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  • Springer Nature  (40,053)
  • PANGAEA  (13,341)
  • 2010-2014  (53,394)
  • 1980-1984
  • 1925-1929
  • 2013  (32,236)
  • 2011  (21,158)
Collection
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  • 2010-2014  (53,394)
  • 1980-1984
  • 1925-1929
Year
  • 1
    Publication Date: 2022-11-29
    Description: Living microorganisms inhabit every environment of the biosphere but only in the last decades their importance governing biochemical cycles in deep sediments has been widely recognized. Most investigations have been accomplished in the marine realm whereas there is a clear paucity of comparable studies in lacustrine sediments. One of the main challenges is to define geomicrobiological proxies that can be used to identify different microbial signals in the sediments. Laguna Potrok Aike, a maar lake located in Southeastern Patagonia, has an annually not stratifying cold water column with temperatures ranging between 4 and 10 °C, and most probably an anoxic water/sediment interface. These unusual features make it a peculiar and interesting site for geomicrobiological studies. Living microbial activity within the sediments was inspected by the first time in a sedimentary core retrieved during an ICDP-sponsored drilling operation. The main goals to study this cold subsaline environment were to characterize the living microbial consortium; to detect early diagenetic signals triggered by active microbes; and to investigate plausible links between climate and microbial populations. Results from a meter long gravity core suggest that microbial activity in lacustrine sediments can be sustained deeper than previously thought due to their adaptation to both changing temperature and oxygen availability. A multi-proxy study of the same core allowed defining past water column conditions and further microbial reworking of the organic fraction within the sediments. Methane content shows a gradual increase with depth as a result of the fermentation of methylated substrates, first methanogenic pathway to take place in the shallow subsurface of freshwater and subsaline environments. Statistical analyses of DGGE microbial diversity profiles indicate four clusters for Bacteria reflecting layered communities linked to the oxidant type whereas three clusters characterize Archaea communities that can be linked to both denitrifiers and methanogens. Independent sedimentary and biological proxies suggest that organic matter production and/or preservation have been lower during the Medieval Climate Anomaly (MCA) coinciding with a low microbial colonization of the sediments. Conversely, a reversed trend with higher organic matter content and substantial microbial activity characterizes the sediments deposited during the Little Ice Age (LIA). Thus, the initial sediments deposited during distinctive time intervals under contrasting environmental conditions have to be taken into account to understand their impact on the development of microbial communities throughout the sediments and their further imprint on early diagenetic signals.
    Type: info:eu-repo/semantics/workingPaper
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  • 2
    Publication Date: 2022-11-29
    Description: Authigenic minerals can form in the water column and sediments of lakes, either abiotically or mediated by biological activity. Such minerals have been used as paleosalinity and paleoproductivity indicators and reflect trophic state and early diagenetic conditions. They are also considered potential indicators of past and perhaps ongoing microbial activity within sediments. Authigenic concretions, including vivianite, were described in late glacial sediments of Laguna Potrok Aike, a maar lake in southernmost Argentina. Occurrence of iron phosphate implies specific phosphorus sorption behavior and a reducing environment, with methane present. Because organic matter content in these sediments was generally low during glacial times, there must have been alternative sources of phosphorus and biogenic methane. Identifying these sources can help define past trophic state of the lake and diagenetic processes in the sediments. We used scanning electron microscopy, phosphorus speciation in bulk sediment, pore water analyses, in situ ATP measurements, microbial cell counts, and measurements of methane content and its carbon isotope composition (d13C CH4) to identify components of and processes in the sediment. The multiple approaches indicated that volcanic materials in the catchment are important suppliers of iron, sulfur and phosphorus. These elements influence primary productivity and play a role in microbial metabolism during early diagenesis. Authigenic processes led to the formation of pyrite framboids and revealed sulfate reduction. Anaerobic oxidation of methane and shifts in pore water ion concentration indicated microbial influence with depth. This study documents the presence of active microbes within the sediments and their relationship to changing environmental conditions. It also illustrates the substantial role played by microbes in the formation of Laguna Potrok Aike concretions. Thus, authigenic minerals can be used as biosignatures in these late Pleistocene maar sediments.
    Type: info:eu-repo/semantics/workingPaper
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  • 3
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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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  • 4
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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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  • 5
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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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  • 6
    Publication Date: 2023-03-16
    Description: Various physical properties of snow and sea ice were measured during ice stations in the Western Weddell Sea, Antarctic, during the POLARSTERN cruise ANT-XXIII/7 (WWOS) in 2006. Most stations were reached via a gangway directly from the vessels others by helicopter. All vertical positions are corrected to freeboard, e.g. z=0 represents the snow-ice interface. More detailed information about the data sets and methods are available from the cruise report (section 4 sea-ice physics).
