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  • 2005-2009  (9)
  • 2005  (9)
Document type
Keywords
Years
  • 2005-2009  (9)
Year
  • 1
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 437 (2005), S. 1003-1006 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Past hydrological changes in Africa have been linked to various climatic processes, depending on region and timescale. Long-term precipitation changes in the regions of northern and southern Africa influenced by the monsoons are thought to have been governed by precessional variations in summer ...
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-02
    Keywords: Age, 14C AMS; Age, 14C calibrated, CALIB 4.4 (Stuiver et al., 2003); Age, dated; Age, dated, error to older; Age, dated, error to younger; Age, maximum/old; Age, minimum/young; Calendar age; Center for Marine Environmental Sciences; Congo Fan; DEPTH, sediment/rock; GeoB6518-1; Gravity corer (Kiel type); M47/3; MARUM; Meteor (1986); Sample code/label; SL
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-02-02
    Keywords: AGE; Alkenone, unsaturation index UK'37; Calculated; Calculated, see reference(s); Calculated from C37 alkenones (Prahl & Wakeham, 1987); Center for Marine Environmental Sciences; Congo Fan; DEPTH, sediment/rock; GeoB6518-1; Globigerinoides ruber white, δ18O; Gravity corer (Kiel type); M47/3; MARUM; Mass spectrometer Finnigan MAT 251; Mass spectrometer Finnigan MAT 252; Mass spectrometer Thermo Electron Delta plus XL; Meteor (1986); n-Alkane C29, δ13C; n-Alkane C29, δ13C, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; Sea surface temperature, annual mean; SL; δ18O, water
    Type: Dataset
    Format: text/tab-separated-values, 989 data points
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  • 4
    Publication Date: 2024-02-02
    Keywords: AEOLD; Aeolian dust sample; ALTITUDE; Center for Marine Environmental Sciences; D1; D10; D11; D12; D13; D14; D15; D16; D17; D18; D19; D20; D21; D22; D23; D24; D25; D3; D4; D5; D6; D7; D8; D9; Event label; GeoB; Geosciences, University of Bremen; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; M41/1; M41/1_D1; M41/1_D10; M41/1_D11; M41/1_D12; M41/1_D13; M41/1_D14; M41/1_D15; M41/1_D16; M41/1_D17; M41/1_D18; M41/1_D19; M41/1_D2; M41/1_D20; M41/1_D21; M41/1_D22; M41/1_D23; M41/1_D24; M41/1_D25; M41/1_D3; M41/1_D4; M41/1_D5; M41/1_D6; M41/1_D7; M41/1_D8; M41/1_D9; MARUM; Meteor (1986); Pressure, at given altitude; Time in hours; Weather Balloon; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-02-02
    Keywords: AEOLD; Aeolian dust sample; ALTITUDE; Beckman Coulter Laser diffraction particle size analyzer LS 230; Center for Marine Environmental Sciences; D1; D10; D11; D12; D13; D14; D15; D16; D17; D18; D19; D20; D21; D23; D24; D25; D3; D4; D5; D6; D7; D8; D9; Event label; GeoB; Geosciences, University of Bremen; Latitude 2; Longitude 2; M41/1; M41/1_D1; M41/1_D10; M41/1_D11; M41/1_D12; M41/1_D13; M41/1_D14; M41/1_D15; M41/1_D16; M41/1_D17; M41/1_D18; M41/1_D19; M41/1_D2; M41/1_D20; M41/1_D21; M41/1_D23; M41/1_D24; M41/1_D25; M41/1_D3; M41/1_D4; M41/1_D5; M41/1_D6; M41/1_D7; M41/1_D8; M41/1_D9; MARUM; Meteor (1986); Size fraction 0.412-0.375 µm; Size fraction 0.452-0.412 µm; Size fraction 0.496-0.452 µm; Size fraction 0.545-0.496 µm; Size fraction 0.598-0.545 µm; Size fraction 0.656-0.598 µm; Size fraction 0.721-0.656 µm; Size fraction 0.791-0.721 µm; Size fraction 0.868-0.791 µm; Size fraction 0.948-1.041 mm; Size fraction 0.953-0.868 µm; Size fraction 1.041-1.143 mm; Size fraction 1.047-0.953 µm; Size fraction 1.143-1.255 mm; Size fraction 1.149-1.047 µm; Size fraction 1.255-1.377 mm; Size fraction 1.261-1.149 µm; Size fraction 1.377-1.512 mm; Size fraction 1.384 -1.261 µm; Size fraction 1.512-1.660 mm; Size fraction 1.520-1.384 µm; Size fraction 