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

This dataset contains the earthquake catalog, PhaseNet phase picks, 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) PhaseNet P and S-wave arrival picks in NonLinLoc format for all detected events (maule_aftershocks_phasenet_picks.zip) Python scripts for local-magnitude calibration and b-value analysis (ml_params_estimator.py, b_values.py, spatial_b_value.py, gutenberg_richter.py) 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.