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  • Institute of Physics  (75,575)
  • American Physical Society (APS)  (37,226)
  • American Chemical Society (ACS)  (34,247)
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  • 2020-2024  (8,008)
  • 2020-2022  (10,136)
  • 2010-2014  (197,495)
  • 1960-1964  (2,167)
  • 2020-2023  (3)
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  • 1
    Publication Date: 2023-01-27
    Description: Organic carbon (OC) stored in Arctic permafrost represents one of Earth's largest and most vulnerable terrestrial carbon pools. Amplified climate warming across the Arctic results in widespread permafrost thaw. Permafrost deposits exposed at river cliffs and coasts are particularly susceptible to thawing processes. Accelerating erosion of terrestrial permafrost along shorelines leads to increased transfer of organic matter (OM) to nearshore waters. However, the amount of terrestrial permafrost carbon and nitrogen as well as the OM quality in these deposits are still poorly quantified. Here, we characterise the sources and the quality of OM supplied to the Lena River at a rapidly eroding permafrost river shoreline cliff in the eastern part of the delta (Sobo-Sise Island). Our multi-proxy approach captures bulk elemental, molecular geochemical and carbon isotopic analyses of late Pleistocene Yedoma permafrost and Holocene cover deposits, discontinuously spanning the last ~52 ka. We show that the ancient permafrost exposed in the Sobo-Sise cliff has a high organic carbon content (mean of about 5 wt%).We found that the OM quality, which we define as the intrinsic potential to further transformation, decomposition, and mineralization, is also high as inferred by the lipid biomarker inventory. The oldest sediments stem from Marine Isotope Stage (MIS) 3 interstadial deposits (dated to 52 to 28 cal kyr BP) and is overlaid by Last Glacial MIS 2 (dated to 28 to 15 cal ka BP) and Holocene MIS 1 (dated to 7–0 cal ka BP) deposits. The relatively high average chain length (ACL) index of n-alkanes along the cliff profile indicates a predominant contribution of vascular plants to the OM composition. The elevated ratio of iso and anteiso-branched FAs relative to long chain (C ≥ 20) n-FAs in the interstadial MIS 3 and the interglacial MIS 1 deposits, suggests stronger microbial activity and consequently higher input of bacterial biomass during these climatically warmer periods. The overall high carbon preference index (CPI) and higher plant fatty acid (HPFA) values as well as high C / N ratios point to a good quality of the preserved OM and thus to a high potential of the OM for decomposition upon thaw. A decrease of HPFA values downwards along the profile probably indicates a relatively stronger OM decomposition in the oldest (MIS 3) deposits of the cliff.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 2
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    PANGAEA
    In:  Supplement to: Kosyan, A R; Kucheruk, Nikita V; Flint, Mikhail V (2012): Role of bivalve mollusks in the sediment balance of the Anapa Bay Bar. Translated from Okeanologiya, 2012, 52(1), 78-84, Oceanology, 52(1), 72-78, https://doi.org/10.1134/S0001437012010122
    Publication Date: 2023-03-16
    Description: Sandy beaches of the Anapa Bay Bar are a unique natural resource, but they are gradually being degrade under both natural and anthropogenic factors. Emissions of sand and shelly ground from the adjacent sea bottom partly compensate for this process. Concentration of carbonates may reach up to 50% in beach sands, and most of these carbonates are of mollusk origin. The major deposit formation role belongs to the key bivalve species: Chamelea gallina (Linnaeus, 1758). Average biomass of this mollusk species reaches up to 450 g/m**2 at depths 5-10 m. The other two subdominating mollusk species, bivalve Donax trunculus (Linnaeus, 1758) and gastropod Rapana venosa (Valenciennes, 1846), may impact as 16 g/m**2 and 6 g/m**2, respectively. Annually, 350 kg of shelly ground per running meter are newly deposited on the Anapa beach.
    Keywords: Archive of Ocean Data; ARCOD; Black Sea; KKF12-1; KKF12-2; KKF12-3; KKF12-4; KKF12-5; KKF12-6; KKF12-7; KKF12-8
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 3
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    PANGAEA
    In:  P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow | Supplement to: Lukashin, Vyacheslav N; Demina, Lyudmila L; Gordeev, Viacheslav V; Gordeev, Vladimir Yu (2012): The geochemistry of deepwater particulate matter over the hydrothermal field at 9°50'N (the East Pacific Rise). Translated from Okeanologiya, 2012, 52(2), 292-305, Oceanology, 52(2), 271-283, https://doi.org/10.1134/S0001437012010146
    Publication Date: 2023-03-16
    Description: Results of geochemical studies of suspended matter from the water mass over the hydrothermal field at 9°50'N on the East Pacific Rise are reported. The suspended matter was sampled in background waters, in the buoyant plume, and in the near-bottom waters. Contents of Si, Al, P, Corg, Fe, Mn, Cu, Zn, Ni, Co, As, Cr, Cd, Pb, Ag, and Hg were determined. No definite correlations were found between the elements in the background waters. Many of the chemical elements correlated with Fe and associated with its oxyhydroxides in the buoyant plume. In the near-bottom waters trace elements are associated with Fe, Zn, and Cu (probably, with their sulfides formed during mixing of hydrothermal fluids with seawater). Chemical composition of sediment matter precipitated in a sediment trap was similar to the near-bottom suspended matter.
    Keywords: Archive of Ocean Data; ARCOD
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Lein, Alla Yu; Kravchishina, Marina D; Politova, Nadezhda V; Savvichev, Alexander S; Veslopolova, E F; Mitskevich, Irina N; Ul'yanova, Nina V; Shevchenko, Vladimir P; Ivanov, Mikhail V (2012): Transformation of particulate organic matter at the water-bottom boundary in the Russian Arctic seas: Evidence from isotope and radioisotope data. Translated from Litologiya i Poleznye Iskopaemye, 2012, 2, 115-145, Lithology and Mineral Resources, 47(2), 99-128, https://doi.org/10.1134/S0024490212020034
    Publication Date: 2023-03-16
    Description: Comprehensive biogeochemical studies including determination of isotopic composition of organic carbon in both suspended matter and surface layer (0-1 cm) bottom sediments (more than 260 determinations of d13C-Corg) were carried out for five Arctic shelf seas: White, Barents, Kara, East Siberian, and Chukchi Seas. The aim of this study is to elucidate causes that change isotopic composition of particulate organic carbon at the water-sediment boundary. It is shown that isotopic composition of organic carbon in sediments from seas with high river run-off (White, Kara, and East Siberian Seas) does not inherit isotopic composition of organic carbon in particles precipitating from the water column, but is enriched in 13C. Seas with low river run-off (Barents and Chukchi Seas) show insignificant difference between d13C-Corg values in both suspended load and sediments because of low content of isotopically light allochthonous organic matter in suspended matter. Biogeochemical studies with radioisotope tracers (14CO2, 35S, and 14CH4) revealed existence of specific microbial filter formed from heterotrophic and autotrophic organisms at the water-sediment boundary. This filter prevents mass influx of products of organic matter decomposition into the water column, as well as reduces influx of OM contained in suspended matter from water into sediments.
    Keywords: Archive of Ocean Data; ARCOD
    Type: Dataset
    Format: application/zip, 23 datasets
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  • 5
    Publication Date: 2023-03-16
    Description: Understanding the resilience of African savannas to global change requires quantitative information on long-term vegetation dynamics. Here we present a reconstruction of past vegetation cover of the northern Namibian savanna obtained after applying the REVEALS model to fossil pollen data from Lake Otjikoto. We also present modern pollen and vegetation data used to calculate pollen productivity estimates for the major Namibian savanna taxa Acacia (Senegalia, Vachellia), Combretaceae, Dichrostachys, Grewia and Poaceae. Data were collected at 10 sites along a rainfall gradient in north central Namibia. Modern pollen was extracted from soil samples collected from plots at the different sites. Vegetation data were extracted from satellite images covering a 1.5 km radius from the plots where pollen was collected. The mean cover of the studied taxa was calculated by 100 m rings.
    Keywords: AWI_Envi; modern pollen; Polar Terrestrial Environmental Systems @ AWI; Pollen productivity estimate; REVEALS; Vegetation Mapping
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 6
    Publication Date: 2023-03-17
    Description: The Late Holocene is a substantial cultural and economic transition in the eastern Eurasian Steppe and Altai Region, but paleoclimate conditions during this time remain unclear. Therefore, we established a high-resolution paleoclimate record from Lake Khar Nuur in the Mongolian Altai, spanning the last 4200 years. Lake Khar Nuur is a high-altitude lake with a small catchment located at 2,486 m a.s.l. (48°37'22.9"N, 88°56'42.5"E). We recovered the sediment core (that we abbreviate KN18) from the deepest part of the lake (49.4 m) in July 2018 using an Uwitec gravity corer. Within the sediment core KN18, a wide array of lake sediment proxies was measured. While total organic carbon (TOC), total nitrogen, bulk δ^13^C~TOC~, δ^15^N and biogenic silica were measured in 2 cm resolution, the elemental composition (log (Ca/Ti) ratio) was measured in 0.5 cm resolution. Additionally, compound-specific hydrogen isotopic composition of _n_-alkanes was measured in 1 cm resolution.
    Keywords: Altai region; compound-specific biomarker isotopes; lake sediments; Late Holocene; Paleoclimate
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 7
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; BIOACID; Biological Impacts of Ocean Acidification; Carbon dioxide; Fugacity of carbon dioxide in seawater; pH
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 8
    Publication Date: 2023-03-14
    Keywords: Cape_Evans_OA; DATE/TIME; EXP; Experiment; pH; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2206 data points
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  • 9
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CO2; DATE/TIME; Dongsha_Island_IL; Dongsha_Island_NS; Dongsha Island; Dongsha Island, China; Event label; IL; NS; Ocean acidification; pH; Seagrass
    Type: Dataset
    Format: text/tab-separated-values, 696 data points
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  • 10
    Publication Date: 2023-03-14
    Description: The data set contains the results of laboratory examination of 13 soil samples taken at the ground truthing reference sites during the flight campaign.
