〉 1, the mean isotope value of the sample was calculated from the individual measurement results. The standard deviation includes all measurements of the individual sample, which is generally better than the external (or machine) error. The external errors of long-term standard measurements for hydrogen and oxygen are better than 0.8‰ and 0.10‰, respectively (Meyer et al., 2000). The second order parameter d excess was computed according to: d excess = δD – 8 * δ18O (Dansgaard, 1964). For the calculation of d excess, the respective mean values were used.
    Keywords: AWI_Envi; AWI Arctic Land Expedition; Calculated after Dansgaard (1964); Central Yakutia; Churapchinsky District; Comment; DATE/TIME; Depth, bathymetric; DEPTH, water; Deuterium excess; d excess; ELEVATION; EN21160; EN21401; EN21402; EN21403; EN21404; EN21405; EN21406; EN21407; EN21408; EN21409; EN21410; EN21411; EN21412; EN21413; EN21414; EN21415; EN21416; EN21417; EN21418; EN21419; EN21420; EN21421; EN21422; EN21423; EN21424; EN21425; EN21426; EN21427; EN21428; EN21429; EN21430; EN21431; EN21432; EN21433; EN21434; EN21435; EN21436; EN21437; EN21438; EN21439; EN21440; EN21441; EN21442; EN21443; EN21444; EN21445; EN21446; EN21447; EN21448; EN21449; EN21450; EN21451; EN21452; EN21453; EN21454; EN21455; EN21456; EN21457; EN21458; EN21459; EN21462; EN21463; EN21464; EN21465; EN21466; EN21467; Event label; lake; LAKE; Landform; LATITUDE; Location; LONGITUDE; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); Megino-Kangalassky District; Number of observations; Oymyakonsky District; Polar Terrestrial Environmental Systems @ AWI; RU-Land_2021_Yakutia; Russia; Sample ID; Sampling lake; Siberia; stabe isotopes; stable oxygen and hydrogen isotopes; Tattinsky District; thermokarst lakes; Tomponsky District; Type; water isotopes; Yakutia; Yakutsk; δ18O, water; δ18O, water, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1480 data points
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  • 34
    Publication Date: 2024-06-04
    Description: The dataset comprises the main geochemical characteristics of purified lake sediment samples from Lake Bolshoye Shchuchye, in the Polar Ural based on EDS and stable isotope data. Moreover, core segment (column A), composite depth (in cm; column B); calibrated age (in cal ka BP; column C) are given. Details on coring and age model are given in Lenz et al. (2021) Energy-Dispersive X-ray Spectroscopy (EDS) was carried out with a scanning electron microscope (SEM) at the German Research Centre for Geosciences (GFZ Potsdam, Germany) to assess contamination of all diatom samples (following Chapligin et al., 2012). Three replicate analyses were carried out with an excited-area size with a radius of ~200 μm at an acceleration voltage of 20.0 kV. All detectable elements were normalized to 100% weight. The results were expressed as weight percentages (in %) and displayed as oxides: SiO2 content (%); Al2O3 content (%); Na2O content (%); MgO content (%); K2O content (%); CaO content (%); MnO content (%); FeO content (%): Total sum (%) of the purified sediment sample (columns D to L). Details are given in Meyer et al. (2022) The diatom oxygen isotope composition (δ18Odiatom) from lacustrine sediments helps tracing the hydrological and climate dynamics in individual lake catchments. The oxygen isotope data has been generated in the ISOLAB Facility Potsdam including all d18Odiatom values (all in ‰ vs. VSMOW). The measured δ18O values (δ18Omeas), the standard deviation (SD) and number of replicates (N) are given (columns M to O), as well as the calculated contamination (ccont; in %) and δ18O values corrected for contamination (δ18Ocorr) (columns P to Q). The details of the contamination correction and isotope analytics are given in Meyer et al. (2022)
    Keywords: AGE; Aluminium oxide; biogenic silica; Calcium oxide; chironomid-inferred temperature reconstructions; Climate change; Co1321; Contamination; Core; Corrected; DEPTH, sediment/rock; Diatom; Diatoms, δ18O; Diatoms, δ18O, standard deviation; hydrological fluctuations; Iron oxide, FeO; Isotope ratio mass spectrometry; Lake Bolshoye Shchuchye, Polar Urals, Russia; Lake sediment; Magnesium oxide; Manganese oxide; oxygen isotopes; Paleolimnological Transect; PCUWI; Piston corer, UWITEC; PLOT; Potassium oxide; Replicates; Scanning electron microscope (SEM) equipped with electron-dispersive x-ray spectroscopy (EDX); Silicon dioxide; Sodium oxide; Total; δ18O, adjusted/corrected
    Type: Dataset
    Format: text/tab-separated-values, 720 data points
    Location Call Number Expected Availability
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  • 35
    Publication Date: 2024-06-04
    Description: Seawater samples have been taken from the station Ocean City on the main MOSAiC ice floe on legs 1, 2, and 3. Water samples for measurement of stable water isotopes (δ18O, δD) were collected in 50-mL glass screw-cap narrow-neck vials (VWR international LLC, Germany), sealed with Parafilm M and stored at +4 °C from the end of the expedition until the measurement. Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
