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  • 2025-2025  (24)
  • 2020-2024  (36,707)
  • 2023  (36,707)
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  • 1
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    Geothermal Explosion at the 2014 Landslide-Covered Area of the Geyser Valley, Kamchatka, Russian Far East (2023)
    In:  GeoHazards
    Details
    Publication Date: 2024-06-17
    Description: Geyser geothermal fields are scenic volcanic landforms that often contain tens to hundreds of thermal spot vents that erupt boiling water or contain bubbling mud pools. The fields are potentially hazardous sites due to boiling water temperatures and changes in vent locations and eruption dynamics, which are poorly understood. Here we report on the rapid and profound changes that can affect such a geyser field and ultimately lead to a dangerous, unanticipated eruption. We studied the Geyser Valley, Kamchatka Peninsula, which is a field of geysers and other thermal features and boiling pools. Using high-resolution tri-stereo satellite data and unmanned aerial systems (UAS) with optical and thermal infrared cameras in 2018 and 2019, we were able to identify a newly emerging explosion site. Structure-from-motion analysis of data acquired before and after the explosion reveals morphological and thermal details of the new vent. The explosion site produced an aureole zone of more than 150 m3 of explosively redeposited gravel and clay, a slightly elliptical crater with a diameter of 7.5 m and a crater rim 0.30 m high. However, comparison with archives of photogrammetric data suggests that this site was thermally active years earlier and contained a crater that was obscured and covered by landslides and river sediments. The results allow us to develop a conceptual model and highlight the hazard potential of thermal features buried by landslides and clastic deposits. Sudden explosions may occur at similar sites elsewhere, highlighting the need for careful assessment and monitoring of geomorphological and hydrological changes at geyser sites in other regions.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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    PAPER (OA)
  • 2
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    Experiments on coexisting phytoplankton species Chaetoceros affinis and Emiliania huxleyi in response to nutrients (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: Measurements of cell size, cell density, nutrient concentration and genotype composition in a long-term experiment (182 days) with the marine phytoplankton species Chaetoceros affinis and Emiliania huxleyi, each consisting of nine genotypes. The species were cultivated together at three different nutrient regimes (10 N, 20 N, 30 N) with increasing nitrate supply in a semi-continuous batch cycle system. The genotype composition of both species was assessed after 49, 91, and 182 days using microsatellites. In a short-term experiment cell size and density of nine Chaetoceros affinis genotypes separately were measured after 7 days growth at seven nitrate levels (2.5, 5, 7.5, 12.5, 20, 30, and 45 μmol L−1 N).
    Keywords: cell size; diatoms; evolution; Genotype Sorting; Laboratory experiment; nutrients; phenotypic plasticity; Phytoplankton; Priority Programme 1704 DynaTrait: Flexibility Matters: Interplay between Trait Diversity and Ecological Dynamics Using Aquatic Communities as Model Systems; Species Sorting; SPP1704; trait variability
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 3
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    Mid- to late-Holocene analysis of the influence of the La Plata River plume on the southwestern Atlantic shelf: A paleoenvironmental reconstruction based on lipid biomarkers and benthic foraminifera (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: The coupled results of sedimentological, molecular, and microfossil proxies were used to determine the paleoclimatic and paleoceanographic variations as well as identify the sediment transport pathways along the last c.a. 6,300 years in a sedimentary record collected on the inner shelf of the Southwestern Atlantic Ocean. Applied methods include the analyses of n-alkanes, n-alkanols, alkenones, and benthic foraminifera enabling a more complete environmental perspective of the La Plata River plume influence on the Southwestern Atlantic Shelf, regarding the relationship between climate, productivity, as well as hydrodynamic. Variations in marine productivity, lipid biomarkers of terrestrial plants, diagnostic geochemical indices, and sea surface temperature point to three phases within the core. These phases suggest the influence of synchronized variations in sea level, precipitation over the Paraná River drainage basin, and the northward displacement of the PPW by the BCC, transporting sediments from southern areas to the core 7606 region.
