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  • Data  (34,598)
  • 2020-2024  (34,592)
  • 1940-1944  (6)
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  • 1
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    Sediment characteristics (Chla, Phaeo, TOC, TN, δ13C, δ15N, grain size) at stations in the Weddell Sea (POLARSTERN cruise PS 96, ANT-XXXI/2, December 2015–February 2016) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset contains abiotic and biotic data from sediment samples from nine sites in the Weddell Sea (mostly South-Eastern). Data are provided for sediment pigments (chlorophyll a and phaeopigment content through fluorometry), total organic carbon (TOC), total nitrogen (TN), stable isotope values of carbon and nitrogen (δ13C, δ15N) and grain size (silt&clay 〈 32 µm, very fine sand 63–125 µm sand, fine sand 125–250 µm, medium sand 250–500 µm, coarse sand 500–1000 µm, larger coarse sand 〉 1000 µm). Before the TOC and carbon isotope analysis the sediment samples were acidified to eliminate inorganic carbon. A minimum of three replicate samples (cores) were collected using a MUC10 multicorer or giant box corer. Sediment cores were subsampled with a 60-ml syringe (inner diameter 2.7 cm) for stations 017, 026, 061, 072, and with a 10-ml syringe (inner diameter 1 cm) for stations 001, 037, 048, 104, 115. Subsamples were sliced in 1-cm steps down to 5 cm depth. Detailed methods are described in Säring et al. (submitted) except for stable isotopes: Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer. δ values are reported relative to atmospheric N2 (δ15N) and Vienna PeeDee Belemnite (δ13C). Reference materials for stable isotope analysis: IAEA-N1, IAEA-N2, IAEA-N3, NBS 22, IAEA-CH-3 and IAEA-CH-6; calibration material: Acetanilide (Merck). The analytical precision for both stable isotope ratios was 〈±0.2‰. Cores with the label -e (Environment) were only used to collect the above data. Environmental and fauna data were collected from cores with the label -i (Incubation). This data table is part of a larger study analysing the role of environmental parameters for meio- and macrofaunal community composition (see Related to below).
    Keywords: Antarctica; ANT-XXXI/2 FROSN; box corer; Carbon, organic, total; Chlorophyll a; Chlorophyll a per unit sediment mass; Cruise/expedition; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer; Flash combustion in a Flash 2000 (Thermo) elemental analyzer; Fluorometry; Gear; Gear identification number; Giant box corer; GKG; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size data; Latitude of event; Longitude of event; MUC; MultiCorer; Nitrogen, total; organic matter; phaeopigments; Phaeopigments per unit sediment mass; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-10; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-10; PS96/072-8; PS96/072-9; PS96/104-2; PS96/104-3; PS96/115-2; Sample ID; sediment; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 1 mm, gravel; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Southern Ocean; SPP1158; stable carbon isotope; Station label; total nitrogen; Total Organic Carbon; Weddell Sea; δ13C, total organic carbon; δ15N, bulk sediment
    Type: Dataset
    Format: text/tab-separated-values, 3611 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Multibeam bathymetry processed data (Kongsberg EM122 entire dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Swath sonar bathymetry data used for that dataset was recorded during RV SONNE during cruise SO276 using Kongsberg EM 122 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlanic Ocean. Data were recorded throughout the whole time spend outside EEZs. The approximate average depth of the entire dataset is around 4000m. To enhance MBES data accuracy, sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using CTD rosette. During transits, sound velocity profile from the WOA13 were aplied via Sound Speed Manager Software. After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System. Data were manually edited for false measurements using Qimera. Raster were calculated and stored in GeoTIFF format with a 100m resolution (negative values), WGS85 as vertical datum and UTM as a projection, both for EM122 & EM710. Data products include ungridded soundings and bathymetric grids (100 m resolution) of the entire cruise for each EM122 & EM710. The data processing and provision was accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time and the IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; MerMet 17-6; Multibeam; Raster cell size; SO276; SO276_0_Underway-2; Sonne_2; South Atlantic Ocean; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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    DATA PANGAEA
  • 3
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    Water column raw data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Raw multibeam bathymetry data were recorded on RV SONNE during SO276 using Kongsberg EM710 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlantic Ocean. Data were recorded throughout the whole time spend outside EEZs in areas shallower than 1500m with an approximate average depth of around 400m. To enhance MBES data accuracy, CTD casts were made in the working area prior to each MBES survey using CTD rosette to raytrace beams with the obtained sound velocity profiles (SVP). During transits, SVPs from the WOA13 were applied via Sound Speed Manager Software to the data directly during acquisition with SIS Seafloor Information System. Data are unprocessed and can therefore contain incorrect depth measurements (artifacts) without further processing. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Data acquisition and provision were accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time (https://www.iatlantic.eu/) IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; File content; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MerMet 17-6; Number of pings; Ship speed; SO276; SO276_0_Underway-4; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS); Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 450 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Dissolved methane concentration variability along freshwater-sea continuum at Cuxhaven, northern Germany, 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Cuxhaven (53.8771 N, 8.7048 E) taken at about 2-7m depth (depending on the tide). The data was obtained between 11 April and 28 August 2021 in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from COSYNA Container Cuxhaven. For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8 Watt, a spike and gradient value of 1. Due to heavy biofouling the external pump of the sensor failed, resulting in data gaps. For a more detailed description see the article cited in References.
    Keywords: 2021_Cuxhaven_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; Hereon; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: text/tab-separated-values, 95767 data points
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    DATA PANGAEA
  • 5
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    Compilation of stomach content data from temperate Atlantic and western Mediterranean mesopelagic fishes captured during the CSIC-SUMMER survey in October 2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This file contains data on mesopelagic fish stomach content reported as the number of prey categories in each fish stomach and their carbon masses. These data come from samples collected around the Iberian Peninsula (sampled during the CSIC-SUMMER cruise in October 2020). 120 samples come from the western Mediterranean and 173 from the Atlantic. Overall 42 different prey taxa could be identified from the stomachs. Five zones around the Iberian Peninsula were studied: south of the Balearic Islands, Alboran Sea, Gulf of Cadiz, off Lisboa and off Galicia. The table contains 5785 prey data records from 293 stomachs of 29 species of mesopelagic fish. Each data record (row) corresponds to one prey item, therefore for each fish stomach there are as many records as number of prey in the stomach. The complete dataset presents predators (mesopelagic fish) identified to species level, and prey taxa identified to genus level when possible (42 prey taxa). The studied mesopelagic fish correspond to orders Stomiiformes and Myctophiphormes and were selected because they were the most common and abundant in the cruise. The most diverse group was Myctophidae, with 14 species. The Stomiiformes were represented by four families, of which 5 species were Gonostomatidae, 2 Phosichthyidae, 4 Sternoptychidae and 4 Stomiidae.
    Keywords: 29SG20200929; 29SG20200929_Bongo_7B; 29SG20200929_Neuston_3; 29SG20200929_PEL01_1; 29SG20200929_PEL01_2; 29SG20200929_PEL01_3; 29SG20200929_PEL01_4; 29SG20200929_PEL01_5; 29SG20200929_PEL01_6; 29SG20200929_PEL02_5; 29SG20200929_PEL02_6; 29SG20200929_PEL03_5; 29SG20200929_PEL03_7; 29SG20200929_PEL05_2; 29SG20200929_PEL05_3; 29SG20200929_PEL05_4; 29SG20200929_PEL05_5; 29SG20200929_PEL06_4; 29SG20200929_PEL06_5; 29SG20200929_PEL07_1; 29SG20200929_PEL07_2; 29SG20200929_PEL07_3; 29SG20200929_PEL07_4; 29SG20200929_PEL08_1; 29SG20200929_PEL08_5; 29SG20200929_PEL08_7; 29SG20200929_PEL09_1; 29SG20200929_PEL09_2; 29SG20200929_PEL09_4; 29SG20200929_PEL10_1; 29SG20200929_PEL10_5; 29SG20200929_PEL10_7; 29SG20200929_PEL11_0; 29SG20200929_PEL13_0; 29SG20200929_PEL14_1; 29SG20200929_PEL14_2; 29SG20200929_PEL14_4; 29SG20200929_PEL14_5; 29SG20200929_PEL14_7; 29SG20200929_PEL15_3; 29SG20200929_PEL16_1; 29SG20200929_PEL16_3; 29SG20200929_PEL16_6; 29SG20200929_PEL17_0; 29SG20200929_PEL18_1; 29SG20200929_PEL18_4; 29SG20200929_PEL18_6; 29SG20200929_PEL19_1; 29SG20200929_PEL19_2; 29SG20200929_PEL19_3; 29SG20200929_PEL19_4; 29SG20200929_PEL19_5; 29SG20200929_PEL19_6; 29SG20200929_PEL20_1; 29SG20200929_PEL20_2; 29SG20200929_PEL20_3; 29SG20200929_PEL20_4; 29SG20200929_PEL22_2; 29SG20200929_PEL23_1; 29SG20200929_PEL23_2; 29SG20200929_PEL23_4; 29SG20200929_PEL23_5; 29SG20200929_PEL23_6; 29SG20200929_PEL23_7; 29SG20200929_PEL24_0; 29SG20200929_PEL25_2; 29SG20200929_PEL26_1; 29SG20200929_PEL26_2; Alboran Sea; Balearic Sea, Mediterranean Sea; Biomass as carbon; BONGO; Bongo net; Calculated; Carbon biomass; Class; Counting, visual; Depth, water, bottom/maximum; Depth, water, top/minimum; Event label; Family; Gear; Golf of Cadiz; Latitude of event; Location; Longitude of event; mesopelagic fish; Mesopelagos; Midwater trawl, Mesopelagos (Meillat, 2012); Month; NEU; Neuston net; Number of individuals; Number of prey; Ocean and sea region; Order; Phylum; Prey taxa; Record number; Replicates; Sample ID; Sarmiento de Gamboa; Sea off Galicia, Atlantic Ocean; Sea off Lisbon, Atlantic Ocean; Size; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; Taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Type; VID; Visual identification; Western Mediterranean; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 193793 data points
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    DATA PANGAEA
  • 6
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    Seawater carbonate chemistry and antagonistic effects of three strains of the dinoflagellate HAB species Alexandrium catenella on three target species (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: We tested the antagonistic effects of three strains of the dinoflagellate HAB species Alexandrium catenella on three target species (the chlorophyte Tetraselmis sp., the cryptomonad Rhodomonas salina, and the diatom Thalassiosira weissflogii) at various biomass ratios between species, at ambient (16 ◦C and 400 μatm CO2) and OWA (20 ◦C and 2000 μatm CO2) conditions. In these experiments the Alexandrium strains had been raised under OWA conditions for ~100 generations. All three non-HAB species increased their growth rate under OWA relative to ambient conditions. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from the Zenodo (see Source). In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-05-13.
    Keywords: Abundance; Alexandrium catenella; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bacillariophyta; Bicarbonate ion; 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; Cell density; Chlorophyta; Chromista; Confidence interval; Cryptophyta; Difference; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Laboratory experiment; Laboratory strains; Myzozoa; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Potentiometric; Potentiometric titration; Replicate; Rhodomonas salina; Salinity; Species; Species interaction; Strain; Temperature; Temperature, water; Temperature, water, standard deviation; Tetraselmis sp.; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 18876 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Benthic foraminifera species from sediment core HH15-1252PC in Vestnessa Ridge (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Keywords: Age; Astrononion gallowayi; Cassidulina neoteretis; Cassidulina reniforme; Cibicidoides lobatulus; DEPTH, sediment/rock; Elphidium spp.; Foraminifera, benthic; Foraminifera, benthic atlantic species; GEO8144/3144; Helmer Hanssen; HH15-1252PC; Melonis barleeanus; Nonionella spp.; PC; Piston corer; Stainforthia spp.; Vestnesa Ridge
    Type: Dataset
    Format: text/tab-separated-values, 1935 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Macrofauna abundance from multicorer and box corer samples for ten stations around the Antarctic Peninsula (POLARSTERN cruise PS 81, ANT-XXIX/3, January–March 2013) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset provides abundance data for macrofaunal taxa determined from sediment samples collected around the Antarctic Peninsula. A minimum of three samples (cores) were taken at each station with a MUC10 multicorer or giant box corer during PS81. The whole sediment cores (top to bottom) were preserved in a in 4%-borax-buffered formaldehyde solution prior to sieving (sieve size 500 µm) and counting (detailed methods in Säring et al. submitted). Only at station 241, cores were sliced into depth layers (0–2 cm, 2–5 cm, 5– bottom) and size fractions distinguished (sieve size 500 µm, 1000 µm). Abundances are presented per whole core as ind./m². Data from different layers and size fractions (station 241) are available upon request. Macrofauna communities included individuals from 13 higher taxa. The macrofauna abundance data are part of a larger ecological study on meio- and macrofauna communities and their relation to environmental conditions and remineralisation at the sediment-water interface (see Related to below). For the larger study, sediment cores from which macrofauna abundance data are deposited here were also used for microcosm incubations: Untreated incubations (Benthic ecosystem Function Experiments BEFEx), and incubations with and without microalgae addition (Algae Feeding Experiment AFEx). Cores from BEFEx and AFEx without algae are labeled with NT (not treated), cores from AFEx with algae are labeled as T (treated).
    Keywords: Acari; Amphipoda; Annelida; Antarctica; Antarctic Peninsula; ANT-XXIX/3; Area/locality; Bivalvia; box corer; Cnidaria; community composition; Copepoda; Counting 〉500 µm fraction; Cruise/expedition; Cumacea; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Elevation of event; Event label; Experiment; fauna abundance; Gear; Gear identification number; Giant box corer; GKG; Isopoda; Latitude of event; Longitude of event; Macrobenthos; MUC; MultiCorer; Mysida; Nematoda; Ostracoda; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS81; PS81/118-5; PS81/118-7; PS81/120-4; PS81/162-2; PS81/162-6; PS81/163-3; PS81/202-2; PS81/217-5; PS81/218-2; PS81/225-2; PS81/235-2; PS81/241-2; PS81/241-3; PS81/241-4; PS81/241-5; Sample ID; Scotia Sea; Southern Ocean; SPP1158; Station label; Tanaidacea; taxa; Treatment; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 782 data points
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  • 9
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    Biotic and abiotic water-column characteristics (Chla, Phaeo, TC, TN, δ13C, δ15N) at stations in the Weddell Sea (POLARSTERN cruise PS 96, ANT-XXXI/2, December 2015–February 2016) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset contains biotic and abiotic data from water-column samples taken with Niskin bottles mounted on the CTD rosette from 14 sites in the Weddell Sea (mostly South-Eastern). Data are provided for water-column pigments (chlorophyll a and phaeopigment content through fluorometry), total carbon (TC) and nitrogen (TN) and stable isotope values of carbon and nitrogen (δ13C, δ15N) from the chlorophyll maximum (Cmax, defined as the water depth with maximum fluorescence detected during in-situ profiles) and close to the sea bottom. Water was filtered onto glass fiber filters (GF/C for pigments, combusted GF/F for C and N analyses) and stored at -80°C prior to analysis. Detailed methods are described in Säring et al. (submitted) except for stable isotopes: Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer. δ values are reported relative to atmospheric N₂ (δ15N) and Vienna PeeDee Belemnite (δ13C). Reference materials for stable isotope analysis: IAEA-N1, IAEA-N2, IAEA-N3, NBS 22, IAEA-CH-3 and IAEA-CH-6; calibration material: Acetanilide (Merck). The analytical precision for both stable isotope ratios was 〈±0.2‰. Samples were not acidified to avoid loss of material. We assumed low inorganic carbon content in the water column for our analyses. This data table is part of a larger study analysing the role of environmental parameters for meio- and macrofaunal community composition (see Related to below).
    Keywords: Antarctica; ANT-XXXI/2 FROSN; Carbon, total; Chlorophyll a; chlorophyll bottom; chlorophyll maximum; Cruise/expedition; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Flash combustion in a Flash 2000 (Thermo) elemental analyser to a Delta V advantage (Thermo) isotope ratio masspectrometer; Flash combustion in a Flash 2000 (Thermo) elemental analyzer; Fluorometry; Gear; Latitude of event; Longitude of event; Nitrogen, total; phaeopigments; Phaeopigments; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-1; PS96/005-2; PS96/010-7; PS96/017-1; PS96/026-13; PS96/027-1; PS96/037-2; PS96/048-1; PS96/059-1; PS96/061-2; PS96/072-2; PS96/090-3; PS96/104-1; PS96/115-1; Sample type; Southern Ocean; SPP1158; Stable isotope; Station label; Total Carbon; total nitrogen; water column; Weddell Sea; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 235 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
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    Extant coccolithophores around Azores Archipelago during Meteor cruise M150 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: A systematic investigation of the extant coccolithophore community around Azores Archipelago was performed during the cruise M150 of FS Meteor between August, 27, and October, 2, 2018, in the scope of the project BIODIAZ - Controls in benthic and pelagic BIODIversity of the AZores. For the description of the spacial and vertical distribution of the extant coccolithophore community sampling was done at 50 stations along 9 transects including 3 islands, a seamount and islets from 5 to 8 water depths between surface and 150 m. A total of 306 samples were obtained, filtered onboard onto polycarbonate membranes and sections of these filters mounted in the laboratory on microscope slides for analysis by cross-polarized light microscopy. At least 400 coccospheres were counted through a randomly selected sequence of fields of view and the absolute abundances (Coccospheres/L) were estimated.