    Keywords: Arctic Ocean; Calculated after Dansgaard (1964); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Deuterium excess; Event label; isotopes; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-45; PS122/1_11-40; PS122/1_2-68; PS122/1_4-37; PS122/1_5-46; PS122/1_6-38; PS122/1_7-40; PS122/1_8-16; PS122/1_9-28; PS122/2; PS122/2_18-16; PS122/2_19-4; PS122/2_20-17; PS122/2_21-101; PS122/2_21-114; PS122/2_21-128; PS122/2_21-26; PS122/2_22-18; PS122/2_22-3; PS122/2_22-71; PS122/2_23-17; PS122/2_23-4; PS122/2_23-70; PS122/2_24-47; PS122/2_25-4; PS122/3; PS122/3_29-74; PS122/3_29-8; PS122/3_30-38; PS122/3_30-9; PS122/3_31-18; PS122/3_31-81; PS122/3_32-12; PS122/3_32-77; PS122/3_33-82; PS122/3_34-17; PS122/3_34-76; PS122/3_35-25; PS122/3_35-92; PS122/3_36-115; PS122/3_36-19; PS122/3_37-116; PS122/3_37-15; PS122/3_38-100; PS122/3_38-31; PS122/3_39-16; Sample code/label; Sample ID; Sample type; seawater; Station label; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 762 data points
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  • 36
    Publication Date: 2024-06-04
    Description: Snow samples of the upper 10 cm were taken between 14 May and 3 August 2018 next to the EastGRIP deep drilling site in northeast Greenland situated in the accumulation zone of the Greenland Ice Sheet. All samples were measured for their stable water isotope composition (δ18O, δD, d-excess). Samples were taken at 30 positions along a 39 m long transect. The first 20 samples had a spacing of 1 m and the remaining 10 samples had a spacing of 2 m. Sampling was performed every third day for three depth intervals (0-1 cm, 1-4 cm, 4-10 cm) with two one-week periods with daily sampling. The first period was from 8 to 14 June with a sampling of six depth intervals (0-1 cm, 1-2 cm, 2-4 cm, 4-6 cm, 6-8 cm, 8-10 cm) at ten locations (4 m spacing). The second period was from 24 to 30 July with a sampling of six depth intervals (0-0.5 cm, 0.5-1 cm, 1-2 cm, 2-4 cm, 4-6 cm, 6-10 cm) at 25 positions (position 1 - 10 with 1 m spacing, afterwards 2 m spacing). The depth indication in the data set always refers to the mean of each sampling interval. All samples were airtightly stored in high-purity sampling bags (®Whirl-Paks) and kept frozen until measurement. In the same area, a photogrammetry structure-from-motion approach was performed to generate digital elevation models for each day (Zuhr et al., 2022: https://doi.org/10.5194/tc-15-4873-2021, https://doi.org/10.1594/PANGAEA.936082, https://doi.org/10.1594/PANGAEA.923418). Thus, every sampling position has a depth indication, relative to the snow height of the entire transect. About 70 % of the samples were measured in the ISOLAB Facility at the Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Potsdam, Germany. The samples were measured with an L2140-i CRDS device from Picarro Inc. with a high-throughput vaporizer. All data were corrected for memory and instrumental drift and calibrated on the VSMOW-SLAP scale following van Geldern and Barth (2012) using the calibration algorithm described in Münch et al. (2016). The mean measurement uncertainty for δ18O and δD derived from an independent quality control standard was 0.09 and 0.8 ‰, respectively. The ISOLAB Facility metadata is part of the sensor web: Sensor (2022): Metadata for laboratory ISOLAB Facility - Stable Isotope Laboratory Potsdam at Current Version. hdl:10013/sensor.ddc92f54-4c63-492d-81c7-696260694001 Sensor (2022): Metadata for Isotopic Water Liquid Analyzer for the online determination of the hydrogen and oxygen isotopic composition in water samples using Cavity Ring-Down Spectroscopy (CRDS) L2140-i: https://sensor.awi.de?urn=laboratory:isolab_facility_potsdam:picarro_crds_l2140i_p About 30 % of the samples were measured in the Stable Isotope Laboratory of the institute for Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark. The vaporisation of the sample is performed using a high throughput, low volume vaporiser (Picarro-A0212 – discontinued model as of 2016). The raw isotope measurements are calibrated on the VSMOW-SLAP scale using a two fixed-point calibration similar to Gkinis et al. (2011) and following the IAEA recommended procedures. The mean measurement uncertainty for δ18O and δD derived from a quality control standard was 0.04 and 0.33 ‰, respectively. The detailed sample and data handling are described in Gkinis et al. (2021). All measurements from both laboratories are reported on the international VSMOW-SLAP (VSMOW and SLAP refer to the International Atomic Energy reference water materials and stand for Vienna Mean Ocean Water and Standard Light Antarctic Precipitation) isotope scale after careful calibration using local standards calibrated against the provided international reference materials.
