South Pole high resolution ice core water stable isotope record for dD, d18O

Isotopic data for the South Pole Ice Core has been generated under a collaborative effort by the University of Washington Isolab (NSF Award#1443105) and the University of Colorado INSTAAR Isotope Lab (NSF Award# 1443328). This data set contains high-resolution stable isotope data (dD, d18O,) for the...

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Main Authors: Jones, Tyler, Kahle, Emma, Morris, Valerie, Schauer, Andrew, Steig, Eric J., Vaughn, Bruce, White, James
Format: Dataset
Language:English
Published: U.S. Antarctic Program (USAP) Data Center 2018
Subjects:
Online Access:https://dx.doi.org/10.15784/601114
http://www.usap-dc.org/view/dataset/601114
id ftdatacite:10.15784/601114
record_format openpolar
spelling ftdatacite:10.15784/601114 2023-05-15T13:30:27+02:00 South Pole high resolution ice core water stable isotope record for dD, d18O Jones, Tyler Kahle, Emma Morris, Valerie Schauer, Andrew Steig, Eric J. Vaughn, Bruce White, James 2018 https://dx.doi.org/10.15784/601114 http://www.usap-dc.org/view/dataset/601114 en eng U.S. Antarctic Program (USAP) Data Center Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] https://creativecommons.org/licenses/by-nc-sa/3.0/us CC-BY-NC-SA Stable Isotopes Ice Core ChemistryIce Glaciology Ice Core Records Paleoclimate Antarctica Glaciers/Ice Sheet Snow/Ice Cryosphere dataset Dataset 2018 ftdatacite https://doi.org/10.15784/601114 2021-11-05T12:55:41Z Isotopic data for the South Pole Ice Core has been generated under a collaborative effort by the University of Washington Isolab (NSF Award#1443105) and the University of Colorado INSTAAR Isotope Lab (NSF Award# 1443328). This data set contains high-resolution stable isotope data (dD, d18O,) for the South Pole Ice core. D17O is submitted under University of Washington Isolab (NSF Award#1443105). Drilling was initiated in 2014 and completed in 2016, and subsequent analyses on the ice were performed at the Institute of Arctic and Alpine Research, University of Colorado using Continuous Flow Analysis (CFA) as described in Jones et al. (2017). Entire meters of core are slowly melted and resulting water is converted to vapor for analysis with two cavity ring down spectrometers (CRDS), a Picarro L-2130 for dD and d18O, and a Picarro L-2140 for d17O and calculated D. Each meter of ice takes approximately 40 minutes to melt, and data are generated nominally at 1Hz, resulting in approximately 2,400 data points per meter. Each data point is ascribed to a specific depth using a depth-assignment algorithm that accounts for mixing within the system. Multiple data files are generated: a) Unfiltered data for dD, and d18O from the main core: 5 m → 1751 m depth, (4,934,966 total data points) including outliers; b) Sub sampled dD and d18O data from the main core created by averaging all non-flagged data points on 0.5 cm intervals, (350,200 data points); and c) d17O and subsequent D17O for depths 556m → 1751m. Users of the data should understand that the main core data includes all data, with a flagging that allows users to filter data (see README files). We also analyzed three replicate segments (809-951m, 1020-1078m and 1499-1542m), which serve to verify the new methodology, and serve as alternate data for any sections that were otherwise compromised. Tyler Jones, James W. C. White, Steig, E. J., Bruce H. Vaughn, Valerie Morris, Gkinis, V. , Markle, B. R. , Schoenemann, S. W. 2017: Improved methodologies for continuous-flow analysis of stable water isotopes in ice cores. Atmospheric Measurement Techniques, 10: 617-632. DOI: 10.5194/amt-10-617-2017 Dataset Antarc* Antarctica Arctic ice core Ice Sheet Institute of Arctic and Alpine Research South pole South pole DataCite Metadata Store (German National Library of Science and Technology) Arctic South Pole
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Stable Isotopes
Ice Core
ChemistryIce
Glaciology
Ice Core Records
Paleoclimate
Antarctica
Glaciers/Ice Sheet
Snow/Ice
Cryosphere
spellingShingle Stable Isotopes
Ice Core
ChemistryIce
Glaciology
Ice Core Records
Paleoclimate
Antarctica
Glaciers/Ice Sheet
Snow/Ice
Cryosphere
Jones, Tyler
Kahle, Emma
Morris, Valerie
Schauer, Andrew
Steig, Eric J.
