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  • 1
    Publication Date: 2024-06-06
    Description: Paleoclimate records from the Middle East are sparse in comparison to other regions. The records as such could be useful to improve our understanding of natural variability in atmospheric circulation patterns. In particular, there are no paleoclimate studies in Iran that span the transition from the Last Glacial Maximum (LGM) to the Holocene based on speleothems. In light of the significant changes in the global climate since the last glacial period (LGM to Early Holocene), it is useful to examine regional climate variability during this time period to gain a better understanding of the climate sensitivity of different areas. In this study we report the first stalagmite records spanning the LGM and the corresponding deglacial transition in southwestern Iran. The sample was collected from Sibaki cave (29֯ 48' 54" N, 51֯ 35' 47" E) in southwestern Zagros, Iran. The cave entrance opens at 1275 m a.s.l. on a NE-facing slope of 1275 m a.s.l. There were no active drips onto SIB-4 when the stalagmite was collected in February 2019.
    Keywords: d13C; d18O; Iran; stalagmite; U-Th dating
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 2
    Publication Date: 2024-06-06
    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 of Baltic cod 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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  • 3
    Publication Date: 2024-06-06
    Description: This data contains monitoring data of the RV ALKOR cruise AL585 conducted in January 2023 (January 23rd – January 31st) 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: AL585; AL585_30-1; AL585_37-1; AL585_38-1; AL585_39-1; AL585_40-2; AL585_41-2; AL585_42-1; AL585_43-1; AL585_44-2; AL585_45-2; AL585_46-1; AL585_47-1; AL585_49-1; AL585_58-1; AL585_59-1; AL585_61-1; AL585_62-1; AL585_63-1; AL585_64-1; AL585_67-1; AL585_68-1; AL585_70-1; AL585_72-1; AL585_73-1; Alkor (1990); 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 of Baltic cod 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; TRAWL; Trawl net; Western Baltic Sea; winter
    Type: Dataset
    Format: text/tab-separated-values, 3619 data points
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  • 4
    Publication Date: 2024-06-06
    Description: The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2023 by the PermaSense project. This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 231.6 million data points. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. This data set provides primary data products as well as derived data products: GNSS raw data: GNSS observables in the form of daily RINEX 2.11 files GNSS derived data products: Daily positions computed using double-differencing GNSS processing Timelapse images: High-resolution visible light images Timeseries data raw: Per-year and location files or raw sampled data: Weather station, ground temperature, ground resistivity, fracture displacement and inclinometer data Timeseries derived data products: Cleaned and aggregated hourly values of the above Timeseries sanity plots: Standardized plots to obtain a visual overview and check data. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch. The version/tag used for the 2024 edition of the Matterhorn data is https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr/-/tree/Release_Pangaea_MH_data_2023.
    Keywords: Binary Object; File content; Long-term monitoring; Matterhorn_Hoernligrat; Matterhorn, Switzerland; Mountain Permafrost; MULT; Multiple investigations; Natural hazards; Wireless sensors
    Type: Dataset
    Format: text/tab-separated-values, 46 data points
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  • 5
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; P6_246_HAMAG_2024_2402130301; P6-246_HAMAG_2024; POLAR 6
    Type: Dataset
    Format: application/zip, 361.7 kBytes
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  • 6
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; P6_246_HAMAG_2024_2402190601; P6-246_HAMAG_2024; POLAR 6
    Type: Dataset
    Format: application/zip, 1 MBytes
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  • 7
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; P6_246_HAMAG_2024_2402150401; P6-246_HAMAG_2024; POLAR 6
    Type: Dataset
    Format: application/zip, 776.3 kBytes
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  • 8
    Publication Date: 2024-06-06
    Description: A full-factorial experiment was used to study whether ocean acidification increases mortality in subtidal Mytilus trossulus and subtidal M. galloprovincialis, and intertidal M. trossulus following sub-zero air temperature exposure. We examined physiological processes behind variation in freeze tolerance using 1H NMR metabolomics, analyses of fatty acids, and amino acid composition. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were downloaded from Zenodo (see Source) by the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-05-08.
    Keywords: Acetate, per wet mass; Acetoacetate; Adenosine monophosphate, per wet mass; Alanine; Alkalinity, total; Amino acids; Animalia; Aragonite saturation state; Arginine; Asparagine; Aspartate; Benthic animals; Benthos; beta-Alanine; Betaine; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Burrard_Inlet_JRVYC; Burrard_Inlet_Tower_Beach; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Event label; EXP; Experiment; Fatty acids; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutamate; Glycine; Guanidoacetate; Individuals; Laboratory experiment; Lactate, per wet mass; Lysine; Malate, per wet mass; Malonate; Mass; Mollusca; Monounsaturated fatty acids of total fatty acids; Mortality/Survival; Mytilus galloprovincialis; Mytilus trossulus; Name; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Polyunsaturated fatty acids of total fatty acids; Proline; Salinity; Saltspring_Island; Sample ID; Saturated fatty acids of total fatty acids; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Succinate, per wet mass; Taurine; Temperate; Temperature, air; Temperature, water; Treatment; Trimethylamine; Trimethylamine N-oxide; Type; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 13047 data points
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  • 9
    Publication Date: 2024-06-06
    Keywords: Age, 14C conventional; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; CALYPSO2; Calypso Corer II; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Eruption; IMAGES XV - Pachiderme; Marion Dufresne (1995); MD07-3088; MD159; Origin; Reference/source; Reservoir effect/correction; Reservoir effect/correction, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 139 data points
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  • 10
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; P6_246_HAMAG_2024_2402090101; P6-246_HAMAG_2024; POLAR 6
    Type: Dataset
    Format: application/zip, 980.3 kBytes
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  • 11
    Publication Date: 2024-06-06
    Keywords: BC; BCR; Box corer; Box corer (Reineck); Depth, bathymetric; DEPTH, sediment/rock; GAP; GeoB9014-1; Giant box corer; GKG; Gravity corer (Kiel type); LATITUDE; LONGITUDE; M39/1; M39/1_02-3; M39/1_03-2; M39/1_04-2; M39/1_16-2; M39/1_17-4; M39/1_21-5; M39/1_22-3; M39/1_23-3; M39/1_29-6; M39/1_35-3; M39/1_58-1; M39/1_59-2; M39/1_70-1; M39/1_72-1; M39021-5; M39058-1; M39059-2; M39070-1; M39072-1; MARFLUX; Meteor (1986); Modern analog technique (MAT); Modern analog technique (MAT), SIMMAX28, non-distance-weighted; MUC; MultiCorer; Multicorer with television; North Atlantic; off Portugal; PALEO 1; Portuguese Margin; POS200/10; POS200/10_1-2; POS200/10_3-1; POS200/10_5-1; POS200/10_5-2; POS287; POS287_05-1B; POS287_08-1B; POS287_13-1B; POS287_15-1B; POS287_19-1B; POS287_21-1B; POS287_26-1B; POS287_27-1B; POS287_28-1B; POS287_33-1B; POS287_34-1B; POS287_40-1B; POS287_41-1B; Poseidon; Sample code/label; Sea surface temperature, summer; Sea surface temperature, summer residual; Sea surface temperature, winter; Sea surface temperature, winter residual; SL; SO10GK; SO11GK; SO175; SO75/3; SO75/3_13KG; SO75/3_15KG; SO75/3_25KG; SO75/3_30KG; SO75/3_33KG; SO75/3_9KG; SO7GK; SO83; SO83_10GK; SO83_11GK; SO83_7GK; Sonne; Transfer function (Imbrie & Kipp, 1971, in Turekian, Yale Univ Press); TVMUC
    Type: Dataset
    Format: text/tab-separated-values, 1876 data points
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  • 12
    Publication Date: 2024-06-06
    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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  • 13
    Publication Date: 2024-06-06
    Keywords: AGE; Age, dated; Age, dated material; Age, dated standard error; DEPTH, sediment/rock; Gravity corer (Kiel type); PO200-10-21-1; POS200/10; POS200/10_21-1; Poseidon; SL
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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  • 14
    Publication Date: 2024-06-06
    Keywords: AGE; DEPTH, sediment/rock; Gravity corer (Kiel type); POS200/10; POS200/10_8-2; Poseidon; Reference/source; Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 15
    Publication Date: 2024-06-06
    Keywords: Calcium carbonate; Carbon, organic, total; Carbonates; DEPTH, sediment/rock; Gravity corer (Kiel type); Lithic grains; Nitrogen, total; PO200-10-21-1; POS200/10; POS200/10_21-1; Poseidon; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; SL
    Type: Dataset
    Format: text/tab-separated-values, 261 data points
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  • 16
    Publication Date: 2024-06-06
    Keywords: Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Giant box corer; GKG; Nitrogen, total; Phosphorus pentoxide; POS200/10; POS200/10_5-1; Poseidon; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 17
    Publication Date: 2024-06-06
    Keywords: Calcium carbonate; Carbon, organic, total; Carbonates; DEPTH, sediment/rock; Dolomite; GC; Gravity corer; Lithic grains; Nitrogen, total; Phosphorus pentoxide; POS200/10; POS200/10_6-2; Poseidon; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand
    Type: Dataset
    Format: text/tab-separated-values, 633 data points
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  • 18
    Publication Date: 2024-06-06
    Keywords: Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Giant box corer; GKG; Phosphorus pentoxide; POS200/10; POS200/10_7-1; Poseidon; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
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  • 19
    Publication Date: 2024-06-06
    Keywords: DEPTH, sediment/rock; Giant box corer; GKG; Globigerina bulloides, δ13C; Globigerina bulloides, δ13C standard deviation; Globigerina bulloides, δ18O; Globigerina bulloides, δ18O standard deviation; POS200/10; POS200/10_6-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 20
    Publication Date: 2024-06-06
    Keywords: Cibicides wuellerstorfi, δ13C; Cibicides wuellerstorfi, δ13C standard deviation; Cibicides wuellerstorfi, δ18O; Cibicides wuellerstorfi, δ18O standard deviation; Comment; DEPTH, sediment/rock; GC; Globigerina bulloides, δ13C; Globigerina bulloides, δ13C standard deviation; Globigerina bulloides, δ18O; Globigerina bulloides, δ18O standard deviation; Globigerina inflata, δ13C; Globigerina inflata, δ13C standard deviation; Globigerina inflata, δ18O; Globigerina inflata, δ18O standard deviation; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ13C standard deviation; Globigerinoides ruber white, δ18O; Globigerinoides ruber white, δ18O standard deviation; Gravity corer; Planulina spp., δ13C; Planulina spp., δ13C standard deviation; Planulina spp., δ18O; Planulina spp., δ18O standard deviation; POS200/10; POS200/10_6-2; Poseidon; Uvigerina spp., δ13C; Uvigerina spp., δ13C standard deviation; Uvigerina spp., δ18O; Uvigerina spp., δ18O standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 21
    Publication Date: 2024-06-06
    Keywords: Beella digitata; DEPTH, sediment/rock; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic, arctic; Foraminifera, planktic, other; Foraminifera, planktic, subarctic; Foraminifera, planktic, subtropical; Foraminifera, planktic, transitional; Foraminifera, planktic, tropical; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia truncatulinoides; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Gravity corer (Kiel type); Hastigerina pelagica; Hastigerina siphonifera; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; PO200-10-28-1; POS200/10; POS200/10_28-1; Poseidon; SL; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Turborotalita quinqueloba; Uvigerina spp.
    Type: Dataset
    Format: text/tab-separated-values, 1215 data points
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  • 22
    Publication Date: 2024-06-06
    Keywords: Beella digitata; DEPTH, sediment/rock; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic indeterminata; Giant box corer; GKG; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia truncatulinoides; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Hastigerina siphonifera; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; POS200/10; POS200/10_5-1; Poseidon; Pulleniatina obliquiloculata; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Turborotalita quinqueloba; Uvigerina spp.
