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  • Data  (8,044)
  • 2020-2024  (8,044)
  • 2010-2014
  • 2023  (8,044)
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  • 2020-2024  (8,044)
  • 2010-2014
Year
  • 1
    Publication Date: 2024-06-19
    Description: Here we present a dataset of Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia (HMA) based on Landsat satellite imagery and digital elevation model data. The data were obtained using the MountAiN glacier Transient snowline Retrieval Algorithm (MANTRA), a Google Earth Engine tool to measure the average altitude of the snow-ice boundary. Each MANTRA result consists of reference data (e.g. Landsat scene, date, glacier ID), relevant topographic metrics (glacier area, minimum and maximum elevation of the glacier), results of the surface material classification (areas covered by ice, snow, debris and clouds), summary statistics of the TSLA measurement, and quality metrics (cloud cover close to snow-ice boundary, class coverage). For the dataset presented here, we applied MANTRA to all glaciers in HMA with an area larger than 0.5 km² (ca. 28,500 based on Randolph Glacier Inventory v6 glacier outlines). After filtering and postprocessing, the dataset comprises ca. 9.66 million TSLA measurements with an average of 341 ± 160 measurements per glacier, covering the time span 1985 to 2021.
    Keywords: Asia; Glaciology; Google Earth Engine; High_Mountain_Asia; High Mountain Asia; HMA; Satellite measurement Aqua/MODIS; Time series; Transient snowline altitude
    Type: Dataset
    Format: application/x-hdf, 3.3 GBytes
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  • 2
    Publication Date: 2024-06-19
    Description: Multibeam data were collected during RV Polarstern cruise PS104 (2017-02-05 to 2017-03-18). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs and CTDs, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
    Keywords: Amundsen Sea; ANT-XXXII/3; Area; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DS3; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; PS104; PS104_0_Underway-6; Raster cell size; Southern Ocean; Swath-mapping system Atlas Hydrosweep DS-3; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 800 data points
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  • 3
    Publication Date: 2024-06-19
    Description: Multibeam data were collected during RV Polarstern cruise PS111 (2018-01-19 to 2018-03-14). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs, tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net/global/tpxo9-atlas), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (〈Lon〉 〈Lat〉 〈Depth in meters, positive up, relative to mean sea level〉). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
    Keywords: ANT-XXXIII/2; Area; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); CT; Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; Hydrosweep DS3; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multibeam; Number of depth soundings; Polarstern; PS111; PS111-track; Raster cell size; Southern Ocean; Underway cruise track measurements; Vertical datum; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1275 data points
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  • 4
    Publication Date: 2024-06-19
    Description: Arctic warming increases the degradation of permafrost soils but little is known about floodplain soils and other permafrost soils in the permafrost region. This dataset present soil properties from twelve analyzed cores located in the northeastern Siberian Lena River Delta within the continuous permafrost zone in northern Yakutia, Russia that were sampled in 2018. The cores represent intact yedoma, yedoma thaw slumps, and floodplain profiles. The soil coring and sampling was carried out in August 2018 for a total of 30 soil cores, 35 soil profiles, and 341 sediment samples. First, vegetation and other characteristics of the plots were described. Then, the active layer soils were excavated, described, and sampled with a fixed volume cylinder (250 cm³). Then the permafrost layers were sampled with a modified, snow, ice, and permafrost (SIPRE) auger to a depth of 1 m (core diameter of 7.62 cm) and visually described in their characteristics. Each core was divided into subsamples with 5-10 cm length according to its facies horizons, transported frozen to Alfred Wegener Institute in Potsdam, and stored at -20 °C until analysis. A subset of these sediment samples (n=105 from 12 cores) were later analyzed in the laboratory for physical and chemical properties; this data is presented here. The analysis from these samples includes: water content, dry bulk density, gravimetric ice content, pH, conductivity, total organic carbon content, total inorganic carbon content, total carbon content, total nitrogen content, carbon density, TOC storage, and TN storage. Selected samples were further analyzed for radiocarbon and grain size analysis.