Vaughn, Bruce
White, James
South Pole high resolution ice core water stable isotope record for dD, d18O
topic_facet Stable Isotopes
Ice Core
ChemistryIce
Glaciology
Ice Core Records
Paleoclimate
Antarctica
Glaciers/Ice Sheet
Snow/Ice
Cryosphere
description Isotopic data for the South Pole Ice Core has been generated under a collaborative effort by the University of Washington Isolab (NSF Award#1443105) and the University of Colorado INSTAAR Isotope Lab (NSF Award# 1443328). This data set contains high-resolution stable isotope data (dD, d18O,) for the South Pole Ice core. D17O is submitted under University of Washington Isolab (NSF Award#1443105). Drilling was initiated in 2014 and completed in 2016, and subsequent analyses on the ice were performed at the Institute of Arctic and Alpine Research, University of Colorado using Continuous Flow Analysis (CFA) as described in Jones et al. (2017). Entire meters of core are slowly melted and resulting water is converted to vapor for analysis with two cavity ring down spectrometers (CRDS), a Picarro L-2130 for dD and d18O, and a Picarro L-2140 for d17O and calculated D. Each meter of ice takes approximately 40 minutes to melt, and data are generated nominally at 1Hz, resulting in approximately 2,400 data points per meter. Each data point is ascribed to a specific depth using a depth-assignment algorithm that accounts for mixing within the system. Multiple data files are generated: a) Unfiltered data for dD, and d18O from the main core: 5 m → 1751 m depth, (4,934,966 total data points) including outliers; b) Sub sampled dD and d18O data from the main core created by averaging all non-flagged data points on 0.5 cm intervals, (350,200 data points); and c) d17O and subsequent D17O for depths 556m → 1751m. Users of the data should understand that the main core data includes all data, with a flagging that allows users to filter data (see README files). We also analyzed three replicate segments (809-951m, 1020-1078m and 1499-1542m), which serve to verify the new methodology, and serve as alternate data for any sections that were otherwise compromised. Tyler Jones, James W. C. White, Steig, E. J., Bruce H. Vaughn, Valerie Morris, Gkinis, V. , Markle, B. R. , Schoenemann, S. W. 2017: Improved methodologies for continuous-flow analysis of stable water isotopes in ice cores. Atmospheric Measurement Techniques, 10: 617-632. DOI: 10.5194/amt-10-617-2017
format Dataset
author Jones, Tyler
Kahle, Emma
Morris, Valerie
Schauer, Andrew
Steig, Eric J.
Vaughn, Bruce
White, James
author_facet Jones, Tyler
Kahle, Emma
Morris, Valerie
Schauer, Andrew
Steig, Eric J.
Vaughn, Bruce
White, James
author_sort Jones, Tyler
title South Pole high resolution ice core water stable isotope record for dD, d18O
title_short South Pole high resolution ice core water stable isotope record for dD, d18O
title_full South Pole high resolution ice core water stable isotope record for dD, d18O
title_fullStr South Pole high resolution ice core water stable isotope record for dD, d18O
title_full_unstemmed South Pole high resolution ice core water stable isotope record for dD, d18O
title_sort south pole high resolution ice core water stable isotope record for dd, d18o
publisher U.S. Antarctic Program (USAP) Data Center
publishDate 2018
url https://dx.doi.org/10.15784/601114
http://www.usap-dc.org/view/dataset/601114
geographic Arctic
South Pole
geographic_facet Arctic
South Pole
genre Antarc*
Antarctica
Arctic
ice core
Ice Sheet
Institute of Arctic and Alpine Research
South pole
South pole
genre_facet Antarc*
Antarctica
Arctic
ice core
Ice Sheet
Institute of Arctic and Alpine Research
South pole
South pole
op_rights Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0]
https://creativecommons.org/licenses/by-nc-sa/3.0/us
op_rightsnorm CC-BY-NC-SA
op_doi https://doi.org/10.15784/601114
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