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  • American Chemical Society (ACS)  (22,333)
  • PANGAEA  (15,629)
  • 2010-2014  (37,962)
  • 1975-1979
  • 1930-1934
  • 1920-1924
  • 2012  (25,761)
  • 2011  (12,201)
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  • 2010-2014  (37,962)
  • 1975-1979
  • 1930-1934
  • 1920-1924
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  • 1
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    PANGAEA
    In:  Supplement to: Walther, Kathleen; Sartoris, Franz-Josef; Pörtner, Hans-Otto (2011): Impacts of temperature and acidification on larval calcium incorporation of the spider crab Hyas araneus from different latitudes (54° vs. 79°N). Marine Biology, 158(9), 2043-2053, https://doi.org/10.1007/s00227-011-1711-x
    Publication Date: 2023-03-16
    Description: The combined effects of ocean warming and acidification were compared in larvae from two popula- tions of the cold-eurythermal spider crab Hyas araneus, from one of its southernmost populations (around Helgo- land, southern North Sea, 54°N, habitat temperature 3-18°C; collection: January 2008, hatch: January-February 2008) and from one of its northernmost populations (Svalbard, North Atlantic, 79°N, habitat temperature 0-6°C; collection: July 2008, hatch: February-April 2009). Larvae were exposed to temperatures of 3, 9 and 15°C combined with present-day normocapnic (380 ppm CO2) and projected future CO2 concentrations (710 and 3,000 ppm CO2). Calcium content of whole larvae was measured in freshly hatched Zoea I and after 3, 7 and 14 days during the Megalopa stage. Significant differences between Helgoland and Svalbard Megalopae were observed at all investigated temperatures and CO2 condi- tions. Under 380 ppm CO2, the calcium content increased with rising temperature and age of the larvae. At 3 and 9°C, Helgoland Megalopae accumulated more calcium than Svalbard Megalopae. Elevated CO2 levels, especially 3,000 ppm, caused a reduction in larval calcium contents at 3 and 9°C in both populations. This effect set in early, at 710 ppm CO2 only in Svalbard Megalopae at 9°C. Fur- thermore, at 3 and 9°C Megalopae from Helgoland replenished their calcium content to normocapnic levels and more rapidly than Svalbard Megalopae. However, Svalbard Megalopae displayed higher calcium contents under 3,000 ppm CO2 at 15°C. The findings of a lower capacity for calcium incorporation in crab larvae living at the cold end of their distribution range suggests that they might be more sensitive to ocean acidification than those in temperate regions.
    Keywords: Animalia; Arctic; Arthropoda; AWI_EcolChem; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Coast and continental shelf; Ecological Chemistry @ AWI; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Hyas araneus; Laboratory experiment; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Pelagos; Polar; Single species; Temperate; Temperature; Zooplankton
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Kravchishina, Marina D; Lisitzin, Alexander P (2011): Grain-size composition of the suspended particulate matter in the marginal filter of the Severnaya Dvina River. Translated from Okeanologiya, 2011, 51(1), 94-109, Oceanology, 51(1), 89-104, https://doi.org/10.1134/S0001437011010097
    Publication Date: 2023-03-16
    Description: Quantitative distribution and grain size composition of suspended particulate matter (SPM) in the marginal filter of the North (Severnaya) Dvina River during summer low water periods of 2001-2005 were analyzed in water on board immediately after sampling (without preliminary treatment) using a Coulter counter. This analysis revealed main regularities in transformation of grain size spectra at successive salinity steps of the marginal filter, as well as boundaries between these steps based on data obtained by direct complex studies of SPM dispersion. It is established that water salinity is the main factor that controls changes in grain size distribution and composition of suspended matter in the marginal filter. Concentrations of 〈0.01 mm size fraction and salinity demonstrate negative correlations between each other. It is shown that areas characterized by mass development of phytoplankton are located along the outer boundary of the marginal filter (at the biological step), where salinity reaches 23-24 psu. Contents of particulate forms of some chemical (lithogenic) elements and organic carbon indicating genetic composition of SPM and their relations with grain size composition of SPM are studied.
    Keywords: Archive of Ocean Data; ARCOD; Bottle, Niskin; Bucket, plastic; IPE-57-1; IPE-57-13; IPE-57-15; IPE-57-17; IPE-57-19; IPE-57-2; IPE-57-22; IPE-57-26; IPE-57-5; IPE-57-9; KL-11rk; KL-14rk; KL-2rk; KL-5rk; KL-7rk; KL-9rk; KL-MF-1; KL-MF-12; KL-MF-13; KL-MF-14; KL-MF-15; KL-MF-16; KL-MF-17; KL-MF-18; KL-MF-19; KL-MF-20; KL-P-2; NIS; North Dvina mouth area; Professor Shtokman; PSh-4921; PSh-6401; PSh71; PSh-7109; PSh-7111; PSh-7112; PSh-7115; PSh-7116; PSh-7120; WB; White Sea
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Goroslavskaya, E I; Galkin, Sergey V (2011): Benthic fauna associated with mussel beds and shrimp swarms at hydrothermal fields on the Mid-Atlantic Ridge. Translated from Okeanologiya, 2011, 51(1), 74-84, Oceanology, 51(1), 69-79, https://doi.org/10.1134/S0001437011010048
    Publication Date: 2023-03-16
    Description: Macrofaunal assemblages with prevalence of Bresiliidae shrimps and Mytilidae mussels are abundant in at hydrothermal vents along the Mid-Atlantic Ridge. Mussels inhabit zones of diffuse seeps of hydrothermal fluids with temperature abnormalities up to several degrees. Shrimps inhabit an extreme biotope in a mixed interface between seawater and hydrothermal fluids at temperature up to 20-30°C. We studied the mussel and shrimp assemblages in three hydrothermal vent fields: Rainbow, Broken Spur, and Snake Pit. Species richness of the mussel assemblages within at least two fields (Broken Spur and Snake Pit) is higher as compared with shrimps from the same hydrothermal vent fields. Fauna inhibiting shrimp swarms lack almost any taxa specific for particular assemblages: almost all the taxa are also present in the mussel beds. Structure of the shrimp assemblage is less homogeneous as compared with that of the mussel assemblage. Population prevalence of one taxon (Copepoda) in the shrimp assemblage is most likely connected with extreme and unstable conditions of the biotope occupied by the shrimps in a hydrothermal field. Taxonomic similarity between the mussel and shrimp assemblages within one hydrothermal vent field is higher as compared with similarity between the mussel (or shrimp) assemblages from different fields.
    Keywords: Akademik Mstislav Keldysh; AMK47; AMK47-4327-1; AMK47-4330-1; AMK47-4330-2; AMK47-4332-2; AMK47-4349-1; AMK47-4358-1; AMK47-4392-2; AMK47-4393-1; AMK47-4393-2; AMK47-4393-3; AMK47-4399-1; AMK47-4402-1; AMK47-4749-2; AMK49; AMK49-4611-1; AMK49-4611-2; AMK49-4611-3; AMK49-4611-4; AMK49-4611-5; AMK50; AMK50-4793-1; AMK50-4797-1; AMK50-4797-4; AMK50-4797-5; AMK50-4797-6; AMK50-4812-1; AMK50-4812-4; AMK50-4819-10; AMK50-4819-12; AMK50-4819-17; AMK50-4819-8; Archive of Ocean Data; ARCOD; Broken Spur Hydrothermal Field; Broken Srur Hydrothermal Field; Broken Srur Hydrothermal Field, K point mound; MIR; MIR deep-sea manned submersible; Rainbow Hydrothermal Field; Snake Pit Hydrothermal Field; Snake Pit Hydrothermal Field, Beehive mound
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Nemirovskaya, Inna A; Chemyavskii, N G (2011): Studies of hydrocarbons in the waters and snow-ice cover of the southeast sector of the Antarctic. Translated from Okeanologiya, 2011, 51(1), 5-15, Oceanology, 51(1), 4-14, https://doi.org/10.1134/S0001437011010139
    Publication Date: 2023-03-16
    Description: Data are presented on concentration of hydrocarbons (HC) relative to concentrations of suspended matter, lipids, organic carbon, and chlorophyll a in surface waters and snow-ice cover of the East Antarctic coastal areas. It was shown that growth of concentrations of aliphatic HC (AHC) to 30 µg/l in surface waters takes place in frontal zones and under young ice formation. AHC concentration in snow increases with growth of aerosol concentration in the atmosphere. In the lower part of ice, at the boundary with seawater, despite low temperatures, autochthonous processes may provide high AHC concentrations (up to 289 µg/l). Within the snow-ice cover on fast ice, concentration co-variations of all the compounds considered take place.
    Keywords: AF2008-NLS; Akademik Mstislav Keldysh; AMK50; Archive of Ocean Data; ARCOD; DruzhnSt-2008; MirnySt-2008; Mirny Station; MULT; Multiple investigations; ProgrSt-2008; Prydz Bay, Collaboration Sea; Southern Ocean - Atlantic Sector
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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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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  • 6
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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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  • 7
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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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  • 8
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; AV3; AV3_175-1; AV3_176-1; AV3_177-1; AV3_178-1; AV3_179-1; AV3_180-1; AV3_181-1; AV3_182-1; AV3_183-1; AV3_184-1; AV3_185-1; AV3_186-1; AV3_187-1; AV3_189-1; AV3_190-1; AV3_191-1; AV3_192-1; AV3_193-1; AV3_194-1; AV3_195-1; AV3_196-1; AV3_197-1; AV3_199-1; AV3_200-1; AV3_201-1; AV3_202-1; AV3_203-1; AV3_205-1; AV3_206-1; AV3_207-1; AV3_209-1; AV3_210-1; AV3_211-1; AV3_212-1; AV3_214-1; AV3_215-1; AV3_216-1; AV3_217-1; AV3_219-1; AV3_221-1; AV3_222-1; AV3_223-1; AV3_224-1; AV3_225-1; AV3_226-1; AV3_227-1; AV3_228-1; AV3_229-1; AV3_230-1; Canarias Sea; Caribbean Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4042 data points
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  • 9
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    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK33; PK33_5954; PK33_5956; PK33_5957; PK33_5958; PK33_5959; PK33_5960; PK33_5961; PK33_5962; PK33_5963; PK33_5964; PK33_5965; PK33_5966; PK33_5967; PK33_5968; PK33_5969; PK33_5970; PK33_5971; PK33_5972; PK33_5973; PK33_5974; PK33_5975; PK33_5977; PK33_5979; PK33_5981; PK33_5984; PK33_5985; PK33_5987; PK33_5990; PK33_5991; PK33_5992; PK33_5994; PK33_5996; PK33_5997; PK33_5998; PK33_5999; PK33_6000; PK33_6001; PK33_6004; PK33_6005; PK33_6006; PK33_6007; PK33_6008; PK33_6009; PK33_6010; PK33_6011; PK33_6012; PK33_6013; PK33_6015; PK33_6017; PK33_6018; PK33_6019; PK33_6020; PK33_6021; PK33_6022; PK33_6023; PK33_6024; PK33_6025; PK33_6026; PK33_6028; PK33_6029; PK33_6030; PK33_6031; PK33_6032; PK33_6033; PK33_6034; PK33_6035; PK33_6036; PK33_6037; PK33_6038; PK33_6039; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 6574 data points
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  • 10
    Publication Date: 2023-03-14
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using CO2SYS; Carbon, inorganic, dissolved; EPOCA; European Project on Ocean Acidification; Experimental treatment; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Temperature, water; WTW 340i pH-analyzer and WTW SenTix 81-electrode
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
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  • 11
    Publication Date: 2023-03-14
    Keywords: Bicarbonate ion; Calcium; Calculated; Chloride; Conductivity, electrolytic; Date/Time of event; Delta_Pingo; Disko Island, West Greenland; Event label; Fan_Pingo; Geological sample; GEOS; Magnesium; pH; Potassium; Sodium; Sodium/Potassium ratio; Sulfate; Sulfate/Chlorine ratio; δ18O
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 12
    Publication Date: 2023-03-14
    Keywords: Adenosine 5-Triphosphate; Calcium; Casey_Station; Chlorine; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Loss on ignition; Magnesium; pH; Phosphate; Sample code/label; Sample type; STAT; Station; Vincennes Bay, Antarctica; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 13
    Publication Date: 2023-03-14
    Keywords: 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; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa11/1; Thalassa11/1_001; Thalassa11/1_002; Thalassa11/1_004; Thalassa11/1_005; Thalassa11/1_006; Thalassa11/1_007; Thalassa11/1_008; Thalassa11/1_009; Thalassa11/1_010; Thalassa11/1_011; Thalassa11/1_012; Thalassa11/1_013; Thalassa11/1_014; Thalassa11/1_015; Thalassa11/1_016; Thalassa11/1_017; Thalassa11/1_018; Thalassa11/1_019; Thalassa11/1_020; Thalassa11/1_021; Thalassa11/1_022; Thalassa11/1_023; Thalassa11/1_024; Thalassa11/1_025; Thalassa11/1_026; Thalassa11/1_027; Thalassa11/1_028; Thalassa11/1_029; Thalassa11/1_030; Thalassa11/1_031; Thalassa11/1_032; Thalassa11/1_034; Thalassa11/1_035; Thalassa11/1_036; Thalassa11/1_037; Thalassa11/1_038; Thalassa11/1_039; Thalassa11/1_040; Thalassa11/1_041; Thalassa11/1_042; Thalassa11/1_043; Thalassa11/1_044; Thalassa11/1_045; Thalassa11/1_046; Thalassa11/1_047; Thalassa11/1_048; Thalassa11/1_049; Thalassa11/1_050; Thalassa11/1_051; Thalassa11/1_052; Thalassa11/1_053; Thalassa11/1_054; Thalassa11/1_055; Thalassa11/1_056; Thalassa11/1_057; Thalassa11/1_058; Thalassa11/1_059; Thalassa11/1_060; Thalassa11/1_061; Thalassa11/1_062; Thalassa11/1_063; Thalassa11/1_064; Thalassa11/1_065; Thalassa11/1_066; Thalassa11/1_067; Thalassa11/1_068; Thalassa11/1_069; Thalassa11/1_070; Thalassa11/1_071; Thalassa11/1_072; Thalassa11/1_073; Thalassa11/1_074; Thalassa11/1_075; Thalassa11/1_076; Thalassa11/1_077; Thalassa11/1_078; Thalassa11/1_079; Thalassa11/1_080; Thalassa11/1_081; Thalassa11/1_082; Thalassa11/1_083; Thalassa11/1_084; Thalassa11/1_085; Thalassa11/1_086; Thalassa11/1_087; Thalassa11/1_088; Thalassa11/1_089; Thalassa11/1_090; Thalassa11/1_091; Thalassa11/1_092; Thalassa11/1_093; Thalassa11/1_094; Thalassa11/1_095; Thalassa11/1_096; Thalassa11/1_097; Thalassa11/1_098; Thalassa11/1_099; Thalassa11/1_100; Thalassa11/1_101; Thalassa11/1_102; Thalassa11/1_103; Thalassa11/1_104; Thalassa11/1_105; Thalassa11/1_106; Thalassa11/1_107; Thalassa11/1_108; Thalassa11/1_109; Thalassa11/1_110; Thalassa11/1_111; Thalassa11/1_112; Thalassa11/1_113; Thalassa11/1_114; Thalassa11/1_115; Thalassa11/1_116; Thalassa11/1_117; Thalassa11/1_118; Thalassa11/1_119; Thalassa11/1_120; Thalassa11/1_121; Thalassa11/1_122; Thalassa11/1_123; Thalassa11/1_124; Thalassa11/1_125; Thalassa11/1_126; Thalassa11/1_127; Thalassa11/1_128; Thalassa11/1_129; Thalassa11/1_130; Thalassa11/1_131; Thalassa11/1_132; Thalassa11/1_133; Thalassa11/1_134; Thalassa11/1_135; Thalassa11/1_136; Thalassa11/1_137; Thalassa11/1_138; Thalassa11/1_139; Thalassa11/1_140; Thalassa11/1_141; Thalassa11/1_143; Thalassa11/1_144; Thalassa11/1_145; Thalassa11/1_146; Thalassa11/1_147; Thalassa11/1_148; Thalassa11/1_149; Thalassa11/1_150; Thalassa11/1_151; Thalassa11/1_152; Thalassa11/1_153; Thalassa11/1_154; Thalassa11/1_155; Thalassa11/1_159; Thalassa11/1_160; Thalassa11/1_161; Thalassa11/1_162; Thalassa11/1_163; Thalassa11/1_164; Thalassa11/1_165; Thalassa11/1_166; Thalassa11/1_167; Thalassa11/1_168; Thalassa11/1_169; Thalassa11/1_170; Thalassa11/1_171; Thalassa11/1_172; Thalassa11/1_173; Thalassa11/1_175; Thalassa11/1_176; Thalassa11/1_177; Thalassa11/1_178; Thalassa11/1_179; Thalassa11/1_180; Thalassa11/1_181; Thalassa11/1_182; Thalassa11/1_183; Thalassa11/1_184; Thalassa11/1_185; Thalassa11/1_186; Thalassa11/1_187; Thalassa11/1_188; Thalassa11/1_189; Thalassa11/1_190; Thalassa11/1_191; Thalassa11/1_192; Thalassa11/1_193; Thalassa11/1_194; Thalassa11/1_195; Thalassa11/1_196; Thalassa11/1_197; Thalassa11/1_198; Thalassa11/1_199; Thalassa11/1_200; Thalassa11/1_201; Thalassa11/1_202; Thalassa11/1_203; Thalassa11/1_204; Thalassa11/1_205; Thalassa11/1_206; Thalassa11/1_207; Thalassa11/1_208; Thalassa11/1_209; Thalassa11/1_210; Thalassa11/1_211; Thalassa11/1_212
