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  • 2010-2014  (8)
  • 2005-2009  (6)
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  • 1
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    (Table 2b) Age model of ODP Hole 151-911A (2009)
    PANGAEA
    Details
    Publication Date: 2024-01-09
    Keywords: 151-911A; Age, comment; Age model; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Joides Resolution; Leg151; North Greenland Sea; Ocean Drilling Program; ODP; Reference/source; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    (Table 2c) Age model of ODP Hole 151-908A (2009)
    PANGAEA
    Details
    Publication Date: 2024-01-09
    Keywords: 151-908A; Age, comment; Age model; Comment; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Joides Resolution; Leg151; North Greenland Sea; Ocean Drilling Program; ODP; Reference/source; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    (Table 2d) Age model of ODP Hole 151-909C (2009)
    PANGAEA
    Details
    Publication Date: 2024-01-09
    Keywords: 151-909C; Age, comment; Age model; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Joides Resolution; Leg151; North Greenland Sea; Ocean Drilling Program; ODP; Reference/source; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Palynological analyses of the sediments around the Miocene/Pliocene boundary in ODP Hole 151-911A (2014)
    PANGAEA
    In:  Supplement to: Grøsfjeld, Kari; De Schepper, Stijn; Fabian, Karl; Husum, Katrine; Baranwal, Soma; Andreassen, Karin; Knies, Jochen (2014): Dating and palaeoenvironmental reconstruction of the sediments around the Miocene/Pliocene boundary in Yermak Plateau ODP Hole 911A using marine palynology. Palaeogeography, Palaeoclimatology, Palaeoecology, 414, 382-402, https://doi.org/10.1016/j.palaeo.2014.08.028
    Details
    Publication Date: 2024-01-09
    Description: The late Neogene evolution of the Arctic to Subarctic region is poorly understood due to few available records and poor age control. At the margin of the Arctic Ocean, Yermak Plateau Ocean Drilling Program (ODP) Hole 911A is strategically located for establishing a stratigraphic framework for the Arctic. Here we present dinoflagellate cyst and acritarch data from 24 stratigraphic levels in the lower part (474.26-505.64 metres below the seafloor (mbsf)) of ODP Hole 911A. The marine palynomorphs indicate a latest Miocene to earliest Pliocene age (between 5.8 and 5.0 Ma) for the base of the hole based on the co-occurrence of the dinoflagellate cyst Barssidinium evangelineae and acritarch Lavradosphaera crista. Our age estimate for the sediments can possibly be further refined to 5.0-5.33 Ma based on the presence of Achomosphaera andalousiensis suttonensis, which apparently has a range restricted to the Pliocene. An age close to the Miocene/Pliocene boundary agrees with the planktonic foraminifer data. Together with recently available magnetostratigraphic data, the base of the hole is likely to be placed at ~5.2 Ma. This new chronostratigraphy is a first step towards a better understanding of the late Neogene palaeoenvironment for the Yermak Plateau and also for the wider Arctic to Subarctic region. The terrestrial and fresh water palynomorphs were most likely redistributed and/or displaced from the shelf towards deeper parts of the basin during contourite deposition under the influence of the West Spitsbergen Current. The in situ marine dinoflagellate cyst assemblage contains a mixture of cool water and thermophilic taxa, indicating sea-ice free, cool-temperate, warmer than present conditions at the Yermak Plateau. Rivers were likely the source for the freshwater influence.
