Stable water isotopes in Western Siberian inland waters
The data consist of stable water isotope composition in the rivers , lakes, soils and flooded areas in the Western Siberia Lowlands (WSL). Sampling area encompassed a 1700 km south-north transect spanning from approx. 56°N to 68°N in latitude and 74°E to 84°E in longitude. Samples were collected during multiple field campaigns between February 2014 and November 2016. The dataset in produced as a part of the JPI/NERC funded SIWA project "Climate impact on the carbon emission and export from Siberian inland waters". The dataset has resulted in two publications submitted to peer-review: (i) Ala-aho et al. (2018). Using stable isotopes to assess surface water source dynamics and hydrological connectivity in a high-latitude wetland and permafrost influenced landscape. Journal of Hydrology, 556, 279-293. (ii) Ala-aho et al. (2018). Permafrost and lakes control river isotope composition across a boreal Arctic transect in the Western Siberian lowlands. Environmental Research Letters, 13(3), 34028. Full details about this dataset can be found at https://doi.org/10.5285/ca17e364-638d-4949-befb-b18b3770aec6
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https://data-package.ceh.ac.uk/data/ca17e364-638d-4949-befb-b18b3770aec6
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https://catalogue.ceh.ac.uk/id/ca17e364-638d-4949-befb-b18b3770aec6
doi:
eng
inlandWaters
environment
74
84
68
58
2014-02-01
2016-11-30
publication
2017-07-21
The water samples for analysis were collected by the Tomsk State University, Umeå University and Géosciences Environnement Toulouse. The samples were analysed for their isotope composition, and the dataset was compiled by the University of Aberdeen. See supporting documentation for further information.
publication
2010-12-08
Tab delimited text
If you reuse this data, you should cite: Ala-aho, P., Soulsby, C., Pokrovsky, O.S., Kirpotin, S.N., Karlsson, J., Serikova, S., Manasypov, R., Lim, A., Krickov, I., Vorobyev, S.N., Kolesnichenko, L.G., Loiko, S., Tetzlaff, D. (2017). Stable water isotopes in Western Siberian inland waters. NERC Environmental Information Data Centre https://doi.org/10.5285/ca17e364-638d-4949-befb-b18b3770aec6
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