    Type: Dataset
    Format: text/tab-separated-values, 29818 data points
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  • 14
    Publication Date: 2023-03-13
    Keywords: Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Ageprofile Datum Description; CIROS; CIROS-2; Comment; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DRILL; Drilling/drill rig; Error, absolute; McMurdo Sound; Sampling/drilling ice
    Type: Dataset
    Format: text/tab-separated-values, 184 data points
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  • 15
    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; Pressure, water; Salinity; Scotia; Scotia11/2; Scotia11/2_19; Scotia11/2_20; Scotia11/2_21; Scotia11/2_22; Scotia11/2_23; Scotia11/2_24; Scotia11/2_25; Scotia11/2_26; Scotia11/2_27; Scotia11/2_28; Scotia11/2_29; Scotia11/2_30; Scotia11/2_31; Scotia11/2_32; Scotia11/2_33; Scotia11/2_34; Scotia11/2_35; Scotia11/2_36; Scotia11/2_37; Scotia11/2_38; Scotia11/2_39; Scotia11/2_40; Scotia11/2_41; Scotia11/2_42; Scotia11/2_43; Scotia11/2_44; Scotia11/2_45; Scotia11/2_46; Scotia11/2_47; Scotia11/2_48; Scotia11/2_49; Scotia11/2_50; Scotia11/2_51; Scotia11/2_52; Scotia11/2_53; Scotia11/2_54; Scotia11/2_55; Scotia11/2_56; Scotia11/2_57; Scotia11/2_58; Scotia11/2_59; Scotia11/2_60; Scotia11/2_61; Scotia11/2_62; Scotia11/2_63; Scotia11/2_64; Scotia11/2_65; Scotia11/2_66; Scotia11/2_67; Scotia11/2_68; Scotia11/2_69; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2859 data points
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2023-03-13
    Keywords: 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; Pressure, water; Salinity; Temperature, water; Tridens; Tridens11/1; Tridens11/1_01; Tridens11/1_02; Tridens11/1_03; Tridens11/1_04; Tridens11/1_05; Tridens11/1_06; Tridens11/1_07; Tridens11/1_08; Tridens11/1_09; Tridens11/1_10; Tridens11/1_11; Tridens11/1_12; Tridens11/1_13; Tridens11/1_14; Tridens11/1_15; Tridens11/1_16; Tridens11/1_17; Tridens11/1_18; Tridens11/1_19; Tridens11/1_20; Tridens11/1_21; Tridens11/1_22; Tridens11/1_23; Tridens11/1_24; Tridens11/1_26; Tridens11/1_27; Tridens11/1_28; Tridens11/1_29; Tridens11/1_30; Tridens11/1_31; Tridens11/1_32; Tridens11/1_33; Tridens11/1_34; Tridens11/1_35; Tridens11/1_36; Tridens11/1_37; Tridens11/1_38; Tridens11/1_39; Tridens11/1_40; Tridens11/1_41; Tridens11/1_42; Tridens11/1_43; Tridens11/1_44; Tridens11/1_45; Tridens11/1_46; Tridens11/1_47; Tridens11/1_48; Tridens11/1_49; Tridens11/1_50; Tridens11/1_51; Tridens11/1_52; Tridens11/1_53; Tridens11/1_55; Tridens11/1_56; Tridens11/1_57; Tridens11/1_58; Tridens11/1_59; Tridens11/1_60; Tridens11/1_61; Tridens11/1_62; Tridens11/1_63; Tridens11/1_64; Tridens11/1_65; Tridens11/1_66; Tridens11/1_67; Tridens11/1_68; Tridens11/1_69; Tridens11/1_70; Tridens11/1_71
    Type: Dataset
    Format: text/tab-separated-values, 7739 data points
    Location Call Number Expected Availability
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  • 17
    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; Oxygen; Pressure, water; Salinity; Temperature, water; Walther Herwig III; WH341; WH341_083; WH341_084; WH341_085; WH341_086; WH341_095; WH341_096; WH341_097; WH341_098; WH341_105; WH341_106; WH341_107; WH341_116; WH341_117; WH341_118; WH341_119; WH341_120; WH341_121; WH341_132; WH341_133; WH341_134; WH341_143; WH341_144; WH341_145; WH341_154; WH341_155; WH341_156; WH341_165; WH341_166; WH341_167; WH341_176; WH341_177; WH341_178; WH341_185; WH341_186; WH341_187; WH341_188; WH341_199; WH341_200; WH341_201; WH341_202; WH341_212; WH341_213; WH341_214; WH341_216; WH341_217; WH341_218; WH341_227; WH341_228; WH341_229; WH341_234; WH341_235; WH341_242; WH341_243; WH341_248; WH341_249; WH341_250; WH341_251; WH341_252; WH341_253; WH341_254; WH341_263; WH341_264; WH341_265; WH341_276; WH341_277; WH341_278; WH341_279
    Type: Dataset
    Format: text/tab-separated-values, 25959 data points
    Location Call Number Expected Availability
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  • 18
    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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  • 19
    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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  • 20
    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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  • 21
    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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  • 22
    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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  • 23
    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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  • 24
    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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  • 25
    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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  • 26
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Porzio, Lucia; Buia, Maria-Cristina; Hall-Spencer, Jason M (2011): Effects of ocean acidification on macroalgal communities. Journal of Experimental Marine Biology and Ecology, 400(1-2), 278-287, https://doi.org/10.1016/j.jembe.2011.02.011
    Publication Date: 2023-03-14
    Description: There are high levels of uncertainty about how coastal ecosystems will be affected by rapid ocean acidification caused by anthropogenic CO2, due to a lack of data. The few experiments to date have been short-term (〈 1 year) and reveal mixed responses depending on the species examined and the culture conditions used. It is difficult to carry out long-term manipulations of CO2 levels, therefore areas with naturally high CO2 levels are being used to help understand which species, habitats and processes are resilient to the effects of ocean acidification, and which are adversely affected. Here we describe the effects of increasing CO2 levels on macroalgal communities along a pH gradient caused by volcanic vents. Macroalgal habitat differed at taxonomic and morphological group levels along a pH gradient. The vast majority of the 101 macroalgal species studied were able to grow with only a 5% decrease in species richness as the mean pH fell from 8.1 to 7.8. However, this small fall in species richness was associated with shifts in community structure as the cover of turf algae decreased disproportionately. Calcitic species were significantly reduced in cover and species richness whereas a few non-calcified species became dominant. At mean pH 6.7, where carbonate saturation levels were 〈 1, calcareous species were absent and there was a 72% fall in species richness. Under these extremely high CO2 conditions a few species dominated the simplified macroalgal assemblage and a very few exhibited enhanced reproduction, although high CO2 levels seemed to inhibit reproduction in others. Our data show that many macroalgal species are tolerant of long-term elevations in CO2 levels but that macroalgal habitats are altered significantly as pH drops, contributing to a scant but growing body of evidence concerning the long-term effects of CO2 emissions in vegetated marine systems. Further study is now needed to investigate whether the observed response of macroalgal communities can be replicated in different seasons and from a range of geographical regions for incorporation into global modelling studies to predict effects of CO2 emissions on Earth's ecosystems.