1.668-1.520 µm; Size fraction 1.822-1.660 mm; Size fraction 1.832-1.668 µm; Size fraction 10.78-9.818 µm; Size fraction 101.1-92.09 µm; Size fraction 11.83-10.78 µm; Size fraction 111.0-101.1 µm; Size fraction 12.99-11.83 µm; Size fraction 121.8-111.0 µm; Size fraction 133.7-121.8 µm; Size fraction 14.26-12.99 µm; Size fraction 146.8-133.7 µm; Size fraction 15.65-14.26 µm; Size fraction 161.2-146.8 µm; Size fraction 17.18-15.65 µm; Size fraction 176.8-161.2 µm; Size fraction 18.86-17.18 µm; Size fraction 194.2-176.8 µm; Size fraction 2.000-1.822 mm; Size fraction 2.010-1.832 µm; Size fraction 2.207-2.010 µm; Size fraction 2.423-2.207 µm; Size fraction 2.660-2.423 µm; Size fraction 2.920-2.660 µm; Size fraction 20.70-18.86 µm; Size fraction 213.2-194.2 µm; Size fraction 213.2-234.1 µm; Size fraction 22.73-20.70 µm; Size fraction 234.1-256.8 µm; Size fraction 24.95-22.73 µm; Size fraction 256.8-282.1 µm; Size fraction 27.38-24.95 µm; Size fraction 282.1-309.6 µm; Size fraction 3.205-2.920 µm; Size fraction 3.519-3.205 µm; Size fraction 3.862-3.519 µm; Size fraction 30.07-27.38 µm; Size fraction 309.6-339.8 µm; Size fraction 33.01-30.07 µm; Size fraction 339.8-373.1 µm; Size fraction 36.24-33.01 µm; Size fraction 373.1-409.6 µm; Size fraction 39.77-36.24 µm; Size fraction 4.240-3.863 µm; Size fraction 4.655-4.240 µm; Size fraction 409.6-449.7 µm; Size fraction 43.67-39.78 µm; Size fraction 449.7-493.6 µm; Size fraction 47.94-43.67 µm; Size fraction 493.6-541.9 µm; Size fraction 5.110-4.655 µm; Size fraction 5.610-5.110 µm; Size fraction 52.62-47.94 µm; Size fraction 541.9-594.9 µm; Size fraction 57.77-52.62 µm; Size fraction 594.9-653.0 µm; Size fraction 6.158-5.611 µm; Size fraction 6.761-6.158 µm; Size fraction 63.41-57.77 µm; Size fraction 653.0-716.9 µm; Size fraction 69.62-63.41 µm; Size fraction 7.421-6.760 µm; Size fraction 716.9-786.9 µm; Size fraction 76.42-69.61 µm; Size fraction 786.9-863.9 µm; Size fraction 8.147-7.421 µm; Size fraction 8.943-8.147 µm; Size fraction 83.89-76.42 µm; Size fraction 863.9-948.2 µm; Size fraction 9.818-8.943 µm; Size fraction 92.09-83.90 µm
    Type: Dataset
    Format: text/tab-separated-values, 2256 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Scourse, James D; Marret, Fabienne; Versteegh, Gerard J M; Jansen, J H Fred; Schefuß, Enno; van der Plicht, Johannes (2005): High resolution last deglaciation record from the Congo fan reveals significance of mangrove pollen and biomarkers as indicators of shelf transgression. Quaternary Research, 64(1), 57-69, https://doi.org/10.1016/j.yqres.2005.03.002
    Publication Date: 2024-03-06
    Description: High abundances of mangrove pollen have been associated with transgressive cycles on tropical margins, but the detailed relations between systems tracts and the taphonomy of the pollen are unclear. We report here the occurrence and high abundance of Rhizophora pollen, in association with taraxerol, a Rhizophora-sourced biomarker, from a high-resolution Congo fan core covering the last deglaciation. An age model based on 14C dates enables the temporal changes in taraxerol content and the percentage frequencies and flux (pollen grains (pg)/cm**2/(10**3 yr)) of mangrove pollen to be compared quantitatively with the lateral rate of transgression across the flooding surface (derived from glacio-hydro-isostatic model output and the bathymetry of the margin). Rhizophora pollen concentrations and taraxerol content of the sediment are very strongly positively correlated with the lateral rate of transgression and indicate, independently of any sequence stratigraphic context, that mangrove pollen spikes are associated with the transgressive systems tract rather than the highstand systems tract or maximum flooding surface. Lower-resolution longer-term records from this margin indicate an association