    Keywords: ANT-XXIII/7; ANT-XXIII/7_597-HELI; ANT-XXIII/7_598-HELI; Atlantic Ocean; HELI; Helicopter; ICE; Ice station; Polarstern; PS69/542-2; PS69/543-1; PS69/545-2; PS69/549-2; PS69/551-2; PS69/551-3; PS69/554-2; PS69/556-1; PS69/558-1; PS69/561-2; PS69/564-1; PS69/565-1; PS69/567-4; PS69/568-1; PS69/568-4; PS69/571-1; PS69/573-1; PS69/575-1; PS69/577-1; PS69/578-1; PS69/579-1; PS69/580-1; PS69/584-1; PS69/585-1; PS69/586-1; PS69 WWOS; Scotia Sea, southwest Atlantic; Weddell Sea; WS-1; WS-10; WS-11; WS-12; WS-13; WS-17; WS-18; WS-19; WS-2; WS-21; WS-22; WS-4; WS-5; WS-6; WS-7; WS-8
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 7
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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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  • 8
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    PANGAEA
    In:  Supplement to: Möller, Lars; Sowers, Todd A; Bock, Michael; Spahni, Renato; Behrens, Melanie; Schmitt, Jochen; Miller, Heinz; Fischer, Hubertus (2013): Independent variations of CH4 emissions and isotopic composition over the past 160,000 years. Nature Geoscience, 6, 885-890, https://doi.org/10.1038/ngeo1922
    Publication Date: 2023-03-16
    Description: The response of natural CH4 sources to climate changes will be an important factor to consider as concentrations of this potent greenhouse gas continue to increase. Polar ice cores provide the means to assess this sensitivity in the past and have shown a close connection between CH4 levels and northern hemisphere temperature variability over the last glacial cycle. However, the contribution of the various CH4 sources and sinks to these changes is still a matter of debate. Contemporaneous stable CH4 isotope records in ice cores provide additional boundary conditions for assessing changes in the CH4 sources and sinks. Here we present new ice core CH4 isotope data covering the last 160,000 years, showing a clear decoupling between CH4 loading and carbon isotopic variations over most of the record. We suggest that d13CH4 variations were not dominated by a change in the source mix but rather by climate- and CO2-related ecosystem control on the isotopic composition of the methane precursor material, especially in seasonally inundated wetlands in the tropics. In contrast, relatively stable d13CH4 intervals occurred during large CH4 loading changes concurrently with past climate changes implying that most CH4 sources (most notably tropical wetlands) responded simultaneously.
    Keywords: EPICA; European Project for Ice Coring in Antarctica
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 9
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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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  • 10
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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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  • 11
    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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  • 12
    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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  • 13
    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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  • 14
    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
    Location Call Number Expected Availability
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  • 15
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; Corumba_reservoir; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 3620 data points
    Location Call Number Expected Availability
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  • 16
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2579 data points
    Location Call Number Expected Availability
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  • 17
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 29501 data points
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; Serra_da_Mesa_reservoir; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1708 data points
    Location Call Number Expected Availability
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  • 19
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Estreito_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 20847 data points
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Funil_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 53707 data points
    Location Call Number Expected Availability
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  • 21
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit); Xingo_reservoir
    Type: Dataset
    Format: text/tab-separated-values, 4292 data points
    Location Call Number Expected Availability
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  • 22
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; G. O. Sars (2003); GS13/101; GS13/101_01; GS13/101_02; GS13/101_03; GS13/101_04; GS13/101_05; GS13/101_06; GS13/101_07; GS13/101_08; GS13/101_09; GS13/101_10; GS13/101_11; GS13/101_12; GS13/101_13; GS13/101_14; GS13/101_15; GS13/101_16; GS13/101_17; GS13/101_18; GS13/101_19; GS13/101_20; GS13/101_21; GS13/101_22; GS13/101_23; GS13/101_24; GS13/101_25; GS13/101_26; GS13/101_27; GS13/101_28; GS13/101_29; GS13/101_30; GS13/101_31; GS13/101_32; GS13/101_33; GS13/101_34; GS13/101_35; GS13/101_36; GS13/101_37; GS13/101_38; GS13/101_39; GS13/101_40; GS13/101_41; GS13/101_42; GS13/101_43; GS13/101_44; GS13/101_45; GS13/101_46; GS13/101_47; GS13/101_48; GS13/101_49; GS13/101_50; GS13/101_51; GS13/101_52; GS13/101_53; GS13/101_54; GS13/101_55; GS13/101_56; GS13/101_57; GS13/101_58; GS13/101_59; GS13/101_60; GS13/101_61; GS13/101_62; GS13/101_63; GS13/101_64; GS13/101_65; GS13/101_66; GS13/101_67; GS13/101_68; GS13/101_69; GS13/101_70; GS13/101_71; GS13/101_72; GS13/101_73; GS13/101_74; GS13/101_75; GS13/101_76; GS13/101_77; GS13/101_78; GS13/101_79; GS13/101_80; GS13/101_81; GS13/101_82; GS13/101_83; GS13/101_84; GS13/101_85; GS13/101_86; GS13/101_87; GS13/101_88; GS13/101_89; GS13/101_90; GS13/101_91; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Latitude of event; Longitude of event; North Sea; Norwegian Sea; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 37395 data points
    Location Call Number Expected Availability
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  • 23
    facet.materialart.