    Keywords: AWI_SPACE; AWI Arctic Land Expedition; DATE/TIME; Day of the year; DEPTH, ice/snow; Depth, relative; Depth layer, ice/snow; Deuterium excess; Deuterium excess, standard deviation; EGRIP_2018_snow; GL-Land_2018_EGRIP; Greenland; POINT DISTANCE from start; Position; Sample code/label; Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint; SNOWISO; Snow pits/firn core/ice core; Space-time structure of climate change @ AWI; stable water isotopes; surface snow; δ18O, water; δ18O, water, standard deviation; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 40393 data points
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  • 37
    Publication Date: 2024-06-04
    Description: Sea ice cores were collected from the Biogeochemistry (BGC) team at different stations located on the main ice floe of MOSAiC expedition. Flat sea ice on the floe was categorized into three types based on the age: sea ice which grew during the same winter referred to as First-Year-Ice (FYI); sea ice which had survived one or more summer melting periods referred to as Second-Year-Ice (SYI). Sea ice cores were collected using a Kovacs Mark II 9 cm diameter corer. The core was extracted and placed in an aluminum holder equipped with a metric ruler. Using a standard Kovacs ice thickness gauge, the freeboard was taken and the length of the core was measured. The snow on top of the sea ice was brushed off the top of the cores to minimize the snow affecting the ice surface. Onboard RV Polarstern, the cores were cut in 10 cm sections using a handsaw at 4° C (leg 1) or an electric saw at -20° C (legs 2 and 3). Each section was transferred into a gas-tight TedlarTM bag. The closed bags were carefully degassed with a vacuum pump (NKF Neuberger, type N035). Melting occurred within 12 to 15 hours in a water bath in the dark. After shaking the melted ice within the TedlarTM bags, discrete sampling started by first rising the melt water carefully through a Tygon tube connected with the opened valves of the gas tide bags and then into prepared sample vials. Here we present the data from samples collected at Main Core Site (MCS) at the Dark Sector (DS). Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
    Keywords: Arctic Ocean; Calculated after Dansgaard (1964); DATE/TIME; DEPTH, ice/snow; Deuterium excess; Event label; IC; Ice corer; Mass spectrometer Finnigan MAT Delta-S (ISOLAB); Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-16; PS122/1_10-19; PS122/1_5-3; PS122/1_5-78; PS122/1_5-81; PS122/1_6-10; PS122/1_7-6; PS122/1_7-9; PS122/1_8-2; PS122/1_9-30; PS122/1_9-6; PS122/2; PS122/2_17-3; PS122/2_19-7; PS122/2_20-5; PS122/2_21-13; PS122/2_22-7; PS122/2_23-3; PS122/3; PS122/3_32-63; PS122/3_33-18; PS122/3_35-11; PS122/3_36-21; PS122/3_36-4; PS122/3_38-16; PS122/3_38-24; PS122/3_39-18; PS122/3_39-7; Salinity; Sample code/label; Sample ID; Sample type; Sea ice; Station label; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2179 data points
    Location Call Number Expected Availability
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  • 38
    Publication Date: 2024-06-04
    Description: Second-year sea-ice thickness, draft, salinity, temperature, and density were measured during near-weekly surveys at the main second-year ice coring site (MCS-SYI) during the MOSAiC expedition (legs 1 to 3) and new second-year ice coring site leg 4, since the earlier site was not accessible any longer. The ice cores were extracted either with a 9-cm (Mark II) or 7.25-cm (Mark III) internal diameter ice corers (Kovacs Enterprise, US). This data set includes data from 18 coring site visits and were performed from 28 October 2019 to 20 July 2020 at coring locations within 50 m to each other in the MOSAiC Central Observatory. During each coring event, ice temperature was measured in situ from a separate temperature core, using Testo 720 thermometers in drill holes with a length of half-core-diameter at 5-cm vertical resolution. Ice bulk practical salinity was measured from melted core sections at 5-cm resolution using a YSI 30 conductivity meter. Ice density was measured using the hydrostatic weighing method (Pustogvar and Kulyakhtin, 2016) from a density core in the freezer laboratory onboard Polarstern at the temperature of –15°C. Relative volumes of brine and gas were estimated from ice salinity, temperature and density using Cox and Weeks (1983) for cold ice and Leppäranta and Manninen (1988) for ice warmer than –2°C. The data contains the event label (1), time (2), and global coordinates (3,4) of each coring measurement and sample IDs (13, 15). Each salinity core has its manually measured ice thickness (5), ice draft (6), core length (7), and mean snow height (22). Each core section has the total length of its top (8) and bottom (9) measured in situ, as well estimated depth of section top (10), bottom (11), and middle (12). The depth estimates assume that the total length of all core sections is equal to the measured ice thickness. Each core section has the value of its practical salinity (14), isotopic values (16, 17, 18) (Meyer et al., 2000), as well as sea ice temperature (19) and ice density (20) interpolated to the depth of salinity measurements. The global coordinates of coring sites were measured directly. When it was not possible, coordinates of the nearby temperature buoy 2019T62 (legs 1-3) or 2019T61 (leg 4) were used. Ice mass balance buoy 2019T62 installation is described in doi:10.1594/PANGAEA.940231, ice mass balance buoy 2020T61 installation is described in doi: 10.1594/PANGAEA.926580. Brine volume (21) fraction estimates are presented only for fraction values from 0 to 30%. Each core section also has comments (23) describing if the sample is from a new coring site or has any other special characteristics. Macronutrients from the salinity core will be published in a subsequent version of this data set.
    Keywords: Arctic; Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Calculated; Comment; Core length; cores; DATE/TIME; density; Density, ice; Depth, adjusted; Depth, adjusted bottom; Depth, adjusted top; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Deuterium excess; Ecological monitoring; Event label; HAVOC; Hydrostatic weighing; IC; Ice corer; ICEGAUGE; Ice thickness gauge; Isotopic liquid water analyzer; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ECO; MOSAiC_ICE; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Physical properties; Polarstern; PS122/1; PS122/1_10-16; PS122/1_5-78; PS122/1_6-36; PS122/1_7-53; PS122/1_7-9; PS122/1_9-11; PS122/2; PS122/2_20-5; PS122/2_22-7; PS122/2_25-15; PS122/3; PS122/3_33-18; PS122/3_35-4; PS122/3_36-4; PS122/3_38-16; PS122/3_39-18; PS122/4; PS122/4_45-29; PS122/4_46-20; PS122/4_47-18; PS122/4_48-25; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Salinity; Temperature; Salinometer, inductive; Sample ID; Sea ice; Sea ice draft; Sea ice salinity; Sea ice thickness; Snow height; Tape measure; Temperature, ice/snow; Thermometer; time-series; Volume, brine; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 9395 data points
    Location Call Number Expected Availability
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  • 39
    Publication Date: 2024-06-04
    Description: During the MOSAiC expedition 2019-2020 atmospheric thermodynamic profile measurements have been conducted from a meteorological (Met) Tower on the sea ice, as well as via collocated radiosondes that were launched approximately every six hours from aboard Polarstern. While the radiosondes lack the lowermost 10 m above the sea ice, the Met Tower profile can be used to fill this gap (observations at 0, 2, 6 and 10 meters). This is a blended data product that merges the Met Tower profile (data version 3.4, doi:10.18739/A2PV6B83F) in the minute of the radiosonde launch with the radiosonde profile aloft (data version 3, doi:10.1594/PANGAEA.943870). Parameters included are temperature (T), relative humidity (RH), wind speed and -direction, and air pressure. The aim of this product is two-fold: (1) To provide comprehensive atmospheric profiles for each radiosonde launch, that additionally retain the lowermost meters of the atmospheric boundary layer above the sea ice and (2) to remove potential unrealistic T/RH values from the radiosonde profiles that can emerge in the lowermost 100 m due to the influence of the ship on the measurement. Examples for the latter are occasional warm anomalies due to the heat island effect of the ship, or elevated, vertically confined peaks that can arise from the ship's exhaust plume. The potential effect of the exhaust plume on the T profile is estimated by comparing the radiosonde at 30 m height to the concurring Polarstern meteorological observation (doi:10.1594/PANGAEA.935263 - doi:10.1594/PANGAEA.935267). Given the geometrical constellation of the Polarstern observation towards the bow of the ship and the sounding launch platform at the aft of the ship, and depending on the wind direction relative to the ship, it can be assumed that at least one of the T measurements is less impacted from the ship exhaust than the other, and is retained. In a next step, the 10 - 30 m height segment in T and RH is filled with a linear interpolation between the Met Tower at 10 m and the radiosonde observation at 30 m. When identified, remaining T/RH peaks in the lowermost 100 m of the profile are removed and filled with a linear interpolation from below to above the peak. T/RH flags are provided to indicate where the profiles have been manipulated from the original data, and to indicate the reason for missing data in the profile. Compared to the original profiles, this blended product adds value and quality control in the lowest 100 m, which makes it better suitable, for example, for boundary layer analyses.
