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SeisGo: A ready-to-go Python toolbox for seismic data analysis

Authors: Yang, Xiaotao; Zuffoletti, Isabella D; D'Souza, Nikhil Jay; Denolle, Marine;

SeisGo: A ready-to-go Python toolbox for seismic data analysis

Abstract

SeisGo is a package containing a collection of Python functions and scripts for seismic data analysis. It is designed to be user-friendly with easy-to-use functions. It currently has the functionalities to download seismic data (by earthquakes or continuous windows), apply tilt and compliance corrections to OBS data, compute ambient noise cross-correlations, measure velocity changes, stack time series data, and conduct clustering of seismic velocity models. These key functionalities are organized by modules.

Related Organizations
Keywords

Seismic data analysis, ambient noise correlations, time series clustering, stacking

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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5