    Type: Dataset
    Format: text/tab-separated-values, 585 data points
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  • 23
    Publication Date: 2024-06-06
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; DEPTH, sediment/rock; Le Suroît; North Atlantic; PALEOCINAT; PC; Piston corer; SU90-08
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 24
    Publication Date: 2024-06-06
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; DEPTH, sediment/rock; Le Suroît; North Atlantic; PALEOCINAT; PC; Piston corer; SU90-03
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 25
    Publication Date: 2024-06-06
    Description: Individual PCB congener in air using polyurethane foam passive air sampler (i.e., PUF-PAS)
    Keywords: airborne concentration; congeners; Date/time end; Date/time start; effective volumes; Event label; Individual PCB congener in air using polyurethane foam passive air sampler (i.e., PUF-PAS); Massachusetts, U.S.A., North America; Method comment; MULT; Multiple investigations; NBH1; NBH10; NBH11; NBH12; NBH13; NBH15; NBH16; NBH17; NBH18; NBH19; NBH2; NBH3; NBH4; NBH5; NBH6; NBH7; NBH8; NBH9; New Bedford; PCB; Polychlorinated biphenyl in air; Superfund
    Type: Dataset
    Format: text/tab-separated-values, 12354 data points
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  • 26
    Publication Date: 2024-06-06
    Description: Determination of LOQ for individual PCB congeners obtained from 13 and 5 blank PUFs for sampling periods 1-3 and sampling period 4, respectively, analyzed as samples
    Keywords: airborne concentration; congeners; Detection level; effective volumes; Method comment; New Bedford; PCB; Polyurethane foam passive air sampler (i.e., PUF-PAS); Superfund
    Type: Dataset
    Format: text/tab-separated-values, 344 data points
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  • 27
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1036800 data points
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  • 28
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 704640 data points
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  • 29
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 691200 data points
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  • 30
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    Unknown
    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1028172 data points
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  • 31
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    Unknown
    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1036800 data points
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  • 32
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1055568 data points
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  • 33
    Publication Date: 2024-06-06
    Description: Depth, temperature, and conductivity were recorded during the Bathypelagic cruise (from 24th May to 23rd June 2018,) using a SeaBird SBE 25plus CTD, the dissolved oxygen with a Seabird-43 sensor both attached to an oceanographic rosette from surface to a maximum depth of 2000 m, and the fluorometer with a Seapoint sensor in the upper 200 m depth.
    Keywords: 1; 10; 2; 29SG20180524; 3; 4; 5; 6; 7; 8; 9; bathypelagic; BATHYPELAGIC; BATHYPELAGIC_01-1; BATHYPELAGIC_02-1; BATHYPELAGIC_03-1; BATHYPELAGIC_04-1; BATHYPELAGIC_05-1; BATHYPELAGIC_06-1; BATHYPELAGIC_07-1; BATHYPELAGIC_08-1; BATHYPELAGIC_09-1; BATHYPELAGIC_10-1; biological carbon pump; Biomass and Active Flux in the Bathypelagic Zone; Carbon; Chlorophyll a; Chlorophyll fluorometer, Seapoint, Seapoint chlorophyll fluorometer; CTD, Sea-Bird, SBE 25plus; Date/Time of event; DEPTH, water; Event label; fish; ICM_Excellence_Centre; Latitude of event; Longitude of event; mesopelagic; North Atlantic; Northeast Atlantic; Optional event label; Oxygen, dissolved; Oxygen sensor, SBE 43; remineralization; respiration flux; Salinity; Sarmiento de Gamboa; Severo Ochoa Centre of Excellence; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management
    Type: Dataset
    Format: text/tab-separated-values, 61749 data points
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  • 34
    Publication Date: 2024-06-06
    Keywords: Beella digitata; DEPTH, sediment/rock; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia truncatulinoides; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Gravity corer (Kiel type); Hastigerina siphonifera; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; POS200/10; POS200/10_8-2; Poseidon; SL; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Turborotalita quinqueloba; Uvigerina spp.
    Type: Dataset
    Format: text/tab-separated-values, 1172 data points
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  • 35
    Publication Date: 2024-06-06
    Keywords: AGE; DEPTH, sediment/rock; Giant box corer; GKG; POS200/10; POS200/10_6-1; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 0 data points
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  • 36
    Publication Date: 2024-06-06
    Keywords: AGE; DEPTH, sediment/rock; Gravity corer (Kiel type); PO200-10-28-1; POS200/10; POS200/10_28-1; Poseidon; Reference/source; Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
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  • 37
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1071360 data points
    Location Call Number Expected Availability
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  • 38
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1036800 data points
    Location Call Number Expected Availability
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  • 39
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1071356 data points
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  • 40
    Publication Date: 2024-06-06
    Description: Individual PCB congener effective volume (m3) (Herkert et al., 2016)
    Keywords: airborne concentration; congeners; Date/time end; Date/time start; effective volumes; Identification; Massachusetts, U.S.A., North America; Method comment; MULT; Multiple investigations; New Bedford; New-Bedford; New Bedford, New Bedford Regional Airport; PCB; Polychlorinated biphenyl, effective volume; Polyurethane foam passive air sampler (i.e., PUF-PAS); Superfund
    Type: Dataset
    Format: text/tab-separated-values, 700 data points
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  • 41
    Publication Date: 2024-06-06
    Description: Individual PCB congener mass detected in polyurethane foam passive air sampler (i.e., PUF-PAS) using GC-MS/MS
    Keywords: airborne concentration; congeners; Date/time end; Date/time start; effective volumes; Event label; Massachusetts, U.S.A., North America; Method comment; MULT; Multiple investigations; NBH1; NBH10; NBH11; NBH12; NBH13; NBH15; NBH16; NBH17; NBH18; NBH19; NBH2; NBH3; NBH4; NBH5; NBH6; NBH7; NBH8; NBH9; New Bedford; PCB; Polychlorinated biphenyl in polyurethane foam; Polyurethane foam passive air sampler (i.e., PUF-PAS); Superfund
    Type: Dataset
    Format: text/tab-separated-values, 12354 data points
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  • 42
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1071360 data points
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  • 43
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1036768 data points
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  • 44
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1071360 data points
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  • 45
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1036800 data points
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  • 46
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140209, WRMC No. 9040; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1071360 data points
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  • 47
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Eppley, NIP, SN 16418, WRMC No. 9002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1002240 data points
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  • 48
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    PANGAEA
    In:  Tartu Observatoorium, Toravere
    Publication Date: 2024-06-06
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Estonia; HEIGHT above ground; Kipp & Zonen, SMP21-V, SN 170011, WRMC No. 9043; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 080074, WRMC No. 9041; Pyranometer, Kipp & Zonen, CMP21, SN 140442, WRMC No. 9042; Pyrgeometer, Eppley, PIR, SN 26802F3, WRMC No. 9037; Pyrgeometer, Kipp & Zonen, CGR4, SN 130660, WRMC No. 9039; Pyrheliometer, Eppley, NIP, SN 16418, WRMC No. 9002; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; TOR; Toravere
    Type: Dataset
    Format: text/tab-separated-values, 1070192 data points
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  • 49
    Publication Date: 2024-06-06
    Keywords: AGE; Age, 14C calibrated, IntCal13 (Reimer et al., 2013); Age, error; Anadyr_339-YuV; Anadyr_YuV-17; Calendar age, maximum/old; Calendar age, minimum/young; Chukotka; Chukotka, Russia; DEPTH, sediment/rock; Event label; Holocene; ice‐wedge; Laboratory code/label; Latitude of event; Lavrentiya_16-M; Location; Longitude of event; Lorino_15-L; Lorino_16-M; Lorino_17-M; radiocarbon; Sample ID; stable water isotopes; winter air paleotemperature
    Type: Dataset
    Format: text/tab-separated-values, 105 data points
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  • 50
    Publication Date: 2024-06-06
    Description: The effect of different nitrogen sources (Experiment 1: N-deplete, NO3-, NH4+, Urea) and different light intensities (Experiment 2: 20, 100 and 200 μmol photons m-2 s-1) on the growth response and toxin content of Alexandrium pseudogonyaulax, isolated in 2020 from the Danish Limfjord, were investigated by means of bottle incubation experiments. In the 2nd experiment, the pigment content and photophysiological response of A. pseudogonyaulax was additionally assessed. The 1st experiment was started on the 18th October 2021 and finished on the 13th December 2021, while the 2nd experiment was started on the 16th March 2022 and finished on the 14th April 2022. This dataset contains all data collected within the two experiments, including cell counts, cell sizes, goniodomin A toxin contents, particular organic carbon and nitrogen, pigment contents (only exp. 2) and photophysiological parameters (only exp. 2).
    Keywords: Alexandrium sp.; bottom-up; growth; Laboratory experiment; Light; Nitrogen; photophysiology; phycotoxins
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 51
    Publication Date: 2024-06-06
    Description: The data set includes sedimentological data (grain size distribution, facies compositions & radiocarbon ages) and satellite imagery data (shoreline analysis) of the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922). The subsequent analysis of grain size statistics was done in GRADISTAT v9.1 (Blott & Pye, 2001). The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction. These results were then used to calculate the relative proportions in each sample. A total of 20 radiocarbon ages from AMS dating were calibrated using OxCal online v4.4 (Bronk Ramsey, 2009), with the MARINE20 curve (Heaton et al., 2020) and a regional reservoir correction of deltaR= 0+-0 as suggested by Southon et al. (2002). The shoreline analysis is based on satellite image data (1999-2023; acquired from multiple sources, see data set for detailed description) and was analyzed with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Carbonate Sedimentology; Facies; Grain Size; Holocene; radiocarbon age; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 52
    Publication Date: 2024-06-06
    Keywords: Aluminium oxide; Barium; Beella digitata; Beryllium; Calcium carbonate; Calcium oxide; Carbon, organic, total; Carbonates; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Copper; Counting 〉150 µm fraction; DEPTH, sediment/rock; Dolomite; Element analyser CHN; Element analysis, Hulsemann, followed by XRD; Foraminifera, benthic; Foraminifera, planktic indeterminata; GC; Globigerina bulloides; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Globigerinoides sacculifer; Globigerinoides tenellus; Globigerinoides trilobus-quadrilobatus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata, δ13C; Globorotalia inflata, δ18O; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Grain size, pipette analysis; Grain size, sieving; Gravity corer; Hastigerina siphonifera; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron oxide, Fe2O3; Isotope ratio mass spectrometry; Magnesium oxide; Manganese oxide; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Orbulina bilobata; Orbulina suturalis; Orbulina universa; Phosphorus pentoxide; POS200/10; POS200/10_6-2; Poseidon; Potassium oxide; Sand; Scandium; Silicon dioxide; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Sodium oxide; Strontium; Titanium dioxide; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Uvigerina sp.; Uvigerina sp., δ13C; Uvigerina sp., δ18O; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 3867 data points
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  • 53
    Publication Date: 2024-06-06
    Description: In March 2020, two parallel sediment cores ETL-C3 and ETL-C4 (12.38589°N, 107.95399°E) were recovered from Ea Tyn Lake (Vietnam) using a Livingston/Bolivia-style customized piston corer. The cores represent sequences of 1-m segments with a vertical offset of ~50 cm between cores to ensure a complete record without gaps between successive segments. The two cores were visually correlated based on marker layers producing an ETL master sequence with a total length of 877 cm (sedimentary units 1-14). The core was scanned at 1 cm resolution with an Avaatech X-ray Fluorescence (XRF) core scanner and the raw data presented here is displayed as element counts per second (cps). RGB colour values were taken with a digital line scan camera to depict colour variation with depth. RGB colors were tranformed into the CIELAB color space using convertColor in the R-package grDevices. Principal component analysis (PCA) was performed using the basic-R function prcomp. The chronology is based on 12 AMS radiocarbon (14C) dates derived from plant macrofossils and measured at the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility. The age-depth-model was produced based on the 12 14C dates and 4 137Cs dates using the R-package rbacon. The core sequence covers the last 1250 years cal BP and reflects long-term monsoon variability (Rb/Sr ratio) and drought events (PC2) in the throughout the respective time window of the core.
