GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Language
  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: De Jonge, Cindy; Stadnitskaia, Alina; Hopmans, Ellen C; Cherkashov, Georgy A; Fedotov, Andrey; Streletskaya, Irina; Vasiliev, Alexander A; Sinninghe Damsté, Jaap S (2015): Drastic changes in the distribution of branched tetraether lipids in suspended matter and sediments from the Yenisei River and Kara Sea (Siberia): Implications for the use of brGDGT-based proxies in coastal marine sediments. Geochimica et Cosmochimica Acta, 165, 200-225, https://doi.org/10.1016/j.gca.2015.05.044
    Publication Date: 2023-05-12
    Description: The distribution of branched glycerol dialkyl glycerol tetraethers (brGDGTs) in soils has been shown to correlate with pH and mean annual air temperature. Because of this dependence brGDGTs have found an application as palaeoclimate proxies in coastal marine sediments, based on the assumption that their distribution is not altered during the transport from soils to marine systems by rivers. To study the processes acting on the brGDGT distributions, we analysed the full suite of brGDGTs, including the recently described 6-Me brGDGTs, in both the suspended particulate matter (SPM) of the Siberian Yenisei River and the SPM and sediments of its outflow in the Kara Sea. The brGDGT distribution in the SPM of the Yenisei River was fairly constant and characterized by high abundances of the 6-Me brGDGTs, reflecting their production at the neutral pH of the river water. However, the brGDGT distribution showed marked shifts in the marine system. Firstly, in the Yenisei River Mouth, the fractional abundance of the 6-Me brGDGTs decreases sharply. The brGDGT signature in the Yenisei River Mouth possibly reflects brGDGTs delivered during the spring floods that may carry a different distribution. Also, coastal cliffs were shown to contain brGDGTs and to influence especially those sites without major river inputs (e.g. Khalmyer Bay). Further removed from the river mouth, in-situ production of brGDGTs in the marine system influences the distribution. However, also the fractional abundance of the tetramethylated brGDGT Ia increases, resulting in a distribution that is distinct from in-situ produced signals at similar latitudes (Svalbard). We suggest that this shift may be caused by preferential degradation of labile (riverine in-situ produced) brGDGTs and the subsequent enrichment in less labile (soil) material. The offshore distribution indeed agrees with the brGDGT distribution encountered in a lowland peat. This implies that the offshore Kara Sea sediments possibly carry a soil-dominated signal, indicating potential for palaeoclimate reconstructions at this site. Both in the river system and coastal cliffs, brGDGTs were much more abundant than crenarchaeol, an archaeal isoprenoid GDGT, resulting in high (〉0.93) Branched and Isoprenoid Tetraether (BIT) index values. Moving downstream in the marine sediments, a decrease in brGDGT concentrations, coeval with an increase in crenarchaeol, resulted in decreasing BIT index values. This decrease correlates with changes in bulk proxies for terrigenous input (d13Corg, C/N), confirming the use of the BIT index to trace the delivery of river-transported and coastal cliff-derived terrigenous organic matter.
    Keywords: NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University
    Type: Dataset
    Format: application/zip, 5 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-05-12
    Keywords: Carbon, organic, particulate; DEPTH, water; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; Mountain River, Siberia, Russia; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_MR1; Siberia_MR2; Siberia_OO1; Siberia_OO2; Siberia_SR1; Siberia_YG1; Siberia_YG2a; Siberia_YG2b; Siberia_YG3; Siberia_YG4; Siberia_YG5; Siberia_YG6; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM1; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YM5; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia_YR1; Siberia_YR2; Siberia_YR3; Siberia_YR4; Siberia_YR5; Siberia_YR6; Siberia_YR7; Siberia_YR8; Siberia_YR9; Yenisei, Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 65 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-05-12