    Keywords: Benthic foraminifera; GC; Gravity corer; La_Plata_River_plume; La Plata River; lipid biomarkers; Paleotemperature; southern Brazil
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 4
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    Biomarker and XRF scanning data from IODP Site 350-U1437B: a study of paleoceanographic and paleoclimatic changes in the Northwest Pacific Ocean over the past 1 Ma (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: Sediment core U1437B was drilled during International Ocean Discovery Program Expedition 350 in 2014. The aim of this study was to infer information on the paleoclimatic and paleoceanographic evolution of the Northwest Pacific Ocean and adjacent East Asian continent over the past 1 Ma. For this, 174 freeze-dried and homogenized sediment samples from Site U1437 Hole B were extracted using a solvent mixture of dichloromethane:methanol (93:7, v:v) at elevated temperature (75° ) and pressure (50 bar) using a Büchi Speed Extractor (Büchi, Switzerland). Total lipid extracts were desulfurized and an aliquot with an added standard mixture was measured on an Agilent 7980 gas chromatograph (GC) coupled to an Agilent 5975 mass spectrometer (MS) to quantify long- chain n-alkanes, n-alcohols, and nonacosan-10-ol. Another aliquot of the total lipid extracts was separated into apolar, ketone and polar fractions using column chromatography. The ketone-bearing fractions were subsequently measured on an Agilent 7980 GC coupled to an Agilent 5975 MS (Agilent, Germany). The polar fractions were analyzed by high performance liquid chromatography coupled to mass spectrometry (HPLC/MS) using an Alliance 2690 HPLC (Waters, UK) and a Quattro LC triple quadrupole MS (Micromass, UK) to measure glycerol dialkyl glycerol tetraethers (GDGTs). Total organic carbon contents were determined on 200 mg decarbonized sediment powder using an ELTRA CS- 580A elemental analyzer. Additionally, sections 350-U1437B-1H-1A to 17F-4A, comprising the uppermost 120 m of Hole B and corresponding to the past 1 Ma, were scanned using an ITRAX micro-X-ray fluorescence (XRF) core scanner at Kochi Core Center, Japan. XRF spectra were generated every 2 cm with an exposure time of 60 sec. The X-ray beam was generated with a 3 kW Mo tube run at 30 kV and 55 mA. Sea surface temperature estimates calculated from the unsaturated ketone index (UK'37) and GDGT- based tetraether index (TEX86) as well as GDGT-based methane index (MI) and branched and isoprenoid tetraether index (BIT) values are reported in Dataset S1. Dataset S2 contains summed concentrations of long-chain n-alkanes, n-alcohols and nonacosan-10- ol, as well as mass accumulation rates of TOC and C37 alkenones, which were calculated using linear sedimentation rates, alkenone or TOC contents, and dry bulk densities from shipboard measurements (Tamura et al., 2015). Fractional abundances of individual GDGTs and C37 ketones are reported in Dataset S3. Dataset S4 comprises ratios of selected elements calculated from XRF scanning measurements on core sections of the uppermost 120 meters below seafloor of Site U1437 Hole B.
    Keywords: Alkenones; Dust flux; GDGTs; n-alcohols; n-alkanes; nonacosan-10-ol; Northwestern Pacific Ocean; Paleotemperature; plant wax lipids; productivity; Sea surface temperature; TEXH86; Uk´37; westerly jet stream; XRF
    Type: Dataset
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 5
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    Ice distribution in Hornsund fjord, Svalbard from Sentinel-1A/B (2014-2023) (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: This dataset contains binary maps of ice (1) and open water (0) in Hornsund fjord, Svalbard at 50 m resolution. The maps are based on the Sentinel-1A/B Synthetic Aperture Radar (SAR) archive between 14.10.2014 and 29.06.2023 with an average image frequency of 1.57 days. An algorithm was run on the radar backscatter and incidence angle images to divide fjord into typically 5 discontinuous segments, which were then classified as either ice or open water. A document containing details on the scenes and polarisation channels used, the number of segments and the level of manual editing is provided.
    Keywords: Arctic; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Cryosphere; Hornsund_fjord; remote sensing; SAR; Sea ice; Sentinel-1; Svalbard; Synthetic Aperture Radar (SAR), Sentinel, 1A/B
    Type: Dataset
    Format: text/tab-separated-values, 2032 data points
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    DATA PANGAEA
  • 6
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    Winter cod 2022: Monitoring data recorded during RV ALKOR cruise AL568b - Gadus morhua body and gonad measurements (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: This data contains monitoring data of the RV ALKOR cruise AL568b conducted in January 2022 (January 24th – February 1st) in the Western Baltic Sea by the University of Hamburg. The cruise was part of the 5-year monitoring programme Winter cod 2021-25 (Monitoring winter spawning activity of Western Baltic cod (Gadus morhua) (2021-25)) of the University of Hamburg aiming at investigating the early-winter spawning activity of Western Baltic cod to identify potential climate-induced shifts in spawning phenology. The data set includes cod single fish analysis data. All single fish measurements were made directly on board. Full wet weights of cod were measured and subsequently cod were gutted and liver weights, gonad weights and sexes, gutted wet weights (i.e., gutted wet mass), gonad stages and liver nematode infestations were recorded, and Otoliths were taken.
