NOAA/WDS Paleoclimatology - Yermak Plateau, Arctic Ocean 227ka Foraminifer Amino Acid Racemization Data
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Other Collections. The data include parameters of others with a geographic location of Arctic Ocean. The time period coverage is from 229000 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
- Cite as: West, G.; Kaufman, D.S.; Muschitiello, F.; Forwick, M.; Matthiessen, J.; Wollenburg, J.; O'Regan, M. (2019-11-02): NOAA/WDS Paleoclimatology - Yermak Plateau, Arctic Ocean 227ka Foraminifer Amino Acid Racemization Data. [indicate subset used]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/0dny-d516. Accessed [date].
- Please refer to Credit tab for full citation information.
- doi:10.25921/0dny-d516
- noaa-other-27812
- NCEI DSI 1200_02
- NCEI DSI 1200_01
noaa-other-27812
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Distributor | NOAA National Centers for Environmental Information
ncei.info@noaa.gov |
Dataset Point of Contact | NOAA National Centers for Environmental Information
ncei.info@noaa.gov |
Dataset Point of Contact | Data Center Contact
NOAA World Data Service for Paleoclimatology 828-271-4800 paleo@noaa.gov |
Coverage Description | Date Range: 229000 cal yr BP to 0 cal yr BP; |
Time Period | -227050 to 1950 |
Spatial Bounding Box Coordinates |
N: 81.94983
S: 81.123
E: 13.82833
W: 8.466167
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Data Presentation Form | Digital table - digital representation of facts or figures systematically displayed, especially in columns
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Dataset Progress Status | Complete - production of the data has been completed |
Data Update Frequency | Data update frequency not available |
Supplemental Information |
STUDY NOTES: Amino acid racemization (AAR) data on Neogloboquadrina pachyderma and Cassidulina neoteretis samples from marine sediment cores from the Yermak Plateau, Arctic Ocean.
ABSTRACT SUPPLIED BY ORIGINATOR: Amino acid racemization (AAR) geochronology is a powerful tool for dating Quaternary marine sediments across the globe, yet its application to Arctic Ocean sediments has been limited. Anomalous rates of AAR in foraminifera from the central Arctic were reported in previously published studies, indicating that either the rate of racemization is higher in this area, or inaccurate age models were used to constrain the sediment ages. This study investigates racemization rates in foraminifera from three well-dated sediment cores taken from the Yermak Plateau during the 2015 TRANSSIZ Expedition on RV Polarstern. D and L isomers of the amino acids, aspartic acid (Asp) and glutamic acid (Glu), were separated in samples of the planktic foraminifera, Neogloboquadrina pachyderm and the benthic species, Cassidulina neoteretis to quantify the extent of racemization. In total, 241 subsamples were analysed, extending back to Marine Isotope Stage (MIS) 7. Two previously published power functions, which relate the extent of racemization of Asp and Glu in foraminifera to sample age are revisited, and a comparison is made between the ages predicted by these calibrated age equations and independent geochronological constraints available for the cores. Our analyses reveal an excellent match between ages predicted by a global compilation of racemization rates for N. pachyderma, and confirm that a proposed Arctic-specific calibration curve is not applicable at the Yermak Plateau. These results generally support the rates of AAR determined for other cold bottom water sites, and further highlight the anomalous nature of the purportedly high rate of racemization indicated by previous analyses of central Arctic sediments. |
Purpose | Data of past climate and environment derived from unusual proxy evidence. Parameter keywords describe what was measured in this data set. Additional summary information can be found in the abstracts of papers listed in the data set citations. |
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Theme keywords | Global Change Master Directory (GCMD) Science Keywords
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Data Center keywords | Global Change Master Directory (GCMD) Data Center Keywords
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Last Modified: 2023-06-19
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