    Keywords: airborne; Clay; drought; evapotranspiration; Event label; Groundtruthing; HAND; heatwave; Modular Observation Solutions for Earth Systems; MOSES; MOSES_beets; MOSES_CV01; MOSES_CV02; MOSES_DIAG_00-99; MOSES_early_potatoes_B; MOSES_Kartoffel; MOSES_Kartoffel_frueh; MOSES_potatoes_A; MOSES_REF_Boden; MOSES_Ruebe; MOSES_S02; MOSES_S04; MOSES_S05; MOSES_S06; MOSES_S09; MOSES_S10; MOSES_soil_reference_site; Nitrogen, soil; Organic carbon, soil; pH; remote sensing; Sample ID; Sampling by hand; Sand; Silt; Site; Soil Moisture; soil properties; Soil type
    Type: Dataset
    Format: text/tab-separated-values, 117 data points
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  • 11
    Publication Date: 2023-03-14
    Keywords: B1; B2; B3; B4; B5; B6; B7; B8; bog; Capitulum, dry weight; Capitulum, water content; Capitulum, width; Capitulum density; Carbon; Carbon/Nitrogen ratio; Elemental analyzer CHNS-O (EA1110); Elevation of event; Event label; Fascicle density; fen; functional plant trait; HL_HRS; HL_IS; HL_KAL; HL_KLA; HL_KS; HL_LA; HL_TE; Latitude of event; Longitude of event; Mire; mire succession; Moisture index; Nitrogen; Northern_peatlands_B1; Northern_peatlands_B2; Northern_peatlands_B3; Northern_peatlands_B4; Northern_peatlands_B5; Northern_peatlands_B6; Northern_peatlands_B7; Northern_peatlands_B8; Northern_peatlands_HL_HRS; Northern_peatlands_HL_IS; Northern_peatlands_HL_KAL; Northern_peatlands_HL_KLA; Northern_peatlands_HL_KS; Northern_peatlands_HL_LA; Northern_peatlands_HL_TE; Northern_peatlands_S1; Northern_peatlands_S13; Northern_peatlands_S2; Northern_peatlands_S3; Northern_peatlands_S31; Northern_peatlands_S33; Northern_peatlands_S4; Northern_peatlands_S41; Northern_peatlands_S42; Northern_peatlands_S5; Northern_peatlands_S51; Northern_peatlands_S53; Northern_peatlands_S6; Northern_peatlands_u10; Northern_peatlands_u13; Northern_peatlands_u14; Northern_peatlands_u16; Northern_peatlands_u18; Northern_peatlands_u2; Northern_peatlands_u24; Northern_peatlands_u26; Northern_peatlands_u29; Northern_peatlands_u33; Northern_peatlands_u43; Northern_peatlands_u52; Northern_peatlands_u62; Northern_peatlands_u65; Northern_peatlands_u70; Optional event label; Peatland; Peat thickness; pH; S1; S13; S2; S3; S31; S33; S4; S41; S42; S5; S51; S53; S6; Species; u10; u13; u14; u16; u18; u2; u24; u26; u29; u33; u43; u52; u62; u65; u70
    Type: Dataset
    Format: text/tab-separated-values, 4199 data points
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  • 12
    Publication Date: 2023-03-14
    Keywords: B1; B2; B3; B4; B5; B6; B7; B8; bog; Carbon; Carbon/Nitrogen ratio; Elemental analyzer CHNS-O (EA1110); Elevation of event; Event label; fen; functional plant trait; HL_HRS; HL_IS; HL_KAL; HL_KLA; HL_KS; HL_LA; HL_TE; Latitude of event; Leave size; Longitude of event; Measured using software ImageJ; Mire; mire succession; Moisture index; Nitrogen; Northern_peatlands_B1; Northern_peatlands_B2; Northern_peatlands_B3; Northern_peatlands_B4; Northern_peatlands_B5; Northern_peatlands_B6; Northern_peatlands_B7; Northern_peatlands_B8; Northern_peatlands_HL_HRS; Northern_peatlands_HL_IS; Northern_peatlands_HL_KAL; Northern_peatlands_HL_KLA; Northern_peatlands_HL_KS; Northern_peatlands_HL_LA; Northern_peatlands_HL_TE; Northern_peatlands_S1; Northern_peatlands_S11; Northern_peatlands_S2; Northern_peatlands_S3; Northern_peatlands_S31; Northern_peatlands_S33; Northern_peatlands_S4; Northern_peatlands_S41; Northern_peatlands_S42; Northern_peatlands_S5; Northern_peatlands_S51; Northern_peatlands_S53; Northern_peatlands_S6; Northern_peatlands_u10; Northern_peatlands_u13; Northern_peatlands_u14; Northern_peatlands_u16; Northern_peatlands_u18; Northern_peatlands_u2; Northern_peatlands_u24; Northern_peatlands_u26; Northern_peatlands_u29; Northern_peatlands_u33; Northern_peatlands_u43; Northern_peatlands_u52; Northern_peatlands_u62; Northern_peatlands_u65; Northern_peatlands_u70; Optional event label; Peatland; Peat thickness; pH; Plant height; S1; S11; S2; S3; S31; S33; S4; S41; S42; S5; S51; S53; S6; Species; Specific leaf area; u10; u13; u14; u16; u18; u2; u24; u26; u29; u33; u43; u52; u62; u65; u70
    Type: Dataset
    Format: text/tab-separated-values, 19294 data points
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  • 13
    Publication Date: 2023-03-14
    Keywords: Africa; Branched glycerol monoalkyl glycerol tetraethers; Branched glycerol monoalkyl glycerol tetraethers, H1020a; Branched glycerol monoalkyl glycerol tetraethers, H1020a, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1020b; Branched glycerol monoalkyl glycerol tetraethers, H1020b, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1020c; Branched glycerol monoalkyl glycerol tetraethers, H1020c, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034a; Branched glycerol monoalkyl glycerol tetraethers, H1034a, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034b; Branched glycerol monoalkyl glycerol tetraethers, H1034b, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1034c; Branched glycerol monoalkyl glycerol tetraethers, H1034c, fractional abundance; Branched glycerol monoalkyl glycerol tetraethers, H1048; Branched glycerol monoalkyl glycerol tetraethers, H1048, fractional abundance; brGMGTs; Conductivity, electrical; DATE/TIME; H-brGDGTs; Lake_Chala; Lake Chala; Lake Chala, East Africa; Month; MULT; Multiple investigations; Oxygen, dissolved; pH; Sample ID; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2629 data points
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  • 14
    Publication Date: 2023-03-14
    Description: This Dataset serves as supplementary table S2 for our publication (Farfan et al, 2021). It contains all of the mineralogical, oxygen isotope, and Kentucky Lake environmental data compiled for the study, set into nacre-transect space defined by the SIMS-pits taken during oxygen isotope analyses.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Ammonia; Ammonia, standard deviation; aragonite; Chlorine; Chlorine, standard deviation; Conductivity, electrolytic; Conductivity, standard deviation; DATE/TIME; Depth, error; Depth with 1% of photosynthetic active radiation; Distance; Event label; Fractionation factor; Fractionation factor, error; Full width at half maximum; KentuckyLakePearl_1; KentuckyLakePearl_2; KentuckyLakePearl_3; LAKE; Light intensity; Light intensity, standard deviation; mineralogy; Nitrate and Nitrite; Nitrate and Nitrite, standard deviation; Oxidation reduction (RedOx) potential; Oxidation reduction (RedOx) potential, standard deviation; Oxygen, dissolved; Oxygen, dissolved, standard deviation; oxygen isotope; Peak centre; Peak height; pearls; pH; pH, standard deviation; Raman spectrometry; Raman spectroscopy; Ratio; Sample ID; Sampling lake; Secondary ion mass spectrometry (SIMS); Silicon dioxide; Silicon dioxide, standard deviation; Standard deviation; Sulfate; Sulfate, standard deviation; Temperature, standard deviation; Temperature, water; Thickness; Thickness, standard error; Transect; Turbidity, standard deviation; Turbidity (Nephelometric turbidity unit); δ18O; δ18O, aragonite; δ18O, standard error
    Type: Dataset
    Format: text/tab-separated-values, 29870 data points
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  • 15
    Publication Date: 2023-03-14
    Description: Five sites across the Kiel Fjord in the Baltic Sea (GEOMAR Pier: 54.330383 N 10.150683 E, Kiel Canal Entry: 54.361167 N, 10.162533 E, Falckenstein: 54.390217 N, 10.194983 E, Laboe: 54.405633 N, 10.209750 E, and Strande: 54.428267 N, 10.209267 E) were monitored biweekly from June 2013 until October 2020 (with some discontinuities in winter). Depth profiles were taken with a CTD (Sea & Sun Technology, Trappenkamp, CTD 60) recording temperature, salinity, pH, oxygen concentration as well as oxygen saturation. Oxygen and pH were corrected for temperature and salinity based on Standard Data Acquisition SSDA (C)opyright by SST 1999-2006. To avoid showing wrong measurements of the CTD probe, thresholds for the measured parameters were set (Temperature ≤ 25 °C, 8 ≤ Salinity ≥ 23, 5 ≤ pH ≥10, 0 mg L-1 ≤ Oxygen concentration ≥ 12 mg L-1 and 0% ≤ Oxygen Saturation ≥ 120%). Only those values were kept in the data set that did not exceed or fell below these thresholds. Furthermore, station specific depth limits were set (GEOMAR Pier ≤ 19 m, Kiel Canal Entry ≤ 13 m, Falckenstein ≤ 16 m, Laboe ≤ 17 m and Strande ≤ 17 m) and date exceeding of falling below these limits were excluded from the data set.
    Keywords: Baltic Sea; CTD/Rosette; CTD 60 (Sea & Sun Technology GmbH, Germany); CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen saturation; pH; Salinity; Site_Falckenstein; Site_GEOMAR_Pier; Site_Kiel_Canal_Entry; Site_Laboe; Site_Strande; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1935236 data points
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  • 16
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    PANGAEA
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Dana01/14; Dana01/14_104; Dana01/14_105; Dana01/14_106; Dana01/14_108; Dana01/14_112; Dana01/14_114; Dana01/14_115; Dana01/14_121; Dana01/14_123; Dana01/14_124; Dana01/14_132; Dana01/14_134; Dana01/14_141; Dana01/14_142; Dana01/14_143; Dana01/14_144; Dana01/14_149; Dana01/14_151; Dana01/14_152; Dana01/14_159; Dana01/14_160; Dana01/14_161; Dana01/14_166; Dana01/14_167; Dana01/14_169; Dana01/14_170; Dana01/14_171; Dana01/14_176; Dana01/14_177; Dana01/14_178; Dana01/14_183; Dana01/14_184; Dana01/14_186; Dana01/14_187; Dana01/14_193; Dana01/14_194; Dana01/14_195; Dana01/14_196; Dana01/14_202; Dana01/14_203; Dana01/14_204; Dana01/14_205; Dana01/14_206; Dana II; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Oxygen; Pressure, water; Salinity; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1612 data points
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  • 17
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Hafnia Sea (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Hafnia_North-Sea; Hafnia20170712; HAFNIA SEA; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 819286 data points
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  • 18
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20150221; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 196315 data points
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  • 19
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20180202; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1822524 data points
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  • 20
    Publication Date: 2023-03-13
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Norwegian Sea; Pressure, water; Salinity; Scotia; Scotia12/1; Scotia12/1_001; Scotia12/1_002; Scotia12/1_003; Scotia12/1_004; Scotia12/1_005; Scotia12/1_006; Scotia12/1_007; Scotia12/1_008; Scotia12/1_009; Scotia12/1_010; Scotia12/1_011; Scotia12/1_012; Scotia12/1_013; Scotia12/1_014; Scotia12/1_015; Scotia12/1_016; Scotia12/1_017; Scotia12/1_018; Scotia12/1_019; Scotia12/1_020; Scotia12/1_021; Scotia12/1_022; Scotia12/1_023; Scotia12/1_024; Scotia12/1_025; Scotia12/1_026; Scotia12/1_027; Scotia12/1_028; Scotia12/1_029; Scotia12/1_030; Scotia12/1_031; Scotia12/1_032; Scotia12/1_033; Scotia12/1_034; Scotia12/1_035; Scotia12/1_036; Scotia12/1_037; Scotia12/1_038; Scotia12/1_039; Scotia12/1_040; Scotia12/1_041; Scotia12/1_042; Scotia12/1_043; Scotia12/1_044; Scotia12/1_045; Scotia12/1_046; Scotia12/1_047; Scotia12/1_048; Scotia12/1_049; Scotia12/1_050; Scotia12/1_051; Scotia12/1_052; Scotia12/1_053; Scotia12/1_054; Scotia12/1_055; Scotia12/1_056; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 16329 data points
    Location Call Number Expected Availability
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  • 21
