A data set of the project "Mechanism of rapid landslides with long runout and their dynamic processes"- A Big Earth Data Platform for Three Poles

1) The data content includes: high-speed friction test data of rock mass structural plane in the sliding source area of typical high-speed remote landslide, physical simulation test data of high-speed remote landslide fragmentation, high-speed ring shear test data of sliding belt in the circulation area of typical landslide, fine particle migration and reverse order physical simulation test data in the accumulation area of landslide, high-speed remote landslide numerical simulation system and evaluation data.

2) Data source and processing method: test data collection.

3) Data quality description: good - General.

4) Data application achievements and prospects: it can be used to study the initiation, movement and accumulation mechanism of high-speed and long-distance rock landslide in Qinghai Tibet Plateau, and simulate the whole process of landslide movement.

File naming and required software

1. The data file shall be named according to the test type and test serial number.
2. Open excel file directly and form data curve as required.
3. Open the video file directly.
4. The source program of numerical simulation system is opened and used according to the instructions of word document.

Data Citations Data citation guideline What's data citation?

Cite as:

Wen, B. (2022). A data set of the project "Mechanism of rapid landslides with long runout and their dynamic processes". A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272022. CSTR: 18406.11.HumanNat.tpdc.272022. (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

National Key Research and Development Program of China (No:2018YFC1505003)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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