    Keywords: Arctic Ocean; boundary layer; DATE/TIME; Event label; FLUX_TOWER; Flux tower; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Other event; Polarstern; Profile; PS122/1; PS122/1_10-103; PS122/1_10-105; PS122/1_10-106; PS122/1_10-107; PS122/1_10-108; PS122/1_10-134; PS122/1_10-135; PS122/1_10-21; PS122/1_10-22; PS122/1_10-23; PS122/1_10-24; PS122/1_10-28; PS122/1_10-29; PS122/1_10-3; PS122/1_10-30; PS122/1_10-31; PS122/1_10-4; PS122/1_10-53; PS122/1_10-54; PS122/1_10-56; PS122/1_10-57; PS122/1_10-73; PS122/1_10-74; PS122/1_10-75; PS122/1_10-76; PS122/1_10-94; PS122/1_10-95; PS122/1_10-99; PS122/1_11-10; PS122/1_11-29; PS122/1_11-30; PS122/1_11-31; PS122/1_11-32; PS122/1_11-33; PS122/1_11-43; PS122/1_11-44; PS122/1_11-45; PS122/1_11-46; PS122/1_11-5; PS122/1_11-6; PS122/1_11-7; PS122/1_11-8; PS122/1_11-9; PS122/1_1-299; PS122/1_2-10; PS122/1_2-100; PS122/1_2-101; PS122/1_2-102; PS122/1_2-103; PS122/1_2-104; PS122/1_2-105; PS122/1_2-106; PS122/1_2-107; PS122/1_2-11; PS122/1_2-110; PS122/1_2-111; PS122/1_2-112; PS122/1_2-113; PS122/1_2-115; PS122/1_2-116; PS122/1_2-117; PS122/1_2-118; PS122/1_2-119; PS122/1_2-12; PS122/1_2-120; PS122/1_2-121; PS122/1_2-122; PS122/1_2-123; PS122/1_2-127; PS122/1_2-135; PS122/1_2-136; PS122/1_2-137; PS122/1_2-139; PS122/1_2-141; PS122/1_2-142; PS122/1_2-143; PS122/1_2-144; PS122/1_2-145; PS122/1_2-146; PS122/1_2-147; PS122/1_2-148; PS122/1_2-149; PS122/1_2-150; PS122/1_2-16; PS122/1_2-160; PS122/1_2-161; PS122/1_2-162; PS122/1_2-163; PS122/1_2-17; PS122/1_2-171; PS122/1_2-172; PS122/1_2-173; PS122/1_2-174; PS122/1_2-179; PS122/1_2-180; PS122/1_2-181; PS122/1_2-182; PS122/1_2-184; PS122/1_2-185; PS122/1_2-186; PS122/1_2-187; PS122/1_2-188; PS122/1_2-189; PS122/1_2-190; PS122/1_2-191; PS122/1_2-192; PS122/1_2-193; PS122/1_2-20; PS122/1_2-204; PS122/1_2-205; PS122/1_2-21; PS122/1_2-27; PS122/1_2-28; PS122/1_2-29; PS122/1_2-31; PS122/1_2-32; PS122/1_2-33; PS122/1_2-34; PS122/1_2-36; PS122/1_2-37; PS122/1_2-38; PS122/1_2-39; PS122/1_2-4; PS122/1_2-41; PS122/1_2-42; PS122/1_2-43; PS122/1_2-44; PS122/1_2-49; PS122/1_2-5; PS122/1_2-51; PS122/1_2-52; PS122/1_2-53; PS122/1_2-54; PS122/1_2-55; PS122/1_2-56; PS122/1_2-59; PS122/1_2-6; PS122/1_2-60; PS122/1_2-61; PS122/1_2-62; PS122/1_2-69; PS122/1_2-7; PS122/1_2-70; PS122/1_2-71; PS122/1_2-72; PS122/1_2-73; PS122/1_2-74; PS122/1_2-75; PS122/1_2-76; PS122/1_2-77; PS122/1_2-78; PS122/1_2-79; PS122/1_2-80; PS122/1_2-81; PS122/1_2-82; PS122/1_2-83; PS122/1_2-86; PS122/1_2-87; PS122/1_2-88; PS122/1_2-9; PS122/1_2-91; PS122/1_2-92; PS122/1_2-93; PS122/1_2-94; PS122/1_4-19; PS122/1_4-20; PS122/1_4-21; PS122/1_4-22; PS122/1_4-30; PS122/1_4-31; PS122/1_4-32; PS122/1_4-33; PS122/1_4-35; PS122/1_4-36; PS122/1_4-4; PS122/1_4-5; PS122/1_4-6; PS122/1_4-7; PS122/1_4-8; PS122/1_4-9; PS122/1_5-10; PS122/1_5-11; PS122/1_5-12; PS122/1_5-13; PS122/1_5-20; PS122/1_5-21; PS122/1_5-22; PS122/1_5-23; PS122/1_5-31; PS122/1_5-32; PS122/1_5-33; PS122/1_5-34; PS122/1_5-36; PS122/1_5-37; PS122/1_5-38; PS122/1_5-39; PS122/1_5-49; PS122/1_5-50; PS122/1_5-51; PS122/1_5-52; PS122/1_5-6; PS122/1_5-7; PS122/1_5-72; PS122/1_5-73; PS122/1_5-74; PS122/1_5-75; PS122/1_5-79; PS122/1_5-80; PS122/1_6-112; PS122/1_6-113; PS122/1_6-114; PS122/1_6-115; PS122/1_6-12; PS122/1_6-125; PS122/1_6-126; PS122/1_6-13; PS122/1_6-14; PS122/1_6-15; PS122/1_6-24; PS122/1_6-25; PS122/1_6-26; PS122/1_6-27; PS122/1_6-3; PS122/1_6-53; PS122/1_6-54; PS122/1_6-55; PS122/1_6-56; PS122/1_6-71; PS122/1_6-72; PS122/1_6-73; PS122/1_6-74; PS122/1_6-82; PS122/1_6-83; PS122/1_6-84; PS122/1_6-85; PS122/1_7-100; PS122/1_7-101; PS122/1_7-102; PS122/1_7-107; PS122/1_7-108; PS122/1_7-109; PS122/1_7-110; PS122/1_7-113; PS122/1_7-114; PS122/1_7-13; PS122/1_7-14; PS122/1_7-26; PS122/1_7-27; PS122/1_7-29; PS122/1_7-30; PS122/1_7-43; PS122/1_7-44; PS122/1_7-45; PS122/1_7-46; PS122