    Keywords: Acanthoica spp.; Algirosphaera robusta; Biodiversity; calcareous nannophytoplankton; Calcidiscus spp.; Calciosolenia spp.; Coronosphaera spp.; Cross-polarized light microscopy; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Discosphaera tubifera; ecology; Emiliania huxleyi; Event label; Florisphaera profunda; Gephyrocapsa ericsonii; Gephyrocapsa muellerae; Gephyrocapsa oceanica; Gladiolithus flabellatus; Helicosphaera spp.; Heterococcolithophores; Holococcolithophore spp.; islands; LATITUDE; LONGITUDE; M150; M150_1-1; M150_113-1; M150_139-1; M150_14-1; M150_143-1; M150_155-1; M150_165-1; M150_169-1; M150_171-1; M150_179-1; M150_203-1; M150_2-1; M150_211-1; M150_230-1; M150_238-1; M150_272-1; M150_274-1; M150_291-1; M150_313-1; M150_315-1; M150_333-1; M150_347-1; M150_352-1; M150_393-1; M150_423-1; M150_426-1; M150_433-1; M150_465-1; M150_467-1; M150_486-1; M150_505-1; M150_508-1; M150_51-1; M150_511-1; M150_531-1; M150_537-1; M150_539-1; M150_549-1; M150_560-1; M150_563-1; M150_584-1; M150_587-1; M150_597-1; M150_605-1; M150_639-1; M150_647-1; M150_71-1; M150_87-1; M150_91-1; M150_94-1; Meteor (1986); Michaelsarsia spp.; Oolithotus spp.; Ophiaster spp.; Reticulofenestra sessilis; Rhabdosphaera spp.; Seamounts; Syracosphaera lamina; Syracosphaera spp.; Umbellosphaera spp.; Umbilicosphaera spp.
    Type: Dataset
    Format: text/tab-separated-values, 7344 data points
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    DATA PANGAEA
  • 11
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    Multibeam bathymetry raw data (Kongsberg EM 122 transit dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Multibeam bathymetry raw data was recorded in the North Atlantic during cruise SO276 MerMet 17-6 that took place between 2020-06-22 and 2020-07-26. The data was collected using the ship's own Kongsberg EM 122. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data (zip file) and the cruise report for details.
    Keywords: Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; MerMet 17-6; Norwegian Sea, Arctic Ocean; Number of pings; Ship speed; SO276; SO276_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 7998 data points
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  • 12
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    Abundance of mesopelagic fish collected at different layers of the water column around the Iberian Peninsula (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This file contains data on number of mesopelagic fish collected during the CSIC-SUMMER survey carried out in October 2020 in five zones around the Iberian Peninsula: Balears and Alboran in the western Mediterranean, and Cadiz, Lisboa and Galicia. The scientific midwater trawl Mesopelagos fitted with a Multisampler placed at the end of the net was used to collect specimens at seven layers of the water column. The depth of the net was controlled by a SCANMAR system. In the five zones, hauls were carried out day and night to study vertical migration patterns of mesopelagic fish. A total of 24 deployments were made (between 0 and 700 m), of which 14 discriminated water layers. Additionally, to more accurately sample the epipelagic layers 7 night hauls were restricted to the first 210 m of the water column. Fish were identified and counted on board, or frozen for later processes in the laboratory. These data were obtained within the European Union Project 'Sustainable Management of Mesopelagic Resources' (SUMMER, Grant Agreement 817806) as funded by the Horizon 2020 Research and Innovation Programme.
    Keywords: 29SG20200929; 29SG20200929_1-PEL01; 29SG20200929_1-PEL02; 29SG20200929_1-PEL03; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_2-PEL08; 29SG20200929_2-PEL09; 29SG20200929_2-PEL10; 29SG20200929_2-PEL11; 29SG20200929_2-PEL12; 29SG20200929_3-PEL13; 29SG20200929_3-PEL14; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_3-PEL18; 29SG20200929_4-PEL19; 29SG20200929_4-PEL20; 29SG20200929_4-PEL22; 29SG20200929_4-PEL23; 29SG20200929_5-PEL25; 29SG20200929_5-PEL26; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; Calculated; Code; Counting, visual; DATE/TIME; Depth, bathymetric; DEPTH, water; distribution; diversity; Event label; Family; Field observation; Gulf of Cádiz, Atlantic Ocean; Haul; LATITUDE; Light mode; LONGITUDE; Mesh size; mesopelagic fish; Mesopelagos; Midwater trawl, Mesopelagos (Meillat, 2012); Net, mouth area, effective; Number of individuals; Order; PEL01; PEL02; PEL03; PEL05; PEL06; PEL07; PEL08; PEL09; PEL10; PEL11; PEL12; PEL13; PEL14; PEL15; PEL16; PEL17; PEL18; PEL19; PEL20; PEL22; PEL23; PEL25; PEL26; Sarmiento de Gamboa; Sea off Galicia, Atlantic Ocean; Sea off Lisbon, Atlantic Ocean; SUMMER; Sustainable Management of Mesopelagic Resources; Taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Towing speed; vertical migration; VID; Visual identification; Water volume, filtered
    Type: Dataset
    Format: text/tab-separated-values, 9776 data points
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  • 13
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    Bottle incubations of a North Sea phytoplankton community exposed to acute vs. gradual temperature increases and different timings of nutrient addition across various nitrogen:phosphorus ratios (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: To determine the effect of the rate of temperature increase (acute vs. gradual) and magnitude as well as the timing of nutrient addition on a natural marine phytoplankton community, a bottle incubation experiment has been conducted at the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany. The community was collected at the Helgoland Roads long-term time series site in the German part of the North Sea (https://deims.org/1e96ef9b-0915-4661-849f-b3a72f5aa9b1) on the 6ᵗʰ of March 2022. The surface water containing the phytoplankton community was collected from the RV HEINCKE with a pipe covered with a 200 µm net attached to a diaphragm pump. In the first experimental run, the community was exposed to either gradual or acute temperature increase (from 6 to either 12 or 18°C) with 25 different N:P supply ratios added as a batch at the beginning of the bottle incubation. Simultaneously, the same community was gradually acclimated to their experimental temperatures under ambient nutrients and was used in a second experimental run in which it received the same 25 different N:P supply ratios after temperature acclimation. The light conditions were set to 175 µmol s-1 m-2 and a day-night cycle of 12h:12h which corresponds to the natural conditions at that time of the year. With this, it was possible to test the effect of a gradual vs. acute temperature increase and the timing of nutrient addition i.e., before or after the temperature change. This experimental set-up summed up to 400 units (8 temperature treatments x 5 nitrogen levels x 5 phosphorus levels x 2 replicates). Each experimental run was ended after 12 days. Fluorescence (395/680 Exc./Em.) was measured every second day using a SYNERGY H1 microplate reader (BioTek®) to determine phototrophic growth over time. At the end of each experiment, one replicate was filtered onto pre-combusted acid-washed glass microfiber filters (WHATMAN® GF/C) for intracellular carbon (POC), nitrogen (PON), and phosphorus (POP) content. The POP filters were pre-combusted and then analysed by molybdate reaction after digestion with a potassium peroxydisulfate solution (Wetzel and Likens 2003). The POC and PON filters were dried at 60°C before they were measured in an elemental analyser (Flash EA 1112, Thermo Scientific, Walthman, MA, USA).
    Keywords: Bottle number; Calculated, ratio of molar masses; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Phosphorus, organic, particulate ratio; Date/time start, experiment; Diaphragm pump; coupled with pipe [covered with a 200 µm net]; Elemental analyzer (EA), Thermo Scientific, FlashEA 1112; Event label; Experimental run; growth; Growth rate, linear; HE593; HE593_SOT22; Heincke; Measured according to Wetzel and Likens (2000); N:P ratio; Nitrogen; Nitrogen, organic, particulate; Nitrogen, organic, particulate/Phosphorus, organic, particulate ratio; Nitrogen, total, dissolved/Phosphorus, total, dissolved ratio; Nitrogen, total dissolved; North Sea; nutrient limitation; nutrients; Phosphorus; Phosphorus, organic, particulate; Phosphorus, total dissolved; Phytoplankton; Replicates; SOT22; stoichiometry; Temperature; Temperature, water; Temperature change; temperature stress; Treatment: nitrogen; Treatment: Nitrogen/Phosphorus ratio; Treatment: phosphorus; Treatment: temperature description; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 6800 data points
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  • 14
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    Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This raster dataset, in Cloud Optimized GeoTIFF format (COG), provides information on land surface changes at the pan-arctic scale. Multispectral Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI imagery (cloud-cover less than 80%, months July and August) was used for detecting disturbance trends (associated with abrupt permafrost degradation) between 2003 and 2022. For each satellite image we calculated the Tasseled Cap multi-spectral index to translate the spectral reflectance signal to the semantic information Brightness, Greenness, and Wetness. In order to characterize change information, we calculated the linear trend of the Brightness, Greenness and Wetness over two decades on the individual pixel level. The final map product therefore contains information on the direction and magnitude of change for all three Tasseled Cap parameters in 30m spatial resolution across the pan-arctic permafrost domain. Features detected include coastal erosion, lake drainage, infrastructure expansion, and fires. The general processing methodology was developed by Fraser et al. 2014 and adapted and expanded by Nitze et al. 2016 and Nitze et al. 2018. Here we upscaled the processing to the circum-arctic permafrost region and the recent 20-year period from 2003 through 2022. The service covers the permafrost region up to 81° North: Alaska (USA), Canada, Greenland, Iceland, Norway, Sweden, Finland, Russia, Mongolia, and China. For Russia and China, regions not containing permafrost were excluded. The data has been processed in Google EarthEngine within the research projects ERC PETA-CARB, ESA CCI+ Permafrost, NSF Permafrost Discovery Gateway, and EU Arctic PASSION. The dataset is a contribution to the 'Panarctic requirements-driven Permafrost Service' of the Arctic PASSION project (see references). Changes in the Tasseled Cap indices Brightness, Greenness, and Wetness are displayed in the image bands red, green, and blue, respectively. Here, coastal erosion (a trend of a land surface transitioning to a water surface) is depicted in dark blue colors, while coastal accretion (a trend of a water surface transitioning to a land surface) is depicted in bright orange colors. Drained lakes appear in bright yellow or orange colors, depending on the soil conditions and vegetation regrowth. Fire scars are a further common feature, which can appear in different colors, depending on the time of the fire and pre-fire land cover. The data can be explored via the Arctic Landscape EXplorer (ALEX, see references) and is available as a public web map service (WMS, see references), both hosted by Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research.
    Keywords: Arctic_PASSION; Arctic_PASSION_Permafrost_Service; Arctic PASSION; Binary Object; Binary Object (File Size); Binary Object (Media Type); CCI Permafrost; Circum-arctic permafrost region; Coastline change; Earth observation; ESA_CCI_Permafrost_CCN2; ESA GlobPermafrost; File content; GlobPermafrost; Horizontal datum; Lake change; Lake drainage; Land cover change; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Multispectral index; NSF Permafrost Discovery Gateway; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Permafrost_Discovery_Gateway; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Raster cell size; River bank erosion; SAT; satellite data; Satellite remote sensing; Shore erosion; Thaw slumping; thermokarst
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 15
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    Geochemical data for SOB14-A-21, a Lena Delta 1st terrace exposure (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Keywords: Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 16
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    d13C values measured by Secondary Ion Mass Spectrometry in shells of the planktic foraminifer Morozovella allisonensis from the PETM section of ODP Site 865 (Central Pacific) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Foraminiferal shells of the species M. allisonensis from the PETM section of ODP Site 865, Central Pacific, were cast with 3 grains of UWC-3 calcite standard (Kozdon et al., 2009) in the center of a 25 mm round epoxy mount, ground to the level of best exposure, polished, cleaned, and Au-coated. Prior to geochemical analysis, shells were examined by Scanning Electron Microscopy (SEM) to identify subdomains suitable for in-situ d13C and Mg/Ca ratio measurements and to avoid diagenetically altered zones within each shell. In-situ d13C measurements were performed with ~7 µm beam spot size in the WiscSIMS Laboratory at UW-Madison by a CAMECA ims-1280 large radius multicollector ion microprobe) using the protocols described in a previous study (Kozdon et al., 2018). The in-situ d13C microanalyses primarily targeted subdomains located at the base of pustular outgrowths (muricae) along the chamber walls of each shell. Previous studies have shown that these subdomains are less susceptible to post-depositional alteration than the rest of the shell (Kozdon et al., 2011; Kozdon et al., 2013). Between one and five SIMS d13C microanalyses were performed for each shell. Reproducibility of the individual spot analysis of UWC-3 standard (d13C = -0.91‰ V-PDB, Kozdon et al., 2011) bracketing samples is on average 0.7‰ (± 2 SD).
    Keywords: 143-865C; d13C; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Foraminifera; Hole; Identification; Interval; Joides Resolution; Large radius multicollector ion microprobe, CAMECA, ims-1280; Leg143; Morozovella allisonensis, δ13C; North Pacific Ocean; PETM; Sample code/label; Section; SIMS; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 17
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    Forest canopy microclimate regulation during the drought year 2018 at the Leipzig Canopy Crane site (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Tree canopies are considered to effectively buffer climate extremes and to mitigate climate change effects. Droughts, which are predicted to become more frequent in the course of climate change, might alter the microclimatic cooling potential of trees. However, our understanding of how microclimate at the tree canopy level is modulated by environmental and tree characteristics and their interactions is still limited. Here, we investigated canopy temperature regulation for five mature co-occurring tree species for two contrasting hydrological situations during the severe drought in 2018.
    Keywords: broad-leafed tree species; canopy cover; drought; floodplain forest; forest microclimate regulation; sap flow
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 18
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    Standard length, weight, body mass-density and swim bladder measurements data of Cyclothone species from the IDEADOS, BATHYPELAGIC and SUMMER cruises in Northeast Atlantic Ocean and Mediterranean Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Size, weight, body-mass density and swim bladder measurements of Cyclothone species were analysed during the IDEADOS (Mediterranean Sea, July 2010), Bathypelagic (North Atlantic, May-June 2018) and SUMMER (Mediterranean Sea and North Atlantic, September-October 2020), and cruises. Specimens used to analyse size and weight were collected with a Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²), fitted with nets of 0.2 mm mesh size. Hauls were carried out between the surface and 700-800 m, in IDEADOS and SUMMER cruises, and up to 1800 m in Bathypelagic survey. Measures of body mass-density were obtained during the SUMMER cruise from specimens collected using the "Mesopelagos" midwater trawl. Finally, measures of swim bladder length, height, width, angle, volume, equivalent spherical radius, and aspect ratio were measured from specimens collected during the Bathypelagic cruise.