    Keywords: Coverage; EPOCA; European Project on Ocean Acidification; LATITUDE; LONGITUDE; pH; Site; Species
    Type: Dataset
    Format: text/tab-separated-values, 1224 data points
    Location Call Number Expected Availability
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  • 27
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Trotter, Julie; Montagna, Paolo; McCulloch, Malcolm T; Silenzi, Sergio; Reynaud, Stéphanie; Mortimer, Graham; Martin, Sophie; Ferrier-Pagès, Christine; Gattuso, Jean-Pierre; Rodolfo-Metalpa, Riccardo (2011): Quantifying the pH 'vital effect' in the temperate zooxanthellate coral Cladocora caespitosa: Validation of the boron seawater pH proxy. Earth and Planetary Science Letters, 303, 163-173, https://doi.org/10.1016/j.epsl.2011.01.030
    Publication Date: 2023-03-14
    Description: Boron isotopic and elemental systematics are used to define the vital effects for the temperate shallow water Mediterranean coral Cladocora caespitosa. The corals are from a range of seawater pH conditions (pHT ~ 7.6 to ~ 8.1) and environmental settings: (1) naturally living colonies harvested from normal pH waters offshore Levanto, (2) colonies transplanted nearby a subsea volcanic vent system, and (3) corals cultured in aquaria exposed to high (700 µatm) and near present day (400 µatm) pCO2 levels. B/Ca compositions measured using laser ablation inductively coupled mass spectrometry (LA-ICPMS) show that boron uptake by C. caespitosa cultured at different pCO2 levels is independent of ambient seawater pH being mainly controlled by temperature-dependent calcification. In contrast, the boron isotope compositions (delta11Bcarb) of the full suite of corals determined by positive thermal ionisation mass spectrometry (PTIMS) shows a clear trend of decreasing delta11Bcarb (from 26.7 to 22.2 %o) with decreasing seawater pH, reflecting the strong pH dependence of the boron isotope system. The delta11Bcarb compositions together with measurements of ambient seawater parameters enable calibration of the boron pH proxy for C. caespitosa, by using a new approach that defines the relationship between ambient seawater pH (pHsw) and the internally controlled pH at the site of calcification (pHbiol). C. caespitosa exhibits a linear relationship between pHsw and the shift in pH due to physiological processes (deltapH = pHbiol - pHsw) giving the regression deltapHClad = 4.80 - 0.52* pHsw for this species. We further apply this method ("deltapH-pHsw") to calibrate tropical species of Porites, Acropora, and Stylophora reported in the literature. The temperate and tropical species calibrations are all linearly correlated (r2 〉 0.9) and the biological fractionation component (deltapH) between species varies within ~ 0.2 pH units. Our "deltapH-pHsw" approach provides a robust and accurate tool to reconstruct palaeoseawater pHsw for both temperate and tropical corals, further validating the boron fractionation factor (alphaB3-B4 = 1.0272) determined experimentally by Klochko et al. (2006) and the boron isotope pH proxy, both of which have been the foci of considerable debate.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Boron/Calcium ratio; Boron hydroxide/Bicarbonate ratio; Calculated, see reference(s); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; DATE/TIME; DISTANCE; EPOCA; European Project on Ocean Acidification; Experimental treatment; Measured; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; pH meter (Metrohm, 826 pH mobile); Salinity; see reference(s); Site; Species; Temperature, standard deviation; Temperature, water; Titration potentiometric; δ11B
    Type: Dataset
    Format: text/tab-separated-values, 29568 data points
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  • 28
    Publication Date: 2023-03-14
    Keywords: Baltic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH078; WH078_001; WH078_002; WH078_003; WH078_004; WH078_005; WH078_006; WH078_007; WH078_008; WH078_009; WH078_010; WH078_011; WH078_012; WH078_013; WH078_014; WH078_015; WH078_016; WH078_017; WH078_018; WH078_019; WH078_020; WH078_021; WH078_022; WH078_023; WH078_024; WH078_025; WH078_026; WH078_027; WH078_028; WH078_029; WH078_030; WH078_031; WH078_032; WH078_033; WH078_034; WH078_035; WH078_036; WH078_037; WH078_038; WH078_039; WH078_040; WH078_041; WH078_042; WH078_043; WH078_044; WH078_045; WH078_046; WH078_047; WH078_048; WH078_049; WH078_050; WH078_051; WH078_052; WH078_053; WH078_054; WH078_055; WH078_056; WH078_057; WH078_058; WH078_059; WH078_060
    Type: Dataset
    Format: text/tab-separated-values, 838 data points
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  • 29
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH083; WH083_229; WH083_230; WH083_231; WH083_232; WH083_233; WH083_234; WH083_235; WH083_236; WH083_237; WH083_238; WH083_239; WH083_240; WH083_241; WH083_242; WH083_243; WH083_244; WH083_245; WH083_246; WH083_247; WH083_248; WH083_249; WH083_250; WH083_251; WH083_252; WH083_253; WH083_254; WH083_255; WH083_256; WH083_257; WH083_258; WH083_259; WH083_260; WH083_261; WH083_262; WH083_263; WH083_264; WH083_265; WH083_266; WH083_267; WH083_268; WH083_269; WH083_270; WH083_271; WH083_272; WH083_273; WH083_274; WH083_275; WH083_276; WH083_277; WH083_278; WH083_279; WH083_280; WH083_281; WH083_282; WH083_283; WH083_284; WH083_285; WH083_286; WH083_287; WH083_288; WH083_289; WH083_290; WH083_291; WH083_292; WH083_293; WH083_294; WH083_295; WH083_296; WH083_297; WH083_298; WH083_299; WH083_300
    Type: Dataset
    Format: text/tab-separated-values, 704 data points
    Location Call Number Expected Availability
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  • 30
    Publication Date: 2023-03-14
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH087; WH087_001; WH087_002; WH087_003; WH087_004; WH087_005; WH087_006; WH087_007; WH087_008; WH087_009; WH087_010; WH087_011; WH087_012; WH087_013; WH087_014; WH087_015; WH087_016; WH087_017; WH087_018; WH087_019; WH087_020; WH087_021; WH087_022; WH087_023; WH087_024; WH087_025; WH087_026; WH087_027; WH087_028; WH087_029; WH087_030; WH087_031; WH087_032; WH087_033; WH087_034; WH087_035; WH087_036; WH087_037; WH087_038; WH087_039; WH087_040; WH087_041; WH087_042; WH087_043; WH087_044; WH087_045; WH087_046; WH087_047; WH087_048; WH087_049; WH087_050; WH087_051; WH087_052; WH087_053; WH087_054; WH087_055; WH132
    Type: Dataset
    Format: text/tab-separated-values, 549 data points
    Location Call Number Expected Availability
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  • 31
    Publication Date: 2023-03-14
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Temperature, water; Walther Herwig II; WH094; WH094_001; WH094_002; WH094_003; WH094_004; WH094_005; WH094_006; WH094_007; WH094_008; WH094_009; WH094_010; WH094_011; WH094_012; WH094_013; WH094_014; WH094_015; WH094_016; WH094_017; WH094_018; WH094_019; WH094_020; WH094_021
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
    Location Call Number Expected Availability