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; English Channel; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa12/1; Thalassa12/1_001; Thalassa12/1_002; Thalassa12/1_003; Thalassa12/1_004; Thalassa12/1_005; Thalassa12/1_006; Thalassa12/1_007; Thalassa12/1_008; Thalassa12/1_009; Thalassa12/1_010; Thalassa12/1_011; Thalassa12/1_012; Thalassa12/1_013; Thalassa12/1_014; Thalassa12/1_015; Thalassa12/1_016; Thalassa12/1_017; Thalassa12/1_019; Thalassa12/1_020; Thalassa12/1_021; Thalassa12/1_022; Thalassa12/1_023; Thalassa12/1_024; Thalassa12/1_025; Thalassa12/1_026; Thalassa12/1_027; Thalassa12/1_028; Thalassa12/1_029; Thalassa12/1_030; Thalassa12/1_031; Thalassa12/1_032; Thalassa12/1_033; Thalassa12/1_034; Thalassa12/1_035; Thalassa12/1_036; Thalassa12/1_037; Thalassa12/1_038; Thalassa12/1_039; Thalassa12/1_040; Thalassa12/1_041; Thalassa12/1_042; Thalassa12/1_043; Thalassa12/1_044; Thalassa12/1_045; Thalassa12/1_046; Thalassa12/1_047; Thalassa12/1_048; Thalassa12/1_049; Thalassa12/1_050; Thalassa12/1_051; Thalassa12/1_052; Thalassa12/1_053; Thalassa12/1_054; Thalassa12/1_055; Thalassa12/1_056; Thalassa12/1_057; Thalassa12/1_058; Thalassa12/1_059; Thalassa12/1_060; Thalassa12/1_061; Thalassa12/1_062; Thalassa12/1_063; Thalassa12/1_064; Thalassa12/1_065; Thalassa12/1_066; Thalassa12/1_067; Thalassa12/1_068; Thalassa12/1_069; Thalassa12/1_070; Thalassa12/1_071; Thalassa12/1_072; Thalassa12/1_073; Thalassa12/1_074; Thalassa12/1_075; Thalassa12/1_076; Thalassa12/1_077; Thalassa12/1_078; Thalassa12/1_079; Thalassa12/1_080; Thalassa12/1_081; Thalassa12/1_082; Thalassa12/1_083; Thalassa12/1_084; Thalassa12/1_085; Thalassa12/1_086; Thalassa12/1_087; Thalassa12/1_088; Thalassa12/1_089; Thalassa12/1_090; Thalassa12/1_091; Thalassa12/1_092; Thalassa12/1_093; Thalassa12/1_094; Thalassa12/1_095; Thalassa12/1_096; Thalassa12/1_097; Thalassa12/1_098; Thalassa12/1_099; Thalassa12/1_100; Thalassa12/1_101; Thalassa12/1_102; Thalassa12/1_103; Thalassa12/1_104; Thalassa12/1_105; Thalassa12/1_106; Thalassa12/1_107; Thalassa12/1_108; Thalassa12/1_109; Thalassa12/1_110; Thalassa12/1_111; Thalassa12/1_112; Thalassa12/1_113; Thalassa12/1_114; Thalassa12/1_115; Thalassa12/1_116; Thalassa12/1_117; Thalassa12/1_118; Thalassa12/1_119; Thalassa12/1_120; Thalassa12/1_121; Thalassa12/1_122; Thalassa12/1_123; Thalassa12/1_124; Thalassa12/1_125; Thalassa12/1_126; Thalassa12/1_127; Thalassa12/1_128; Thalassa12/1_129; Thalassa12/1_130; Thalassa12/1_131; Thalassa12/1_132; Thalassa12/1_133; Thalassa12/1_134; Thalassa12/1_135; Thalassa12/1_136; Thalassa12/1_137; Thalassa12/1_138; Thalassa12/1_139; Thalassa12/1_140; Thalassa12/1_141; Thalassa12/1_142; Thalassa12/1_143; Thalassa12/1_144; Thalassa12/1_145; Thalassa12/1_146; Thalassa12/1_147; Thalassa12/1_148; Thalassa12/1_149; Thalassa12/1_150; Thalassa12/1_151; Thalassa12/1_152; Thalassa12/1_153; Thalassa12/1_154; Thalassa12/1_155; Thalassa12/1_156; Thalassa12/1_157; Thalassa12/1_158; Thalassa12/1_159; Thalassa12/1_160; Thalassa12/1_161; Thalassa12/1_162; Thalassa12/1_163; Thalassa12/1_164; Thalassa12/1_165; Thalassa12/1_166; Thalassa12/1_167; Thalassa12/1_168; Thalassa12/1_169; Thalassa12/1_170; Thalassa12/1_171; Thalassa12/1_172; Thalassa12/1_173; Thalassa12/1_174; Thalassa12/1_175; Thalassa12/1_176; Thalassa12/1_177; Thalassa12/1_178; Thalassa12/1_179; Thalassa12/1_180; Thalassa12/1_181; Thalassa12/1_182; Thalassa12/1_183; Thalassa12/1_184; Thalassa12/1_185; Thalassa12/1_186; Thalassa12/1_187; Thalassa12/1_188; Thalassa12/1_189; Thalassa12/1_190; Thalassa12/1_191; Thalassa12/1_192; Thalassa12/1_193; Thalassa12/1_194; Thalassa12/1_195
    Type: Dataset
    Format: text/tab-separated-values, 22440 data points
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; English Channel; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Pressure, water; Salinity; Temperature, water; Tridens; Tridens12/1; Tridens12/1_001; Tridens12/1_002; Tridens12/1_003; Tridens12/1_004; Tridens12/1_005; Tridens12/1_007; Tridens12/1_008; Tridens12/1_010; Tridens12/1_011; Tridens12/1_012; Tridens12/1_015; Tridens12/1_016; Tridens12/1_017; Tridens12/1_018; Tridens12/1_019; Tridens12/1_020; Tridens12/1_021; Tridens12/1_022; Tridens12/1_023; Tridens12/1_024; Tridens12/1_025; Tridens12/1_026; Tridens12/1_027; Tridens12/1_028; Tridens12/1_029; Tridens12/1_030; Tridens12/1_031; Tridens12/1_032; Tridens12/1_033; Tridens12/1_034; Tridens12/1_035; Tridens12/1_036; Tridens12/1_037; Tridens12/1_038; Tridens12/1_039; Tridens12/1_040; Tridens12/1_041; Tridens12/1_042; Tridens12/1_043; Tridens12/1_044; Tridens12/1_045; Tridens12/1_046; Tridens12/1_047; Tridens12/1_048; Tridens12/1_049; Tridens12/1_050; Tridens12/1_051; Tridens12/1_052; Tridens12/1_053; Tridens12/1_054; Tridens12/1_055; Tridens12/1_056; Tridens12/1_057; Tridens12/1_058; Tridens12/1_101; Tridens12/1_102; Tridens12/1_103; Tridens12/1_104; Tridens12/1_105; Tridens12/1_106; Tridens12/1_109; Tridens12/1_110; Tridens12/1_111; Tridens12/1_112; Tridens12/1_113; Tridens12/1_114; Tridens12/1_115; Tridens12/1_116; Tridens12/1_117; Tridens12/1_118; Tridens12/1_119; Tridens12/1_120; Tridens12/1_121; Tridens12/1_122; Tridens12/1_123; Tridens12/1_124; Tridens12/1_125; Tridens12/1_126; Tridens12/1_127; Tridens12/1_128; Tridens12/1_129; Tridens12/1_130; Tridens12/1_131; Tridens12/1_132; Tridens12/1_133; Tridens12/1_134; Tridens12/1_135; Tridens12/1_136; Tridens12/1_1367; Tridens12/1_1368; Tridens12/1_1369; Tridens12/1_140; Tridens12/1_141; Tridens12/1_142; Tridens12/1_143; Tridens12/1_144; Tridens12/1_145; Tridens12/1_146; Tridens12/1_147; Tridens12/1_148; Tridens12/1_149; Tridens12/1_150; Tridens12/1_151; Tridens12/1_152; Tridens12/1_153; Tridens12/1_154; Tridens12/1_155; Tridens12/1_156; Tridens12/1_157; Tridens12/1_158; Tridens12/1_159; Tridens12/1_160; Tridens12/1_161; Tridens12/1_162; Tridens12/1_163; Tridens12/1_164; Tridens12/1_165; Tridens12/1_166; Tridens12/1_167; Tridens12/1_168; Tridens12/1_169; Tridens12/1_170; Tridens12/1_171; Tridens12/1_172; Tridens12/1_173; Tridens12/1_174; Tridens12/1_175; Tridens12/1_176; Tridens12/1_177; Tridens12/1_178; Tridens12/1_179; Tridens12/1_180; Tridens12/1_181; Tridens12/1_182; Tridens12/1_183; Tridens12/1_184; Tridens12/1_185; Tridens12/1_186; Tridens12/1_187; Tridens12/1_188; Tridens12/1_189; Tridens12/1_190; Tridens12/1_191; Tridens12/1_192; Tridens12/1_193; Tridens12/1_194; Tridens12/1_195; Tridens12/1_196; Tridens12/1_197; Tridens12/1_198; Tridens12/1_199; Tridens12/1_200; Tridens12/1_202; Tridens12/1_203; Tridens12/1_204; Tridens12/1_205; Tridens12/1_206; Tridens12/1_207; Tridens12/1_208; Tridens12/1_209; Tridens12/1_210; Tridens12/1_211; Tridens12/1_212; Tridens12/1_213; Tridens12/1_214; Tridens12/1_215
    Type: Dataset
    Format: text/tab-separated-values, 21305 data points
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Hafnia Sea (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments / Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Hafnia_North-Sea; Hafnia20160120; HAFNIA SEA; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 678792 data points
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20130914; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 599953 data points
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20150620; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1096947 data points
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2023-03-10
    Description: The Scotian Shelf harbors unique aggregations of the glass sponge Vazella pourtalesii providing an important habitat for benthic and pelagic fauna. Recent studies have shown that these sponge grounds have persisted in the face of strong inter-annual and multi-decadal variability in temperature and salinity. However, little is known of the environmental characteristics on hourly-seasonal time scales. This study presents the first hydrodynamic observations and associated (food) particle supply mechanisms for the Vazella sponge grounds, highlighting the influence of natural variability in environmental conditions on sponge growth and resilience. Near-bottom environmental conditions were characterized by high temporal resolution data collected with a benthic lander, deployed during a period of 10-months in the Sambro Bank Sponge Conservation Area. The lander was equipped with temperature and oxygen sensors, a current meter, a sediment trap and a video camera. In addition, water column profiles of temperature and salinity were recorded along a transect, conducted in a gradient from high to lower sponge presence probability. Over the course of the lander deployment, temperature fluctuated between 8.8-12 °C with an average of 10.6 °C ± 0.4 °C. The water contained on average 6.3 mg l-1 oxygen and near bottom current speed was on average 0.12 m/s, with peaks up to 0.47 m/s. Semi-diurnal tidal flow was observed to result in constant resuspension of particulate matter in the benthic boundary layer. Surface storm events episodically caused extremely turbid conditions on the seafloor that persisted for several days, with particles being resuspended to more than 13 m above the seabed. The carbon flux in the near-bottom sediment trap peaked during storm events and also after a spring bloom in April, when fresh phytodetritus was observed in the bottom boundary layer. While resuspension events can represent a major stressor for sponges, limiting their filtration capability and remobilizing them, episodes of strong currents and lateral particle transport likely play an important role in food supply and the replenishment of nutrients and oxygen. Our results contextualize human-induced threats such as bottom fishing and climate change by providing more knowledge of the natural environmental conditions under which sponge grounds persist.
    Keywords: B_LANDER; Bottom lander; Carbon, flux; Carbon, organic, total; Carbon/Nitrogen ratio; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Delta V Advantage IRMS coupled to a Flash 2000 EA (EA-IRMS) by a 199 Conflo IV (Thermo Fisher Scientific Inc.); Martha L. Black; MLB2017001; MLB2017001_019; Nitrogen, total; SB_01; South Atlantic Ocean; SponGES; Technicap PPS4/3 181; Total mass, flux per day; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
    Location Call Number Expected Availability
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  • 27
    Publication Date: 2023-03-13
    Keywords: MULT; Multiple investigations; n-Alkane C15; n-Alkane C16; n-Alkane C17; n-Alkane C18; n-Alkane C19; n-Alkane C20; n-Alkane C21; n-Alkane C22; n-Alkane C23; n-Alkane C24; n-Alkane C25; n-Alkane C26; n-Alkane C27; n-Alkane C28; n-Alkane C29; n-Alkane C30; n-Alkane C31; n-Alkane C32; n-Alkane C33; Odd-even predominance index; Species; Sum n-alkanes C25-C33; Yakutia-Baikal-Region; Yakutsk, Russia
    Type: Dataset
    Format: text/tab-separated-values, 951 data points
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2023-03-13
    Keywords: Acridine Orange Direct Counting (AODC); CHEMECO; Comment; DEPTH, sediment/rock; Event label; HERMES; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; MEDECO2; MEDECO2-D338-PC-5; MEDECO2-D338-PC-7; Monitoring colonisation processes in chemosynthetic ecosystems; Nile Fan Pockmark Area; Pourquoi Pas ? (2005); Prokaryotes, abundance as single cells; PUC; Push corer
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
    Location Call Number Expected Availability
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  • 29
    Publication Date: 2023-03-13
    Keywords: Acridine Orange Direct Counting (AODC); CHEMECO; Comment; DEPTH, sediment/rock; Event label; HERMES; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; Latitude of event; Longitude of event; MEDECO2; MEDECO2-D339-PC-10; MEDECO2-D339-PC-17; Monitoring colonisation processes in chemosynthetic ecosystems; Nile Fan Pockmark Area; Pourquoi Pas ? (2005); Prokaryotes, abundance as single cells; PUC; Push corer
    Type: Dataset
    Format: text/tab-separated-values, 64 data points
    Location Call Number Expected Availability
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  • 30
    Publication Date: 2023-03-13
    Keywords: Ammonium; Carbon, inorganic, dissolved; CHEMECO; Comment; DEPTH, sediment/rock; Event label; Flow injection analysis (Hall and Aller 1992); HERMES; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; Ion chromatography; Latitude of event; Longitude of event; MEDECO2; MEDECO2-D338-PC_PW-1; MEDECO2-D338-PC_PW-2; Monitoring colonisation processes in chemosynthetic ecosystems; Nile Fan Pockmark Area; Pourquoi Pas ? (2005); PUC; Push corer; Seawater analysis after Grasshoff; Silicate; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 160 data points
    Location Call Number Expected Availability
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  • 31
    Publication Date: 2023-03-13
    Keywords: Ammonium; Carbon, inorganic, dissolved; CHEMECO; Comment; DEPTH, sediment/rock; Event label; Flow injection analysis (Hall and Aller 1992); HERMES; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Hotspot Ecosystem Research on the Margins of European Seas; Ion chromatography; Latitude of event; Longitude of event; MEDECO2; MEDECO2-D339-PC_PW-1; MEDECO2-D339-PC_PW-2; Monitoring colonisation processes in chemosynthetic ecosystems; Nile Fan Pockmark Area; Pourquoi Pas ? (2005); PUC; Push corer; Seawater analysis after Grasshoff; Silicate; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
    Location Call Number Expected Availability
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  • 32
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Hafnia Sea (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments / Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Hafnia_North-Sea; Hafnia20160120; Hafnia20161128; HAFNIA SEA; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 847928 data points
    Location Call Number Expected Availability
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  • 33
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20140201; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1789792 data points
    Location Call Number Expected Availability
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  • 34
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20151210; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1630512 data points
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  • 35
    Publication Date: 2023-03-13
    Description: The submitted datasets contain surface seawater partial pressure of carbon dioxide (pCO2) values measured with Kongsberg Contros/4H-Jena HydroC-FT membrane-based sensors. These sensors were integrated on the FerryBox installed on the commercial vessel Lysbris Seaways (DFDS Seaways shipping company) travelling in the North Sea and maintained by the Coastal Research group at the Helmholtz-Zentrum Geesthacht, Germany. The pCO2 data were reprocessed from the raw data and corrected for sensor post-calibration where this was available. The instrument produces a result every second. 20-second averages are used for calculations and reported. Temperature and salinity results are also provided where available. These were measured from the underway with Falmouth Scientific Instruments/ Teledyne Instruments sensors also integrated with the FerryBox. The sensors were regularly maintained and occasionally replaced.
