In order to describe the distribution pattern of genetic diversity of important livestock and poultry germplasm resources in the Qinghai Tibet Plateau, clarify their related genetic background, and establish a corresponding genetic resource bank. In 2022, the survey of genetic resources of domestic animals will be carried out in Jiulong County, Hongyuan County and Xiangcheng County of Sichuan Province, and 484 blood and tissue samples of sheep, yaks, goats, dogs, pigs and cattle will be collected, 40 sheep feces samples, 2 RNA samples of Tibetan chickens and 3 RNA samples of Tibetan pigs will be collected. This data set includes 1 sample information table and 685 individual photos, 12 work photos, 5 habitat photos and 12 work videos. The sample information table contains basic sample information such as species, varieties, detailed sampling places, sample types, collection time, collectors, and storage methods, which are stored in excel form. Photos are stored in jpg format and videos are stored in MP4 format.

File naming and required software

The organization sample information table is named after the sub subject number - year - region - person in charge and opened in excel
The photo video is named after the sub subject number - year - region, and opened with the photo viewer and video player

Data Citations Data citation guideline What's data citation?

Cite as:

Peng, M. (2022). Data set of tissue samples of domestic animals in Xiangcheng County, Hongyuan County, Jiulong County, Sichuan Province (2022). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272980. CSTR: 18406.11.HumanNat.tpdc.272980. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)