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  • 2010-2014  (526)
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Year
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Hessler, Ines; Harrison, S P; Kucera, Michal; Waelbroeck, Claire; Chen, Min-Te; Anderson, Carin; de Vernal, Anne; Fréchette, Bianca; Cloke-Hayes, Angela; Leduc, Guillaume; Londeix, Laurent (2014): Implication of methodological uncertainties for mid-Holocene sea surface temperature reconstructions. Climate of the Past, 10(6), 2237-2252, https://doi.org/10.5194/cp-10-2237-2014
    Publication Date: 2023-03-03
    Description: We present and examine a multi-sensor global compilation of mid-Holocene (MH) sea surface temperatures (SST), based on Mg/Ca and alkenone palaeothermometry and reconstructions obtained using planktonic foraminifera and organic-walled dinoflagellate cyst census counts. We assess the uncertainties originating from using different methodologies and evaluate the potential of MH SST reconstructions as a benchmark for climate-model simulations. The comparison between different analytical approaches (time frame, baseline climate) shows the choice of time window for the MH has a negligible effect on the reconstructed SST pattern, but the choice of baseline climate affects both the magnitude and spatial pattern of the reconstructed SSTs. Comparison of the SST reconstructions made using different sensors shows significant discrepancies at a regional scale, with uncertainties often exceeding the reconstructed SST anomaly. Apparent patterns in SST may largely be a reflection of the use of different sensors in different regions. Overall, the uncertainties associated with the SST reconstructions are generally larger than the MH anomalies. Thus, the SST data currently available cannot serve as a target for benchmarking model simulations.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2023-07-10
    Description: Canonical correspondence analysis has been used to analyze and to visualize the relationships between the main species and selected environmental variables in a study of diatoms from surface sediment samples in Chinese inshore waters. The result shows that the diatom distribution in Chinese inshore waters is closely correlated with the environmental variables and that the measured environmental variables account for the major changes of the diatom composition. Winter sea-surface temperature (WST), winter sea-surface salinity (WSS), water depth and summer sea-surface salinity (SSS) play an important role for the diatom distribution. Among the environmental factors, winter sea-surface temperature is the most important, controlling the distribution of diatoms in the surface sediments in Chinese inshore waters, and therefore, it may be potentially reconstructed in palaeoceanographic studies. Three diatom assemblages are distinguished, representing environments with different hydrological characteristics. The temperate-water diatom assemblage may be used as an indicator of the coastal circulation system of Bohai Sea and Yellow Sea. While the warm-temperate water diatom assemblage is closely related to Shanghai-Zhejiang-Fujian coastal currents and Northern Bay coastal currents of South China Sea. The deep water diatom assemblage is a response to that the waters are less controlled by coastal currents, but are more influenced by open sea currents, such as Kuroshio.
    Keywords: Actinocyclus ehrenbergii; Actinoptychus undulatus; Bacteriastrum hyalinum; Biddulphia reticulata; Campylodiscus brightwellii; Carbon, organic, total; Chin_BH; Chin_CHX; Chin_CL; Chin_CXD; Chin_DF; Chin_DS; Chin_FCG; Chin_JZ; Chin_LS; Chin_LYG; Chin_LZ; Chin_ND; Chin_PL; Chin_PT; Chin_QD; Chin_QZ; Chin_SH; Chin_ST; Chin_TJ; Chin_TW-1; Chin_TW-2; Chin_TW-3; Chin_WC; Chin_WH; Chin_WZ; Chin_XM; Chin_XP; Chin_ZJ; Chin_ZS; China Sea; Code; Coscinodiscus argus; Coscinodiscus blandus; Coscinodiscus centralis; Coscinodiscus curvatulus; Coscinodiscus curvatulus var. minor; Coscinodiscus decrescens; Coscinodiscus kutezingii; Coscinodiscus nodulifer; Coscinodiscus pseudodenticulatus; Coscinodiscus radiatus; Coscinodiscus rothii; Coscinodiscus subtilis; Cyclotella striata; Cyclotella stylorum; DEPTH, sediment/rock; Diatoms; Elevation of event; Event label; Latitude of event; Lithology/composition/facies; Longitude of event; Melosira sulcata; pH; Podosira stelliger; Pyxidicula weyprechtii; Sea surface salinity, summer; Sea surface salinity, winter; Sea surface temperature, summer; Sea surface temperature, winter; Silicate, reactive; Surirella fluminensis; Thalassiosira eccentrica; Thalassiosira kozlovii; Thalassiosira leptopus; Triceratium reticulum; Tryblioptychus cocconeiformis
    Type: Dataset
    Format: text/tab-separated-values, 1102 data points
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  • 3
    Publication Date: 2023-11-25
    Description: This datasets includes paleoclimate proxy parameters compiled within the MARGO project.