    Keywords: drought; Geochemistry; Lake sediment core; Late Holocene; Monsoon; palaeoclimate; Southeast Asia; XRF
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 54
    Publication Date: 2024-06-06
    Keywords: Aluminium oxide; Barium; Beella digitata; Beryllium; Calcium carbonate; Calcium oxide; Carbonates; Copper; Counting 〉150 µm fraction; DEPTH, sediment/rock; Dolomite; Element analysis, Hulsemann, followed by XRD; Foraminifera, benthic; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinita glutinata; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Globorotalia hirsuta; Globorotalia truncatulinoides dextral; Grain size, pipette analysis; Grain size, sieving; Gravity corer (Kiel type); Hastigerina siphonifera; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron oxide, Fe2O3; Isotope ratio mass spectrometry; Magnesium oxide; Manganese oxide; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina universa; Phosphorus pentoxide; PO200-10-21-1; POS200/10; POS200/10_21-1; Poseidon; Potassium oxide; Sand; Scandium; Silicon dioxide; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sodium oxide; Strontium; Titanium dioxide; Turborotalia inflata; Turborotalia scitula; Uvigerina sp.; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1298 data points
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  • 55
    Publication Date: 2024-06-06
    Keywords: Aluminium oxide; Barium; Beella digitata; Beryllium; Calcium carbonate; Calcium oxide; Carbon, organic, total; Carbonates; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Copper; Counting 〉150 µm fraction; DEPTH, sediment/rock; Dolomite; Element analyser CHN; Element analysis, Hulsemann, followed by XRD; Foraminifera, benthic; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Globigerinoides sacculifer; Globigerinoides tenellus; Globigerinoides trilobus-quadrilobatus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata, δ13C; Globorotalia inflata, δ18O; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Grain size, pipette analysis; Grain size, sieving; Gravity corer (Kiel type); Hastigerina pelagica; Hastigerina siphonifera; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron oxide, Fe2O3; Isotope ratio mass spectrometry; Magnesium oxide; Manganese oxide; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; Phosphorus pentoxide; PO200-10-28-1; POS200/10; POS200/10_28-1; Poseidon; Potassium oxide; Sand; Scandium; Silicon dioxide; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sodium oxide; Strontium; Titanium dioxide; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Uvigerina sp.; Uvigerina sp., δ13C; Uvigerina sp., δ18O; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1873 data points
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  • 56
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    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-06-06
    Keywords: AL374; AL374-track; Alkor (1990); CT; Depth, bathymetric; ECO2; LATITUDE; LONGITUDE; Sleipner; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Swath-mapping system SeaBeam 1000 (L-3 ELAC Nautik); Underway cruise track measurements; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator
    Type: Dataset
    Format: text/tab-separated-values, 1039540 data points
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  • 57
    Publication Date: 2024-06-06
    Keywords: Aluminium oxide; Barium; Beella digitata; Beryllium; Calcium carbonate; Calcium oxide; Carbon, organic, total; Carbonates; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Copper; Counting 〉150 µm fraction; DEPTH, sediment/rock; Dolomite; Element analyser CHN; Element analysis, Hulsemann, followed by XRD; Foraminifera, benthic; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Globigerinoides sacculifer; Globigerinoides tenellus; Globigerinoides trilobus-quadrilobatus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata, δ13C; Globorotalia inflata, δ18O; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Grain size, pipette analysis; Grain size, sieving; Gravity corer (Kiel type); Hastigerina pelagica; Hastigerina siphonifera; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron oxide, Fe2O3; Isotope ratio mass spectrometry; Magnesium oxide; Manganese oxide; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; Phosphorus pentoxide; POS200/10; POS200/10_32-2; Poseidon; Potassium oxide; Sand; Scandium; Silicon dioxide; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sodium oxide; Strontium; Titanium dioxide; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Uvigerina sp.; Uvigerina sp., δ13C; Uvigerina sp., δ18O; Vanadium; X-ray fluorescence (XRF); Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2400 data points
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  • 58
    Publication Date: 2024-06-06
    Keywords: Gravity corer (Kiel type); PO200-10-21-1; POS200/10; POS200/10_21-1; Poseidon; SL
    Type: Dataset
    Format: unknown
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  • 59
    Publication Date: 2024-06-06
    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 contains cod stomach content data. Stomachs of cod were taken during single fish parameter measurements directly on board. Stomachs were immediately frozen on -20°C and subsequently analysed in the laboratory of the University of Hamburg. Cod stomach samples were defrosted and adherent veins were carefully removed from the outer stomach tissue. Adherent water was removed for approximately 5 seconds with paper tissues and stomachs were weighted (accuracy: 0.001 g). Subsequently, stomachs were opened, and the contents and mucus were removed before the empty stomachs weights were recorded. Stomach content weights were derived from the differences between full and empty stomach weights. Prey organisms were identified to species level (mostly fish, and decapods), order level (e.g. for Peracarida), class level (e.g. for Echinodermata, Mollusca), or only to phylum level (e.g. for Annelida). If the digestion of the prey was already progressed too far to allow identification to the levels described above, items were allocated to the categories unidentified fish, unidentified crustaceans or unidentified invertebrates.
    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; Comment; 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 of event; Event label; Field measurements; Fishing rod; FR; Gadus morhua; Individual ID; Latitude of event; Longitude of event; Number of prey; Prey, length; Prey, mass; Prey digestion level; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; SpaCeParti; Species, unique identification; Species, unique identification (URI); Station label; Stomach, wet mass; Stomach content; Stomach content, wet mass; sustainMare; The Little Belt; TRAWL; Trawl net; VID; Visual identification; Western Baltic; winter
    Type: Dataset
    Format: text/tab-separated-values, 2137 data points
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  • 60
    Publication Date: 2024-06-06
    Description: This data set comprises CTD 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.
    Keywords: AL568/b_10-1; AL568/b_1-1; AL568/b_11-1; AL568/b_11-2; AL568/b_1-2; AL568/b_12-1; AL568/b_13-1; AL568/b_13-2; AL568/b_14-1; AL568/b_15-1; AL568/b_15-2; AL568/b_16-1; AL568/b_16-2; AL568/b_17-1; AL568/b_17-2; AL568/b_18-1; AL568/b_18-2; AL568/b_19-1; AL568/b_19-2; AL568/b_19-3; AL568/b_20-1; AL568/b_20-2; AL568/b_2-1; AL568/b_21-1; AL568/b_21-2; AL568/b_2-2; AL568/b_22-1; AL568/b_22-2; AL568/b_23-1; AL568/b_23-2; AL568/b_24-1; AL568/b_24-2; AL568/b_25-1; AL568/b_25-2; AL568/b_26-1; AL568/b_27-1; AL568/b_27-2; AL568/b_27-3; AL568/b_28-1; AL568/b_28-2; AL568/b_29-1; AL568/b_29-2; AL568/b_30-1; AL568/b_30-2; AL568/b_3-1; AL568/b_31-1; AL568/b_31-2; AL568/b_3-2; AL568/b_32-1; AL568/b_32-2; AL568/b_32-3; AL568/b_3-3; AL568/b_33-1; AL568/b_33-2; AL568/b_34-1; AL568/b_34-2; AL568/b_35-1; AL568/b_35-2; AL568/b_36-1; AL568/b_36-2; AL568/b_37-1; AL568/b_37-2; AL568/b_38-1; AL568/b_38-2; AL568/b_39-1; AL568/b_40-1; AL568/b_40-2; AL568/b_4-1; AL568/b_41-1; AL568/b_41-2; AL568/b_41-3; AL568/b_4-2; AL568/b_42-1; AL568/b_42-2; AL568/b_43-1; AL568/b_43-2; AL568/b_44-1; AL568/b_44-2; AL568/b_45-1; AL568/b_45-2; AL568/b_46-1; AL568/b_46-2; AL568/b_47-1; AL568/b_47-2; AL568/b_48-1; AL568/b_48-2; AL568/b_48-3; AL568/b_49-1; AL568/b_49-2; AL568/b_50-1; AL568/b_50-2; AL568/b_5-1; AL568/b_51-1; AL568/b_51-2; AL568/b_52-1; AL568/b_53-1; AL568/b_54-1; AL568/b_54-2; AL568/b_55-1; AL568/b_56-1; AL568/b_57-1; AL568/b_57-2; AL568/b_58-1; AL568/b_59-1; AL568/b_60-1; AL568/b_6-1; AL568/b_61-1; AL568/b_6-2; AL568/b_62-1; AL568/b_62-2; AL568/b_7-1; AL568/b_7-2; AL568/b_8-1; AL568/b_8-2; AL568/b_9-1; AL568/b_9-2; AL568/b_9-3; AL568b; Alkor (1990); Baltic Sea; BONGO; Bongo net; Chlorophyll a; cod monitoring data; Conductivity; Cruise/expedition; CTD/Rosette; CTD-RO; 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; Density, sigma-theta (0); DEPTH, water; Depth comment; Event label; Field measurements; Fishing rod; FR; Gadus morhua; LATITUDE; LONGITUDE; MSN; Multiparameter probe (CTD), Sea & Sun Technology, CTD90M [Series II]; coupled with Fluorometer, Turner Designs, Cyclops-7 [for Chlorphyll a]; coupled with Oxygen sensor, AMT Analysenmesstechnik GmbH; Multiple opening/closing net; Oxygen, dissolved; Oxygen saturation; pH; Pressure, water; Record number; Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas; RV ALKOR; Salinity; SpaCeParti; Station label; sustainMare; Temperature, water; The Great Belt; The Little Belt; TRAWL; Trawl net; Western Baltic; winter
    Type: Dataset
    Format: text/tab-separated-values, 570063 data points
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  • 61
    Publication Date: 2024-06-06
    Description: This data contains monitoring data of the RV ALKOR cruise AL549 conducted in January 2021 (January 25th – 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: AL549; AL549_18-1; AL549_20-1; AL549_26-1; AL549_28-1; AL549_36-1; AL549_38-1; AL549_47-2; AL549_49-1; AL549_5-1; AL549_7-1; 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 of Baltic cod according to Tomkiewicz et al. (2002); Event label; Fish measuring board; 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; TRAWL; Trawl net; Western Baltic; Western Baltic Sea; winter
    Type: Dataset
    Format: text/tab-separated-values, 399 data points
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  • 62
    Publication Date: 2024-06-06
    Description: Observations of the broadband solar and terrestrial, upward and downward irradiance were made by the Broadband AirCrAft RaDiometer Instrumentation (BACARDI) onboard the High Altitude LOng range research aircraft (HALO) during the HALO-(AC)³ campaign in March and April of 2022. BACARDI consists of two sets of Kipp and Zonen instruments - pyranometers (CMP-22) for the solar range (0.2 - 3.6 μm) and pyrgeometers (CGR-4) for the terrestrial range (4.5 - 42 μm). The data is provided at a measurement frequency of 10 Hz and has been corrected for dynamic temperature effects. More detailed information can be found in Ehrlich et al. (2023, https://doi.org/10.5194/amt-16-1563-2023). Observations of the downward solar irradiance are provided with and without a correction for the aircraft attitude, which corresponds to cloud-free and cloudy conditions above the aircraft. Furthermore, simulated, cloud-free downward solar irradiances are also given as a reference.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; broadband irradiance; Date/Time of event; Event label; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; irradiance; netCDF file; netCDF file (File Size); Optional event label; Radiometers, Kipp & Zonen, CMP22 (0.2-3.6 µm) and CGR4 (4.5-42 µm); RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; Solar irradiance; SPP1294; terrestrial irradiance
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
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  • 63
    Publication Date: 2024-06-06
    Description: During the HALO-(AC)³ campaign performed in March/April 2022, broadband solar and thermal-infrared irradiances in the vicinity of Svalbard were measured by pairs of CMP22 (0.2-3.6 µm) and CGR4 (4.5-42 µm) radiometers (Kipp&Zonen), respectively, onboard Polar 5 and Polar 6. The data set contains time series of both upward and downward solar and thermal-infrared irradiances obtained during in total 26 research flights (13 with each aircraft). All irradiances were corrected for instrument inertia (Ehrlich and Wendisch, 2015), the solar downward irradiance additionally for the aircraft attitude (Bannehr and Schwiesow, 1993). Since the latter correction is only valid for cloud-free conditions dominated by direct illumination, both a corrected and an uncorrected version are given. A rough cloud flag is included in the data set to distinguish between situations dominated by direct and diffuse illumination. To avoid too large uncertainties, the attitude flag can be used to filter situations with aircraft attitude angles (roll, pitch) exceeding 5°. Additionally, obvious icing and large temperature gradients, which disturb the thermal equilibrium between sensor and instrument body, are flagged. The data set further contains the solar downward irradiance simulated for cloud-free conditions and the upward brightness temperature measured by the KT-19 infrared thermometer (HEITRONICS, 9.6-11.5 µm).
