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  • 2020-2024  (166,290)
  • 1995-1999  (1,634,653)
  • 1955-1959  (303,706)
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  • 1
    Publication Date: 2024-05-26
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; DATE/TIME; Description; ELEVATION; File name; GlobCover; Identification; LATITUDE; LONGITUDE; PALAEO-RA; Station label; Temperature, air, monthly mean; Uniform resource locator/link to source data file
    Type: Dataset
    Format: text/tab-separated-values, 3365786 data points
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  • 2
    Publication Date: 2024-05-26
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; Binary Object; DATE/TIME; ELEVATION; GlobCover; Identification; LATITUDE; LONGITUDE; PALAEO-RA; Station label; Uniform resource locator/link to source data file; Variable
    Type: Dataset
    Format: text/tab-separated-values, 17586 data points
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  • 3
    Publication Date: 2024-05-26
    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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  • 4
    Publication Date: 2024-05-26
    Description: Cell division of the coccolithophore Emiliania huxleyi and other phytoplankton typically becomes entrained to diel light/dark cycles under laboratory conditions, with division occurring primarily during dark phases and production occurring during light phases. Under these conditions, the increase in a culture's cell and biomass concentrations deviates from an exponential function on time scales 〈 24 h. We here present a dataset of short-term changes in cell and biomass concentrations of fast dividing, dilute-batch cultures of E. huxleyi grown under a 16:8 h light/dark cycle. This dataset was used to derive linear models describing the diel course in the concentrations of cells, particulate organic carbon (POC) and particulate inorganic carbon (PIC) and for the calculation of daily means of cellular quotas and production rates in Kottmeier et al. (2020). We also present the given seawater carbonate chemistry as well as cellular quotas of particulate organic nitrogen (PON) and chlorophyll a (Chl. a), and the ratios of PIC:POC, POC:PON, POC:cell volume and Chl. a:POC in the course of the 24 h sampling period.
    Keywords: 1; Alkalinity, potentiometric; Alkalinity, total; Alkalinity, total, standard deviation; Calculated using CO2SYS; Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, relative concentration; Carbon, organic, particulate; Carbon, organic, particulate, per cell; Carbon, organic, particulate, relative concentration; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Cell concentration, relative; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a per cell; Colorimetric autoanalysis; Consumption of carbon, inorganic, dissolved, standard deviation; Coulter counter, Beckman Coulter, Multisizer 3; Elemental analyzer, EuroVector, EA 3000; Exponential growth; Fluorometer, Turner Design, TD-700; Growth rate; Growth rate, standard deviation; Hand net; HN; Identification; Irradiance; Light/dark cycles; Light meter; LM; Particulate inorganic carbon/particulate organic carbon ratio; Particulate organic nitrogen per cell; pH; pH, standard deviation; Phase; Phased cell division; PIC production; POC production; Potentiometric; Registration number of species; Salinity; SALINO; Salinometer; SO136; SO136_006-A_HPN; Sonne; Species; Stage; Strain; TASQWA; Temperature, water; Temperature sensor; Time in hours; Treatment: light:dark cycle; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1983 data points
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  • 5
    Publication Date: 2024-05-26
    Description: Abstract
    Description: This collection contains 10500 computationally generated, randomised 2D microstructures, their geometrical and electrical properties, and the Matlab software package used to calculate these properties. The two-phase microstructures (mineral matrix, pore space) represent three different pore space types (microfracture networks, intergranular pore space, oomoldic pore space) and are organised into 35 ensembles - with common modelling parameters - of 100 individual microstructure realisations each. For all realisations, several geometrical properties (percolation, total porosity, connected porosity, isolated porosity, surface area, fractal dimension) and physical properties (formation factor from electrical resistivity, electrical tortuosity) are given. The collection also includes a Matlab-based finite element simulation package derived from the FEMALY library, which can be used to compute the properties of any given 2D raster microstructure.
