Ancient DNA sequencing data of archaeological sediments from Klu lding site in Nyingchi region- A Big Earth Data Platform for Three Poles

1) Data content: the data are the ancient DNA data generated by studying the cultural layer of Klu lding site in Nyingchi region, Tibetan Plateau, including the hiseqx metagenomics data of 10 ancient DNA samples from 4 layers. It can be used to preliminarily analyze the changes of species composition recorded by ancient DNA in the sediments, and reveal the process of local agricultural development.

2) Data source and processing method: the research group has its ownership. the data were obtained by using pair-end library building and Illumina hiseqx sequencing platform.

3) Data quality: 20.3 MB, Q30 > 85%.

4) Application: The data will be used to explore the potential of the ancient DNA from archaeological sediments in revealing the development of ancient agriculture on the Tibetan Plateau.

File naming and required software

Sampling time + site abbreviation + sampling sequence

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, X. (2021). Ancient DNA sequencing data of archaeological sediments from Klu lding site in Nyingchi region. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Paleoenv.tpdc.271894. CSTR: 18406.11.Paleoenv.tpdc.271894. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)