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The data on the consumption and trade of agricultural products for the period 1992-2016 in the five Central Asian countries are derived from the Food and Agriculture Organization of the United Nations (FAO) food statistics database. The main elements include: crop types and yields, crop sown area, breed species and scale, animal product output, dietary structure, population, policy technology, total import and export amount and amount, etc. It can be used to support the development and utilization of agricultural water and soil resources in Central Asia, and the measurement and management of the "virtual water" and "virtual soil" resources contained in agricultural products. It provides the basic data support for the agricultural products trade complementation and agricultural cooperation decision making between China and the five Central Asian countries, and guarantees and promotes the construction of the Silk Road economic belt.

File naming and required software

In .excel format, can be opened and analysed in Microsoft EXCEL software.

Data Citations Data citation guideline What's data citation?

Yang, Y., He, L. (2019). Agricultural product consumption and trade dataset of the Five Central Asia Countires (1992-2016). A Big Earth Data Platform for Three Poles, (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)

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