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  • Data  (25)
  • Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula  (19)
  • Center for Marine Environmental Sciences; MARUM  (6)
  • 2010-2014  (25)
  • 1970-1974
  • 1945-1949
Collection
  • Data  (25)
Keywords
Publisher
Years
Year
  • 1
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    Unknown
    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Publication Date: 2024-05-27
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Bartzke, Gerhard; Bryan, Karin R; Pilditch, Conrad A; Huhn, Katrin (2013): On the stabilizing influence of silt on sand beds. Journal of Sedimentary Research, 83(8), 691-703, https://doi.org/10.2110/jsr.2013.57
    Publication Date: 2023-03-03
    Description: In marine environments, sediments from different sources are stirred and dispersed, generating beds that are composed of mixed and layered sediments of differing grain sizes. Traditional engineering formulations used to predict erosion thresholds are however, generally for unimodal sediment distributions, and so may be inadequate for commonly occurring coastal sediments. We tested the transport behavior of deposited and mixed sediment beds consisting of a simplified two-grain fraction (silt (D50 = 55 µm) and sand (D50 = 300 µm)) in a laboratory-based annular flume with the objective of investigating the parameters controlling the stability of a sediment bed. To mimic recent deposition of particles following large storm events and the longer-term result of the incorporation of fines in coarse sediment, we designed two suites of experiments: (1) "the layering experiment": in which a sandy bed was covered by a thin layer of silt of varying thickness (0.2 - 3 mm; 0.5 - 3.7 wt %, dry weight in a layer 10 cm deep); and (2) "the mixing experiment" where the bed was composed of sand homogeneously mixed with small amounts of silt (0.07 - 0.7 wt %, dry weight). To initiate erosion and to detect a possible stabilizing effect in both settings, we increased the flow speeds in increments up to 0.30 m/s. Results showed that the sediment bed (or the underlying sand bed in the case of the layering experiment) stabilized with increasing silt composition. The increasing sediment stability was defined by a shift of the initial threshold conditions towards higher flow speeds, combined with, in the case of the mixed bed, decreasing erosion rates. Our results show that even extremely low concentrations of silt play a stabilizing role (1.4% silt (wt %) on a layered sediment bed of 10 cm thickness). In the case of a mixed sediment bed, 0.18% silt (wt %, in a sample of 10 cm depth) stabilized the bed. Both cases show that the depositional history of the sediment fractions can change the erosion characteristics of the seabed. These observations are summarized in a conceptual model that suggests that, in addition to the effect on surface roughness, silt stabilizes the sand bed by pore-space plugging and reducing the inflow in the bed, and hence increases the bed stability. Measurements of hydraulic conductivity on similar bed assemblages qualitatively supported this conclusion by showing that silt could decrease the permeability by up to 22% in the case of a layered bed and by up to 70% in the case of a mixed bed.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 11 datasets
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Ohnemueller, Frank; Prave, Anthony R; Fallick, Anthony E; Kasemann, Simone A (2014): Ocean acidification in the aftermath of the Marinoan glaciation. Geology, 42(12), 1103-1106, https://doi.org/10.1130/G35937.1
    Publication Date: 2023-03-03
    Description: Boron isotope patterns preserved in cap carbonates deposited in the aftermath of the younger Cryogenian (Marinoan, ca. 635 Ma) glaciation confirm a temporary ocean acidification event on the continental margin of the southern Congo craton, Namibia. To test the significance of this acidification event and reconstruct Earth's global seawater pH states at the Cryogenian-Ediacaran transition, we present a new boron isotope data set recorded in cap carbonates deposited on the Yangtze Platform in south China and on the Karatau microcontinent in Kazakhstan. Our compiled d11B data reveal similar ocean pH patterns for all investigated cratons and confirm the presence of a global and synchronous ocean acidification event during the Marinoan deglacial period, compatible with elevated postglacial pCO2 concentrations. Differences in the details of the ocean acidification event point to regional distinctions in the buffering capacity of Ediacaran seawater.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Voigt, Ines; Henrich, Rüdiger; Preu, Benedikt; Piola, Alberto R; Hanebuth, Till J J; Schwenk, Tilmann; Chiessi, Cristiano Mazur (2013): A submarine canyon as a climate archive — Interaction of the Antarctic Intermediate Water with the Mar del Plata Canyon (Southwest Atlantic). Marine Geology, 341, 46-57, https://doi.org/10.1016/j.margeo.2013.05.002
    Publication Date: 2023-03-03
    Description: The Mar del Plata Canyon is located at the continental margin off northern Argentina in a key intermediate and deep-water oceanographic setting. In this region, strong contour currents shape the continental margin by eroding, transporting and depositing sediments. These currents generate various depositional and erosive features which together are described as a Contourite Depositional System (CDS). The Mar del Plata Canyon intersects the CDS, and does not have any obvious connection to the shelf or to an onshore sediment source. Here we present the sedimentary processes that act in the canyon and show that continuous Holocene sedimentation is related to intermediate-water current activity. The Holocene deposits in the canyon are strongly bioturbated and consist mainly of the terrigenous "sortable silt" fraction (10-63 µm) without primary structures, similarly to drift deposits. We propose that the Mar del Plata Canyon interacts with an intermediate-depth nepheloid layer generated by the northward-flowing Antarctic Intermediate Water (AAIW). This interaction results in rapid and continuous deposition of coarse silt sediments inside the canyon with an average sedimentation rate of 160 cm/kyr during the Holocene. We conclude that the presence of the Mar del Plata Canyon decreases the transport capacity of AAIW, in particular of its deepest portion that is associated with the nepheloid layer, which in turn generates a change in the contourite deposition pattern around the canyon. Since sedimentation processes in the Mar del Plata Canyon indicate a response to changes of AAIW contour-current strength related to Late Glacial/Holocene variability, the sediments deposited within the canyon are a great climate archive for paleoceanographic reconstructions. Moreover, an additional involvement of (hemi) pelagic sediments indicates episodic productivity events in response to changes in upper ocean circulation possibly associated with Holocene changes in intensity of El Niño/Southern Oscillation.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 5
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 6
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 67 data points
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  • 7
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 140 data points
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  • 8
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
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  • 9
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 123 data points
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2023-05-13
    Keywords: Carlini/Jubany Station; Chlorophyll a; Chlorophyll a analysis (Parsons et al., 1984, Pergamon Press, Oxford); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; PotterCove_1; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 135 data points
    Location Call Number Expected Availability
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