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  • 32
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bottle, Niskin; Date/Time of event; DEPTH, water; Determination of nitrite (Morris & Riley); Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML15; ML15_1230-1; ML15_1231-1; ML15_1232-1; ML15_1232-2; ML15_1232a-1; ML15_1233-1; ML15_1233-2; ML15_1233a-1; ML15_1234-1; ML15_1235-1; ML15_1236-1; ML15_1237-1; ML15_1238-1; ML15_1239-1; ML15_1240-1; ML15_1241-1; ML15_1241-2; ML15_1242-1; ML15_1243-1; ML15_1244-1; ML15_1245-1; ML15_1245-10; ML15_1245-2; ML15_1245-3; ML15_1245-4; ML15_1245-5; ML15_1245-6; ML15_1245-7; ML15_1245-8; ML15_1245-9; ML15_1246-1; ML15_1247-1; ML15_1248-1; ML15_1249-1; ML15_1250-1; ML15_1251-1; ML15_1252-1; ML15_1253-1; ML15_1254-1; ML15_1255-1; ML15_1256-1; ML15_1257-1; ML15_1258-1; ML15_1259-1; ML15_1260-1; ML15_1261-1; ML15_1262-1; ML15_1263-1; ML15_1264-1; ML15_1265-1; ML15_1266-1; ML15_1267-1; ML15_1268-1; ML15_1269-1; ML15_1270-1; ML15_1271-1; ML15_1272-1; ML15_1273-1; ML15_1274-1; ML15_1275-1; ML15_1276-1; ML15_1277-1; ML15_1278-1; ML15_1279-1; ML15_1280-1; ML15_1282-1; ML15_1283-1; ML15_1284-1; ML15_1285-1; ML15_1286-1; ML15_1287-1; ML15_1288-1; NIS; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 8381 data points
    Location Call Number Expected Availability
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  • 33
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Alkalinity, volumetric (Bruevich, 1944, in Glavsevmorput, Instruction of chem.); Arabian Sea; CTD, ISTOK-3; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Gulf of Aden; Gulf of Oman; Lakshadweep Sea; Latitude of event; Longitude of event; Mikhail Lomonosov; ML19; ML19_1481-1; ML19_1482-1; ML19_1483-1; ML19_1484-1; ML19_1485-1; ML19_1486-1; ML19_1487-1; ML19_1488-1; ML19_1489-1; ML19_1490-1; ML19_1491-1; ML19_1492-1; ML19_1493-1; ML19_1494-1; ML19_1495-1; ML19_1496-1; ML19_1497-1; ML19_1498-1; ML19_1499-1; ML19_1500-1; ML19_1501-1; ML19_1502-1; ML19_1503-1; ML19_1504-1; ML19_1505-1; ML19_1506-1; ML19_1507-1; ML19_1508-1; ML19_1509-1; ML19_1510-1; ML19_1511-1; ML19_1512-1; ML19_1513-1; ML19_1514-1; ML19_1515-1; ML19_1516-1; ML19_1517-1; ML19_1518-1; ML19_1519-1; ML19_1520-1; ML19_1521-1; ML19_1522-1; ML19_1523-1; ML19_1524-1; ML19_1525-1; ML19_1526-1; ML19_1527-1; ML19_1528-1; ML19_1530-1; ML19_1531-1; ML19_1532-1; ML19_1533-1; ML19_1534-1; ML19_1535-1; ML19_1536-1; ML19_1537-1; ML19_1538-1; ML19_1539-1; ML19_1540-1; ML19_1541-1; ML19_1542-1; ML19_1543-1; ML19_1544-1; ML19_1545-1; ML19_1546-1; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Salinity; Temperature, water; Visual comparison with the Serensen scale
    Type: Dataset
    Format: text/tab-separated-values, 3720 data points
    Location Call Number Expected Availability
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  • 34
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Bottle, Niskin; Canarias Sea; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML24; ML24_1855-1; ML24_1857-1; ML24_1859-1; ML24_1861-1; ML24_1863-1; ML24_1868-1; ML24_1870-1; ML24_1872-1; ML24_1874-1; ML24_1878-1; ML24_1879-1; ML24_1881-1; ML24_1884-1; ML24_1886-1; ML24_1887-1; ML24_1889-1; ML24_1893-1; ML24_1895-1; ML24_1896-1; ML24_1897-1; ML24_1897-2; ML24_1898-1; NIS; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1437 data points
    Location Call Number Expected Availability
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  • 35
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    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD; CTD/Rosette; CTD-RO; CTD with attached oxygen sensor; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Oxygen saturation; pH; Phosphate; PK31; PK31_5644; PK31_5645; PK31_5646; PK31_5647; PK31_5648-4; PK31_5649; PK31_5650; PK31_5651; PK31_5653; PK31_5654; PK31_5655; PK31_5656; PK31_5656-2; PK31_5657; PK31_5658; PK31_5659; PK31_5660; PK31_5661; PK31_5662; PK31_5663; PK31_5664; PK31_5664-2; PK31_5665; PK31_5665-2; PK31_5666; PK31_5667; PK31_5668; PK31_5669; PK31_5670; PK31_5670-3; PK31_5671; PK31_5672; PK31_5673; PK31_5674; PK31_5795; PK31_5796; PK31_5797; PK31_5798; PK31_5799; PK31_5800; PK31_5801; PK31_5802; PK31_5803; PK31_5804; PK31_5805; PK31_5806; PK31_5807; PK31_5808; PK31_5809; PK31_5810; PK31_5811; PK31_5813; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 21373 data points
    Location Call Number Expected Availability
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  • 36
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    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD, ISTOK-5; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK29; PK29_5287-3; PK29_5288-3; PK29_5289-3; PK29_5290-3; PK29_5291-3; PK29_5292-3; PK29_5293-3; PK29_5294-3; PK29_5295-3; PK29_5296-3; PK29_5297-3; PK29_5298-3; PK29_5299-3; PK29_5300-3; PK29_5301-3; PK29_5302-3; PK29_5303-3; PK29_5304-3; PK29_5305-3; PK29_5306-3; PK29_5307-3; PK29_5308-3; PK29_5309-3; PK29_5311-3; PK29_5312-3; PK29_5313-3; PK29_5315-3; PK29_5316-3; PK29_5317-3; PK29_5319-3; PK29_5320-3; PK29_5322-3; PK29_5323-3; PK29_5324-3; PK29_5325-3; PK29_5326-3; PK29_5327-3; PK29_5328-3; PK29_5329-3; PK29_5330-3; PK29_5331-3; PK29_5332-3; PK29_5333-3; PK29_5334-3; PK29_5335-3; PK29_5336-3; PK29_5337-3; PK29_5338-3; PK29_5339-3; PK29_5340-3; PK29_5341-3; PK29_5342-3; PK29_5343-3; PK29_5344-3; PK29_5345-3; PK29_5346-3; PK29_5347-3; PK29_5348-3; PK29_5349-3; PK29_5350-3; PK29_5351-3; PK29_5352-3; PK29_5353-3; PK29_5354-3; PK29_5355-3; PK29_5356-3; PK29_5357-3; PK29_5358-3; PK29_5359-3; PK29_5360-3; PK29_5361-3; PK29_5362-3; PK29_5363-3; PK29_5364-3; PK29_5365-3; PK29_5366-3; PK29_5367-3; PK29_5368-3; PK29_5369-3; PK29_5370-3; PK29_5371-3; PK29_5372-3; PK29_5373-3; PK29_5374-3; PK29_5375-3; PK29_5376-3; PK29_5377-3; PK29_5378-3; PK29_5379-3; PK29_5380-3; PK29_5381-3; PK29_5382-3; PK29_5383-3; PK29_5384-3; PK29_5385-3; PK29_5386-3; PK29_5387-3; PK29_5388-3; PK29_5389-3; PK29_5390-3; PK29_5391-3; PK29_5392-3; PK29_5393-3; PK29_5394-3; PK29_5395-3; PK29_5396-3; PK29_5397-3; PK29_5398-3; PK29_5399-3; PK29_5400-3; PK29_5401-3; PK29_5402-3; PK29_5403-3; PK29_5404-3; PK29_5405-3; PK29_5406-3; PK29_5407-3; PK29_5408-3; PK29_5409-3; PK29_5410-3; PK29_5411-3; PK29_5412-3; PK29_5413-3; PK29_5414-3; PK29_5415-3; PK29_5416-3; PK29_5417-3; PK29_5418-3; PK29_5419-3; PK29_5420-3; PK29_5421-3; PK29_5422-3; PK29_5423-3; PK29_5424-3; PK29_5425-3; PK29_5426-3; PK29_5427-3; PK29_5428-3; PK29_5429-3; PK29_5430-3; PK29_5431-3; PK29_5432-3; PK29_5433-3; PK29_5434-3; PK29_5435-3; PK29_5436-3; PK29_5438-3; PK29_5439-3; PK29_5440-3; PK29_5441-3; PK29_5442-3; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 10613 data points
    Location Call Number Expected Availability
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  • 37
