This dataset contains the physicochemical properties and water environment indicators of typical alpine wetlands in the Selincuo and Lhasa River basins of the Tibetan Plateau. Wetland water samples were obtained through field sampling, and data on the physicochemical indicators of the water bodies were obtained through chemical analysis in the laboratory. Some indicators were measured in the field using instruments. The data analysis method meets the requirements of relevant national standards and the results are reliable. The data can be used as background data for the water environment of wetlands on the Tibetan Plateau, to assess the ecological and environmental quality of wetlands, and to study the impact of climate change on alpine wetlands.

File naming and required software

File naming: physical and chemical data of water bodies are stored in excel format file (.xls). The file is named yyyymm.xls, where yyyy represents the year, mm represents the month, the file that has the specific parameters of each indicator. Data reading method: Use excel to open the data file directly.

Data Citations Data citation guideline What's data citation?

Cite as:

Xiong, X. (2021). Dataset of alpine wetland water body physical and chemical properties background survey (2019-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.271487. CSTR: 18406.11.Hydro.tpdc.271487. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)