    Keywords: petrophysics ; microstructure ; finite element method ; permeability and porosity ; statistical methods ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTARY ROCKS 〉 SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTARY ROCKS 〉 SEDIMENTARY ROCK PHYSICAL/OPTICAL PROPERTIES 〉 ELECTRICAL ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Collection , Collection
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  • 6
    Publication Date: 2024-05-25
    Description: Shallow sediment cores were collected with gravity cores from sites in the Japan Trench during cruise SO219A with R/V SONNE. In order to determine ex-situ concentrations of methane dissolved in pore water, sediment samples were taken from the sediment cores with cut-off syringes and transferred into glass vials. Methane concentrations in the headspace gas were used to calculate concentrations of methane dissolved in pore water (uncorrected for sediment porosity and Bunsen coefficient).
    Keywords: 27; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GC; GeoB16423-1; Gravity corer; MARUM; Methane, porewater; SO219A/2; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 7
    Publication Date: 2024-05-25
    Description: The Deep-sea Sponge Microbiome Project is a large-scale study, integrating 16S amplicon sequencing data of seawater, sediment, and sponges, with a large set of ecological and physical metadata. The present dataset includes NCBI-accession numbers, sample collection details, and diverse measurements, adding up to 50 entries for each of the 1546 covered samples.
    Keywords: Accession number, genetics; Ada Rebikoff; Agassiz Trawl; AGT; Alkalinity, total; Anchor dredge; Angeles Alvarino; ANT-XXXI/2 FROSN; Arctic Ocean; Area/locality; ARK-XXVII/2; ARK-XXX/3; ARK-XXXI/2; Azores2018; Bay of Biscay; BC; BEAM; Beam trawl; Bleiksdjupet; Bottle, Niskin; Bottom trawl; Box corer; BT; Campaign; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide, total; Celtic Voyager; Class; Conductivity; CTD; CTD/Rosette; CTD1; CTD10; CTD11; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD6; CTD7; CTD8; CTD9; CTD-RO; CV13012; CV13012_A; DATE/TIME; Deep-sea; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Density, sigma, in situ; DEPTH, water; derived from MODIS remote sensing data; Distance; Dive_041; Dive_042; Dive_043; Dive_044; Dive_045; Dive_046; DIVER; DR10; DR15; DR4; DR7; DR9; Dredge, chain bag; Dredge, rock; Dredge, triangle; DRG_A; DRG_C; DRG_R; Duse Bay; Event label; extracted from GLODAPv2.2020; extracted from the World Ocean Atlas 2018 (WOA18); Family; G. O. Sars (2003); Gear; Genus; Geological