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Published October 5, 2020 | Version v0.0
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Supplementary data for "Companion guide to the Marsquake Catalog from InSight, Sols 0-478: data content and non-seismic events"

  • 1. Institute of Geophysics, ETH Zurich, Zurich, Switzerland
  • 2. Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
  • 3. Institute of Geophysics, ETH Zurich, Zurich, Switzerland; Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
  • 4. Department of Electrical and Electronic Engineering, Imperial College London, London, UK
  • 5. School of Earth Sciences, University of Bristol, Bristol, UK
  • 6. Université de Paris, Institut de physique du globe de Paris, CNRS, Paris, France
  • 7. Institute of Geophysics, ETH Zurich, Zurich, Switzerland; Institute of Theoretical Physics, University of Zurich, Zurich, Switzerland
  • 8. Institut Supérieur de l'Aéronautique et de l'Espace SUPAERO, Toulouse, France
  • 9. Max Planck Institute for Solar System Research, Göttingen, Germany
  • 10. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
  • 11. Université de Paris, Institut de physique du globe de Paris, CNRS, Paris, France; Institut Universitaire de France, 1 rue Descartes, Paris, France
  • 12. Cornell Center for Astrophysics and Planetary Science, Cornell University, Ithaca, NY, USA
  • 13. Laboratoire de Planétologie et Géodynamique, Univ. Nantes, Univ. Angers, CNRS, Nantes, France
  • 14. Laboratoire de Météorologie Dynamique, Sorbonne University, Paris, France; Institut Universitaire de France, 1 rue Descartes, Paris, France
  • 15. Johns Hopkins Applied Physics Lab., Laurel, MD, USA
  • 16. Institute of Earth Sciences Jaume Almera of the Spanish Scientific Research Council (ICTJA-CSIC), Barcelona, Spain

Description

This repository includes sample data sets (both seismic and auxiliary channels - such as pressure) as a supplement to "Companion guide to the Marsquake Catalog from InSight, Sols 0-478: data content and non-seismic events". Our purpose is to provide fast access to a set of sample data for further experimenting, and simple scripts for readers who may not be familiar with Python or tools such as FDSN web services (http://www.fdsn.org/webservices/).

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