Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ...
We here describe, document, and make available a wide range of data sets used for annual-layer identification in ice cores from DYE-3, GRIP, NGRIP, NEEM, and EGRIP. The data stem from detailed measurements performed both on the main deep cores and shallow cores over more than 40 years using many dif...
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ftdatacite:10.48350/194681 2024-04-28T08:17:17+00:00 Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... Rasmussen, Sune Olander Dahl-Jensen, Dorthe Fischer, Hubertus Fuhrer, Katrin Hansen, Steffen Bo Hansson, Margareta Hvidberg, Christine S. Jonsell, Ulf Kipfstuhl, Sepp Ruth, Urs Schwander, Jakob Siggaard-Andersen, Marie-Louise Sinnl, Giulia Steffensen, Jørgen Peder Svensson, Anders M. Vinther, Bo M. 2023 https://dx.doi.org/10.48350/194681 https://boris.unibe.ch/194681/ unknown Copernicus Publications https://dx.doi.org/10.5194/essd-15-3351-2023 open access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 http://purl.org/coar/access_right/c_abf2 530 Physics 000 Computer science, knowledge & systems article-journal Text ScholarlyArticle journal article 2023 ftdatacite https://doi.org/10.48350/19468110.5194/essd-15-3351-2023 2024-04-02T12:48:13Z We here describe, document, and make available a wide range of data sets used for annual-layer identification in ice cores from DYE-3, GRIP, NGRIP, NEEM, and EGRIP. The data stem from detailed measurements performed both on the main deep cores and shallow cores over more than 40 years using many different setups developed by research groups in several countries and comprise both discrete measurements from cut ice samples and continuous-flow analysis data. The data series were used for counting annual layers 60 000 years back in time during the construction of the Greenland Ice-Core Chronology 2005 (GICC05) and/or the revised GICC21, which currently only reaches 3800 years back. Now that the underlying data are made available (listed in Table 1) we also release the individual annual-layer positions of the GICC05 timescale which are based on these data sets. We hope that the release of the data sets will stimulate further studies of the past climate taking advantage of these highly resolved data series ... Article in Journal/Newspaper Dye 3 Dye-3 Greenland Greenland ice core GRIP ice core NGRIP DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
unknown |
topic |
530 Physics 000 Computer science, knowledge & systems |
spellingShingle |
530 Physics 000 Computer science, knowledge & systems Rasmussen, Sune Olander Dahl-Jensen, Dorthe Fischer, Hubertus Fuhrer, Katrin Hansen, Steffen Bo Hansson, Margareta Hvidberg, Christine S. Jonsell, Ulf Kipfstuhl, Sepp Ruth, Urs Schwander, Jakob Siggaard-Andersen, Marie-Louise Sinnl, Giulia Steffensen, Jørgen Peder Svensson, Anders M. Vinther, Bo M. Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
topic_facet |
530 Physics 000 Computer science, knowledge & systems |
description |
We here describe, document, and make available a wide range of data sets used for annual-layer identification in ice cores from DYE-3, GRIP, NGRIP, NEEM, and EGRIP. The data stem from detailed measurements performed both on the main deep cores and shallow cores over more than 40 years using many different setups developed by research groups in several countries and comprise both discrete measurements from cut ice samples and continuous-flow analysis data. The data series were used for counting annual layers 60 000 years back in time during the construction of the Greenland Ice-Core Chronology 2005 (GICC05) and/or the revised GICC21, which currently only reaches 3800 years back. Now that the underlying data are made available (listed in Table 1) we also release the individual annual-layer positions of the GICC05 timescale which are based on these data sets. We hope that the release of the data sets will stimulate further studies of the past climate taking advantage of these highly resolved data series ... |
format |
Article in Journal/Newspaper |
author |
Rasmussen, Sune Olander Dahl-Jensen, Dorthe Fischer, Hubertus Fuhrer, Katrin Hansen, Steffen Bo Hansson, Margareta Hvidberg, Christine S. Jonsell, Ulf Kipfstuhl, Sepp Ruth, Urs Schwander, Jakob Siggaard-Andersen, Marie-Louise Sinnl, Giulia Steffensen, Jørgen Peder Svensson, Anders M. Vinther, Bo M. |
author_facet |
Rasmussen, Sune Olander Dahl-Jensen, Dorthe Fischer, Hubertus Fuhrer, Katrin Hansen, Steffen Bo Hansson, Margareta Hvidberg, Christine S. Jonsell, Ulf Kipfstuhl, Sepp Ruth, Urs Schwander, Jakob Siggaard-Andersen, Marie-Louise Sinnl, Giulia Steffensen, Jørgen Peder Svensson, Anders M. Vinther, Bo M. |
author_sort |
Rasmussen, Sune Olander |
title |
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
title_short |
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
title_full |
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
title_fullStr |
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
title_full_unstemmed |
Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21) ... |
title_sort |
ice-core data used for the construction of the greenland ice-core chronology 2005 and 2021 (gicc05 and gicc21) ... |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://dx.doi.org/10.48350/194681 https://boris.unibe.ch/194681/ |
genre |
Dye 3 Dye-3 Greenland Greenland ice core GRIP ice core NGRIP |
genre_facet |
Dye 3 Dye-3 Greenland Greenland ice core GRIP ice core NGRIP |
op_relation |
https://dx.doi.org/10.5194/essd-15-3351-2023 |
op_rights |
open access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 http://purl.org/coar/access_right/c_abf2 |
op_doi |
https://doi.org/10.48350/19468110.5194/essd-15-3351-2023 |
_version_ |
1797581970628149248 |