    Keywords: 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 24; 25; Accelerator mass spectrometry, Ionplus, Mini Carbon Dating System (MiCaDaS AWI); AGE; Age, error; Arctic Tundra; AWI Arctic Land Expedition; Calculated; Calculated from dry bulk density and TC; Calculated from dry bulk density and TN; Calculated from dry bulk density and TOC; Calculated from wet mass and water content; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, storage; Carbon, total; Carbon, total/Nitrogen, total ratio; Carbon Analyzer, Elementar, soli TOC cube; Carbon density, soil; Carbon in Permafrost / Kohlenstoff im Permafrost; CARBOPERM; Clay; Comment; Conductivity, electrolytic; DATE/TIME; Density, dry bulk; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; DIN 4022; Distribution; Dry mass; Event label; Flood plain; FluxWIN; Formation, turnover and release of carbon in Siberian permafrost landscapes; Fraction modern carbon; Gear; Grain Size; Grain size, mean; Grain size, mean, standard deviation; Grain size description; Ice content, gravimetric; incubation; KoPF; KUR18-P13-YED; KUR18-P14-SLU; KUR18-P15-YED; KUR18-P16-SLO; KUR18-P17-FLO; KUR18-P18-SAN; KUR18-P19-GRA; Kurungnakh; Lena 2018; Length; Methane emissions; Multi-parameter meter, Xylem Analytics, MultiLab 540; Name; Nitrogen, total; Nitrogen Analyzer, Elementar, rapid MAX N exceed; Nitrogen density, soil; Particle size analyzer, Malvern Panalytical, Mastersizer 3000 laser; permafrost carbon storage; permafrost soil; pH; radiocarbon; RU-Land_2018_Lena; SAM18-P20-LSH; SAM18-P21-HST; SAM18-P22-SAN; SAM18-P24-NEI; SAM18-P25-ABC; Samoylov Islands; Sample ID; Sample number; Sample volume; Sand; Section; Silt; Soil organic carbon storage; SOILS; Soil sample; Soil total nitrogen storage; Sorting description; Texture; The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems; Type; Water content, relative; Water loss per dry weight; Wet mass; Yedoma; δ13C; δ14C
    Type: Dataset
    Format: text/tab-separated-values, 3696 data points
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  • 5
    Publication Date: 2024-06-18
    Description: This dataset includes counts, percentages and concentrations of all dinoflagellate cyst taxa identified in the benthic nephloid layer (BNL), cyst rain and surface sediments collected along a land-sea transect off Figueira da Foz (NW Portugal, Atlantic Iberian margin) during the Hydrographic Institute (IH)-HABWAVE cruise (16th-19th September 2019). Sampling of the dinoflagellate cyst community in the BNL, the water column (sediment trap) and the surface sediments (together with studies of spatio-temporal changes in physical properties) were carried out in order to investigate the dinoflagellate cyst distribution and the factors (physical and biological) affecting it. Water samples for cyst analyses were collected by a rosette firing system associated with the CTD, and the cyst rain using a sediment trap situated above the BNL. They were filtered (40-47 l) on board through a 150µm-nylon mesh sieve onto a 10µm-calibrated stainless steel sieve (Retsch). In the laboratory, cysts were concentrated by centrifugation. Full and empty cysts were counted to investigate whether a reservoir of viable cysts existed in the BNL. Surface sediments were sampled with a Smith McIntyre grab and using Plexiglass tubes (3.6 cm internal diameter) that were inserted in the sediment to recover the top 1-cm layer. Cysts from sediments were concentrated by density separation with sodium polytungstate (2.016 g/ml).
    Keywords: Benthic nepheloid layer; Coastal dynamics; Dinoflagellate cysts; NW portuguese margin; Surface sediments
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 6
    Publication Date: 2024-06-18
    Description: The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp.) from one sample from the Western Equatorial Pacific. The morphological measurements were applied to evaluate coccolithophore preservation aspects under different dissolution intensities in a laboratory experiment. For the dissolution experiment, we added different amounts of Calgon solution (0, 0.4, 0.8, 2, 4, and 6 ml) in subsamples prepared from one sediment sample (ODP 807A-2H2W57-59 cm). The length, volume, area, and mass were obtained using the C-Calcita software from images taken under a cross-polarized microscope (Zeiss AX10). Thickness and the shape factor ks were calculated. The columns include the sample name, how much Calgon was added into sediment suspension, the number of coccoliths measured per sample, length, mean ks shape factor and standard deviation of mean ks/mean ks.