    Keywords: CONTROS HydroC CO2 FT sensor; DATE/TIME; FBOX; FerryBox; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hereon; HZG; LATITUDE; LONGITUDE; Lysbris_North-Sea; Lysbris20170407; LYSBRIS SEAWAYS; North Sea; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pCO2; Salinity; Salinity sensor (Teledyne RD Instruments); Temperature, water; Temperature sensor (Falmouth Scientific)
    Type: Dataset
    Format: text/tab-separated-values, 1201830 data points
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  • 36
    Publication Date: 2023-03-14
    Keywords: Benthic Chamber; Carbon dioxide, partial pressure; carbon flux exp/Cratere pt.1; carbon flux exp/Cratere pt.2; carbon flux exp/Cratere pt.3; carbon flux exp/Cratere pt.4; carbon flux exp/Cratere pt.5; CHAM; DATE/TIME; DEPTH, water; ECO2; ECO2-4; ECO2-4-90; ECO2-4-91; ECO2-4-92; ECO2-4-93; ECO2-4-94; Elevation of event; Event label; Latitude of event; Longitude of event; Panarea; pH; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 37
    Publication Date: 2023-03-14
    Keywords: Ammonium; Benthic Chamber; benthic flux\pCO2 monitoring; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CHAM; Date/time end; Date/time start; DEPTH, sediment/rock; ECO2; ECO2-7; ECO2-7-42; Elevation of event; Hydrogen sulfide; Nitrate; Nitrite; Oxygen; Panarea; pH; Phosphate; Silicon dioxide; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 38
    Publication Date: 2023-03-14
    Keywords: Ammonium; Carbon, inorganic, dissolved; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; ECO2; ECO2-CAGE / CAGE 13.4; Elevation of event; Event label; Helmer Hanssen; HelmerHanssen2013007; HH13-ECO2-306; HH13-ECO2-308; HH13-ECO2-310; HH13-ECO2-312; HH13-ECO2-314; HH13-ECO2-315; HH13-ECO2-318; HH13-ECO2-323; HH13-ECO2-324; HH13-ECO2-325; HH13-ECO2-326; HH13-ECO2-336; HH13-ECO2-338; HH13-ECO2-342; HH13-ECO2-343; HH13-ECO2-345; Infrared spectrometry (Shimadzu TOC-V); Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, organic, dissolved; Nutrient autoanalyzer (Bran and Luebbe, AAIII); Oxygen; pH; pH meter; Phosphate; Phosphorus, organic, dissolved; Silicate; Snoehvit; SPEC; Spectrophotometer; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Titration, Winkler
    Type: Dataset
    Format: text/tab-separated-values, 579 data points
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  • 39
    Publication Date: 2023-03-14
    Keywords: Ammonium; Carbon, inorganic, dissolved; Date/Time of event; DEPTH, sediment/rock; ECO2; ECO2-CAGE / CAGE 13.4; Elevation of event; Event label; Helmer Hanssen; HelmerHanssen2013007; HH13-ECO2-1; HH13-ECO2-2; HH13-ECO2-3; HH13-ECO2-4; HH13-ECO2-5; Infrared spectrometry (Shimadzu TOC-V); Latitude of event; Longitude of event; MUC; MultiCorer; Nitrate; Nitrite; Nutrient autoanalyzer (Bran and Luebbe, AAIII); pH; pH meter; Phosphate; Silicon dioxide; Snoehvit; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Titration
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 40
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Carbon dioxide; Fugacity of carbon dioxide in seawater; Hydrogen ion concentration; pH
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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  • 41
    Publication Date: 2023-03-14
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Day of experiment; pH; Season; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1074 data points
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  • 42
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Aragonite saturation state; Calculated; Carbon, inorganic, dissolved; Carbonate ion; Carbon dioxide, partial pressure; Comment of event; DATE/TIME; DEPTH, water; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; Name; Nitrate; Nitrate and Nitrite; Nitrite; Oxygen; pH; Phosphate; Salinity; Silicon; Spectrophotometry; STJ05-MC; STJ07-ROC; STJ08-MC; STJ10-MNC; STJ11-MNC; STJ12-ROC; STJ13-ROC; STJ14-MC; STJ15-MNC; Temperature, water; Virgin Islands, St. John, Caribbean Sea
    Type: Dataset
    Format: text/tab-separated-values, 2796 data points
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  • 43
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Aufsess; Carbon dioxide, partial pressure; Carbon dioxide, total; Conductivity, electrolytic; DATE/TIME; Distance; Event label; Kainach; Latitude of event; Leinleiter; Longitude of event; pH; Puettlach; Sample ID; Site; Southern Germany; Temperature, water; Trubach; Truppach; Water sample; WS; δ13C, dissolved inorganic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
    Location Call Number Expected Availability
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  • 44
    Publication Date: 2023-03-14
    Keywords: Center for Marine Environmental Sciences; China; Event label; Fransfontein; Gasbench II (Thermo) coupled to a DELTA V plus isotope ratio mass spectrometer (IRMS); Kasachstan; Khowarib; Kyrshabakty-Section; MARUM; Mass spectrometer, Thermo Fisher Scietific TRITON Plus (N-TIMS); NW Namibia; Ombaatjie; pH; PROFILE; Profile sampling; Sample code/label; SECTION, height; Xiaofenghe-Section; δ11B; δ11B, standard deviation; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 490 data points
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  • 45
    Publication Date: 2023-03-14
    Keywords: AUG; Auger; Carbon, organic; Clay; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Laboratory code/label; LATITUDE; LONGITUDE; Lora_del_Rio; Lora del Rio, Analusia, Spain; pH; ResourceCultures; Sand; SFB1070; Silt
    Type: Dataset
    Format: text/tab-separated-values, 760 data points
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  • 46
    Publication Date: 2023-03-14
    Keywords: Aquarium number; Center for Marine Environmental Sciences; MARUM; pH; Species; Survival; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 47
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Aragonite saturation state; Calculated; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CTD; CTD with attached oxygen sensor; DATE/TIME; DEPTH, water; Event label; Height above sea floor/altitude; In situ pump; ISP; Long_Bay_Reef_1; Long_Bay_Reef_2; Long_Bay_Reef_3; Long_Bay_Reef_4; Oxygen; pH; Salinity; Temperature, water; Virgin Islands, St. John, Caribbean Sea
    Type: Dataset
    Format: text/tab-separated-values, 89 data points
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  • 48
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Area/locality; Carbon dioxide, partial pressure; Carbon dioxide, total; Conductivity, electrolytic; DATE/TIME; Distance; LATITUDE; LONGITUDE; pH; Sample ID; Site; Southern Germany; Temperature, water; Water sample; Wiesent_River; WS; δ13C, dissolved inorganic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 827 data points
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  • 49
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Atomic absorption spectrometry (AAS); Bottle, Niskin 5-L; Carbon, inorganic, dissolved; Date/Time of event; DEPTH, sediment/rock; DIVER; ECO2; ECO2-8; ECO2-8-NIS-2; ECO2-8-NIS-4; ECO2-8-NIS-6; ECO2-8-PW-1; ECO2-8-PW-10; ECO2-8-PW-11; ECO2-8-PW-12; ECO2-8-PW-13; ECO2-8-PW-14; ECO2-8-PW-15; ECO2-8-PW-16; ECO2-8-PW-17; ECO2-8-PW-18; ECO2-8-PW-19; ECO2-8-PW-2; ECO2-8-PW-20; ECO2-8-PW-21; ECO2-8-PW-3; ECO2-8-PW-4; ECO2-8-PW-5; ECO2-8-PW-6; ECO2-8-PW-7; ECO2-8-PW-8; ECO2-8-PW-9; ECO2-8-PW-S1; ECO2-8-PW-S2; ECO2-8-PW-S3; ECO2-8-PW-S4; ECO2-8-PW-S5; ECO2-8-PW-S6; ECO2-8-PW-S7; ECO2-8-PW-S8; ECO2-8-PW-S9; Elevation of event; Event label; Flow injection analysis (Hall and Aller 1992); Gas chromatography; Iron; Latitude of event; Longitude of event; Manganese; Methane; NIS_5L; Nitrate and Nitrite; Nitrite; Panarea; pH; pH meter (Mettler Toledo InLab Semi-Micro); Phosphate; Photometer, methylene blue (Cline 1969); Refractometer; Salinity; Sampling by diver; Seawater analysis after Grasshoff et al., 1983 (Verlag Chemie GmbH Weinheim); Silicate; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfide; Two-point titration (Edmond 1970); Zodiac
    Type: Dataset
    Format: text/tab-separated-values, 1805 data points
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  • 50
    Publication Date: 2023-03-14
    Keywords: Archaea; Conductivity, electrical; DATE/TIME; DEPTH, water; isoGDGTs; Isoprenoid acyclic glycerol dialkyl glycerol tetraether (peak area); Lake_Chala; Lake Chala; Lake Chala, East Africa; MULT; Multiple investigations; Oxygen, dissolved; pH; Sample ID; Settling particles; SPM; Temperature, water; Ultrahigh-performance liquid chromatography (UHPLC)
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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  • 51
    Publication Date: 2023-03-14
    Keywords: AUG; Auger; Carbon, organic; Cation exchange capacity; Clay; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Laboratory code/label; LATITUDE; LONGITUDE; Lora_del_Rio; Lora del Rio, Analusia, Spain; pH; ResourceCultures; Sand; SFB1070; Silt; Water content, volumetric
    Type: Dataset
    Format: text/tab-separated-values, 5130 data points
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  • 52
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    Unknown
    PANGAEA
    In:  Odessa National I.I.Mechnikov University
    Publication Date: 2023-03-14
    Description: The Black Sea is the unique ecosystem with lots of geological, ecological and biological features. For full understanding of these systems it is very important to investigate and indentify the microbial communities, including how the environment shapes its genome. Despite the data obtained by different investigations about the certain groups of microorganisms, isolated as pure cultures on nutritive mediums the total microbial metagenome hasn't been analysed. During July 2014 the 9 sites along the coast in Odessa region were selected for sampling of surface marine water, isolation of total DNA and further sequence 16S rRNA analysis. The water sampling and filtration were accompanied by measurement of metadata for evaluation of how the environment influences the present microbial biodiversity.
    Keywords: Arkadiya_beach; Belgorod-Dnestrovskij_liman; Black Sea; Dacha_Kovalevskogo; Date/Time of event; Delfin_beach; Delta_Dunaja; DEPTH, water; Event label; Hadzibejskij_liman; Latitude of event; Longitude of event; Luzanovka_beach; pH; Suhoj_liman; Temperature, water; Water sample; WS; Zmiinij_island
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 53
    Publication Date: 2023-03-14
    Description: The objective of this study was to initiate the steps to develop a soil assessment tool for irrigated orchard soils in Central Washington, United States including defining objectives, gathering baseline data and selecting target indicators. A total of 97 apple (Malus domestica) orchard fields were sampled in Washington, United States between 2015 and 2020. Of these plots there were 30 matched pairs (60 plots) on the same or similar soil type with matching cultivar/rootstock, tree age and training system type. One field in each pair was high performing and the other underperforming based on grower description. A subset of 32 plots (16 matched pairs) were sampled for fruit yield and fruit quality. Soil samples were collected as 50 to 100-soil core composite samples (2.5 cm core) to a depth of 20 cm in the tree root zone (15-60 cm from trunk) where 10 to 20 random samples were taken in each of five locations of the 2 to 16 hectare field. Four 100 cm3 intact soil cores were used for bulk density analysis. Five 120 cm3 intact cores were taken for micro-arthropod analysis. All soil sampling was conducted during June and July after soils had warmed (〉13 °C) and 1 to 3 months before apple harvest. Water supply for each orchard site was determined using a grower survey of irrigation practices and on-site irrigation measurements and demand was estimated from evapotranspiration estimates based on meteorological data from the nearest weather station [1]. On site irrigation measurements included measurements of water volume per emitter per hour at ten locations within a block which was then multiplied by emitters per acre. Fields with insufficient irrigation were not included in matched plot analysis. Fruit yield and quality were determined by collecting grower reported packing house yield data for the previous two to four years where available. For orchards where packing house data was not collected, a subset of five representative trees were selected for each orchard. At harvest, fruit per tree were counted and 20 fruit per tree collected to determine mean fruit weight and to estimate total yield. Yield was normalized to a 0-100 scale (percent yield goal) where the reported yield was divided by the yield goal identified by the grower in order to account for the yield potential of individual varieties and growing systems.
