Soil mapping and attribution dataset of all key nodes area in the Belt and Road (2019)

Soil mapping and attribution dataset of all nodes area in pan-third pole is an important information to provide extremely valuable reference for the weather process, drought and hydrological monitoring, which reflects the soil resources, soil fertility, soil environment, soil biology and other soil databases. The base of this data is from the world soil database (HWSD), which belongs to the FAO soil portal V1.2) authoritative public data are the main data, and some supplementary data such as ISRIC soil data published by ISRIC and other project data collected by the world soil data center (ISRIC). Finally the data of soil information in the expected 31 pan third pole key node regionsand 3 projects is obtained. As the research basis of soil, this data set provides the basic information of soil regionalization for the project. This data has the characteristics of grid visualization and attribute table visualization, which can be viewed through many ways. The grid visualization data provides general data on soil types and distribution. And the attribute information is included in the excel, including detailed soil parameters (including organic carbon, pH, water storage, soil depth, cation exchange capacity and clay content of soil, total exchangeable nutrients, lime and gypsum content, sodium exchange rate, salinity, structural grade and particle size, etc.).

Data file naming and use method

File name:
The visualization data is saved in TIF format, and the file name is "name"_ Of_ Keynode.tif ”, where "name"_ Of_ "Key node" indicates the name of the key node
The attribute data is saved in the form of table, and the file is named as“ SoilMapUnit.xlsx ”Where "soilmapunit" is the soil unit number
Data reading mode:
In (1) .shp format, can be opened and analysed in ARCGIS and ENVI softwares to view soil mapping visualzation grid data.
(2) .excel format, can be opened and analysed in Microsoft EXCEL software to view soil attribution data.

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

SHANG Cheng, LING Feng. Soil mapping and attribution dataset of all key nodes area in the Belt and Road (2019). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Soil.tpdc.271028. (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)

User Limit

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: 180.00 West: 0.00
South: -90.00 North: 90.00
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 14 MB
  • Browse count: 517 Times
  • Apply count: 14 Times
  • Share mode: online
  • Temporal coverage: 2019-01-01 To 2019-12-31
  • Updated time: 2020-12-21
Contact Information
: SHANG Cheng   LING Feng  

Distributor: National Tibetan Plateau Data Center


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