    Keywords: 151-911A; Achomosphaera andalousiensis andalousiensis; Achomosphaera andalousiensis suttonensis; Acritarcha; Acritarcha, standard error; Acritarcha indeterminata; Acritarcha per unit mass; Amiculosphaera umbraculum; Barssidinium evangelineae; Barssidinium graminosum; Barssidinium pliocenicum; Barssidinium spp.; Bitectatodinium raedwaldii; Bitectatodinium tepikiense; Botryococcus spp.; Brigantedinium spp.; Cymatiosphaera invaginata; Cymatiosphaera spp.; DEPTH, sediment/rock; Dinoflagellate cyst; Dinoflagellate cyst, standard error; Dinoflagellate cyst indeterminata; Dinoflagellate cyst per unit mass; Dinoflagellate cyst reworked; Dinoflagellate cyst reworked, standard error; Dinoflagellate cyst reworked per unit mass; DRILL; Drilling/drill rig; Dry mass; DSDP/ODP/IODP sample designation; Echinidinium euaxum; Filisphaera filifera; Filisphaera microornata; Foraminifera, linings; Habibacysta tectata; Impagidinium aculeatum; Impagidinium pallidum; Impagidinium patulum; Impagidinium sp.; Impagidinium spp.; Invertocysta lacrymosa; Invertocysta tabulata; Joides Resolution; Laboratory code/label; Lavradosphaera crista; Lavradosphaera lucifer; Leg151; Lejeunecysta mariae; Lejeunecysta spp.; Lingulodinium machaerophorum; Lycopodium clavatum, standard deviation; Lycopodium clavatum markers counted; Lycopodium clavatum spores per tablet; Lycopodium tablets; Nematosphaeropsis labyrinthus; North Greenland Sea; Number of taxa; Ocean Drilling Program; ODP; Operculodinium? eirikianum crebrum; Operculodinium? eirikianum eirikianum; Operculodinium centrocarpum; Operculodinium sp.; Pediastrum spp.; Pentapharsodinium dalei; Protoceratium reticulatum; Sample code/label; Selenopemphix dionaeacysta; Spiniferites elongatus; Spiniferites falcipedius; Spiniferites spp.; Sumatradinium sp.; Tasmanites; Trinovantedinium glorianum; Trinovantedinium variabile
    Type: Dataset
    Format: text/tab-separated-values, 1521 data points
    Location Call Number Limitation Availability
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  • 5
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    (Table 2e) Age model of ODP Site 162-986 (2009)
    PANGAEA
    Details
    Publication Date: 2024-01-09
    Keywords: 162-986C; 162-986D; Age, comment; Age model; Comment; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Event label; Joides Resolution; Leg162; North Greenland Sea; Ocean Drilling Program; ODP; Reference/source; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 61 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Radiocarbon ages and clay minerals in sediment cores obtained during a 2009 Jan Mayen cruise to the Norwegian Sea (2012)
    PANGAEA
    In:  Supplement to: Rüther, Denise C; Bjarnadóttir, Lilja Rún; Junttila, Juho; Husum, Katrine; Rasmussen, Tine Lander; Lucchi, Renata G; Andreassen, Karin (2012): Pattern and timing of the northwestern Barents Sea Ice Sheet deglaciation and indications of episodic Holocene deposition. Boreas, 41(3), 494-512, https://doi.org/10.1111/j.1502-3885.2011.00244.x
    Details
    Publication Date: 2023-12-13
    Description: The origin of two acoustic sediment units has been studied based on lithological facies, chronology and benthic stable isotope values as well as on foraminifera and clay mineral assemblages in six marine sediment cores from Kveithola, a small trough west of Spitsbergenbanken on the western Barents Sea margin. We have identified four time slices with characteristic sedimentary environments. Before c. 14.2 cal. ka, rhythmically laminated muds indicate extensive sea ice cover in the area. From c. 13.9 to 14.2 cal. ka, muds rich in ice-rafted debris were deposited during the disintegration of grounded ice on Spitsbergenbanken. From c. 10.3 to 13.1 cal. ka, sediments with heterogeneous lithologies suggest a shifting influence of suspension settling and iceberg rafting, probably derived from a decaying Barents Sea Ice Sheet in the inner-fjord and land areas to the north of Kveithola. Holocene deposition was episodic and characterized by the deposition of calcareous sands and shell debris, indicative of strong bottom currents. We speculate that a marked erosional boundary at c. 8.2 cal. ka may have been caused by the Storegga tsunami. Whilst deposition was sparse during the Holocene, Kveithola acted as a sediment trap during the preceding deglaciation. Investigation of the deglacial sediments provides unprecedented details on the dynamics and timing of glacial retreat from Spitsbergenbanken.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Age models of ODP sites from the Barents Sea-Svalbard region (2009)
    PANGAEA
    In:  Supplement to: Knies, Jochen; Matthiessen, Jens; Vogt, Christoph; Laberg, Jan Sverre; Hjelstuen, Berit O; Smelror, Morten; Larsen, Eiliv; Andreassen, Karin; Eidvin, Tor; Vorren, Tore O (2009): The Plio-Pleistocene glaciation of the Barents Sea–Svalbard region: a new model based on revised chronostratigraphy. Quaternary Science Reviews, 28(9-10), 812-829, https://doi.org/10.1016/j.quascirev.2008.12.002
    Details
    Publication Date: 2024-01-09