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bottle, Niskin; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of nitrite (Griess-Ilosvay); Determination of phosphate (Murphy & Riley, 1962); Determination of silicate (Murphy & Riley, 1962); Elevation of event; Event label; Latitude of event; Longitude of event; Mediterranean Sea, Western Basin; Mikhail Lomonosov; ML30; ML30_2295-1; ML30_2295-2; ML30_2295-3; ML30_2295-4; ML30_2296-1; ML30_2296-2; ML30_2299-1; ML30_2299-2; ML30_2329-2; ML30_2330-1; ML30_2332-1; ML30_2333-2; ML30_2334-1; ML30_2335-1; ML30_2336-1a; ML30_2336-2a; ML30_2336-3a; ML30_2336-4; ML30_2336-5; ML30_2337-1; ML30_2338-1; ML30_2339-2; ML30_2342-1; ML30_2344-1; ML30_2346-1; ML30_2348-1; ML30_2350-1; ML30_2352-1; ML30_2354-1; ML30_2356-1; ML30_2358-1; ML30_2360-2; ML30_2360-5; ML30_2362-1; ML30_2364-1; ML30_2366-1; ML30_2367-1; ML30_2368-1; ML30_2369-2; ML30_2369-3; ML30_2369-5; ML30_2369-9; ML30_2371-1; ML30_2373-1; ML30_2374-1; ML30_2378-1; ML30_2379-1; ML30_2380-1a; ML30_2381-1; ML30_2382-1; ML30_2384-1; ML30_2386-1; ML30_2388-2; ML30_2390-1; ML30_2392-1; ML30_2394-6; ML30_2411-1; ML30_2411-2; ML30_2412-1; NIS; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; pH, combination; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5368 data points
    Location Call Number Expected Availability
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  • 38
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    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; PK32; PK32_5845-3; PK32_5845-5; PK32_5845-9; PK32_5847; PK32_5847-3; PK32_5847-5; PK32_5849; PK32_5849-3; PK32_5849-5; PK32_5850; PK32_5850-3; PK32_5850-5; PK32_5851; PK32_5852; PK32_5854; PK32_5855; PK32_5857-3; PK32_5859; PK32_5859-3; PK32_5860; PK32_5860-7; PK32_5861; PK32_5861-11; PK32_5861-5; PK32_5868; PK32_5869; PK32_5870; PK32_5871; PK32_5871-3; PK32_5871-5; PK32_5873; PK32_5873-3; PK32_5873-5; PK32_5875; PK32_5875-3; PK32_5875-5; PK32_5877; PK32_5877-3; PK32_5877-5; PK32_5878; PK32_5879; PK32_5879-3; PK32_5879-5; PK32_5880; PK32_5880-3; PK32_5880-5; PK32_5881; PK32_5895-5; PK32_5898; PK32_5898-3; PK32_5900; PK32_5902; PK32_5903; PK32_5904; PK32_5906; PK32_5908; PK32_5910; PK32_5916; PK32_5918; PK32_5920; PK32_5922; PK32_5923; PK32_5924; PK32_5926; PK32_5929; PK32_5930; PK32_5933; PK32_5935; PK32_5937; PK32_5939; PK32_5940; PK32_5942; PK32_5944; PK32_5946; PK32_5949; PK32_5952-3; PK32_5952-5; PK32_5952-7; PK32_5952-9; PK32_7009; Professor Kolesnikov; Salinity; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 6981 data points
    Location Call Number Expected Availability
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  • 39
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    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; AV9; AV9_845-1; AV9_846-1; AV9_847-1; AV9_848-1; AV9_849-1; AV9_850-1; AV9_851-1; AV9_852-1; AV9_853-1; AV9_854-1; AV9_855-2; AV9_856-2; AV9_856-3; AV9_857-2; AV9_858-1; AV9_859-1; AV9_860-1; AV9_861-1; Bottle, Niskin; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of phosphate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; NIS; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1716 data points
    Location Call Number Expected Availability
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  • 40
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    Unknown
    PANGAEA
    In:  Marine Hydrophysical Institute, National Academy of Sciences of Ukraine
    Publication Date: 2023-03-14
    Keywords: Black Sea; CTD, ISTOK-7; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; GID25; GID25_1; GID25_100; GID25_102; GID25_103; GID25_104; GID25_105; GID25_106; GID25_107; GID25_108; GID25_109; GID25_11; GID25_110; GID25_111; GID25_112; GID25_113; GID25_114; GID25_115; GID25_116; GID25_117-2; GID25_118; GID25_119; GID25_120; GID25_121; GID25_122; GID25_123; GID25_124; GID25_125; GID25_126; GID25_127; GID25_128; GID25_129; GID25_13; GID25_130; GID25_131; GID25_132; GID25_133; GID25_134-2; GID25_135-2; GID25_136; GID25_137; GID25_15; GID25_15-2; GID25_17; GID25_18; GID25_19; GID25_22; GID25_26; GID25_27; GID25_28; GID25_3; GID25_30; GID25_32; GID25_33; GID25_33-2; GID25_34; GID25_35; GID25_36; GID25_37; GID25_37-3; GID25_38; GID25_39; GID25_40; GID25_44; GID25_44-2; GID25_48; GID25_49; GID25_5; GID25_50; GID25_51; GID25_52; GID25_53; GID25_56; GID25_6; GID25_60; GID25_62; GID25_64; GID25_65; GID25_66; GID25_67; GID25_67-2; GID25_67-3; GID25_69; GID25_7; GID25_71; GID25_71-2; GID25_73; GID25_74; GID25_75; GID25_76; GID25_77; GID25_78; GID25_79; GID25_80; GID25_81; GID25_82; GID25_83; GID25_84; GID25_85; GID25_86; GID25_87; GID25_89; GID25_9; GID25_93; GID25_96; GID25_97; GID25_98; GID25_99; Gidrooptik; Latitude of event; Longitude of event; Nitrate; Nitrate and Nitrite; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 5822 data points
    Location Call Number Expected Availability
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  • 41
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Akademik Vernadsky; Arabian Sea; AV22; AV22_2549-2; AV22_2551-2; AV22_2554-2; AV22_2557-2; AV22_2560-2; AV22_2563-2; AV22_2568-2; AV22_2571-2; AV22_2574-2; AV22_2577-2; AV22_2579-2; AV22_2582-2; AV22_2585-2; AV22_2588-2; AV22_2593-2; AV22_2596-2; AV22_2599-2; AV22_2602-2; AV22_2605-2; AV22_2608-2; AV22_2611-2; AV22_2614-2; AV22_2617-2; AV22_2620-2; AV22_2623-2; AV22_2626-2; AV22_2629-2; AV22_2632-2; AV22_2634-2; AV22_2635-2; AV22_2637-2; AV22_2640-2; AV22_2643-2; AV22_2646-2; AV22_2649-2; AV22_2652-2; AV22_2655-2; AV22_2658-2; AV22_2661-2; AV22_2664-2; AV22_2666-2; AV22_2680-2; AV22_2681-2; AV22_2682-2; AV22_2683-2; AV22_2684-2; AV22_2685-2; AV22_2686-2; AV22_2687-2; AV22_2688-2; AV22_2689-2; AV22_2690-2; AV22_2691-2; AV22_2692-2; AV22_2693-2; AV22_2694-2; AV22_2695-2; AV22_2696-2; AV22_2697-2; AV22_2698-2; AV22_2699-2; AV22_2700-2; AV22_2701-2; AV22_2702-2; AV22_2703-2; AV22_2704-2; AV22_2705-2; AV22_2706-2; AV22_2707-2; AV22_2708-2; AV22_2709-2; AV22_2710-2; AV22_2711-2; AV22_2712-2; AV22_2713-2; AV22_2714-2; AV22_2729-2; AV22_2730-2; AV22_2731-2; AV22_2732-2; AV22_2733-2; AV22_2734-2; AV22_2735-2; AV22_2736-2; AV22_2737-2; AV22_2738-2; AV22_2739-2; AV22_2740-2; AV22_2741-2; AV22_2742-2; AV22_2743-2; AV22_2744-2; AV22_2745-2; AV22_2746-2; AV22_2747-2; AV22_2748-2; AV22_2749-2; AV22_2750-2; AV22_2751-2; AV22_2752-2; AV22_2753-2; AV22_2754-2; AV22_2755-2; AV22_2756-2; AV22_2757-2; AV22_2758-2; AV22_2759-2; AV22_2760-2; AV22_2762-2; AV22_2763-2; AV22_2764-2; AV22_2765-2; AV22_2773; AV22_2776-2; AV22_2779-2; AV22_2780-2; AV22_2783; AV22_2786-2; AV22_2791-2; AV22_2794-2; AV22_2797-2; AV22_2798; AV22_2801-2; AV22_2804-2; AV22_2809-2; AV22_2812-2; AV22_2822-2; AV22_2823-2; AV22_2824-2; AV22_2825-2; AV22_2826-2; AV22_2827-2; AV22_2828-2; AV22_2829-2; AV22_2830-2; AV22_2832-2; AV22_2833-2; AV22_2834-2; AV22_2835-2; AV22_2836-2; AV22_2837-2; AV22_2838-2; AV22_2839-2; AV22_2840-2; CTD, ISTOK-3; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Determination of nitrite (Griess-Ilosvay); Determination of phosphate (Murphy & Riley, 1962); Determination of silicate (Murphy & Riley, 1962); Elevation of event; Event label; Indian Ocean; Latitude of event; Longitude of event; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; pH, combination; Phosphate; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11422 data points
