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  • 1
    Online Resource
    Online Resource
    The Argentina Continental Margin : A Potential Paleoclimatic-Paleoceanographic Archive for the Southern Ocean (2017)
    Cham : Springer
    Details Availability
    Keywords: Earth sciences ; Paleontology ; Sedimentology ; Oceanography ; Geomorphology ; Earth Sciences ; Argentinien ; Schelfmeer ; Schelf ; Geologie ; Falklandinseln ; Süd-Orkney-Inseln ; Südgeorgien ; Süd-Sandwich-Inseln ; Schelf ; Geologie
    Description / Table of Contents: The evolution of the Argentina Continental Margin during the Quaternary and the stratigraphic and morphosedimentary configuration responded to climatic variability, oceanographic changes, glacioeustatic fluctuations and tectono-isostatic processes, which began to impact on the margin during previous geological periods. The final modeling of the margin was achieved in the late Miocene, when the interaction between the Antarctic and North Atlantic water-masses favored climatic and oceanographic changes with a profound effect on morphosedimentary features. In the Quaternary, the different regions of the margin distinctly responded to such changes. Whereas in the shelf the main modeling factors were the sea-level fluctuations of glacioeustatic origin and consequent marine-continental stratigraphic records, in the slope (particularly in the sector corresponding to the passive margin) the prevailing effect was the interaction between water-masses and the sea floor, giving origin to contouritic depositional systems accompanied of gravity processes responsible of turbiditic and mass-wasting deposits. Different relationships between contouritic and turbiditic facies respond to distinct combinations of oceanic circulation variability and the indirect effect on the sea floor of sea-level fluctuations. As a result of this complexity in the regional processes in the framework of the broad hemispheric oceanographic-climatic conditioning factors, the ACM can be considered as a complete archive for the Southern Ocean
    Type of Medium: Online Resource
    Pages: Online-Ressource (XV, 117 p. 15 illus., 13 illus. in color, online resource)
    ISBN: 9783319041964
    Series Statement: SpringerBriefs in Earth System Sciences
    URL: https://doi.org/10.1007/978-3-319-04196-4
    DOI: 10.1007/978-3-319-04196-4
    Language: English
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  • 2
    Online Resource
    Online Resource
    The Argentina Continental Margin : A Potential Paleoclimatic-Paleoceanographic Archive for the Southern Ocean. (2017)
    Cham :Springer International Publishing AG,
    Details
    Keywords: Paleontology. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (129 pages)
    Edition: 1st ed.
    ISBN: 9783319041964
    Series Statement: SpringerBriefs in Earth System Sciences Series
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=4830525
    DDC: 551.4680982
    Language: English
    Note: Intro -- Contents -- Abbreviations -- List of Figures -- List of Tables -- Abstract -- 1 Introduction -- Abstract -- 2 Continental Margins in the Global Context -- Abstract -- References -- 3 The Argentina Continental Margin: Location and Significance -- Abstract -- 3.1 Geotectonic Considerations, Types of Margins and Stratigraphy -- 3.1.1 Brief History of the Margin Evolution in the Context of the Southern Hemisphere -- 3.1.2 Margin Types and Geotectonic Configuration -- 3.1.3 Stratigraphic Evidences of the Margin Evolution -- References -- 4 Morphosedimentary Configuration of the Argentina Continental Margin -- Abstract -- 4.1 Coastal Plains -- 4.2 Continental Shelf -- 4.3 Shelf Break -- 4.4 Slope -- 4.5 Rise -- 4.6 Submarine Canyons -- 4.7 Argentine Basin -- References -- 5 Climate and Oceanographic Background -- Abstract -- 5.1 Regional Climate Background -- 5.1.1 Intertropical Convergence Zone -- 5.1.2 South American Monsoon System -- 5.1.3 Southern Hemisphere Westerlies -- 5.1.4 South Atlantic Convergence Zone -- 5.2 Oceanographic Background -- 5.2.1 The Western South Atlantic and the Meridional Overturning Circulation -- 5.2.2 Western South Atlantic Main Currents -- 5.2.3 Western South Atlantic Hydrographic Structure -- References -- 6 Principles of Paleoceanographic Reconstruction -- Abstract -- 6.1 Paleoceanography and Proxy Data -- 6.2 Climate Proxies -- 6.3 Biological Proxies: Fossils as Paleoceanographic Proxies -- 6.3.1 Foraminiferida -- 6.3.2 Coccolithophorids -- 6.3.3 Dinoflagellates -- 6.3.4 Diatoms -- 6.3.5 Radiolarians -- 6.3.6 Corals -- 6.3.7 Ostracods -- 6.3.8 Mollusks -- 6.4 Biomarkers as Paleoceanographic Proxies -- 6.4.1 Alkenones -- 6.4.2 N-Alkyl-Lipids -- 6.5 Geological Proxies -- 6.5.1 Geomorphology -- 6.5.2 Sedimentary Architecture and Structures -- 6.5.3 Physical Properties -- 6.5.4 Geochemical Properties -- References. , 7 State of the Art in the Paleoceanographic Reconstructions at the Argentina Continental Margin -- Abstract -- 7.1 Reconstructions in the Continental Shelf -- 7.2 Reconstructions in the Slope and Rise -- 7.2.1 Paleoceanographic and Biostratigraphic Background Offshore the Argentina Continental Margin -- 7.2.2 Geomorphological Records -- 7.2.3 Sedimentary Architecture and Structures as Records -- 7.2.4 Physical Proxies -- 7.2.5 Geochemical Proxies -- References -- 8 Conclusions -- Abstract -- Further Readings.
