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Dataset Persistent ID
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doi:10.18715/IPGP.2026.mnhd5fhq |
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Publication Date
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2026-04-08 |
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Title
| Deep-Learning-Based Earthquake Catalog for the 2010 Mw 8.8 Maule Aftershock Sequence |
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Author
| Flores-Allende, Rodrigo (Institut de Physique du Globe de Paris, Université Paris Cité) - ORCID: 0009-0000-7608-8449
Seydoux, Léonard (Institut de Physique du Globe de Paris, Université Paris Cité) - ORCID: 0000-0002-6596-5896
Beaucé, Éric (Lamont-Doherty Earth Observatory, Columbia University) - ORCID: 0000-0003-3138-9082
Bonilla, Luis Fabián (Université Gustave Eiffel) - ORCID: 0000-0001-6270-9822
Gueguen, Philippe (ISTerre, Université de Grenoble Alpes) - ORCID: 0000-0001-6362-0694
Satriano, Claudio (Institut de Physique du Globe de Paris, Université Paris Cité) - ORCID: 0000-0002-3039-2530 |
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Contact
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Use email button above to contact.
Flores-Allende, Rodrigo (Institut de physique du globe de Paris) |
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Description
| Version 2.0 — This version extends v1.0 by adding the PhaseNet P and S-wave arrival picks in NonLinLoc format (maule_aftershocks_phasenet_picks.zip).
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. 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) |
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Subject
| Earth and Environmental Sciences |
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Keyword
| Seismology
Subduction Zone
Machine Learning
Earthquake Catalog
Chile |
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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 https://doi.org/10.1029/2026JB034262 |
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Grant Information
| Agence Nationale de la Recherche: ANR-22-CPJ1-0020-01
Agence Nationale de la Recherche: ANR E-City, AAPG 2021-CES 22
Brinson Foundation |
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Depositor
| Flores-Allende, Rodrigo |
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Deposit Date
| 2026-04-02 |
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Time Period Covered
| Start: 2010-03-12 ; End: 2011-01-22 |