feature; Grab; GRAB; GS16A-202; GS2016109A; GS2016109A-01-CTD-01; GS2016109A-06-ROV-01; GS2016109A-09-BC-01; GS2016109A-10-BC-02; GS2016109A-14-CTD-02; GS2016109A-16-CTD-04; GS2016109A-18-CTD-06; GS2016109A-21-BC-05; GS2016109A-24-CTD-07; GS2016109A-26-CTD-09; GS2016109A-27-CTD-10; GS2016109A-28-CTD-11; GS2016109A-32-ROV-05; GS2016109A-33-AGT-01; GS2017110; GS2017110-02-ROV-02; GS2017110-03-CTD-01; GS2017110-04-CTD-02; GS2017110-05-ROV-03; GS2017110-06-ROV-04; GS2017110-08-ROV-05; GS2017110-09-ROV-6; GS2017110-15-CTD-05; GS2017110-16-ROV8; GS2017110-19-ROV10; GS2017110-22-BC-02; GS2017110-23-ROV12; GS2017110-26-CTD-08; GS2017110-28-CTD-10; GS2017110-30-CTD-12; GS2017110-34-ROV-15; GS2017110-40-ROV-18; GS2017110-41-ROV-19; GS2017110-42-CTD-16; GS2017110-44-BC-1; GS2017110-45-BC-2; GS2017110-46-BC-3; GS2017110-47-BC-4; GS2017110-50-CTD-19; GS2017110-54-CTD-20; GS2017110-57-AGT-01; GS2017110-59-CTD-21; GS2017110-60-BC-5; GS2017110-61-BC-6; GS2017110-62-BC-7; GS2017110-63-ROV-24; GS2017110-67-CTD-23; GS2017110-68-ROV-25; GS2017110-71-BC-8; GS2017110-72-BC-9; GS2017110-73-BC-10; GS2017110-74-ROV-26; GS2018108; GS2018108-01-ROV-01; GS2018108-02-CTD-01; GS2018108-03-ROV-02; GS2018108-04-ROV-03; GS2018108-05-CTD-02; GS2018108-07-ROV-05; GS2018108-08-ROV-06; GS2018108-12-CTD-03; GS2018108-13-CTD-04; GS2018108-14-CTD-05; GS2018108-17-AGT-01; GS2018108-19-ROV-12; GS2018108-22-CTD-07; GS2018108-23-ROV-15; GS2018108-25-ROV-17; GS2018108-29-CTD-09; GS2018108-30-CTD-10; GS2018108-31-CTD-11; GS2018108-34-ROV-22; GS2018108-37-CTD-12; GS2018108-39-ROV-26; GS2018108-43-ROV-30; GS2018108-44-ROV-31; GS2018108-46-ROV-33; GS2018108-48-CTD-13; GS2018108-55-CTD-14; GS2018108-58-ROV-43; GS2018108-62-CTD-15; GS2018108-63-ROV-47; GS2018108-64-ROV-48; GS2018108-66-CTD-16; GS2018108-70-ROV-50; GS2018108-77-CTD-24; GS2018108-78-ROV-52; GS2018108-79-ROV-53; Gulf of Bothnia, Baltic sea; H045_A; Hans Brattström; HB2016952; HB2016952_2; HB2016952_5; HB2016952_6; HB2016952_7; HB2016952_8; HB27102017_A; HB27102017_B; HB27102017_C; HB27102017a; HB27102017b; HUD16/19_010; HUD16/19_012; HUD16/19_013; HUD16/19_018; HUD16/19_020; HUD16/19_383; HUD16/19_387; HUD16/19_391; HUD16/19_392; HUD16/19_395; HUD2016019; Hudson; Identification; James Clark Ross; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46-1; KB2017610; KB2017610_CTD7; KB2017610_KB-28; KB2017610_KB-32; KB2017610_KB-60; KB2017610_KB-61; KB2017610_ROV9; Korsfjord; Kristine Bonnevie; LATITUDE; LONGITUDE; LULA0718_Dive1; LULA0718_Dive2; LULA0718_Dive3; Malangsgrunnen; Maria S. Merian; Martha L. Black; meta-analysis; microbes; MLB2017001; MLB2017001_004; MLB2017001_005; MLB2017001_006; MLB2017001_015; MLB2017001_017; MLB2017001_020; MOOR; Mooring; MSM86; MSM86_006; MSM86_008; MSM86_009; MSM86_010; MSM86_012; MSM86_013; MSM86_015; MSM86_016; MSM86_019; MSM86_021; MSM86_022; MSM86_027; MSM86_028; MSM86_031; MSM86_032; MSM86_034; MSM86_035; MSM86_036; MSM86_038; MSM86_040; MSM86_041; MSM86_052; MSM86_054; MSM86_061; MSM86_062; MSM86_063; MSM86_067; MSM86_080; MSM86_081; MSM86_083; MSM86_086; MSM86_088; MSM86_090; MSM86_091; MSM86_094; MSM86_101; MSM86_106; Multicorer with television; NIS; Nitrate; Nitrogen, total dissolved; Nitrogen/Phosphorus ratio; North Greenland Sea; ocean; Ocean; Order; OT; OTNMoor_275; Otter trawl; Oxygen, apparent