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Broadband radiation; Campaign of event; Date/Time of event; Event label; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220320_P6_RF01; HALO-AC3_20220322_P5_RF02; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220322_P6_RF02; HALO-AC3_20220324_P6_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220326_P6_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220328_P6_RF05; HALO-AC3_20220329_P5_RF06; HALO-AC3_20220329_P5_RF07; HALO-AC3_20220329_P6_RF06; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220330_P6_RF07; HALO-AC3_20220401_P5_RF09; HALO-AC3_20220401_P6_RF08; HALO-AC3_20220404_P5_RF10; HALO-AC3_20220404_P6_RF09; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220405_P6_RF10; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220408_P6_RF11; HALO-AC3_20220409_P6_RF12; HALO-AC3_20220410_P5_RF13; HALO-AC3_20220410_P6_RF13; irradiance; netCDF file; netCDF file (File Size); P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220501; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203290901; P5_232_HALO_2022_2203291002; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204011201; P5_232_HALO_2022_2204041301; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; P6_231_HALO_2022_2203200401; P6_231_HALO_2022_2203220501; P6_231_HALO_2022_2203240601; P6_231_HALO_2022_2203260702; P6_231_HALO_2022_2203280801; P6_231_HALO_2022_2203290901; P6_231_HALO_2022_2203301001; P6_231_HALO_2022_2204011101; P6_231_HALO_2022_2204041201; P6_231_HALO_2022_2204051301; P6_231_HALO_2022_2204081401; P6_231_HALO_2022_2204091501; P6_231_HALO_2022_2204101601; P6-231_HALO_2022; Polar 5; POLAR 5; Polar 6; POLAR 6; Radiometers, Kipp & Zonen, CMP22 (0.2-3.6 µm) and CGR4 (4.5-42 µm)
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 64
    Publication Date: 2024-06-06
    Keywords: Age; AGE; Aluminium; Calcium; Chlorine; Chromium; Cobalt; Color, a; Color, b; Color, L; Color reflectance spectra, blue; Color reflectance spectra, green; Color reflectance spectra, red; Comment; convertColor, R-package; DEPTH, sediment/rock; drought; Ea Tyn Lake, Vietnam; ETL-C3; ETL-C4; Event label; Geochemistry; Iron; Lake sediment core; Late Holocene; Lead; Line Scan Camera; Manganese; Monsoon; palaeoclimate; PC; Piston corer; Potassium; Rubidium; Section; Section position; Silicon; Southeast Asia; Strontium; Sulfur; Titanium; Total counts rate; X-ray fluorescence core scanner (XRF), Avaatech; XRF; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 23084 data points
    Location Call Number Expected Availability
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  • 65
    Publication Date: 2024-06-06
    Description: The shoreline analysis of the reef island Langkai, SW Sulawesi, Indonesia is based on satellite images from 1999-2023. Transects (n=306) were used for shoreline analysis. Net shoreline movement and end point rate at each transect were calculated with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Carbonate Sedimentology; Change rate; Digital Shoreline Analysis System extension for ESRI ArcGIS, Thieler et al, 2009; Facies; Grain Size; Holocene; Langkai_sat; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; Net shoreline movement; radiocarbon age; Satellite imagery; SATI; Southeast Asia; Spermonde Archipelago; Transect number
    Type: Dataset
    Format: text/tab-separated-values, 1530 data points
    Location Call Number Expected Availability
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  • 66
    Publication Date: 2024-06-06
    Keywords: AGE; DEPTH, sediment/rock; drought; Ea Tyn Lake, Vietnam; ETL-C3; ETL-C4; Factor 1; Factor 2; Factor 3; Factor 4; Geochemistry; Lake sediment core; Late Holocene; Monsoon; palaeoclimate; PC; Piston corer; Southeast Asia; XRF
    Type: Dataset
    Format: text/tab-separated-values, 3320 data points
    Location Call Number Expected Availability
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  • 67
    Publication Date: 2024-06-06
    Description: The data set includes grain size distribution of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The grain size distribution was determined by dry-sieving of the bulk sample into fractions following Wentworth (1922).
    Keywords: AUG; Auger; Calculated average/mean values; Carbonate Sedimentology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dried and weighted; Dry sieving; Event label; Facies; Grain Size; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Sample ID; Sediment, dry mass; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 0.125-0.063 mm; Size fraction 0.250-0.125 mm; Size fraction 0.500-0.250 mm; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 16-8 mm, medium gravel; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; Size fraction 32-16 mm, coarse gravel, pebble; Size fraction 4.0-2.0 mm, very fine gravel, granule; Size fraction 8.0-4.0 mm, fine gravel; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
    Location Call Number Expected Availability
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  • 68
    Publication Date: 2024-06-06
    Description: The data set includes facies compositions of sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction.
    Keywords: Aggregates; AUG; Auger; Bioclasts; Bivalvia; Bryozoa; Calculated average/mean values; Carbonate Sedimentology; Coral; Counting, microscope; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Event label; Facies; Foraminifera; Gastropoda; Grain Size; Halimeda; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Rhodophyta; Sample ID; Serpulidae; Size fraction; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 3180 data points
    Location Call Number Expected Availability
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  • 69
    Publication Date: 2024-06-06
    Description: The data set includes relative facies composition in sediments from the reef island Langkai, SW Sulawesi, Indonesia. The data was collected in order to reconstruct the Holocene and modern (sediment) dynamics over the past ca 6,000 years. Sediment samples were obtained from sediment cores taken by percussion drilling and hand-held (Auger) coring in May 2016 and July 2021. Laboratory analysis of the sediments and shoreline analysis were carried out between 2021 and 2023. The skeletal components of the grain size fractions 〉2 mm, 2-1 mm, 1-0.5 mm and 0.5-0.25 mm were analyzed under a digital microscope by point counting. A total of n=100 skeletal components were identified from each fraction. These results were then used to calculate the relative proportions in each sample.
    Keywords: AUG; Auger; Bivalvia; Bryozoa; Calculated; Calculated average/mean values; Carbonate Sedimentology; Components, other; Coral; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinodermata; Event label; Facies; Foraminifera; Gastropoda; Grain Size; Halimeda; Holocene; Langkai_1; Langkai_2; Langkai_3; Langkai_4; Langkai_5; Langkai_Auger_1; Langkai_Auger_10; Langkai_Auger_11; Langkai_Auger_12; Langkai_Auger_13; Langkai_Auger_14; Langkai_Auger_15; Langkai_Auger_16; Langkai_Auger_17; Langkai_Auger_18; Langkai_Auger_19; Langkai_Auger_2; Langkai_Auger_20; Langkai_Auger_21; Langkai_Auger_22; Langkai_Auger_23; Langkai_Auger_24; Langkai_Auger_25; Langkai_Auger_26; Langkai_Auger_27; Langkai_Auger_28; Langkai_Auger_29; Langkai_Auger_3; Langkai_Auger_30; Langkai_Auger_31; Langkai_Auger_4; Langkai_Auger_5; Langkai_Auger_6; Langkai_Auger_7; Langkai_Auger_8; Langkai_Auger_9; PCOR; Percussion corer; radiocarbon age; Rhodophyta; Sample ID; Serpulidae; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 689 data points
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  • 70
    Publication Date: 2024-06-06
    Description: The shoreline analysis of the reef island Langkai, SW Sulawesi, Indonesia is based on 11 satellite images from 1999-2023. Island surface area was retrieved with the Digital Shoreline Analysis Tool (Thieler et al., 2009) in ArcGIS.
    Keywords: Accessibility, description; Area in hectare; Carbonate Sedimentology; Data source; DATE/TIME; Digital Shoreline Analysis System extension for ESRI ArcGIS, Thieler et al, 2009; Facies; Grain Size; Holocene; Image number/name; Langkai_sat; radiocarbon age; Reference/source; Satellite imagery; SATI; Southeast Asia; Spermonde Archipelago
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
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  • 71
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P6_246_HAMAG_2024_2402120201; P6-246_HAMAG_2024; POLAR 6; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 338 data points
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  • 72
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P6_246_HAMAG_2024_2402090101; P6-246_HAMAG_2024; POLAR 6; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 644 data points
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  • 73
    Publication Date: 2024-06-06
    Keywords: AC; Aircraft; DATE/TIME; Flight altitude; LATITUDE; LONGITUDE; P6_246_HAMAG_2024_2402130301; P6-246_HAMAG_2024; POLAR 6; WGS84, onbord GPS, unprocessed, and uncorrected for sensor position
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
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  • 74
    Publication Date: 2024-06-06
    Description: The dataset is based on 50 soft carbonate sediment samples from the reef island Barrang Lompo in the Spermonde Archipelago, Sulawesi, SE Asia. The subsurface samples were obtained by percussion drilling at 5 coring locations on the island. From each coring location, 10 samples were retrieved in 1 m intervals, thus providing samples from a maximum depth of 10 m below surface at each site (1 m, 2 m, ..., 10 m) using percussion drilling (jackhammer: WACKER BH 23, Wacker Neuson SE, probe: direct push corer with internal liner (1m length & 46 mm diameter)). Samples were taken from lowest 10 cm of probe. Examples: BL1-1 is sample from location BL1 in depth interval 90-100 cm. BL4-7 is sample from location BL4 in depth interval 690-700 cm. Laboratory data was collected between 2019 and 2021. The provided dataset contains grain size (raw and processed data; using GRADISTAT by Blott & Pye, 2001), skeletal component analysis (counting of fragments, 500 per sample; raw data) and facies determination (based on grain size and skeletal composition) of each sample. Additionally, the dataset provides raw and calibrated radiocarbon ages from 20 selected samples (calibration curve by Heaton et al. 2020; marine reservoir correction by Southon et al. 2002; calibration tool OxCal v4.4 by Bronk Ramsey, 2009). For the radiocarbon analyses, picked and pooled foraminifera of the genus Calcarina were chosen. These 20 samples were furthermore classified in terms of abrasion (1=very good preserved,... 4=very poorly preserved), following suggestions by Fellowes et al. 2017. The calibrated ages cover the earlier to late Holocene (~7,000 to 2,000 years BP). The collected data provides information of reef-derived sedimentation in the Holocene in the Spermonde Archipelago. It provides insight into the ecological background and the origin of the skeletal sediments.
    Keywords: Carbonate Sediments; Facies; Grain Size; Holocene; Leibniz Centre for Tropical Marine Research; radiocarbon age; Reef island; sediment archives; Southeast Asia; Spermonde Archipelago; SW Sulawesi; ZMT
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 75
    Publication Date: 2024-06-06
    Keywords: Aluminium oxide; Barium; Beella digitata; Beryllium; Calcium carbonate; Calcium oxide; Carbon, organic, total; Carbonates; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Copper; Counting 〉150 µm fraction; DEPTH, sediment/rock; Dolomite; Element analyser CHN; Element analysis, Hulsemann, followed by XRD; Foraminifera, benthic; Foraminifera, planktic indeterminata; Globigerina bulloides; Globigerina bulloides, δ13C; Globigerina bulloides, δ18O; Globigerina calida; Globigerina falconensis; Globigerina quinqueloba; Globigerina rubescens; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides ruber white, δ13C; Globigerinoides ruber white, δ18O; Globigerinoides sacculifer; Globigerinoides tenellus; Globigerinoides trilobus-quadrilobatus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata, δ13C; Globorotalia inflata, δ18O; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Grain size, pipette analysis; Grain size, sieving; Gravity corer (Kiel type); Hastigerina siphonifera; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron oxide, Fe2O3; Isotope ratio mass spectrometry; Magnesium oxide; Manganese oxide; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; Phosphorus pentoxide; POS200/10; POS200/10_8-2; Poseidon; Potassium oxide; Sand; Scandium; Silicon dioxide; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sodium oxide; Strontium; Titanium dioxide; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Uvigerina sp.; Uvigerina sp., δ13C; Uvigerina sp., δ18O; Vanadium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2092 data points
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  • 76
    facet.materialart.