    Keywords: AL568/b_14-1; AL568/b_30-1; AL568/b_48-1; AL568/b_5-1; AL568/b_52-1; AL568/b_53-1; AL568/b_54-1; AL568/b_57-1; AL568/b_62-1; AL568b; Alkor (1990); Baltic Sea; cod monitoring data; Cruise/expedition; DAM sustainMare - SpaCeParti: Coastal Fishery, Biodiversity, Spatial Use and Climate Change: A Participative Approach to navigate the Western Baltic Sea into a Sustainable Future; DATE/TIME; DEPTH, water; Determination of gonadal maturity according to Tomkiewicz et al. (2002); Event label; Fishing rod; Fish measuring board; FR; Gadus morhua; Gadus morhua, gonad, wet mass; Gadus morhua, gonadal stage; Gadus morhua, liver, wet mass; Gadus morhua, parasitic nematodes in liver; Gadus morhua, sex; Gadus morhua, total length; Gadus morhua, wet mass; Haul; Individual ID; LATITUDE; LONGITUDE; Marine scale, Marel, M2200; Otolith; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; SpaCeParti; Station label; sustainMare; The Little Belt; TRAWL; Trawl net; Western Baltic; winter
    Type: Dataset
    Format: text/tab-separated-values, 1102 data points
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    DATA PANGAEA
  • 7
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    Core incubation macronutrient data from Greenland margin and the Labrador Sea (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: The dataset contains core incubation macronutrient (nitrate+nitrite, nitrite, ammonium, phosphate) concentration measurements, obtained from seven sediment cores collected from the Greenland margin and the Labrador Sea. Porewaters were extracted from the sediment cores using Rhizon samplers and frozen for transport. The frozen samples were thawed according to GoSHIP protocols and analysed for inorganic macronutrients using a SEAL analytical AAIII segmented flow colorimetric auto-analyser. Seawater nutrient reference materials (KANSO Ltd. Japan) were also analysed to check analyser performance and to guarantee the quality control of the final reported data. The typical uncertainty of the analytical results were between 2-3%, and the limits of detection for nitrate and phosphate were 0.02 mmol/m3, and 0.01 mmol/m3 for nitrite. For full methods and analytical quality control, see Hendry et al., 2019. The samples were collected as part of the European Research Council project ICY-LAB (ERC-2015-STG grant agreement number 678371).
    Keywords: ammonium; CDRILL; Core drilling; DATE/TIME; Discovery (2013); DY081; DY081_18; DY081_3; DY081_42; DY081_49; DY081_51; DY081_57; DY081_9; DY081_MGA01; DY081_MGA02; DY081_MGA03; DY081_MGA04; DY081_MGA05; DY081_MGA06; DY081_MGA07; Elevation of event; Event label; Height above sea floor/altitude; ICY-LAB; Incubation duration; Isotope CYcling in the LABrador Sea; Latitude of event; Longitude of event; nitrate; Nitrate and Nitrite; nitrite; Nitrite; Phosphate; pore fluid; Ratio; sediment; Segmented flow colorimetric auto-analyser, SEAL AutoAnalyzer 3
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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    DATA PANGAEA
  • 8
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    Spatial and temporal abundance and size trends in scyphozoan jellyfish in coastal Icelandic waters in 2008 (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: Scyphozoan jellyfish in Icelandic waters have received limited attention, despite apparent recent increases in jellyfish blooms and considerable regional oceanographic and climatic changes. We studied the species composition, abundance, phenology, and growth of scyphomedusae around the island and explored changes in distribution, species composition, and seasonality by comparing our findings with reports from the 1930s. Scyphomedusae were collected with a Bongo net (60 cm ring diameter, 250 cm net length, and 500 µm mesh size) in the top 10 m of the water column in five regions (fjords between 64 and 66°N) around Iceland in the spring, summer, and autumn of 2008. Between 4 and 36 tows were performed per sampling region. This dataset includes umbrella diameter, dry and wet mass, as well as abundance data of two species: Aurelia aurita and Cyanea capillata.