    Keywords: BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; fatty-tissue; Gas; Histology; ICM_Excellence_Centre; IDEADOS; micronekton; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 19
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    Benthic foraminiferal abundances from eastern Baffin Bay, sediment core AMD14-204C (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Baffin Bay is a semi-enclosed basin connecting the Arctic Ocean and the western North Atlantic, thus making out a significant pathway for heat exchange. Here we reconstruct the alternating advection of relatively warmer and saline Atlantic waters versus the incursion of colder Arctic water masses entering Baffin Bay through the multiple gateways in the Canadian Arctic Archipelago and the Nares Strait during the Holocene. We carried out benthic foraminiferal assemblage analyses, X-ray fluorescence scanning, and radiocarbon dating of a 738 cm long marine sediment core retrieved from eastern Baffin Bay near Upernavik, Greenland (Core AMD14-204C; 987m water depth). Results reveal that eastern Baffin Bay was subjected to several oceanographic changes during the last 9.2 kyrCE1. Waning deglacial conditions with enhanced meltwater influxes and an extensive sea-ice cover prevailed in eastern Baffin Bay from 9.2 to 7.9 ka. A transition towards bottom water amelioration is recorded at 7.9 ka by increased advection of Atlantic water masses, encompassing the Holocene Thermal Maximum. A cold period with growing sea-ice cover at 6.7 ka interrupts the overall warm subsurface water conditions, promoted by a weaker northward flow of Atlantic waters. The onset of the neoglaciation at ca. 2.9 ka is marked by an abrupt transition towards a benthic fauna dominated by agglutinated species, likely in part explained by a reduction of the influx of Atlantic Water, allowing an increased influx of the cold, corrosive Baffin Bay Deep Water originating from the Arctic Ocean to enter Baffin Bay through the Nares Strait. These cold subsurface water conditions persisted throughout the Late Holocene, only interrupted by short-lived warmings superimposed on this cooling trend.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; AMD14-204C; ArcticNet; Astrononion gallowayi; Baffin Bay; Benthic foraminifera; Bolivina pseudopunctata; Buliminella elegantissima; Calypso square corer; CASQ; Cassidulina neoteretis; Cassidulina reniforme; CCGS Amundsen; DEPTH, sediment/rock; Elphidium clavatum; Epistominella arctica; Epistominella vitrea; Foraminifera, benthic; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, planktic; Foraminifera, sea ice species; Holocene; Islandiella norcrossi; Nonionellina labradorica; Portatrochammina bipolaris; Psammosphaera fusca; Ratio; Recurvoides trochamminiformis; Reophax subfusiformis; Stainforthia feylingi; Textularia earlandi; Textularia kattegatensis; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 2106 data points
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  • 20
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    Meiofauna abundance from multicorer and box corer samples for seven stations from the Weddell Sea (POLARSTERN cruise PS 96, ANT-XXXI/2, December 2015–February 2016) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset provides abundance data for meiofauna taxa determined from sediment samples collected in the Weddell Sea (mostly South-Eastern). A minimum of three samples (cores) were collected at each station with a MUC10 multicorer or taken from a giant box corer during PS96. Sediment cores were sliced into depth layers (stations 017, 026, 061, 072: 0–2cm, 2–5cm, 5– bottom; stations 001, 037, 048: 0–1cm, 1–2cm, 2–3cm, 3–4cm, 4–5cm, 5– bottom) and preserved in 4%-borax-buffered formaldehyde solution prior to sieving (upper sieve size 500 µm, lower sieve size 32 µm) and counting (detailed methods in Säring et al. submitted). Abundance is presented per depth layer from the top 5 cm (note different slice volume) as ind./10 cm². Meiofauna communities included individuals from 22 higher taxa. The meiofauna abundance data are part of a larger ecological study on meio- and macrofauna communities and their relation to environmental conditions and remineralisation at the sediment-water interface (see “Related to” below). For the larger study, sediment cores from which meiofauna abundance data are deposited here were also used for microcosm incubations: Untreated incubations (Benthic ecosystem Function Experiments BEFEx), and incubations with and without microalgae addition (Algae Feeding Experiment AFEx). Cores from BEFEx and AFEx without algae are labeled with NT (not treated), cores from AFEx with algae are labeled as T (treated).
    Keywords: Acari; Amphipoda; Annelida; Antarctic; ANT-XXXI/2 FROSN; Bivalvia; box corer; Cladocera; Coelenterata; community composition; Copepoda; Copepoda, nauplii; Counting 32-500 µm fraction; Cruise/expedition; Cumacea; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Experiment; fauna abundance; Gastropoda; Gastrotricha; Gear; Gear identification number; Giant box corer; GKG; Isopoda; Kinorhyncha; Latitude of event; Longitude of event; Loricifera; meiofauna; Meiofauna, other; MUC; MultiCorer; Nematoda; Ostracoda; Polarstern; Priapulida; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-9; Rotifera; Sample ID; sediment depth layers; Sipunculida; Solenogastres; Southern Ocean; SPP1158; Station label; Tanaidacea; Tantulocarida; Tardigrada; taxa; Treatment; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 3399 data points
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  • 21
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    Continuous thermosalinograph oceanography along RV Sonne cruise SO276 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. However, on this cruise only SMB_B was working properly. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No calibration was performed, neither for temperature nor for salinity. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; MerMet 17-6; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO276; SO276_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 277014 data points
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  • 22
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    Dissolved trace elements (Fe, Mn, Co, Ni, Cu, Zn, Cd and Pb) measured on water bottle samples from ultra clean CTD/Water sampler-system during POLARSTERN cruise PS100 / GN05 (ARK-XXX/2) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset contains measured dissolved trace element concentrations (Fe, Mn, Co, Ni, Cu, Zn, Cd and Pb) of station depth profiles sampled in Fram Strait (North Greenland Sea) during GEOTRACES expedition GN05 (PS100) between 21 July and 1 September 2016. Samples were collected strictly following GEOTRACES guidelines (Cutter et al., 2017; https://www.geotraces.org) and analysed exactly as per Rapp et al., 2017 ( Anal. Chim. Acta; doi:10.1016/j.aca.2017.05.008). Concentrations were intercalibrated with GEOTRACES reference materials SAFe S and GSC (Bruland Research Lab), with exception of dissolved Cd data. Information on the analytical procedure including reference materials and limits of detection can be found in related published manuscripts, the PhD thesis of Stephan Krisch (Christian-Albrechts-Universität zu Kiel) or can be obtained from the authors upon request. Table caption: Measured concentrations of dissolved trace elements in Fram Strait sampled during GEOTRACES expedition GN05 (PS100) between 21 July-1 September 2006. Uncertainty is calculated as one standard deviation (1σ, STD) to replicate measurements via ICP-MS. ND = no data. Use of quality flags (QF) according to GEOTRACES policy (https://www.geotraces.org/geotraces-quality-flag-policy/). Plesae note, dissolved Cd data is not quality controlled. Somes samples were pooled (indicated in column "Bottle") from different bottles at one depth; the concentrations reflects the mean and the corresponding uncertainty is calculated as the standard deviation to replicate measurements. Trace metal concentrations at station 24 may show larger variations between different bottles at one specific depth. Because station 24 is located at Dijmphna Sund entrance sill, we associate these discrepancies to the water column's strong lateral and vertical turbulence (see ucCTD physical oceanography data) (e.g. Mortensen et al. 2011, 2013, Carroll et al. 2017) that goes in hand with localized TM aggregation-dissolution and sediment resuspension processes, thus affecting TM fractionation (e.g. Homoky et al. 2012).
    Keywords: Arctic; ARK-XXX/2, GN05; Bottle number; Cadmium, dissolved; Cadmium, dissolved, standard deviation; calculated, 1 sigma; Cobalt, dissolved; Cobalt, dissolved, standard deviation; Copper, dissolved; Copper, dissolved, standard deviation; Cruise/expedition; CTD/Rosette, ultra clean; CTD-UC; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fram Strait; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; GN05; Greenland Sea; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron, dissolved; Iron, dissolved, standard deviation; Latitude of event; Lead, dissolved; Lead, standard deviation; Longitude of event; Manganese, dissolved; Manganese, dissolved, standard deviation; micronutrients; Nickel, dissolved; Nickel, dissolved, standard deviation; North Greenland Sea; Polarstern; PS100; PS100/013-1; PS100/015-1; PS100/021-1; PS100/028-1; PS100/033-1; PS100/037-1; PS100/042-1; PS100/044-1; PS100/053-2; PS100/056-1; PS100/074-1; PS100/082-1; PS100/090-1; PS100/094-1; PS100/101-1; PS100/102-1; PS100/103-2; PS100/135-1; PS100/165-1; PS100/189-1; PS100/202-1; PS100/214-1; PS100/241-1; PS100/262-1; PS100/274-2; PS100/280-1; PS100/288-1; Quality flag; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Standard deviation, relative; Station label; trace elements; trace metals; Zinc, dissolved; Zinc, dissolved, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 16511 data points
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  • 23
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    A global marine particulate organic carbon-13 isotope data product (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: A new version (2022) is available: https://doi.org/10.1594/PANGAEA.946915 Marine particulate organic carbon-13 stable isotope ratios (δ13CPOC) provide additional constraints and insights on the cycling of carbon from dissolved pools to the marine ecosystem including anthropogenic contributions. For such purposes, robust spatio-temporal coverage of δ13CPOC observations is essential. We collected all such available known data sets, merged and uniformed them to provide – to the best of our knowledge – the largest available marine δ13CPOC data set. The data set consists of 4732 data points covering all major ocean basins from the 1960s to 2010s. We provide the data in twenty-one different files for best direct application on specific research purposes: a csv file including the 4732 δ13CPOC measurements, their anomalies relative to their mean −23.96 ‰ as well as all available meta-information a NetCDF file including an interpolation onto the 1°x1°-resolution grid based on the World Ocean Atlas (WOA18) data product of all δ13CPOC measurements with full spatio-temporal metadata, averaging all observations from each year together, each year accounting for a time increment on the time axis twelve NetCDF files - one for each month of the year - including an interpolation onto the 1°x1°-resolution grid based on the World Ocean Atlas (WOA18) data product of all δ13CPOC measurements with full spatio-temporal metadata, averaging only observations from the respective month, each year accounting for a time increment on the time axis a NetCDF file including an interpolation onto a 1.8°x3.6°-resolution grid of a δ13CPOC simulating model of all δ13CPOC measurements with full spatial metadata six NetCDF files – one for each decade between the 1960s and 2010s – including an interpolation onto the 1.8°x3.6°-resolution grid of a δ13CPOC simulating model of all δ13CPOC measurements with full spatial metadata and available sample year information
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); carbon isotope; Description; global; organic carbon; seawater
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
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  • 24
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    Altern als Zukunft. Transkripte der Interviews (2022)
    PANGAEA
    In:  Qualiservice
    Details
    Publication Date: 2024-06-13
    Description: DE: Transkripte der Interviews, die für die von Stephan Lessenich geleitete Studie "Alter(n) als Zukunft" durchgeführt wurden. Der Datensatz enthält 87 in zwei Wellen erhobene problemzentrierte Interviews mit älteren und alten Menschen. Die Interviews wurden von 2013 bis 2019 in und um zwei deutsche Städte (jeweils in Ost- und Westdeutschland) durchgeführt. Das Sampling kombinierte den Ansatz der Grounded Theory mit Aspekten des selektiven Samplings. Für die erste Befragungswelle wurden 57 Personen im Alter von mindestens 60 Jahren ausgewählt, die bereits im Ruhestand waren. Von diesen 57 Personen wurden 20 bereits im Rahmen der Vorgängerprojekte "Zonen des Übergangs" und "Vom wohlverdienten Ruhestand zum Alterskraftunternehmer" interviewt. Dabei wurde anhand der Merkmale Bildungsgrad, Geschlecht, Familienstand, sozioökonomischem Status, Erfahrung kritischer Lebensereignisse sowie eventuellen Sorgeverpflichtungen gegenüber Angehörigen kontrastiert. Die Interviews der ersten Welle fokussieren das Verständnis des Begriffs "Ruhestand", die Zeit- und Alltagsgestaltung der Befragten sowie die Endlichkeit des Lebens. In der zweiten Welle lag der Fokus der Stichprobenbildung auf Ruheständler:innen im Alter von über 70 Jahren. Dabei ergaben sich 7 Interviews mit Personen, die bereits in der ersten Welle interviewt wurden. Der inhaltliche Schwerpunkt der Interviews lag auf der biographischen Bedeutung der Lebensphasen Ruhestand und Alter mit Themen wie Endlichkeit, Sterben und Tod. Neben der Thematik des Zeithandelns im Alter bietet der Datensatz u.a. Nachnutzungspotenziale in den Bereichen Biographieforschung, Geschlechterforschung und Methodologie. EN: Transcripts of the interviews conducted for the study "Alter(n) als Zukunft" (="Age(ing) as future") led by Stephan Lessenich. The dataset contains 87 problem-centered interviews with elderly and old people collected in two waves. The interviews were conducted between the years 2013 and 2019 in and around two German cities (each in East and West Germany). The sampling combined the grounded theory approach with aspects of selective sampling. For the first wave, 57 persons of at least 60 years were selected who were already retired. Out of these 57 persons, 20 had been already interviewed during the two previous projects "Zonen des Übergangs" (="Zones of transition") and "Vom wohlverdienten Ruhestand zum Alterskraftunternehmer" ("From well-deserved retirement to retirement entrepreneur"). The sample was contrasted according to the properties educational level, gender, marital status, socio-economic status, experience of critical life events and possible care obligations for relatives. The interviews conducted in the first wave focussed perceptions of the concept "retirement", the organisation of time and everyday life and the finiteness of life. In the second wave, the sampling criteria focused on retirees aged 70 years or older. In this group, 7 interviews were conducted with persons who already participated in the first wave. Content-wise, the main focus was now the biographical meaning of the life phase of retirement and old age, including topics such as finiteness, dying and death. Potentials for scientific re-use of the dataset include the meaning of time in the old age, and also relate to (among others) biographical research, gender research, and methodology.
    Keywords: AaZ; AaZ_01; AaZ_02; Age, social sciences; Altern als Zukunft; Case identification; Data collection date; Data ID; Educational attainment; Event duration; File name; Gender, social sciences; General data format; Interview. Problemzentriertes Interview; Language; Marital status; Monthly household income; Number of children; Number of grandchildren; Occupation; Page(s); Pseudonym; PZI; Religion
    Type: Dataset
    Format: text/tab-separated-values, 1690 data points
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  • 25
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    Multibeam bathymetry raw data (Kongsberg EM 122 working area dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Multibeam bathymetry raw data was recorded in the North Atlantic during cruise SO276 MerMet 17-6 that took place between 2020-06-22 and 2020-07-26. The data was collected using the ship's own Kongsberg EM 122. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data (zip file) and the cruise report for details. The bathymetric data acquisition was carried out within the IceAge project which aims to investigate the North Atlantic ecosystem. Working areas have been selected to offer a variability of environments (e.g., variability of water depth, and geological setting (shelf, mid-ocean ridge, deep basin)). The bathymetric data were used to plan ROV dives and sampling stations as well as background for habitat mapping studies.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; MerMet 17-6; Norwegian Sea, Arctic Ocean; Number of pings; Ship speed; SO276; SO276_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 4002 data points
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  • 26
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    Multibeam bathymetry processed data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Swath sonar bathymetry data used for that dataset was recorded during RV SONNE during cruise SO276 using Kongsberg EM710 multibeam echosounder. The cruise took place between 22.06.2020 - 26.07.2020 in the Atlanic Ocean. Data were recorded throughout the whole time spend outside EEZs. The approximate average depth of the entire dataset is around 4000m. To enhance MBES data accuracy, sound velocity profile casts were conducted in the vicinity of the working area prior to the survey using CTD rosette. During transits, sound velocity profile from the WOA13 were aplied via Sound Speed Manager Software. After processing, these data were directly imported into the MBES Acquisition software Kongsberg SIS Seafloor Information System. Data were manually edited for false measurements using Qimera. Raster were calculated and stored in GeoTIFF format with a 100m resolution (negative values), WGS85 as vertical datum and UTM as a projection, both for EM122 & EM710. Data products include ungridded soundings and bathymetric grids (100 m resolution) of the entire cruise for each EM122 & EM710. The data processing and provision was accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time and the IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Elevation, maximum; Elevation, minimum; File content; Horizontal datum; Horizontal datum, projection stored in file; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; MerMet 17-6; Multibeam; Raster cell size; SO276; SO276_0_Underway-4; Sonne_2; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS); UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 27
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    Continuous temperature observations in mudflat sediment, Spiekeroog, Germany, 2021-05 to 2023-09 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Data presented here were collected between May 2021 to September 2023 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. Temperature in the mudflat sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated the temperature recorders and were installed in the surface layer of the back barrier tidal flat and at the salt marsh edge of Spiekeroog. Recorded data were internally logged until readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. 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: back barrier tidal flat; BEFmate; BEFmate_SaltMarshEdge1; BEFmate_seafloor2; BEFmate_seafloor3; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, sediment/rock; DynaCom; DynaCom_seafloor; Event label; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; Latitude of event; Longitude of event; Metacommunity; Miniature temperature recorder, JFE Advantech, DEFI-T; mudflat; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea; salt marsh; SCO; Spiekeroog; Spiekeroog, German Bight, North Sea; Spiekeroog Coastal Observatory; Temperature; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 267165 data points
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  • 28
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    KOSMOS 2021 Gran Canaria mesocosm study on ocean alkalinity enhancement: phytoplankton metabolic rates (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Ocean Alkalinity Enhancement (OAE) could augment long-term carbon storage and mitigate ocean acidification by increasing the bicarbonate ion concentration in ocean water. However, the side effects and/or potential co-benefits of OAE on natural planktonic communities remain poorly understood. To address this knowledge gap, 9 mesocosms were deployed in the oligotrophic waters of Gran Canaria, from September 14th to October 16th, 2021. A CO2-equilibrated Total Alkalinity (TA) gradient was employed in increments of 300 µmol·L-1, ranging from ~2400 to ~4800 µmol·L-1. The carbonate chemistry conditions in terms of TA and Dissolved Inorganic Carbon (DIC), which were then used to calculate pCO2 and pH, and the nitrate+nitrite, phosphate and silicate concentrations were measured every two days over the course of the 33-day experiment alongside the following biotic parameters. Net Community Production (NCP), Gross Production (GP), Community Respiration (CR) rates, as well as the metabolic balance (GP:CR), were monitored every two days through oxygen production and consumption using the winkler method. Fractionated 14C uptake and chlorophyll a were also determined every four days although, initially, the total PO14C and DO14C production were also measured every 4 days, in between, up to day 13. Finally, flow cytometry was also carried out every two days and synecococcus, picoeukaryote and nanophytoplankton abundances were obtained. No damaging effect of CO2-equilibrated OAE in the range applied here, on phytoplankton primary production, community metabolism and composition could be inferred from our results. In fact, a potential co-benefit to OAE was observed in the form of the positive curvilinear response to the DIC gradient up to the ∆TA1800 treatment. Further experimental research at this scale is key to gain a better understanding of the short and long-term effects of OAE on planktonic communities.
