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  • 1990-1994  (1,577,931)
  • 1950-1954  (228,318)
  • 1940-1944  (110,020)
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  • 1
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    PANGAEA
    In:  Supplement to: Pivel, Maria Alejandra G; Santarosa, Ana Cláudia Aoki; Toledo, Felipe Antonio de L; Costa, Karen Badaraco (2013): The Holocene onset in the southwestern South Atlantic. Palaeogeography, Palaeoclimatology, Palaeoecology, 374, 164-172, https://doi.org/10.1016/j.palaeo.2013.01.014
    Publication Date: 2024-07-04
    Description: In this paper we present a paleoceanographic reconstruction of the southwestern South Atlantic for the past 13 kyr based on faunal and isotopic analysis of planktonic foraminifera from a high-resolution core retrieved at the South Brazil Bight continental slope. Our record indicates that oceanographic changes in the southwestern South Atlantic during the onset of the Holocene were comparable in strength to those that occurred during the Younger Dryas. Full interglacial conditions started abruptly after 8.2 kyr BP with a sharp change in faunal composition and surface hydrography (SST and SSS). Part of the observed events may be explained in terms of changes in thermohaline circulation while the other part suggests a dominant role of winds. Our data indicate that during the Early Holocene upwelling was significantly strengthened in the South Brazil Bight promoting high productivity and preventing the establishment of the typically interglacial menardiiform species. In general terms, oceanographic changes recorded by core KF02 occurred in synchrony with Antarctica's climate.
    Keywords: CDRILL; Core drilling; LaPAS-KF02; South Atlantic
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2024-07-04
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, 14C milieu/reservoir corrected; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; CDRILL; Core drilling; DEPTH, sediment/rock; LaPAS-KF02; South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 3
    Publication Date: 2024-07-04
    Keywords: AGE; Artificial Neural Network Technique (ANN) (Malmgren and Nordlund, 1997); Calculated; CDRILL; Core drilling; Counting 〉150 µm fraction; DEPTH, sediment/rock; Foraminifera, benthic; Globigerinella calida; Globigerinoides ruber white, δ18O; Globorotalia inflata; Globorotalia menardii group; Globorotalia truncatulinoides dextral; LaPAS-KF02; Mass spectrometer Finnigan MAT 252; Neogloboquadrina dutertrei; Neogloboquadrina pachyderma dextral; Ostracoda; Sea surface salinity; Sea surface temperature, annual mean; Sea surface temperature, annual mean, standard deviation; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Sea surface temperature, winter; Sea surface temperature, winter, standard deviation; South Atlantic; δ18O, ice volume effect; δ18O, reconstructed; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 2222 data points
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  • 4
    Publication Date: 2024-07-04
    Keywords: 306-U1314; Accumulation rate, planktic foraminifera by number; AGE; COMPCORE; Composite Core; Counting 〉150 µm fraction; DEPTH, sediment/rock; Exp306; Foraminifera, planktic; Foraminifera, planktic, subtropical; Globigerina bulloides; Globigerinita glutinata; Globorotalia inflata; Globorotalia scitula; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Joides Resolution; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; North Atlantic; North Atlantic Climate 2; Turborotalita quinqueloba
    Type: Dataset
    Format: text/tab-separated-values, 3450 data points
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  • 5
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    Paleontological Society
    Publication Date: 2024-07-04
    Description: The underlying basis for Mg/Ca paleothermometry is that the amount of magnesium in calcite precipitated from seawater is dependent on temperature. Here we review the state of the art of the Mg/Ca seawater paleotemperature proxy, summarized by the following: 1) Calcite, whether formed abiotically or biologically as foraminifera and ostracode shells, incörporates variable amounts of magnesium into the crystal structure. 2) Uptake of Mg varies positively with temperature. 3) The relationship between temperature and the amount of Mg in calcite has been quantified by experiments on synthetic calcite growth and by culture, core top, and sediment trap experiments using living organisms. 4) The most careful calibrations of the Mg/Ca paleothermometer have been done for planktic foraminifera, then benthic foraminifera; there are species-specific variations in the amount of Mg incorporated into foraminifera shells. 5) The Mg/Ca ratio of calcite from planktic foraminifera in deep-sea cores has been widely used to interpret sea surface temperatures. 6) Measurement of both Mg/Ca and δ18O in planktic foraminifera have been used to calculate δ18O in seawater, and after correction for global ice volume, salinity could be inferred. 7) Mg/Ca from benthic foraminifera have been used to reconstruct deep-sea temperatures and cooling of ~12°C over the last 50 million years. 8) One problem with the Mg/Ca seawater temperature proxy is partial dissolution of. foraminifer shells, which lowers the Mg/Ca, and leads to an underestimation of ocean temperature. Benthic foraminifers appear to be more resistant to partial dissolution. 9) Past changes in the Mg/Ca ratio of seawater are an important factor in determining the amount of Mg in fossil skeletal calcite, and thus add another variable to the Mg/Ca temperature proxy. All Mg/Ca paleotemperature studies on fossil calcite older than Pleistocene should take into account the Mg/Ca of the seawater from which it precipitated.
    Type: Book chapter , PeerReviewed
    Format: text
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  • 6
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    PANGAEA
    In:  Institute for the Study of Earth, Oceans & Space, University of New Hampshire
    Publication Date: 2024-07-03
    Keywords: 33GC20040728-track; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gulf Challenger; LATITUDE; LONGITUDE; Pressure, atmospheric; Pressure, atmospheric, interpolated; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; UNH_CO2_20040728; xCO2 (water) at equilibrator temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 8819 data points
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  • 7
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    PANGAEA
    In:  Institute for the Study of Earth, Oceans & Space, University of New Hampshire
    Publication Date: 2024-07-03
    Keywords: 33GC20040816-track; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gulf Challenger; LATITUDE; LONGITUDE; Pressure, atmospheric; Pressure, atmospheric, interpolated; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; UNH_CO2_20040816; xCO2 (water) at equilibrator temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 16320 data points
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  • 8
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    PANGAEA
    In:  Institute for the Study of Earth, Oceans & Space, University of New Hampshire
    Publication Date: 2024-07-03
    Keywords: 33GC20040924-track; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gulf Challenger; LATITUDE; LONGITUDE; Pressure, atmospheric; Pressure, atmospheric, interpolated; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; UNH_CO2_20040924; xCO2 (water) at equilibrator temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 15292 data points
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  • 9
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    PANGAEA
    In:  Institute for the Study of Earth, Oceans & Space, University of New Hampshire
    Publication Date: 2024-07-03
    Keywords: 33GC20040730-track; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gulf Challenger; LATITUDE; LONGITUDE; Pressure, atmospheric; Pressure, atmospheric, interpolated; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; UNH_CO2_20040730; xCO2 (water) at equilibrator temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 4492 data points
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  • 10
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    PANGAEA
    In:  Institute for the Study of Earth, Oceans & Space, University of New Hampshire
    Publication Date: 2024-07-03
    Keywords: 33GC20041104-track; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gulf Challenger; LATITUDE; LONGITUDE; Pressure, atmospheric; Pressure, atmospheric, interpolated; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; UNH_CO2_20041104; xCO2 (water) at equilibrator temperature (dry air)
    Type: Dataset
    Format: text/tab-separated-values, 16757 data points
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