Dataset for the Energy-Based Average Stress-Drop-Constrained Finite-Fault Inversion of the 2024 Mw 7.0 Wushi Earthquake

This dataset contains the principal numerical results from the finite-fault inversion of the 22 January 2024 Mw 7.0 Wushi earthquake in Xinjiang, China, using an energy-based average stress-drop constraint. The finite-fault inversion jointly uses InSAR static displacement data and teleseismic body-wave data. The dataset includes the preferred finite-fault model, inversion results obtained under different energy-based average stress-drop constraints, stress-drop–data-misfit trade-off data, slip-weighted mean kinematic parameters, stability tests using different random initial models, and synthetic recovery tests. The preferred model has an energy-based average stress drop of approximately 7 MPa. Its main slip region extends approximately 35 km along strike and is mainly concentrated at depths of approximately 5–18 km. The dataset contains: the preferred finite-fault model; independent inversion models at approximately 7 MPa and 20 MPa used for model-stability analysis; numerical data underlying the energy-based average stress-drop–data-misfit trade-off; numerical data describing variations in mean slip, rise time, rupture velocity, and slip rate with stress drop; synthetic checkerboard recovery tests using different subfault sizes; synthetic recovery tests using InSAR static displacement data, teleseismic body-wave data, and their joint inversion. Third-party raw observational data are not redistributed. Sentinel-1 SAR data are available from the Copernicus Sentinel Data Space Ecosystem, teleseismic waveform data are available from the IRIS Data Management Center, and focal-mechanism and moment-tensor solutions are available from the Global Centroid Moment Tensor Project and the U.S. Geological Survey ANSS Comprehensive Earthquake Catalog. Detailed descriptions of the files and directory structure are provided in the included README file.