    Keywords: LIT; Literary studies; MARGO; MARGO_0000; Multiproxy Approach for the Reconstruction of the Glacial Ocean surface
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Steinke, Stephan; Mohtadi, Mahyar; Groeneveld, Jeroen; Lin, Li-Chuan; Löwemark, Ludvig; Chen, Min-Te; Rendle-Bühring, Rebecca (2010): Reconstructing the southern South China Sea upper water column structure since the Last Glacial Maximum: Implications for the East Asian winter monsoon development. Paleoceanography, 25(2), PA2219, https://doi.org/10.1029/2009PA001850
    Publication Date: 2023-11-04
    Description: Upper water column dynamics in the southern South China Sea were reconstructed in order to track changes in the activity of the East Asian winter monsoon (EAWM) since the Last Glacial Maximum. We used the difference in the stable oxygen isotopes (Delta d18O) and Mg/Ca-based temperatures (Delta T) of surface-dwelling (G. ruber) and thermocline-dwelling (P. obliquiloculata) planktonic foraminifera and the temperature difference between alkenone- and P. obliquiloculata Mg/Ca-based temperatures to estimate the upper ocean thermal gradient at International Marine Past Global Change Study (IMAGES) core MD01-2390. Estimates of the upper ocean thermal gradient were used to reconstruct mixed layer dynamics. We find that ourDelta d18O estimates are biased by changes in salinity and, thus, do not display a true upper ocean thermal gradient. The Delta T of G. ruber and P. obliquiloculata as well as the alkenone and P. obliquiloculata suggest increased surface water mixing during the late glacial, likely due to enhanced EAWM winds. Surface water mixing was weaker during the late Holocene, indicating a weaker influence of winter monsoon winds. The weakest winter monsoon activity occurred between 6.5 ka and 2.5 ka. Inferred EAWM changes since the Last Glacial Maximum coincide with EAWM changes as recorded in Chinese loess sediments. We find that the intensity of the EAWM and the East Asian summer monsoon show an inverse behavior during the last glacial and deglaciation but covaried during the middle to late Holocene.
    Keywords: -; Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Calendar age; DEPTH, sediment/rock; Giant piston corer; GPC; IMAGES; IMAGES VII - WEPAMA; International Marine Global Change Study; Laboratory; Laboratory code/label; Marion Dufresne (1995); MD012390; MD01-2390; MD122; South China Sea
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Yu, Pai-Sen; Kienast, Markus; Chen, Min-Te; Cacho, Isabel; Flores, José-Abel; Mohtadi, Mahyar; Mix, Alan C (2012): Influences of extratropical water masses on equatorial Pacific cold tongue variability during the past 160 ka as revealed by faunal evidence of planktic foraminifers. Journal of Quaternary Science, 27(9), 921-931, https://doi.org/10.1002/jqs.2582
    Publication Date: 2024-01-09
    Description: Glacial cooling (~1-5°C) in the eastern equatorial Pacific (EEP) cold tongue is often attributed to increased equatorial upwelling, stronger advection from the Peru-Chile Current (PCC), and to the more remote subpolar southeastern Pacific water mass. However, evidence is scarce for identifying unambiguously which process plays a more important role in driving the large glacial cooling in the EEP. To address this question, here we adopt a faunal calibration approach using planktic foraminifers with a new compilation of coretop data from the eastern Pacific, and present new downcore variation data of fauna assemblage and estimated sea surface temperatures (SSTs) for the past 160 ka (Marine Isotope Stage (MIS) 6) from ODP Site 1240 in the EEP. With significant improvement achieved by adding more coretop data from the eastern boundary current, our downcore calibration results indicate that most of the glacial cooling episodes over the past 160 ka in the EEP are attributable to increased influence from the subpolar water mass from high latitudes of the southern Pacific. By applying this new calibration of the fauna SST transfer function to a latitudinal transect of eastern Pacific (EP) cores, we find that the subpolar water mass has been a major dynamic contributor to EEP cold tongue cooling since MIS 6.
