Metabolome data set of modern Chinese population version 1.0

How the Tibetan people adapt to the extreme environment of the plateau is not clear at present. Metabolism, as an important phenotype, plays an important role in maintaining the normal biological function of individuals. Previous studies have shown that some small metabolic molecules can adapt to the extreme environment by regulating the biological processes such as energy metabolism and oxidative stress. In view of this, this project is to find the relationship between the human metabolism and the extreme environmental adaptation by studying the unique metabolic characteristics of Tibetan population compared with the plain population, and then study the plateau adaptation mechanism of Tibetan population from the perspective of metabolism. This data is the metabolome data generated during the implementation of this project. The current data includes the metabolome data of 30 people in the plain. The combined analysis of this data and the subsequent metabolome data can be used to study the metabolism characteristics of the Tibetan people at high altitude in the low oxygen environment.

Data file naming and use method

The file is stored in mzml file format, which can be viewed by proteowizard software, and analyzed by xcms package.
Naming rules: type, sample number, metabolic ion type
For example, file name: Pingyuan_s124_neg.mzml refers to plain population + sample No. 124 + negative ion data

Required Data Citation View Data Cite Help About Data Citation
Cite as:

LI Gonghua. Metabolome data set of modern Chinese population version 1.0. National Tibetan Plateau Data Center, 2020. doi: 10.11888/Ecolo.tpdc.270374. (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.

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To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (

License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 110.42 West: 80.37
South: 18.56 North: 35.38
  • Temporal resolution: Yearly
  • Spatial resolution: 100km - 1000km
  • File size: 841 MB
  • Browse count: 296 Times
  • Apply count: 0 Times
  • Share mode: protected
  • Temporal coverage: 2018
  • Updated time: 2020-04-22


Contact Information
: LI Gonghua  

Distributor: National Tibetan Plateau Data Center


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