utilization; Oxygen, dissolved; Oxygen saturation; PAA2014007; PAA2014007_003; PAA2014007_056; PAA2014007_068; PAA2014007_070; PAA2014007_078; PAA2014007_079; PAA2014007_088; PAA2014007_110; PAA2014007_120; PAA2014007_123; PAA2014007_124; PAA2014007_125; PAA2014007_131; PAA2014007_133; PAA2014007_136; Paamiut; pH; Phosphate; Phylum; Polarstern; Pori Bac NewZ; Pressure, water; Prince Gustav Channel; Profile; Project; PS101; PS101/088-1; PS101/092-1; PS101/093-1; PS101/094-1; PS101/123-1; PS101/154-1; PS101/155-1; PS101/170-1; PS101/172-1; PS101/193-1; PS101/194-1; PS101/196-1; PS101/197-1; PS101/198-1; PS101/200-1; PS101/208-1; PS101/216-1; PS107; PS107_2-1; PS107_33-1; PS107_47-1; PS107_6-3; PS80; PS80/176-9; PS80/192-1; PS96; PS96/006-1; PS96/009-3; PS96/009-4; Realm; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROPOS 2028; ROPOS 2029; ROPOS 2030; ROPOS 2034; ROV; Salinity; Sample type; Sampling by diver; Schultz Bank; Scotia; Scotia_0915S; Scotia_0915S_A; Scotia_0915S_B; Scotia_0915S_C; Scotia_0915S_D; Sea surface chlorophyll a; seawater; sediment; Silicate; Silicon/Phosphorus ratio; SO254; SO254_10-1; SO254_1-1; SO254_14-1; SO254_18-1; SO254_2-1; SO254_22-1; SO254_23-1; SO254_33-1; SO254_34-1; SO254_36-1; SO254_69-1; SO254_76-1; SO254_77-1; SO254_78-1; SO254_79-1; SO254_8-1; SO254_81-1; SO254_84-1; SO254_85-1; SO254_diver; Sognefjord; Sonne_2; South Atlantic Ocean; South Pacific Ocean; Species; sponge; SponGES; SponGES_0617; SPONGES_0617_04-DR4; SPONGES_0617_06-BT2; SPONGES_0617_07-CTD1; SPONGES_0617_09-DR5; SPONGES_0617_10-DR6; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_15-DR7; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_20-BT3; SPONGES_0617_23-DR9; SPONGES_0617_24-CTD6; SPONGES_0617_26-BT4; SPONGES_0617_27-CTD7; SPONGES_0617_28-DR10; SPONGES_0617_29-CTD8; SPONGES_0617_37-DR11; SPONGES_0617_38-DR12; SPONGES_0617_40-CTD9; SPONGES_0617_41-BT5; SPONGES_0617_42-CTD10; SPONGES_0617_43-BC1; SPONGES_0617_45-BC2; SPONGES_0617_46-CTD11; SPONGES_0617_47-BT6; SPONGES_0617_48-DR14; SPONGES_0617_49-CTD12; SPONGES_0617_50-BT7; SPONGES_0617_52-BT9; SPONGES_0617_53-BC3M1; SPONGES_0617_54-BT10; SPONGES_0617_55-CTD13; SPONGES_0617_56-BT11; SPONGES_0617_57-BT12; SPONGES_0617_58-CTD14; SPONGES_0617_59-BC4M1; SPONGES_0617_60-DR15; SPONGES_0617_61-CTD15; SPONGES_0617_63-DR16; Station label; Stjernsund; SUB; Submersible; Sula reef; TAD; Television-Grab; Temperature, water; Tromsoflaket East; Tromsøflaket; TVG; TVMUC; Uniform resource locator/link to reference; Vesteris; Water bodies; Weddell Sea; Zone
    Type: Dataset
    Format: text/tab-separated-values, 54242 data points
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2024-05-25