    Keywords: BONGO; Bongo net; Calculated, see Comment; Calculated according to Lüskow et al. (2021); Climate change; Cnidaria; DATE/TIME; Day of the year; DEPTH, water; Direction; Elevation description; Event label; Gear; gelatinous zooplankton; Iceland_East; Iceland_North; Iceland_Northwest; Iceland_Southwest; Iceland_West; LATITUDE; LONGITUDE; RULER; Ruler stick; Scyphozoa; Scyphozoa, dry mass; Scyphozoa, umbrella diameter; Scyphozoa, wet mass; Season; Seasonality; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); subarctic; warming; Year of sampling
    Type: Dataset
    Format: text/tab-separated-values, 7834 data points
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    DATA PANGAEA
  • 9
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    δ18O and δ13C of Cibicidoides wuellerstorfi and related species and carbonate chemistry of ambient sea water (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: The δ13C composition of Cibicidoides wuellerstorfi and other Cibicidoides spp is an important tool to reconstruct past changes in the deep ocean carbon cycle. The species are expected to match the δ13C of ambient dissolved inorganic carbon (DIC), although it has been recognised that substantial offsets can occur. I present a compilation of Late Holocene δ13C and δ18O data for named Cibicidoides species in combination with fully resolved carbonate chemistry at each core location, with the aim to test if variation in isotope composition is related to ambient carbonate saturation. Stable isotope data were pre-screened to remove sections with mixed glacial-Holocene Cibicidoides specimens. The resultant database contains δ13C and δ18O data for C. wuellerstorfi from 252 globally distributed core localities and 29 localities for other named Cibicidoides species. Oceanographic data were compiled from published 1° x 1° gridded data sets, including a global reconstruction of pre-industrial δ13C-DIC and δ18O of ocean water. The expected carbonate δ18O was calculated using an empirical temperature equation for inorganic calcite. Concentrations of dissolved carbonate species and saturation state were calculated as a function of depth, salinity, and temperature.
    Keywords: 0010PG; 0016PG; 0021PG; 0026PG; 0029PG; 0032PG; 0036PG; 0038PG; 0050PG; 0055PG; 0058PG; 0066PG; 0071PG; 0075PG; 0082PG; 0091PG; 053-2; 054-1; 056-4; 057-1; 108-658; 108-659; 121-758; 130-805; 130-806; 138-846; 138-849; 162-980; 167-1011; 167-1012; 167-1018; 175-1087A; 17SL; 181-1119A; 181-1122C; 181-1123B; 181-1125A; 293; 311; 6-TOW; 6-TOW-001GGC; 6-TOW-002GGC; 6-TOW-003GGC; 6-TOW-005GGC; 6-TOW-006GGC; 6-TOW-007GGC; 6-TOW-008GGC; 6-TOW-011GGC; 6-TOW-011PC; 6-TOW-012GGC; 6-TOW-013GGC; 6-TOW-014GGC; 6-TOW-015GGC; 6-TOW-016GGC; 7SL; 90-594_Site; Agadir Canyon; Agulhas Basin; AII60-13APC; Akademik A. Vinogradov; Alkalinity, total; AMADEUS; ANT-IV/1c; ANT-IX/4; ANT-VI/3; ANT-VIII/3; ANT-XI/2; APSARA4; Area/locality; Atlantic; Atlantic Indik Ridge; Atlantic Ocean; Atlantic Ridge; AVI19-4; BC; BCR; Benguela Current, South Atlantic Ocean; Bicarbonate ion; BIGSET; Biscaya; BOFS11891#4; BOFS11896#1; BOFS11K; BOFS14K; BOFS26/6K; BOFS26#6; BOFS28/3K; BOFS28#3; BOFS29/1K; BOFS29#1; BOFS30/3K; BOFS30#3; BOFS31/1K; BOFS31#1; Bounty Trough, Southwest Pacific; Box corer; Box corer (Reineck); Brazil