    Keywords: Calculated after Gerotto et al. (2022); Calculated average/mean values; Coccoliths; Coccoliths, length; Coccoliths, mass; Coccoliths, shape factor; Coccoliths, shape factor, standard deviation; Coccoliths, thickness; Coccoliths, volume; dissolution experiment; Elevation of event; Emiliania huxleyi; Event label; Gephyrocapsa oceanica; Giant box corer; GIK17925-2; GIK17930-1; GIK17931-1; GIK17932-1; GIK17934-1; GIK17936-1; GIK17937-1; GIK17938-1; GIK17939-1; GIK17940-1; GIK17941-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17946-1; GIK17949-1; GIK17951-1; GIK17955-1; GIK17956-1; GIK17957-1; GIK17958-1; GIK17959-1; GIK17960-1; GIK17961-1; GIK17962-1; GIK17963-2; GIK17964-1; GIK17965-1; GKG; Latitude of event; Longitude of event; Method/Device of event; MONITOR MONSUN; morphological measurements; SO95; Sonne; South China Sea; Surface sediments
    Type: Dataset
    Format: text/tab-separated-values, 196 data points
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  • 7
    Publication Date: 2024-06-18
    Description: The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp. and Emiliania huxleyi, 〉2µm) from surface samples of the South China Sea retrieved along a depth gradient (629 – 3809 m) during the R/V Sonne cruises (SO-95). The morphological attributes (length, volume, thickness, and ks shape factor) from the Noelaerhabdaceae group (Emiliania huxleyi and Gephyrocapsa spp) were applied to evaluate coccolithophore calcification and preservation aspects. The length, volume, area, and mass were obtained using the C-Calcita software from images taken under a cross-polarized microscope (Zeiss AX10). Thickness and the shape factor ks were calculated. The columns include station names, Longitude, Latitude, Depth (m), number of coccoliths measured per sample, mean ks shape factor, thickness, length, volume, mass, and standard deviation of mean ks/mean ks.
    Keywords: 130-807A; Calculated after Gerotto et al. (2022); Calculated average/mean values; Coccoliths; Coccoliths, length; Coccoliths, shape factor; Coccoliths, shape factor, standard deviation; dissolution experiment; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Emiliania huxleyi; Gephyrocapsa oceanica; Joides Resolution; Leg130; morphological measurements; Sample code/label; South China Sea; Surface sediments; Treatment: solution; West equatorial Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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  • 8
    Publication Date: 2024-06-18
    Keywords: Alexandrium-type; B1; B2; B3; Benthic nepheloid layer; Bottom grab (Smith-McIntyre); cf. Thoracosphaera sp.; Coastal dynamics; Counting, dinoflagellate cysts; CTD/Rosette; CTD-RO; Date/Time of event; Date/Time of event 2; DEPTH, sediment/rock; DEPTH, water; Dinoflagellate cyst; Dinoflagellate cyst, empty; Dinoflagellate cyst, full; Dinoflagellate cyst, total; Dinoflagellate cyst indeterminata, round brown; Dinoflagellate cyst indeterminata, spinny brown; Dinoflagellate cysts; Diplopsalis-type; Dubridinium sp.; Echinidinium granulatum; Echinidinium transparantum; Elevation of event; Event label; F1-02 LOW; F1-02 UP; F1-03; F1-04 LOW; F1-04 UP; F2-0; F2-1; F2-10; F2-11; F2-12; F2-2; F2-3; F2-4; F2-5; F2-6; F2-7; F2-8; F2-9; Gymnodinium catenatum; Gymnodinium microreticulatum; Gymnodinium