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Data content: statistical analysis data of characteristic laws of large-scale landslide dams based on 1230 worldwide cases

Data source: a large database containing 1230 dam cases around the world based on literature retrieval.

Collection method: statistical analysis of the basic characteristics of landslide dam database through Excel, origin and other data analysis software and drawing software.

Data quality description: Based on the established large-scale dam database, the distribution, inducement, service life, shape, collapse and other characteristics of dams at home and abroad were statistically analyzed. The correlation analysis of some characteristics was carried out, such as the correlation analysis of geological causes and service life of landslide dam, the correlation analysis of inducing factors and geological causes of landslide dam.

File naming and required software

File name: the numerical simulation data are stored in the format of picture JPG and video GIF. The file names are "1-national distribution map of dam cases. TIF", "2-induced cause map of dam. TIF", "3-occurrence time distribution map of dam. TIF", "4-length characteristic analysis map of dam. TIF", "5-volume and volume characteristic map of dam. TIF", "6-life analysis map of dam. TIF" "7-dam length width ratio analysis diagram. TIF", "8-dam body type. TIF", "9-dam break time analysis diagram. TIF", "10 dam break mechanism distribution diagram. TIF", "11 dam area distribution diagram. TIF", "12 dam residual ratio distribution diagram. TIF", "dam database feature analysis. Xlsx"
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Data Citations Data citation guideline What's data citation?

Zhang, X. (2022). Statistical analysis data of characteristic law of large landslide dam (2018-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272074. CSTR: 18406.11.HumanNat.tpdc.272074. (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

Catastrophic mechanisms and risk control of disastrous landslides in the Tibetan Plateau (No:2018YFC1505000)

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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