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  • Data  (108)
  • 2020-2024  (108)
  • 2020-2023
  • 2010-2014
  • 2005-2009
  • 2024  (108)
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Keywords
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Years
  • 2020-2024  (108)
  • 2020-2023
  • 2010-2014
  • 2005-2009
Year
  • 1
    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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  • 2
    Publication Date: 2024-06-12
    Description: This dataset contains the relative abundance of isoprenoidal and branched glycerol dialkyl glycerol tetraethers (GDGT) components, in addition to various indexes used to reconstruct the mean annual air temperature and pH, of the Canroute peatland sequence (Massif Central, France) for the last 15,000 years cal BP. The analysis was performed by a double microwave extraction at 70°C with dichloromethane (DCM)-methanol (MeOH) mixture (3:1, v/v), filtered on a solid-phase extraction (SPE) cartridge and then separated into polar and apolar fractions on a silica column with a hexane-DCM (1:1, v/v) and DMC-MeOH (1:1, v/v) mixtures respectively. Samples were then analysed in hexane-propanol (98.2:0.2, v/v) by high-performance liquid chromatography with mass spectrometry (HPLC-MS). Ions in selected ion monitoring (SIM) are detected for mass-to-change ratios according to Hopmans et al. (2016, doi: 10.1016/j.orggeochem.2015.12.006). This data was used to better understand the biological origin of the components and reconstruct the environmental and paleoclimate of the Canroute peatland sequence.
    Keywords: AGE; Age, radiocarbon; Calculated according to Blaga et al. (2009); Calculated according to De Jonge et al. (2014); Calculated according to De Jonge et al. (2021); Calculated according to Schouten et al. (2012); CAN02; Community Index; Crenarchaeol isomer, fractional abundance; Cyclisation index of 6-methyl branched glycerol dialkyl glycerol tetraether; DEPTH, sediment/rock; France; GDGT; High Performance Liquid Chromatography - Mass spectrometry (HPLC-MS); Holocene; Index; Isomer ratio; Isoprenoid acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid acyclic glycerol dialkyl glycerol tetraether/Crenarchaeol ratio; Isoprenoid dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid glycerol dialkyl glycerol tetraether, 4, fractional abundance; Isoprenoid monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Isoprenoid tricyclic glycerol dialkyl glycerol tetraether, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, Ia, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, Ib, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, Ic, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraether, IIIc, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 6-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIa, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIb, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIc, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIIa, fractional abundance; Methylation index of 7-methyl branched glycerol dialkyl glycerol tetraether, IIIb, fractional abundance; peat core; pH; Sample code/label; Southern France; Sum branched glycerol dialkyl glycerol tetraether, IIIa/Sum Branched glycerol dialkyl glycerol tetraether, IIa ratio
    Type: Dataset
    Format: text/tab-separated-values, 2550 data points
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  • 3
    Publication Date: 2024-06-28
    Description: Using a new global compilation of deep-sea 14C/C, we estimated (in Rafter et al. 2022) the average D14C (units of per mil) and 14C ventilation age (units of years) over the last 25,000 years for the deep Pacific, Atlantic, and Southern Oceans. Particularly, we estimated these basin averages for mid-depth waters (between the 27.5 to 28.0 neutral density surfaces) and bottom waters (having a neutral density 〉28.0). These basin averages are calculated using LOESS smoothing, but see the original text for more details. Our reasons for uploading this new data are: (1) An earlier dataset here contained an error for the mid-depth Atlantic; (2) Earlier datasets did not include the trends as D14C values; and (3) Earlier datasets did not include the Raw data (the data before normalization). We have corrected this with the new submission. Please cite the Rafter et al. 2022 when using this dataset.