    Keywords: Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Calculated after Hopmans et al. (2004); Crenarchaeol, per unit mass total organic carbon; DEPTH, water; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; Mountain River, Siberia, Russia; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; pH; Reconstructed; Sample type; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_MR1; Siberia_MR2; Siberia_OO1; Siberia_OO2; Siberia_SR1; Siberia_YG1; Siberia_YG2a; Siberia_YG2b; Siberia_YG3; Siberia_YG4; Siberia_YG5; Siberia_YG6; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM1; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YM5; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia_YR1; Siberia_YR2; Siberia_YR3; Siberia_YR4; Siberia_YR5; Siberia_YR6; Siberia_YR7; Siberia_YR8; Siberia_YR9; Temperature, annual mean; Yenisei, Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia
    Type: Dataset
    Format: text/tab-separated-values, 1106 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-05-12
    Keywords: Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Calculated after Hopmans et al. (2004); Crenarchaeol, per unit mass total organic carbon; DEPTH, sediment/rock; Elevation of event; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Ob outflow, Siberia, Russia; pH; Reconstructed; Sample type; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_OO1; Siberia_OO2; Siberia_YG1; Siberia_YG2b; Siberia_YG3; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YO1; Siberia_YO2; Siberia_YO3; Temperature, annual mean; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia
    Type: Dataset
    Format: text/tab-separated-values, 919 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2023-05-12
    Keywords: Carbon, organic, total; DEPTH, sediment/rock; Elevation of event; Event label; Kara Sea; Khalmyer Bay, Siberia, Russia; Latitude of event; Location of event; Longitude of event; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Nitrogen, total; Ob outflow, Siberia, Russia; Siberia_CC_YG1; Siberia_CC_YG2; Siberia_CC_YG3; Siberia_CC_YM1; Siberia_CC_YM2; Siberia_CC_YM3; Siberia_CC_YM4; Siberia_CC_YM6; Siberia_CC_YM8; Siberia_CC_YM9; Siberia_KB1; Siberia_KB2; Siberia_KB3; Siberia_KB4; Siberia_KG1; Siberia_KG2; Siberia_KS1; Siberia_KS2; Siberia_KS3; Siberia_KS4; Siberia_OO1; Siberia_OO2; Siberia_YG1; Siberia_YG2b; Siberia_YG3; Siberia_YG7; Siberia_YG8; Siberia_YG9; Siberia_YM2; Siberia_YM3; Siberia_YM4; Siberia_YO1; Siberia_YO2; Siberia_YO3; Siberia, Russia; Yenisei Gulf, Siberia, Russia; Yenisei Outflow, Siberia, Russia; Yenisei River Mouth, Siberia, Russia; δ13C, organic carbon; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 136 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2023-05-12
    Keywords: Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Branched glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Calculated after Hopmans et al. (2004); Comment of event; Crenarchaeol, per unit mass total organic carbon; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; pH; Reconstructed; Siberia_CC_YG1; Siberia_CC_YG2; Siberia_CC_YG3; Siberia_CC_YM1; Siberia_CC_YM2; Siberia_CC_YM3; Siberia_CC_YM4; Siberia_CC_YM5; Siberia_CC_YM6; Siberia_CC_YM7; Siberia_CC_YM8; Siberia_CC_YM9; Siberia, Russia; Temperature, annual mean
    Type: Dataset
    Format: text/tab-separated-values, 219 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Romanovsky, Vladimir E; Drozdov, Dimitry S; Oberman, Naum G; Malkova, G V; Kholodov, Alexander L; Marchenko, S S; Moskalenko, Nataliya G; Sergeev, D O; Ukraintseva, N G; Abramov, A A; Gilichinsky, David A; Vasiliev, Alexander A (2010): Thermal state of permafrost in Russia. Permafrost and Periglacial Processes, 21(2), 136-155, https://doi.org/10.1002/ppp.683
    Publication Date: 2023-12-13
    Description: The results of the International Permafrost Association's International Polar Year Thermal State of Permafrost (TSP) project are presented based on field measurements from Russia during the IPY years (2007-09) and collected historical data. Most ground temperatures measured in existing and new boreholes show a substantial warming during the last 20 to 30 years. The magnitude of the warming varied with location, but was typically from 0.5°C to 2°C at the depth of zero annual amplitude. Thawing of Little Ice Age permafrost is ongoing at many locations. There are some indications that the late Holocene permafrost has begun to thaw at some undisturbed locations in northeastern Europe and northwest Siberia. Thawing of permafrost is most noticeable within the discontinuous permafrost domain. However, permafrost in Russia is also starting to thaw at some limited locations in the continuous permafrost zone. As a result, a northward displacement of the boundary between continuous and discontinuous permafrost zones was observed. This data set will serve as a baseline against which to measure changes of near-surface permafrost temperatures and permafrost boundaries, to validate climate model scenarios, and for temperature reanalysis.