    Keywords: 202-1240; COMPCORE; Composite Core; Equatorial East Pacific; Joides Resolution; Leg202; Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2024-01-09
    Keywords: 202-1240; AGE; Communality; COMPCORE; Composite Core; Depth, composite; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Equatorial East Pacific; Factor 1; Factor 2; Factor 3; Factor 4; Factor analysis, Q-mode; Intercore correlation; Joides Resolution; Leg202; Ocean Drilling Program; ODP; Sample code/label; Sea surface temperature, annual mean; Transfer function (Imbrie & Kipp, 1971, in Turekian, Yale Univ Press)
    Type: Dataset
    Format: text/tab-separated-values, 1872 data points
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  • 7
    Publication Date: 2024-02-13
    Keywords: 101; 108-658C; 13078-016; 160-964; 160-967D; 160-969; 160-969E; 160-973; 161-974; 161-975; 161-976C; 161-977; 162-984; 165-1002C; 165-999; 167-1012B; 167-1017E; 167-1019C; 175-1078C; 175-1084B; 184-1145; 2; 2004-804-009; 2005-804-004; 2005-804-006; 202-1233; 202-1240; 202-1242; 225514; 225517; 255; 3664N/S; 36C; 79US/Fr; 89; A-7; AD91-17; Adriatic Sea; AGE; Alboran Sea; also published as VM28-122; Angola Basin; Arabian Sea; Arctic Ocean; Atlantic Ocean; AUSCAN; B-3GC; Barrow Canyon; Bay of Bengal; BENGAL FAN; Benguela Current, South Atlantic Ocean; BOFS31/1K; BOFS31#1; BS79-33; BS79-38; CALYPSO; CALYPSO2; Calypso Corer; Calypso Corer II; Calypso square corer; Canarias Sea; Caribbean Sea; CASQ; Cayman Rise, Caribbean Sea; CD159-12; CD53; Center for Marine Environmental Sciences; CEPAG; CH07-98-GGC19; CH69-K09; CH77-02; Charles Darwin; Chatham Rise; CHIPAL; CLIVAMPcruises; Cocos Ridge; Comment; COMPCORE; Composite Core; Congo Fan; D13882; D226; D249; De Soto Canyon; Discovery (1962); DRILL; Drilling/drill rig; E017; East Bight Fracture Zone; East China Sea, Pacific Ocean; Eastern Basin; East Pacific; Emperor Seamounts; Equatorial East Pacific; Event label; FAEGAS_IV; GC; GeoB10029-4; GeoB10038-4; GeoB1023-5; GeoB1710-3; GeoB1711; GeoB1711-4; GeoB1712-4; GeoB3129-1; GeoB3313-1; GeoB3910-2; GeoB4905-4; GeoB5546-2; GeoB5844-2; GeoB5901-2; GeoB6007-2; GeoB6518-1; GeoB7112-5; GeoB7139-2; GeoB7926-2; GEOSCIENCES, MARMARCORE; GGC; GGC-15-1; Giant box corer; Giant gravity corer; Giant piston corer; GIK16773-1; GIK17748-2; GIK17938-2; GIK17940-2; GIK17964-1; GIK18252-3; GIK18287-3; GIK23258-2; GIK23323-1; GINCO 3; GKG; GPC; Gravity corer; Gravity corer (Kiel type); Greenland Rise; Hakuho-Maru; Healy; Healy-Oden Trans-Arctic Expedition; HLY0501-05JPC; HM03-133-25; HOTLINE, HYGAPE; HOTRAX_2005; HU-2003-033-011; HU-84-030-021PC; HU-84-030-021TWC; HU-90-031-019; HU-90-031-044; HU90-13-013; HU-91-039-008; HU-91-045-072; HU-91-045-080; HU-91-045-085; HU91-045-094; HUD90/13; Hudson; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES IX - PAGE; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; IMAGES XIII - PECTEN; IMAGES XII - MARCO POLO; IN68-9; Indian Ocean; Indonesia; IOW225514; IOW225517; James Clark Ross; Jan Mayen; Jean Charcot; JM96; JM96-1207/1-GC; Joides Resolution; JOPSII-6; JR20000727; JR51; JR51GC-35; JT96-09; JT96-09PC; KAL; KAL20; KASTEN; Kasten corer; Kasten corer (1 m**2); Kasten corer 20 cm; KH-01-3; KH-01-3-19; KL; KL-74, AS-12; Knorr; KNR140; KNR140-2-51GGC; KNR140-51GGC; KNR176-2; KNR176-JPC32; KOL; KS310; Kurilen Trench; KY07-04-PC1; LAPAZ21P; LC21, LC-21; Leg108; Leg160; Leg161; Leg162; Leg165; Leg167; Leg175; Leg184; Leg202; Le Noroit; Le Suroît; LINK14; M20/2; M34/4; M35/1; M35003-4; M39/1; M39/1_08-3; M39008-3; M40/4; M40/4_SL78; M40/4_SL78-3; M40/4_SL80; M40/4_SL82; M41/1; M42/4b; M44/1; M44/1_71MC; M44/3; M45/1; M45/5a; M47/3; M53/1; M6/5; M6/6; M7/2; M7/4; Marge