    Keywords: Apple bioassay; Apple bioassay rating; Apple rootstock; Apple scion; Autoclaved-citrate extractable soil protein index; Autoclaved-citrate extractable soil protein rating; Available water capacity; Available water capacity rating; Basal index; Basal Index rating; Bean bioassay rating; Bean bioassay scale; biological activity; Block; Calcium; Calcium rating; Calculated; Calculated according to DuPont et al. (2021); Carbon dioxide production; Cation exchange capacity; Cation exchange capacity rating; Central Washington, United States; Clay; CO2 release during a four day incubation of air dried and rewetted soil (Zibilske L 1994); Copper; Counted per 500 cm**3 of soil; Counted per m**2 (Crossley, DA 1991); Density, bulk rating; Density, dry bulk; DTPA-Sorbitol Extractable; Enrichment index; Enrichment index rating; Event label; Infiltration rate; Infiltration rating; Iron; Irrigation stress; Labile fraction of total P extraction with sodium bicarbonate after Olsen, 1954; LATITUDE; Lesion, Pratylenchus nematodes; Lesion, Xiphenema nematodes; LONGITUDE; Loss on ignition per Gavlack R (2005); Magnesium; Magnesium rating; Manganese; Measured by inserting five 15 cm diameter rings into the soil in the weed free strip beneath the trees to a depth of 7 cm; Microarthropods; Microarthropods rating; Micronutrients rating; Nematode soil food web analysis (Ferris and Bongers (1993)); Number; Organic matter rating; Penetration resistance; Penetration resistance rating; Percentage; Permanganate oxidation method (Weil 2003); Permanganate oxidizable carbon per soil dry mass; Permanganate oxidizable carbon rating; pH; Phosphorus; Phosphorus rating; pH rating; Plot; Potassium; Potassium rating; Potentially mineralizable nitrogen; Potentially mineralizable nitrogen rating; Pratylenchus nematodes rating; Pressure chambers and ceramic plates with a known porosity per Reynolds WD (2008); Rainfall simulator method per Kettler TA (2001); Rapid soil texture procedure per Kettler TA (2001); Rating; Respiration rating; Root disease symptoms rating per Abawi, Ludwig (2004); root health; Sample comment; Sand; Sand rating; Saturated, anaerobic incubation per Schindelbeck RR (2016); see comment; Seedling growth; Silt; Sodium bicarbonate K extraction; Sodium citrate protein extraction after Walker JM (2002); soil health; Soil name; soil organic carbon; Soil organic matter; soil quality; SOILS; Soil sample; soil structure; Soil texture; Soil texture classification; Structure index; Structure index rating; Tree, age; Tree density; USA NRCS soil survey; Washington_apple_orchard_AB242; Washington_apple_orchard_AB243; Washington_apple_orchard_AB40; Washington_apple_orchard_AB41; Washington_apple_orchard_Al88; Washington_apple_orchard_Al89; Washington_apple_orchard_AR64; Washington_apple_orchard_AR65; Washington_apple_orchard_B1; Washington_apple_orchard_B13; Washington_apple_orchard_B2; Washington_apple_orchard_Bk32; Washington_apple_orchard_Bk33; Washington_apple_orchard_Br27; Washington_apple_orchard_Br28; Washington_apple_orchard_Cl34; Washington_apple_orchard_Cl35; Washington_apple_orchard_CS74; Washington_apple_orchard_CS75; Washington_apple_orchard_Cw17; Washington_apple_orchard_Cw18; Washington_apple_orchard_DS72; Washington_apple_orchard_DS73; Washington_apple_orchard_F10; Washington_apple_orchard_F46; Washington_apple_orchard_F47; Washington_apple_orchard_F9; Washington_apple_orchard_G3; Washington_apple_orchard_G4; Washington_apple_orchard_Gil278; Washington_apple_orchard_Gil279; Washington_apple_orchard_Gil380; Washington_apple_orchard_Gil381; Washington_apple_orchard_Gil4100; Washington_apple_orchard_Gil4101; Washington_apple_orchard_Gil76; Washington_apple_orchard_Gil77; Washington_apple_orchard_GO60; Washington_apple_orchard_GO61; Washington_apple_orchard_H90; Washington_apple_orchard_H91; Washington_apple_orchard_Hou38; Washington_apple_orchard_Hou39; Washington_apple_orchard_K54; Washington_apple_orchard_K55; Washington_apple_orchard_KG48; Washington_apple_orchard_KG49; Washington_apple_orchard_KMO68; Washington_apple_orchard_KMO69; Washington_apple_orchard_M14; Washington_apple_orchard_M15; Washington_apple_orchard_MJ16; Washington_apple_orchard_O50; Washington_apple_orchard_O51; Washington_apple_orchard_Ob86; Washington_apple_orchard_Ob87; Washington_apple_orchard_P21; Washington_apple_orchard_P22; Washington_apple_orchard_R11; Washington_apple_orchard_R12; Washington_apple_orchard_Rb58; Washington_apple_orchard_Rb59; Washington_apple_orchard_S70; Washington_apple_orchard_S71; Washington_apple_orchard_SF36; Washington_apple_orchard_SF37; Washington_apple_orchard_SR29; Washington_apple_orchard_SR30; Washington_apple_orchard_SR31; Washington_apple_orchard_SRO92; Washington_apple_orchard_SRO93; Washington_apple_orchard_SRO94; Washington_apple_orchard_SRO95; Washington_apple_orchard_SRO96; Washington_apple_orchard_SRO97; Washington_apple_orchard_SRO98; Washington_apple_orchard_T62; Washington_apple_orchard_T63; Washington_apple_orchard_Th7; Washington_apple_orchard_Th8; Washington_apple_orchard_Va84; Washington_apple_orchard_Va85; Washington_apple_orchard_WA19; Washington_apple_orchard_WA20; Washington_apple_orchard_WAF56; Washington_apple_orchard_WAF57; Washington_apple_orchard_Wi44; Washington_apple_orchard_Wi45; Washington_apple_orchard_Zi266; Washington_apple_orchard_Zi267; Washington_apple_orchard_Zi382; Washington_apple_orchard_Zi383; Washington_apple_orchard_Zi4102; Washington_apple_orchard_Zi4103; Washington_apple_orchard_Zi52; Washington_apple_orchard_Zi53; Water stable aggregates; Water stable aggregates rating; Xiphenema nematodes rating; Year of observation; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 7203 data points
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  • 54
    Publication Date: 2023-03-14
    Description: Copious amounts of organic carbon are stored for long periods of time in deep continental groundwaters. Little is known about its composition and cycling, mainly due to the difficulties in obtaining sample material. Cool fracture waters of different origins can be obtained under clean conditions at Äspö Hard Rock Laboratory (Äspö HRL, Sweden), operated by the Swedish Nuclear Fuel and Waste Management Company (SKB). We sampled groundwater from different depth (171 to 507 meter below sea level) in the bedrock fractures in November 2018 and March-April 2019. We assessed water chemistry and dissolved organic matter composition via stable carbon isotopic and molecular-formula level analysis in recent Baltic Sea-influenced to old saline fracture waters in the granitic Fennoscandian shield. Physicochemical parameters, major ions, water isotopic compositions (δ18O and δD), total nitrogen as well as dissolved organic matter concentration and stable isotopic composition were obtained for unfiltered groundwater samples from different boreholes.
    Keywords: aquifer; BalticSea_Äspö; BalticSea_Kalmar; Calcium; Carbon, organic, dissolved; Carbon, organic, dissolved, standard deviation; Carbon-14, modern, dissolved inorganic carbon; Carbon-14, modern, dissolved organic carbon; Chlorine; Conductivity; DATE/TIME; Elevation of event; Event label; Extraction efficiency; FT-ICR-MS; groundwater; HA2780A_1; Iron; Iron, total; Iron 2+; KA1755A_3; KA2051A01_5; KA2511A_5; KA2862A_1; KA2865A01_1; KA3105A_3; KA3385A_1; KA3510A_2; KA3600F_2; Latitude of event; Longitude of event; Magnesium; Manganese; Nitrogen, total dissolved; Nitrogen, total dissolved, standard deviation; Nitrogen in ammonium; Nitrogen in nitrate; Nitrogen in nitrite; pH; Phosphorus in phosphate; Potassium; SA1229A_1; SA1730A_1; SA2600A_1; Sodium; Sulfide in hydrogen sulfide; Sulfur in sulfate; Sweden; Temperature, water; Type; δ13C, dissolved inorganic carbon; δ13C, dissolved organic carbon; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 1050 data points
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  • 55
    Publication Date: 2023-03-14
    Description: Despite more than 25 years of research, the spatial and temporal variability of hydrothermal venting in Paleochori Bay remains poorly constrained because there are no reliable repeat measurements at discrete locations. Using a georeferenced photographic map of Paleochori Bay (https://doi.org/10.1594/PANGAEA.915881), scuba divers collected 168 porewater and seawater samples inside and outside of the bay and exact GPS coordinates were recorded for each sample. The GPS coordinates of the sampling locations should provide a foundation for future research in Paleochori Bay by enabling reliable repeat measurements. The dataset was combined with the temperature measurements previously reported (https://doi.org/10.1594/PANGAEA.915881) and contains chemical, isotopic data, as well as water depth and sediment color. All porewater samples were taken at a sediment depth of 0.1 m.
    Keywords: Arsenic; Bromine; Calcium; Chlorine; Color description; DEPTH, water; DIVER; Event label; Iron; Latitude of event; Lithium; Longitude of event; M001; M002; M003; M004; M005; M006; M007; M008; M009; M010; M011; M012; M013; M014; M015; M016; M017; M018; M019; M020; M021; M022; M023; M024; M025; M026; M028; M029; M030; M031; M032; M033; M034; M035; M036; M037; M038; M039; M040; M041; M042; M043; M044; M045; M046; M047; M048; M049; M050; M051; M052; M053; M054; M055; M056; M057; M058; M059; M060; M061; M062; M063; M064; M065; M066; M067; M068; M069; M070; M071; M072; M073; M074; M075; M076; M077; M078; M079; M080; M081; M082; M083; M084; M085; M086; M087; M088; M089; M090; M091; M092; M093; M094; M095; M096; M097; M098; M099; M100; M101; M102; M103; M104; M105; M107; M108; M109; M110; M111; M112; M113; M114; M115; M117; M118; M119; M120; M121; M122; M123; M124; M125; M126; M127; M128; M129; M130; M131; M132; M133; M134; M135; M136; M137; M138; M139; M140; M141; M142; M143; M144; M145; M146; M147; M148; M149; M150; M151; M152; M153; M154; M155; M156; M157; M158; M159; M160; M161; M162; M163; M164; M165; M166; M167; M168; Magnesium; Manganese; Palaeochori Bay, Milos, Greece; pH; Potassium; Sample type; Sampling by diver; Silicon; Sodium; Strontium; Sulfate; Temperature, water; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 3126 data points
    Location Call Number Expected Availability
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  • 56
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Position and vehicle attitude of ROV obtained on First-Year-Ice (FYI) and Multi-Year-Ice (MYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 22 May 2018.
    Keywords: ALERT2018; ALERT2018_22_1; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Heading; LATITUDE; Lincoln Sea; LONGITUDE; Pitch angle; Remote operated vehicle; Roll angle; ROV; Sampling on land
    Type: Dataset
    Format: text/tab-separated-values, 117720 data points
    Location Call Number Expected Availability
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  • 57
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Measurements of solar radiation over sea ice have been performed on First-Year-Ice (FYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 10 May 2018. The radiation measurements have been performed with Ramses spectral radiometers (TriOS, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). The irradiance sensor (cos-collector) was installed on the sea ice for surface reference measurements (solar irradiance). All times are given in UTC.
    Keywords: ALERT2018; ALERT2018_10_1; ALTITUDE; Calculated; DATE/TIME; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Irradiance, incident; Irradiance, incident, photosynthetically active; Irradiance, incident, photosynthetically active, absolute; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land; Spectral irradiance, incident at 320 nm; Spectral irradiance, incident at 321 nm; Spectral irradiance, incident at 322 nm; Spectral irradiance, incident at 323 nm; Spectral irradiance, incident at 324 nm; Spectral irradiance, incident at 325 nm; Spectral irradiance, incident at 326 nm; Spectral irradiance, incident at 327 nm; Spectral irradiance, incident at 328 nm; Spectral irradiance, incident at 329 nm; Spectral irradiance, incident at 330 nm; Spectral irradiance, incident at 331 nm; Spectral irradiance, incident at 332 nm; Spectral irradiance, incident at 333 nm; Spectral irradiance, incident at 334 nm; Spectral irradiance, incident at 335 nm; Spectral irradiance, incident at 336 nm; Spectral irradiance, incident at 337 nm; Spectral irradiance, incident at 338 nm; Spectral irradiance, incident at 339 nm; Spectral irradiance, incident at 340 nm; Spectral irradiance, incident at 341 nm; Spectral irradiance, incident at 342 nm; Spectral irradiance, incident at 343 nm; Spectral irradiance, incident at 344 nm; Spectral irradiance, incident at 345 nm; Spectral irradiance, incident at 346 nm; Spectral irradiance, incident at 347 nm; Spectral irradiance, incident at 348 nm; Spectral irradiance, incident at 349 nm; Spectral irradiance, incident at 350 nm; Spectral irradiance, incident at 351 nm; Spectral irradiance, incident at 352 nm; Spectral irradiance, incident at 353 nm; Spectral irradiance, incident at 354 nm; Spectral irradiance, incident at 355 nm; Spectral irradiance, incident at 356 nm; Spectral irradiance, incident at 357 nm; Spectral irradiance, incident at 358 nm; Spectral irradiance, incident at 359 nm; Spectral irradiance, incident at 360 nm; Spectral irradiance, incident at 361 nm; Spectral irradiance, incident at 362 nm; Spectral irradiance, incident at 363 nm; Spectral irradiance, incident at 364 nm; Spectral irradiance, incident at 365 nm; Spectral irradiance, incident at 366 nm; Spectral irradiance, incident at 367 nm; Spectral irradiance, incident at 368 nm; Spectral irradiance, incident at 369 nm; Spectral irradiance, incident at 370 nm; Spectral irradiance, incident at 371 nm; Spectral irradiance, incident at 372 nm; Spectral irradiance, incident at 373 nm; Spectral irradiance, incident at 374 nm; Spectral irradiance, incident at 375 nm; Spectral irradiance, incident at 376 nm; Spectral irradiance, incident at 377 nm; Spectral irradiance, incident at 378 nm; Spectral irradiance, incident at 379 nm; Spectral irradiance, incident at 380 nm; Spectral irradiance, incident at 381 nm; Spectral irradiance, incident at 382 nm; Spectral irradiance, incident at 383 nm; Spectral irradiance, incident at 384 nm; Spectral irradiance, incident at 385 nm; Spectral irradiance, incident at 386 nm; Spectral irradiance, incident at 387 nm; Spectral irradiance, incident at 388 nm; Spectral irradiance, incident at 389 nm; Spectral irradiance, incident at 390 nm; Spectral irradiance, incident at 391 nm; Spectral irradiance, incident at 392 nm; Spectral irradiance, incident at 393 nm; Spectral irradiance, incident at 394 nm; Spectral irradiance, incident at 395 nm; Spectral irradiance, incident at 396 nm; Spectral irradiance, incident at 397 nm; Spectral irradiance, incident at 398 nm; Spectral irradiance, incident at 399 nm; Spectral irradiance, incident at 400 nm; Spectral irradiance, incident at 401 nm; Spectral irradiance, incident at 402 nm; Spectral irradiance, incident at 403 nm; Spectral irradiance, incident at 404 nm; Spectral irradiance, incident at 405 nm; Spectral irradiance, incident at 406 nm; Spectral irradiance, incident at 407 nm; Spectral irradiance, incident at 408 nm; Spectral irradiance, incident at 409 nm; Spectral irradiance, incident at 410 nm; Spectral irradiance, incident at 411 nm; Spectral irradiance, incident at 412 nm; Spectral irradiance, incident at 413 nm; Spectral irradiance, incident at 414 nm; Spectral irradiance, incident at 415 nm; Spectral irradiance, incident at 416 nm; Spectral irradiance, incident at 417 nm; Spectral irradiance, incident at 418 nm; Spectral irradiance, incident at 419 nm; Spectral irradiance, incident at 420 nm; Spectral irradiance, incident at 421 nm; Spectral irradiance, incident at 422 nm; Spectral irradiance, incident at 423 nm; Spectral irradiance, incident at 424 nm; Spectral irradiance, incident at 425 nm; Spectral irradiance, incident at 426 nm; Spectral irradiance, incident at 427 nm; Spectral irradiance, incident at 428 nm; Spectral irradiance, incident at 429 nm; Spectral irradiance, incident at 430 nm; Spectral irradiance, incident at 431 nm; Spectral irradiance, incident at 432 nm; Spectral irradiance, incident at 433 nm; Spectral irradiance, incident at 434 nm; Spectral irradiance, incident at 435 nm; Spectral irradiance, incident at 436 nm; Spectral irradiance, incident at 437 nm; Spectral irradiance, incident at 438 nm; Spectral irradiance, incident at 439 nm; Spectral irradiance, incident at 440 nm; Spectral irradiance, incident at 441 nm; Spectral irradiance, incident at 442 nm; Spectral irradiance, incident at 443 nm; Spectral irradiance, incident at 444 nm; Spectral irradiance, incident at 445 nm; Spectral irradiance, incident at 446 nm; Spectral irradiance, incident at 447 nm; Spectral irradiance, incident at 448 nm; Spectral irradiance, incident at 449 nm; Spectral irradiance, incident at 450 nm; Spectral irradiance, incident at 451 nm; Spectral irradiance, incident at 452 nm; Spectral irradiance, incident at 453 nm; Spectral irradiance, incident at 454 nm; Spectral irradiance, incident at 455 nm; Spectral irradiance, incident at 456 nm; Spectral irradiance, incident at 457 nm; Spectral irradiance, incident at 458 nm; Spectral irradiance, incident at 459 nm; Spectral irradiance, incident at 460 nm; Spectral irradiance, incident at 461 nm; Spectral irradiance, incident at 462 nm; Spectral irradiance, incident at 463 nm; Spectral irradiance, incident at 464 nm; Spectral irradiance, incident at 465 nm; Spectral irradiance, incident at 466 nm; Spectral irradiance, incident at 467 nm; Spectral irradiance, incident at 468 nm; Spectral irradiance, incident at 469 nm; Spectral irradiance, incident at 470 nm; Spectral irradiance, incident at 471 nm; Spectral irradiance, incident at 472 nm; Spectral irradiance, incident at 473 nm; Spectral irradiance, incident at 474 nm; Spectral irradiance, incident at 475 nm; Spectral irradiance, incident at 476 nm; Spectral irradiance, incident at 477 nm; Spectral irradiance, incident at 478 nm; Spectral irradiance, incident at 479 nm; Spectral irradiance, incident at 480 nm; Spectral irradiance, incident at 481 nm; Spectral irradiance, incident at 482 nm; Spectral irradiance, incident at 483 nm; Spectral irradiance, incident at 484 nm; Spectral irradiance, incident at 485 nm; Spectral irradiance, incident at 486 nm; Spectral irradiance, incident at 487 nm; Spectral irradiance, incident at 488 nm; Spectral irradiance, incident at 489 nm; Spectral irradiance, incident at 490 nm; Spectral irradiance, incident at 491 nm; Spectral irradiance, incident at 492 nm; Spectral irradiance, incident at 493 nm; Spectral irradiance, incident at 494 nm; Spectral irradiance, incident at 495 nm; Spectral irradiance, incident at 496 nm; Spectral irradiance, incident at 497 nm; Spectral irradiance, incident at 498 nm; Spectral irradiance, incident at 499 nm; Spectral irradiance, incident at 500 nm; Spectral irradiance, incident at 501 nm; Spectral irradiance, incident at 502 nm; Spectral irradiance, incident at 503 nm; Spectral irradiance, incident at 504 nm; Spectral irradiance, incident at 505 nm; Spectral irradiance, incident at
    Type: Dataset
    Format: text/tab-separated-values, 1701022 data points
    Location Call Number Expected Availability
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  • 58
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Measurements of transmitted irradiance under sea ice have been performed on First-Year-Ice (FYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 22 May 2018. The radiation measurements have been performed with Ramses spectral radiometers (TriOS, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). The irradiance sensor (cos-collector) for energy budget calculations was installed on the ROV. All times are given in UTC.