    Location Call Number Expected Availability
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  • 42
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Bottle, Niskin; Date/Time of event; DEPTH, water; Determination of nitrate (Morris & Riley, 1963); Determination of nitrite (Morris & Riley); Determination of phosphate (Denigès & Atkins); Determination of silicate (Denigès & Atkins); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML14; ML14_1130-1; ML14_1131-1; ML14_1132-1; ML14_1133-1; ML14_1134-1; ML14_1135-1; ML14_1136-1; ML14_1137-1; ML14_1138-1; ML14_1139-1; ML14_1140-1; ML14_1141-1; ML14_1142-1; ML14_1143-1; ML14_1144-1; ML14_1145-1; ML14_1146-1; ML14_1147-1; ML14_1148-1; ML14_1149-1; ML14_1150-1; ML14_1150-2; ML14_1151-1; ML14_1152-1; ML14_1153-1; ML14_1154-1; ML14_1155-1; ML14_1156-1; ML14_1157-1; ML14_1158-1; ML14_1159-1; ML14_1160-1; ML14_1161-1; ML14_1162-1; ML14_1163-1; ML14_1164-1; ML14_1165-1; ML14_1166-1; ML14_1167-1; ML14_1168-1; ML14_1169-1; ML14_1170-1; ML14_1171-1; ML14_1172-1; ML14_1173-1; ML14_1174-1; ML14_1175-1; ML14_1176-1; ML14_1177-1; ML14_1178-1; ML14_1179-1; ML14_1180-1; ML14_1181-1; ML14_1182-1; ML14_1183-1; ML14_1184-1; ML14_1184-3; ML14_1184-4; ML14_1184-5; ML14_1184-6; ML14_1184-7; ML14_1185-1; ML14_1186-1; ML14_1187-1; ML14_1187-2; ML14_1187-3; ML14_1187-4; ML14_1187-5; ML14_1187-6; ML14_1187-7; ML14_1188-1; ML14_1190-1; ML14_1191-1; ML14_1191-2; ML14_1191-3; ML14_1191-4; ML14_1191-5; ML14_1191-6; ML14_1191-7; ML14_1192-1; ML14_1193-1; ML14_1194-1; ML14_1195-1; ML14_1196-1; ML14_1196-2; ML14_1197-1; ML14_1197-2; ML14_1197-3; ML14_1197-4; ML14_1197-5; ML14_1197-6; ML14_1197-7; ML14_1198-1; ML14_1199-1; ML14_1200-1; ML14_1201-1; ML14_1201-2; ML14_1201-3; ML14_1201-4; ML14_1201-5; ML14_1201-6; ML14_1201-7; ML14_1202-1; ML14_1203-1; ML14_1204-1; ML14_1205-1; ML14_1206-1; ML14_1206-2; ML14_1206-3; ML14_1206-4; ML14_1206-5; ML14_1206-6; ML14_1206-7; ML14_1207-1; ML14_1208-1; ML14_1208-2; ML14_1209-1; ML14_1210-1; ML14_1210-2; ML14_1210-3; ML14_1210-4; ML14_1210-5; ML14_1210-6; ML14_1210-7; ML14_1211-1; ML14_1212-1; ML14_1213-1; ML14_1214-1; ML14_1215-1; NIS; Nitrate; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 11676 data points
    Location Call Number Expected Availability
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  • 43
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    Unknown
    PANGAEA
    In:  Institute of Biology of the Southern Seas, National Academy of Sciences of Ukraine, Sevastopol
    Publication Date: 2023-03-14
    Keywords: Bottle, Niskin; Canarias Sea; Date/Time of event; DEPTH, water; Determination of nitrite (Morris & Riley); Determination of phosphate (Murphy & Riley, 1962); Determination of silicate (Murphy & Riley, 1962); Elevation of event; Event label; Latitude of event; Longitude of event; Mikhail Lomonosov; ML13; ML13_1075-1; ML13_1076-1; ML13_1077-1; ML13_1078-1; ML13_1079-1; ML13_1080-1; ML13_1081-1; ML13_1082-1; ML13_1083-1; ML13_1084-1; ML13_1085-1; ML13_1086-1; ML13_1087-1; ML13_1088-1; ML13_1089-1; ML13_1090-1; ML13_1091-1; ML13_1092-1; ML13_1093-1; ML13_1094-1; ML13_1095-1; ML13_1097-1; ML13_1098-1; ML13_1099-1; ML13_1100-1; ML13_1101-1; ML13_1101-10; ML13_1101-11; ML13_1101-12; ML13_1101-13; ML13_1101-14; ML13_1101-15; ML13_1101-16; ML13_1101-17; ML13_1101-18; ML13_1101-19; ML13_1101-2; ML13_1101-20; ML13_1101-21; ML13_1101-22; ML13_1101-23; ML13_1101-24; ML13_1101-25; ML13_1101-26; ML13_1101-27; ML13_1101-28; ML13_1101-29; ML13_1101-3; ML13_1101-30; ML13_1101-31; ML13_1101-32; ML13_1101-33; ML13_1101-34; ML13_1101-35; ML13_1101-36; ML13_1101-37; ML13_1101-38; ML13_1101-39; ML13_1101-4; ML13_1101-40; ML13_1101-41; ML13_1101-42; ML13_1101-43; ML13_1101-44; ML13_1101-45; ML13_1101-46; ML13_1101-47; ML13_1101-48; ML13_1101-49; ML13_1101-5; ML13_1101-50; ML13_1101-51; ML13_1101-52; ML13_1101-6; ML13_1101-7; ML13_1101-8; ML13_1101-9; ML13_1102-1; ML13_1103-1; ML13_1104-1; ML13_1105-1; ML13_1106-1; ML13_1106-2; ML13_1107-1; ML13_1108-1; ML13_1109-1; ML13_1109-2; ML13_1110-1; ML13_1111-1; ML13_1112-1; ML13_1113-1; ML13_1113-10; ML13_1113-2; ML13_1113-3; ML13_1113-4; ML13_1113-5; ML13_1113-6; ML13_1113-7; ML13_1113-8; ML13_1113-9; ML13_1114-1; ML13_1115-1; ML13_1115-2; ML13_1116-1; ML13_1116-2; ML13_1117-1; ML13_1118-1; NIS; Nitrite; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Reversing thermometer; Salinity; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 13528 data points
    Location Call Number Expected Availability
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  • 44
    Publication Date: 2023-03-14
    Keywords: Baltic Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH086; WH086_301; WH086_302; WH086_303; WH086_304; WH086_305; WH086_306; WH086_307; WH086_308; WH086_309; WH086_310; WH086_311; WH086_312; WH086_313; WH086_314; WH086_315; WH086_316; WH086_317; WH086_318; WH086_319; WH086_320; WH086_321; WH086_322; WH086_323; WH086_324; WH086_325; WH086_326; WH086_327; WH086_328; WH086_329; WH086_330; WH086_331; WH086_332; WH086_333; WH086_334; WH086_335; WH086_336; WH086_337; WH086_338; WH086_339; WH086_340; WH086_341; WH086_342; WH086_343; WH086_344; WH086_345; WH086_346; WH086_347; WH086_348; WH086_349; WH086_350; WH086_351; WH086_352; WH086_353; WH086_354; WH086_355; WH086_356; WH086_357; WH086_358; WH086_359; WH086_360; WH086_361
    Type: Dataset
    Format: text/tab-separated-values, 784 data points
    Location Call Number Expected Availability
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  • 45
    Publication Date: 2023-03-14
    Keywords: CO2BaseSleipner; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; North Sea; Oxygen; pH; Pressure, water; Salinity; Temperature, water; Walther Herwig II; WH090; WH090_151; WH090_152; WH090_153; WH090_154; WH090_155; WH090_156; WH090_157; WH090_158; WH090_159; WH090_160; WH090_161; WH090_162; WH090_163; WH090_164; WH090_165; WH090_166; WH090_167; WH090_168; WH090_169; WH090_170; WH090_171; WH090_172; WH090_173; WH090_174
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
    Location Call Number Expected Availability
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  • 46
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Brandal; Calculated from conductivity; Conductivity; Conductivity/temperature logger µS-Log540, Driesen + Kern GmbH; DATE/TIME; DEPTH, water; Kongsfjorden, Spitsbergen, Arctic; MULT; Multiple investigations; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 152470 data points
    Location Call Number Expected Availability
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  • 47
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: The software Multibeam Converter is a tool to convert files or folders of files (ascii/tab-separated data files with or without metaheader), downloaded from PANGAEA via the search engine or the data warehouse to the ODV import format, e.g. for visualization or further processing. MultibeamConverter is distributed as freeware for the operating systems Microsoft Windows, Apple OS X and Linux.