Ibérique; Marion Dufresne (1972); Marion Dufresne (1995); Marmara Sea; MARUM; Material; MD01-2334; MD012378; MD01-2378; MD012390; MD01-2390; MD012392; MD01-2392; MD012394; MD01-2394; MD012404; MD01-2404; MD012412; MD01-2412; MD012416; MD01-2416; MD01-2430; MD01-2443; MD022529; MD02-2529; MD022575; MD02-2575; MD032611G; MD03-2611G; MD03-2707; MD04-2747CQ; MD04-2797CQ; MD052904; MD05-2904; MD052928; MD05-2928; MD101; MD106; MD111; MD114; MD122; MD123; MD126; MD127; MD13; MD131; MD147; MD148; MD77-194; MD79-257; MD81; MD81-LC21; MD85674; MD94-103; MD952011; MD95-2011; MD952015; MD95-2015; MD952033; MD95-2033; MD952040; MD95-2040; MD952042; MD95-2042; MD952043; MD95-2043; MD972120; MD97-2120; MD972121; MD97-2121; MD972125; MD97-2125; MD972141; MD97-2141; MD972142; MD97-2142; MD972146; MD97-2146; MD972148; MD97-2148; MD972151; MD97-2151; MD982162; MD98-2162; MD982165; MD98-2165; MD982170; MD98-2170; MD982176; MD98-2176; MD982181; MD98-2181; MD982193; MD98-2193; MD992220; MD99-2220; MD99-2227; MD99-2251; MD99-2254; MD99-2269; MD99-2284; MD99-2346; ME0005A; ME0005A-24JC; Mediterranean Sea; Melville; Meteor (1986); MONITOR MONSUN; MR00-K03-PC01; MUC; MultiCorer; N.Iceland shelf, Reykjafjardarall; N. Shetland channel; NA87-22; Namibia continental slope; NEAP; NEAP-17K; NE-Brazilian continental margin; NEMO; Newfoundland margin; North Atlantic; Northeast Atlantic; Northeast Brasilian Margin; Northern Red Sea; North Pacific Ocean; North-West African margin; Northwest Atlantic; OCE326-GGC26; OCE326-GGC30; off Cameroon; off Chile; OSIRIS4; OSIRIS III; PABESIA; Pacific Ocean; PAKOMIN; PALAEOFLUX; Papua Plateau; PC; PC-17; PC-2; PC-4; Piston corer; Piston corer (BGR type); Piston corer (Kiel type); PL07-39PC; PL-96-112; Porto Seamount; Portuguese Margin; Professor Logachev; PUCK; RAPID-12-1K; RC24; RC24-16; Reference/source; Reykjanes Ridge; ride Calmar; RL11; RN88-PC5; RN92-PC3; RN92-PC4; RN93-PC1; RN93-PC3; RN93-PC4; RN93-PC6; RN94-PC3; RN96-PC1; Robert Conrad; Rockall; ROMANCHA; Sample code/label; SCS90-36; Sea of Marmara; Sea surface temperature, annual mean; Sea surface temperature, summer; Sea surface temperature, winter; Ship of opportunity; Sierra Leone Basin/Guinea Basin; SL; SO102/1; SO115; SO115_05; SO115_40; SO136; SO136_011GC; SO139; SO139-74KL; SO156/2; SO184/1; SO42; SO42-74KL; SO80_4; SO80a; SO90; SO90_93KL; SO93/3; SO93/3_126KL; SO95; Sonne; South Atlantic Ocean; South China Sea; South-East Pacific; Southern Ocean; Southern Okhotsk Sea; South Pacific Ocean; SSDP102; St.14; SU81-18; SUNDAFLUT; Sunda Shelf; TASQWA; TC; Timor Sea; Tirreno Sea; TN057-21; TR163-19; TR163-22; Trigger corer; TTR-17_MS419; TTR-17/1; TY93-905; upper Laurentien Island; V19; V19-27; V19-28; V19-30; V21; V21-30; V28; V28-122; V30; V30-36; Vema; Victor Hensen; Vietnam shelf; Voring Plateau; W8709A; W8709A-8TC; Wecoma; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 6357 data points
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  • 8
    Publication Date: 2024-02-02
    Keywords: 160-964A; 160-969A; 160-973A; 161-974B; 161-975B; Age, 14C AMS; Age, calibrated; Age, comment; Age, dated; Age, dated standard deviation; Age, maximum/old; Age, minimum/young; Center for Marine Environmental Sciences; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eastern Basin; Event label; GeoB3129-1; GeoB5546-2; Gravity corer (Kiel type); Joides Resolution; JOPSII-6; KL; Leg160; Leg161; M40/4; M40/4_SL80; M40/4_SL82; M42/4b; MARUM; Meteor (1986); NE-Brazilian continental margin; Piston corer (BGR type); Sample code/label; SL; Tirreno Sea; Victor Hensen; Western Basin
    Type: Dataset
    Format: text/tab-separated-values, 246 data points
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  • 9
