Dataset of spatial and temporal distribution of global strong earthquakes (1989-2018)

Dataset of spatial and temporal distribution of global strong earthquakes (1989-2018)


This data set is used to analyze the global activity level of strong earthquakes (Mw 5) in the past 30 years, and to present it spatially. It can be used to obtain the distribution areas of strong earthquakes with high frequency and activity level in recent years. By comparing the distribution of strong earthquakes in 2018 with that in 1989-2018, the distribution characteristics of global strong earthquakes in 2018 are obtained. The original data of strong earthquakes are from USGS, and the local density is calculated as frequency information. The magnitudes of all earthquake cases are interpolated globally, and then the frequency and magnitude are multiplied as the activity level of strong earthquakes. The data set is in TIff format with a spatial resolution of about 80 km. The data set can provide a reference for the analysis of strong earthquake activity level on the global scale, and is helpful for the analysis of global earthquake risk and the construction of earthquake prevention and disaster reduction system.


File naming and required software

The data format of global strong earthquake activity from 1989 to 2018 is Tiff format, and the name of the file is named by time period, 19892018. tiff.
The global strong earthquake event data of 2018 is SHP format, which can be opened by Arcgis. The file name is named by time period, 2018. shp.


Data Citations Data citation guideline What's data citation?
Cite as:

Chen, J., Tang, H., Wu, J., Zhou, H. (2019). Dataset of spatial and temporal distribution of global strong earthquakes (1989-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.270206. CSTR: 18406.11.Disas.tpdc.270206. (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.


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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 180.00 West: 180.00
South: 87.50 North: 72.30
Details
  • Temporal resolution: 10 year < x < 100 year
  • Spatial resolution: 0.01º
  • File size: 0.5 MB
  • Views: 4521
  • Downloads: 429
  • Access: Open Access
  • Temporal coverage: 1989-01-14 To 2019-01-13
  • Updated time: 2021-04-19
Contacts
: Chen Jin   Tang Hong   WU Jianjun   ZHOU Hongmin  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata