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, 406 samples of blood, tissue and feces of local main domesticated animals were collected in Luqu County, Gannan Tibetan Autonomous Prefecture, Gansu Province. This data set contains the species, varieties, detailed sampling places, sample types, collection time, collectors, storage methods and other basic sample information of sheep, pigs, yaks, chickens, cats, goats and other species in Luqu County, Qinghai Province, which are 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

Sample photos - Gansu Luqu, in the form of pictures, viewed by photo viewing software; sample information - Gansu Luqu, in the form of tables, viewed by Excel

Data Citations Data citation guideline What's data citation?

Cite as:

Tian, F. (2020). Phenotypic data of main domestic animals in Gansu Qinghai Region - Luqu, Gansu Province (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.270432. CSTR: 18406.11.Ecolo.tpdc.270432. (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)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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