    Unknown
    PANGAEA
    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; Nitrate; North Sea; Norwegian Sea; Phosphate; Pressure, water; Salinity; Scotia; Scotia13/2; Scotia13/2_01; Scotia13/2_02; Scotia13/2_03; Scotia13/2_04; Scotia13/2_05; Scotia13/2_06; Scotia13/2_07; Scotia13/2_08; Scotia13/2_09; Scotia13/2_10; Scotia13/2_11; Scotia13/2_12; Scotia13/2_13; Scotia13/2_14; Scotia13/2_15; Scotia13/2_16; Scotia13/2_17; Scotia13/2_18; Scotia13/2_19; Scotia13/2_20; Scotia13/2_21; Scotia13/2_22; Scotia13/2_23; Scotia13/2_24; Scotia13/2_25; Scotia13/2_26; Scotia13/2_27; Scotia13/2_28; Scotia13/2_29; Scotia13/2_30; Scotia13/2_31; Scotia13/2_32; Scotia13/2_33; Scotia13/2_34; Scotia13/2_35; Scotia13/2_36; Scotia13/2_37; Scotia13/2_38; Scotia13/2_39; Scotia13/2_40; Scotia13/2_41; Scotia13/2_42; Scotia13/2_43; Scotia13/2_44; Scotia13/2_45; Scotia13/2_46; Scotia13/2_47; Scotia13/2_48; Scotia13/2_49; Scotia13/2_50; Scotia13/2_51; Scotia13/2_52; Scotia13/2_53; Scotia13/2_54; Scotia13/2_55; Scotia13/2_56; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 16845 data points
    Location Call Number Expected Availability
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  • 24
    facet.materialart.
    Unknown
    PANGAEA
    Publication Date: 2023-03-13
    Keywords: CTD/Rosette; CTD-RO; Dana01/13; Dana13_001; Dana13_003; Dana13_005; Dana13_008; Dana13_017; Dana13_019; Dana13_021; Dana13_025; Dana13_026; Dana13_034; Dana13_037; Dana13_039; Dana13_041; Dana13_043; Dana13_053; Dana13_056; Dana13_058; Dana13_064; Dana13_067; Dana13_068; Dana13_071; Dana13_079; Dana13_081; Dana13_084; Dana13_092; Dana13_102; Dana13_104; Dana13_106; Dana13_109; Dana13_116; Dana13_118; Dana13_120; Dana13_123; Dana13_129; Dana13_131; Dana13_133; Dana13_136; Dana13_142; Dana13_144; Dana13_146; Dana13_149; Dana13_150; Dana13_152; Dana13_154; Dana13_157; Dana II; Date/Time of event; DEPTH, water; Elevation of event; Event label; International Young Fish Survey/International Bottom Trawl Survey; IYFS/IBTS; Kattegat; Latitude of event; Longitude of event; Pressure, water; Salinity; Skagerrak; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1222 data points
    Location Call Number Expected Availability
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  • 25
    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
    Location Call Number Expected Availability
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  • 26
    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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  • 27
    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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  • 28
    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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  • 29
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    Unknown
    PANGAEA
    In:  Renard Centre of Marine Geology, University of Gent
    Publication Date: 2023-03-10
    Keywords: Alboran Sea; Conductivity; CTD; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; EUROFLEETS; Event label; Fluorescence, chlorophyll; Latitude of event; Longitude of event; Marion Dufresne (1995); MD13-34-CTD-1; MD13-34-CTD-2; MD13-34-CTD-3; MD13-34-CTD-4; MD13-34-CTD-5; MD13-34-CTD-6; MD194; Number of observations; Oxygen; Pressure, water; Salinity; South Atlantic Ocean; Temperature, water; Temperature, water, potential
    Type: Dataset
    Format: text/tab-separated-values, 33840 data points
    Location Call Number Expected Availability
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  • 30
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    Unknown
    PANGAEA
    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; Oxygen; Pressure, water; Salinity; Temperature, water; Thalassa; Thalassa13/1; Thalassa13/1_001; Thalassa13/1_003; Thalassa13/1_006; Thalassa13/1_007; Thalassa13/1_008; Thalassa13/1_009; Thalassa13/1_010; Thalassa13/1_011; Thalassa13/1_012; Thalassa13/1_013; Thalassa13/1_014; Thalassa13/1_015; Thalassa13/1_016; Thalassa13/1_017; Thalassa13/1_018; Thalassa13/1_019; Thalassa13/1_020; Thalassa13/1_021; Thalassa13/1_022; Thalassa13/1_023; Thalassa13/1_024; Thalassa13/1_025; Thalassa13/1_026; Thalassa13/1_027; Thalassa13/1_029; Thalassa13/1_030; Thalassa13/1_031; Thalassa13/1_032; Thalassa13/1_033; Thalassa13/1_034; Thalassa13/1_035; Thalassa13/1_036; Thalassa13/1_037; Thalassa13/1_038; Thalassa13/1_039; Thalassa13/1_040; Thalassa13/1_041; Thalassa13/1_042; Thalassa13/1_043; Thalassa13/1_044; Thalassa13/1_045; Thalassa13/1_046; Thalassa13/1_047; Thalassa13/1_048; Thalassa13/1_049; Thalassa13/1_050; Thalassa13/1_051; Thalassa13/1_052; Thalassa13/1_053; Thalassa13/1_054; Thalassa13/1_055; Thalassa13/1_056; Thalassa13/1_057; Thalassa13/1_058; Thalassa13/1_059; Thalassa13/1_060; Thalassa13/1_061; Thalassa13/1_062; Thalassa13/1_063; Thalassa13/1_063b; Thalassa13/1_064; Thalassa13/1_065; Thalassa13/1_066; Thalassa13/1_067; Thalassa13/1_068; Thalassa13/1_069; Thalassa13/1_070; Thalassa13/1_071; Thalassa13/1_072; Thalassa13/1_073; Thalassa13/1_074; Thalassa13/1_075; Thalassa13/1_076; Thalassa13/1_077; Thalassa13/1_078; Thalassa13/1_079; Thalassa13/1_080; Thalassa13/1_081; Thalassa13/1_082; Thalassa13/1_083; Thalassa13/1_084; Thalassa13/1_085; Thalassa13/1_086; Thalassa13/1_087; Thalassa13/1_089; Thalassa13/1_090; Thalassa13/1_091; Thalassa13/1_092; Thalassa13/1_093; Thalassa13/1_094; Thalassa13/1_095; Thalassa13/1_096; Thalassa13/1_097; Thalassa13/1_098; Thalassa13/1_099; Thalassa13/1_100; Thalassa13/1_101; Thalassa13/1_102; Thalassa13/1_103; Thalassa13/1_104; Thalassa13/1_105; Thalassa13/1_106; Thalassa13/1_107; Thalassa13/1_108; Thalassa13/1_109; Thalassa13/1_110; Thalassa13/1_111; Thalassa13/1_112; Thalassa13/1_113; Thalassa13/1_114; Thalassa13/1_115; Thalassa13/1_116; Thalassa13/1_117; Thalassa13/1_118; Thalassa13/1_119; Thalassa13/1_120; Thalassa13/1_121; Thalassa13/1_122; Thalassa13/1_123; Thalassa13/1_124; Thalassa13/1_125; Thalassa13/1_126; Thalassa13/1_127; Thalassa13/1_128; Thalassa13/1_129; Thalassa13/1_130; Thalassa13/1_131; Thalassa13/1_132; Thalassa13/1_133; Thalassa13/1_134; Thalassa13/1_135; Thalassa13/1_136; Thalassa13/1_137; Thalassa13/1_138; Thalassa13/1_139; Thalassa13/1_140; Thalassa13/1_141; Thalassa13/1_142; Thalassa13/1_143; Thalassa13/1_144; Thalassa13/1_145; Thalassa13/1_146; Thalassa13/1_147; Thalassa13/1_148; Thalassa13/1_149; Thalassa13/1_150; Thalassa13/1_151; Thalassa13/1_152; Thalassa13/1_153; Thalassa13/1_154; Thalassa13/1_155; Thalassa13/1_156; Thalassa13/1_157; Thalassa13/1_158; Thalassa13/1_159; Thalassa13/1_160; Thalassa13/1_161; Thalassa13/1_162; Thalassa13/1_163; Thalassa13/1_164; Thalassa13/1_165; Thalassa13/1_166; Thalassa13/1_167; Thalassa13/1_168; Thalassa13/1_169
    Type: Dataset
    Format: text/tab-separated-values, 5545 data points
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  • 31
    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; Walther Herwig III; WH362; WH362_097; WH362_098; WH362_099; WH362_100; WH362_110; WH362_111; WH362_112; WH362_113; WH362_123; WH362_124; WH362_125; WH362_126; WH362_127; WH362_128; WH362_129; WH362_135; WH362_138; WH362_139; WH362_148; WH362_149; WH362_150; WH362_151; WH362_158; WH362_159; WH362_160; WH362_161; WH362_167; WH362_168; WH362_169; WH362_170; WH362_179; WH362_180; WH362_181; WH362_182; WH362_191; WH362_192; WH362_193; WH362_194; WH362_201; WH362_202; WH362_203; WH362_204; WH362_212; WH362_213; WH362_214; WH362_223; WH362_224; WH362_225; WH362_234; WH362_239; WH362_240; WH362_241; WH362_242; WH362_251; WH362_252; WH362_253; WH362_254; WH362_262; WH362_263; WH362_272; WH362_273; WH362_274; WH362_279; WH362_280; WH362_281
    Type: Dataset
    Format: text/tab-separated-values, 17367 data points
    Location Call Number Expected Availability
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  • 32
    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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  • 33
    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
    Location Call Number Expected Availability
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  • 34
    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
    Location Call Number Expected Availability
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  • 35
    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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  • 36
    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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  • 37
    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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  • 38
    Publication Date: 2023-03-14
    Keywords: Barometric pressure sensor, Setra CS100; Battery terminal voltage; DATE/TIME; Glaciers Austria; HEIGHT above ground; HEK_WST; Hochebenkar; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP45AC; Long-wave downward radiation; Long-wave upward radiation; Net radiometer, Kipp & Zonen, CNR 4; Ötztal, Tyrolian Alps, Austria; Precipitation; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Snow height; Sonic Ranging Sensor, Campbell Scientific, SR50A; Station pressure; Temperature, air; Temperature, technical; Thermometer PT-100, air; Tipping bucket rain gauge, R. M. Young, 52203; Weather station/meteorological observation; Wind direction; Wind monitor, R.M. Young, model 05103; Wind speed; Wind speed, maximum; WST