    Keywords: Area/locality; Bolvansky_51; Bolvansky_53; Bolvansky_54; Bolvansky_55; Bolvansky_56; Bolvansky_59; Bolvansky_60; Bolvansky_61; Bolvansky_65; Bolvansky_66; Bolvansky_83; DEPTH, sediment/rock; Description; Elevation of event; Event label; International Polar Year (2007-2008); IPY; Latitude of event; Longitude of event; Nadym_1; Nadym_11; Nadym_12; Nadym_14; Nadym_23; N-Yakutia_11-03; N-Yakutia_14_79; N-Yakutia_2-07; N-Yakutia_208; N-Yakutia_4-07; N-Yakutia_5_06; N-Yakutia_5-07; N-Yakutia_IV04; N-Yakutia_R33; N-Yakutia_Tiksi; PERM; Russia; Sample ID; Sampling permafrost; Temperature, ground, annual mean; Time coverage; Tr-Baykal_38; Tr-Baykal_6; Tr-Baykal_Most-1; Urengoy_15-03; Urengoy_15-06; Urengoy_15-08; Urengoy_15-20; Urengoy_15-21; Urengoy_5-01; Urengoy_5-08; Urengoy_5-09; Urengoy_5-25; Urengoy_5-28; Vorkuta_BK-1615; Vorkuta_DS-3; Vorkuta_KT-3b; Vorkuta_P-57; Vorkuta_P-92; Vorkuta_YA-1; Vorkuta_ZS-124
    Type: Dataset
    Format: text/tab-separated-values, 230 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    facet.materialart.
    Unknown
    JOHN WILEY & SONS LTD
    In:  EPIC3Permafrost and Periglacial Processes, JOHN WILEY & SONS LTD, 31(3), pp. 442-453, ISSN: 1045-6740
    Publication Date: 2020-08-16
    Description: Submarine permafrost is perennially cryotic earth material that lies offshore. Most submarine permafrost is relict terrestrial permafrost beneath the Arctic shelf seas, was inundated after the last glaciation, and has been warming and thawing ever since. As a reservoir and confining layer for gas hydrates, it has the potential to release greenhouse gasses and impact coastal infrastructure, but its distribution and rate of thaw are poorly constrained by observational data. Lengthening summers, reduced sea ice extent and increased solar heating will increase water temperatures and thaw rates. Observations of gas release from the East Siberian shelf and high methane concentrations in the water column and air above it have been attributed to flowpaths created in thawing permafrost. In this context, it is important to understand the distribution and state of submarine permafrost and how they are changing. We assemble recent and historical drilling data on regional submarine permafrost degradation rates and review recent studies that use modelling, geophysical mapping and geomorphology to characterize submarine permafrost. Implications for submarine permafrost thawing are discussed within the context of methane cycling in the Arctic Ocean and global climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2020-01-19
    Description: This data set contains a first‐order estimate of distribution, thickness and ice-content of submarine permafrost on the Arctic shelf based on a numerical heat transfer model. Our model uses dynamic upper boundary conditions that synthesize Earth System Model air temperature, ice mass distribution and thickness, and global sea level reconstruction and applies globally distributed geothermal heat flux as a lower boundary condition. Sea level reconstruction accounts for differences between marine and terrestrial sedimentation history. Sediment composition and pore water salinity are integrated in the model. Model runs for 450 ka for cross‐shelf transects were used to initialize the model for circumarctic modeling for the past 50 ka.This data set consists of current sea levels, and permafrost depth [m below sea floor(m bsf)], total ice-content [m^2 / m^3] and enthalpy [MJ / m^2] at times 50ka, 25ka and 0a before industrialization for 15892 locations on the Arctic shelf. Additionally zonations for permafrost depth and ice-content are given as layer files. Based on the undertaken sensitivity studies zones with 〈100m permafrost are uncertain, zones with 100-300m are probable, and zones with 〉300m are confident.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2020-08-30
    Description: The cover image is based on the Original Article* Recent Advances in the Study of Arctic Submarine Permafrost by Michael Angelopoulos** et al., https://doi.org/10.1002/ppp.2061.*** Source Credit: GRID‐Arendal; Overduin, et al. (2019); Obu, et al. (2019). This map was produced as part of the Nunataryuk project, which has received funding under the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 773421.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Miscellaneous , notRev , info:eu-repo/semantics/other
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...