nolleri; HABWAVE_B1; HABWAVE_B2; HABWAVE_B3; HABWAVE_F1-02_LOW; HABWAVE_F1-02_UP; HABWAVE_F1-03; HABWAVE_F1-04_LOW; HABWAVE_F1-04_UP; HABWAVE_F2-0; HABWAVE_F2-1; HABWAVE_F2-10; HABWAVE_F2-11; HABWAVE_F2-12; HABWAVE_F2-2; HABWAVE_F2-3; HABWAVE_F2-4; HABWAVE_F2-5; HABWAVE_F2-6; HABWAVE_F2-7; HABWAVE_F2-8; HABWAVE_F2-9; HABWAVE_S1; HABWAVE_S2; HABWAVE_ST; HABWAVE_T1-1; HABWAVE_T1-10; HABWAVE_T1-2; HABWAVE_T1-3; HABWAVE_T1-7; HABWAVE_T1-9; HABWAVE_T2-1; HABWAVE_T2-2; HABWAVE_T2-3; HABWAVE_T2-5; HABWAVE_T2-7; HABWAVE_T2-9; Impagidinium aculeatum; Impagidinium sp.; Latitude of event; Lejeunecysta oliva; Lejeunecysta sp.; Lingulodinium polyedra; Longitude of event; NW portuguese margin; off Figueira da Foz, NW Portugal; Peridinoid spp.; Polykrikos kofoidii; Protoceratium reticulatum; Protoperidinium americanum; Protoperidinium conicum; Protoperidinium divaricatum; Protoperidinium shanghaiense; Protoperidinium sp.; Protoperidinium stellatum; Protoperidinium subinerme; S1; S2; Sample code/label; Sample material; Sample method; Scrippsiella cf. trochoidea; SMG; Spiniferites bentori; Spiniferites cf. ramosus; Spiniferites delicatus; Spiniferites membranaceus; Spiniferites mirabilis; Spiniferites sp.; ST; Surface sediments; T1-1; T1-10; T1-2; T1-3; T1-7; T1-9; T2-1; T2-2; T2-3; T2-5; T2-7; T2-9; Trap, sediment; TRAPS; Votadinium calvum; Votadinium rhomboideum; Votadinium spp.
    Type: Dataset
    Format: text/tab-separated-values, 2196 data points
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  • 9
    Publication Date: 2024-06-18
    Keywords: Alexandrium-type; Benthic nepheloid layer; Brigantedinium sp.; cf. Thoracosphaera sp.; Coastal dynamics; Counting, dinoflagellate cysts; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Dinoflagellate cyst, empty; Dinoflagellate cyst, full; Dinoflagellate cyst, total; Dinoflagellate cyst indeterminata, round brown; Dinoflagellate cyst indeterminata, spinny brown; Dinoflagellate cysts; Diplopsalis-type; Dubridinium sp.; Echinidinium granulatum; Echinidinium transparantum; Elevation of event; Event label; F1-02 LOW; F1-02 UP; F1-03; F1-04 LOW; F1-04 UP; F2-0; F2-1; F2-10; F2-11; F2-12; F2-2; F2-3; F2-4; F2-5; F2-6; F2-7; F2-8; F2-9; Gymnodinium catenatum; Gymnodinium microreticulatum; Gymnodinium nolleri; HABWAVE_F1-02_LOW; HABWAVE_F1-02_UP; HABWAVE_F1-03; HABWAVE_F1-04_LOW; HABWAVE_F1-04_UP; HABWAVE_F2-0; HABWAVE_F2-1; HABWAVE_F2-10; HABWAVE_F2-11; HABWAVE_F2-12; HABWAVE_F2-2; HABWAVE_F2-3; HABWAVE_F2-4; HABWAVE_F2-5; HABWAVE_F2-6; HABWAVE_F2-7; HABWAVE_F2-8; HABWAVE_F2-9; HABWAVE_S1; HABWAVE_S2; HABWAVE_T1-1; HABWAVE_T1-10; HABWAVE_T1-2; HABWAVE_T1-3; HABWAVE_T1-7; HABWAVE_T1-9; HABWAVE_T2-1; HABWAVE_T2-2; HABWAVE_T2-3; HABWAVE_T2-5; HABWAVE_T2-7; HABWAVE_T2-9; Impagidinium aculeatum; Impagidinium sp.; Latitude of event; Lejeunecysta oliva; Lejeunecysta sp.; Lingulodinium polyedra; Longitude of event; NW portuguese margin; off Figueira da Foz, NW Portugal; Peridinoid spp.; Polykrikos kofoidii; Protoceratium reticulatum; Protoperidinium americanum; Protoperidinium conicum; Protoperidinium divaricatum; Protoperidinium shanghaiense; Protoperidinium stellatum; Protoperidinium subinerme; S1; S2; Sample code/label; Sample material; Sample method; Scrippsiella cf. trochoidea; Spiniferites bentori; Spiniferites cf. ramosus; Spiniferites delicatus; Spiniferites membranaceus; Spiniferites mirabilis; Spiniferites sp.; Surface sediments; T1-1; T1-10; T1-2; T1-3; T1-7; T1-9; T2-1; T2-2; T2-3; T2-5; T2-7; T2-9; Votadinium calvum; Votadinium rhomboideum; Votadinium spp.
