Information of animal samples, tissue samples, DNA bar code samples and other physical samples collected in the second year (from the end of 2020 to 2021) of the fifth topic of the second comprehensive scientific investigation and research task of the Qinghai Tibet Plateau - "conservation and sustainable utilization of animal diversity on the plateau" (2019QZKK0501). All data shall be sorted according to the subject and sub subject, and the folder shall be named according to the subject number and sub subject number. Each sample table contains one or more sample information tables. Each information table contains sub topic number, species, collection place, collection time, collector, sample type, storage method and other information.

File naming and required software

The folder is named in the form of "sub topic number - name of the person in charge", in which 2019qzkk0501 represents the topic number, XX represents the topic number and YY represents the sub topic number. For example, "2019qzkk05010701-2020-ali" represents the information of tissue samples of scientific research specimens in Ali Region of Tibet in 2020 by the scientific research team of sub topic 1 of 7 Special Topics on the protection and sustainable utilization of animal diversity in the plateau. The information file in the dataset can be opened directly with Excel

Data Citations Data citation guideline What's data citation?

Cite as:

ANIMAL RESOURCE PLATFORM OF QINGHAI-TIBET PLATEAU Animal Resource Platform of Qinghai-Tibet Plateau. (2022). Information on tissue samples of animal specimens from the second comprehensive scientific survey of the Qinghai Tibet Plateau (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272345. CSTR: 18406.11.HumanNat.tpdc.272345. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)