    Keywords: ALERT2018; ALERT2018_22_1; Calculated; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Irradiance, downward; Irradiance, downward, photosynthetically active; Irradiance, downward, photosynthetically active, absolute; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land; Spectral irradiance, downward at 320 nm; Spectral irradiance, downward at 321 nm; Spectral irradiance, downward at 322 nm; Spectral irradiance, downward at 323 nm; Spectral irradiance, downward at 324 nm; Spectral irradiance, downward at 325 nm; Spectral irradiance, downward at 326 nm; Spectral irradiance, downward at 327 nm; Spectral irradiance, downward at 328 nm; Spectral irradiance, downward at 329 nm; Spectral irradiance, downward at 330 nm; Spectral irradiance, downward at 331 nm; Spectral irradiance, downward at 332 nm; Spectral irradiance, downward at 333 nm; Spectral irradiance, downward at 334 nm; Spectral irradiance, downward at 335 nm; Spectral irradiance, downward at 336 nm; Spectral irradiance, downward at 337 nm; Spectral irradiance, downward at 338 nm; Spectral irradiance, downward at 339 nm; Spectral irradiance, downward at 340 nm; Spectral irradiance, downward at 341 nm; Spectral irradiance, downward at 342 nm; Spectral irradiance, downward at 343 nm; Spectral irradiance, downward at 344 nm; Spectral irradiance, downward at 345 nm; Spectral irradiance, downward at 346 nm; Spectral irradiance, downward at 347 nm; Spectral irradiance, downward at 348 nm; Spectral irradiance, downward at 349 nm; Spectral irradiance, downward at 350 nm; Spectral irradiance, downward at 351 nm; Spectral irradiance, downward at 352 nm; Spectral irradiance, downward at 353 nm; Spectral irradiance, downward at 354 nm; Spectral irradiance, downward at 355 nm; Spectral irradiance, downward at 356 nm; Spectral irradiance, downward at 357 nm; Spectral irradiance, downward at 358 nm; Spectral irradiance, downward at 359 nm; Spectral irradiance, downward at 360 nm; Spectral irradiance, downward at 361 nm; Spectral irradiance, downward at 362 nm; Spectral irradiance, downward at 363 nm; Spectral irradiance, downward at 364 nm; Spectral irradiance, downward at 365 nm; Spectral irradiance, downward at 366 nm; Spectral irradiance, downward at 367 nm; Spectral irradiance, downward at 368 nm; Spectral irradiance, downward at 369 nm; Spectral irradiance, downward at 370 nm; Spectral irradiance, downward at 371 nm; Spectral irradiance, downward at 372 nm; Spectral irradiance, downward at 373 nm; Spectral irradiance, downward at 374 nm; Spectral irradiance, downward at 375 nm; Spectral irradiance, downward at 376 nm; Spectral irradiance, downward at 377 nm; Spectral irradiance, downward at 378 nm; Spectral irradiance, downward at 379 nm; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 381 nm; Spectral irradiance, downward at 382 nm; Spectral irradiance, downward at 383 nm; Spectral irradiance, downward at 384 nm; Spectral irradiance, downward at 385 nm; Spectral irradiance, downward at 386 nm; Spectral irradiance, downward at 387 nm; Spectral irradiance, downward at 388 nm; Spectral irradiance, downward at 389 nm; Spectral irradiance, downward at 390 nm; Spectral irradiance, downward at 391 nm; Spectral irradiance, downward at 392 nm; Spectral irradiance, downward at 393 nm; Spectral irradiance, downward at 394 nm; Spectral irradiance, downward at 395 nm; Spectral irradiance, downward at 396 nm; Spectral irradiance, downward at 397 nm; Spectral irradiance, downward at 398 nm; Spectral irradiance, downward at 399 nm; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 401 nm; Spectral irradiance, downward at 402 nm; Spectral irradiance, downward at 403 nm; Spectral irradiance, downward at 404 nm; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 406 nm; Spectral irradiance, downward at 407 nm; Spectral irradiance, downward at 408 nm; Spectral irradiance, downward at 409 nm; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 411 nm; Spectral irradiance, downward at 412 nm; Spectral irradiance, downward at 413 nm; Spectral irradiance, downward at 414 nm; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 416 nm; Spectral irradiance, downward at 417 nm; Spectral irradiance, downward at 418 nm; Spectral irradiance, downward at 419 nm; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 421 nm; Spectral irradiance, downward at 422 nm; Spectral irradiance, downward at 423 nm; Spectral irradiance, downward at 424 nm; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 426 nm; Spectral irradiance, downward at 427 nm; Spectral irradiance, downward at 428 nm; Spectral irradiance, downward at 429 nm; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 431 nm; Spectral irradiance, downward at 432 nm; Spectral irradiance, downward at 433 nm; Spectral irradiance, downward at 434 nm; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 436 nm; Spectral irradiance, downward at 437 nm; Spectral irradiance, downward at 438 nm; Spectral irradiance, downward at 439 nm; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 441 nm; Spectral irradiance, downward at 442 nm; Spectral irradiance, downward at 443 nm; Spectral irradiance, downward at 444 nm; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 446 nm; Spectral irradiance, downward at 447 nm; Spectral irradiance, downward at 448 nm; Spectral irradiance, downward at 449 nm; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 451 nm; Spectral irradiance, downward at 452 nm; Spectral irradiance, downward at 453 nm; Spectral irradiance, downward at 454 nm; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 456 nm; Spectral irradiance, downward at 457 nm; Spectral irradiance, downward at 458 nm; Spectral irradiance, downward at 459 nm; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 461 nm; Spectral irradiance, downward at 462 nm; Spectral irradiance, downward at 463 nm; Spectral irradiance, downward at 464 nm; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 466 nm; Spectral irradiance, downward at 467 nm; Spectral irradiance, downward at 468 nm; Spectral irradiance, downward at 469 nm; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 471 nm; Spectral irradiance, downward at 472 nm; Spectral irradiance, downward at 473 nm; Spectral irradiance, downward at 474 nm; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 476 nm; Spectral irradiance, downward at 477 nm; Spectral irradiance, downward at 478 nm; Spectral irradiance, downward at 479 nm; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 481 nm; Spectral irradiance, downward at 482 nm; Spectral irradiance, downward at 483 nm; Spectral irradiance, downward at 484 nm; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 486 nm; Spectral irradiance, downward at 487 nm; Spectral irradiance, downward at 488 nm; Spectral irradiance, downward at 489 nm; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 491 nm; Spectral irradiance, downward at 492 nm; Spectral irradiance, downward at 493 nm; Spectral irradiance, downward at 494 nm; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 496 nm; Spectral irradiance, downward at 497 nm; Spectral irradiance, downward at 498 nm; Spectral irradiance, downward at 499 nm; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 501 nm; Spectral irradiance, downward at 502 nm; Spectral irradiance, downward at 503 nm; Spectral irradiance, downward at 504 nm; Spectral irradiance,
    Type: Dataset
    Format: text/tab-separated-values, 1149897 data points
    Location Call Number Expected Availability
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  • 59
    Publication Date: 2023-03-16
    Description: Measurements of transmitted radiance under sea ice and corresponding incident solar radiation at the surface have been performed on First-Year-Ice (FYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 10 May 2018. The radiation measurements have been performed with Ramses spectral radiometers (TriOS, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). The radiance sensor (9° opening angle) was installed on the ROV. The transflectance is the ratio between transmitted radiance and incident irradiance. All times are given in UTC.