    Type: Dataset
    Format: text/tab-separated-values, 195828 data points
    Location Call Number Expected Availability
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  • 39
    Publication Date: 2023-03-14
    Keywords: Barents Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; FN42; FN42_001; FN42_002; FN42_003; FN42_004; FN42_005; FN42_006; FN42_007; FN42_008; FN42_009; FN42_010; FN42_011; FN42_012; FN42_013; FN42_014; FN42_015; FN42_016; FN42_017; FN42_018; FN42_019; FN42_020; FN42_021; FN42_022; FN42_023; FN42_024; FN42_025; FN42_026; FN42_027; FN42_028; FN42_029; FN42_030; FN42_031; FN42_032; FN42_033; FN42_034; FN42_035; FN42_036; FN42_037; FN42_038; FN42_039; FN42_040; FN42_041; FN42_042; FN42_043; FN42_044; FN42_045; FN42_046; FN42_047; FN42_048; FN42_049; FN42_050; FN42_051; FN42_052; FN42_053; FN42_054; FN42_055; FN42_056; FN42_057; FN42_058; FN42_059; FN42_060; FN42_061; FN42_062; FN42_063; FN42_064; FN42_065; FN42_066; FN42_067; FN42_068; FN42_069; FN42_070; FN42_071; FN42_072; FN42_073; FN42_074; FN42_075; FN42_076; FN42_077; FN42_078; FN42_079; FN42_080; FN42_081; FN42_082; FN42_083; FN42_084; FN42_085; FN42_086; FN42_087; FN42_088; FN42_089; FN42_090; FN42_091; FN42_092; FN42_093; FN42_094; FN42_095; FN42_096; FN42_097; FN42_098; FN42_099; FN42_100; FN42_101; FN42_102; FN42_103; FN42_104; FN42_104A; FN42_105; FN42_106; FN42_107; FN42_108; FN42_109; FN42_110; FN42_111; FN42_112; FN42_113; FN42_114; FN42_115; FN42_116; FN42_117; FN42_118; FN42_119; FN42_120; FN42_121; FN42_122; FN42_123; FN42_124; FN42_125; FN42_126; FN42_127; FN42_128; FN42_129; FN42_130; FN42_131; FN42_132; FN42_133; FN42_134; FN42_135; FN42_136; FN42_137; FN42_138; FN42_139; FN42_140; FN42_141; FN42_142; FN42_143; FN42_144; FN42_145; FN42_146; FN42_147; FN42_148; FN42_149; FN42_150; FN42_151; FN42_152; FN42_153; FN42_154; FN42_155; FN42_156; FN42_157; FN42_158; FN42_159; FN42_160; FN42_161; FN42_162; FN42_163; FN42_164; FN42_165; FN42_166; FN42_167; FN42_168; FN42_169; FN42_170; FN42_171; FN42_172; FN42_173; FN42_174; FN42_175; FN42_176; FN42_177; FN42_178; FN42_179; FN42_180; FN42_181; FN42_182; FN42_183; FN42_184; FN42_184A; FN42_185; FN42_186; FN42_186A; FN42_187; FN42_188; FN42_189; FN42_190; FN42_191; FN42_192; FN42_193; FN42_194; FN42_195; FN42_196; FN42_197; FN42_198; FN42_199; FN42_200; FN42_200A; FN42_201; FN42_202; FN42_203; FN42_204; FN42_205; FN42_206; FN42_207; FN42_208; FN42_209; FN42_210; FN42_211; FN42_212; FN42_213; FN42_213A; FN42_214; FN42_214A; FN42_215; FN42_216; FN42_217; FN42_218; FN42_219; FN42_220; FN42_221; FN42_222; FN42_222A; FN42_223; FN42_223A; FN42_224; FN42_225; FN42_226; FN42_227; FN42_228; FN42_228A; FN42_229; FN42_229A; FN42_230; FN42_231; FN42_231A; FN42_232; FN42_233; FN42_234; FN42_235; FN42_236; FN42_237; Fritjof Nansen; Latitude of event; Longitude of event; Nitrate; Nitrite; Nitrogen, total; Oxygen; Oxygen saturation; pH; Phosphate; Phosphorus; Salinity; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4901 data points
    Location Call Number Expected Availability
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  • 40
    Publication Date: 2023-03-14
    Keywords: Arsenic; Benthic Chamber; Benthic Flux\Cold1 ExpA; Benthic Flux\Cold1 ExpB; Benthic Flux\Hot1 ExpA; Benthic Flux\Hot1 ExpB; Boron; Bromine; Caesium; Calcium; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; CHAM; Chloride; Chromium; Cobalt; Comment; Copper; DATE/TIME; DEPTH, sediment/rock; ECO2; ECO2-6; ECO2-6-1; ECO2-6-2; ECO2-6-50; ECO2-6-51; Elevation of event; Event label; Hydrogen sulfide; Indium; Inductively coupled plasma - mass spectrometry (ICP-MS); Iodine; Ion chromatography; Iron; Lead; Magnesium; Manganese; Mercury; Nickel; Oxygen; Panarea; pH; pH meter; Potassium; Rubidium; Sample code/label; Sodium; Spectrophotometry; Strontium; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Sulfate; Temperature, water; Tin; Titration, Winkler; Total organic carbon analyzer (TOC-VCPH); Uranium; Vanadium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 544 data points
    Location Call Number Expected Availability
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  • 41
    facet.materialart.
    Unknown
    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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  • 42
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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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  • 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 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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  • 44
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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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  • 45
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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-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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  • 46
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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: 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
    BibTip Others were also interested in ...
  • 47
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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; 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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  • 48
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1008 data points
    Location Call Number Expected Availability
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  • 49
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; Serra_da_Mesa_reservoir; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 37554 data points
    Location Call Number Expected Availability
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  • 50
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tucurui_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2769 data points
    Location Call Number Expected Availability
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  • 51
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tucurui_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 3043 data points
    Location Call Number Expected Availability
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  • 52
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Funil_reservoir; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1854 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 53
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 26152 data points
    Location Call Number Expected Availability
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  • 54
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itaipu_reservoir; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 26024 data points
    Location Call Number Expected Availability
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  • 55
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tres_Marias_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 4862 data points
    Location Call Number Expected Availability
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  • 56
    Publication Date: 2023-03-14
    Keywords: AWI Arctic Land Expedition; Bolshoy Lyakhovsky Island, East Siberia, Russia; Conductivity; Date/Time of event; DEPTH, water; Event label; LAP-01d; LAP-02; LAP-03; LAP-04; LAP-05; LAP-06; LAP-07; LAP-08; LAP-09; LAP-10; LAP-11; LAP-12; LAP-13; LAP-14; LAP-15; LAP-16a; LAP-17; LAP-18; LAP-19; LAP-20; LAP-21; LAP-22; LAP-23; LAP-24; LAP-25; LAP-26; LAP-27; LAP-28; LAP-29; LAP-31; LAP-32; LAP-35; LAP-36; LAP-37; Latitude of event; Lena2007; Location of event; Longitude of event; near Tiksi, East Siberia, Russia; Oyogos Yar, East Siberia, Russia; pH; RU-Land_2007_Lena; Sample code/label; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
    Location Call Number Expected Availability
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  • 57
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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; 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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  • 58
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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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  • 59
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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
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  • 60
    facet.materialart.
    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
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  • 61
    facet.materialart.
    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
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  • 62
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 23598 data points
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  • 63
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; Serra_da_Mesa_reservoir; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 1842 data points
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  • 64
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tres_Marias_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 2253 data points
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  • 65
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tucurui_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 23417 data points
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  • 66
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Tucurui_reservoir; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 20286 data points
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  • 67
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Itumbiara; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 38574 data points
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  • 68
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Manso_reservoir; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 52687 data points
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  • 69
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Manso_reservoir; Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit)
    Type: Dataset
    Format: text/tab-separated-values, 34789 data points
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  • 70
    Publication Date: 2023-03-14
    Keywords: Brazil; BUOY_MET; Conductivity; DATE/TIME; DEPTH, water; Integrated System for Environmental Monitoring (SIMA); Meteorological buoy; Oxygen; pH; SIMA; Temperature, water; Turbidity (Nephelometric turbidity unit); Xingo_reservoir
    Type: Dataset