    Description: This dataset contains occurrence records (i.e., species name, latitude, longitude, depth (where available), and metadata) for six species of the demosponge genus Geodia Lamarck, 1815, belonging to the Geodiidae family: Geodia atlantica (Stephens, 1915); Geodia barretti Bowerbank, 1858; Geodia macandrewii Bowerbank, 1858; Geodia phlegraei (Sollas, 1880); Geodia hentscheli Cárdenas et al. 2010; and Geodia parva Hansen, 1885. The records fall in the North Atlantic and Arctic Oceans, and are used/described in the linked article by Roberts et al. (2021). Note that the dataset provided has not been subjected to any of the filtering stages applied in that manuscript for the purposes of various novel biogeographical analyses (i.e., it is original and complete), and the taxonomic identifications have been rigorously checked (as described therein). Definitions of institution abbreviations used in the 'Museum Specimen / Picture Information' column of the dataset spreadsheet have been provided in an accompanying table (see Comment field below). Where records are derived from earlier literature sources, full references for citations given in the 'Campaign / Source' column (and further general information on many of the records) may be found in the articles by Cárdenas et al. (2010; 2013) and Cárdenas & Rapp (2015). An earlier version of this dataset may be accessed at the DRYAD repository: Cárdenas P, Rapp HT, Klitgaard AB, Best M, Thollesson M, Tendal OS (2013), Data from: Taxonomy, biogeography and DNA barcodes of Geodia species (Porifera, Demospongiae, Tetractinellida) in the Atlantic boreo-arctic region, Dryad, Dataset, doi:10.5061/dryad.td8sb
    Keywords: 87PA0028; 87PA0067; 87PA0078; 92PA0160002; 92PA0160005; 92PA0160014; 92PA0160028; 92PA0160050; 92PA0160052; 94PA0090001; 94PA0090002; 94PA0090009; 94PA0090010; 94PA0090019; 94PA0090020; 94PA0090026; 94PA0090039; 94PA0090041; 94PA0090043; 94PA0090045; 94PA0090049; 94PA0090062; Agassiz Trawl; AGT; Arctic Ocean; ARK-VII/2; ARK-XXII/1a; Barents Sea; BEAM; Beam trawl; BIODEEP2007_Dredge2; BIODEEP2007_ROV10; BIODEEP2007_ROV9; BIOFAR_St117; BIOFAR_St119; BIOFAR_St120; BIOFAR_St122; BIOFAR_St234; BIOFAR_St279; BIOFAR_St287; BIOFAR_St297; BIOFAR_St298; BIOFAR_St375; BIOFAR_St379; BIOFAR_St389; BIOFAR_St43; BIOFAR_St451; BIOFAR_St452; BIOFAR_St486; BIOFAR_St487; BIOFAR_St498; BIOFAR_St526; BIOFAR_St530; BIOFAR_St531; BIOFAR_St535; BIOFAR_St540; BIOFAR_St550; BIOFAR_St69; BIOFAR_St734; BIOFAR_St756; BIOFAR_St89; BIOFAR_St901; BIOICE_St2022; BIOICE_St2023; BIOICE_St2218; BIOICE_St2292; BIOICE_St2293; BIOICE_St2368; BIOICE_St2374; BIOICE_St2499; BIOICE_St2501; BIOICE_St2516; BIOICE_St2518; BIOICE_St2700; BIOICE_St2728; BIOICE_St2747; BIOICE_St2756; BIOICE_St2768; BIOICE_St2769; BIOICE_St2923; BIOICE_St2926; BIOICE_St2928; BIOICE_St3227; BIOICE_St3659; BIOICE_St3661; BIOSKAG2006_St20; BIOSYS2006_DR182; BIOSYS2006_VG20-1; Blacker1957_11; Blacker1957_130; Blacker1957_131; Blacker1957_14; Blacker1957_16; Blacker1957_164; Blacker1957_165; Blacker1957_168; Blacker1957_20; Blacker1957_21; Blacker1957_22; Blacker1957_24; Blacker1957_25; Blacker1957_27; Blacker1957_28; Blacker1957_33; Blacker1957_35; Blacker1957_36; Blacker1957_44; Blacker1957_45; Blacker1957_46; Blacker1957_53; Blacker1957_55; Blacker1957_56; Blacker1957_60; Blacker1957_61; Blacker1957_62; Blacker1957_68; Blacker1957_75; Blacker1957_8; Blacker1957_80; Blacker1957_81; Blacker1957_84; Blacker1957_9; Blacker1957_94; BMT19; Boury-Esnaultetal1994_CP62; Boury-Esnaultetal1994_CP63; Boury-Esnaultetal1994_CP92; Boury-Esnaultetal1994_CP98; Bowerbank1872a_Vikna; Bowerbank1872aPlateXI_Vikna; Brattholmen_St230407; Breitfuss1930_St1237; Breitfuss1930_St1347; Breitfuss1930_St1385; Burton1934_St548; Burton1959_EIceland; Burton1959_SEIceland; Campaign; CD80_St178; CD80_St18; CD80_St91; CE13008; CE13008_ROV32; CE2008-11_M11GHaul22; CE2008-11_M11GHaul23; Celtic Explorer; Celtic Sea; CENTOBBiogasII_DS33; CGB2011_11c-16-DR01; CGB2011_11c-19-ROV05; CGB2011_11c-30-DR05; CGB2011_11c-31-DR06; Comment; CorSeaCan_B12_CG_ACH_P01_20100809; CorSeaCan_B13_MOI-ACH-P06; CV13012_51; Dana_St6001; Davis Strait; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Depth, bottom/max; Depth, top/min; DEPTH, water; Dyrelivihavet2008_SandsfjordRogaland; E17044_SP17E44001; EBS; EcosystemBarentsSea2007_St2562; Epibenthic sledge; Event label; FRVScotia2012_S12_469; FRVScotia2012_S12/469; FRVScotia2012_S12-469; G. O. Sars (2003); Giant box corer; GKG; Greenland Sea; GS06/112; GS112_BMT19; GS14; GS14-AGT03; GS14-AGT07; GS14-DR02; GS14-DR09; GS14-DR12; H2DEEP2008_ROV5; HakonMosby_St237; HakonMosby_St242; HakonMosby_St245; HakonMosby_St86072701; HakonMosby_St93060602; HakonMosby_St93060612; HakonMosby_St93060613; HakonMosby_St93061106; Hentschel1929_St40; Hentschel1929_St41; Hentschel1929_St42; Howelletal2010_WSC11; Howelletal2010_WSCE10B; Howelletal2010_WSCE3; Howelletal2010_WSCE4; HUD2007-025_DiveR1059; HUD2010-029; HUD2010-029_R1335; HUD2010-029_R1336-07; HUD2010-029_R1339-10; HUD2010-029_R1340-12; HUD2010-029_R1340-4; HUD2010-029_R1341-18; HUD2013/29; HUD2013-029_DS1-I; Hudson; Iceland Sea; Identification; IngolfExpdt_St1; IngolfExpdt_St125; IngolfExpdt_St21; IngolfExpdt_St78; IngolfExpdt_St90; IngolfExpdt_St92; JAGO; Kara Sea; Kingstonetal1979_LabradorCoast; Koltun1964_St1; Koltun1964_St10; Koltun1964_St11; Koltun1964_St26; Koltun1964_St46; Koltun1964_St7; Koltun1964_St8; Koltun1964_St9; Koltun1966_NofFranzJosephLand; Koltun1966_NofKaraSea; Koltun1966_NWofLaptevSea; Labrador Sea; Langenuen_SteinnesetSt31; Laptev Sea; LATITUDE; LONGITUDE; Lundbeck1909_Angmagsalik; Lynch_St1971; Lynch_St1972; Lynch_St1973; Lynch_St721008; Lysefjord_Uksen; M85/3; M85/3_1123; M85/3_1132; M85/3_1136; M85/3_1219; M85/3_1223; MA0200057_St90; MagnusHeinason_St150990; MAR310_St1; Mareano_StR228-12; Mareano_StR262VL282; Mareano_StR828; Mareano_StR863; Mareano2009_StR469VL491; Mareano2011_StR729VL756; Mareano2011_StR731VL759; Mareano2011_StR744VL772; Mareano2011_StR758VL786; MAR-Eco2004_St50-373; MAR-Eco2004_St70_385; MAR-Eco2004_St70-385; MAR-Eco2004_St72-386; MedSeaCan_B7_MG_PO2_20090523; MedSeaCan_B7_PA_ACH_P02_20090519; Meteor (1986); More2005_St46; MULT; Multiple