    Unknown
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-06-06
    Keywords: AL374; AL374_510-1; AL374_519-1; AL374_523-1; AL374_539-1; Alkor (1990); ECO2; Event label; File size; MULT; Multiple investigations; Sample code/label; Sleipner; Sub-bottom profiler, SES-2000, Innomar; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Uniform resource locator/link to metadata file; Uniform resource locator/link to sgy data file
    Type: Dataset
    Format: text/tab-separated-values, 250 data points
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  • 77
    Publication Date: 2024-06-06
    Keywords: Gravity corer (Kiel type); PO200-10-15-1; POS200/10; POS200/10_15-1; Poseidon; SL
    Type: Dataset
    Format: unknown
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  • 78
    Publication Date: 2024-06-06
    Keywords: Gravity corer (Kiel type); POS200/10; POS200/10_35-1; Poseidon; SL
    Type: Dataset
    Format: unknown
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  • 79
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    Unknown
    PANGAEA
    In:  Supplement to: Abrantes, Fatima F; Cermeño, Pedro; Lopes, Cristina; Romero, Oscar E; Matos, Lelia; van Iperen, J; Rufino, Marta M; Magalhães, Vitor H (2016): Diatoms Si uptake capacity drives carbon export in coastal upwelling systems. Biogeosciences, 13(14), 4099-4109, https://doi.org/10.5194/bg-13-4099-2016
    Publication Date: 2024-06-06
    Description: Coastal upwelling systems account for approximately half of global ocean primary production and contribute disproportionately to biologically driven carbon sequestration. Diatoms, silica-precipitating microalgae, constitute the dominant phytoplankton in these productive regions, and their abundance and assemblage composition in the sedimentary record is considered one of the best proxies for primary production. The study of the sedimentary diatom abundance (SDA) and total organic carbon content (TOC) in the five most important coastal upwelling systems of the modern ocean (Iberia-Canary, Benguela, Peru-Humboldt, California and Somalia-Oman) reveals a global-scale positive relationship between diatom production and organic carbon burial. The analysis of SDA in conjunction with environmental variables of coastal upwelling systems such as upwelling strength, satellite-derived net primary production and surface water nutrient concentrations shows different relations between SDA and primary production on the regional scale. At the global-scale, SDA appears modulated by the capacity of diatoms to take up silicic acid, which ultimately sets an upper limit to global export production in these ocean regions.
    Keywords: 116-VB24; 120-VB28; 123-VB31; 124-VB32; 1316-KS01; 1318-KS03; 1324-KS9; 1325-KS10; 1327-KS12; 1331-KS16; 1335-KS20; 1340-KS25; 1343-KC03; 1361-KC25; 1363-KC27; 1365-KC29; 1366-KC30; 1368-KC32; 1369-KC33; 165-VB73; 167-VB75; 168-VB76; 170-VB78; 172-VB80; 174-VB82; 1937-TG70; 1938-TG71; 1939-TG72; 1940-TG79; 215-VB123; 218-VB126; 219-VB127; 221-VB129; 224-VB132; 226-VB134; 2393-SO7529; 242-VB150; 244-VB152; 246-VB154; 248-VB156; 249-VB157; 252-VB160; 254-VB162; 256-VB164; 261; 264; 266; 267; 268; 273-LV01; 274; 276-LV04; 277-LV05; 278-LV06; 280; 280-LV08; 282-LV10; 285; 286; 2861-SO7536; 287; 287-LV15; 290; 291; 293; 295; 297; 298; 300; 301; 302; 304; 305; 310; 313; 314; 317; 317-LV45; 318; 326-LV54; 338-LV66; 339-LV67; 341-LV69; 343-LV71; 345-LV73; 347-LV75; 349-LV77; 351-LV79; 369-LV97; 386-LV114; 387-LV115; 388-LV116; 389-LV117; 393-LV121; 395-LV123; 397-LV125; 415-LV143; 426-LV154; 445-LV167B; 451-LV172; 453-LV174; 455-LV176; 457-LV178; 458-LV179; 698-FM03; 700-FM05; 702-FM07; 703-FM08; 704-FM09; 706-FM11; 708-FM13; 709-FM14; Agadir Canyon; Almeida Carvalho; Angola Benguela Front; Angola Diapir Field; Arabian Sea; Area/locality; AT8408; AT8408-17; AT9009; AT9009-2GC; Atlantis II (1963); Basis of event; BC; BCR; Box corer; Box corer (Reineck); BX307; BX325; BX902; BX903; BX904; BX905; BX906; BX907; BX908; BX915; BX917; BX919; BX921; BX923; BX924; BX925; BX929; CALYPSO; Calypso Corer; Campaign of event; Canary Islands; CD17; CD17-11; CD17-14; CD17-18; CD17-23; CD17-25; CD17-27; CD17-28; CD17-30; CD17-33; CD17-34; Charles Darwin; CHIPAL; CONDOR-Ia; Core; CORE; Date/Time of event; DEPTH, sediment/rock; Diatoms, total valves, per unit sediment dry mass; Eastern Equatorial Pacific; Elevation of event; Event label; EW9504-16; FAEGAS_IV; FD75-3; FD75-3-14; FD75-3-15; FD75-3-16; FFC; Free fall corer; GC; Genesis III, RR9702A; GeoB11002-1; GeoB11003-2; GeoB11010-1; GeoB11013-1; GeoB11014-1; GeoB11017-1; GeoB11033-1; GeoB11039-1; GeoB11041-1; GeoB11042-1; GeoB11043-1; GeoB1703-3; GeoB1704-1; GeoB1705-2; GeoB1707-2; GeoB1709-3; GeoB1711-6; GeoB1712-1; GeoB1713-5; GeoB1713-6; GeoB1715-1; GeoB1716-3; GeoB1718-1; GeoB1719-4; GeoB1720-4; GeoB1721-4; GeoB1721-5; GeoB1722-3; GeoB1724-2; GeoB1726-1; GeoB1728-3; GeoB1729-1; GeoB2304-1; GeoB2305-1; GeoB2307-1; GeoB2308-1; GeoB2309-1; GeoB3303-1; GeoB3311-2; GeoB3349-4; GeoB3355-4; GeoB3357-1; GeoB3359-1; GeoB3365-1; GeoB3373-1; GeoB3374-1; GeoB3376-2; GeoB3601-1; GeoB3602-1; GeoB3603-1; GeoB3604-4; GeoB3605-1; GeoB3606-2; GeoB3608-1; GeoB4025-3; GeoB4026-1; GeoB4038-2; GeoB4040-2; GeoB4057-2; GeoB4202-1; GeoB4204-1; GeoB4205-1; GeoB4206-2; GeoB4207-1; GeoB4208-1; GeoB4209-1; GeoB4210-2; GeoB4211-1; GeoB4212-3; GeoB4213-1; GeoB4214-3; GeoB4215-1; GeoB4216-1; GeoB4217-1; GeoB4217-5; GeoB4223-1; GeoB4225-3; GeoB4226-1; GeoB4227-1; GeoB4228-1; GeoB4229-1; GeoB4230-1; GeoB4232-1; GeoB4233-2; GeoB4234-1; GeoB4235-1; GeoB4236-2; GeoB4237-1; GeoB4238-2; GeoB4239-1; GeoB4301-1; GeoB4911-2; GeoB4914-5; GeoB4918-3; GeoB7103-3; GeoB7106-1; GeoB7108-3; GeoB7112-1; GeoB7114-1; GeoB7115-1; GeoB7116-1; GeoB7118-1; GeoB7119-1; GeoB7121-1; GeoB7122-2; GeoB7123-1; GeoB7127-1; GeoB7129-1; GeoB7130-1; GeoB7131-1; GeoB7133-1; GeoB7134-1; GeoB7135-1; GeoB7137-2; GeoB7138-1; GeoB7142-2; GeoB7144-1; GeoB7148-1; GeoB7150-1; GeoB7152-1; GeoB7153-1; GeoB7154-2; GeoB7155-1; GeoB7156-1; GeoB7157-1; GeoB7158-1; GeoB7159-1; GeoB7920-3; GeoB7922-3; GeoB7926-1; GeoB7927-1; GeoB7928-3; GeoB7932-2; GeoB8301-5; GeoB8303-5; GeoB8305-1; GeoB8306-1; GeoB8307-5; GeoB8310-1; GeoB8311-1; GeoB8315-5; GeoB8316-1; GeoB8317-1; GeoB8318-1; GeoB8402-1; GeoB8403-1; GeoB8404-2; GeoB84100-2; GeoB8419-2; GeoB8421-4; GeoB8422-1; GeoB8424-3; GeoB8448-2; GeoB8449-1; GeoB8450-1; GeoB8451-1; GeoB8452-1; GeoB8455-1; GeoB8469-3; GeoB8470-1; GeoB8481-2; GeoB8482-2; GeoB8483-2; GeoB8484-3; GeoB8498-2; GeoB8499-1; GeoB8501-1; GeoB8502-4; GeoB8503-1; GeoB8504-1; GeoB8505-1; GeoB8506-1; GeoB8507-1; GeoB8508-1; GeoB8509-3; GeoB8517-1; GeoB8519-1; GeoB8520-3; GeoB8521-3; GeoB8522-3; GeoB8524-3; GeoB8531-1; GeoB8532-1; GeoB8533-1; GeoB8601-1; GeoB8604-3; GeoB8606-2; GeoB8607-2; GeoB8608-4; GeoB8614-2; GeoB8620-2; GeoB8625-1; GeoB8626-2; GeoB8627-2; GeoB8630-8; GeoB8631-8; GeoB9501-4; GeoB9502-5; GeoB9506-3; GeoB9508-4; GeoB9510-3; GeoB9512-4; GeoB9513-4; GeoB9515-2; GeoB9516-4; GeoB9517-5; GeoB9519-6; GeoB9520-4; GeoB9525-5; GeoB9528-1; GeoB9529-1; GeoB9532-1; GeoB9533-3; Giant box corer; GKG; Gravity corer; Gravity corer (Kiel type); IMAGES I; Indian Ocean; KOL; L6-85-NC; L6-85-NC-03; L6-85-NC-07; Latitude of event; Le Noroit; LIVRA; Longitude of event; M20/2; M34/1; M37/1; M38/1; M39/1; M39/1_02-2; M39/1_03-2; M39/1_04-2; M39/1_04-4; M39/1_17-4; M39/1_22-1; M39/1_22-3; M39/1_23-3; M39/1_29-6; M39/1_35-3; M39/1_58-1; M39/1_59-2; M39/1_72-1; M39002-2; M39022-1; M39058-1; M39059-2; M39072-1; M41/1; M53/1; M57/1; M57/2; M58/1; M58/2; M65/1; M9907-39PC; M9907-40; MARFLUX; Marge Ibérique; Marion Dufresne (1995); Mauritania Canyon; MD101; MD952040; MD95-2040; MD952042; MD95-2042; ME0005A; ME0005A-04MC4; ME0005A-07MC3; ME0005A-08MC3; ME0005A-14MC2; ME0005A-15MC6; ME0005A-20MC8; ME0005A-21MC3; ME0005A-25MC5; ME0005A-29MC2; ME0005A-35MC1; ME0005A-38MC2; ME0005A-41MC2; Melville; Meteor (1986); Method comment; MG2; MG4; MUC; MultiCorer; Namibia Continental Margin; Namibia continental slope; NEMO; North Atlantic; Northern Cape Basin; off Angola; off Chile; off Gabun; off Kunene; off Northwest Africa; off Portugal; Pacific; PARCA; Particle camera; PC; Peru Continental Margin; Piston corer; Piston corer (Kiel type); PO200-10-15-1; PO200-10-28-1; Porto Seamount; POS200/10; POS200/10_13-1; POS200/10_14-1; POS200/10_15-1; POS200/10_22-1; POS200/10_27-2; POS200/10_28-1; POS200/10_32-2; POS200/10_4-2; POS200/10_8-2; POS200/10_9-1; POS342; Poseidon; PROBOSWA; PUCK; RC27; RC27-09; RC27-12; RC27-14; RC27-23; RC27-58; RC27-61; RC27-62; Robert Conrad; Roger A. Revelle; RR9702A; RR9702A-01MC4; RR9702A-04MC5; RR9702A-06MC; RR9702A-08MC; RR9702A-10MC2; RR9702A-12MC; RR9702A-14MC; RR9702A-20MC; RR9702A-22MC; RR9702A-24MC3; RR9702A-25MC; RR9702A-27MC; RR9702A-29MC; RR9702A-31MC; RR9702A-34MC; RR9702A-39MC; RR9702A-42MC1; RR9702A-44MC; RR9702A-46MC1; RR9702A-48MC4; RR9702A-50MC4; RR9702A-52MC3; RR9702A-62MC3; RR9702A-64MC1; RR9702A-66MC1; RR9702A-68MC3; RR9702A-70MC3; RR9702A-72MC3; RR9702A-74MC2; RR9702A-77MC2; RR9702A-80MC7; RR9702A-82MC; RR9702A-83MC; Sample ID; Samuel P. Lee; SL; SO101; SO101/3_3-1; SO102/1; SO102/2; SO11GK; SO156/1; SO156/2; SO156/3; SO75/3; SO75/3_11KG; SO75/3_13KG; SO75/3_15KG; SO75/3_25KG; SO75/3_30KG; SO75/3_9KG; SO83; SO83_11GK; SO83_9GK; SO86; SO9GK; Sonne; South-East Pacific; Southern Cape Basin; southern Congo fan; South Pacific Ocean; TT063-12; TT29-18PC; TT29-22ACREF; TT31-011GCREF; TT34-1GC; TT39-11ACREF; TT39-15REF; TT39-17PC; TT39-18ACREF; TT39-19REF; TT39-21AC; TT39-22PC; TT39-23PC; TT39-5ACREF; TT39-AC12REF; TT68-18AC; TT68-PC27REF; TT90-33GC; VH96/1-3; VH96/1-4; VIABOA; Victor Hensen; W7610B; W7610B-07; W7706; W7706-01; W7706-02; W7706-03; W7706-04; W7706-10; W7706-11a; W7706-11b; W7706-12; W7706-13; W7706-14; W7706-15; W7706-20; W7706-21; W7706-24; W7706-30; W7706-32; W7706-33a; W7706-33b; W7706-34; W7706-35a; W7706-35b; W7706-36; W7706-37; W7706-38; W7706-39; W7706-40; W7706-41; W7706-42; W7706-43; W7706-44; W7706-45; W7706-47; W7706-49; W7706-5; W7706-50; W7706-57; W7706-61; W7706-62; W7706-63K; W7706-64; W7706-68GC; W7706-69; W7706-7; W7706-70GC; W7706-71GC; W7706-72; W7706-73; W7706-74; W7706-76a; W7706-76b; W7706-8; W7706-83; W7706-84; W7706-87; W7706-88; W7706-89; W7706-9; W7905A; W7905A-106; W7905A-109; W7905A-160; W7905A-163; W7905A-167; W7905A-173; W7905A-174; W8209B; W8209B-01; W8209B-19; W8306A; W8306A-01; W8508AA; W8508AA-09; W8709A; W8709A-13; W8809A; W8809A-11GC; W8809A-19GC; W8809A-26GC; W8809A-29GC; W8809A-51GC; W8909_ABC; W8909A; W8909A-24GC; W8909A-31GC; W8909A-48GC; W8909A-57GC; W8909A-7GC; W9205-1GC; Walvis Bay/Namibia; Walvis Ridge; Wecoma; Y6706;
    Type: Dataset
    Format: text/tab-separated-values, 2232 data points
    Location Call Number Expected Availability
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  • 80
    Publication Date: 2024-06-06
    Keywords: Gravity corer (Kiel type); PO200-10-24-1; POS200/10; POS200/10_24-1; Poseidon; SL
    Type: Dataset
    Format: unknown
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  • 81
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Marquer, Laurent; Gaillard, Marie-José; Sugita, Shinya; Poska, Anneli; Trondman, Anna-Kari; Mazier, Florence; Nielsen, Anne Birgitte; Fyfe, Ralph M; Jönsson, Anna Maria; Smith, Benjamin; Kaplan, Jed O; Alenius, Teija; Birks, H John B; Bjune, Anne Elisabeth; Christiansen, Jörg; Dodson, John; Edwards, Kevin J; Giesecke, Thomas; Herzschuh, Ulrike; Kangur, Mihkel; Koff, Tiiu; Latalowa, Malgorzata; Lechterbeck, Jutta; Olofsson, Jörgen; Seppä, Heikki (2017): Quantifying the effects of land use and climate on Holocene vegetation in Europe. Quaternary Science Reviews, 171, 20-37, https://doi.org/10.1016/j.quascirev.2017.07.001
    Publication Date: 2024-06-06
