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Additions to Space Physics Data Facility and pysatNASA: Increasing Mars Global Surveyor and Mars Atmosphere and Volatile EvolutioN Dataset Utility

Author

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  • Teresa M. Esman

    (NASA Postdoctoral Program, Greenbelt, MD 20771, USA
    NASA Goddard Spaceflight Center, Greenbelt, MD 20771, USA
    Goddard Planetary Heliophysics Institute, University of Maryland, Baltimore County, Baltimore, MD 21250, USA)

  • Alexa J. Halford

    (NASA Goddard Spaceflight Center, Greenbelt, MD 20771, USA)

  • Jeff Klenzing

    (NASA Goddard Spaceflight Center, Greenbelt, MD 20771, USA)

  • Angeline G. Burrell

    (Naval Research Laboratory, Washington, DC 20375, USA)

Abstract

The Space Physics Data Facility (SPDF) is a digital archive of space physics data and is useful for the storage, analysis, and dissemination of data. We discuss the process used to create an amended dataset and store it on the SPDF. The operational software to generate the archival data software uses the open-source Python package pysat, and an end-user module has been added to the pysatNASA module. The result is the addition of data products to the Mars Global Surveyor (MGS) magnetometer (MAG) dataset, its archival location on SPDF, and pysat compatibility. The primary and metadata format increases the convenience and efficiency for users of the MGS MAG data. The storage of planetary and heliophysics data in one location supports the use of data throughout the solar system for comparison, while pysat compatibility enables loading data in an identical format for ease of processing. We encourage the use of the outlined process for past, present, and future space science missions of all sizes and funding levels. This includes balloons to Flagship-class missions.

Suggested Citation

  • Teresa M. Esman & Alexa J. Halford & Jeff Klenzing & Angeline G. Burrell, 2024. "Additions to Space Physics Data Facility and pysatNASA: Increasing Mars Global Surveyor and Mars Atmosphere and Volatile EvolutioN Dataset Utility," Data, MDPI, vol. 9(11), pages 1-13, November.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:11:p:133-:d:1517064
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    References listed on IDEAS

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    1. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
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