/1_7-63; PS122/1_7-64; PS122/1_7-65; PS122/1_7-66; PS122/1_7-83; PS122/1_7-84; PS122/1_7-85; PS122/1_7-86; PS122/1_7-99; PS122/1_8-101; PS122/1_8-11; PS122/1_8-115; PS122/1_8-116; PS122/1_8-117; PS122/1_8-118; PS122/1_8-12; PS122/1_8-120; PS122/1_8-121; PS122/1_8-13; PS122/1_8-14; PS122/1_8-39; PS122/1_8-40; PS122/1_8-41; PS122/1_8-42; PS122/1_8-5; PS122/1_8-6; PS122/1_8-63; PS122/1_8-64; PS122/1_8-65; PS122/1_8-66; PS122/1_8-80; PS122/1_8-81; PS122/1_8-82; PS122/1_8-83; PS122/1_8-95; PS122/1_8-96; PS122/1_9-100; PS122/1_9-101; PS122/1_9-102; PS122/1_9-105; PS122/1_9-106; PS122/1_9-13; PS122/1_9-14; PS122/1_9-18; PS122/1_9-19; PS122/1_9-20; PS122/1_9-21; PS122/1_9-41; PS122/1_9-42; PS122/1_9-43; PS122/1_9-44; PS122/1_9-57; PS122/1_9-58; PS122/1_9-59; PS122/1_9-60; PS122/1_9-77; PS122/1_9-78; PS122/1_9-79; PS122/1_9-80; PS122/1_9-88; PS122/1_9-89; PS122/1_9-90; PS122/1_9-91; PS122/1_99-46; PS122/1_99-47; PS122/1_9-99; PS122/2; PS122/2_14-119; PS122/2_15-1; PS122/2_15-13; PS122/2_15-2; PS122/2_15-3; PS122/2_15-4; PS122/2_15-5; PS122/2_15-7; PS122/2_16-10; PS122/2_16-11; PS122/2_16-13; PS122/2_16-16; PS122/2_16-17; PS122/2_16-18; PS122/2_16-19; PS122/2_16-2; PS122/2_16-3; PS122/2_16-31; PS122/2_16-32; PS122/2_16-33; PS122/2_16-4; PS122/2_16-40; PS122/2_16-41; PS122/2_16-42; PS122/2_16-43; PS122/2_16-5; PS122/2_16-57; PS122/2_16-58; PS122/2_16-59; PS122/2_16-6; PS122/2_16-67; PS122/2_16-68; PS122/2_16-69; PS122/2_16-7; PS122/2_16-70; PS122/2_16-76; PS122/2_17-10; PS122/2_17-102; PS122/2_17-104; PS122/2_17-105; PS122/2_17-11; PS122/2_17-110; PS122/2_17-12; PS122/2_17-21; PS122/2_17-22; PS122/2_17-23; PS122/2_17-24; PS122/2_17-35; PS122/2_17-36; PS122/2_17-37; PS122/2_17-38; PS122/2_17-55; PS122/2_17-56; PS122/2_17-57; PS122/2_17-58; PS122/2_17-71; PS122/2_17-72; PS122/2_17-73; PS122/2_17-74; PS122/2_17-92; PS122/2_17-93; PS122/2_17-94; PS122/2_17-95; PS122/2_18-100; PS122/2_18-11; PS122/2_18-12; PS122/2_18-13; PS122/2_18-20; PS122/2_18-21; PS122/2_18-22; PS122/2_18-28; PS122/2_18-29; PS122/2_18-30; PS122/2_18-31; PS122/2_18-48; PS122/2_18-49; PS122/2_18-50; PS122/2_18-51; PS122/2_18-67; PS122/2_18-68; PS122/2_18-69; PS122/2_18-70; PS122/2_18-85; PS122/2_18-86; PS122/2_18-87; PS122/2_18-88; PS122/2_18-94; PS122/2_18-95; PS122/2_18-96; PS122/2_18-97; PS122/2_19-10; PS122/2_19-100; PS122/2_19-11; PS122/2_19-12; PS122/2_19-124; PS122/2_19-125; PS122/2_19-126; PS122/2_19-127; PS122/2_19-143; PS122/2_19-22; PS122/2_19-23; PS122/2_19-25; PS122/2_19-47; PS122/2_19-48; PS122/2_19-49; PS122/2_19-50; PS122/2_19-71; PS122/2_19-72; PS122/2_19-73; PS122/2_19-74; PS122/2_19-84; PS122/2_19-85; PS122/2_19-86; PS122/2_19-87; PS122/2_19-97; PS122/2_19-98; PS122/2_19-99; PS122/2_20-10; PS122/2_20-103; PS122/2_20-104; PS122/2_20-105; PS122/2_20-106; PS122/2_20-119; PS122/2_20-120; PS122/2_20-121; PS122/2_20-122; PS122/2_20-135; PS122/2_20-19; PS122/2_20-20; PS122/2_20-21; PS122/2_20-22; PS122/2_20-37; PS122/2_20-38; PS122/2_20-39; PS122/2_20-40; PS122/2_20-66; PS122/2_20-67; PS122/2_20-68; PS122/2_20-69; PS122/2_20-8; PS122/2_20-84; PS122/2_20-85; PS122/2_20-86; PS122/2_20-87; PS122/2_20-9; PS122/2_21-106; PS122/2_21-107; PS122/2_21-108; PS122/2_21-109; PS122/2_21-115; PS122/2_21-116; PS122/2_21-117; PS122/2_21-132; PS122/2_21-133; PS122/2_21-134; PS122/2_21-135; PS122/2_21-136; PS122/2_21-21; PS122/2_21-22; PS122/2_21-23; PS122/2_21-37; PS122/2_21-38; PS122/2_21-39; PS122/2_21-40; PS122/2_21-57; PS122/2_21-58; PS122/2_21-59; PS122/2_21-60; PS122/2_21-79; PS122/2_21-80; PS122/2_21-81; PS122/2_21-82; PS122/2_22-10; PS122/2_22-102; PS122/2_22-103; PS122/2_22-104; PS122/2_22-105; PS122/2_22-11; PS122/2_22-111; PS122/2_22-20; PS122/2_22-21; PS122/2_22-22; PS122/2_22-23; PS122/2_22-38; PS122/2_22-39; PS122/2_22-41; PS122/2_22-57; PS122/2_22-58; PS122/2_22-59; PS122/2_22-60; PS122/2_22-78; PS122/2_22-79; PS122/2_22-80; PS122/2_22-81; PS122/2_22-86; PS122/2_22-87; PS122/2_22-88; PS122/2_22-89; PS122/2_22-9; PS122/2_23-101; PS122/2_23-102; PS122/2_23-103; PS122/2_23-104; PS122/2_23-117; PS122/2_23-118; PS122/2_23-119; PS122/2_23-
    Type: Dataset
    Format: text/tab-separated-values, 3036 data points
    Location Call Number Expected Availability
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  • 40
    Publication Date: 2024-06-04
    Description: Melt ponds water sampling for biogeochemical parameters such as dissolved inorganic carbon (DIC), total alkalinity (TA), oxygen isotopes were examined from August to September 2020. To obtain discrete water samples from the melt ponds and leads, we checked the vertical structure and depth of the meltwater layer from the same hole used for the RINKO Profiler by attaching a conductivity sensor (Cond 315i, WTW GmbH, Germany) to a 2-m-long ruler and inserting the ruler into the lead water until the salinity measured with the Cond 315i increased at the meltwater–seawater interface (Nomura et al., 2024) . Water was pumped up with a peristaltic pump through a 2-m-long PTFE tube (L/S Pump Tubing, Masterflex, USA) at depths corresponding to meltwater (surface), the interface between meltwater and seawater (interface), and seawater (bottom). Salinity was measured at each depth by attaching a Cond 315i conductivity sensor to the bottom of the ruler. The tube intake was likewise attached to the bottom of the ruler. Seawater was subsampled into a 250-mL glass vial (Duran Co., Ltd., Germany) for measurement of dissolved inorganic carbon (DIC) and total alkalinity (TA) and a 50-mL glass, screw-cap, narrow-neck vial (VWR international LLC, Germany) for measurement of the oxygen isotopic ratio (δ18O) of the water. Immediately after subsampling for measurement of DIC and TA, a 6.0% (wt.) mercuric chloride (HgCl2) solution (100 µL) was added to stop biological activity. Samples for DIC and TA were stored at +4°C on the R/V Polarstern. Samples for δ18O were stored at room temperature (20°C). During the discrete water sampling, the CO2 concentration in the water column was measured directly on site by passing the water through an equilibrator Liqui-Cel® (G542, S/N: 132462, 3M Company, USA) connected to an infrared gas analyzer (LI-8100A, LI-COR Inc., USA). The analyzer was calibrated with standard gases containing 0.0, 299.3, and 501.3 ppm CO2 before MOSAiC Leg 5. RMS (root means square) noise at 370 ppm with 1 sec signal averaging is 〈1 ppm (https://www.licor.com/env/products/soil-flux/LI-8100a). The equilibrator was connected in the loop for water sampling (vide supra), and a 2-m-long ruler was inserted into the water and kept at that depth until the CO2 was equilibrated with air (about 1 minute) by monitoring the CO2 values. The CO2 concentration was measured at each depth (i.e., surface, interface, and bottom). At the ROV lead sites, vertical CO2 measurements were made every 0.05 m for detailed profiles. The DIC of water was determined by coulometry (Johnson et al., 1985; Johnson, 1992) using a home-made CO2 extraction system (Ono et al., 1998) and a coulometer (CM5012, UIC, Inc., Binghamton, NY, USA). The TA of water was determined by titration (Dickson et al., 2007) using a TA analyzer (ATT-05, Kimoto Electric Co., Ltd., Japan). Both DIC and TA measurements were calibrated with reference seawater materials (Batch AR, AU, and AV; KANSO Technos Co., Ltd., Osaka, Japan) traceable to the Certified Reference Material distributed by Prof. A. G. Dickson (Scripps Institution of Oceanography, La Jolla, CA, USA). Oxygen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (hdl:10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): hdl:10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 and hdl:10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard.
