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

Version 1.0
Flores-Allende, Rodrigo; Seydoux, Léonard; Beaucé, Éric; Bonilla, Luis Fabián; Gueguen, Philippe; Satriano, Claudio, 2026, "Deep-Learning-Based Earthquake Catalog for the 2010 Mw 8.8 Maule Aftershock Sequence", https://doi.org/10.18715/IPGP.2026.mnhd5fhq, IPGP Research Collection, V1, UNF:6:yNDmP6KzL1INzW8u4Cdv1A== [fileUNF]
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Description
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. (2026-04-02)
Subject Earth and Environmental Sciences
Keyword Seismology, Subduction Zone, Machine Learning, Earthquake Catalog, Chile
Related Publication How to cite this article: Flores-Allende, R., Seydoux, L., Beaucé, É., Bonilla, L. F., Gueguen, P., & Satriano, C. (2026). Fine-scale segmentation and spatiotemporal variability of the 2010 Mw 8.8 Maule aftershock sequence revealed by a deep-learning-based earthquake catalog. Journal of Geophysical Research: Solid Earth, 131, e2026JB034262. https://doi.org/10.1029/2026JB034262 doi: 10.1029/2026JB034262
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README.txt
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Published Apr 8, 2026
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MD5: cf8df385e8241aab08198cf28ece856e
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gutenberg_richter.py
Python Source Code - 7.4 KB
Published Apr 8, 2026
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MD5: 9a09953b279219f6672f26cb811f333f
ml_params_estimator.py
Python Source Code - 12.9 KB
Published Apr 8, 2026
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MD5: b2c4cdaf3229e7df522cad9be5caa68e
b_values.py
Python Source Code - 17.2 KB
Published Apr 8, 2026
2 Downloads
MD5: 11aeff7231c8116077b653545622adc6
spatial_b_value.py
Python Source Code - 18.4 KB
Published Apr 8, 2026
2 Downloads
MD5: e7585a1c3a099fef208347ae7e347dce
maule_aftershocks_bpmf_ds01.tab
Tabular Data - 78.3 MB
Published Apr 8, 2026
3 Downloads
19 Variables, 537387 Observations UNF:6:yNDmP6KzL1INzW8u4Cdv1A==
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