    Description: This dataset corresponds to the pollen-based REVEALS estimates of 25 plant taxa for Europe and associated standard errors, published in Marquer et al. (2017). This is part of the results from the Swedish project LandClim I (Gaillard et al., 2010; Trondman et al., 2015; Marquer et al., 2014, 2017). The study area includes a large part of northern and Central Europe, i.e. Ireland, Great Britain and a latitudinal transect from the Alps in the south to northernmost Norway. These REVEALS estimates are based on 151 pollen records (small/large, lakes/bogs/mires) that were selected from the European Pollen Database (Fyfe et al., 2009; Giesecke et al., 2014), the Alpine Palynological Data-Base (University of Bern, Switzerland), or were provided directly by individual data contributors. The selected pollen records are grouped into 36 1° x 1° grid-cells. Twenty-five consecutive time windows over the last 11,700 years BP are used: 0-100, 100-350, 350-700 BP for the three first time windows, and 500 calendar years each from 700 to 11,700 BP. For details about the REVEALS model, see Sugita (2007). In the excel file, the folder "Metadata" contains the explanation of abbreviations in the data folders and information about the pollen records used for the REVEALS reconstructions. All REVEALS estimates and their SEs are given in proportions of the grid cell (the total of all REVEALS estimates sum up to 1). The codes of the 25 consecutive time windows are given in the folder "Code time windows". The results of the 36 grid cells are in the folder "REVEALS 36GCs" and the related standard errors in the folder "SE_REVEALS 36GCs". Note that in the folder "Metadata", the GPS coordinates correspond to the upper left (NW) corners of each grid cell.
    Keywords: AWI_Envi; Europe; Holocene; Past land cover; Polar Terrestrial Environmental Systems @ AWI; Pollen; REVEALS
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 392.2 kBytes
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  • 82
    facet.materialart.
    Unknown
    PANGAEA
    In:  Helmholtz-Zentrum Dresden-Rossendorf | Supplement to: Kirsch, Moritz; Lorenz, Sandra; Zimmermann, Robert; Andreani, Louis; Tusa, Laura; Pospiech, Solveig; Jackisch, Robert; Khodadadzadeh, Mahdi; Ghamisi, Pedram; Unger, Gabriel; Hödl, Philip; Gloaguen, Richard; Middleton, Maarit; Sutinen, Raimo; Ojala, Antti E K; Mattila, Jussi; Nordbäck, Nicklas; Palmu, Jukka-Pekka; Tiljander, Mia; Ruskeeniemi, Timo (2019): Hyperspectral outcrop models for palaeoseismic studies. Photogrammetric Record, 34(168), 385-407, https://doi.org/10.1111/phor.12300
    Publication Date: 2024-06-06
    Description: The traditional study of palaeoseismic trenches involving logging, stratigraphic and structural interpretation can be time-consuming and affected by biases and inaccuracies. To overcome these limitations, we present a new workflow that integrates infrared hyperspectral and photogrammetric data to support field-based palaeoseismic observations. As a case study, this method is applied on two palaeoseismic trenches excavated across a post-glacial fault scarp in northern Finnish Lapland. The hyperspectral imagery (HSI) is geometrically and radiometrically corrected, processed using established image processing algorithms and machine learning approaches, and co-registered to a Structure-from-Motion point cloud. HSI-enhanced virtual outcrop models are a useful complement to palaeoseismic field studies as they not only provide an intuitive visualisation of the outcrop and a versatile data archive, but also enable an unbiased assessment of the mineralogical composition of lithologic units and a semi-automatic delineation of contacts and deformational structures in a 3D virtual environment. Uploaded data: 14 individual 3D point clouds (ascii format) from two palaeoseismic trenches, including two structure-from-motion photogrammetric RGB point clouds and 12 hyperspectral-enhanced point clouds. Data headers contain point coordinates in m (ETRS89/UTM35N), RGB color (0–255), and point normals (only for SfM RGB point clouds) in the following order: X, Y, Z, Red, Green, Blue, Nx, Ny, Nz.
    Keywords: File content; File format; File name; File size; Finland; FinnishLapland; geology; hyperspectral imaging; MULT; Multiple investigations; palaeoseismology; Photogrammetry; remote sensing; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 83
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Birk, Matthew A; McLean, Erin L; Seibel, Brad A (2018): Ocean acidification does not limit squid metabolism via blood oxygen supply. Journal of Experimental Biology, 221(19), jeb187443, https://doi.org/10.1242/jeb.187443
    Publication Date: 2024-06-06
    Description: Ocean acidification is hypothesized to limit the performance of squid owing to their exceptional oxygen demand and pH sensitivity of blood–oxygen binding, which may reduce oxygen supply in acidified waters. The critical oxygen partial pressure (Pcrit), the PO2 below which oxygen supply cannot match basal demand, is a commonly reported index of hypoxia tolerance. Any CO2-induced reduction in oxygen supply should be apparent as an increase in Pcrit. In this study, we assessed the effects of CO2 (46–143 Pa; 455–1410 μatm) on the metabolic rate and Pcrit of two squid species - Dosidicus gigas and Doryteuthis pealeii – through manipulative experiments. We also developed a model, with inputs for hemocyanin pH sensitivity, blood PCO2 and buffering capacity, that simulates blood oxygen supply under varying seawater CO2 partial pressures. We compare model outputs with measured Pcrit in squid. Using blood–O2 parameters from the literature for model inputs, we estimated that, in the absence of blood acid–base regulation, an increase in seawater PCO2 to 100 Pa (1000 μatm) would result in a maximum drop in arterial hemocyanin–O2 saturation by 1.6% at normoxia and a Pcrit increase of 0.5 kPa. Our live-animal experiments support this supposition, as CO2 had no effect on measured metabolic rate or Pcrit in either squid species.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Behaviour; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Doryteuthis pealeii; Dosidicus gigas; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gender; Growth/Morphology; Identification; Laboratory experiment; Mantle, length; Mass; Metabolic rate of oxygen; Mollusca; Nekton; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen, partial pressure; Oxygen, partial pressure, critical; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Registration number of species; Respiration; Salinity; Single species; Species; Temperate; Temperature, water; Type; Uniform resource locator/link to reference; Ventilation rate
    Type: Dataset
    Format: text/tab-separated-values, 2908 data points
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  • 84
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Spady, Blake L; Munday, Philip L; Watson, Sue-Ann (2020): Elevated seawater pCO2 affects reproduction and embryonic development in the pygmy squid, Idiosepius pygmaeus. Marine Environmental Research, 153, 104812, https://doi.org/10.1016/j.marenvres.2019.104812
    Publication Date: 2024-06-06
    Description: The oceans are absorbing additional carbon dioxide (CO2) from the atmosphere and projected future CO2 levels and ocean acidification could have negative implications for many marine organisms, especially during early life stages. Cephalopods are ecologically important in marine ecosystems, yet the potential effects of increased partial pressure of CO2 (pCO2) in seawater on cephalopod reproduction and embryonic development are little studied. We allowed adult two-toned pygmy squid (Idiosepius pygmaeus) to breed in ambient control (∼445 μatm; ∼8.05 pH) or elevated pCO2 conditions (∼940 μatm; ∼7.78 pH) and compared reproductive traits in adults and developmental characteristics of their eggs, which remained in control or elevated pCO2 treatments until hatching. Breeding pairs at elevated pCO2 produced clutches with 40% fewer eggs, vitelli that were 14% smaller directly after spawning, embryos that were 5% smaller upon hatching, and eggs with an 8% increase in late-stage egg swelling compared with pairs at control conditions. Elevated pCO2 did not affect fertility, time to hatch, or hatching success. Eggs were laid 40% closer together in elevated pCO2 compared with control conditions, indicating a possible effect of elevated pCO2 on reproductive behaviour. These results show that elevated pCO2 can adversely affect reproduction and embryonic development of the two-toned pygmy squid. As the potential for adaptation is influenced by reproductive success, testing the capacity for squid to adapt to future ocean conditions should be a priority for future research.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Area; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cleveland_Bay_OA; Coast and continental shelf; Development; Distance; Egg hatching success; Eggs; Eggs, fertilized; Eggs, hatched; Eggs, unfertilized; Eggs, unhatched; EXP; Experiment; Fertilized eggs; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Identification; Idiosepius pygmaeus; Laboratory experiment; Mantle, length; Mass; Mesocosm or benthocosm; Mollusca; Nekton; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric titration; Registration number of species; Replicate; Reproduction; Salinity; Salinity, standard deviation; Single species; South Pacific; Species; Spectrophotometric; Stage; Substrate type; Temperature, water; Temperature, water, standard deviation; Time of day; Treatment; Tropical; Type; Uniform resource locator/link to reference; Width
    Type: Dataset
    Format: text/tab-separated-values, 44760 data points
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  • 85
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Spady, Blake L; Nay, Tiffany J; Rummer, Jodie L; Munday, Philip L; Watson, Sue-Ann (2019): Aerobic performance of two tropical cephalopod species unaltered by prolonged exposure to projected future carbon dioxide levels. Conservation Physiology, 7(1), https://doi.org/10.1093/conphys/coz024
    Publication Date: 2024-06-06
    Description: Squid and many other cephalopods live continuously on the threshold of their environmental oxygen limitations. If the abilities of squid to effectively take up oxygen are negatively affected by projected future carbon dioxide (CO2) levels in ways similar to those demonstrated in some fish and invertebrates, it could affect the success of squid in future oceans. While there is evidence that acute exposure to elevated CO2 has adverse effects on cephalopod respiratory performance, no studies have investigated this in an adult cephalopod after relatively prolonged exposure to elevated CO2 or determined any effects on aerobic scope. Here, we tested the effects of prolonged exposure (〉=20% of lifespan) to elevated CO2 levels (~1000 μatm) on the routine and maximal oxygen uptake rates, aerobic scope and recovery time of two tropical cephalopod species, the two-toned pygmy squid, Idiosepius pygmaeus and the bigfin reef squid, Sepioteuthis lessoniana. Neither species exhibited evidence of altered aerobic performance after exposure to elevated CO2 when compared to individuals held at control conditions. The recovery time of I. pygmaeus under both control and elevated CO2 conditions was less than 1 hour, whereas S. lessoniana required approximately 8 hours to recover fully following maximal aerobic performance. This difference in recovery time may be due to the more sedentary behaviours of I. pygmaeus. The ability of these two cephalopod species to cope with prolonged exposure to elevated CO2 without detriment to their aerobic performance suggests some resilience to an increasingly high CO2 world.