    Format: text/tab-separated-values, 11895 data points
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  • 71
    Publication Date: 2023-03-14
    Keywords: -; Alkalinity, total; Ammonium; Arsenic; Arsenic, error, relative; Bahamas; Barium; Barium, error, relative; Cadmium, error, relative; Caesium; Caesium, error, relative; Calcium; Calcium, error, relative; Calculated; Carbon, inorganic, dissolved; Carbonate ion; Chromium; Chromium, error, relative; Cobalt; Cobalt, error, relative; Copper; Copper, error, relative; DEPTH, sediment/rock; Description; Exuma; Hydrogen sulfide; ICP-Q-MS; Inductively coupled plasma-quadrupole-mass spectrometry; Iron; Iron, error, relative; Lead; Lead, error, relative; Magnesium; Magnesium, error, relative; Manganese; Manganese, error, relative; Nickel; Nickel, error, relative; Oxygen saturation; pH; Phosphate; Rhenium; Rhenium, error, relative; Rubidium; Rubidium, error, relative; Salinity; Strontium; Strontium, error, relative; Uranium; Uranium, error, relative; Vanadium; Vanadium, error, relative; Wet chemistry; δ13C, dissolved inorganic carbon
    Type: Dataset
    Format: text/tab-separated-values, 2589 data points
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  • 72
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    Unknown
    PANGAEA
    Publication Date: 2023-03-14
    Keywords: Ammonium; BDOG1; BDOG2; BDOG3; Benin, West Africa; Bicarbonate ion; Bromide; Calcium; Calculated; Chloride; Code; Conductivity; DATE/TIME; Depth, groundwater table; Deuterium excess; Dogue-Haus; DRILL; Drilling/drill rig; Event label; FE01; FE02; Fluorine; Global Change and the Hydrological Cycle; GLOWA; GWB1; GWB2; GWB3; ID 1; ID 150; ID 182; ID 183; ID 19; ID 193; ID 194; ID 195; ID 2; ID 204; ID 205; ID 206; ID 207; ID 208; ID 215; ID 216; ID 217; ID 253; ID 260; Identification; IMPETUS; Ionic balance; Iron 2+; Magnesium; Manganese; Nitrate; Nitrite; OW01; OW02; OW03; OW04; OW05; OW06; OW07; OW08; OW09; OW10; Oxidation reduction (RedOx) potential; Oxygen; pH; Phosphate; Potassium; Sample type; Sampling Well; Silica, dissolved; Sodium; Strontium; Sulfate; Surface water sample; SWS; Temperature, water; Water sample; WELL; WS; δ18O; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 2321 data points
    Location Call Number Expected Availability
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  • 73
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated; Carbon, inorganic, dissolved; Carbonate ion; Carbon dioxide; Carbon dioxide, partial pressure; CTD/Rosette; CTD-RO; DEPTH, water; Elevation of event; El Puma; Event label; Gulf of California; Latitude of event; Longitude of event; Mediterranean Sea Acidification in a Changing Climate; MedSeA; pH; pH meter (Metrohm ph mobile); Salinity; Temperature, water; WACTD-02-01CTD; WACTD-02-02CTD; WACTD-02-09CTD; WACTD-02-12CTD; WACTD-02-19CTD; WACTD-02-25CTD; WACTD-02-27CTD; WACTD-02-29CTD; WACTD-02-31CTD; WAG-02
    Type: Dataset
    Format: text/tab-separated-values, 97 data points
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  • 74
    Publication Date: 2023-03-14
    Keywords: Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Conductivity, electrical; Conductivity, standard deviation; DATE/TIME; Date/time end; Lake type; Mackenzie_area; MULT; Multiple investigations; Nitrate and Nitrite; Nitrate and Nitrite, standard deviation; Nitrogen, organic, particulate; Nitrogen, organic, particulate, standard deviation; Nitrogen, standard deviation; Nitrogen, total; Nitrogen, total, standard deviation; Nitrogen, total dissolved; Nitrogen in ammonia; Nitrogen in ammonia, standard deviation; Northwest Territories, Canada; pH; pH, standard deviation; Phosphate; Phosphorus, dissolved; Phosphorus, standard deviation; Phosphorus, total; Temperature, water; Temperature, water, maximum; Temperature, water, minimum; Temperature, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 75
    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
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  • 76
    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
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  • 77
    Publication Date: 2023-03-14
    Keywords: Barometric pressure sensor, Setra CS100; Battery terminal voltage; DATE/TIME; Glaciers Austria; HEIGHT above ground; HEK_WST; Hochebenkar; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP45AC; Long-wave downward radiation; Long-wave upward radiation; Net radiometer, Kipp & Zonen, CNR 4; Ötztal, Tyrolian Alps, Austria; Precipitation; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Snow height; Sonic Ranging Sensor, Campbell Scientific, SR50A; Station pressure; Temperature, air; Temperature, technical; Thermometer PT-100, air; Tipping bucket rain gauge, R. M. Young, 52203; Weather station/meteorological observation; Wind direction; Wind monitor, R.M. Young, model 05103; Wind speed; Wind speed, maximum; WST
    Type: Dataset
    Format: text/tab-separated-values, 765072 data points
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  • 78
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    Unknown
    PANGAEA
    In:  Supplement to: Lidbury, Ian; Johnson, Vivienne R; Hall-Spencer, Jason M; Munn, Colin B; Cunliffe, Michael (2012): Community-level response of coastal microbial biofilms to ocean acidification in a natural carbon dioxide vent ecosystem. Marine Pollution Bulletin, 64(5), 1063-1066, https://doi.org/10.1016/j.marpolbul.2012.02.011
    Publication Date: 2023-03-14
    Description: The impacts of ocean acidification on coastal biofilms are poorly understood. Carbon dioxide vent areas provide an opportunity to make predictions about the impacts of ocean acidification. We compared biofilms that colonised glass slides in areas exposed to ambient and elevated levels of pCO2 along a coastal pH gradient, with biofilms grown at ambient and reduced light levels. Biofilm production was highest under ambient light levels, but under both light regimes biofilm production was enhanced in seawater with high pCO2. Uronic acids are a component of biofilms and increased significantly with high pCO2. Bacteria and Eukarya denaturing gradient gel electrophoresis profile analysis showed clear differences in the structures of ambient and reduced light biofilm communities, and biofilms grown at high pCO2 compared with ambient conditions. This study characterises biofilm response to natural seabed CO2 seeps and provides a baseline understanding of how coastal ecosystems may respond to increased pCO2 levels.
