Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ...
Two catalogs are provided as part of the publication "Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada", in The Seismic Record. Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (Zhu and Beroza,...
Main Authors: | , , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.10436534 https://zenodo.org/doi/10.5281/zenodo.10436534 |
id |
ftdatacite:10.5281/zenodo.10436534 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.10436534 2024-02-04T10:03:45+01:00 Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... Li, Jinji Rojas-Parra, Jesus Salvage, Rebecca O. Eaton, David W. Innanen, Kristopher Gu, Yu Jeffrey Sun, Wenhan 2023 https://dx.doi.org/10.5281/zenodo.10436534 https://zenodo.org/doi/10.5281/zenodo.10436534 en eng Zenodo https://dx.doi.org/10.5281/zenodo.10436533 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Machine Learning Seismology Western Canada PhaseNet EQTransformer Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.1043653410.5281/zenodo.10436533 2024-01-05T13:52:28Z Two catalogs are provided as part of the publication "Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada", in The Seismic Record. Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (Zhu and Beroza, 2018); Catalog_PR_PhaseNet_TSR.csv was produced using EQTransformer (Mousavi et al., 2020). The files contain the following columns: UTCDateTime: UTC Date and Time of detected event NLL_Ev_Lat_Deg: Event Latitude in decimal degrees NLL_Ev_Long_Deg: Event Longitude in decimal degrees NLL_Ev_Z_km: Event Depth in kilometers NLL_Ev_Lat_err: Event Latitude Error in kilometers NLL_Ev_Long_err: Event Longitude Error in kilometers NLL_Ev_Z_err: Event Depth Error in kilometers Calibrated_Ml: Calibrated local magnitude Hypocenter locations and associated errors were calculated using NonLinLon (Lomax et al.. 2000; 2009) using the velocity model provided in Schultz et al., 2023. Magnitudes were calculated using Babaie-Mahani and Kao ... Dataset Peace River DataCite Metadata Store (German National Library of Science and Technology) Canada |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Machine Learning Seismology Western Canada PhaseNet EQTransformer |
spellingShingle |
Machine Learning Seismology Western Canada PhaseNet EQTransformer Li, Jinji Rojas-Parra, Jesus Salvage, Rebecca O. Eaton, David W. Innanen, Kristopher Gu, Yu Jeffrey Sun, Wenhan Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
topic_facet |
Machine Learning Seismology Western Canada PhaseNet EQTransformer |
description |
Two catalogs are provided as part of the publication "Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada", in The Seismic Record. Catalog_PR_EQTransformer_TSR.csv was produced using PhaseNet (Zhu and Beroza, 2018); Catalog_PR_PhaseNet_TSR.csv was produced using EQTransformer (Mousavi et al., 2020). The files contain the following columns: UTCDateTime: UTC Date and Time of detected event NLL_Ev_Lat_Deg: Event Latitude in decimal degrees NLL_Ev_Long_Deg: Event Longitude in decimal degrees NLL_Ev_Z_km: Event Depth in kilometers NLL_Ev_Lat_err: Event Latitude Error in kilometers NLL_Ev_Long_err: Event Longitude Error in kilometers NLL_Ev_Z_err: Event Depth Error in kilometers Calibrated_Ml: Calibrated local magnitude Hypocenter locations and associated errors were calculated using NonLinLon (Lomax et al.. 2000; 2009) using the velocity model provided in Schultz et al., 2023. Magnitudes were calculated using Babaie-Mahani and Kao ... |
format |
Dataset |
author |
Li, Jinji Rojas-Parra, Jesus Salvage, Rebecca O. Eaton, David W. Innanen, Kristopher Gu, Yu Jeffrey Sun, Wenhan |
author_facet |
Li, Jinji Rojas-Parra, Jesus Salvage, Rebecca O. Eaton, David W. Innanen, Kristopher Gu, Yu Jeffrey Sun, Wenhan |
author_sort |
Li, Jinji |
title |
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
title_short |
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
title_full |
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
title_fullStr |
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
title_full_unstemmed |
Machine Learning aids rapid assessment of aftershocks: Application to the 2022-2023 Peace River earthquake sequence, Alberta, Canada ... |
title_sort |
machine learning aids rapid assessment of aftershocks: application to the 2022-2023 peace river earthquake sequence, alberta, canada ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.10436534 https://zenodo.org/doi/10.5281/zenodo.10436534 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Peace River |
genre_facet |
Peace River |
op_relation |
https://dx.doi.org/10.5281/zenodo.10436533 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1043653410.5281/zenodo.10436533 |
_version_ |
1789971414762127360 |