ice complex deposits
Content of carbon isotopes (¹³C and ¹⁴C) in organic carbon pools in terrestrial Siberia
Summary This dataset represents a literature compilation of carbon isotope data of four terrestrial organic carbon pools, (1) litter and organic layers in northern Russia, Scandinavia, Canada and Alaska (¹³C and ¹⁴C); (2) mineral active layers and non-permafrost soils in Siberia (¹³C and ¹⁴C); (3) exposures of Holocene peat and thermokarst deposits in Siberia (¹⁴C); (4) exposures of Ice Complex deposits in Siberia (¹⁴C). The dataset has been used to quantify the contribution of carbon from different sources to dissolved and particulate organic carbon in large Siberian rivers using statistical source apportionment.
Web address https://bolin.su.se/data/wild-2019
Citations Wild, B., Andersson, A., Bröder, L., Vonk, J., Hugelius, G., McClelland, J. W., Song, W., Raymond P. A., Gustafsson, Ö. (2019). Rivers across the Siberian Arctic unearth the patterns of carbon release from thawing permafrost. Proceedings of the National Academy of Sciences of the U.S.A. doi:10.1073/pnas.1811797116
Principal Investigator Birgit Wild, Örjan Gustafsson
Keywords Permafrost; Peat; Thermokarst; Active layer; Siberia
Category Terrestrial > Arctic carbon
Comments This dataset has been used to quantify the contribution of carbon from different terrestrial sources to dissolved and particulate organic carbon in the large Siberian rivers Ob, Yenisey, Lena and Kolyma. To achieve this, we have complemented publicly available long-term monitoring data with a new literature compilation in a statistical approach. The related monitoring dataset with concentrations of dissolved and particulate organic carbon in the Ob, Yenisey, Lena and Kolyma as well as their ¹³C and ¹⁴C contents is found under 'Water Quality' at: https://arcticgreatrivers.org/data/.
Link to MATLAB code for statistical source apportionment: https://git.bolin.su.se/bolin/wild-2019.
Contact information Email Address birgit.wild@aces.su.se
Postal address Birgit Wild Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University SE-106 91 Stockholm Sweden
Metadata GCMD Science keywords Earth science > Land surface > Soils > Carbon
GCMD Location Continent > Asia
Status Completed
Data Set Language English
Project This study was funded by the US National Science Foundation (Grants 0229302, 0732821, and 1107774), the Swedish Research Council Vetenskapsrådet (Contracts 621-2013-5297 and 2017-01601 and 330-2014-6417), and the European Research Council (ERC-AdG CC-TOP Project 695331 and ERC-StG THAWSOME Project 676982). The European Union Horizon 2020 project Nunataryuk (Contract 773421) is additionally acknowledged.
Description The dataset consists of one xlsx file with four sheets, listing (1) ¹³C and ¹⁴C data of litter and organic layers in northern Russia, Scandinavia, Canada and Alaska; (2) ¹³C and ¹⁴C data of mineral active layers and non-permafrost soils in Siberia; (3) ¹⁴C data of exposures of Holocene peat and thermokarst deposits in Siberia; and (4) ¹⁴C of exposures of Ice Complex deposits in Siberia, including coordinates of sampling sites and references to original publications.
Publisher Bolin Centre for Climate Research, Stockholm University
Dataset Version 1.0
Use Limitations None, but please cite Wild et al. (2019)
Access Constraints Free
Published 2019-05-06 15:46:16
Dodatne informacije
| Polje | Vrednost |
|---|---|
| Data last updated | 20. januar 2021 |
| Metadata last updated | 1. november 2021 |
| Ustvarjeno | 20. januar 2021 |
| Format | csv-geo-au |
| Licenca | Creative Commons Attribution 4.0 |
| Datastore active | False |
| Datastore contains all records of source file | False |
| Has views | True |
| Id | b916df46-df8d-4461-b055-5a40e4d07ffc |
| Mimetype | text/csv |
| Package id | 4180cb83-a583-4f34-97f9-9f2b8b088934 |
| Position | 4 |
| Size | 52,5 KiB |
| State | active |
| Tracking summary | {'total': 2, 'recent': 2} |
| Url type | upload |
Attention! The specified license is that of the dataset. Licenses from other sources, e.g. publications or figures related to the dataset, may be subject to other licenses.