    Keywords: 0050PG; 0066PG; 145-883; 145-887; 146-893A; 167-1019A; 202-1240; 202-1242A; 341-U1419; 35MF20120125, OISO_21, INDIEN SUD 2; 47396B; 50-37KL; 64-480; 90b; AII125-8-55; AII125-8-56; Akademik M.A. Lavrentyev; ALV-3887-1549-004-007; ALV-3887-1549-004-009; ALV-3887-1549-004-012; ALV-3890-1407-003-001; ALV-3891-1459-003-002; ALV-3891-1758-006-003; AMOCINT, IMAGES XVII; ANT-XI/4; ANT-XXIII/9; ANT-XXVI/2; Argentine Basin; ARK-II/5; ARK-X/2; Azores; B34-91; BC; Bering Sea; Binary Object; BO04-PC11; Box corer; Brazil Basin; Burdwood_Bank; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Calypso Square Core System; Canarias Sea; Cape_Horn; Caribbean Sea; CASQ; CASQS; CD159; CD159-10; CD159-15; CD159-17; CD38-17P; Celtic Sea; Cenderawasih Bay; Central Pacific; CH84-14; Charles Darwin; CHAT_10k; CHAT_16k; CHAT-3K; CHAT-5K; Chatham Rise; COMPCORE; Composite Core; Conrad Rise; Core; CORE; Core1471; Core2088; Core21210009; Core2307; Core2631; Core2657; Core2706; Core2774; Core47396; Core654; Core660; Core936; Corner Rise; Denmark Strait; Drake Passage; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Eastern slope of Kurile Basin; East Pacific; Emperor Seamounts; EN06601; EN066-39GGC; Endeavor; Equatorial East Pacific; ESTASE1; EW0408; EW0408-26JC; EW0408-85JC; EW0408-87JC; Exp341; F2-92-P3; F8-90-G21; File content; Galapagos; Galápagos Islands; GC; GC_POI; GeoB1503-1; GeoB2104-3; GeoB7149-2; GeoB7162-6; GeoB7163-7; GeoB7167-6; GGC; GGC5; gh02-1030; Giant box corer; Giant gravity corer; Giant piston corer; GIK17940-1; GIK23243-2 PS05/431; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gravity corer (POI); GS07-150-17/1GC-A; GS07-150-20/2A; Gulf of Alaska; Gulf of California; H209; H213; HH12-946MC; HU72-021-7; HU89038-8PC; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XII - MARCO POLO; IMAGES XV - Pachiderme; Indian Ocean; INOPEX; Interim_Seamount; Japan Trench; Jean Charcot; JM-FI-19PC; Joides Resolution; JPC; JPC30; JT96-09; JT96-09PC; Jumbo Piston Core; KAL; KALMAR II; Kasten corer; KL; KN_USA; KN11002; KN159-5; Knorr; KNR073-04-003; KNR110-50; KNR110-66; KNR110-82a; KNR110-82GGC; KNR140; KNR140-01JPC; KNR140-02JPC; KNR140-12JPC; KNR140-2-12JPC; KNR140-2-22JPC; KNR140-22JPC; KNR140-2-30GGC; KNR140-2-51GGC; KNR140-26GGC; KNR140-30GGC; KNR140-37JPC; KNR140-39GGC; KNR140-43GGC; KNR140-50GGC; KNR140-51GGC; KNR140-56GGC; KNR140-66GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-78GGC; KNR176-17GC; KNR178; KNR178-2GGC; KNR178-32JPC; KNR195-5-CDH23; KNR195-5-CDH26; KNR195-5-CDH41; KNR195-5-GGC43; KNR197-10; KNR197-10CDH42; KNR197-10-CDH42; KNR197-10-CDH46; KNR197-10-GGC17; KNR197-10-GGC36; KNR197-10-GGC5; KNR198-CDH36; KNR198-GGC15; KNR31GPC5; KNR733P; KNR734P; KNR736P; KOL; KOMEX; KOMEX II; KR02-15-PC06; Kronotsky Peninsula; KT89-18-P4; Lakshadweep Sea; Laurentian fan; Leg145; Leg146; Leg167; Leg202; Leg64; Le Suroît; LPAZ21P; LV27/GREGORY; LV27-2-4; LV29-114-3; LV29-2; M16/2; M23/2; Marion Dufresne (1972); Marion Dufresne (1995); Maurice