    Keywords: 14C-DOC; 14C-POC; 14C uptake; AQUACOSM; Canarias Sea; Chlorophyll a, total; chlorophyll-a concentration; Chlorophyll a microplankton; Chlorophyll a nanoplankton; Chlorophyll a picoplankton; DATE/TIME; Day of experiment; Depth, water, experiment, bottom/maximum; Depth, water, experiment, top/minimum; Event label; Extracellular release; Field experiment; flow cytometry; Flow cytometry; Gross community production/respiration rate, oxygen, ratio; Gross community production of oxygen; Identification; KOSMOS_2021; KOSMOS_2021_Mesocosm-M1; KOSMOS_2021_Mesocosm-M2; KOSMOS_2021_Mesocosm-M3; KOSMOS_2021_Mesocosm-M4; KOSMOS_2021_Mesocosm-M5; KOSMOS_2021_Mesocosm-M6; KOSMOS_2021_Mesocosm-M7; KOSMOS_2021_Mesocosm-M8; KOSMOS_2021_Mesocosm-M9; KOSMOS Gran Canaria; MESO; mesocosm experiment; Mesocosm experiment; Mesocosm label; Nanoeukaryotes; Net community production of oxygen; Network of Leading European AQUAtic MesoCOSM Facilities Connecting Mountains to Oceans from the Arctic to the Mediterranean; Ocean-based Negative Emission Technologies; OceanNETs; Picoeukaryotes; primary production; Primary production of carbon, organic, dissolved; Primary production of carbon, organic, particulate; Primary production of carbon, organic, total; Respiration rate, oxygen, community; Synechococcus; Treatment: alkalinity, total; Type of study; Winkler oxygen
    Type: Dataset
    Format: text/tab-separated-values, 3828 data points
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  • 29
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    Mg/Ca ratios measured by Electron Probe Microanalyzer in shells of the planktic foraminifer Morozovella allisonensis from the PETM section of ODP Site 865 (Central Pacific) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Foraminiferal shells of the species M. allisonensis from the PETM section of ODP Site 865, Central Pacific, were embedded in epoxy and polished to midsection. Suitable, well-preserved domains for in-situ analysis were identified by scanning electron microscopy. In-situ measurements of the Mg/Ca ratios were performed using a CAMECA SX-51 electron microprobe housed in the Cameron and Wilcox Microbeam Laboratory at the UW-Madison Department of Geoscience. Depending on the number of suitable targets for analysis, between one and seven Mg/Ca measurements were performed for each shell. Fully quantitative microanalyses (mineral standards, background subtracted, and matrix corrected) were performed using Probe for EPMA software (Probe Software, Inc.). The natural carbonate standards Delight Dolomite and Callender Calcite were used for Mg and Ca, respectively. Mg-K alpha X-rays were measured on two spectrometers and aggregated. Carbon was calculated within the matrix correction, being allocated as one atom of carbon to 3 atoms of oxygen, and oxygen by stoichiometry to the cations measured, thus analytical totals of 98 – 100.5 wt. % are a measure of accuracy. Analyses featuring analytical totals below 98 wt. % or above 100.5 wt. % were excluded from the data set
    Keywords: 143-865C; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Electron microprobe, CAMECA, SX-51; EPMA; Event label; Foraminifera; Hole; Identification; Interval; Joides Resolution; Leg143; Mg/Ca; Morozovella allisonensis, Magnesium/Calcium ratio; North Pacific Ocean; PETM; Sample code/label; Section; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 30
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    Physical oceanography (CTD) during Meteor cruise M150 (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Salinity and Oxygen were not calibrated beyond the manufacturer's calibration coefficients. Compared to climatological values (WOA18) salinity appears to be 0.05 PSU too low. Both CTD sensors and the two TSG sensors do however agree. Oxygen values are in the range of the climatological values, possibly 5 umol/kg too low. Some deep profiles show consistently low oxygen values that is not represented in the climatology. Use this data with caution.
    Keywords: CTD/Rosette; CTD-RO; DATE/TIME; Density, potential; DEPTH, water; Event label; Fluorescence; LATITUDE; LONGITUDE; M150; M150_1-1; M150_113-1; M150_128-1; M150_139-1; M150_14-1; M150_143-1; M150_145-1; M150_155-1; M150_165-1; M150_169-1; M150_171-1; M150_174-1; M150_179-1; M150_192-1; M150_203-1; M150_2-1; M150_211-1; M150_220-1; M150_230-1; M150_238-1; M150_259-1; M150_269-1; M150_272-1; M150_274-1; M150_277-1; M150_281-1; M150_291-1; M150_308-1; M150_313-1; M150_315-1; M150_318-1; M150_323-1; M150_333-1; M150_347-1; M150_352-1; M150_355-1; M150_363-1; M150_380-1; M150_383-1; M150_386-1; M150_389-1; M150_39-1; M150_393-1; M150_404-1; M150_419-1; M150_423-1; M150_426-1; M150_429-1; M150_433-1; M150_443-1; M150_462-1; M150_465-1; M150_467-1; M150_470-1; M150_476-1; M150_486-1; M150_505-1; M150_508-1; M150_5-1; M150_51-1; M150_511-1; M150_522-1; M150_529-1; M150_531-1; M150_537-1; M150_539-1; M150_549-1; M150_560-1; M150_561-1; M150_563-1; M150_572-1; M150_584-1; M150_587-1; M150_597-1; M150_605-1; M150_615-1; M150_622-1; M150_639-1; M150_647-1; M150_654-1; M150_71-1; M150_72-1; M150_77-1; M150_87-1; M150_91-1; M150_94-1; Meteor (1986); Oxygen; Pressure, water; Radiation, photosynthetically active; Radiation, photosynthetically active, surface; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 445770 data points
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  • 31
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    Varve chronology during the late Allerød to early Preboreal from sediment core GOS18 in Lake Gościąż, Poland (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: These datasets provide data for the lowest part of a new composite profile GOS18 from Lake Gościąż in central Poland. The composite profile was established using sediment cores recovered in 2015 and 2018 with an UWITEC Piston Corer at 19.6-21.5 m water depth (Bonk et al., in press). Our data covers the time interval from the onset of lacustrine sedimentation in the late Allerød to the early Preboreal. Since Lake Gościąż comprises a continuous, seasonally resolved (varved) and exceptionally well-preserved archive of the Younger Dryas (YD) climate variation, it is highly suitable for detailed investigations of lake system responses during periods of rapid climate cooling (YD onset) and warming (YD termination), respectively. Our varve chronology is the lowest part of a new floating varve chronology established for Lake Gościąż (central Poland) that has been anchored to the absolute time scale through radiocarbon dating and age modelling (Bonk et al., in press). The here presented varve chronology reaches from the onset of lacustrine sedimentation in the late Allerød until the early Preboreal. Uncertainties for the absolute ages are derived from radiocarbon age modelling and varve counting. The internal varve counting uncertainty for the observed time interval is generally low (+14/-22) due to the mostly excellent varve preservation. Microfacies analyses, including varve counting and measurements of varve and sublayer thickness, have been performed on overlapping large-scale thin sections under an Axioplan 2 and Axiolab pol imaging microscope at magnifications of 50-400x. Thin sections have been prepared from 10 cm long freeze-dried and resin impregnated sediment slices (Brauer & Casanova 2001; doi:10.1023/A:1008136029735). The dataset incorporates the composite depth, age [BP] and age uncertainties [BP] for the varve bottom, the total varve thickness, selected sublayer thicknesses, detrital sublayer occurrence, the different varve types and the varve quality index (VQI).
    Keywords: AGE; Age, uncertainty maximum/old; Age, uncertainty minimum/young; Axioplan 2 and Axiolab pol imaging microscopes; chironomid-inferred temperature reconstructions; Depth, composite; GOS18_composite; Lake Gościąż; Lake Gościąż, Poland; microfacies analyses; PCUWI; Piston corer, UWITEC; Poland; varve chronology; Varve quality index; Varve sub-layer occurrence; Varve thickness; Varve thickness, amorphous organic matter sub-layer; Varve thickness, calcite sub-layer; Varve thickness, diatoms sub-layer; Varve type; δ13Corg; δ18Ocarb
    Type: Dataset
    Format: text/tab-separated-values, 13903 data points
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  • 32
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    SFB754 Nitrogen and carbon fixation and N-cycle gene abundance (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Dinitrogen (N2) and carbon (C) fixation rates were measured on 9 cruises (see Table C17) using shipboard incubation experiments, complemented with nutrient and oxygen manipulations. During cruises M77/3, M77/4 and M80/2, N2 fixation was measured using the bubble addition method following Montoya et al (1996). During M80/2 a novel method based on 360 15N2 gas pre-dissolution, which was developed by Mohr et al. (2010), was tested in parallel to the classic method. An underestimation of N2 fixation rates by the classic method has been observed (Großkopf et al., 2012) and therefore the novel 'pre-dissolution method' was applied during the following cruises (M83/1, M90, M91, M93, M97, M104, M107). Single cell N2 fixation rates to differentiate the contribution of different clades of N2 fixers were measured using a NanoSIMS (Martinez-Perez et al., 2016).
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754
    Type: Dataset
    Format: 10 datasets
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  • 33
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    SFB754 Microbial oxygen consumption and nitrogen loss processes (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Potential rates for microaerobic respiration and aerobic organic matter degradation as a source of ammonia (NH4+) in the Peruvian OMZ was assessed using an 18O2 labelling approach suitable for microaerobic respiration (Holtappels et al., 2014). Further, the effects of O2 depletion associated with marine snow particles on microbial respiration was explored by combining 18O2 labelling experiments with in-situ particle size analysis and modelling of aggregate-size dependent respiration (Kalvelage et al., 2015). Anammox, denitrification, and nitrification, as well as N2O production rates were measured on several cruises (Kalvelage et al., 2011; Löscher et al., 2012; Callbeck et al., 2017; Bourbonnais et al., 2017; Frey et al., 2020) using isotope fractionation studies, 15N tracer additions, and inhibitor studies.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754
    Type: Dataset
    Format: 10 datasets
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  • 34
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    Macrofauna abundance from multicorer and box corer samples for seven stations from the Weddell Sea (POLARSTERN cruise PS 96, ANT-XXXI/2, December 2015–February 2016) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset provides abundance data for macrofaunal taxa determined from sediment samples collected in the Weddell Sea (mostly South-Eastern). A minimum of three samples (cores) were collected at each station with a MUC10 multicorer or a giant box corer during PS96. Sediment cores were sliced into depth layers (stations 017, 026, 061, 072: 0–2cm, 2–5cm, 5– bottom; stations 001, 037, 048: 0–1cm, 1–2cm, 2–3cm, 3–4cm, 4–5cm, 5– bottom) and preserved in 4%-borax-buffered formaldehyde solution prior to sieving (sieve size 500 µm, 1000 µm) and counting (detailed methods in Säring et al. submitted). Abundance is presented per depth layer (note different slice volume) as ind./m². Data from different size fractions are available upon request. Macrofauna communities included individuals from 18 higher taxa. The macrofauna abundance data are part of a larger ecological study on meio- and macrofauna communities and their relation to environmental conditions and remineralisation at the sediment-water interface (see Related to below). For the larger study, sediment cores from which macrofauna abundance data are deposited here were also used for microcosm incubations: Untreated incubations (Benthic ecosystem Function Experiments BEFEx), and incubations with and without microalgae addition (Algae Feeding Experiment AFEx). Cores from BEFEx and AFEx without algae are labeled with NT (not treated), cores from AFEx with algae are labeled as T (treated).
    Keywords: Amphipoda; Annelida; Antarctic; ANT-XXXI/2 FROSN; Bivalvia; box corer; Chordata; Cnidaria; community composition; Copepoda; Counting 〉500 µm fraction; Cruise/expedition; Cumacea; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Elevation of event; Event label; Experiment; fauna abundance; Gastropoda; Gear; Gear identification number; Giant box corer; GKG; Isopoda; Kinorhyncha; Latitude of event; Longitude of event; Macrobenthos; MUC; MultiCorer; Mysida; Nematoda; Ostracoda; Pantopoda; Polarstern; Porifera; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS96; PS96/001-7; PS96/001-8; PS96/017-3; PS96/026-11; PS96/026-7; PS96/026-8; PS96/037-8; PS96/037-9; PS96/048-7; PS96/048-8; PS96/061-5; PS96/061-6; PS96/072-9; Sample ID; sediment depth layers; Sipuncula; Southern Ocean; SPP1158; Station label; Tanaidacea; taxa; Treatment; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 4077 data points
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  • 35
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    Biotic water-column characteristics for stations from the North-Western Weddell Sea, Bransfield Strait, and Drake Passage (POLARSTERN cruise PS 81, ANT-XXIX/3, January-March 2013) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Around the Antarctic Peninsula (North-Western Weddell Sea, Bransfield Strait, Drake Passage) water samples for measurements of chlorophyll-a were collected with Niskin bottles mounted on a CTD rosette. At each station samples were taken at two depths, the chlorophyll-a maximum (Cmax, defined as the water depth with maximum fluorescence detected during in-situ profiles) and close to the seafloor (bottom). Water samples were poured over a 100-µm sieve to remove larger particles and filtered over glass fibre filters GF/C at approximately 250 mbar. Colouring of filters determined the amount of sea water used (3–5l). Filters were stored at −80°C. Chloroplastic pigments were extracted with 10ml acetone (90%), determined using a fluorimeter and expressed in µg/l. For details see Hauquier et al. (2015) and Veit-Köhler et al. (2018).
    Keywords: Antarctic; ANT-XXIX/3; Chlorophyll a; Cruise/expedition; CTD; CTD/Rosette; CTD-RO; Date; Date/Time of event; DEPTH, water; Elevation of event; Event label; Fluorometry; Latitude of event; Longitude of event; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS81; PS81/116-1; PS81/118-1; PS81/120-1; PS81/162-1; PS81/163-1; PS81/190-1; PS81/193-1; PS81/196-1; PS81/202-1; PS81/215-1; PS81/218-1; PS81/225-1; PS81/230-1; PS81/235-1; PS81/238-2; PS81/241-1; PS81/243-1; PS81/247-2; PS81/250-1; Sample type; Sample volume; Scotia Sea; Southern Ocean; SPP1158; Station label; Water-column parameters; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 228 data points
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  • 36
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    Abiotic and biotic sediment characteristics for stations from the North-Western Weddell Sea, Bransfield Strait, and Drake Passage (POLARSTERN cruise PS 81, ANT-XXIX/3, January-March 2013) (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Around the Antarctic Peninsula (North-Western Weddell Sea, Bransfield Strait, Drake Passage) sediment samples were collected with a MUC6 multicorer. Cores were subsampled for environmental parameters with cut-off 10-ml syringes. Subsamples for determination of grain size, total organic carbon (TOC) and total nitrogen (TN) were stored at −20°C. Samples for pigment analyses were stored at −80°C. Subsamples were sliced in 1-cm slices (0–1 cm, 1–2 cm, 2–3 cm, 3–4 cm, 4–5 cm). Sediment grain sizes were determined with a Malvern Mastersizer 2000 and expressed as relative percentages of the different size fractions. Total organic carbon (TOC) and total nitrogen (TN) were determined from freeze-dried samples by elemental analysis. Prior to combustion samples used for TOC analyses were acidified with 2% HCl in order to remove inorganic carbon. Pigments were extracted with 10 ml acetone (90%) from lyophilised sediment, separated by HPLC (High Performance Liquid Chromatography) and determined with a fluorescence detector: Chlorophyll-a, phaeophytin and phorbide are expressed in µg/g. For details see Hauquier et al. (2015) and Veit-Köhler et al. (2018).