Basin; C618; C620; Calcite saturation state; Calcite saturation state, offset; calculated, 1 sigma; calculated iteratively from DIC and TA; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso Square Core System; Canarias Sea; Cape Basin; Carbon, inorganic, dissolved; Carbonate ion; carbonate saturation; Carbon dioxide, dissolved; CASQS; CD53; CEPAG; CH115-88; CH73-139; CH73-139C; CH74-227; CH7X; CH8X; Charles Darwin; CHAT 10K; CHIPAL; CHN115-70PC; CHN115-91PC; CHN82-15; Cibicidoides spp.; Cibicidoides wuellerstorfi; Comment; COMPCORE; Composite Core; Continental Slope Northeast Brazil; Core; CORE; D184; Discovery (1962); Discovery Seamount; DRILL; Drilling/drill rig; E20-18; E25-10; E424; E425; E426; E427; E435; E48; E75; E93; East Atlantic; eastern Romanche Fracture Zone; East Pacific; ELEVATION; EN06601; EN066-10PG; EN066-16PG; EN066-21PG; EN066-26PG; EN066-29PG; EN066-32PG; EN066-36PG; EN066-38PG; Endeavor; Equatorial Atlantic; ERDC; ERDC-077BX; ERDC-079BX; ERDC-083BX; ERDC-088BX; ERDC-092BX; ERDC-108BX; ERDC-112BX; ERDC-113P; ERDC-120BX; ERDC-123BX; ERDC-125BX; ERDC-128BX; ERDC-129BX; ERDC-131BX; ERDC-135BX; ERDC-136BX; ERDC-139BX; Event label; EW9209-1JPC; EW9302; EW9302-24GGC; EW9302-25GGC; EW9302-26GGC; F754; F755; F756; FBG; Foraminifera, benthic δ13C; Foraminifera, benthic δ13C, standard deviation; Foraminifera, benthic δ18O; Foraminifera, benthic δ18O, standard deviation; Fugacity of carbon dioxide in seawater; G179; G56; G664; GC; GeoB1032-2; GeoB1034-1; GeoB1035-3; GeoB1041-1; GeoB1101-4; GeoB1105-3; GeoB1112-3; GeoB1113-4; GeoB1115-3; GeoB1117-2; GeoB1118-2; GeoB1211-1; GeoB1214-1; GeoB16202-2; GeoB16203-1; GeoB16205-4; GeoB16206-1; GeoB3004-1; GeoB3388-1; GeoB4216-1; GeoB9508-5; GeoB9526-4; GEOFAR; GEOTROPEX 83, NOAMP I; GGC; Giant box corer; Giant gravity corer; GIK12301-5; GIK12308-2; GIK12309-1; GIK12310-3; GIK12325-4; GIK12326-2; GIK12327-2; GIK12328-5; GIK12329-6; GIK12337-4; GIK12347-1; GIK12379-3; GIK12392-1; GIK13289-1; GIK15612-2; GIK15651-4; GIK15669-1; GIK15672-1; GIK15676-2; GIK15677-1; GIK15678-1; GIK16004-1; GIK16006-1; GIK16017-2; GIK16030-1; GIK16402-1; GIK16408-5; GIK16415-1; GIK16453-2; GIK16455-1; GIK16457-1; GIK16459-1; GIK16771-2; GIK16772-1; GIK16773-1; GIK17045-3; GIK17049-6; GIK17051-3; GIK17055-1; GIK17747-2; GIK23414-9; GIK23415-9; GIK23416-4; GIK23417-1; GIK23419-8; GIK23519-4; GKG; Glomar Challenger; Gravity corer; Gravity corer (Kiel type); Greenland Sea; Guinea Basin; Gulf of Aden; H427; H534; H553; H567; HOTLINE, HYGAPE; IMAGES XV - Pachiderme; Indian Ocean; Iquique-Ridge; J1003; Jean Charcot; Joides Resolution; KAL; Kasten corer; KF16; KN07304-0003PG; KN07307; KN11002; KN197-03; Knorr; KNR110-50; KNR110-55; KNR110-58; KNR110-66; KNR110-71; KNR110-75; KNR110-82; KNR110-91; KNR197-3; KNR197-3-10MC; KNR197-3-17MC; KNR197-3-24MC; KNR197-3-26MC; KNR197-3-28MC; KNR197-3-2MC; KNR197-3-30MC; KNR197-3-33MC; KNR197-3-35MC; KNR197-3-37MC; KNR197-3-41MC; KNR197-3-61MC; KNR197-3-63MC; KNR197-3-7MC; KOL; KT89-18-P4; KT92-17; KT92-17_PC16; KT92-17_St14; Lakshadweep Sea; LATITUDE; Leg108; Leg121; Leg130; Leg138; Leg162; Leg167; Leg175; Leg181; Leg90; Le Noroit; Le Suroît; LONGITUDE; M11/1; M12/1; M12392-1; M17/2; M23414; M25; M31/3; M31/3-107_GC; M37/1; M53; M53_169; M53_172; M57; M6/5; M6/6; M60; M65; M65/1; M9/4; Maria