    Keywords: ALERT2018; ALERT2018_10_1; Calculated; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land; Transflectance; Transflectance, photosynthetically active; Transflectance at 320 nm; Transflectance at 321 nm; Transflectance at 322 nm; Transflectance at 323 nm; Transflectance at 324 nm; Transflectance at 325 nm; Transflectance at 326 nm; Transflectance at 327 nm; Transflectance at 328 nm; Transflectance at 329 nm; Transflectance at 330 nm; Transflectance at 331 nm; Transflectance at 332 nm; Transflectance at 333 nm; Transflectance at 334 nm; Transflectance at 335 nm; Transflectance at 336 nm; Transflectance at 337 nm; Transflectance at 338 nm; Transflectance at 339 nm; Transflectance at 340 nm; Transflectance at 341 nm; Transflectance at 342 nm; Transflectance at 343 nm; Transflectance at 344 nm; Transflectance at 345 nm; Transflectance at 346 nm; Transflectance at 347 nm; Transflectance at 348 nm; Transflectance at 349 nm; Transflectance at 350 nm; Transflectance at 351 nm; Transflectance at 352 nm; Transflectance at 353 nm; Transflectance at 354 nm; Transflectance at 355 nm; Transflectance at 356 nm; Transflectance at 357 nm; Transflectance at 358 nm; Transflectance at 359 nm; Transflectance at 360 nm; Transflectance at 361 nm; Transflectance at 362 nm; Transflectance at 363 nm; Transflectance at 364 nm; Transflectance at 365 nm; Transflectance at 366 nm; Transflectance at 367 nm; Transflectance at 368 nm; Transflectance at 369 nm; Transflectance at 370 nm; Transflectance at 371 nm; Transflectance at 372 nm; Transflectance at 373 nm; Transflectance at 374 nm; Transflectance at 375 nm; Transflectance at 376 nm; Transflectance at 377 nm; Transflectance at 378 nm; Transflectance at 379 nm; Transflectance at 380 nm; Transflectance at 381 nm; Transflectance at 382 nm; Transflectance at 383 nm; Transflectance at 384 nm; Transflectance at 385 nm; Transflectance at 386 nm; Transflectance at 387 nm; Transflectance at 388 nm; Transflectance at 389 nm; Transflectance at 390 nm; Transflectance at 391 nm; Transflectance at 392 nm; Transflectance at 393 nm; Transflectance at 394 nm; Transflectance at 395 nm; Transflectance at 396 nm; Transflectance at 397 nm; Transflectance at 398 nm; Transflectance at 399 nm; Transflectance at 400 nm; Transflectance at 401 nm; Transflectance at 402 nm; Transflectance at 403 nm; Transflectance at 404 nm; Transflectance at 405 nm; Transflectance at 406 nm; Transflectance at 407 nm; Transflectance at 408 nm; Transflectance at 409 nm; Transflectance at 410 nm; Transflectance at 411 nm; Transflectance at 412 nm; Transflectance at 413 nm; Transflectance at 414 nm; Transflectance at 415 nm; Transflectance at 416 nm; Transflectance at 417 nm; Transflectance at 418 nm; Transflectance at 419 nm; Transflectance at 420 nm; Transflectance at 421 nm; Transflectance at 422 nm; Transflectance at 423 nm; Transflectance at 424 nm; Transflectance at 425 nm; Transflectance at 426 nm; Transflectance at 427 nm; Transflectance at 428 nm; Transflectance at 429 nm; Transflectance at 430 nm; Transflectance at 431 nm; Transflectance at 432 nm; Transflectance at 433 nm; Transflectance at 434 nm; Transflectance at 435 nm; Transflectance at 436 nm; Transflectance at 437 nm; Transflectance at 438 nm; Transflectance at 439 nm; Transflectance at 440 nm; Transflectance at 441 nm; Transflectance at 442 nm; Transflectance at 443 nm; Transflectance at 444 nm; Transflectance at 445 nm; Transflectance at 446 nm; Transflectance at 447 nm; Transflectance at 448 nm; Transflectance at 449 nm; Transflectance at 450 nm; Transflectance at 451 nm; Transflectance at 452 nm; Transflectance at 453 nm; Transflectance at 454 nm; Transflectance at 455 nm; Transflectance at 456 nm; Transflectance at 457 nm; Transflectance at 458 nm; Transflectance at 459 nm; Transflectance at 460 nm; Transflectance at 461 nm; Transflectance at 462 nm; Transflectance at 463 nm; Transflectance at 464 nm; Transflectance at 465 nm; Transflectance at 466 nm; Transflectance at 467 nm; Transflectance at 468 nm; Transflectance at 469 nm; Transflectance at 470 nm; Transflectance at 471 nm; Transflectance at 472 nm; Transflectance at 473 nm; Transflectance at 474 nm; Transflectance at 475 nm; Transflectance at 476 nm; Transflectance at 477 nm; Transflectance at 478 nm; Transflectance at 479 nm; Transflectance at 480 nm; Transflectance at 481 nm; Transflectance at 482 nm; Transflectance at 483 nm; Transflectance at 484 nm; Transflectance at 485 nm; Transflectance at 486 nm; Transflectance at 487 nm; Transflectance at 488 nm; Transflectance at 489 nm; Transflectance at 490 nm; Transflectance at 491 nm; Transflectance at 492 nm; Transflectance at 493 nm; Transflectance at 494 nm; Transflectance at 495 nm; Transflectance at 496 nm; Transflectance at 497 nm; Transflectance at 498 nm; Transflectance at 499 nm; Transflectance at 500 nm; Transflectance at 501 nm; Transflectance at 502 nm; Transflectance at 503 nm; Transflectance at 504 nm; Transflectance at 505 nm; Transflectance at 506 nm; Transflectance at 507 nm; Transflectance at 508 nm; Transflectance at 509 nm; Transflectance at 510 nm; Transflectance at 511 nm; Transflectance at 512 nm; Transflectance at 513 nm; Transflectance at 514 nm; Transflectance at 515 nm; Transflectance at 516 nm; Transflectance at 517 nm; Transflectance at 518 nm; Transflectance at 519 nm; Transflectance at 520 nm; Transflectance at 521 nm; Transflectance at 522 nm; Transflectance at 523 nm; Transflectance at 524 nm; Transflectance at 525 nm; Transflectance at 526 nm; Transflectance at 527 nm; Transflectance at 528 nm; Transflectance at 529 nm; Transflectance at 530 nm; Transflectance at 531 nm; Transflectance at 532 nm; Transflectance at 533 nm; Transflectance at 534 nm; Transflectance at 535 nm; Transflectance at 536 nm; Transflectance at 537 nm; Transflectance at 538 nm; Transflectance at 539 nm; Transflectance at 540 nm; Transflectance at 541 nm; Transflectance at 542 nm; Transflectance at 543 nm; Transflectance at 544 nm; Transflectance at 545 nm; Transflectance at 546 nm; Transflectance at 547 nm; Transflectance at 548 nm; Transflectance at 549 nm; Transflectance at 550 nm; Transflectance at 551 nm; Transflectance at 552 nm; Transflectance at 553 nm; Transflectance at 554 nm; Transflectance at 555 nm; Transflectance at 556 nm; Transflectance at 557 nm; Transflectance at 558 nm; Transflectance at 559 nm; Transflectance at 560 nm; Transflectance at 561 nm; Transflectance at 562 nm; Transflectance at 563 nm; Transflectance at 564 nm; Transflectance at 565 nm; Transflectance at 566 nm; Transflectance at 567 nm; Transflectance at 568 nm; Transflectance at 569 nm; Transflectance at 570 nm; Transflectance at 571 nm; Transflectance at 572 nm; Transflectance at 573 nm; Transflectance at 574 nm; Transflectance at 575 nm; Transflectance at 576 nm; Transflectance at 577 nm; Transflectance at 578 nm; Transflectance at 579 nm; Transflectance at 580 nm; Transflectance at 581 nm; Transflectance at 582 nm; Transflectance at 583 nm; Transflectance at 584 nm; Transflectance at 585 nm; Transflectance at 586 nm; Transflectance at 587 nm; Transflectance at 588 nm; Transflectance at 589 nm; Transflectance at 590 nm; Transflectance at 591 nm; Transflectance at 592 nm; Transflectance at 593 nm; Transflectance at 594 nm; Transflectance at 595 nm; Transflectance at 596 nm; Transflectance at 597 nm; Transflectance at 598 nm; Transflectance at 599 nm; Transflectance at 600 nm; Transflectance at 601 nm; Transflectance at 602 nm; Transflectance at 603 nm; Transflectance at 604 nm; Transflectance at 605 nm; Transflectance at 606 nm; Transflectance at 607 nm; Transflectance at 608 nm; Transflectance at 609 nm; Transflectance at 610 nm; Transflectance at 611 nm; Transflectance at 612 nm; Transflectance at 613 nm; Transflectance at 614 nm; Transflectance at 615 nm; Transflectance at 616 nm; Transflectance at 617 nm;
    Type: Dataset
    Format: text/tab-separated-values, 1667101 data points
    Location Call Number Expected Availability
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  • 60
    Publication Date: 2023-03-16
    Description: Measurements of transmitted radiance under sea ice and corresponding incident solar radiation at the surface have been performed on First-Year-Ice (FYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 22 May 2018. The radiation measurements have been performed with Ramses spectral radiometers (TriOS, Rastede, Germany). All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). The radiance sensor (9° opening angle) was installed on the ROV. The transflectance is the ratio between transmitted radiance and incident irradiance. All times are given in UTC.
    Keywords: ALERT2018; ALERT2018_22_1; Calculated; DATE/TIME; DEPTH, water; Distance, relative, X; Distance, relative, Y; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land; Transflectance; Transflectance, photosynthetically active; Transflectance at 320 nm; Transflectance at 321 nm; Transflectance at 322 nm; Transflectance at 323 nm; Transflectance at 324 nm; Transflectance at 325 nm; Transflectance at 326 nm; Transflectance at 327 nm; Transflectance at 328 nm; Transflectance at 329 nm; Transflectance at 330 nm; Transflectance at 331 nm; Transflectance at 332 nm; Transflectance at 333 nm; Transflectance at 334 nm; Transflectance at 335 nm; Transflectance at 336 nm; Transflectance at 337 nm; Transflectance at 338 nm; Transflectance at 339 nm; Transflectance at 340 nm; Transflectance at 341 nm; Transflectance at 342 nm; Transflectance at 343 nm; Transflectance at 344 nm; Transflectance at 345 nm; Transflectance at 346 nm; Transflectance at 347 nm; Transflectance at 348 nm; Transflectance at 349 nm; Transflectance at 350 nm; Transflectance at 351 nm; Transflectance at 352 nm; Transflectance at 353 nm; Transflectance at 354 nm; Transflectance at 355 nm; Transflectance at 356 nm; Transflectance at 357 nm; Transflectance at 358 nm; Transflectance at 359 nm; Transflectance at 360 nm; Transflectance at 361 nm; Transflectance at 362 nm; Transflectance at 363 nm; Transflectance at 364 nm; Transflectance at 365 nm; Transflectance at 366 nm; Transflectance at 367 nm; Transflectance at 368 nm; Transflectance at 369 nm; Transflectance at 370 nm; Transflectance at 371 nm; Transflectance at 372 nm; Transflectance at 373 nm; Transflectance at 374 nm; Transflectance at 375 nm; Transflectance at 376 nm; Transflectance at 377 nm; Transflectance at 378 nm; Transflectance at 379 nm; Transflectance at 380 nm; Transflectance at 381 nm; Transflectance at 382 nm; Transflectance at 383 nm; Transflectance at 384 nm; Transflectance at 385 nm; Transflectance at 386 nm; Transflectance at 387 nm; Transflectance at 388 nm; Transflectance at 389 nm; Transflectance at 390 nm; Transflectance at 391 nm; Transflectance at 392 nm; Transflectance at 393 nm; Transflectance at 394 nm; Transflectance at 395 nm; Transflectance at 396 nm; Transflectance at 397 nm; Transflectance at 398 nm; Transflectance at 399 nm; Transflectance at 400 nm; Transflectance at 401 nm; Transflectance at 402 nm; Transflectance at 403 nm; Transflectance at 404 nm; Transflectance at 405 nm; Transflectance at 406 nm; Transflectance at 407 nm; Transflectance at 408 nm; Transflectance at 409 nm; Transflectance at 410 nm; Transflectance at 411 nm; Transflectance at 412 nm; Transflectance at 413 nm; Transflectance at 414 nm; Transflectance at 415 nm; Transflectance at 416 nm; Transflectance at 417 nm; Transflectance at 418 nm; Transflectance at 419 nm; Transflectance at 420 nm; Transflectance at 421 nm; Transflectance at 422 nm; Transflectance at 423 nm; Transflectance at 424 nm; Transflectance at 425 nm; Transflectance at 426 nm; Transflectance at 427 nm; Transflectance at 428 nm; Transflectance at 429 nm; Transflectance at 430 nm; Transflectance at 431 nm; Transflectance at 432 nm; Transflectance at 433 nm; Transflectance at 434 nm; Transflectance at 435 nm; Transflectance at 436 nm; Transflectance at 437 nm; Transflectance at 438 nm; Transflectance at 439 nm; Transflectance at 440 nm; Transflectance at 441 nm; Transflectance at 442 nm; Transflectance at 443 nm; Transflectance at 444 nm; Transflectance at 445 nm; Transflectance at 446 nm; Transflectance at 447 nm; Transflectance at 448 nm; Transflectance at 449 nm; Transflectance at 450 nm; Transflectance at 451 nm; Transflectance at 452 nm; Transflectance at 453 nm; Transflectance at 454 nm; Transflectance at 455 nm; Transflectance at 456 nm; Transflectance at 457 nm; Transflectance at 458 nm; Transflectance at 459 nm; Transflectance at 460 nm; Transflectance at 461 nm; Transflectance at 462 nm; Transflectance at 463 nm; Transflectance at 464 nm; Transflectance at 465 nm; Transflectance at 466 nm; Transflectance at 467 nm; Transflectance at 468 nm; Transflectance at 469 nm; Transflectance at 470 nm; Transflectance at 471 nm; Transflectance at 472 nm; Transflectance at 473 nm; Transflectance at 474 nm; Transflectance at 475 nm; Transflectance at 476 nm; Transflectance at 477 nm; Transflectance at 478 nm; Transflectance at 479 nm; Transflectance at 480 nm; Transflectance at 481 nm; Transflectance at 482 nm; Transflectance at 483 nm; Transflectance at 484 nm; Transflectance at 485 nm; Transflectance at 486 nm; Transflectance at 487 nm; Transflectance at 488 nm; Transflectance at 489 nm; Transflectance at 490 nm; Transflectance at 491 nm; Transflectance at 492 nm; Transflectance at 493 nm; Transflectance at 494 nm; Transflectance at 495 nm; Transflectance at 496 nm; Transflectance at 497 nm; Transflectance at 498 nm; Transflectance at 499 nm; Transflectance at 500 nm; Transflectance at 501 nm; Transflectance at 502 nm; Transflectance at 503 nm; Transflectance at 504 nm; Transflectance at 505 nm; Transflectance at 506 nm; Transflectance at 507 nm; Transflectance at 508 nm; Transflectance at 509 nm; Transflectance at 510 nm; Transflectance at 511 nm; Transflectance at 512 nm; Transflectance at 513 nm; Transflectance at 514 nm; Transflectance at 515 nm; Transflectance at 516 nm; Transflectance at 517 nm; Transflectance at 518 nm; Transflectance at 519 nm; Transflectance at 520 nm; Transflectance at 521 nm; Transflectance at 522 nm; Transflectance at 523 nm; Transflectance at 524 nm; Transflectance at 525 nm; Transflectance at 526 nm; Transflectance at 527 nm; Transflectance at 528 nm; Transflectance at 529 nm; Transflectance at 530 nm; Transflectance at 531 nm; Transflectance at 532 nm; Transflectance at 533 nm; Transflectance at 534 nm; Transflectance at 535 nm; Transflectance at 536 nm; Transflectance at 537 nm; Transflectance at 538 nm; Transflectance at 539 nm; Transflectance at 540 nm; Transflectance at 541 nm; Transflectance at 542 nm; Transflectance at 543 nm; Transflectance at 544 nm; Transflectance at 545 nm; Transflectance at 546 nm; Transflectance at 547 nm; Transflectance at 548 nm; Transflectance at 549 nm; Transflectance at 550 nm; Transflectance at 551 nm; Transflectance at 552 nm; Transflectance at 553 nm; Transflectance at 554 nm; Transflectance at 555 nm; Transflectance at 556 nm; Transflectance at 557 nm; Transflectance at 558 nm; Transflectance at 559 nm; Transflectance at 560 nm; Transflectance at 561 nm; Transflectance at 562 nm; Transflectance at 563 nm; Transflectance at 564 nm; Transflectance at 565 nm; Transflectance at 566 nm; Transflectance at 567 nm; Transflectance at 568 nm; Transflectance at 569 nm; Transflectance at 570 nm; Transflectance at 571 nm; Transflectance at 572 nm; Transflectance at 573 nm; Transflectance at 574 nm; Transflectance at 575 nm; Transflectance at 576 nm; Transflectance at 577 nm; Transflectance at 578 nm; Transflectance at 579 nm; Transflectance at 580 nm; Transflectance at 581 nm; Transflectance at 582 nm; Transflectance at 583 nm; Transflectance at 584 nm; Transflectance at 585 nm; Transflectance at 586 nm; Transflectance at 587 nm; Transflectance at 588 nm; Transflectance at 589 nm; Transflectance at 590 nm; Transflectance at 591 nm; Transflectance at 592 nm; Transflectance at 593 nm; Transflectance at 594 nm; Transflectance at 595 nm; Transflectance at 596 nm; Transflectance at 597 nm; Transflectance at 598 nm; Transflectance at 599 nm; Transflectance at 600 nm; Transflectance at 601 nm; Transflectance at 602 nm; Transflectance at 603 nm; Transflectance at 604 nm; Transflectance at 605 nm; Transflectance at 606 nm; Transflectance at 607 nm; Transflectance at 608 nm; Transflectance at 609 nm; Transflectance at 610 nm; Transflectance at 611 nm; Transflectance at 612 nm; Transflectance at 613 nm; Transflectance at 614 nm; Transflectance at 615 nm; Transflectance at 616 nm; Transflectance at 617 nm;
    Type: Dataset
    Format: text/tab-separated-values, 1492356 data points
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  • 61
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Times when the ROV passed along the underice markers M0 to M10 as obtained from a high definition zoom video camera (Surveyor HD, Teledyne Bowtech, Aberdeen, UK) as obtained on First-Year-Ice (FYI) during the ALERT2018 campaign (Multidisciplinary Arctic Program (MAP) - Last Ice) off Alert, Nunavut, Canada in the Lincoln Sea on 12 and 22 May 2018. Manual post-processing of the position was required because it was distorted probably because sound speed differences were not taken into account during surveys. To correct this distortion, we used the times when the ROV passed along the underice markers M0 to M10 which positions were known from GPS measurements at the surface. The ROV was kept in a stable position at the markers between start and end time. The markers were each separated by 10 m and distributed along a 100 m transect.