    Keywords: Antarctic; ANT-XXIX/3; Carbon, organic, total; Chlorophyll a per unit sediment mass; Cruise/expedition; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DP-243; DP-250; Elevation of event; Event label; Fluorometry; Giant box corer; GKG; Grain Size; Laser diffraction particle size analyser (Malvern Mastersizer 2000); Longitude of event; MUC; MUC/GKG; MultiCorer; Nitrogen, total; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; organic matter; Phaeophytin per unit sediment mass; Phorbide per unit sediment mass; pigments; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS81; PS81/118-10; PS81/118-9; PS81/120-5; PS81/120-6; PS81/120-7; PS81/162-3; PS81/162-4; PS81/162-5; PS81/163-4; PS81/163-5; PS81/163-6; PS81/185-2; PS81/188-3; PS81/193-4; PS81/193-5; PS81/193-6; PS81/196-5; PS81/196-6; PS81/196-7; PS81/202-3; PS81/202-4; PS81/202-5; PS81/217-3; PS81/218-4; PS81/218-5; PS81/218-6; PS81/225-3; PS81/225-4; PS81/225-5; PS81/235-4; PS81/235-5; PS81/235-6; PS81/238-4; PS81/238-5; PS81/238-6; PS81/243-3; PS81/243-5; PS81/244-5; PS81/244-6; PS81/244-7; PS81/247-4; PS81/247-7; PS81/250-3; PS81/250-4; PS81/250-5; Sample ID; Scotia Sea; sediment parameters; Size fraction 〈 0.004 mm, clay; Size fraction 〉 1 mm, gravel; Size fraction 0.063-0.004 mm, silt; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Southern Ocean; SPP1158; Station label; W-120; W-163; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 4650 data points
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  • 37
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    Distribution of lagoons along the Arctic coast from the Taimyr Peninsula in Russia to the Tuktoyaktuk Peninsula in Canada (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: KML files showing the distribution of lagoons wider than 500 m along the Arctic coast from the Taimyr Peninsula in Russia to the Tuktoyaktuk Peninsula in Canada. There are two files: one specific to thermokarst lagoons and the other showing all lagoons. Interconnected lagoons are marked as one system. The criteria for the identification of thermokarst lagoons is described in Angelopoulos et al. (2021).
    Keywords: Alas; Arctic_lagoons; Binary Object; Binary Object (File Size); Bykovsky; CACOON; CATS; CATS - The Changing Arctic Transpolar System; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; electrical resistivity; File content; Lena Delta; Near surface geophysics; NUNATARYUK; NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Satellite imagery; SATI; Submarine Permafrost; subsea permafrost; talik; Thermokarst Lagoon
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 38
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    Benthic foraminifera assemblage of sediment core DA17-NG-ST03-039G (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Benthic foraminifera assemblage data for marine sediment core DA17-NG-ST03-039G retrieved in the Westwind Trough on the Northeast Greenland Shelf. The marine gravity core was collected during the NorthGreen2017 cruise on board the research vessel RV Dana. The data covers the period 13.3 to 3.9 cal ka BP. The benthic foraminifera assemblage data was carried out in order to reconstruct the oceanographic development on the Northeast Greenland shelf.
    Keywords: Accumulation rate, agglutinated benthic foraminifera by number; Accumulation rate, calcareous benthic foraminifera by number; Accumulation rate, number of benthic foraminifera; Accumulation rate, planktic foraminifera by number; Adercotryma glomeratum; AGE; Benthic foraminifera assemblages; Buliminella elegantissima; Calculated; Cassidulina neoteretis; Cassidulina reniforme; Counting 63-1000 µm fraction; DA17-NG-ST03-039G; Dana II; deglacial; DEPTH, sediment/rock; Earlandammina inconspicua; Elphidium albiumbilicatum; Elphidium clavatum; Epistominella arctica; Foraminifera, benthic; Foraminifera, benthic, agglutinated/calcareous ratio; Foraminifera, benthic agglutinated; Foraminifera, benthic atlantic species; Foraminifera, benthic calcareous; Foraminifera, benthic productivity group; Foraminifera, planktic; GC; Gravity corer; Holocene; Islandiella norcrossi; Lagenammina difflugiformis; Marine Sediment Core; Nonionellina labradorica; Northeast Greenland; NorthGreen2017; Portatrochammina bipolaris; Psammosphera fusca; Recurvoides trochamminiformis; Spiroplectammina biformis; Stainforthia feylingi; Stainforthia horvathi; Textularia torquata
    Type: Dataset
    Format: text/tab-separated-values, 1595 data points
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  • 39
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    Spatial extent of thermokarst lagoons along pan-Arctic coasts - an upscaling approach (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Along the ice rich pan-Arctic permafrost coasts thermokarst lagoons are a common landscape feature. These lagoons form when thermokarst lakes are inundated permanently or intermittently by the sea. This is the first estimation of the area of pan-Arctic thermokarst lagoons based on the mapping of 79 lagoons in 5 representative arctic regions: Mackenzie Delta (CA), Theshekpuk Lake coast (USA), Baldwin Peninsula (USA), Tiksi coast (RU), Lena Delta (RU). The extent of each of the lagoons was determined using the Global Surface Water dataset which is based on Landsat-5, -7, and -8 satellite images from 1984 to 2018 at 30m resolution (Pekel et al., 2016). Water bodies were defined by a water occurrence threshold of 〉75% over this time period. The raster dataset was vectorized and smaller geometric errors, which occurred during vectorization, were solved with the Fix Geometry function in QGIS3.6. The lagoon polygons were selected manually and these water bodies were split from the ocean by using the function “split by line”. The calculation of the polygon area is based on the re-projection in EPSG:32608, EPSG:26905, EPSG:32604, EPSG:32652 for Mackenzie Delta, Teshekpuk Lake coast, Baldwin Peninsula, Tiksi and Lena Delta coast respectively. The lagoon selection is based on the published dataset https://doi.org/10.1594/PANGAEA.934158. The dataset consists of a polygon shape file for the 79 extracted thermokarst lagoons, a point shape file with coordinates for all lagoons and a data sheet.
    Keywords: Arctic_lagoons_1984-2018; Arctic lagoons; Binary Object; Binary Object (File Size); CACOON; Carbon in Permafrost / Kohlenstoff im Permafrost; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; distribution; File content; KoPF; lagoon area; Permafrost; PETA-CARB; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Satellite imagery; SATI; size
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 40
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    Continuous thermosalinograph oceanography along RV SONNE cruise SO276 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after 12 hours. However, on this cruise only SMB_B was working properly. While temperature is taken at the water inlet in about 3 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No calibration was performed, neither for temperature nor for salinity. For details to all processing steps see Data Processing Report.
    Keywords: Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; MerMet 17-6; Quality flag, salinity; Quality flag, water temperature; Salinity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO276; SO276_0_Underway-3; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 277014 data points
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  • 41
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    Hydroacoustic backscatter recorded by buoy 2020AZFP1 in the central Arctic Ocean during Sep 2020 - May 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset contains hydroacoustic measurements collected by an autonomous ice-tethered bio-physical observatory during its drift across the Central Arctic Ocean from the end of MOSAiC in September 2020 to the next spring in May 2021. The measurements were performed by an Acoustic Zooplankton and Fish Profiler (AZFP, ASL) with factory calibrations. Data are provided as volume backscatter (Sv, in dB re 1 m⁻¹). We provide data for the frequencies 67, 125, 200 and 455 kHz. These files contain the quality-controlled raw data. The data were cleaned, processed and analysed in the paper Sea-ice decline makes zooplankton stay deeper for longer by Flores, Veyssiere et al. (submitted to Nature Cliimate Change), which contains a detailed description of the instrument and the measurement settings. The format can be readily ingested in the hydroacoustic data processing application EchoView.
    Keywords: 2020AZFP1; Acoustical Zoological Fish Profiler; Arctic_PASSION; Arctic Ocean; Arctic PASSION; AZFP; Binary Object; central Arctic Ocean; DATE/TIME; ECOLIGHT; Ecosystem functions controlled by sea ice and light in a changing Arctic; File content; FRAM; FRontiers in Arctic marine Monitoring; Hydroacoustic backscatter; LATITUDE; LONGITUDE; MIDO; Mosaic; MOSAiC; MOSAIC_PO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Multidisciplinary Ice-based Distributed Observatory; Pan-Arctic observing System of Systems: Implementing Observations for societal Needs; Polarstern; PS122/5; PS122/5_58-163; vertical migration; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 42
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    Multibeam bathymetry raw data (Kongsberg EM710 entire dataset) of RV SONNE during cruise SO276 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Raw multibeam bathymetry data were recorded on RV SONNE during SO276 using Kongsberg EM710 multibeam echosounder. The cruise took place between 2020-06-22 - 2020-07-26 in the Atlantic Ocean. Data were recorded throughout the whole time spend outside EEZs in areas shallower than 1500m with an approximate average depth of around 400m. To enhance MBES data accuracy, CTD casts were made in the working area prior to each MBES survey using CTD rosette to raytrace beams with the obtained sound velocity profiles (SVP). During transits, SVPs from the WOA13 were applied via Sound Speed Manager Software to the data directly during acquisition with SIS Seafloor Information System. Data are unprocessed and can therefore contain incorrect depth measurements (artifacts) without further processing. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Data acquisition and provision were accomplished within work package 2 of the EU Horizon 2020 project iAtlantic- Integrated Assessment of Atlantic Marine Ecosystem in Space and Time (https://www.iatlantic.eu/) IceAge project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM710; Event label; File content; iAtlantic; IceAge; Icelandic marine Animals: Genetics and Ecology; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; MerMet 17-6; Multibeam Echosounder; Number of pings; raw data; Ship speed; SO276; SO276_0_Underway-4; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM710 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 2058 data points
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  • 43
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    Dissolved methane concentration variability along freshwater-sea continuum at Heligoland, Southern North Sea, 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Heligoland (54.1833 N, 7.8667 E) at about 9-12m depth (depending on the tide). The data was obtained between 27 April and 28 October in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4,). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from UW-node Heligoland (Fischer, Philipp; Happel, Lea; Brand, Markus; Eickelmann, Laura; Lienkämper, Miriam; Bussmann, Ingeborg; Anselm, Norbert; Brix, Holger (2022): Hydrographical time series data of Helgoland, Southern North Sea, 2021. PANGAEA, https://doi.org/10.1594/PANGAEA.950173). A gap in the salinity data was replaced with the median value of the observed time span (31.66). For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8. Watt, a spike and gradient value of 1. For a more detailed description see the article cited in References.
    Keywords: 2021_Heligoland_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: text/tab-separated-values, 200282 data points
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  • 44
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    Dissolved methane concentration variability along freshwater-sea continuum at Geesthacht, northern Germany, 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Geesthacht (53.4112 N, 10.4032 E) at about 2 meter depth. The data was obtained between 14 April and 29 September 2021) in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4,). Methane concentrations were calculated according to manufacturer's instructions. Data on temperature were provided by from Vattenfall, Kernkraftwerk Krümel, a salinity of 0.01 was assumed. Special thanks to the colleagues from Vattenfall for the logistic and technical support. For the quality control of the data a local range of 0.1 – 5000 nmol/L was set, a technical range for the pump power 2 – 8. Watt, a spike and gradient value of 1. For a more detailed description see the article cited in References.
    Keywords: 2021_Geesthacht_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: text/tab-separated-values, 220976 data points
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  • 45
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    Physical oceanography during Alkor cruise AL540 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This data set comprises raw CTD data collected during the RV ALKOR cruise AL540 conducted in July 2020 (July 21st to July 31st 2020) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year MARSYS teaching cruise program of the University of Hamburg GFP20-1_047. The cruises are designed to train students in sampling methods targeting the different compartments of a marine ecosystem.
    Keywords: AL540; AL540_10-1; AL540_1-1; AL540_11-2; AL540_12-1; AL540_13-1; AL540_14-2; AL540_15-1; AL540_16-1; AL540_17-2; AL540_18-1; AL540_19-2; AL540_20-1; AL540_21-2; AL540_2-2; AL540_22-1; AL540_23-2; AL540_24-1; AL540_25-2; AL540_26-1; AL540_27-1; AL540_28-2; AL540_29-1; AL540_30-2; AL540_3-1; AL540_31-1; AL540_32-1; AL540_34-2; AL540_35-1; AL540_36-2; AL540_37-1; AL540_38-1; AL540_39-1; AL540_40-1; AL540_40-2; AL540_42-2; AL540_43-1; AL540_5-2; AL540_6-1; AL540_7-5; AL540_8-1; AL540_9-2; Alkor (1990); Baltic Sea; Chlorophyll a; Conductivity; Cruise/expedition; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Event label; Field measurements; GPF 19-2_026; LATITUDE; LONGITUDE; MSN; Multiparameter probe (CTD), Sea & Sun Technology, CTD90M [Series II]; coupled with Fluorometer, Turner Designs, Cyclops-7 [for Chlorphyll a]; coupled with Oxygen sensor, AMT Analysenmesstechnik GmbH; Multiple opening/closing net; Oxygen, dissolved; Oxygen saturation; pH; Pressure, water; RV ALKOR; Salinity; Station label; summer; Teaching cruise; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 380523 data points
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  • 46
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    d13C values measured by Secondary Ion Mass Spectrometry in shells of the planktic foraminifer Morozovella velascoensis from ODP Site 865 (Central Pacific) across the PETM (~56 Ma) (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: Foraminiferal shells of the species M. velascoensis from sediments spanning ~650 ka across the PETM section of ODP Site 865, Central Pacific, were cast with 3 grains of UWC-3 calcite standard (Kozdon et al., 2009) in the center of a 25 mm round epoxy mount, ground to the level of best exposure, polished, cleaned, and Au-coated. Prior to geochemical analysis, shells were examined by Scanning Electron Microscopy (SEM) to identify subdomains suitable for in-situ d13C and Mg/Ca ratio measurements and to avoid diagenetically altered zones within each shell. In-situ d13C measurements were performed with ~7 µm beam spot size in the WiscSIMS Laboratory at UW-Madison by a CAMECA ims-1280 large radius multicollector ion microprobe) using the protocols described in a previous study (Kozdon et al., 2018). The in-situ d13C microanalyses primarily targeted subdomains located at the base of pustular outgrowths (muricae) along the chamber walls of each shell. Previous studies have shown that these subdomains are less susceptible to post-depositional alteration than the rest of the shell (Kozdon et al., 2011; Kozdon et al., 2013). Between one and five SIMS d13C microanalyses were performed for each shell. Reproducibility of the individual spot analysis of UWC-3 standard (d13C = -0.91‰ V-PDB, Kozdon et al., 2011) bracketing samples is on average 0.7‰ (± 2 SD).
    Keywords: 143-865C; d13C; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Event label; Foraminifera; Hole; Identification; Interval; Joides Resolution; Large radius multicollector ion microprobe, CAMECA, ims-1280; Leg143; Morozovella velascoensis, δ13C; North Pacific Ocean; PETM; Sample code/label; Section; SIMS; Size fraction
    Type: Dataset
    Format: text/tab-separated-values, 434 data points
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  • 47
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    Body mass-density of Cyclothone species from the SUMMER cruise in Northeast Atlantic Ocean and Mediterranean Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    Description: This dataset contains the values of standard length, wet weight, and body mass-density of Cyclothone spp. measured during the SUMMER cruise (from 30th September to 18th October 2020). Samples were obtained with the "Mesopelagos" midwater trawl during day and night hauls carried out from the surface to 700-800 m depth. The Mesopelagos net consists of graded-mesh netting starting with 30 mm and ending with 4 mm. The specimens collected were immediately identified and measured (standard length, SL). Body-mass densities (ρ) of Cyclothone braueri, C. pseudopallida, C. pygmaea and C. pallida were determined on board via a density-bottle method (Greenlaw, 1977; Mikami et al., 2000).
    Keywords: 29SG20200929; 29SG20200929_1-PEL05; 29SG20200929_1-PEL06; 29SG20200929_2-PEL07; 29SG20200929_3-PEL15; 29SG20200929_3-PEL16; 29SG20200929_3-PEL17; 29SG20200929_4-PEL22; Alboran Sea, Mediterranean Sea; Balearic Islands, western Mediterranean Sea; BATHYPELAGIC; Biomass and Active Flux in the Bathypelagic Zone; body-mass density; bristlemouth; Caliper; Code; CTD; DATE/TIME; Density, mass density; Density-bottle method; DEPTH, water; Estructura y dinámica del ecosistema bentopelágico de talud en dos zonas oligotróficas del Mediterráneo: una aproximación multidisciplinar y a distintas escalas temporales en las Islas Baleares; Event label; fatty-tissue; Fish, body mass density; Fish, standard length; Fish, wet weighted; Gas; Gulf of Cádiz, Atlantic Ocean; Histology; ICM_Excellence_Centre; IDEADOS; LATITUDE; Light mode; LONGITUDE; Mesopelagos; micronekton; Midwater trawl, Mesopelagos (Meillat, 2012); PEL05; PEL06; PEL07; PEL15; PEL16; PEL17; PEL22; Sarmiento de Gamboa; Sea off Lisbon, Atlantic Ocean; Severo Ochoa Centre of Excellence; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Station label; SUMMER; Sustainable Management of Mesopelagic Resources; swimbladder; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; Visual observation; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1024 data points
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  • 48
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    Below-ground carbon stocks and soil properties in the central Lena River Delta, Kurungnakh and Samoylov Islands from 12 permafrost profiles sampled in 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-13
    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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  • 49
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    PRESSurE River Chemistry Time Series (Nepal) (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-06-12
    Description: Abstract
    Description: River water and suspended sediment samples were collected between 2015 and 2018 from the Narayani, Saptakoshi and Sunkoshi rivers in Nepal. Samples formed part of the Perturbations of Earth Surface Processes by Large Earthquakes PRESSurE Project (https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/). This project aims to better understand the role of earthquakes on earth surface processes. Hydrological stations were installed on the rivers draining the epicentral area following the April 2015 Gorkha earthquake (Mw 7.9). The stations were operated for four consecutive monsoon seasons. All stations were equipped with river stage height measurements and manned daily for sampling. A small batch of river water samples were also collected from the Narayani River. These samples were collected upstream of Narayanghat using a raft between 2015 and 2017. These samples were collected at varying depths in the river. Dissolved river water ion concentrations (N=672) and sediment-adsorbed cation concentrations (N=74) were determined. Radiogenic strontium isotopes (87Sr/86Sr) of both phases were measured for a small number of paired samples (N=9). Dissolved river water anion concentrations were measured at the GFZ German Research Centre for Geosciences, Potsdam, Germany. Dissolved river water cation concentrations were measured at GFZ German Research Centre for Geosciences, Potsdam, Germany and the Department of Earth Sciences, University of Cambridge, Cambridge, UK. Sediment-adsorbed cation concentrations and radiogenic strontium isotope ratios were measured at the Department of Earth Sciences, University of Cambridge, Cambridge, UK.