    Keywords: Aerobic scope of oxygen; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cleveland_Bay_OA; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Identification; Idiosepius pygmaeus; Laboratory experiment; Mantle, length; Mass; Mollusca; Number; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen uptake rate; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Recovery time; Registration number of species; Respiration; Salinity; Salinity, standard deviation; Sepioteuthis lessoniana; Sex; Single species; South Pacific; Species; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1479 data points
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  • 86
    Publication Date: 2024-06-06
    Description: The structure and composition of Late Pleistocene ice wedges in the ice complex outcropping onto gently sloping Kular ridge in the western Yana-Indigirka Lowland are considered. Ice wedges are dated 47-42 and 37-32 kyr BP. Over this time, relatively high temperatures of the growing season were recorded twice. Their rise appeared to be suffi cient for the growth of trees, while a relatively warm summer season activated slope processes and accumulation of slope yedoma deposits.
    Keywords: AGE; Age, dated material; Age, error; Calendar age, maximum/old; Calendar age, minimum/young; DEPTH, sediment/rock; Ice wedges; Kular_2; Kular ridge; Late Pleistocene; North Yakutia, Russia; Permafrost; radiocarbon dating; Sample, optional label/labor no; Sample comment; Sample ID; Yedoma
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
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  • 87
    Publication Date: 2024-06-06
    Description: Anthropogenic carbon dioxide (CO2) emissions are being absorbed by the oceans, a process known as ocean acidification, and risks adversely affecting a variety of behaviours in a range of marine species, including inhibited learning in some fishes. However, the effects of elevated CO2 on learning in advanced invertebrates such as cephalopods are unknown. Any impacts to the learning abilities of cephalopods could have far-reaching consequences for their populations and the communities they inhabit. Cephalopods have some of the most advanced cognitive abilities among invertebrates and are one of the few invertebrate taxa in which conditional discrimination has been demonstrated, though the trait has not been demonstrated in any species of squid. Here, we tested for the first time the capacity for conditional discrimination in a squid species (Sepioteuthis lessoniana). Furthermore, we investigated the effects of projected future CO2 levels (1,084 µatm) on conditional discrimination and learning more generally. A three-task experiment within a two-choice arena was used to test learning and conditional discrimination. Learning was measured by improvements in task completion in repeated trials over time and the number of trials required to pass each task. Squid exhibited significant learning capabilities, with an increase in correct choices over successive trials and a decrease in the number of trials needed to complete the successive tasks. Six of the 12 squid tested successfully passed all three tasks indicating a capacity for conditional discrimination in the species. Elevated CO2 had no effect on learning or on the capacity for conditional discrimination in squid. This study highlights the remarkable cognitive abilities of S. lessoniana, demonstrated by their capacity for conditional discrimination, and suggests that ocean acidification will not compromise learning abilities. However, other behavioural traits in the species have been shown to be altered at comparable elevated CO2 conditions. It is not clear why some ecologically important behaviours are altered by elevated CO2 whereas others are unaffected. Future research should focus on the physiological mechanism responsible for altered behaviours in squid at elevated CO2.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Coast and continental shelf; Comment; Containers and aquaria (20-1000 L or 〈 1 m**2); Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Identification; Laboratory experiment; Mantle, length; Mollusca; Nekton; Number; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Percentage; pH; pH, standard deviation; Potentiometric titration; Registration number of species; Salinity; Salinity, standard deviation; Sepioteuthis lessoniana; Sex; Side; Single species; South Pacific; Species; Spectrophotometric; Temperature, water; Temperature, water, standard deviation; Time in seconds; Treatment; Tropical; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 665 data points
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  • 88
    Publication Date: 2024-06-06
    Description: Ocean acidification and warming are challenging marine organisms and ecosystems around the world. The synergetic effects of these two climate change stressors on jellyfish remain still understudied. Here, we examine the independent and combined effects of these two environmental variables on polyp population dynamics of the Mediterranean jellyfish Cotylorhiza tuberculata. An experiment was conducted to examine asexual reproduction by budding and strobilation considering current and ca. 2100 winter (Trial 1, 36 days) and summer (Trial 2, 36 days) conditions under the RCP8.5 (IPCC 2013). In Trial 1, a temperature of 18°C and two pH levels (current: 7.9 and, reduced: 7.7) were tested. Trial 2 considered two temperature levels 24°C and 30°C, under current and reduced acidification conditions (8.0 and 7.7, respectively). Ephyrae size and statolith formation of released ephyrae from polyps exposed to summer temperatures under both acidification treatment was also analyzed. Zooxanthellae density inside the polyps throughout the experiment was measured. C. tuberculata polyps could cope with the conditions mimicked in all experimental treatments and no significant effect of pH, temperature, or the combination of both variables on the abundance of polyps was observed. At 18°C, strobilation was reduced under high PCO2 conditions. Under summer treatments (24°C and 30°C), percentage strobilation was very low and several released ephyrae suffered malformations and reduced size, as a consequence of reduced pH and elevated temperatures, separately. The number of statoliths was not affected by pH or temperature, however, bigger statoliths were formed at elevated temperatures (30°C). Finally, zooxanthellae density was not affected by experimental conditions, even if, the duration of the experiment significantly affected symbiont concentration. Our results show that even though polyps of C. tuberculata would thrive the future worst scenario predicted for the Mediterranean Sea, their capacity to undergo a proper strobilation and to produce healthy ephyrae will be more vulnerable to climate induced environmental conditions, thereby affecting medusae recruitment and, therefore, population dynamics of the species.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Arms; Bicarbonate ion; Bottle number; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cnidaria; Cotylorhiza tuberculata; Day of experiment; Diameter; Ephyra size; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; Laboratory strains; Nekton; Nitrate; Nitrate, standard error; Not applicable; Number; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen, dissolved; Oxygen, dissolved, standard error; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Pelagos; pH; pH, standard error; Polyp number; Potentiometric titration; Registration number of species; Reproduction; Salinity; Silicate, standard error; Silicate [SiO3]2-; Single species; Species; Spectrophotometric; Statolith, length; Statolith, number; Statolith, volume; Statolith, width; Symmetry index; Temperature; Temperature, water; Temperature, water, standard error; Time in days; Treatment; Treatment: temperature; Type; Uniform resource locator/link to reference; Zooxanthellae
    Type: Dataset
    Format: text/tab-separated-values, 71985 data points
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  • 89
    Publication Date: 2024-06-06
    Description: Flow cytometry samples for the measurement of virus-like particles and prokaryotic abundance were sampled from the sea-surface microlayer inside and outside a natural surface slick and respective underlying water samples at three sites in the Kalmar Sound, near Rockneby, Sweden, using a boat. A glass plate sampler and a Ruttner sampler were used to sample the sea-surface microlayer and underlying water from 70 cm depth, respectively. For site 1, dissolved organic carbon and surfactants were additionally measured in all four sample types. Samples for flow cytometry were fixed with glutardialdehyde (0.5% final concentration). Some metadata for wind speed, temperature and salinity were collected. These data complement metagenomic analysis of viral communities in the sea-surface microlayer of a natural surface slick (Rahlff et al., unpublished).
    Keywords: Carbon, organic, dissolved; Comment; DATE/TIME; Date/Time local; DEPTH, water; Digital anemometer, MASTECH, MS6252A; Dissolved organic carbon analysis according to Martínez-García et al. (2022); Event label; Flow cytometer, BD Biosciences, BD Accuri C6; flow cytometry; Habitat; Kalmar Strait; Kalmarsund_1; Kalmarsund_2; Kalmarsund_3; LATITUDE; LONGITUDE; MULT; Multi-parameter portable meter, Xylem Analytics, MultiLine® Multi 3620 IDS; Multiple investigations; neuston; Prokaryotes; Salinity; Sample method; Sample type; sea-surface microlayer; Station label; surface water; Surfactants; Temperature, water; Viruses; Virus-like particles; Voltammetry, Metrohm, 747 VA Computrace; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 138 data points
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  • 90
    Publication Date: 2024-06-06
    Description: The case study of Dún Laoghaire Harbour in Ireland from 1925–1931 illustrates the challenges of accurately digitizing marigrams. The methodology involves digitizing the original marigram trace and the underlying grid at the nearest foot interval for each given hour to assess offsets. By subtracting the digitized foot interval from the known foot interval, differences are determined and then subtracted from each hourly trace value. This comparison between the original and adjusted data, where the upper and lower bounds were consistently aligned with the top line thickness during calibration, enhances the accuracy of final sea level data to the 10 mm level per year of data. The accompanying paper outlines the digitization and adjustment methodology, along with the compilation of key metadata. The attached metadata file in the dataset download explains the structure of the dataset, including its levels. The accurately digitized records from 1925 to 1931 can help us understand sea level changes over time.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Dun_Laoghaire; File content; historical data; Ireland; sea level
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 91
    Publication Date: 2024-06-06
    Description: The submitted dataset includes the pollen-based REVEALS estimates of 11 plant functional types (PFTs) and 3 land-cover types (LCTs) for Europe, published in Trondman et al. (2015) as part of the results from the Swedish project LandClim I (Gaillard et al., 2010). In this project, pollen-based REVEALS estimates of land cover for 5 time windows of the Holocene were used to evaluate the scenarios of anthropogenic land-cover change (ALCC) KK and HYDE (Kaplan et al., 2017) and to study the biogeophysical forcing of ALCC between the time windows 6200-5700 years BP and CE 1600-1850 (Strandberg et al., 2014). The reconstruction is based on 25 pollen taxa for which pollen productivity of the corresponding plant taxa were available. The taxa included in the 11 PFTs and 3 LCTs are shown in Table 1 of Trondman et al. (2015). The REVEALS estimates for the 25 individual taxa will be submitted later. See details on the REVEALS model (Sugita, 2007) under "The REVEALS model". The REVEALS data files The LandClim I pollen-based REVEALS reconstructions of land cover are gridded with a cell size of 1°. The file LandClim I LCTs.xls contains the REVEALS estimates of the cover of three land-cover types (LCTs), Evergreen Trees (ET), Summer-green Trees (ST) and Openland (OL). The file LandClim I PFTs.xls contains the REVEALS estimates of the cover of 11 plant functional types (PFTs) (see folder "Metadata" in the excel file for details). In both excel files, the folder "Metadata" contains the explanation of abbreviations in the data folders, the folder "Sitedata" is the Metadatafile of the pollen records used for the REVEALS reconstructions, and there are 10 REVEALS data/results folders of which the first five folders contain the REVEALS estimates for the five time windows of the LandClim I project, and the last five folders contain the corresponding standard errors (SEs) on the REVEALS estimates. All REVEALS estimates and their SEs are given in proportions of the grid cell (the total of all REVEALS estimates sum up to 1). In each data/results folder, the columns LCGRID and LCGRID_ID are project internal IDs, the column "cell" is the coordinate of the upper left (NW) corner of the grid, and the column "Cell label" is the country number of the grid cell with REVEALS data/results. In the file LandClim I LCTs.xls, the five folders "....BPmeanLC" contain the REVEALS estimates of the three land-cover types for the five time windows, and the five folders "....BPSE" contain the standard errors (SE) on the LCT REVEALS estimates. In the file LandClim I PFTs.xls, the five folders "....BPmeanLC" contain the REVEALS estimates of the 11 plant functional types for the five time windows, and the five folders "....BPSE" contain the standard errors (SE) on the PFT REVEALS estimates.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 92
    Publication Date: 2024-06-06
    Description: This dataset, titled the Arctic Boreal Burned Area (ABBA) product, provides annual cumulative end-of-season burned area in circumpolar boreal forests and tundra at 463 m for the years 2002-2022. The data were generated based on data inputs collected by NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) instruments using an algorithm developed by Loboda et al. (2011). Because this algorithm is specific to the high northern latitude (HNL) regions (i.e., it takes into account various conditions that are unique to the HNL), ABBA maps burned areas more accurately than other counterparts at this resolution.