    Keywords: Alkalinity, total; Arctic Ocean; Carbon, inorganic, dissolved; Carbonate chemistry; Carbon dioxide; Chamber for gas sampling; CHAMGAS; Conductivity sensor Cond 315i, WTW GmbH, Germany; Coulometry; DATE/TIME; DEPTH, water; Equilibrator, 3M, Liqui-Cel [G542, S/N: 132462]; followed by Infrared gas analyzer, LI-COR Inc., LI-8100A; Event label; LATITUDE; lead; LONGITUDE; Mass spectrometer, Finnigan, Delta-S; melt pond; melt water; Mosaic; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; oxygen isotope; Polarstern; PS122/5; PS122/5_59-200; PS122/5_59-202; PS122/5_59-203; PS122/5_59-207; PS122/5_59-208; PS122/5_59-209; PS122/5_59-210; PS122/5_59-211; PS122/5_59-212; PS122/5_59-213; PS122/5_59-214; PS122/5_59-215; PS122/5_59-343; PS122/5_60-130; PS122/5_60-146; PS122/5_60-61; PS122/5_62-33; Salinity; Sample type; Site; Temperature, water; Titration; Water sample; WS; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
    Location Call Number Expected Availability
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  • 41
    Publication Date: 2024-06-04
    Description: Passive acoustic monitoring (PAM) data were collected by recorder AU0302 of type AURAL (Autonomous Underwater Recorder for Acoustic Listening (AURAL; Model 3, Multi-Électronique) at 79.1669° N, 6.3327° E, mooring F4-OZA2, in Fram Strait. During a deployment period from July 2020 to July 2022, passive acoustic data were collected from July 2020 to May 2021 (recording period) by AU0302 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 300 m depth and scheduled to record at a duty cycle of 10 min per 1 h at a sample rate of 32,000 Hz. Due to a firmware bug, the set duty cycle changed on 2021-01-02 to continuous recording of files with 10 min duration. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: Arctic Ocean; ATWAICE; Audio file; Audio file (File Size); Autonomous Underwater Recorder for Acoustic Listening, Multi-Électronique, AURAL Model 3; DATE/TIME; DEPTH, water; F4-OZA-2; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 18-1_33; Maria S. Merian; MOOR; Mooring; MSM93; MSM93_24-2; MSM93_24-2,PS131_22-1; North Greenland Sea; Polarstern; PS131; PS131_22-1
    Type: Dataset
    Format: text/tab-separated-values, 300 data points
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  • 42
    Publication Date: 2024-06-04
    Description: Gypsum samples collected in two outcrops located in the Polemi basin, Cyprus, have been analyzed for their strontium isotopic composition. Respective methods are described in the original publication. Individual Strontium sources comprise variable Sr isotopic compositions, allowing some measure of the relative proportions of Sr derived from Atlantic seawater and continental sources including rivers and the Parathethys.
    Keywords: Cyprus; Date of determination; Event label; Messinian Salinity Crisis; Multi-collector ICP-MS (MC-ICP-MS), Neptune Plus, Thermo; OUTCROP; Outcrop 1; Outcrop 2; Outcrop ID; Outcrop sample; Paleoceanography; paleohumidity; Polemi_basin_gypsum_outcrop_1; Polemi_basin_gypsum_outcrop_2; Sample ID; Sample type; Seawater δ18O; Sr isotopes; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard error; Time point, descriptive; triple oxygen isotopes
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 43
    Publication Date: 2024-06-04
    Description: Gypsum samples collected in two outcrops located in the Polemi basin, Cyprus, have been analyzed for their triple oxygen and hydrogen isotopic composition. Respective methods are described in the original publication. The oxygen and hydrogen data provided here is derived from the crystal bound H2O within the Gypsum (CaSO4*2H2O), which allows calculating paleo-water isotopic compositions of the mother brine from which this gypsum precipitated during the Messinian Salinity Crisis. Because the isotopic composition of the mother brine is affected by the local hydroclimate at that time, such analyses allow reconstructing paleo-hydroclimate. One aim of the study was to reconstruct paleo-relative humidity of the Messinian Salinity Crisis. For this purpose, the triple oxygen and hydrogen isotope data was fitted to an appropriate isotope model that is based on the Craig and Gordon formula, which provides absolute paleo-relative humidity estimates. Model input and output data are summarized in Table S2.