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  • 3
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    Planktonic foraminifera surface sediment samples, radiocarbon dates and sediment proxies of sediment core AU_Geo02_GC20, western South Atlantic Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2023-08-19
    Description: Micropaleontological analyses from the western South Atlantic core AU_Geo02_GC20 (45° 55' S - 58°30' W, 2589 m water depth) revealed changes in the primary productivity and sea surface temperature (SST) during MIS 3 that point to significant changes in the Brazil Malvinas Confluence Zone dynamics. These changes led to a marked increase in the SST and the primary productivity between 44.0 - 36.1 ka BP, as indicated by the quantitative reconstruction of the subsurface temperature, and the high relative abundance of the planktonic foraminifera Globigerina bulloides and other planktonic-based index, such as the eutrophic index. The increase in the SST and the primary productivity could be related to frequent or more persistent southward penetration of subtropical waters over the north Patagonian margin due to a southward extension of the Brazil Current and a weakening of the Malvinas Current. The high primary productivity led to intensive use of phosphate during spring. Conversely, benthic assemblages do not reflect high surface productivity. The dominance of coccolithophorids over diatoms as primary producers, which allows inferring the shoaling of the nutricline and the thermocline, justifies the decoupling between planktonic and benthic communities as a consequence of reduced efficiency of the biological pump. The deposition of the calcareous muddy contourite facies during the period of enhanced primary productivity indicates a slowing down of the bottom circulation, probably due to a weakening of the Atlantic Meridional Overturning Circulation.
    Keywords: Center for Marine Environmental Sciences; core-tops; Foraminifera; MARUM; western South Atlantic
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
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    Total carbon, dry bulk density, and SST and phosphate reconstructions from sediment core AU_Geo02_GC20 (2023)
    PANGAEA
    Details
    Publication Date: 2023-08-19
    Keywords: AGE; AU_Geo02_GC20; Carbon, total; Density, dry bulk; DEPTH, sediment/rock; dry bulk density; GC; Gravity corer; phosphate; Phosphate; Sea surface temperature; Total Carbon
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 5
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    AMS radiocarbon dates from sediment core AU_Geo02_GC20, South Atlantic (2023)
    PANGAEA
    Details
    Publication Date: 2023-12-15
    Keywords: Age, 14C AMS; Age, calibrated; Age, dated; Age, dated, range, maximum; Age, dated, range, minimum; Age, dated material; Age, dated standard deviation; Age model; AU_Geo02_GC20; DEPTH, sediment/rock; GC; Gravity corer; Interpolated from 2 Sigma rank; radiocarbon dates; South Altantic
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 6
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    Planktonic foraminifera census count data from core-tops samples from the western South Atlantic Ocean (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: AU_Geo04_BC89; AU_Geo04_BC90; BC; Berggrenia pumilio; Box corer; Center for Marine Environmental Sciences; core-tops; Counting 〉150 µm fraction; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; Foraminifera; Foraminifera, planktic, total; Foraminifera, planktic indeterminata; GeoB22702-1; GeoB22703-1; GeoB22704-1; GeoB22706-1; GeoB22707-2; GeoB22708-3; GeoB22711-1; GeoB22712-3; GeoB22713-1; GeoB22715-1; GeoB22721-1; GeoB22722-3; GeoB22723-2; GeoB22725-1; GeoB22735-2; Giant box corer; GKG; Globigerina bulloides; Globigerina