The data is the phytoplankton data of 70 points in 26 lakes in Tibet in 2020. The sampling time is from August to September. The sampling method is the conventional phytoplankton sampling method. 1.5 liters of samples are collected, fixed by Lugo's solution, siphoned and concentrated after static precipitation, and the results are examined by inverted microscope. The data includes the density data of different phytoplankton of 77 species / genus in 10 categories, including diatom, green algae, cyanobacteria, dinoflagellate, naked algae, cryptoalgae, brown algae, brown algae and CHAROPHYTA. This data is original and unprocessed. The unit is piece / L. The data can be used to characterize the composition and abundance of phytoplankton in the open water areas of these lakes, and can also be used to calculate the diversity of phytoplankton communities in these lakes.

File naming and required software

File name: the file name is "2020 phytoplankton. XLS", in which 2020 represents the sampling year and phytoplankton represents biological groups.
Data reading method: the file can be opened by using Excel, WPS and other form processing programs.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhang, M. (2022). Phytoplankton data of lakes in Qinghai Tibet Plateau in 2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272190. CSTR: 18406.11.Terre.tpdc.272190. (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

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