publication . Article . 2010

ObsPy: A Python Toolbox for Seismology

Moritz Beyreuther; Yannik Behr; Joachim Wassermann; T. Megies; Robert Barsch; Lion Krischer;
Open Access
  • Published: 01 May 2010 Journal: Seismological Research Letters, volume 81, pages 530-533 (issn: 0895-0695, Copyright policy)
  • Publisher: Seismological Society of America (SSA)
Abstract
The wide variety of computer platforms, file formats, and methods to access seismological data often requires considerable effort in preprocessing such data. Although preprocessing work-flows are mostly very similar, few software standards exist to accomplish this task. The objective of ObsPy is to provide a Python toolbox that simplifies the usage of Python programming for seismologists. It is conceptually similar to SEATREE (Milner and Thorsten 2009) or the exploration seismic software project MADAGASCAR (http://www.reproducibility.org). In ObsPy the following essential seismological processing routines are implemented and ready to use: reading and writing dat...
Subjects
free text keywords: File format, Python (programming language), computer.programming_language, computer, Data file, Seismology, NumPy, Toolbox, Group method of data handling, Computer science, Preprocessor, Software, business.industry, business, Operating system, computer.software_genre
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