falconensis; Globigerina rubescens; Globigerinella calida; Globigerinella siphonifera; Globigerinita glutinata; Globigerinita uvula; Globigerinoides conglobatus; Globigerinoides ruber pink; Globigerinoides ruber white; Globorotalia cultrata; Globorotalia hirsuta; Globorotalia inflata; Globorotalia scitula; Globorotalia truncatulinoides; Globorotalia tumida; Latitude of event; Longitude of event; MARUM; MUC; MultiCorer; Neogloboquadrina dutertrei; Neogloboquadrina incompta; Neogloboquadrina pachyderma; Ocean; Optional event label; Orbulina universa; SO260/1; SO260/1_10-3; SO260/1_14-1; SO260/1_15-3; SO260/1_16-1; SO260/1_18-1B; SO260/1_25-1; SO260/1_27-3; SO260/1_28-2; SO260/1_3-1; SO260/1_31-1; SO260/1_4-1; SO260/1_5-1; SO260/1_8-2; SO260/1_9-2; SO260/2; SO260/2_41-2; Sonne_2; Tenuitella iota; Trilobatus sacculifer; Turborotalita humilis; Turborotalita quinqueloba; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 527 data points
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    DATA PANGAEA
  • 7
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    Calibration function of 141 surface sediment samples from the South Atlantic and the Atlantik sectorof the Southern Ocean (2015)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Keywords: A150/180; A180-76; A180-78; AT_II-15_602-10a; AT_USA; Atlantic Ocean; Atlantis (1931); Center for Marine Environmental Sciences; CIRCE; CIRCE-239; DEPTH, sediment/rock; Elevation of event; Event label; Factor 1; Factor 2; Factor 3; Factor 4; Factor 5; Factor analysis, CABFAC; FFC; Free fall corer; interpolated; Latitude of event; Longitude of event; MARUM; Melville; PC; Piston corer; RC08; RC08-16; RC08-18; RC08-22; RC08-23; RC08-27; RC08-28; RC11; RC1112; RC11-14; RC11-15; RC11-16; RC11-21; RC11-22; RC11-26; RC11-35; RC11-37; RC11-78; RC11-79; RC11-80; RC11-82; RC11-84; RC12; RC12-233; RC12-235; RC12-241; RC12-266; RC12-268; RC12-291; RC12-292; RC12-293; RC12-294; RC12-297; RC12-298; RC12-299; RC12-300; RC12-303; RC13; RC13-209; RC13-210; RC13-227; RC13-228; RC13-229; RC13-242; RC13-253; RC13-275; RC15; RC15-115; RC15-143; RC15-145; RC15-151; RC15-91; RC15-93; RC15-94; RC17; RC17-34; RC17-40; RC17-43; RC17-47; Robert Conrad; Sample code/label; Sea surface temperature, December-February; Sea surface temperature, June-August; South Atlantic Ocean; V12; V12-18; V12-43; V12-53; V12-56; V12-66; V12-79; V14; V14-47; V14-67; V14-69C; V14-7; V15; V15-136; V15-137; V15-164; V16; V16-189; V16-190; V16-31; V16-33; V16-35; V16-36; V16-37; V16-39; V16-41; V16-46; V16-47; V16-48; V16-50; V17; V17-144; V17-147; V18; V18-110; V18-117; V18-126; V18-168; V18-182; V18-183; V18-34; V19; V19-240; V19-242; V19-245; V19-246; V19-248; V19-256; V19-262; V19-283; V20; V20-213; V20-227; V20-230; V22; V22-106; V22-107; V22-168; V22-169; V22-175; V22-177; V22-179; V22-180; V22-36; V22-38; V22-71; V22-92; V22-93; V22-94; V24; V24-220; V24-221; V24-223; V24-229; V24-231; V24-235; V24-237; V24-241; V26; V26-100; V26-55; V26-63; V26-68; V27; V27-181; V27-184; V27-188; V27-190; V27-191; V27-192; V27-206; V27-215; V27-239; V29; V29-134; V29-135; V29-144; V29-97; Vema
    Type: Dataset
    Format: text/tab-separated-values, 1128 data points
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  • 8
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    Mg/Ca ratios in benthic foraminifera from surface sediments (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Today, climate change has become an issue of global significance. These changes are known to be deeply related to heat distribution and paleoceanographic variations. On the other hand, it is clear that the chemistry of benthic foraminifera shells is an irreplaceable tool to understand these changes at great depths. In this work, the differences between the magnesium assimilation in Uvigerina sp. and