investigations; NEREIDA0609_BC89; NEREIDA0710_BC237; Nereida2009-2010_BC04; Nereida2009-2010_DR04-001; Nereida2009-2010_DR07-025; Nereida2009-2010_DR10; Nereida2009-2010_DR12; Nereida2009-2010_DR18; Nereida2009-2010_DR19; Nereida2009-2010_DR20; Nereida2009-2010_DR22; Nereida2009-2010_DR23; Nereida2009-2010_DR24; Nereida2009-2010_DR3; Nereida2009-2010_DR32; Nereida2009-2010_DR38; Nereida2009-2010_DR4; Nereida2009-2010_DR6; Nereida2009-2010_DR64; Nereida2009-2010_DR66; Nereida2009-2010_DR7; Nereida2009-2010_DR70; Nereida2009-2010_DR70_BOTTOM; Nereida2009-2010_DR74; Nereida2009-2010_DR74_BOTTOM; North Greenland Sea; North Sea; Norwegian Sea; PA2010-009_Set075; PA2010-009_Set104; PA2010-009_Set105; PA2010-009_Set108; PA2010-009_Set109; PA2010-009_Set111; PA2010-009_Set113; PA2010-009_Set114; PA2010-009_Set115; PA2010-009_Set116; PA2010-009_Set126; PA2010-009_Set141; PA2010-009_Set155; PA2010-009_Set156; PA2010-009_Set157; PA2010-009_Set159; PA2010-009_Set160; PA2010-009_Set161; PA2010-009_Set162; PA2010-009_Set163; PA2010-009_Set164; PA2010-009_Set167; PA2010-009_Set168; PAA2011007; PAA2011007_127_39; PAA2011007_225_114; PAA2011007_255_126; PAA2011007_262_128; PAA2011007_533_23; PAA2011007_634_139; PAA2013008; PAA2013008_157_44; PAA2013008_169_46; PAA2013008_174_47; PAA2013008_176_48; PAA2013008_177_50; PAA2013008_302_141; PAA2013008_305_142; PAA2013008_31_10; PAA2014007; PAA2014007_278_125; PAA2014007_286_127; PAA2014007_321_136; PAA2014007_514_152; PAA2015007; PAA2015007_126_32; PAA2015007_289_60; PAA2015007_299_62; PAA2015007_303_64; Paamiut; Polarstern; PS17; PS17/223; PS70; PS70/002-2; PS70/006-1; PS70/014-4; PS70/015-1; PS70/016-1; PS70/027-1; PS70/040-4; RVMichaelSars_St102; RVMichaelSars_St76; RVMichaelSars_St85; S10176_SP10176001; S11073_SP11073001; S11471_SP11471001; S12135_SP12135001; S12444_SP12444001; S12446_SP12446001; S12447; S15A13; S16185_SP16185001; S16379_SP16379003; S16A03_SP16A03017; S16A03_SP16A03029; S16A03_SP16A03039; S16A03_SP16A03041; S18A02; S18A03; Scotland Sea; ShinkaiMaru_St004; ShinkaiMaru_St109; ShinkaiMaru_St110; ShinkaiMaru_St15; ShinkaiMaru_St18; ShinkaiMaru_St1976; ShinkaiMaru_St21; ShinkaiMaru_St26; ShinkaiMaru_St29; ShinkaiMaru_St3; ShinkaiMaru_St32; ShinkaiMaru_St43; ShinkaiMaru_St50; ShinkaiMaru_St63; ShinkaiMaru_St70; ShinkaiMaru_St79; ShinkaiMaru_St9; ShinkaiMaru1987_St104; ShinkaiMaru1987_St67; Skagerrak; South Atlantic Ocean; Species; SponGES; St89SI0240086; Station label; Submersible JAGO; SwedishArcticExp1871_St37; T0406066; T8903301; T8905093; T8905125; T8905127; T8905185; T9405259; T9405264; T9405276; T9405305; T9405315; T9405317; T9406031; T9406032; T9406036; T9406066; ThalassaZ_Z407; ThalassaZ_Z408; Traena Deep; Trollholmflua; Tromso_Haugbernes; Western Basin; WH_St569; WH47566; WH47572; ZoolPolarExp1900_St30
    Type: Dataset
    Format: text/tab-separated-values, 2307 data points
    Location Call Number Expected Availability
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  • 9
    Publication Date: 2024-05-25