    Keywords: Alkalinity, total; AS-Alk 2 Total Alkalinity Titrator (Apollo SciTech Inc, Georgia, USA); average; Calculated using CO2SYS; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; DEPTH, water; EXP; Experiment; Mediterranean Sea Acidification in a Changing Climate; MedSeA; pH; Site; Vulcano; Vulcano, Aeolian Islands, North East Sicily, Italy
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
    Location Call Number Expected Availability
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  • 79
    Publication Date: 2023-03-14
    Keywords: Barometric pressure sensor, Setra CS100; Battery terminal voltage; DATE/TIME; Glaciers Austria; HEIGHT above ground; HEK_WST; Hochebenkar; Humidity, relative; Humidity-Temperature probe, Vaisala, HMP45AC; Long-wave downward radiation; Long-wave upward radiation; Net radiometer, Kipp & Zonen, CNR 4; Ötztal, Tyrolian Alps, Austria; Precipitation; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Snow height; Sonic Ranging Sensor, Campbell Scientific, SR50A; Station pressure; Temperature, air; Temperature, technical; Thermometer PT-100, air; Tipping bucket rain gauge, R. M. Young, 52203; Weather station/meteorological observation; Wind direction; Wind monitor, R.M. Young, model 05103; Wind speed; Wind speed, maximum; WST
    Type: Dataset
    Format: text/tab-separated-values, 586831 data points
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  • 80
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Bottle, Niskin 5-L; bottle/Cratere; Carbon, inorganic, dissolved; Carbon dioxide; Carbon dioxide, partial pressure; Date/Time of event; DEPTH, water; ECO2; ECO2-6; ECO2-6-43; ECO2-6-68; Elevation of event; Event label; Hydrogen sulfide; Latitude of event; Longitude of event; Methane; NIS_5L; Nitrogen, gas; Oxygen; Oxygen, gas; Panarea; pH; pH meter; Salinity; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Titration
    Type: Dataset
    Format: text/tab-separated-values, 79 data points
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  • 81
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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
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  • 82
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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
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  • 83
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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
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  • 84
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-IV/3; AWI_Paleo; CT; DATE/TIME; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/3-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 85
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-V/4; AWI_Paleo; CT; DATE/TIME; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS10; PS10/4-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
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  • 86
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-VI/3; AWI_Paleo; CT; DATE/TIME; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS12; PS12/3-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to image
    Type: Dataset
    Format: text/tab-separated-values, 219 data points
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  • 87
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Type: Dataset
    Format: video/quicktime, 1.5 GBytes
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  • 88
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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
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  • 89
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-IX/2; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS18/2-track; PS18 06AQANTIX_2; Swath-mapping system Atlas Hydrosweep DS-1; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 722 data points
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  • 90
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-XI/2; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS37; PS37/2-track; Swath-mapping system Atlas Hydrosweep DS-1; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 702 data points
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  • 91
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-VIII/1; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/1-track; Swath-mapping system Atlas Hydrosweep DS-1; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 478 data points
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  • 92
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-VIII/3; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/3-track; Swath-mapping system Atlas Hydrosweep DS-1; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 506 data points
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  • 93
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ANT-XVII/4; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS56; PS56/4-track; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 3593 data points
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  • 94
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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
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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: ANT-VIII/4; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS16; PS16/4-track; Swath-mapping system Atlas Hydrosweep DS-1; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 96
    Publication Date: 2023-03-16
    Keywords: ANT-XXIII/7; AWI_SeaIce; Comment; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; ICE; Ice station; Polarstern; PS69/542-2; PS69 WWOS; RULER; Ruler stick; Sample code/label; Scotia Sea, southwest Atlantic; Sea Ice Physics @ AWI; Texture; Visual description; WS-1
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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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: ARK-XIX/4a; AWI_Paleo; DATE/TIME; Date/time end; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; North Greenland Sea; Number of shots; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Profile/sampling length; PS64; PS64/491-1; Sample code/label; Seismic reflection profile; SEISREFL; Uniform resource locator/link to image; Uniform resource locator/link to sgy data file
    Type: Dataset
    Format: text/tab-separated-values, 104 data points
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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: Arctic Ocean; ARK-XXVI/3; AWI_PhyOce; CT; DATE/TIME; DEPTH, water; LATITUDE; LONGITUDE; Physical Oceanography @ AWI; Polarstern; PS78/3-track; PS78 TransArc; Salinity; Temperature, water; Thermosalinograph; TSG; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 11290 data points
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  • 99
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-XXVI/3; AWI_Paleo; Giant box corer; GKG; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS78/206-4; PS78 TransArc
    Type: Dataset
    Format: unknown
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  • 100
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: ARK-IV/3; AWI_Paleo; CT; DATE/TIME; LATITUDE; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS11; PS11/3-track; Swath-mapping system SeaBeam; Underway cruise track measurements; Uniform resource locator/link to raw data file
    Type: Dataset
    Format: text/tab-separated-values, 1026 data points
    Location Call Number Expected Availability
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