In order to analyze the animal diversity pattern of the Qinghai Tibet Plateau and establish the corresponding animal specimen database. The sub project 2019qzkk05010110 was concentrated in Ya'an City, Sichuan Province and Ganzi Tibetan Autonomous Prefecture in 2021. A total of 200 specimens and tissue samples of local wild animals, such as Apodemus agrarius and social mice, were collected. The solid samples include animal individuals, skins, tissues, etc. This data set contains 200 sample information tables and 374 photos. This data set includes 1 data set specification table, 1 specimen information table and 1 tissue sample information table. The sample information table contains basic sample information such as species, variety, detailed sampling place, sample type, collection time, collector and storage method, which is stored in the form of Excel. Photos, stored in JPG format.

File naming and required software

Subproject number - year - Region - group. After extracting the folder, you can open it with a photo viewer
Data set specification, specimen information table and tissue sample information table shall be opened with Excel

Data Citations Data citation guideline What's data citation?

Cite as:

Chen, Z. (2021). Sichuan small animal data set (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272155. CSTR: 18406.11.HumanNat.tpdc.272155. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)