Articles | Volume 18, issue 4
https://doi.org/10.5194/essd-18-2769-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-2769-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
21 Apr 2026
Data description article |
| 21 Apr 2026
| 21 Apr 2026
OpenSWI: a massive-scale benchmark dataset for surface wave dispersion curve inversion
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
Sijie Zhao
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
Fenghua Ling
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
Peiqin Zhuang
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
Yaxing Li
CORRESPONDING AUTHOR
Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
Rui Su
CORRESPONDING AUTHOR
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
Lihua Fang
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China
Lianqing Zhou
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China
Jianping Huang
Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
Lei Bai
Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
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Mengqiao Duan, Lianqing Zhou, Ying Fu, Yanru An, Jingqiong Yang, and Xiaodong Zhang
Solid Earth, 16, 391–408, https://doi.org/10.5194/se-16-391-2025, https://doi.org/10.5194/se-16-391-2025, 2025
Short summary
Short summary
We obtain the highest-resolution three-dimensional P-wave attenuation model in the China Seismic Experimental Site to date. The P-wave attenuation value anomalies along large fault zones, some basin areas, and the Tengchong volcanic area are low, reflecting the high degree of medium fragmentation in these areas with thick sedimentary layers or rich in fluids.
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Short summary
We introduce a large and diverse dataset that supports the development of machine learning methods for studying Earth structures through surface wave dispersion curves. Existing research has been limited by the absence of such benchmark data. Our dataset includes both computer-generated and real-world examples, allowing models to be tested and compared in a consistent way. By making these resources openly available, we aim to advance research on the shallow and deep Earth.
We introduce a large and diverse dataset that supports the development of machine learning...
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