Cibicides wuellerstorfi. Mg/ca records from shells can be used for paleothermometry reconstruction of deep ocean currents. But it is necessary to control the impact that the carbonate ion could have on the benthic foraminiferal fauna. Here, a database containing the records of Magnesium/Calcium present in the benthic foraminifera of the western South Atlantic between 32.69°S and 47.3°S were analyzed. The study was carried out on the species of the genus Uvigerina spp. and in Cibicidoides wuellerstorfi. For sediment cores GeoB2715-1, GeoB2718-2, GeoB2727-1, GeoB6208-1, GeoB6222-2, GeoB6309-2, GeoB6330-1, GeoB6334-2 and GeoB6336-2 we used the ages originally published in Raitzsch et al. (2008, doi:10.1594/PANGAEA.759564). And for cores GeoB22702-1, GeoB22703-1, GeoB22704-1, GeoB22706-1, GeoB22707-2 -53,78333, GeoB22708-3, GeoB22712-3, GeoB22715-1, GeoB22721-1, GeoB22723-2, GeoB22725-1, GeoB22735-2, GeoB2703-6, GeoB2722-1, GeoB6212-2, GeoB6213-1, GeoB6334-1, LBV T1-2, LBV T4-1, LBV T6-1, LBV T12-1, LBV T13-2, LBV T406-2 and LBV T407-2 we used the ages originally published in García Chapori et al. (2019, doi:10.1594/PANGAEA.907931). Mg/Ca measurements were performed with inductively coupled plasma optical emission spectrometry (ICP-OES; Agilent Technologies, 700 series with ASX-520 Cetac autosampler and micronebulizer) at MARUM, University of Bremen.
    Keywords: Argentine Basin; Argentine Continental Slope; Benthic foraminifera; Carbonate chemistry; Cibicidoides wuellerstorfi, Magnesium/Calcium ratio; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Elevation of event; Event label; GC; GeoB22702-1; GeoB22703-1; GeoB22704-1; GeoB22706-1; GeoB22707-2; GeoB22708-3; GeoB22712-3; GeoB22715-1; GeoB22721-1; GeoB22723-2; GeoB22725-1; GeoB22735-2; GeoB2703-6; GeoB2715-1; GeoB2718-2; GeoB2722-1; GeoB2727-1; GeoB6208-1; GeoB6212-2; GeoB6213-1; GeoB6222-2; GeoB6309-2; GeoB6330-1; GeoB6334-1; GeoB6334-2; GeoB6336-2; Giant box corer; GKG; Gravity corer; Gravity corer (Kiel type); ICP-OES (Agilent 700); Latitude of event; LBV_T1-2; LBV_T12-1; LBV_T13-2; LBV_T406-2; LBV_T407-2; LBV_T4-1; LBV_T6-1; Longitude of event; M29/1; M46/2; M46/3; Meteor (1986); Mg/Ca paleothermometry; MUC; MultiCorer; oceanography; Optional event label; Reference/source; SL; Slope off Argentina; SO260/1; SO260/1_10-3; SO260/1_15-3; SO260/1_18-1B; SO260/1_25-1; SO260/1_28-2; SO260/1_3-1; SO260/1_31-1; SO260/1_4-1; SO260/1_5-1; SO260/1_8-2; SO260/1_9-2; SO260/2; SO260/2_41-2; Sonne_2; South Altantic; Uvigerina spp., Magnesium/Calcium ratio; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 9
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    Age and sea surface temperature of sediment core GeoB2806-4 (2015)
    PANGAEA
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    Publication Date: 2024-02-16
    Keywords: AGE; Calculated; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB2806-4; Gravity corer (Kiel type); M29/2; MARUM; Meteor (1986); Sea surface temperature, December-February; Sea surface temperature, June-August; SL; Uruguay continental margin; Variance
    Type: Dataset
    Format: text/tab-separated-values, 39 data points
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  • 10
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    (Table 1) Radiocarbon datings and respective calendar ages for core GeoB2806-4 (2015)
    PANGAEA
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    Publication Date: 2024-02-16
    Keywords: Age, 14C AMS; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, standard deviation; Center for Marine Environmental Sciences; DEPTH, sediment/rock; GeoB2806-4; Gravity corer (Kiel type); Laboratory; M29/2; MARUM; Meteor (1986); SL; Uruguay continental margin
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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