    Keywords: Arctic; boreal forest; DATE/TIME; MULT; Multiple investigations; Myanmar; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); remote sensing; Tundra; wildfire
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 93
    Publication Date: 2024-06-06
    Description: The Holocene delta deposit (1st terrace) exposure SOB14-A-21 (72.53671°N, 127.98945°E) was sampled on 17 August 2014 North of Sobo-Sise Island in the Lena Delta during the framework of the joint Russian-German Expedition LENA 2014. The surface (top) of the exposure was characterized by mosses and sedges. The exposure itself was predominately sandy with few organic remnants. The top organic layer is thin (1.5 cm) and the active layer depth could not be determined exactly. However, the top 170 cm of the exposure were unfrozen although the thaw front might not only be from the top down but also horizontally due to the nature of the exposure. The exposure was first cleaned with a spade and then sampled with a knife and a hole saw from top to bottom. The entire exposure had a depth of 605 cm whereof the bottom 35 cm consisted of ice. Every 25 cm a sample was collected resulting in 22 samples (20 sediment samples and 2 ice samples). The samples were kept cool during the transport and later analyzed in the laboratory for bulk density, total organic carbon, and total nitrogen with a Vario EL III Elemental Analyzer. Prior to analysis, samples were freeze-dried, homogenized, and ground before measuring the samples with the elemental analyzer. The ice samples were not analyzed.
    Keywords: Arctic Delta; AWI_Perma; AWI Arctic Land Expedition; Carbon; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DATE/TIME; Density, dry bulk; Density, wet bulk; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; EXPO; Exposure; Ice content, gravimetric; Ice content, volumetric; LATITUDE; Lena_Delta_Sobo-Byk_2014; Lena Delta; LONGITUDE; Nitrogen; Nitrogen, total; permafrost; Permafrost Research; PETA-CARB; PG-SOB14-A-21; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; RU-Land_2014_Lena_Sobo-Byk; Sample, dry mass; Sample, wet mass; Sample code/label; Sample comment; Sample thickness; Sample volume; Sampling; Site; Size fraction 〉 2 mm, gravel; Soil organic carbon storage; Soil total nitrogen storage; Type; Water loss per dry weight
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
    Location Call Number Expected Availability
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  • 94
    Publication Date: 2024-06-06
    Description: Here we present a photogrammetric reconstruction of the best developed coral reefs of the Colombian Pacific, located at Gorgona Island. A shapefile containing the detail of coral reef boundaries, used to calculate areas is also included. Dataset includes four (4) orthophotomosaics (GeoTIFF) of the next coral reefs : La Azufrada, Playa Blanca, Arrecifito, Old Pier, and one (1) shapefile.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); coral reefs; Drone; Drone images; Eastern Tropical Pacific; Gorgona Island; Orthophotomosaic_La_Azufrada_Reef; Orthophotomosaic_Little_Reef; Orthophotomosaic_Old_Pier_Reef; Orthophotomosaic_Playa_Blanca_Reef; Photogrammetry; Unoccupied Aerial Vehicles (UAVs)
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 95
    Publication Date: 2024-06-06
    Keywords: Beella digitata; DEPTH, sediment/rock; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic indeterminata; Giant box corer; GKG; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia truncatulinoides; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Hastigerina pelagica; Hastigerina siphonifera; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; POS200/10; POS200/10_6-1; Poseidon; Pulleniatina obliquiloculata; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Turborotalita quinqueloba; Uvigerina spp.
    Type: Dataset
    Format: text/tab-separated-values, 1014 data points
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  • 96
    Publication Date: 2024-06-06
    Keywords: Beella digitata; DEPTH, sediment/rock; Foraminifera, benthic; Foraminifera, planktic; Foraminifera, planktic indeterminata; GC; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinita glutinata; Globigerinita iota; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globigerinoides tenellus; Globigerinoides trilobus sacculifer; Globigerinoides trilobus trilobus; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia truncatulinoides; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Gravity corer; Hastigerina siphonifera; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Orbulina bilobata; Orbulina suturalis; Orbulina universa; POS200/10; POS200/10_6-2; Poseidon; Turborotalia inflata; Turborotalia scitula; Turborotalita cristata; Turborotalita humilis; Turborotalita quinqueloba; Uvigerina spp.
    Type: Dataset
    Format: text/tab-separated-values, 2201 data points
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  • 97
    Publication Date: 2024-06-06
    Keywords: AGE; DEPTH, sediment/rock; Gravity corer (Kiel type); PO200-10-21-1; POS200/10; POS200/10_21-1; Poseidon; Reference/source; Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 98
    Publication Date: 2024-06-06
    Description: The values of carbon remineralisation were measured in juveniles/adults of 5 non-migratory bristlemouth fishes (Cyclothone spp.) and partial migrator (Argyropelecus hemigymnus) sampled during the BATHYPELAGIC cruise (North Atlantic, June 2018). This dataset contains the values of numerical abundance, biomass, specific ETS activity, specific respiraton and respiration flux data analyzed from Northwest Africa (20° N, 20° W) to the South of Iceland. A. hemigymnus specimens were collected using a ''Mesopelagos” net (5 x7 m mouth opening, 58 m total length) equipped with graded-mesh netting (starting with 30 mm and ending with 4 mm) and a multi-sampler for collecting samples from 5 different depth layers (Olivar et al., 2017). However, Cyclothone specimens were collected using the Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS-1 m²) zooplankton net (Wiebe et al., 1985) with a 0.2 mm mesh size and with several nets for collecting samples from 8 different depth layers. The Mesopelagos catches were sorted out and identified on board to the lowest possible taxon, and specimens selected for Electron Transfer System (ETS) analyses were immediately frozen in liquid nitrogen for later analysis in the laboratory. MOCNESS samples were preserved in 5% buffered formalin, and specimens were sorted out later in the laboratory. Stomiiforms respiration in the meso- and bathypelagic zones of the ocean were estimated along the transect. Abundance, biomass, specific ETS activity, specific respiration and respiration are given by layer.
    Keywords: 1; 10; 2; 29SG20180524; 3; 4; 5; 6; 7; Abundance per area; bathypelagic; BATHYPELAGIC; BATHYPELAGIC_01_D-3; BATHYPELAGIC_01_N-2; BATHYPELAGIC_01_N-3; BATHYPELAGIC_02_D-2; BATHYPELAGIC_02_N-2; BATHYPELAGIC_03_D-2; BATHYPELAGIC_03_D-3; BATHYPELAGIC_03_N-2; BATHYPELAGIC_03_N-3; BATHYPELAGIC_04_D-3; BATHYPELAGIC_04_N-2; BATHYPELAGIC_04_N-3; BATHYPELAGIC_05_D-2; BATHYPELAGIC_05_D-3; BATHYPELAGIC_05_N-2; BATHYPELAGIC_05_N-3; BATHYPELAGIC_06_D-2; BATHYPELAGIC_06_D-3; BATHYPELAGIC_06_N-2; BATHYPELAGIC_06_N-3; BATHYPELAGIC_07_D-2; BATHYPELAGIC_07_D-3; BATHYPELAGIC_07_N-2; BATHYPELAGIC_07_N-3; BATHYPELAGIC_10_D-3; BATHYPELAGIC_10_N-3; biological carbon pump; Biomass and Active Flux in the Bathypelagic Zone; Calculated; Carbon; Date/Time of event; Depth, bathymetric; DEPTH, water; Electron transport system activity of oxygen per mass; Event label; fish; ICM_Excellence_Centre; Latitude of event; Longitude of event; mesopelagic; Mesopelagos; Micronekton, biomass as carbon; Midwater trawl, Mesopelagos (Meillat, 2012); MOC1; MOCNESS opening/closing plankton net 1 sqm; North Atlantic; Northeast Atlantic; Optional event label; remineralization; Respiration; respiration flux; Respiration rate, carbon; Sarmiento de Gamboa; Severo Ochoa Centre of Excellence; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water, mean; Tetrazolium reduction technique according to Packard (1971); Time of day; TRIATLAS; Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management; VID; Visual identification
    Type: Dataset
    Format: text/tab-separated-values, 856 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2024-06-06
    Description: The effect of different nitrogen sources (N-deplete, NO3-, NH4+, Urea) on the growth response and toxin content of Alexandrium pseudogonyaulax, isolated in 2020 from the Danish Limfjord, were investigated by means of a bottle incubation experiment. The experiment was started on the 18th October 2021 and finished on the 13th December 2021. This dataset contains all data collected within the experiment, including cell counts, cell sizes, goniodomin A toxin contents, particular organic carbon.
    Keywords: A. pseudogonyaulax isolated from Limfjord; Alexandrium pseudogonyaulax; Alexandrium pseudogonyaulax, cell size; Alexandrium pseudogonyaulax, strain; Alexandrium sp.; bottom-up; Carbon, organic, particulate; Centrifuged off, solubilized in methanol, spin-filtered; measured with ultra-high-performance liquid chromatography (UHPLC); coupled with triple quadrupole mass spectrometer (TQMS), Waters, Xevo TQ-XS; Comment; Date/time end, experiment; Date/time start, experiment; Goniodomin A; growth; Intraspecific variability; Kept in dark at -20°C on precombusted Gf/f filter; dried for 24 h at 60 °C, then added conc. HCl and dried for 24 h at 60 °C; measured with Elemental analyser, HEKAtech, Euro EA 3000; Laboratory experiment; MULT; Multiple investigations; Nitrogen; Nitrogen, organic, particulate; photophysiology; phycotoxins; Replicate; T-AP-N; Thyborøn, Limfjord, Denmark; Time, incubation; Treatment: nitrogen; Type of study; Visual identification (VID) of Lugol preserved samples
    Type: Dataset
    Format: text/tab-separated-values, 2097 data points
    Location Call Number Expected Availability
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  • 100
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-06-06
    Description: Raw data acquired by GPS1 position sensors on board research aircraft Polar 6 during the campaign P6_246_HAMAG_2024 were processed to receive a validated master track which can be used as reference of further expedition data. Novatel FlexPak6 GPS receiver was used as navigation sensors during the campaign. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution and a generalized track with a reduced set of the most significant positions of the master track. A detailed report on processing is also available for each flight.
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Expected Availability
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