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ZENODO
Software . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2020
License: CC BY
Data sources: Datacite
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SEA-ULF

Authors: Warden, Sheldon; McLean, Laura; Lemon, Jim; Schneider, Dan;
Abstract

perform_SEA.py is the main Python script described in Warden et al., 2020, allowing to estimate the statistical significance of pre-earthquake magnetic signals in the ULF range. The script imports the config file myconfig.py which specifies the geomagnetic station of interest (either Kakioka or Kanoya), the depth and radius range of the events to consider, the catalog being used and the list of anomalous days to reject. We encourage other researchers to modify this script to account for other time periods, other magnetic stations or even other precursor types.

Keywords

Statistical Epoch Analysis, Pre-earthquake signals, Ultra-Low Frequency signals, Geomagnetism, Seismology

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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