In order to describe the distribution pattern of the genetic diversity of the main domesticated animals in the Qinghai Tibet Plateau and its surrounding areas, clarify the related genetic background, and establish the corresponding genetic resource pool. In 2019, 187 samples of blood, tissue and feces of local main domesticated animals were collected in Chayu County, Linzhi Prefecture, Tibet Autonomous Region. This data set contains the basic sample information such as species, varieties, detailed sampling sites, sample types, collection time, collectors and storage methods of domestic chickens, pigs, cattle, horses, dogs and buffaloes in Chayu County, Linzhi, Tibet, and is stored in Excel form. This data set also contains the individual appearance photos of the sample, which are stored in JPG format.

File naming and required software

File name: data is stored in raster image JPG format, file name is called sample photo - xizang chawu (JPG).
Data reading method: view with picture software, open and read sample information - XLSX with office software.

Data Citations Data citation guideline What's data citation?

Cite as:

Peng, M., Yin, T. (2020). Phenotypic data of main domestic animals - Chayu, Tibet (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.270435. CSTR: 18406.11.Ecolo.tpdc.270435. (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

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)