Deep-Learning-Based Earthquake Catalog for the 2010 Mw 8.8 Maule Aftershock Sequence

This dataset contains the earthquake catalog and Python scripts associated with Flores-Allende et al. (2026), Fine-Scale Segmentation and Spatiotemporal Variability of the 2010 Mw 8.8 Maule Aftershock Sequence Revealed by a Deep-Learning-Based Earthquake Catalog. It provides the computational workflow to analyze the 2010 Mw 8.8 Maule aftershock sequence and reproduce the main results of the study. It includes the Maule aftershock catalog in CSV format (maule_aftershocks_bpmf_ds01.csv), Python scripts for local-magnitude calibration and b-value analysis (ml_params_estimator.py, b_values.py, spatial_b_value.py, gutenberg_richter.py), and documentation of the end-to-end processing chain: BPMF detection, PhaseNet phase picking, BeamPower backprojection, NonLinLoc + SSST + waveform-coherence relocation, SourceSpec moment-magnitude estimation, local-magnitude joint inversion, and b-value analysis. Seismic waveforms and third-party software are not redistributed. References and DOIs to the original data centers (EPOS-France, IRIS, GEOFON) and open-source tools such as BPMF, NonLinLoc, and SourceSpec are provided instead.