S. Merian; Marion Dufresne (1972); Marion Dufresne (1995); MATACORE; Maurice Ewing; MD02-2588; MD02-2588Q; MD062986; MD06-2986; MD06-3018; MD07-3076; MD07-3076Q; MD07-3119; MD128; MD13; MD152; MD159; MD77-171; MD77-194; MD77-203; MD79-254; MD79-256; MD88-769; MD88-770; Meteor (1964); Meteor (1986); Meteor Rise; MIDLANTE2; Moana Wave; MSM20/3; MUC; MultiCorer; MW9109; MW9109-13BC; MW9109-16BC; MW9109-33BC; MW9109-37BC; MW9109-53BC; MW9109-58BC; MW9109-59BC; MW9109-63BC; MW9109-66BC; MW9109-7BC; NO77/79; NO82-13; North Atlantic; Northeast Atlantic; North Pacific Ocean; Norwegian Sea; Number of samples; off West Africa; OSIRIS4; OSIRIS III; Pacific; Pacific Ocean; PALEOCINAT; PC; PE_MR97-4-3; pH; Philippine Sea; Photo grab; Piston corer; Piston corer (Kiel type); PO200-10-28-1; Polarstern; POS200/10; POS200/10_28-1; POS200/10_8-2; POS210/2; Poseidon; PS08; PS12; PS12/555; PS16; PS16/262; PS16/267; PS16/271; PS16/303; PS16/306; PS16/329; PS16/334; PS1653-2; PS1750-7; PS1751-2; PS1752-5; PS1764-2; PS1765-1; PS1774-1; PS1775-5; PS18; PS18/229; PS18/231; PS18/232; PS18/237; PS18/244; PS18/257; PS18/261; PS18/262; PS18/264; PS2073-1; PS2075-3; PS2076-1; PS2081-1; PS2087-1; PS2099-1; PS2103-2; PS2104-1; PS2106-1; PS2498-1; PS28; PS28/304; Q208; Q213; Q581; R623; R657; RAMA; RAMA03WT; RAMA-44P; RC12; RC12-225; RC13; RC13-110; RC15; RC15-52; RC16; RC16-119; RC16-84; Reference/source; RNDB-11GGC; RNDB-11PC; RNDB-12GGC; RNDB-13GGC; RNDB-14GGC; RNDB-15GGC; RNDB-16GGC; RNDB-1GGC; RNDB-2GGC; RNDB-3GGC; RNDB-5GGC; RNDB-6GGC; RNDB-7GGC; RNDB-8GGC; Robert Conrad; RS67-GC13; RS67-GC16; RS67-GC27; RS67-GC3; RS78-GC18; S924; S925; S938; Salinity; Shona Ridge; Sierra Leone Basin/Guinea Basin; SK129-CR2; SK157_GC_14; SL; SO102/2; SO136; SO136_003GC; SO36/2; SO36/2_17SL; SO36/2_7SL; SO80_2; SO80a; Sonne; South Atlantic; South Atlantic Ocean; Southern East Pacific Rise; Southern Ocean; South Pacific; South Pacific/CONT RISE; South Pacific Ocean; South Tasman Rise; SPC; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Sphincter corer; SU81-32; SU90-03; SU90-11; SU90-39; SUBTROPEX 82; SWAF; Tansei Maru; TASQWA; Temperature, water; Thomas Washington; TTN057-6; U938; U951; Uniform resource locator/link to source data file; V18; V18-222; V19; V19-27; V19-41; V19-55; V20; V20-133; V24; V24-253; V25; V25-59; V28; V28-14; V29; V29-135; V30; V30-49; VA-10/3; Valdivia (1961); Van Heesen Ridge; van Veen Grab; Vema; Vema Channel; VGRAB; Vi-26BC; Vi-35GC; Vi-37GC; VINO-26BC; VINO-35GGC; VINO-37GGC; W266; W268; W272; W8402A; W8402A-14; Walvis Ridge; Wecoma; Δδ13C; Δδ18O; δ13C, dissolved inorganic carbon; δ18O; δ18O, seawater, reconstructed; ẟ13C; ẟ18O
    Type: Dataset
    Format: text/tab-separated-values, 7877 data points
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  • 10
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    Bulk parameters of sediment core La_Plata_River_plume (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Keywords: AGE; Benthic foraminifera; Calcium carbonate; DEPTH, sediment/rock; GC; Gravity corer; La_Plata_River_plume; La Plata River; lipid biomarkers; Paleotemperature; Size fraction 〈 0.063 mm, mud, silt+clay; southern Brazil
    Type: Dataset
    Format: text/tab-separated-values, 506 data points
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