    Description: Other
    Description: This data set forms part of the Perturbations of Earth Surface Processes by Large Earthquakes PRESSurE Project (https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/). Strong earthquakes cause transient perturbations to the near Earth’s surface system. These include widespread land-sliding, subsequent mass movement, and the loading of rivers with sediments. In addition, brittle-rock deformation occurs during the event, forming cracks that affect rock strength and hydrological conductivity. Often overlooked in the immediate aftermath of an earthquake, these perturbations can represent a major part of the overall disaster with impacts that can persist for years before restoring to background conditions. This relaxation phase is therefore part of seismically induced earthquake changes and needs to be monitored to understand the full impact on the Earth system. The fundamental questions motivating the PRESSurE project are ‘How do earthquakes impact erosion during and following seismic activity?’ and ‘What is the role of earthquakes on Himalayan landscape evolution?’. In early June, shortly after the April 2015 Gorkha earthquake, we installed twelve hydrological stations covering all rivers draining the epicentral area. Each station was equipped for daily river water and suspended sediment sampling. Samples are filtered and packed in Nepal, before being shipped to the sediment lab at GFZ for further analysis (SedLab: https://labinfrastructure.geo-x.net/laboratories/91). The sampling network is complemented by an array of seismometers, repeated satellite image observations, and on-side stage high recording. This array is optimized for the monitoring of Earth surface processes (land-sliding, mass wasting and debris flows) and for the monitoring of properties of the shallow subsurface by coda analysis. The monitoring network is the first and most complete observatory to monitor the perturbation of Earth surface process by a major earthquake.
    Type: Collection , Collection
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  • 50
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    Seismic data, seismic crustal velocity and anisotropy models for Sri Lanka (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-06-12
    Description: Abstract
    Description: The data present the intermediate to final results when we introduce a two-step fully Bayesian approach with coupled uncertainty propagation for estimating crustal isotropic and radial anisotropy models using Rayleigh and Love dispersion data along with receiver functions in Sri Lanka. In the first step, 2D surface wave tomography is used to generate period-wise ambient noise phase velocity maps for Rayleigh and Love waves along with their associated uncertainties. Here we provide the inter-station dispersion data (folder: 2024-003_1_Ke-et-al_interstation_surface_ dispersion_curves; ASCII) for the 2D surface wave tomography process, along with the results of the tomography, including the velocity maps (folder: 2024-003_Ke-et-al_2_velocity_map; ASCII). In addition, the results (folder: 2024-003_3_Ke-et-al_2Dmcmc_inversion_results) are available in MAT format, along with a MATLAB script to allow users to extract the data independently. In a second step, local surface wave dispersion and model errors are derived from the velocity maps. The surface wave dispersion receiver functions are jointly inverted to obtain the isotropic mean shear wave and radial anisotropy profiles as a function of depth at each station site. The input data (folder: 2024-003_Ke-et-al_4_inv_data; ASCII) of surface dispersion and receiver function for the inversion are presented here, as well as the final result model from the inversion (folder: 2024-003_Ke-et-al_5_model; ASCII and .dat formats).
    Keywords: seismic crustal structure ; Bayesian joint inversion ; seismic ambient noise ; receiver functions ; radial anisotropy ; Bayesian joint inversion ; seismic ambient noise ; receiver functions ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Dataset , Dataset
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  • 51
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    PRESSurE suspended sediment data time series, Gorkha earthquake, Nepal (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-06-12
    Description: Abstract
    Description: This data set was taken within the Perturbations of Earth Surface Processes by Large Earthquakes PRESSurE Project (https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/), Hazard and Risk Team (HART) project by the German Center for Geosciences GFZ Potsdam. This project aims to better understand the role of earthquakes on earth surface processes. Strong earthquakes cause transient perturbations of the near Earth’s surface system. These include the widespread landsliding and subsequent mass movement and the loading of rivers with sediments. In addition, rock mass is shattered during the event, forming cracks that affect rock strength and hydrological conductivity. Often overlooked in the immediate aftermath of an earthquake, these perturbations can represent a major part of the overall disaster with an impact that can last for years before restoring to background conditions. Thus, the relaxation phase is part of the seismical-ly induced change by an earthquake and needs to be monitored in order to understand the full impact of earthquakes on the Earth system. Following the April 2015 Mw 7.9 Gorkha earthquake, 6 hydrological stations were installed on the Buri Gandaki, Trisuli, Bhotekoshi, Sunkoshi, Koshi and Kahole Khola rivers, draining the epicentral area. The stations were operated for 4 monsoon sea-sons from May/June 2015 to October 2018. The stations were equipped with river stage height measurements and manned daily river sampling for suspended river sediments and water geo-chemistry. In this data publication we present the data from the small head water catchment Ka-hule Khole (see also Andermann et al. 2021, https://doi.org/10.5880/GFZ.4.6.2021.003). Bhotekoshi at Barabise, Sunkoshi at Khurkot and Koshi at Chatara. The samples were filtered at the sampling location and analyzed at the GFZ Potsdam SedLab, section 4.6 Geomorphology, for suspended sed-iment concentration and grainsize distribution. A small sample batch of suspended sediment concentrations was published already in Cook et al. 2018. The samples BA_01.07.2016 – BA_25.07.2016 have been published in this manuscript in figure 4. This data publication contains 920 suspended sediment measurements and respective grainsize distributions. List after station: Kahule Khola 230 samples, Bhotekoshi 282, Sunkoshi 189, and Sapta Koshi 219 samples.
    Type: Dataset , Dataset
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  • 52
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    Bacon age-depth model of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This model was established based on the Bayesian method with a hiatus at 138 cm and calibrated using the IntCal20 dataset via the Bacon function in the R-package rbacon. A reservoir effect of approximately 351 ± 24 radiocarbon years has been determined by the dated surface sample (0−0.5 cm). We assumed a constant reservoir effect over time and therefore subtracted a value of 351 years from all radiocarbon ages.
    Keywords: Age model, Bacon (Blaauw & Christen, 2011); AWI Arctic Land Expedition; Calendar age; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; radiocarbon age; RU-Land_2021_Yakutia; Siberia; Yakutsk
    Type: Dataset
    Format: text/tab-separated-values, 2184 data points
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  • 53
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    Element composition of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Element composition including total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), and total nitrogen (TN), measured with a soli TOC cube (Elementar) and a rapid MAX N exceed (Elementar) at the Carbon and Nitrogen Laboratory of AWI in Potsdam. The minimum detectable concentration for natural sediment samples is 0.1% for both machines.
    Keywords: AGE; AWI Arctic Land Expedition; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon Analyzer, Elementar, soli TOC cube; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Nitrogen, total; Nitrogen Analyzer, Elementar, rapid MAX N exceed; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; radiocarbon age; RU-Land_2021_Yakutia; Siberia; TC; TIC; TN; TOC; Yakutsk
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
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  • 54
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    Stable carbon isotopes of organic matter of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Stable carbon isotopes of organic matter (d13C), measured with a Delta V Advantage Mass Spectrometer at the ISOLAB Facility of AWI in Potsdam. All isotopic values are reported in standard δ-notation in per mil (‰) relative to VPDB.
    Keywords: AGE; AWI Arctic Land Expedition; d13C; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Mass spectrometer Thermo Delta V Advantage; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; RU-Land_2021_Yakutia; Siberia; TOC; Yakutsk; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 53 data points
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  • 55
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    X-ray fluorescence (XRF) scanning data of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: X-ray fluorescence (XRF) scanning data, scanned with an AvaaTech XRF core scanner at AWI in Potsdam. All elements were measured at X-ray voltages of 10 kV and 30 kV and currents of 0.45 mA and 0.15 mA, respectively, with a step size of 0.5 cm and an exposure time of 10 s. The data are semiquantitative and provide relative fluctuations in the chemical element compositions as counts per second (cps).
    Keywords: AGE; Aluminium; Argon; AWI Arctic Land Expedition; Bromine; Calcium; Chlorine; Copper; DEPTH, sediment/rock; EN21103; Geochemical proxies; Iron; Lake sediment core; Lake Ulu; Magnesium; Manganese; Molybdenum; Nickel; Niobium; Oymyakon; Phosphorus; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; Potassium; Rhodium, coherent scattering intensity; Rhodium, incoherent scattering intensity; Rubidium; RU-Land_2021_Yakutia; Siberia; Silicon; Strontium; Sulfur; Titanium; Vanadium; X-ray fluorescence core scanner (XRF), Avaatech; XRF; Yakutsk; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 57078 data points
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  • 56
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    Magnetic raw data (SENSYS MXV3 system entire dataset) during campaign AFM-NIhK-2021-01, Ahlen-Falkenberger Moor (area 149-150), Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 11 FGM650/3 probes with a distance of 0.25m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R).
    Keywords: AFM_2021_01_area_149_150; AFM-NIhK-2021-01; archaeology; DATE/TIME; Fluxgate Magnetometer, Sensys, FGM650/3, 2 probes with 650mm basedistance; coupled with GPS, Stonex, S10, SAPOS-HEPS correction; mounted on MXV3, Sensys, 11 sensors, sensor distance 0.25m; followed by combining GPS and magentic data in DLMGPS, Sensys; Fluxgate Magnetometer, Sensys, FGM650/3, 2 probes with 650mm basedistance; mounted on MXV3, Sensys; geology; GPS, Stonex, S09/S10; Real-time positioning, Sapos, HEPS; LATITUDE; Latitude (EPSG); LONGITUDE; Longitude (EPSG); Magnetic field, Z-gradient; magnetics; Sensor, number; Track ID; Wanna, Cuxhaven, Lower Saxony, Germany
    Type: Dataset
    Format: text/tab-separated-values, 64779000 data points
    Location Call Number Expected Availability
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  • 57
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    Magnetic raw data (SENSYS MXV3 system entire dataset) during campaign AFM-NIhK-2019-02, Ahlen-Falkenberger Moor (area 49), Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R).
    Keywords: AFM_2019_02_area_49; AFM-NIhK-2019-02; archaeology; DATE/TIME; Fluxgate Magnetometer, Sensys, FGM650/3, 2 probes with 650mm basedistance; coupled with GPS, Stonex, S10, SAPOS-HEPS correction; mounted on MXV3, Sensys, 6 sensors, sensor distance 0.5m; followed by combining GPS and magentic data in DLMGPS, Sensys; geology; GPS, Stonex, S09/S10; Real-time positioning, Sapos, HEPS; LATITUDE; Latitude (EPSG); LONGITUDE; Longitude (EPSG); Magnetic field, Z-gradient; magnetics; Sensor, number; Track ID; Wanna, Cuxhaven, Lower Saxony, Germany
    Type: Dataset
    Format: text/tab-separated-values, 16696500 data points
    Location Call Number Expected Availability
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  • 58
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    Magnetic raw data (SENSYS MXV3 system entire dataset) during campaign AFM-NIhK-2019-02, Ahlen-Falkenberger Moor (area 81), Germany (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: This is the measurement data from the geomagnetic prospection of the Ahlen-Falkenberger Moor (district of Cuxhaven, Lower Saxony, Germany) as part of the research project Preserved in the bog - relics of prehistoric settlement landscapes in the Elbe-Weser triangle funded by Niedersachsen Vorab. A total of about 800 ha were measured. The aim was to locate archaeological sites as well as landscape features. The measurements were carried out with a MXV3 system from Sensys with 6 FGM650/3 probes with a distance of 0.5m. Each probe consists of 2 sensors with 650mm basedistance and gives the gradient of the vertical component of the magnetic field (Z). The location was measured using a Stonex S10 GPS with Sapos HEPS correction data, resulting in a horizontal position accuracy of 0.01 – 0.02m and an elevation accuracy of 0.02 – 0.03m. The data were exported using DLMGPS (Sensys), whereby the coordinates of the individual probes are automatically determined from the central GPS position on the device. The data were exported without automatic track compensation. Due to the system, the position data is in UTM32/ETRS84 (EPSG 4647) and for conformity with PANGAEA also in WGS84 (EPSG 4326) (conversion is done with spTransform in R).
    Keywords: AFM_2019_25_area_81; AFM-NIhK-2019-02; archaeology; DATE/TIME; Fluxgate Magnetometer, Sensys, FGM650/3, 2 probes with 650mm basedistance; coupled with GPS, Stonex, S10, SAPOS-HEPS correction; mounted on MXV3, Sensys, 6 sensors, sensor distance 0.5m; followed by combining GPS and magentic data in DLMGPS, Sensys; geology; GPS, Stonex, S09/S10; Real-time positioning, Sapos, HEPS; LATITUDE; Latitude (EPSG); LONGITUDE; Longitude (EPSG); Magnetic field, Z-gradient; magnetics; Sensor, number; Track ID; Wanna, Cuxhaven, Lower Saxony, Germany
    Type: Dataset
    Format: text/tab-separated-values, 44373000 data points
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  • 59
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    Aircraft measurements of the boundary layer structure over Nares Strait (Greenland) during campaign IKAPOS with POLAR 5 on 2010-06-18 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Gap flows and the stable boundary layer were studied in northwest Greenland during the aircraft-based experiment IKAPOS (Investigation of Katabatic winds and Polynyas during Summer) in June 2010. The measurements were performed using the research aircraft POLAR 5 of Alfred Wegener Institute (AWI, Bremerhaven, Wesche et al. 2016). Besides navigational and basic meteorological instrumentation, the aircraft was equipped with radiation and surface temperature sensors and with a turbulence measurement system. The calibration procedure is described in Drüe and Heinemann (2013). A detailed description of the experimental setup, the flight missions and the aircraft sensors are given in the field phase report (Heinemann et al. 2011) and in Heinemann (2018). The vertical profiles were flown as slantwise aircraft profiles (ascents or descents). The data were measured at a sampling rate of 100 Hz. For the profiles, a more convenient 1 Hz subset was extracted from the 100 Hz data set and turbulent fluctuations are filtered out using a low-pass filter of 0.05 Hz. Four flight missions were flown over the Nares Strait and the North Water (NOW) polynya: 15, 18, 22, and 23 June 2010. The data are consecutive vertical profiles flown along the Nares Strait and across Nares Strait at different positions (see Heinemann et al. 2011) for plots and coordinates of starting points (also included in the data). Data of temperature, potential temperature, specific humidity, wind speed and direction are included in the data set.
    Keywords: AC; aircraft; Aircraft; atmospheric boundary layer; Date/Time of event; Date/Time of event 2; Event label; IKAPOS; IKAPOS_20100616_A-B1; IKAPOS_20100616_A-Q1a; IKAPOS_20100616_Q1; IKAPOS_20100616_Q3; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Nares Strait; POLAR 5; Text file
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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  • 60
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    Aircraft measurements of the boundary layer structure over Nares Strait (Greenland) during campaign IKAPOS with POLAR 5 on 2010-06-15 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Gap flows and the stable boundary layer were studied in northwest Greenland during the aircraft-based experiment IKAPOS (Investigation of Katabatic winds and Polynyas during Summer) in June 2010. The measurements were performed using the research aircraft POLAR 5 of Alfred Wegener Institute (AWI, Bremerhaven, Wesche et al. 2016). Besides navigational and basic meteorological instrumentation, the aircraft was equipped with radiation and surface temperature sensors and with a turbulence measurement system. The calibration procedure is described in Drüe and Heinemann (2013). A detailed description of the experimental setup, the flight missions and the aircraft sensors are given in the field phase report (Heinemann et al. 2011) and in Heinemann (2018). The vertical profiles were flown as slantwise aircraft profiles (ascents or descents). The data were measured at a sampling rate of 100 Hz. For the profiles, a more convenient 1 Hz subset was extracted from the 100 Hz data set and turbulent fluctuations are filtered out using a low-pass filter of 0.05 Hz. Four flight missions were flown over the Nares Strait and the North Water (NOW) polynya: 15, 18, 22, and 23 June 2010. The data are consecutive vertical profiles flown along the Nares Strait and across Nares Strait at different positions (see Heinemann et al. 2011) for plots and coordinates of starting points (also included in the data). Data of temperature, potential temperature, specific humidity, wind speed and direction are included in the data set.