    Description: Based on a revised chronostratigraphy, and compilation of borehole data from the Barents Sea continental margin, a coherent glaciation model is proposed for the Barents Sea ice sheet over the past 3.5 million years (Ma). Three phases of ice growth are suggested: (1) The initial build-up phase, covering mountainous regions and reaching the coastline/shelf edge in the northern Barents Sea during short-term glacial intensification, is concomitant with the onset of the Northern Hemisphere Glaciation (3.6-2.4 Ma). (2) A transitional growth phase (2.4-1.0 Ma), during which the ice sheet expanded towards the southern Barents Sea and reached the northwestern Kara Sea. This is inferred from step-wise decrease of Siberian river-supplied smectite-rich sediments, likely caused by ice sheet blockade and possibly reduced sea ice formation in the Kara Sea as well as glacigenic wedge growth along the northwestern Barents Sea margin hampering entrainment and transport of sea ice sediments to the Arctic-Atlantic gateway. (3) Finally, large-scale glaciation in the Barents Sea occurred after 1 Ma with repeated advances to the shelf edge. The timing is inferred from ice grounding on the Yermak Plateau at about 0.95 Ma, and higher frequencies of gravity-driven mass movements along the western Barents Sea margin associated with expansive glacial growth.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 8
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    (Table 2a) Age model of ODP Hole 151-910A (2009)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: 151-910A; Age, comment; Age model; Age model, optional; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Joides Resolution; Leg151; North Greenland Sea; Ocean Drilling Program; ODP; Reference/source; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 107 data points
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  • 9
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    Subglacial roughness of the former Barents Sea ice sheet (2013)
    Wiley
    In:  EPIC3Journal of Geophysical Research-Earth Surface, Wiley, 118(4), pp. 2546-2556, ISSN: 0148-0227
    Details
    Publication Date: 2016-11-15
    Description: The roughness of a glacier bed has high importance for the estimation of the sliding velocity and can also provide valuable insights into the dynamics and history of ice sheets, depending on scale. Measurement of basal properties in present-day ice sheets is restricted to ground-penetrating radar and seismics, with surveys retrieving relatively coarse data sets. Deglaciated areas, like the Barents Sea, can be surveyed by shipborne 2-D and 3-D seismics and multibeam sonar and provide the possibility of studying the basal roughness of former ice sheets and ice streams with high resolution. Here, for the first time, we quantify the subglacial roughness of the former Barents Sea ice sheet by estimating the spectral roughness of the basal topography. We also make deductions about the past flow directions by investigating how the roughness varies along a 2-D line as the orientation of the line changes. Lastly, we investigate how the estimated basal roughness is affected by the resolution of the basal topography data set by comparing the spectral roughness along a cross section using various sampling intervals. We find that the roughness typically varies on a similar scale as for other previously marine-inundated areas in West Antarctica, with subglacial troughs having very low roughness, consistent with fast ice flow and high rates of basal erosion. The resolution of the data set seems to be of minor importance when comparing roughness indices calculated with a fixed profile length. A strong dependence on track orientation is shown for all wavelengths, with profiles having higher roughness across former flow directions than along them.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
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    The effect of sedimentation in a subglacial lake on the dynamics of an artificial ice stream (2013)
    In:  EPIC3AGU Fall Meeting, San Francisco, 2013-12-09-2013-12-13
    Details
    Publication Date: 2016-12-13
    Description: As ice flows over a subglacial lake, the drop in bed resistance leads to an increase in ice velocity and a subsequent lowering of the ice surface in the vicinity of the upstream lake edge. Conversely, at the downstream end of the lake a small hump is observed as the ice velocity decreases near the point of contact with land. There are two contributions arising from the ice/lake interaction: (1) changes in the thermal regime that propagate downwards with the advection of ice and (2) the increase in flow speeds caused by basal sliding over the lake surface. Sediment transport from upstream areas into subglacial lakes changes their size, thus reducing the area of the ice/lake interface. Here, we aim to study the effect that this reduction in size has on the flow dynamics and the surface elevation of an artificial ice stream and the temporal evolution of this effect. To this end, we use a full-Stokes, polythermal ice flow model, implemented into the commercial finite element software COMSOL Multiphysics. An enthalpy gradient method is used in order to account for the evolution of temperature and water content within the ice. This conceptual model uses prescribed boundary velocity and temperature profiles and a Weertman-type sliding law with a fixed parameter combination. In order to separate the effect of the slow thermal contribution from the fast mechanical one, we will present sensitivity tests that additionally involve a thermally-constant flow.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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