    Description: Shallow sediment cores were collected with gravity cores from sites in the Japan Trench during cruise SO219A with R/V SONNE. In order to determine ex-situ concentrations of methane dissolved in pore water, sediment samples were taken from the sediment cores with cut-off syringes and transferred into glass vials. Methane concentrations in the headspace gas were used to calculate concentrations of methane dissolved in pore water (uncorrected for sediment porosity and Bunsen coefficient).
    Keywords: 47; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GC; GeoB16449-1; Gravity corer; MARUM; Methane, porewater; SO219A/2; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-05-25
    Description: The dataset presents the greenhouse gas production (CO2 and CH4) from sediment of a terrestrial permafrost outcrop (Byk14-A-1; 71.85175°N, 129.350883°E), the thermokarst lake Goltsovoye (PG2412 (TKL), 71.74515°N, 129.30217°E), the nearly-closed Polar Fox Lagoon (PG2411 (LAG1), 71.743056°N, 129.337778°E) and the semi-open Uomullyakh Lagoon (PG2410-1 (LAG1), 71.730833°N, 129.2725°E). We incubated the samples anaerobically at 4 °C under fresh (c=0 g/L), brackish (c=13g/L) and marine (36g/L) conditions for one year and measured carbon dioxide (CO2) and methane (CH4) concentrations regularly in a 250 µL subsample using gas chromatography with an Agilent GC 7890A equipped with an Agilent HP-PLOT Q column. Cumulative CO2 and CH4 concentrations and production rates per day are given over time for all samples with three replicates each per gram of dry weight and normalised to gram of soil organic carbon (SOC).
    Keywords: Anaerobic incubation; Arctic permafrost coasts; AWI Arctic Land Expedition; Bykovsky_2017_spring; Carbon dioxide, production, anaerobic, per mass soil organic carbon; Carbon dioxide, production, anaerobic, per soil dry mass; Carbon dioxide, production rate, per mass soil organic carbon; Carbon dioxide, production rate, per soil dry mass; carbon dioxide production; Core; Date; Day of experiment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; EXPO; Exposure; Goltsovoye Lake, Siberia, Russia; Laboratory experiment; Lena_Delta_Sobo-Byk_2014; Methane, production, anaerobic, per mass soil organic carbon; Methane, production, anaerobic, per soil dry mass; Methane, production rate, per mass soil organic carbon; Methane, production rate, per soil dry mass; methane production; Mobile drilling rig, Geotechnika, URB-4T; PETA-CARB; PG2410-1; PG2411-1; PG2412-1; PG-BYK14-1-A; Polar Fox Lagoon; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Replicate; RU-Land_2014_Lena_Sobo-Byk; RU-Land_2017_Lena_Bykovsky; Sample ID; Sediment type; thermokarst lagoon formation; thermokarst lakes; Treatment; Type of study; Uomullyakh Lagoon
    Type: Dataset
    Format: text/tab-separated-values, 18900 data points
    Location Call Number Expected Availability
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