    Keywords: AC; aircraft; Aircraft; atmospheric boundary layer; Date/Time of event; Date/Time of event 2; Event label; IKAPOS; IKAPOS_20100615_A-B; IKAPOS_20100615_Q1; IKAPOS_20100615_Q2; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Nares Strait; POLAR 5; Text file
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
    Location Call Number Expected Availability
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  • 61
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    Shoreline movement of reef island Langkai, Spermonde Archipelago, Indonesia from 1999-2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The shoreline analysis of the reef island Langkai, SW Sulawesi, Indonesia is based on satellite images from 1999-2023. Transects (n=306) were used for shoreline analysis. Net shoreline movement and end point rate at each transect were calculated with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Carbonate Sedimentology; Change rate; Digital Shoreline Analysis System extension for ESRI ArcGIS, Thieler et al, 2009; Facies; Grain Size; Holocene; Langkai_sat; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Net shoreline movement; radiocarbon age; Satellite imagery; SATI; Southeast Asia; Spermonde Archipelago; Transect number
    Type: Dataset
    Format: text/tab-separated-values, 1530 data points
    Location Call Number Expected Availability
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  • 62
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    Raw grain sizes of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data set includes grain size distribution of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922).
    Keywords: AUG; Auger; Calculated average/mean values; Carbonate Sedimentology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dried and weighted; Dry sieving; Event label; Facies; Grain Size; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Sample ID; Sediment, dry mass; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm; Size fraction 0.250-0.125 mm; Size fraction 0.500-0.250 mm; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 8.0-4.0 mm, fine gravel; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
    Location Call Number Expected Availability
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  • 63
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    Skeletal component counts of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data set includes facies compositions of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction.
    Keywords: Aggregates; AUG; Auger; Bioclasts; Bivalvia; Bryozoa; Calculated average/mean values; Carbonate Sedimentology; Coral; Counting, microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Event label; Facies; Foraminifera; Gastropoda; Grain Size; Halimeda; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Rhodophyta; Sample ID; Serpulidae; Size fraction; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 3180 data points
    Location Call Number Expected Availability
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  • 64
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    Grain size statistics of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data set includes grain size statisticsof sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922). The subsequent analysis of grain size statistics was done in GRADISTAT v9.1 (Blott & Pye, 2001).
    Keywords: Arithmetic method of moments; AUG; Auger; Calculated; Calculated average/mean values; Carbonate Sedimentology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Facies; Geometric method of moments; Grain quartile 75%/Grain quartile 25%; Grain Size; Grain size, distribution, interquartile range; Grain size, distribution interquartile range; Grain size, distribution spread; Grain size, mean; Grain size description; Grain size parameters (Folk and Ward, 1957); Gravel; Holocene; Kurtosis; Kurtosis description; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; Logarithmic method of moments; Median, grain size; Mode, grain size; Mud; PCOR; Percentile 10; Percentile 90; Percussion corer; radiocarbon age; Ratio to 10 percentile; Sample ID; Sample type; Sand; Sediment type; Sieving, error relative; Size fraction 〈 0.002 mm, clay; Size fraction 0.004-0.002 mm, 8.0-9.0 phi, very fine silt; Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt; Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt; Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt; Size fraction 0.063-0.032 mm, 4.0-5.0 phi, very coarse silt; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 64-32 mm, very coarse gravel, pebble; Size fraction 8.0-4.0 mm, fine gravel; Skewness; Skewness description; Sorting; Sorting description; Southeast Asia; Spermonde Archipelago; Statistical analysis GRADISTAT package (Blott and Pye, 2001); Texture
    Type: Dataset
    Format: text/tab-separated-values, 3524 data points
    Location Call Number Expected Availability
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  • 65
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    Aircraft measurements of the boundary layer structure over Nares Strait (Greenland) during campaign IKAPOS with POLAR 5 on 2010-06-23 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Gap flows and the stable boundary layer were studied in northwest Greenland during the aircraft-based experiment IKAPOS (Investigation of Katabatic winds and Polynyas during Summer) in June 2010. The measurements were performed using the research aircraft POLAR 5 of Alfred Wegener Institute (AWI, Bremerhaven, Wesche et al. 2016). Besides navigational and basic meteorological instrumentation, the aircraft was equipped with radiation and surface temperature sensors and with a turbulence measurement system. The calibration procedure is described in Drüe and Heinemann (2013). A detailed description of the experimental setup, the flight missions and the aircraft sensors are given in the field phase report (Heinemann et al. 2011) and in Heinemann (2018). The vertical profiles were flown as slantwise aircraft profiles (ascents or descents). The data were measured at a sampling rate of 100 Hz. For the profiles, a more convenient 1 Hz subset was extracted from the 100 Hz data set and turbulent fluctuations are filtered out using a low-pass filter of 0.05 Hz. Four flight missions were flown over the Nares Strait and the North Water (NOW) polynya: 15, 18, 22, and 23 June 2010. The data are consecutive vertical profiles flown along the Nares Strait and across Nares Strait at different positions (see Heinemann et al. 2011) for plots and coordinates of starting points (also included in the data). Data of temperature, potential temperature, specific humidity, wind speed and direction are included in the data set.
    Keywords: AC; aircraft; Aircraft; atmospheric boundary layer; B1-M1; Date/Time of event; Date/Time of event 2; Event label; IKAPOS; IKAPOS_20100623_B1-M1; IKAPOS_20100623_M1-C; IKAPOS_20100623_Q4/1tt; IKAPOS_20100623_Q4/3tt; IKAPOS_20100623_Q4a-M1; IKAPOS_20100623_Q5; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; M1-C; Nares Strait; POLAR 5; Q4/1tt; Q4/3tt; Q4a-M1; Q5a-Q5b; Text file
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
    Location Call Number Expected Availability
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  • 66
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    Radiocarbon (C14) measurements of sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data set includes radiocarbon ages of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. In bulk sediment samples, a total of 20 radiocarbon ages from AMS dating were calibrated using OxCal online v4.4 (Bronk Ramsey, 2009), with the MARINE20 curve (Heaton et al., 2020) and a regional reservoir correction of deltaR= 0+-0 as suggested by Southon et al. (2002).
    Keywords: Age, 14C AMS; Age, 14C calibrated, MARINE20 (Heaton et al., 2020); Age, dated; Age, dated, uncertainty; AUG; Auger; Calculated average/mean values; Calendar age, maximum/old; Calendar age, mean; Calendar age, median; Calendar age, minimum/young; Calendar age, standard deviation; Carbonate Sedimentology; Confidence level; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Facies; Grain Size; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_15; Langkai_Auger_19; Langkai_Auger_22; Langkai_Auger_26; Langkai_Auger_3; Langkai_Auger_31; Langkai_Auger_6; Langkai_Auger_8; PCOR; Percussion corer; radiocarbon age; Sample ID; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
    Location Call Number Expected Availability
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  • 67
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    Aircraft measurements of the boundary layer structure over Nares Strait (Greenland) during campaign IKAPOS with POLAR 5 on 2010-06-22 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Gap flows and the stable boundary layer were studied in northwest Greenland during the aircraft-based experiment IKAPOS (Investigation of Katabatic winds and Polynyas during Summer) in June 2010. The measurements were performed using the research aircraft POLAR 5 of Alfred Wegener Institute (AWI, Bremerhaven, Wesche et al. 2016). Besides navigational and basic meteorological instrumentation, the aircraft was equipped with radiation and surface temperature sensors and with a turbulence measurement system. The calibration procedure is described in Drüe and Heinemann (2013). A detailed description of the experimental setup, the flight missions and the aircraft sensors are given in the field phase report (Heinemann et al. 2011) and in Heinemann (2018). The vertical profiles were flown as slantwise aircraft profiles (ascents or descents). The data were measured at a sampling rate of 100 Hz. For the profiles, a more convenient 1 Hz subset was extracted from the 100 Hz data set and turbulent fluctuations are filtered out using a low-pass filter of 0.05 Hz. Four flight missions were flown over the Nares Strait and the North Water (NOW) polynya: 15, 18, 22, and 23 June 2010. The data are consecutive vertical profiles flown along the Nares Strait and across Nares Strait at different positions (see Heinemann et al. 2011) for plots and coordinates of starting points (also included in the data). Data of temperature, potential temperature, specific humidity, wind speed and direction are included in the data set.
    Keywords: A-B1; AC; aircraft; Aircraft; A-Q1a; atmospheric boundary layer; Date/Time of event; Date/Time of event 2; Event label; IKAPOS; IKAPOS_20100622_A-B1; IKAPOS_20100622_A-Q1a; IKAPOS_20100622_Q1; IKAPOS_20100622_Q3; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Nares Strait; POLAR 5; Q1a-Q1b; Q3a-Q3b; Text file
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 68
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    Relative skeletal composition in sediments from the reef island Langkai, Spermonde Archipelago, Indonesia (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data set includes relative facies composition in sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction. These results were then used to calculate the relative proportions in each sample.
    Keywords: AUG; Auger; Bivalvia; Bryozoa; Calculated; Calculated average/mean values; Carbonate Sedimentology; Components, other; Coral; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Event label; Facies; Foraminifera; Gastropoda; Grain Size; Halimeda; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Rhodophyta; Sample ID; Serpulidae; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 689 data points
    Location Call Number Expected Availability
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  • 69
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    Island surface area of Langkai, Spermonde Archipelago, Indonesia from 1999-2023 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The shoreline analysis of the reef island Langkai, SW Sulawesi, Indonesia is based on 11 satellite images from 1999-2023. Island surface area was retrieved with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Accessibility, description; Area in hectare; Carbonate Sedimentology; Data source; DATE/TIME; Digital Shoreline Analysis System extension for ESRI ArcGIS, Thieler et al, 2009; Facies; Grain Size; Holocene; Image number/name; Langkai_sat; radiocarbon age; Reference/source; Satellite imagery; SATI; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
    Location Call Number Expected Availability
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  • 70
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    Hydrographic parameters in Lake Constance in 2010 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: In the south-eastern part of Lake Constance a deep pockmark, a shallow pockmark station, as well as a reference station have been sampled for dissolved methane concentrations (with water samples) and hydrographic parameters with a Seabird CTD probe. The rosette was located within the pockmark with the help of a horizontal scanning sonar. In April 2010 no methane data are available.
    Keywords: Conductivity; Coordinate, x, relative; Coordinate, y, relative; CTD, Seabird; CTD-1; CTD1_26042010; CTD-2; CTD2_26042010; CTD-R; DATE/TIME; Density, mass density; Depth; DEPTH, water; Event label; LATITUDE; LONGITUDE; Pressure, water; Salinity; Sound Velocity; Sound velocity in water; Station label; Temperature; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4302 data points
    Location Call Number Expected Availability
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  • 71
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    Hydrographic parameters and dissolved methane in Lake Constance in 2008 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: In the south-eastern part of Lake Constance a deep pockmark, a shallow pockmark station, as well as a reference station have been sampled for dissolved methane concentrations (with water samples) and hydrographic parameters with a Seabird CTD probe. The rosette was located within the pockmark with the help of a horizontal scanning sonar.
    Keywords: Bottle number; Conductivity; Coordinate, x, relative; Coordinate, y, relative; CTD, Seabird; CTD-1; CTD1_18032008; CTD-2; CTD2_18032008; CTD-3; CTD3_18032008; CTD-4; CTD4_18032008; CTD-5; CTD5_18032008; CTD-6; CTD6_18032008; CTD-R; DATE/TIME; Density, mass density; Depth; DEPTH, water; dissolved methane concentration; Event label; Headspace Gas Chromatography, Perkin-Elmer; LATITUDE; LONGITUDE; Methane; Pressure, water; Salinity; Sound Velocity; Sound velocity in water; Station label; Temperature; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 12201 data points
    Location Call Number Expected Availability
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  • 72
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    Gene expression of protease genes in larval Strongylocentrotus purpuratus during laboratory experiments with different food treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Real-time-PCR-system, ThermoFisher Scientific, QuantStudio 1; Sample ID; Sampling by diver; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, aminopeptidase N, relative gene expression; Strongylocentrotus purpuratus, larvae, carboxypeptidase B, relative gene expression; Strongylocentrotus purpuratus, larvae, enteropeptidase, relative gene expression; Strongylocentrotus purpuratus, larvae, trypsin II, relative gene expression; Time in days; Treatment: food; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 1048 data points
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    DATA PANGAEA
  • 73
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments with different food treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Sample ID; Sampling by diver; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Time in days; Treatment: food; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 264 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 74
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments under different pH conditions (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; Conductivity Meter, WTW, ProfiLine Cond 3110; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Treatment: pH; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 112 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 75
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    Digestion rate in larval Strongylocentrotus purpuratus during laboratory experiments with low protease inhibitor treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, normalized digestion rate; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 76
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments with different soybean trypsin inhibitor (SBTI) treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Treatment: soybean trypsin inhibitor; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 77
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    Digestion rate in larval Strongylocentrotus purpuratus during laboratory experiments with high protease inhibitor treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, normalized digestion rate; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 78
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments with different aprotinin treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Treatment: aprotinin; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 42 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 79
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    Fluorescence intensity in the larval Strongylocentrotus purpuratus midgut during laboratory experiments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; DIVER; energetics; Experiment; Inverted microscope, Zeiss, Axiovert 135; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, fluorescence intensity; Time in seconds; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 2471 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 80
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    Digestion rates in larval Strongylocentrotus purpuratus during different larval feeding stages (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, normalized digestion rate; Time in days; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 81
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    Immoblization of Rhodomonas sp. during laboratory experiments with different trypsin treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Rhodomonas sp., immobilized; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Treatment: trypsin; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 82
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    Larval number of Strongylocentrotus purpuratus during laboratory experiments with different food treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Sample ID; Sampling by diver; sea urchin; Stereomicroscopy (Leica); Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae; Time in days; Treatment: food; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
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    Larval size of Strongylocentrotus purpuratus during laboratory experiments with different food treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Sample ID; Sampling by diver; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, size; Time in days; Treatment: food; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 216 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 84
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    Larval number of Strongylocentrotus purpuratus during laboratory experiments with high food treatment (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; culture experiment; Date/time start, experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; Microscope, Zeiss, Axio Imager Z; measured with Hemocytometer; physiology; protein; Sample ID; Sampling by diver; sea urchin; Stereomicroscopy (Leica); Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae; Time in days; Treatment: food; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 56 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments with aprotinin treatment over time (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Time in minutes; Treatment: aprotinin; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 86
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    Calcareous nannofossil abundance of IODP Site 378-U1553 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: 378-U1553C; 378-U1553D; Age model; calcareous nannofossil; Center for Marine Environmental Sciences; cf. Fasciculithus tympaniformis; Counted per area; d13C; Depth, composite; DEPTH, sediment/rock; Discoaster lodoensis; Discoaster multiradiatus; DRILL; Drilling/drill rig; Eocene; Event label; EXP378; Fasciculithus tympaniformis; IODP 378; Joides Resolution; MARUM; Paleocene; PETM; Sample code/label; Site 1553; South Pacific; Sphenolithus radians; Tribrachiatus contortus; Tribrachiatus orthostylus
    Type: Dataset
    Format: text/tab-separated-values, 768 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 87
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    Total protease activity in larval Strongylocentrotus purpuratus during laboratory experiments with soybean trypsin inhibitor (SBTI) treatment over time (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Strongylocentrotus purpuratus, larvae, total protease activity, difference in absorption per time and protein mass; Time in minutes; Treatment: soybean trypsin inhibitor; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 48 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 88
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    Unknown
    Snow height data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The data collection contains meteorological, soil and snow measurements from two nearby sites in the forest-tundra ecotone in the Tasiapik valley near Umiujaq in northern Quebec, Canada. One site is on a mixture of lichen and low shrub tundra and the data set there comprises 9 years of meteorological, soil and snow data as well as 3 years of eddy covariance data. The other site, 850 m away, features vegetation consisting of black spruce, tall shrubs and grass. There, 6 years of meteorological, soil and snow data are available. In addition to the data from the automated stations, profiles of snow density and specific surface area were collected during winter field campaigns. This data set comprises snow height data measurements from both the tundra and forest vegetation zone.
    Keywords: dataset; DATE/TIME; Event label; Field measurement; forest-tundra ecotone; Hudson Bay; meteorological data; snow; Snow height; Soil; Sonic Ranging Sensor, CAMPBELL SCIENTIFIC, INC., SR50; Umiujaq; Umiujaq_2012-2021_Tundra; Umiujaq_2015-2021_Forest
    Type: Dataset
    Format: text/tab-separated-values, 114598 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 89
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    Trypsin activity during laboratory experiments with different protease inhibitor and pH treatments (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Strongylocentrotus purpuratus (Stimpson 1857) originally collected in November 2020 from La Jolla, USA (Lat: 32.842674; Long: -117.257767) were held in flow-through tanks which were filled with water from Kiel Fjord adjusted to 31.5 psu at GEOMAR Helmholtz Centre for Ocean Research Kiel at 10 °C. For experimental characterization of protein digestion between January and June 2021 S. purpuratus larvae were generated by gently shaking adult males and females and held in climate chambers at 15°C and 31.5 psu in the Christian-Albrechts-Universität zu Kiel up to 14 days under different food conditions. Using RT-qPCR analysis, expression patterns of four protease genes including an enteropeptidase, aminopeptidase, carboxypeptidase and trypsin were analyzed against the housekeeping gene Elongation factor 1-alpha 1 (EF1a). Total protease activity of larval extracts were analyzed under different pHs, at different sampling points and with protease inhibitors including Soybean Trypsin Inhibitor and Aprotinin. Alterations of larval in vivo digestion rates were characterized under inhibitor influence. For both inhibitors the initial incubation before starting the reaction was 45 min. Data are supplement to: Hildebrand et al. (2023) Characterization of digestive proteases in the gut of a basal deuterostome accepted for publication in Journal of Experimental Biology.
