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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Waveforms of event M5.7 for a section 3.4, paper "Generalization Across Tectonic Regions for a Deep-Learning P-Polarity Picker" and polarity picking model

Authors: Kartseva, Tatiana; Münchmeyer, Jannes; Gardonio, Blandine; Helmstetter, Agnès; Marsan, David; Socquet, Anne;

Waveforms of event M5.7 for a section 3.4, paper "Generalization Across Tectonic Regions for a Deep-Learning P-Polarity Picker" and polarity picking model

Abstract

Waveforms for the earthquake occurred at the slab interface at a depth of 42.5km at 2021-09-01 at 18:35:50, located at 27.8S,71.35W, and had a moment magnitude 5.7, according to GCMT catalog, and temporal SeisBench fork with polarity picking model EquiPol included. MSEED file contains traces from 94 stations, trimmed +-10s relative to P-arrival picked by https://doi.org/10.1029/2025JB031256 (arrivals and other information is contained in the corresponding csv file). Waveforms used in section 3.5 of the paper "Generalization Across Tectonic Regions for a Deep-Learning P-Polarity Picker" submitted to Seismica, to compare manual polarity picking with the one produced by the trained CNN. Until the model is integrated into the official SeisBench release, it can be used directly from this repository. You need to download seisbench.zip and tepicc_prelim.zip, containing model weights, unzip them and put in any directory. Requiremnets for using SeisBench can be found here https://github.com/seisbench/seisbench/tree/main. With commands: cd path/to/seisbench and pip install -e . the fork can be used in editable mode. The script picking_test.py can help to roganize polarity picking for the example waveforms. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average