    Keywords: File content; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Expected Availability
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  • 48
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven | Supplement to: Bongiorni, L; Mea, Marianna; Gambi, Christina; Pusceddu, Antonio; Taviani, Marco; Danovaro, Roberto (2010): Deep-water scleractinian corals promote higher biodiversity in deep-sea meiofaunal assemblages along continental margins. Biological Conservation, 143(7), 1687-1700, https://doi.org/10.1016/j.biocon.2010.04.009
    Publication Date: 2023-03-16
    Description: Deep-water coral ecosystems are hot spots of biodiversity and provide habitats and refuges for several deep-sea species. However, their role in shaping the biodiversity of the surrounding open slopes is still poorly known. We investigated how meiofaunal biodiversity varies with and is related to the occurrence of deep-water living scleractinian corals and coral rubble in two deep-sea areas (the Rockall Bank, northeastern Atlantic) and the Santa Maria di Leuca (central Mediterranean). In both areas, replicated sampling on alive and dead coral areas and from the adjacent slope sediments without corals (at the same and increasing depths) allowed us to demonstrate that sediments surrounding the living corals and coral rubble were characterised by higher meiofaunal biodiversity (as number of higher taxa, and nematode species richness) than the slope sediments. Despite the soft sediments surrounding the living coral having a higher nutritional value than those not associated with corals, with the opposite seen for coral rubble, the presence of both alive and dead corals had a significant effect on nematode assemblages. Our data suggest that, due particularly to the effects on habitat heterogeneity/complexity, both living coral and coral rubble promoted higher biodiversity levels than in surrounding slope sediments. We conclude that the protection of deep-water corals can be crucial to preserve the biodiversity of surrounding open slopes, and that the protection of dead corals, a so-far almost neglected habitat in terms of biological conservation, can further contribute to the maintenance of a high deep-sea biodiversity along continental margins.
    Keywords: BC; Box corer; Copepoda, standard deviation; Copepoda indeterminata; CORS_CR19; CORS_CR33; CORS_CR77; CORSARO; DEPTH, sediment/rock; Event label; Fano-Corfù; Grab; GRAB; HERMIONE; Hotspot Ecosystem Research and Mans Impact On European Seas; Meiofauna, abundance; Meiofauna, abundance, standard deviation; Meiofauna, biomass as carbon; Meiofauna, biomass as carbon, standard deviation; Nematoda; Nematoda, standard deviation; Nematoda, trophic diversity; off Gallipoli; Species richness; Taxa analyzed; Urania
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
    Location Call Number Expected Availability
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  • 49
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Type: Dataset
    Format: video/quicktime, 1.5 GBytes
    Location Call Number Expected Availability
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  • 50
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: PanDOI works as Windows Desktop Gadget on Windows Vista and higher or as a Widget for OS X Dashboard. It resolves persistent identifiers like Digital Object Identifier (DOI), Handel (hdl), Uniform Resource Name (URN), and sRef IDs. It is possible to open a PANGAEA dataset by its ID, to show the latest PANGAEA datasets, and to search through PANGAEA. See further details for the manual of PanDOI.
    Keywords: File content; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
    Location Call Number Expected Availability
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  • 51
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Description: Microzooplankton (the 20 to 200 µm size class of zooplankton) is recognised as an important part of marine pelagic ecosystems. In terms of biomass and abundance pelagic ciliates are one of the important groups of organism in microzooplankton. However, their rates - grazing and growth - , feeding behaviour and prey preferences are poorly known and understood. A set of data was assembled in order to derive a better understanding of pelagic ciliates rates, in response to parameters such as prey concentration, prey type (size and species), temperature and their own size. With these objectives, literature was searched for laboratory experiments with information on one or more of these parameters effect studied. The criteria for selection and inclusion in the database included: (i) controlled laboratory experiment with a known ciliates feeding on a known prey; (ii) presence of ancillary information about experimental conditions, used organisms - cell volume, cell dimensions, and carbon content. Rates and ancillary information were measured in units that meet the experimenter need, creating a need to harmonize the data units after collection. In addition different units can link to different mechanisms (carbon to nutritive quality of the prey, volume to size limits). As a result, grazing rates are thus available as pg C/(ciliate*h), µm**3/(ciliate*h) and prey cell/(ciliate*h); clearance rate was calculated if not given and growth rate is expressed as the growth rate per day.
    Keywords: EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis
    Type: Dataset
    Format: application/zip, 1.4 MBytes
    Location Call Number Expected Availability
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  • 52
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2023-03-16
    Keywords: AWI_Meteo; AWIPEV; AWIPEV_based; DATE/TIME; Height of tropopause; Koldewey; LiDAR (Light Detection And Ranging); Meteorological Long-Term Observations @ AWI; Number of observations; Research station; RS; Spitsbergen, Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 1704 data points
    Location Call Number Expected Availability
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  • 53
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2023-03-16
    Keywords: ALTITUDE; AWI_Meteo; AWIPEV; AWIPEV_based; Beta total/Beta rayleigh ratio at 353 nm; Beta total/Beta rayleigh ratio at 353 nm, standard deviation; Beta total/Beta rayleigh ratio at 532 nm; Beta total/Beta rayleigh ratio at 532 nm, standard deviation; DATE/TIME; Depolarization ratio at 532 nm; Depolarization ratio at 532 nm, standard deviation; Koldewey; LiDAR (Light Detection And Ranging); Meteorological Long-Term Observations @ AWI; Neodymium-doped yttrium aluminium garnet laser (Nd:YAG); Pressure, at given altitude; Research station; RS; Spitsbergen, Svalbard; Temperature, air; XeCl Excimer Laser
    Type: Dataset
    Format: text/tab-separated-values, 233224 data points
    Location Call Number Expected Availability
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  • 54
    facet.materialart.
    Unknown
    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
    Location Call Number Expected Availability
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  • 55
    facet.materialart.
    Unknown
    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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  • 56
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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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  • 57
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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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  • 58
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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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  • 59
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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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  • 60
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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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  • 61
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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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  • 62
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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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  • 63
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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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  • 64
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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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  • 65
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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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  • 66
    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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  • 67
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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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  • 68
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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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  • 69
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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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  • 70
    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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  • 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; 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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  • 72
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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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  • 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; 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
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  • 74
    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
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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; 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
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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; 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
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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; 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
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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; 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
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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; 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
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  • 80
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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; 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
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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; 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
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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; 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
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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; 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
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  • 84
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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; 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
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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; 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
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  • 86
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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; 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
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  • 87
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503101414; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 213896 data points
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  • 88
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503101436; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 231554 data points
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  • 89
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503101458; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 230304 data points
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  • 90
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111155; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 187882 data points
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  • 91
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111120; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 48212 data points
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  • 92
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503101521; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 232092 data points
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  • 93
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111135; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 213850 data points
    Location Call Number Expected Availability
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  • 94
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503101544; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 84840 data points
    Location Call Number Expected Availability
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  • 95
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111214; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 225566 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: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111304; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 244672 data points
    Location Call Number Expected Availability
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  • 97
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111236; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 303008 data points
    Location Call Number Expected Availability
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  • 98
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503130748; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 171532 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: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503130729; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 181140 data points
    Location Call Number Expected Availability
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  • 100
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: 3100HS; Aircraft; AWI_SeaIce; DATE/TIME; Determined by helicopter-borne laser distance measurement; Freeboard; Gulf of Bothnia; Ice Ridging Information for Decision Making in Shipping Operations; Identification; IRIS; IRIS2005; IRIS2005_200503111328; Laser distance meter, 3100HS, Riegl; LATITUDE; LONGITUDE; POINT DISTANCE from start; Sea Ice Physics @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 261318 data points
    Location Call Number Expected Availability
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