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  5. Dataset: Ocean-bottom P and S arrival waveform dataset from the Alaska Amphibious Community Seismic Experiment, 2018-19

Dataset: Ocean-bottom P and S arrival waveform dataset from the Alaska Amphibious Community Seismic Experiment, 2018-19

File(s)
AACSE_2018_ReadMe.txt (6.15 KB)
archive_metadata2018.tar.gz (719.81 KB)
archive_waveforms2019.tar.gz (3.35 GB)
archive_waveforms2018.tar.gz (1.91 GB)
AACSE_2019_ReadMe.txt (6.14 KB)
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Permanent Link(s)
https://doi.org/10.7298/01da-ka24
https://hdl.handle.net/1813/113707
Collections
Geophysics and Seismology
Author
Barcheck, Grace
Abstract

This archive contains an earthquake waveform dataset and corresponding metadata generated from offshore seismic data collected in 2018-19 as part of the Alaska Amphibious Community Seismic Experiment (AACSE) (Ruppert et al., 2022, SRL; Barcheck et al., 2020, SRL; Abers et al., 2019, EOS). AACSE was deployed May 2018 through August 2019, and the experiment collected seismic data both on- and off-shore along a stretch of the Alaska-Aleutian subduction zone near the Alaska Peninsula. The Alaska Earthquake Center created the authoritative, analyst-checked earthquake catalog for the experiment (Ruppert et al., 2022). Waveforms are cut out relative to the analyst-checked P and S picks, for all events within 350 km epicentral distance. Data are from ocean-bottom seismometers and collocated hydrophones only; no land data are included. Datasets are intended to be used for machine learning training with seismic data.

Description
Please cite as:
Barcheck, Grace (2023) Dataset: Ocean-bottom P and S arrival waveform dataset from the Alaska Amphibious Community Seismic Experiment, 2018-19. [dataset] Cornell University Library eCommons Repository. https://doi.org/10.7298/01da-ka24
Sponsorship
U.S. Geological Survey, Grant No. G22AP00040
Date Issued
2023-11
Keywords
earthquake
•
seismic waveform
•
ocean-bottom seismometer
•
machine learning
Reference(s)
Ruppert et al., 2022, SRL https://doi.org/10.1785/0220220226
Barcheck et al., 2020, SRL https://doi.org/10.1785/0220200189
Abers et al., 2019, EOS https://doi.org/10.1029/2019EO117621
Woollam et al., 2022, SRL https://doi.org/10.1785/0220210324
Munchmeyer et al., 2022, JGR Solid Earth https://doi.org/10.1029/2021JB023499
Rights
Attribution 4.0 International
Rights URI
http://creativecommons.org/licenses/by/4.0/
Type
dataset

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