between taraxerol concentrations and transgressive rather than regressive phases. The flux of these materials to the Congo fan is interpreted as a function of the erosion of flooded mangrove swamp on the shelf and, less importantly, changing extent of mangrove habitat, during sea-level rise. Congo River palaeoflood events also result in reworking of mangrove pollen and supply to the fan, but this mechanism is subdominant. Rhizophora pollen has been underestimated in many palynological studies undertaken on cores from the African margin because of inappropriate sieve mesh size used during laboratory preparation.
    Keywords: Acacia; Alchornea; Allophylus; Altenanthera; Araliaceae; Asteraceae; Canthium; Caryophyllaceae; Cassia; Celtis; Chenopodiaceae; Cochlospermum-type; Combretaceae; Cyperaceae; DEPTH, sediment/rock; Diospyros; Dobera-type; Ebenaceae undifferentiated; Euphorbiaceae; Fagara; Ficus; Hymenocardia; Isoberlinia; Lannea; Liliaceae; Macaranga-type; Manilkara; Myrica; Myrtaceae; Nauclea; NIOZ89; Oleaceae; PC; Piston corer; Poaceae; Podocarpus; Pollen, total; Pollen indeterminata; Pseudarthria; Rhizophora; Rubiaceae; Rullia; Salvadoraceae; Sapindaceae; Schefflera; Schrebera; Securinega; Size fraction; Southeast Atlantic; Spores; Spores, monolete; Spores, trilete; Syncepalum; Syzygium; T89-16; T89-16-PC; Tamarindus; Tetrochidium; Tyro; Uapaca
    Type: Dataset
    Format: text/tab-separated-values, 423 data points
    Location Call Number Limitation Availability
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  • 7
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    PANGAEA
    In:  Supplement to: Stuut, Jan-Berend W; Zabel, Matthias; Ratmeyer, Volker; Helmke, Peer; Schefuß, Enno; Lavik, Gaute; Schneider, Ralph R (2005): Provenance of present-day eolian dust collected off NW Africa. Journal of Geophysical Research: Atmospheres, 110, D04202, https://doi.org/10.1029/2004JD005161
    Publication Date: 2024-02-02
    Description: Atmospheric dust samples collected along a transect off the West African coast have been investigated for their physical (grain-size distribution), mineralogical, and chemical (major elements) composition. On the basis of these data the samples were grouped into sets of samples that most likely originated from the same source area. In addition, shipboard-collected atmospheric meteorological data, modeled 4-day back trajectories for each sampling day and location, and Total Ozone Mapping Spectrometer aerosol index data for the time period of dust collection (February-March 1998) were combined and used to reconstruct the sources of the groups of dust samples. On the basis of these data we were able to determine the provenance of the various dust samples. It appears that the bulk of the wind-blown sediments that are deposited in the proximal equatorial Atlantic Ocean are transported in the lower level (〉~900 hPa) NE trade wind layer, which is a very dominant feature north of the Intertropical Convergence Zone (ITCZ). However, south of the surface expression of the ITCZ, down to 5°S, where surface winds are southwesterly, we still collected sediments that originated from the north and east, carried there by the NE trade wind layer, as well as by easterly winds from higher altitudes. The fact that the size of the wind-blown dust depends not only on the wind strength of the transporting agent but also on the distance to the source hampers a direct comparison of the dust's size distributions and measured wind strengths. However, a comparison between eolian dust and terrigenous sediments collected in three submarine sediment traps off the west coast of NW Africa shows that knowledge of the composition of eolian dust is a prerequisite for the interpretation of paleorecords obtained from sediment cores in the equatorial Atlantic.