    Publication Date: 2024-04-20
    Keywords: 202-1240; AGE; Beella digitata; COMPCORE; Composite Core; Counting 〉150 µm fraction; Depth, composite; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Equatorial East Pacific; Globigerina bulloides; Globigerina falconensis; Globigerinella aequilateralis; Globigerinella calida; Globigerinita glutinata; Globigerinoides conglobatus; Globigerinoides ruber; Globigerinoides sacculifer; Globoquadrina conglomerata; Globorotalia crassaformis; Globorotalia hirsuta; Globorotalia inflata; Globorotalia scitula; Globorotalia truncatulinoides dextral; Globorotalia truncatulinoides sinistral; Globorotaloides hexagonus; Globoturborotalita rubescens; Globoturborotalita tenella; Intercore correlation; Joides Resolution; Leg202; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Ocean Drilling Program; ODP; Orbulina universa; Pulleniatina obliquiloculata; Sample code/label; Sphaeroidinella dehiscens; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 6552 data points
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  • 10
    Publication Date: 2022-05-25
    Description: © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Environmental Research Letters 9 (2014): 045005, doi:10.1088/1748-9326/9/4/045005.
    Description: Permafrost thaw and the subsequent mobilization of carbon (C) stored in previously frozen soil organic matter (SOM) have the potential to be a strong positive feedback to climate. As the northern permafrost region experiences as much as a doubling of the rate of warming as the rest of the Earth, the vast amount of C in permafrost soils is vulnerable to thaw, decomposition and release as atmospheric greenhouse gases. Diagnostic and predictive estimates of high-latitude terrestrial C fluxes vary widely among different models depending on how dynamics in permafrost, and the seasonally thawed 'active layer' above it, are represented. Here, we employ a process-based model simulation experiment to assess the net effect of active layer dynamics on this 'permafrost carbon feedback' in recent decades, from 1970 to 2006, over the circumpolar domain of continuous and discontinuous permafrost. Over this time period, the model estimates a mean increase of 6.8 cm in active layer thickness across the domain, which exposes a total of 11.6 Pg C of thawed SOM to decomposition. According to our simulation experiment, mobilization of this previously frozen C results in an estimated cumulative net source of 3.7 Pg C to the atmosphere since 1970 directly tied to active layer dynamics. Enhanced decomposition from the newly exposed SOM accounts for the release of both CO2 (4.0 Pg C) and CH4 (0.03 Pg C), but is partially compensated by CO2 uptake (0.3 Pg C) associated with enhanced net primary production of vegetation. This estimated net C transfer to the atmosphere from permafrost thaw represents a significant factor in the overall ecosystem carbon budget of the Pan-Arctic, and a non-trivial additional contribution on top of the combined fossil fuel emissions from the eight Arctic nations over this time period.
    Description: This study was supported through grants provided as part of the National Science Foundation’s Arctic System Science Program (NSF OPP0531047), a Department of Energy (DOE) Early Career Award (DOEBER #3ERKP818), the National Aeronautics and Space Administration’s New Investigator Program (NNX10AT66G) and the NextGeneration Ecosystem Experiments (NGEE Arctic) project supported by the Office of Biological and Environmental Research in the DOE Office of Science.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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