    Keywords: ALERT2018; ALERT2018_22_1; Date/time end; Date/time start; Distance, relative, X; Distance, relative, Y; LATITUDE; Lincoln Sea; LONGITUDE; Remote operated vehicle; ROV; Sampling on land
    Type: Dataset
    Format: text/tab-separated-values, 44 data points
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  • 62
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; Antarctica; ANT-Land_2016/17_FISP; ANT-Land_2016/17_FISP_GPS_low; AWI Antarctic Land Expedition; DATE/TIME; Filchner Ice Shelf; Filchner Ice Shelf Project; FISP; GNSS; GPS; GPSR; GPS receiver; LATITUDE; LONGITUDE; Melt Channel; Waypoint GravNav 8.8 processing software
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 63
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; Antarctica; ANT-Land_2016/17_FISP; ANT-Land_2016/17_FISP_GPS_ow; AWI Antarctic Land Expedition; DATE/TIME; Filchner Ice Shelf; Filchner Ice Shelf Project; FISP; GNSS; GPS; GPSR; GPS receiver; LATITUDE; LONGITUDE; Melt Channel; Waypoint GravNav 8.8 processing software
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 64
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; Antarctica; ANT-Land_2016/17_FISP; ANT-Land_2016/17_FISP_GPS_oe; AWI Antarctic Land Expedition; DATE/TIME; Filchner Ice Shelf; Filchner Ice Shelf Project; FISP; GNSS; GPS; GPSR; GPS receiver; LATITUDE; LONGITUDE; Melt Channel; Waypoint GravNav 8.8 processing software
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 65
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; Antarctica; ANT-Land_2015/16_FISP; ANT-Land_2015/16_FISP_GPS_se_long; AWI Antarctic Land Expedition; DATE/TIME; Filchner Ice Shelf; Filchner Ice Shelf Project; FISP; GNSS; GPS; GPSR; GPS receiver; LATITUDE; LONGITUDE; Melt Channel; Waypoint GravNav 8.8 processing software
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 66
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; Antarctica; ANT-Land_2016/17_FISP; ANT-Land_2016/17_FISP_GPS_se; AWI Antarctic Land Expedition; DATE/TIME; Filchner Ice Shelf; Filchner Ice Shelf Project; FISP; GNSS; GPS; GPSR; GPS receiver; LATITUDE; LONGITUDE; Melt Channel; Waypoint GravNav 8.8 processing software
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 67
    Publication Date: 2023-03-16
    Description: The data was collected with an IRIS Syscal Pro Deep Marine resistivity system that was equipped with a GPS and an echo-sounder to record water depths. The geoelectric cable had an electrode separation of 10 m and the electrodes were arranged in a reciprocal Wenner Schlumberger array. The offset between the first electrode and the boat was approximately 10 m.
    Keywords: Alas; AWI Arctic Land Expedition; BYK_profile4e_parallel_to_shore; Bykovsky; DEPTH, water; electrical resistivity; Electrical resistivity tomography; ERT; LATITUDE; Lena2017; Lena Delta; LONGITUDE; Near surface geophysics; PETA-CARB; POINT DISTANCE from start; Position; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Resistivity, apparent; Resistivity profiler, IRIS Syscal Pro Deep Marine; RU-Land_2017_Lena; Submarine Permafrost; subsea permafrost; talik; Thermokarst Lagoon
    Type: Dataset
    Format: text/tab-separated-values, 920 data points
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  • 68
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Index; LATITUDE; LONGITUDE; Name
    Type: Dataset
    Format: text/tab-separated-values, 7629 data points
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  • 69
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Index; LATITUDE; LONGITUDE; Name
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 70
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Canadian Arctic Sea Ice Mass Balance Observatory; CAS2009; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_CAS09_01; LATITUDE; Lincoln Sea; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 55555 data points
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  • 71
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Baffin Bay; Canadian Arctic Sea Ice Mass Balance Observatory; CAS2010; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_CAS10_01b; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 26956 data points
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  • 72
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; Arctic Ocean; AWI_SeaIce; Canadian Arctic Sea Ice Mass Balance Observatory; CAS2010; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_CAS10_01a; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 29969 data points
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  • 73
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Canadian Arctic Sea Ice Mass Balance Observatory; CAS2010; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_CAS10_02; LATITUDE; Lincoln Sea; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 19255 data points
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  • 74
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_01; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 44045 data points
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  • 75
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_02a; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 45973 data points
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  • 76
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_02c; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 27204 data points
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  • 77
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_02b; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 50895 data points
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  • 78
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_04; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 28906 data points
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  • 79
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_03; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 17024 data points
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  • 80
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_05; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 74147 data points
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  • 81
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_06; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 36632 data points
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  • 82
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Airborne electromagnetic induction sounding; Aircraft; AWI_SeaIce; DATE/TIME; EMA; Gulf of Finland; HEM_SFW10_01; LATITUDE; LONGITUDE; SafeWin2010; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 26066 data points
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  • 83
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_07; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 45401 data points
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  • 84
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Aircraft; AWI_SeaIce; Beaufort Sea; DATE/TIME; Electro-magnetic Bird (EM-Bird); EMB; HEM_SED07_08; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; SED2007
    Type: Dataset
    Format: text/tab-separated-values, 60153 data points
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  • 85
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Airborne electromagnetic induction sounding; Aircraft; AWI_SeaIce; DATE/TIME; EMA; Gulf of Finland; HEM_SFW10_02; LATITUDE; LONGITUDE; SafeWin2010; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 48471 data points
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  • 86
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    PANGAEA
    Publication Date: 2023-03-16
    Description: The knowledge about processes concerning perception and understanding is of paramount importance for designing means of communication like maps and charts. This is especially the case, if one does not want to lose sight of the map-user and if map-design is to be orientated along the map-users needs and preferences in order to improve the cartographic product's usability. A scientific approach to visualization can help to achieve useable results. The insights achieved by such an approach can lead to modes of visualization that are superior to those, which have seemingly proved their value in praxis – so-called "bestpractices" –, concerning their utility and efficiency. This thesis shows this by using the example of visualizing the limits of bodies of waters in the Southern Ocean. After making some introductorily remarks on the chosen mode of problem-solution in chapter one, which simultaneously illustrate the flow of work while working on the problem, in chapter two the relevant information concerning the drawing of limits in the Southern Ocean is outlined. Chapter 3 builds the theoretical framework, which is a multidisciplinary approach to representation. This theoretical framework is based on "How Maps Work" by the American Cartographer MacEachren (1995/2004). His "scientific approach to visualization" is amended and adjusted by the knowledge gained from recent findings of the social sciences where necessary. So, the approach suggested in this thesis represents a synergy of psychology, sociology, semiotics, linguistics, communication theory and cartography. It follows the tradition of interdisciplinary research getting over the boundaries of a single scientific subject. The achieved holistic approach can help to improve the usability of cartographic products. It illustrates on the one hand those processes taking place while perceiving and recognizing cartographic information – so-called bottom-up-processes. On the other hand it illuminates the processes which happen during understanding this information in so-called top-down-processes. Bottom-up- and top-down-processes are interdependent and inseparably interrelated and therefore cannot be understood without each other. Regarding aspects of usability the approach suggested in this thesis strongly focuses on the map-user. This is the reason why the phenomenon of communication gains more weight than in MacEachren's map-centered approach. Because of this, in chapter 4 a holistic approach to communication is developed. This approach makes clear that only the map-user can evaluate the usability of a cartographic product. Only if he can extract the information relevant for him from the cartographical product, it is really useable. The concept of communication is well suited to conceive that. In case of the visualization of limits of bodies of water in the Southern Ocean, which is not complex enough to illustrate all results of the theoretical considerations, it is suggested to visualize the limits with red lines. This suggestion deviates from the commonly used mode of visualization. So, this thesis shows how theory is able to ameliorate praxis. Chapter 5 leads back to the task of fixing limits of the bodies of water in the area of concern. A convention by the International Hydrographic Organization (IHO) states that those limits should be drawn by using meridians, parallels, rhumb lines and bathymetric data. Based on the available bathymetric data both a representation and a process model are calculated, which should support the drawing of the limits. The quality of both models, which depends on the quality of the bathymetric data at hand, leads to the decision that the representation model is better suited to support the drawing of limits.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 69.3 MBytes
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  • 87
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; Airborne electromagnetic induction sounding; Aircraft; Arctic Ocean; AWI_SeaIce; DATE/TIME; EMA; HEM_SZN09_01; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness; Seasonal Ice Zone Observation Network; SIZONet2009
    Type: Dataset
    Format: text/tab-separated-values, 5454 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2023-03-16
    Keywords: Anihue2012; Anihue2012_CTD01-16; Anihue2012_CTD01-23; Anihue2012_CTD01-34; Anihue2012_CTD01-38; Anihue2012_CTD02-20; Anihue2012_CTD03-19; Anihue2012_CTD04-17; Anihue2012_CTD05-21; Anihue2012_CTD06-24; Anihue2012_CTD07-25; Anihue2012_CTD08-26; Anihue2012_CTD09-27; Anihue2012_CTD10-28; Anihue2012_CTD11-29; Anihue2012_CTD12-30; Anihue2012_CTD13-31; Anihue2012_CTD14-36; Anihue2012_CTD15-39; Anihue2012_CTD16-40; Anihue2012_CTD17-37; Brazo Pillan, Chile; Calculated; Central Brazo Pian; Central Piti Palena 1; Central Piti Palena 2; Central Piti Palena 3; Chlorophyll a; CTD, handheld; CTD, SEA-BIRD SEACAT 19 plus; CTD with attached oxygen sensor; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; End of Brazo Pian; Entrance of Brazo Pian; Event label; Fluorometer, SCUFA; hCTD; Isla Chica; Isla Jaime; Las Hermanas; Latitude of event; Longitude of event; Oxygen; Palena Bay, Chile; pH; pH sensor, SBE 18i1200; Piti Palena Fjord, Chile; Pressure, water; Punto Pian; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 26320 data points
    Location Call Number Expected Availability
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  • 89
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Finland; HEM_IRIS03_01; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 36777 data points
    Location Call Number Expected Availability
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  • 90
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Finland; HEM_IRIS03_02; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 29362 data points
    Location Call Number Expected Availability
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  • 91
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_03; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 8763 data points
    Location Call Number Expected Availability
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  • 92
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_04; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 30620 data points
    Location Call Number Expected Availability
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  • 93
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_05; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 34748 data points
    Location Call Number Expected Availability
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  • 94
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_08; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 34767 data points
    Location Call Number Expected Availability
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  • 95
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_06; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 28705 data points
    Location Call Number Expected Availability
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  • 96
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_07; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 31129 data points
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_10; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 36080 data points
    Location Call Number Expected Availability
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  • 98
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Finland; HEM_IRIS03_12; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 39518 data points
    Location Call Number Expected Availability
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  • 99
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Bothnia; HEM_IRIS03_09; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 29666 data points
    Location Call Number Expected Availability
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  • 100
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Airborne electromagnetic (EM) induction sounding; AWI_SeaIce; Electro-magnetic Bird (EM-Bird); EMB; Gulf of Finland; HEM_IRIS03_11; Ice Ridging Information for Decision Making in Shipping Operations; IRIS; IRIS2003; LATITUDE; LONGITUDE; Sea Ice Physics @ AWI; Sea ice thickness
    Type: Dataset
    Format: text/tab-separated-values, 29782 data points
    Location Call Number Expected Availability
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