    Type: Dataset
    Format: text/tab-separated-values, 1920 data points
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  • 10
    Publication Date: 2024-06-18
    Keywords: Alexandrium-type; B1; B2; B3; Benthic nepheloid layer; Bottom grab (Smith-McIntyre); Brigantedinium sp.; cf. Thoracosphaera sp.; Coastal dynamics; Counting, dinoflagellate cysts; CTD/Rosette; CTD-RO; Date/Time of event; Date/Time of event 2; DEPTH, sediment/rock; DEPTH, water; Dinoflagellate cyst, empty; Dinoflagellate cyst, full; Dinoflagellate cyst indeterminata, round brown; Dinoflagellate cyst indeterminata, spinny brown; Dinoflagellate cysts; Diplopsalis-type; Dubridinium sp.; Echinidinium granulatum; Echinidinium transparantum; Elevation of event; Event label; F1-02 LOW; F1-02 UP; F1-03; F1-04 LOW; F1-04 UP; F2-0; F2-1; F2-10; F2-11; F2-12; F2-2; F2-3; F2-4; F2-5; F2-6; F2-7; F2-8; F2-9; Gymnodinium catenatum; Gymnodinium microreticulatum; Gymnodinium nolleri; HABWAVE_B1; HABWAVE_B2; HABWAVE_B3; HABWAVE_F1-02_LOW; HABWAVE_F1-02_UP; HABWAVE_F1-03; HABWAVE_F1-04_LOW; HABWAVE_F1-04_UP; HABWAVE_F2-0; HABWAVE_F2-1; HABWAVE_F2-10; HABWAVE_F2-11; HABWAVE_F2-12; HABWAVE_F2-2; HABWAVE_F2-3; HABWAVE_F2-4; HABWAVE_F2-5; HABWAVE_F2-6; HABWAVE_F2-7; HABWAVE_F2-8; HABWAVE_F2-9; HABWAVE_S1; HABWAVE_S2; HABWAVE_ST; HABWAVE_T1-1; HABWAVE_T1-10; HABWAVE_T1-2; HABWAVE_T1-3; HABWAVE_T1-7; HABWAVE_T1-9; HABWAVE_T2-1; HABWAVE_T2-2; HABWAVE_T2-3; HABWAVE_T2-5; HABWAVE_T2-7; HABWAVE_T2-9; Impagidinium aculeatum; Impagidinium sp.; Latitude of event; Lejeunecysta oliva; Lejeunecysta sp.; Lingulodinium polyedra; Longitude of event; NW portuguese margin; off Figueira da Foz, NW Portugal; Peridinoid spp.; Polykrikos kofoidii; Protoceratium reticulatum; Protoperidinium americanum; Protoperidinium conicum; Protoperidinium divaricatum; Protoperidinium shanghaiense; Protoperidinium stellatum; Protoperidinium subinerme; S1; S2; Sample code/label; Sample material; Sample method; Scrippsiella cf. trochoidea; SMG; Spiniferites bentori; Spiniferites cf. ramosus; Spiniferites delicatus; Spiniferites membranaceus; Spiniferites mirabilis; Spiniferites sp.; ST; Surface sediments; T1-1; T1-10; T1-2; T1-3; T1-7; T1-9; T2-1; T2-2; T2-3; T2-5; T2-7; T2-9; Trap, sediment; TRAPS; Votadinium calvum; Votadinium rhomboideum; Votadinium spp.
    Type: Dataset
    Format: text/tab-separated-values, 2124 data points
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