    Keywords: Cyprus; Date of determination; Deuterium excess; Deuterium excess, standard deviation; Event label; Isotope ratio mass spectrometer (IRMS), Thermo Fisher, MAT253; Messinian Salinity Crisis; OUTCROP; Outcrop 1; Outcrop 2; Outcrop ID; Outcrop sample; Oxygen-17 excess; Oxygen-17 excess, standard deviation; Paleoceanography; paleohumidity; Polemi_basin_gypsum_outcrop_1; Polemi_basin_gypsum_outcrop_2; Sample code/label; Sample ID; Seawater δ18O; Sr isotopes; Time point, descriptive; triple oxygen isotopes; δ17O, water; δ17O, water, standard deviation; δ18O, water; δ18O, water, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
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  • 44
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-06-04
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 33069 data points
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  • 45
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-06-04
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 26585 data points
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  • 46
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-06-04
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 248711 data points
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  • 47
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-06-04
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267726 data points
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  • 48
    Publication Date: 2024-06-04
    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: 20200108_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_19-46; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 49
    Publication Date: 2024-06-04
    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: 20191112_02; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_7-25; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 50
    Publication Date: 2024-06-04
    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: 20191130_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; 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, 12 data points
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  • 51
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_46_97_2020071101; PS122/4; PS122/4_46-97; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 52
    Publication Date: 2024-06-04
    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: 20191230_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_18-7; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 53
    Publication Date: 2024-06-04
    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: 20191112_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_7-24; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 54
    Publication Date: 2024-06-04
    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: 20191119_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; 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, 24 data points
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  • 55
    Publication Date: 2024-06-04
    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: 20191112_02; 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_7-25; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 56
    Publication Date: 2024-06-04
    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: 20200123_02; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_21-78; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 22 data points
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  • 57
    Publication Date: 2024-06-04
    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: 20200128_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_22-16; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 58
    Publication Date: 2024-06-04
    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: 20200212_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_24-31; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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  • 59
    Publication Date: 2024-06-04
    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: 20200321_02; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_32-71; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
    Location Call Number Expected Availability
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  • 60
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_45_37_2020063002; PS122/4; PS122/4_45-37; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 61
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_48_69_2020072201; PS122/4; PS122/4_48-69; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 62
    Publication Date: 2024-06-04
    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: 20200321_01; Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_32-70; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
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  • 63
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_4_45_36_2020063001; PS122/4; PS122/4_45-36; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 64
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_37-66; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 65
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_59-139; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Expected Availability
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  • 66
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_61-190; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Expected Availability
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  • 67
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_63-118; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 68
    Publication Date: 2024-06-04
    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: Airborne laser scanning; Arctic; Arctic Ocean; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_62-67; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 69
    Publication Date: 2024-06-04
    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 (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 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: 20200121_01; Airborne laser scanning; 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_21-41; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 70
    Publication Date: 2024-06-04
    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 (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 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: 20200204_01; Airborne laser scanning; 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_23-14; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 71
    Publication Date: 2024-06-04
    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 (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 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: 20200227_01; Airborne laser scanning; 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; PS122/3; PS122/3_29-49; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 72
    Publication Date: 2024-06-04
    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: 20200212_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_24-31; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 406 data points
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  • 73
    Publication Date: 2024-06-04
    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; 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; PS122/3; PS122/3_35-49; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 456 data points
    Location Call Number Expected Availability
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  • 74
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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; PS122/3; PS122/3_39-109; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 75
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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_4_46_36_2020070701; PS122/4; PS122/4_46-36; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 76
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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; PS122/5; PS122/5_61-62; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 77
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_20-23; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 30360 data points
    Location Call Number Expected Availability
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  • 78
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/3; PS122/3_35-32; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 276 data points
    Location Call Number Expected Availability
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  • 79
    Publication Date: 2024-06-04
    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; 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_4_46_36_2020070701; PS122/4; PS122/4_46-36; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 274 data points
    Location Call Number Expected Availability
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  • 80
    Publication Date: 2024-06-04
    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; 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_4_46_39_2020070703; PS122/4; PS122/4_46-39; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
    Location Call Number Expected Availability
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  • 81
    Publication Date: 2024-06-04
    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; 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_4_48_69_2020072201; PS122/4; PS122/4_48-69; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 532 data points
    Location Call Number Expected Availability
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  • 82
    Publication Date: 2024-06-04
    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; 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; PS122/5; PS122/5_59-139; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 83
    Publication Date: 2024-06-04
    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; 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; PS122/5; PS122/5_62-166; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 478 data points
    Location Call Number Expected Availability
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  • 84
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/5; PS122/5_60-5; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 40668 data points
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  • 85
    Publication Date: 2024-06-04
    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: AWI_SeaIce; BEAST; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/1; PS122/1_6-31; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 33694 data points
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  • 86
    Publication Date: 2024-06-04
    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: AWI_SeaIce; BEAST; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/1; PS122/1_6-16; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 88088 data points
    Location Call Number Expected Availability
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  • 87
    Publication Date: 2024-06-04
    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: AWI_SeaIce; BEAST; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/1; PS122/1_9-22; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 65082 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/2; PS122/2_19-27; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 202162 data points
    Location Call Number Expected Availability
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  • 89
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/2; PS122/2_23-116; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 156642 data points
    Location Call Number Expected Availability
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  • 90
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/2; PS122/2_25-104; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 131304 data points
    Location Call Number Expected Availability
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  • 91
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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_4_48_69_2020072201; PS122/4; PS122/4_48-69; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 92
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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; PS122/5; PS122/5_62-67; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 93
    Publication Date: 2024-06-04
    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 (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 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: Airborne laser scanning; 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; PS122/5; PS122/5_62-166; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 94
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_18-10; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 1584 data points
    Location Call Number Expected Availability
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  • 95
    Publication Date: 2024-06-04
    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: AWI_SeaIce; BEAST; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_9-22; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 11568 data points
    Location Call Number Expected Availability
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  • 96
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_24-97; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 12228 data points
    Location Call Number Expected Availability
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  • 97
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/4; PS122/4_44-206; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 45540 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/4; PS122/4_45-149; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 60920 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2024-06-04
    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; Calculated; DATE/TIME; DEPTH, water; Digital precision altimeter, Tritech, PA500; Distance, relative, X; Distance, relative, Y; Distance to sea ice bottom; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/4; PS122/4_44-191; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Sea ice; Sea ice draft; Sea-ice draft; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 12768 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2024-06-04
    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; Chlorophyll a; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Fluorescence, dissolved organic matter; FRAM; FRontiers in Arctic marine Monitoring; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical backscattering coefficient, 700 nm; Polarstern; PS122/4; PS122/4_46-177; Quality flag, position; Remotely operated sensor platform BEAST; Remotely operated vehicle (ROV); Scattering fluorescence sensor, WETLabs, ECO Puck Triplet, BBFL2-SLO; Sea ice; Sea Ice Physics @ AWI; Survey ID
    Type: Dataset
    Format: text/tab-separated-values, 64430 data points
    Location Call Number Expected Availability
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