    Keywords: AEOLD; Aeolian dust sample; Center for Marine Environmental Sciences; D1; D10; D11; D12; D13; D14; D15; D16; D17; D18; D19; D20; D21; D22; D23; D24; D25; D3; D4; D5; D6; D7; D8; D9; GeoB; Geosciences, University of Bremen; M41/1; M41/1_D1; M41/1_D10; M41/1_D11; M41/1_D12; M41/1_D13; M41/1_D14; M41/1_D15; M41/1_D16; M41/1_D17; M41/1_D18; M41/1_D19; M41/1_D2; M41/1_D20; M41/1_D21; M41/1_D22; M41/1_D23; M41/1_D24; M41/1_D25; M41/1_D3; M41/1_D4; M41/1_D5; M41/1_D6; M41/1_D7; M41/1_D8; M41/1_D9; MARUM; Meteor (1986)
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Schefuß, Enno; Schouten, Stefan; Schneider, Ralph R (2005): Climatic controls on central African hydrology during the last 20,000 years. Nature, 437, 1003-1006, https://doi.org/10.1038/nature03945
    Publication Date: 2024-02-02
    Description: Past hydrological changes in Africa have been linked to various climatic processes, depending on region and timescale. Long-term precipitation changes in the regions of northern and southern Africa influenced by the monsoons are thought to have been governed by precessional variations in summer insolation (Kutzbach and Liu, 1997, doi:10.1126/science.278.5337.440; Partridge et al., 1997, doi:10.1016/S0277-3791(97)00005-X). Conversely, short-term precipitation changes in the northern African tropics have been linked to North Atlantic sea surface temperature anomalies, affecting the northward extension of the Intertropical Convergence Zone and its associated rainbelt (Hastenrath, 1990, doi:10.1002/joc.3370100504, Street-Perrott and Perrott, 1990, doi:10.1038/343607a0). Our knowledge of large-scale hydrological changes in equatorial Africa and their forcing factors is, however, limited (Gasse, 2000, doi:10.1016/S0277-3791(99)00061-X). Here we analyse the isotopic composition of terrigenous plant lipids, extracted from a marine sediment core close to the Congo River mouth, in order to reconstruct past central African rainfall variations and compare this record to sea surface temperature changes in the South Atlantic Ocean. We find that central African precipitation during the past 20,000 years was mainly controlled by the difference in sea surface temperatures between the tropics and subtropics of the South Atlantic Ocean, whereas we find no evidence that changes in the position of the Intertropical Convergence Zone had a significant influence on the overall moisture availability in central Africa. We conclude that changes in ocean circulation, and hence sea surface temperature patterns, were important in modulating atmospheric moisture transport onto the central African continent.
    Keywords: Center for Marine Environmental Sciences; Congo Fan; GeoB6518-1; Gravity corer (Kiel type); M47/3; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
    Publication Date: 2024-04-16
    Keywords: AEOLD; Aeolian dust sample; ALTITUDE; Aluminium; Calculated; Calculated, see reference(s); Center for Marine Environmental Sciences; D1; D10; D11; D12; D13; D14; D15; D16; D17; D18; D19; D20; D21; D23; D24; D25; D3; D4; D5; D6; D7; D9; Event label; GeoB; Geosciences, University of Bremen; Inductively coupled plasma atomic emission spectroscope (ICP-AES); Iron; M41/1; M41/1_D1; M41/1_D10; M41/1_D11; M41/1_D12; M41/1_D13; M41/1_D14; M41/1_D15; M41/1_D16; M41/1_D17; M41/1_D18; M41/1_D19; M41/1_D2; M41/1_D20; M41/1_D21; M41/1_D23; M41/1_D24; M41/1_D25; M41/1_D3; M41/1_D4; M41/1_D5; M41/1_D6; M41/1_D7; M41/1_D9; MARUM; Meteor (1986); Mode, grain size; Potassium; Titanium; Titanium/Aluminium ratio
    Type: Dataset
    Format: text/tab-separated-values, 128 data points
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