    Keywords: algae; Calculated; Comment; Conductivity Meter, WTW, ProfiLine Cond 3110; culture experiment; DIVER; energetics; Experiment; La_Jolla_S_purpuratus; Laboratory; Laboratory experiment; La Jolla, USA; physiology; protein; Sample ID; Sampling by diver; Sampling date/time, experiment; sea urchin; Strongylocentrotus purpuratus; Treatment; Treatment: pH; Trypsin activity, difference in absorption per time and protein mass; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
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    Unknown
    Water samples analysis of Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: Analytical method; Area/locality; Arnica_Creek_2; Arnica_Creek_3; Big_Thumb_Creek_2; Big_Thumb_Creek_3; Bridge_Creek_2; Bridge_Creek_3; Calculated; Date/Time of event; Diatom; Event label; germanium; Germanium/Silicon ratio; Germanium/Silicon ratio, standard deviation; Holocene; Laboratory; lake; Latitude of event; Little_Thumb_Creek_2; Little_thumb_Creek_3; Location; Longitude of event; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments; Thermo Fisher, NuPlasma II HR/Neptune; Number of measurements; Pelican_Creek_2; Pelican_Creek_3; Regime; Sample code/label; Sedge_Creek_2; Sedge_Creek_3; sediment; see comment; Silica, dissolved; Silica, dissolved, standard deviation; Silicon isotopes; USA; Water sample; WS; Yellowstone; Yellowstone_River_1; Yellowstone_River_2; Yellowstone_River_3; Yellowstone_River_4; YL16F06; YL16F07; YL16F10; YL16F12; YL16F14; YL17F01; YL17F02; YL17F03; YL17F08; YL18F02; YL18F04; YL18F06; YL18F12; YL18F13; YL18F14; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 500 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 91
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    Geochemistry of sediment core YL16-2C from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: According to Schiller et al. (2021); Age model; Alkaline extraction according to Conley and Schleske (2002); BACON age modeling according to Schiller et al. (2021); Biogenic silica; Biogenic silica, flux; Biogenic silica, standard deviation; Calculated, according to Niessen (2013); Calendar age, mean; Calendar age, median; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, standard error; Carbon/Nitrogen ratio; Density, wet bulk; Depth, bottom/max; Depth, composite; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Diatom; Elemental Analyser, COSTECH, COSTECH ECS4010; germanium; Germanium/Silicon ratio; Germanium/Silicon ratio, standard deviation; Holocene; KULC; KULLENBERG corer; lake; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments, NuPlasma II HR; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Nitrogen, total; Nitrogen, total, standard deviation; Number of measurements; Porosity; Replicates; Sample ID; Sample thickness; Section; sediment; Sedimentation rate; see comment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C; δ29Si; δ29Si, standard deviation; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 4185 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
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    Geochemistry of sediment core YL16-5A from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: According to Schiller et al. (2021); Age model; Alkaline extraction according to Conley and Schleske (2002); BACON age modeling according to Schiller et al. (2021); Biogenic silica; Biogenic silica, flux; Biogenic silica, standard deviation; Calculated, according to Niessen (2013); Calendar age, mean; Calendar age, median; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total, standard error; Carbon/Nitrogen ratio; Density, wet bulk; Depth, bottom/max; Depth, composite; Depth, reference; DEPTH, sediment/rock; Depth, top/min; Diatom; Elemental Analyser, COSTECH, COSTECH ECS4010; germanium; Holocene; lake; Multi-Collector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS), Nu Instruments, NuPlasma II HR; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Nitrogen, total; North America; Number of measurements; Porosity; Replicates; Sample ID; Sample thickness; Section; sediment; Sedimentation rate; Silicon isotopes; Yellowstone; YL16-5A; δ29Si; δ29Si, standard deviation; δ30Si; δ30Si, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3640 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 93
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    MSCL data of sediment core YL16-5A from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: CIELAB system; Color, a*; Color, b*; Color, L*, lightness; Color, X; Color, Y; Color, Z; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; DEPTH, sediment/rock; Diatom; germanium; Greyscale value; Holocene; lake; Magnetic susceptibility; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Munsell Color System (1994); North America; Section; Section position; sediment; Silicon isotopes; Yellowstone; YL16-5A
    Type: Dataset
    Format: text/tab-separated-values, 110019 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
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    Helicopter borne probe HELiPOD measurements during MOSAiC - Flight 5 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The helicopter borne probe HELiPOD was deployed during the MOSAiC expedition on Leg 3 and 4 from the research vessel Polarstern to investigate the ocean-ice-atmosphere exchange. During five flights, a variety of parameters were measured and calculated, concerning atmospheric dynamics (pressure, temperature, humidity, wind vector), aerosol particles (number concentrations in different size classes, absorption coefficients for three different wavelengths), trace gas concentrations (carbon dioxide, methane, ozone), radiation (solar and terrestrial, upward and downward), surface properties (temperature, images) as well as flight state parameters (position, altitude, attitude). All data were re-sampled at 100 Hz to the same time grid, if not indicated differently. The probe enabled the spatial extension of MOSAiC observations in a range of 25 – 60 km distance to Polarstern. After dedicated postprocessing of the complex data set, two out of the five flights, which were performed on 22 July 2020, and with a flight duration of around 1 h per flight, are initially uploaded to the PANGAEA data base. A technical overview of the HELiPOD is given in Pätzold et al. (2023).
    Keywords: absorption; Aerosol number concentration; aerosol particle number concentration; Air speed; ALTITUDE; Altitude, barometric; Arctic; Arctic Ocean; atmospheric boundary layer; Calculated, ideal gas equation; Calculated from the air speed vector and the ground speed vector according to Lenschow (1972); Carbon dioxide; Carbon dioxide, mole fraction; Chemiluminescence O3 monitor, 2B Technologies model 205 dual-beam; Condensation particle counter (CPC), TSI, 3007; DATE/TIME; Density, air; Differential pressure sensor, Setra, 239; Differential pressure sensor, Setra, 239; Pressure sensor, Setra, 270; Temperature, air; Heading; HEIGHT above ground; helicopter borne probe; Helicopter towed system; HELiPOD; HELIPOD; Humidity, specific; Humidity sensor, Vaisala, HMP110 [low frequency]; Lyman-Alpha humidity sensor, Buck Research, L-6 [high frequency]; complementary; Infrared CH₄ gas analyser, LI-COR, LI-7700; Infrared gas analyzer, LI-COR, Li-7500A; Infrared radiometer, Heitronics, KT19; INS/GNSS system, iMAR, iNAT-M200; LATITUDE; LONGITUDE; Long-wave radiation; meteorological parameters; Methane; Methane, mole fraction; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical particle counter (OPC), Met One lnstruments, GT-526S; Ozone; Particle light absorption coefficient at 450 nm wavelength; Particle light absorption coefficient at 525 nm wavelength; Particle light absorption coefficient at 624 nm wavelength; Pitch angle; Polarstern; Pressure sensor, Setra, 270; PS122/4; PS122/4_48-105; Pyranometer, EKO Instruments, ML-01; Pyranometer, Kipp & Zonen, CMP22; Pyrgeometer, Kipp & Zonen, CGR4; Radar altimeter, Thomson-CSF, ERT 180; Roll angle; Short-wave radiation; Single-channel Tricolor Absorption Photometer (STAP), Brechtel, 9406; surface properties; Surface temperature; Temperature, air; Temperature sensor, TSYS01 [low frequency]; Temperature sensor, Rosemount, 102BW [medium frequency]; Temperature sensor, IFF, FW3 [high frequency]; complementary; trace gas concentrations; True air speed; Velocity, down; Velocity, east; Velocity, north; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 16365200 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 95
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    Helicopter borne probe HELiPOD measurements during MOSAiC - Flight 4 (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The helicopter borne probe HELiPOD was deployed during the MOSAiC expedition on Leg 3 and 4 from the research vessel Polarstern to investigate the ocean-ice-atmosphere exchange. During five flights, a variety of parameters were measured and calculated, concerning atmospheric dynamics (pressure, temperature, humidity, wind vector), aerosol particles (number concentrations in different size classes, absorption coefficients for three different wavelengths), trace gas concentrations (carbon dioxide, methane, ozone), radiation (solar and terrestrial, upward and downward), surface properties (temperature, images) as well as flight state parameters (position, altitude, attitude). All data were re-sampled at 100 Hz to the same time grid, if not indicated differently. The probe enabled the spatial extension of MOSAiC observations in a range of 25 – 60 km distance to Polarstern. After dedicated postprocessing of the complex data set, two out of the five flights, which were performed on 22 July 2020, and with a flight duration of around 1 h per flight, are initially uploaded to the PANGAEA data base. A technical overview of the HELiPOD is given in Pätzold et al. (2023).
    Keywords: absorption; Aerosol number concentration; aerosol particle number concentration; Air speed; ALTITUDE; Altitude, barometric; Arctic; Arctic Ocean; atmospheric boundary layer; Calculated, ideal gas equation; Calculated from the air speed vector and the ground speed vector according to Lenschow (1972); Carbon dioxide; Carbon dioxide, mole fraction; Chemiluminescence O3 monitor, 2B Technologies model 205 dual-beam; Condensation particle counter (CPC), TSI, 3007; DATE/TIME; Density, air; Differential pressure sensor, Setra, 239; Differential pressure sensor, Setra, 239; Pressure sensor, Setra, 270; Temperature, air; Heading; HEIGHT above ground; helicopter borne probe; Helicopter towed system; HELiPOD; HELIPOD; Humidity, specific; Humidity sensor, Vaisala, HMP110 [low frequency]; Lyman-Alpha humidity sensor, Buck Research, L-6 [high frequency]; complementary; Infrared CH₄ gas analyser, LI-COR, LI-7700; Infrared gas analyzer, LI-COR, Li-7500A; Infrared radiometer, Heitronics, KT19; INS/GNSS system, iMAR, iNAT-M200; LATITUDE; LONGITUDE; Long-wave radiation; meteorological parameters; Methane; Methane, mole fraction; MOSAiC; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Optical particle counter (OPC), Met One lnstruments, GT-526S; Ozone; Particle light absorption coefficient at 450 nm wavelength; Particle light absorption coefficient at 525 nm wavelength; Particle light absorption coefficient at 624 nm wavelength; Pitch angle; Polarstern; Pressure sensor, Setra, 270; PS122/4; PS122/4_48-104; Pyranometer, EKO Instruments, ML-01; Pyranometer, Kipp & Zonen, CMP22; Pyrgeometer, Kipp & Zonen, CGR4; Radar altimeter, Thomson-CSF, ERT 180; Roll angle; Short-wave radiation; Single-channel Tricolor Absorption Photometer (STAP), Brechtel, 9406; surface properties; Surface temperature; Temperature, air; Temperature sensor, TSYS01 [low frequency]; Temperature sensor, Rosemount, 102BW [medium frequency]; Temperature sensor, IFF, FW3 [high frequency]; complementary; trace gas concentrations; True air speed; Velocity, down; Velocity, east; Velocity, north; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 17639958 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 96
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    MSCL data of sediment core YL16-2C from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: CIELAB system; Color, a*; Color, b*; Color, L*, lightness; Color, X; Color, Y; Color, Z; Color reflectance at 360 nm; Color reflectance at 370 nm; Color reflectance at 380 nm; Color reflectance at 390 nm; Color reflectance at 400 nm; Color reflectance at 410 nm; Color reflectance at 420 nm; Color reflectance at 430 nm; Color reflectance at 440 nm; Color reflectance at 450 nm; Color reflectance at 460 nm; Color reflectance at 470 nm; Color reflectance at 480 nm; Color reflectance at 490 nm; Color reflectance at 500 nm; Color reflectance at 510 nm; Color reflectance at 520 nm; Color reflectance at 530 nm; Color reflectance at 540 nm; Color reflectance at 550 nm; Color reflectance at 560 nm; Color reflectance at 570 nm; Color reflectance at 580 nm; Color reflectance at 590 nm; Color reflectance at 600 nm; Color reflectance at 610 nm; Color reflectance at 620 nm; Color reflectance at 630 nm; Color reflectance at 640 nm; Color reflectance at 650 nm; Color reflectance at 660 nm; Color reflectance at 670 nm; Color reflectance at 680 nm; Color reflectance at 690 nm; Color reflectance at 700 nm; Color reflectance at 710 nm; Color reflectance at 720 nm; Color reflectance at 730 nm; Color reflectance at 740 nm; DEPTH, sediment/rock; Diatom; germanium; Greyscale value; Holocene; KULC; KULLENBERG corer; lake; Magnetic susceptibility; Multi-Sensor Core Logger (MSCL-XYZ), GEOTEK; Munsell Color System (1994); Section; Section position; sediment; Silicon isotopes; Yellowstone; Yellowstone Lake; YL16-2C
    Type: Dataset
    Format: text/tab-separated-values, 115841 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
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    XRF data of sediment core YL16-2C from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: Aluminium; Antimony; Argon; Arsenic; Barium; Bismuth; Bromine; Caesium; Calcium; Chlorine; Chromium, coherent scatter; Chromium, incoherent scatter; Cobalt; Copper; DEPTH, sediment/rock; Diatom; E-gain; E-offset; Europium; F-offset; F-slope; germanium; Germanium; Gold; Hafnium; Holocene; Iridium; Iron; Krypton; KULC; KULLENBERG corer; lake; Lanthanum; Magnesium; Manganese; Mean squared error; Neodymium; Nickel; Phosphorus; Platinum; Potassium; Praseodymium; Promethium; Rubidium; Scandium; Section; Section position; sediment; Selenium; Silicon; Silicon isotopes; Strontium; Sulfur; Tantalum; Tellurium; Terbium; Thulium; Titanium; Total count rate; Tungsten; Validity; Vanadium; X-ray fluorescence core scanning (XRF), COX, ITRAX; Yellowstone; Yellowstone Lake; YL16-2C; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 67744 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
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    XRF data of sediment core YL16-5A from the Yellowstone Lake, USA (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Keywords: Aluminium; Antimony; Argon; Arsenic; Barium; Bismuth; Bromine; Caesium; Calcium; Chlorine; Chromium, coherent scatter; Chromium, incoherent scatter; Cobalt; Copper; DEPTH, sediment/rock; Diatom; E-gain; E-offset; Europium; F-offset; F-slope; germanium; Germanium; Gold; Hafnium; Holocene; Iridium; Iron; Krypton; lake; Lanthanum; Magnesium; Manganese; Mean squared error; Neodymium; Nickel; North America; Phosphorus; Platinum; Potassium; Praseodymium; Promethium; Rubidium; Scandium; Section; Section position; sediment; Selenium; Silicon; Silicon isotopes; Strontium; Sulfur; Tantalum; Tellurium; Terbium; Thulium; Titanium; Total count rate; Tungsten; Validity; Vanadium; X-ray fluorescence core scanning (XRF), COX, ITRAX; Yellowstone; YL16-5A; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 126483 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
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    Modelled age-depth profile at location of the Beyond EPICA drill site (BELDC) based on the sledge-borne DEep LOoking Radio Echo Sounder (DELORES) survey (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the European Beyond EPICA - Oldest Ice project drill site (BELDC; 75.29917 °S, 122.44516 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 20 horizons from the radar survey conducted over the Dome C region conducted by the British Antarctic Survey over the 2016-17 and 2017-18 Antarctic field seasons using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES; Mulvaney et al., 2023). The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BELDC_site; BE-OI; Beyond EPICA drill site; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; MULT; Multiple investigations; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5316 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
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    Modelled age-depth profile at location of the Beyond EPICA drill site (BELDC) based on the Little Dome C-Very High Frequency radar system (LDC-VHF) survey (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the European Beyond EPICA - Oldest Ice project drill site (BELDC; 75.29917 °S, 122.44516 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 19 horizons from the radar survey conducted during the 2019-20 Antarctic field season in a collaboration between the University of Alabama (UA), the University of Copenhagen (CPH) and the Alfred Wegener Institute (AWI), using the Little Dome C-Very High Frequency radar system (LDC-VHF; Chung et al., 2023, PANGAEA).. The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BELDC_site; BE-OI; Beyond EPICA drill site; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; MULT; Multiple investigations; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5268 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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