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  • 2015-2019  (183)
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  • 1
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    PANGAEA
    In:  Supplement to: Andrews, John T; Cabedo-Sanz, Patricia; Jennings, Anne E; Olafasdottir, Saedis; Belt, Simon T; Geirsdóttir, Áslaug (2017): Sea ice, ice-rafting, and ocean climate across Denmark Strait during rapid deglaciation (~16 to 12 cal ka BP) of the Iceland and East Greenland shelves. Journal of Quaternary Science, https://doi.org/10.1002/jqs.3007
    Publication Date: 2023-01-13
    Description: Geophysical data from the Kangerlussuaq Trough, E Greenland (Dowdeswell et al., 2010; Stein, 1996), and from the West Iceland shelf (Syvitski et al., 1999) indicate that there are sites where pre Last Glacial Maximum (LGM) sediments exist, but no such sites have been successfully cored. However, a significant number of cores have been recovered that penetrate a basal diamicton, sometimes containing shells and foraminifera, and which are overlain by glacial marine sediments rich in ice rafted debris (IRD) (Jennings et al., 2000; Olafsdottir, 2004). At the LGM, reconstructions and marine field data (Andrews, 2008; Andrews et al., 1998, 2000; Dunhill, 2005; Funder et al., 2004; Hubbard et al., 2006; Vasskog et al., 2015) indicate that the Iceland and Greenland ice sheets were terminating at their shelf breaks with deposition on the slopes above the Denmark Strait. Active sediment deposition ceased on the Kangerlussuaq Trough Mouth Fan (KTMF) ca. 15.3 ka 14C BP (Andrews et al., 1998; Dunhill, 2005) and retreat to the present coastline occurred prior to deposition of the Vedde tephra (Jennings et al., 2006). There is strong evidence that a major change in deep-water circulation at ~15 cal ka BP resulted in abrupt warming at the onset of the Bølling/Allerød (B/A) interstadial (Thiagarajan et al., 2014; Thornalley et al., 2011). Syvitski et al (1999) and Norddahl and Ingolfsson (2015) argued that the Iceland Ice Sheet retreated rapidly during this time, driven by a rapid rise in relative sea level. Jennings et al. (2006) also presented radiocarbon evidence from marine cores for a rapid retreat of the Greenland Ice Sheet along Kangerlussuaq Trough (KT, Fig. 1).
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Köseoğlu, Denizcan; Belt, Simon T; Husum, Katrine; Knies, Jochen (2018): An assessment of biomarker-based multivariate classification methods versus the PIP25 index for paleo Arctic sea ice reconstruction. Organic Geochemistry, 125, 82-94, https://doi.org/10.1016/j.orggeochem.2018.08.014
    Publication Date: 2023-01-13
    Description: The development of various combinative methods for Arctic sea ice reconstruction using the sympagic highly-branched isoprenoid IP25 in conjunction with pelagic biomarkers has often facilitated more detailed descriptions of sea ice conditions than using IP25 alone. Here, we investigated the complementary application of the Phytoplankton-IP25 index (PIP25) and a recently proposed Classification Tree (CT) model for describing shifts in sea ice conditions to assess the consistency of both methods. Based on biomarker data from three downcore records from the Barents Sea spanning millennial timescales, we showcase apparent and potential limitations of both approaches, and provide recommendations for their identification or prevention. Both methods provided generally consistent outcomes and, within the studied cores, captured abrupt shifts in sea ice regimes, such as those evident during the Younger Dryas, as well as more gradual trends in sea ice conditions during the Holocene. The most significant discrepancies occurred during periods of highly unstable climate change, such as those characteristic of the Younger Dryas-Holocene transition. Such intervals of increased discrepancy were identifiable by significant changes of HBI distributions and correlations to values not observed in proximal surface sediments. We suggest that periods of highly-fluctuating climate that are not represented in modern settings may hinder the performance and complementary application of PIP25 and CT-based methods, and that data visualisation techniques should be employed to identify such occurrences in downcore records. Additionally, due to the reliance of both methods on biomarker distributions, we emphasise the importance of accurate and consistent biomarker quantification for future investigations.
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Harning, David J; Andrews, John T; Belt, Simon T; Cabedo-Sanz, Patricia; Geirsdóttir, Áslaug; Dildar, Nadia; Miller, Gifford H; Sepúlveda, Julio (2019): Sea Ice Control on Winter Subsurface Temperatures of the North Iceland Shelf During the Little Ice Age: A TEX86 Calibration Case Study. Paleoceanography and Paleoclimatology, 34(6), 1006-1021, https://doi.org/10.1029/2018PA003523
    Publication Date: 2023-02-12
    Description: Holocene paleoceanographic reconstructions along the North Iceland Shelf have employed a variety of sea surface temperature and sea ice proxies. However, these surface proxies tend to have a seasonal bias toward spring/summer and thus only provide a discrete snapshot of surface conditions during one season. Furthermore, sea surface temperature proxies can be influenced by additional confounding variables resulting in markedly different Holocene temperature reconstructions. Here, we expand Iceland's marine paleoclimate toolkit with TEX86 L: a temperature proxy based on the distribution of archaeal glycerol dibiphytanyl glycerol tetraether (GDGT) lipids. We develop a local Icelandic calibration from 21 surface sediment samples covering a wide environmental gradient across Iceland's insular shelves. Locally calibrated GDGT results demonstrate that (1) TEX86 L reflects winter subsurface (0-200 m) temperatures on the North Iceland Shelf and (2) our calibration produces more realistic temperature estimates with substantially lower uncertainty (S.E. ±4 °C) over global calibrations. We then apply this new calibration to a high‐resolution marine sediment core (last millennium) collected from the central NIS with age control constrained by 14C‐dated mollusks. To test the veracity of the GDGT subsurface temperatures, we analyze quartz and calcite wt% and a series of highly branched isoprenoid alkenes, including the sea ice biomarker IP25, from the same core. The sediment records demonstrate that the development of thick sea ice during the Little Ice Age warmed the subsurface due to winter insulation. Importantly, this observation reflects a seasonal component of the sea ice/ocean feedback to be considered for the nonlinear cooling of the Little Ice Age in and around Iceland.
    Keywords: (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; Acyclic glycerol dialkyl glycerol tetraether; Age; AGE; B997-316; Crenarchaeol; Crenarchaeol regio-isomer; DEPTH, sediment/rock; Dicyclic glycerol dialkyl glycerol tetraether; Diene II per unit sediment mass; GGC; Giant gravity corer; Glycerol dialkyl glycerol tetraethers; Monocyclic glycerol dialkyl glycerol tetraether; North Icelandic Shelf; Sample ID; Temperature, water, winter; Tetraether index of 86 carbon atoms, low-temperature region; Tricyclic glycerol dialkyl glycerol tetraether
    Type: Dataset
    Format: text/tab-separated-values, 490 data points
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  • 4
    Publication Date: 2023-06-09
    Keywords: Astrononion gallowayi; B997-338; Buccella frigida; Buccella frigida var. calida; Calcite; Calendar age; Carbon, organic, total; Carbonates; Cassidulina neoteretis; Cassidulina obtusa; Cassidulina reniforme; Cibicides lobatulus; Cibicides lobatulus, δ13C; Cibicides lobatulus, δ13C standard deviation; Cibicides lobatulus, δ18O; Cibicides lobatulus, δ18O standard deviation; Confusion Index; DEPTH, sediment/rock; Diene II per unit sediment mass; Dry unit; Elphidium excavatum; Ice rafted debris; Islandiella norcrossi; Kalifeldspar; Magnetic susceptibility, mass; Median, grain size; Mode, grain size, description; Neogloboquadrina pachyderma sinistral; Nonion labradoricum; PC; Piston corer; Quartz; Sediment type; Size fraction 〈 0.002 mm, clay; Size fraction 0.004-0.002 mm, 8.0-9.0 phi, very fine silt; Size fraction 0.008-0.004 mm, 7.0-8.0 phi, fine silt; Size fraction 0.016-0.008 mm, 6.0-7.0 phi, medium silt; Size fraction 0.032-0.016 mm, 5.0-6.0 phi, coarse silt; Size fraction 0.063-0.032 mm, 4.0-5.0 phi, very coarse silt; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand
    Type: Dataset
    Format: text/tab-separated-values, 1308 data points
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  • 5
    Publication Date: 2023-06-27
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, flux per year; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, flux per year; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,24(28)-dien-3beta-ol, flux per year; 24-Methylcholesta-5,24(28)-dien-3beta-ol, per unit mass total organic carbon; AGE; Carbon, organic, total; DEPTH, sediment/rock; GC; Gravity corer; Jan Mayen; JM09702; JM09-KA11-GC; Norwegian Sea
    Type: Dataset
    Format: text/tab-separated-values, 694 data points
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  • 6
    Publication Date: 2023-06-27
    Keywords: AGE; Calculated; Counting 100-1000 µm fraction; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, planktic; Foraminifera, planktic, flux per year; GC; Globigerina bulloides; Globigerina bulloides, flux per year; Globigerinita glutinata; Globigerinita glutinata, flux per year; Globigerinita uvula; Globigerinita uvula, flux per year; Gravity corer; Jan Mayen; JM09702; JM09-KA11-GC; Neogloboquadrina incompta; Neogloboquadrina incompta, flux per year; Neogloboquadrina pachyderma sinistral; Neogloboquadrina pachyderma sinistral, flux per year; Norwegian Sea; Turborotalita quinqueloba; Turborotalita quinqueloba, flux per year
    Type: Dataset
    Format: text/tab-separated-values, 2138 data points
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  • 7
    Publication Date: 2023-06-27
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Calendar age, standard error; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GC; Gravity corer; Jan Mayen; JM09702; JM09-KA11-GC; Laboratory code/label; Norwegian Sea
    Type: Dataset
    Format: text/tab-separated-values, 103 data points
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  • 8
    Publication Date: 2023-06-27
    Keywords: AGE; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GC; Gravity corer; Jan Mayen; JM09702; JM09-KA11-GC; Mass spectrometer, Finnigan, MAT 253; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Norwegian Sea; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 555 data points
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  • 9
    Publication Date: 2023-06-27
    Keywords: AGE; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, planktic, shell, weight; GC; Gravity corer; Jan Mayen; JM09702; JM09-KA11-GC; Measured; Norwegian Sea; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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  • 10
    Publication Date: 2023-06-27
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; AGE; Classification tree (CT) model; DEPTH, sediment/rock; GC; Gravity corer; Highly branched isoprenoids per unit sediment mass; Jan Mayen; JM09702; JM09-KA11-GC; Norwegian Sea; Phytoplankton biomarker C25 HBI (Z) triene IP25 index; Sea ice concentration; Sea ice type
    Type: Dataset
    Format: text/tab-separated-values, 812 data points
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