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  • 11
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    Seawater carbonate chemistry and Arctic phytoplankton blooms and dimethyl sulfide concentration (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bacteria; Baffin_Bay; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Community composition and diversity; Dimethyl sulfide; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, dissolved; Entire community; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Identification; Laboratory experiment; Light; MULT; Multiple investigations; Nanophytoplankton; Nitrate; Nitrite; Number of cells; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picophytoplankton; Polar; Salinity; Silicate; Temperature, water; Time point, descriptive; Treatment; Type; Viral abundance
    Type: Dataset
    Format: text/tab-separated-values, 5805 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 12
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    Experimental assessment of the St. Lawrence Estuary phytoplankton fall bloom sensitivity and DMS concentrations to acidification and warming (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria; Bacterial production; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Date; Dimethyl sulfide; Dimethylsulfoniopropionate; Entire community; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Laboratory experiment; Mesocosm or benthocosm; Nanophytoplankton; Nitrate; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picocyanobacteria; Picoeukaryotes; Primary production/Photosynthesis; Primary production of carbon per day; Salinity; Silicate; Temperate; Temperature; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 6404 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 13
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    Statistical Reconstruction of Daily Precipitation and Temperature Fields in Switzerland back to 1864 (2019)
    PANGAEA
    In:  Supplement to: Pfister, Lucas; Brönnimann, Stefan; Schwander, Mikhaël; Isotta, Francesco Alessandro; Horton, Pascal; Rohr, Christian (2020): Statistical reconstruction of daily precipitation and temperature fields in Switzerland back to 1864. Climate of the Past, 16(2), 663-678, https://doi.org/10.5194/cp-16-663-2020
    Details
    Publication Date: 2024-04-27
    Description: Spatial information on past weather contributes to better understand the processes behind day-to-day weather variability and to assess the risks arising from weather extremes. This dataset provides daily, high-resolution reconstructions of precipitation and temperature fields for Switzerland back to 1864. Reconstructions are provided as "raw" data resulting from an analogue resampling method (ARM), as well as post-processed data (using an ensemble Kalman fitting approach for temperature and quantile mapping for precipitation. For further information, the reader is referred to the references. The dataset comprises the following files: - 2019-10-06_precip_ARM_1864-01-01-2017-12-31.nc (precipitation, analogue reconstructions) - 2019-10-06_precip_qmap_1864-01-01-2017-12-31.nc (precipitation, post-processed) - 2019-10-06_temp_ARM_1864-01-01-2017-12-31.nc (temperature, analogue reconstructions) - 2019-10-06_temp_EnKF_1864-01-01-2017-12-31.nc (temperature, post-processed)
    Keywords: analogue method; historical weather data; Kalman filter; quantile mapping; Switzerland; Switzerland_WS; weather reconstruction
    Type: Dataset
    Format: application/zip, 7.9 GBytes
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    DATA PANGAEA
  • 14
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    Resistivity and permeability of core samples from the Samail ophiolite, Oman (Oman Drilling Project) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset presents analyses of resistivity and permeability of core samples collected by the Oman drilling project (Samail ophiolite). Resistivity was measured using impedance analyzer (Agilent 4294A) at the drilling vessel Chikyu, and permeability was calculated from the Hashin-Shtrikman upper bound and the cubic law between permeability and porosity.
    Keywords: CDRILL; Core drilling; DEPTH, sediment/rock; Event label; Latitude of event; Lithology/composition/facies; Longitude of event; Oman; OmanDP; OmanDP_BA1B; OmanDP_BA4A; OmanDP_CM1A; Oman Drilling Project; ophiolite; permeability; Permeability (earth science); resistivity; Resistivity, dry; Resistivity, wet
    Type: Dataset
    Format: text/tab-separated-values, 1623 data points
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    DATA PANGAEA
  • 15
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    Organic matter composition of the water column in mesocosm study (Bergen 2011) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: During the ocean acidification study in Bergen (2011) we measured concentrations of dissolved organic carbon (DOC) and nitrogen (DOC) as well as concentrations of total and dissolved amino acids and carbohydrates including individual compounds in mesocosms.
