The data set is the three-dimensional lithospheric S-wave Q-value model data in the surrounding areas of Sichuan and Yunnan obtained by using the full waveform based adjoint attenuation imaging method. First, apply to the data backup center of the national seismological network for obtaining the seismic waveform data. Using the collected seismic waveform data, intercept the S-wave seismic phase data with high signal-to-noise ratio according to the seismic events, and extract the S-wave amplitude information after de averaging, de trending, waveform pinching and filtering. Finally, the S-wave amplitude data are inverted by using the waveform accompanying attenuation imaging method to obtain the three-dimensional S-wave attenuation model in Sichuan and Yunnan. The model data set can be used to further study important scientific issues such as the tectonic evolution of the lithosphere in Sichuan Yunnan region and the extension of the Qinghai Tibet Plateau.

File naming and required software

File naming: the model data set is stored in text format, and the file naming rule is "serial number _topic number _model name".
Data reading method: all data files in the data set can be opened directly by text program.

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, D. (2022). Three dimensional lithospheric S-wave attenuation model beneath the Sichuan-Yunnan region. A Big Earth Data Platform for Three Poles, DOI: 10.11888/SolidEar.tpdc.272545. CSTR: 18406.11.SolidEar.tpdc.272545. (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

The study on multi-scale and high-resolution structures, deformation patterns and background of large earthquakes preparation and occurrence beneath the Chuandian Block (No:2017YFC1500300)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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