Ewing; Mazatlan; MCSEIS; MD012378; MD01-2378; MD012386; MD01-2386; MD012416; MD01-2416; MD012420; MD01-2420; MD022489; MD02-2489; MD022519; MD02-2519; MD03-2697; MD03-2707; MD052896; MD05-2896; MD052904; MD05-2904; MD07-3076; MD07-3076Q; MD07-3088; MD08-3169; MD08-3180; MD09-3256; MD09-3256Q; MD09-3257; MD106; MD111; MD114; MD122; MD12-3396Cq; MD126; MD13; MD134; MD147; MD159; MD168; MD173; MD189; MD77-176; MD972106; MD97-2106; MD972120; MD97-2120; MD972121; MD97-2121; MD972138; MD97-2138; MD982165; MD98-2165; MD982181; MD98-2181; MD99-2334; ME0005A; ME0005A-24JC; ME0005A-43JC; Melville; Meteor (1986); ML1208-01PC; MONITOR MONSUN; MR01-K03; MR06-04_PC04A; MUC; Multichannel seismics; MultiCorer; MV99-GC38; MV99-MC17/GC32/PC10; MV99-MC19/GC31/PC08; NEMO; Nesmeyanov25-1-GGC15; Nesmeyanov25-1-GGC18; Nesmeyanov25-1-GGC20; Nesmeyanov25-1-GGC27; New_England_Seamounts; North Atlantic; North Greenland Sea; North Pacific/Gulf of California/BASIN; North Pacific Ocean; Northwest Atlantic; Norwegian Sea; OCE326-GGC14; OCE326-GGC26; OCE326-GGC5; off Chile; off Nova Scotia; OSIRIS III; Pacific Ocean; PALEOCINAT; PC; Philippine Sea; PICABIA; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PLDS-007G; PLDS-1; Pleiades; Polarstern; PS05; PS1243-2; PS2606-6; PS2644-2; PS30; PS30/144; PS31; PS31/160; PS69; PS69/907-2; PS69/912-3; PS69/912-4; PS75/059-2; PS75/100-4; PS75/104-1; PS75 BIPOMAC; PUCK; RAPiD-10-1P; RAPiD-15-4P; RAPiD-17-5P; RBDASS05; RC24; RC24-8GC; RC27; RC27-14; RC27-23; Remote operated vehicle; RETRO-2; RNDB-GGC15; RNDB-GGC5; RNDB-PC11; RNDB-PC13; Robert Conrad; ROV; RR0503-36JPC; RR0503-41JPC; RR0503-64JPC; RR0503-79JPC; RR0503-831C; RR0503-83GC; S67-FFC15; S794; S931; Sakhalin shelf and slope; Sars_Seamount; Scotia Sea; Sea of Okhotsk; SEDCO; Sediment corer; Shackleton_Fracture_Zone; SHAK03-6K; SHAK05-3K; SHAK06-4K; SHAK06-5K; SHAK10-10K; SHAK14-4G; Shirshov Ridge; SK129-CR2; SL; Smithsonian_48735.1; SO156/2; SO156/3; SO161/3; SO161/3_22; SO178; SO178-13-6; SO201/2; SO201-2-101; SO201-2-12KL; SO201-2-77; SO201-2-85; SO202/1; SO202/1_18-6; SO213/2; SO213/2_76-2; SO213/2_79-2; SO213/2_82-1; SO213/2_84-1; SO95; Sonne; SOPATRA; South Atlantic; South Atlantic Ocean; South China Sea; Southern Alaska Margin: Tectonics, Climate and Sedimentation; South of Iceland; South Pacific Ocean; South Tasman Rise; Southwest Pacific Ocean; SPOC; Station 6, MD189-3396; SU90-08; Thomas G. Thompson (1964); Thomas Washington; Timor Sea; TNO57-21; TR163-22; TR163-23; TR163-31; TT154-10; TTN13-18; TTXXX; U938; V34; V34-98; V35; V35-5; V35-6; Vema; Vigo; VINO19-4-GGC17; VINO19-4-GGC37; VM21-29; VM21-30; VM23-81; VM28-122; VM28-238; VNTR01; VNTR01-10GC; W8709A; W8709A-13; Wecoma
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 4
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 5
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 6
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 7
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 8
    Publication Date: 2024-01-31
    Keywords: Bulk organic geochemistry; Calculated; Carbon, organic, total; China; Clumped isotope thermometry; Event label; Instrument; Latitude of event; Lithology/composition/facies; Longitude of event; OUTCROP; Outcrop sample; palynology; pedogenic carbonate; Plant wax; Reference/source; Sample ID; Section; stable isotope geochemistry; Stratigraphic height; Uniform resource locator/link to reference; Xining_Basin_Bingling_Shan; Xining_Basin_Caijia; Xining_Basin_Ledu; XRD; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1017 data points
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  • 9
    Publication Date: 2024-03-21
    Description: Alkenone biomarker unsaturation estimates (Uk'37) of sea surface temperature (SST) and alkenone concentration and mass accumulation rate (C37total) data at ~3-kyr resolution are obtained for eastern equatorial Pacific (EEP) Ocean Drilling Program Sites 138-846, 849, 850 and Integrated Ocean Drilling Program Site 321-U1338. These newly acquired alkenone biomarker data from Brown University (sample preparation and analysis methods according to Herbert et al. (2021, doi:10.5194/cp-17-1385-2021) are used to calculate gradients in SST and biological productivity in the mid Pliocene (3.0-3.6 Ma) relative to modern. Two common SST calibrations are reported here (Müller et al. (1998, doi:10.1016/S0016-7037(98)00097-0); Tierney & Tingley (2018, doi:10.1002/2017PA003201) to provide transparency when calculating the SSTs of samples approaching the alkenone saturation limit and to demonstrate how different calibrations affect (or do not affect) the SST gradients between sites. Calibrated X-ray fluorescence element oxide percents (MnO, Fe2O3, TiO2, CaCO3, Al2O3, SiO2, and BaSO4) are also included for Ocean Drilling Program Sites 138-846. The XRF data were calibrated using discrete sample analyses at the University of Rhode Island combined with log-ratio calibration equations.
    Keywords: Alkenone; Eastern Equatorial Pacific; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 10
    Publication Date: 2024-03-21
    Description: Core top alkenone biomarker unsaturation estimates (Uk'37) of sea surface temperature and alkenone concentration (C37total), and World Ocean Atlas estimates of 1955-2010 sea surface temperature (Boyer et al., 2018; Locarnini et al., 2019), Aqua MODIS estimates of 2003-2007 surface chlorophyll (NASA Goddard Space Flight Center, 2022 , doi:10.5067/AQUA/MODIS/L3B/CHL/2022), and modeled coccolithophore productivity (Losa et al., 2017, doi:10.3389/fmars.2017.00203) were obtained and compared for the eastern equatorial Pacific Ocean. Newly acquired alkenone biomarker data from Brown University supplements data from other sources (Bova, 2017 (doi:10.7301/Z0P26WKM); Conte et al., 2006 (doi:10.1029/2005GC001054); Dubois et al., 2009 ( doi:10.1029/2009PA001781); Horikawa et al., 2006 (doi:10.1029/2006GL025948); Kienast et al., 2012 (doi:10.1029/2011PA002254); Koutavas & Sachs, 2008 (doi:10.1029/2008PA001593); Liu & Herbert, 2004 (doi:10.1038/nature02338); Prahl et al., 2006 (doi:10.1016/j.gca.2005.08.02)). Core top and satellite-derived estimates of sea surface temperature and productivity were compared to assess the applicability of alkenone palaeothermometry and paleoproductivity reconstruction to the eastern equatorial Pacific.
    Keywords: Alkenone; core top; Eastern Equatorial Pacific; MODIS; Sea surface temperature; SST
    Type: Dataset
    Format: application/zip, 4 datasets
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