    Keywords: Amino acid, total; amino acids; Amino acids, dissolved; BIOACID; Biological Impacts of Ocean Acidification; carbohydrates; Carbohydrates, dissolved; Carbohydrates, total combined; Carbon, organic, dissolved; DATE/TIME; Identification; KOSMOS_2011_Bergen; MESO; mesocosm; Mesocosm experiment; Nitrogen, organic, dissolved; Ocean acidification; organic matter; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Phase; Ratio; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 9976 data points
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  • 16
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    Concentrations and fluxes of the sea-ice biomarkers 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane (IP25) and highly branched isoprenoid triene (HBI III) from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Concentrations of the sea-ice biomarker IP25 and highly branched isoprenoid triene (HBI III) (ng/g), total organic carbon content (TOC; %), IP25 and HBI III concentrations normalized to TOC (ng/gTOC), and fluxes of IP25 and HBI III (ng/unit surface area/yr) from the marine sediment core AMD14-204_CASQ that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, flux; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Gas chromatography - Mass spectrometry (GC-MS); Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Highly branched isoprenoids, triunsatured; Highly branched isoprenoids, triunsatured, flux; Highly branched isoprenoids, triunsatured, per unit mass total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1925 data points
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    DATA PANGAEA
  • 17
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    Sea-ice meiofauna biomass, carbon demand, and secondary production in Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in spring 2015 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: We investigated the biomass, carbon demand, and secondary production of sea-ice meiofauna (here heterotrophs 〉10μm) at eight ice stations on Arctic pack ice north of Svalbard. Sampling was conducted during spring 2015 by sea-ice coring. The biomass (µgCm-²) for sea-ice meiofauna taxa was calculated by multiplying abundances (ind. m-²) of each taxon obtained from Ehrlich et al. (2020) (https://doi.org/10.3389/fmars.2020.00452) by the carbon content per individual of this taxon. The mass-specific ingestion rate of each taxon was multiplied by the biomass of that taxon at every station to determine the carbon demand per day. For the calculation of sea-ice meiofauna secondary production all production-biomass (P/B) ratios were obtained from Forest et al. (2014) (https://doi.org/10.5194/bg-11-2827-2014).
    Keywords: Amoebozoa, biomass as carbon; Amoebozoa, ingestion rate as carbon; Amoebozoa, production as carbon; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Biomass; Calculated; Campaign; Ciliophora, biomass as carbon; Ciliophora, ingestion rate as carbon; Ciliophora, production as carbon; DATE/TIME; Dinophyceae, biomass as carbon; Dinophyceae, ingestion rate as carbon; Dinophyceae, production as carbon; Event label; Harpacticoida, biomass as carbon; Harpacticoida, ingestion rate as carbon; Harpacticoida, production as carbon; ICE; Ice station; LATITUDE; Location; LONGITUDE; Nauplii, biomass as carbon; Nauplii, ingestion rate as carbon; Nauplii, production as carbon; pack ice; Polarstern; Principal investigator; PS92; PS92/019-6; PS92/027-2; PS92/031-2; PS92/032-4; PS92/039-6; PS92/043-4; PS92/046-1; PS92/047-3; Rotifera, biomass as carbon; Rotifera, ingestion rate as carbon; Rotifera, production as carbon; sea-ice meiofauna; Station label; Svalbard; sympagic fauna; Tintinnina, biomass as carbon; Tintinnina, ingestion rate as carbon; Tintinnina, production as carbon; Type
    Type: Dataset
    Format: text/tab-separated-values, 208 data points
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    DATA PANGAEA
  • 18
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    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/2 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/2. Data was recorded on 20 days between 2005-08-01 and 2005-08-20. This dataset contains an elongated transit survey east of Sumatra and Suva, Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2300m. 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. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; PABESIA; Ship speed; SO184/2; SO184/2_0_Underway-1; Sonne; 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 EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 15780 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 19
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    Swiss Early Meteorological Observations v2.0 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: A collection of early instrumental meteorological records for 46 locations in Switzerland and one in France covering the 18th and 19th century. Available variables are air temperature, pressure, precipitation, snow depth, snow/rain occurrence, humidity, wind force and direction, cloud cover, wet bulb temperature, water temperature, soil temperature, and weather description, for a total of ca. 5 million observations. Air temperature, pressure, and precipitation data (ca. 3 million observations) have been converted to modern units and quality controlled. Time has been converted to UTC.
    Keywords: Binary Object; File content; Switzerland
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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    DATA PANGAEA
  • 20
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    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/3. Data was recorded on 20 days between 2005-08-22 and 2005-09-10. This dataset contains an elongated transit survey south of the islands of Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2500m. 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. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO184/3; SO184/3_0_Underway-1; Sonne; 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 EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 14943 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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