Dataset Open Access

A database of MMS bow shock crossings compiled using machine learning

Lalti, Ahmad; Khotyaintsev, Yuri V.; Dimmock, Andrew P.; Johlander, Andreas; Graham, Daniel B.; Olshevsky, Vyacheslav

We use a machine learning approach to automatically identify shock crossings from the Magnetospheric Multiscale (MMS) spacecraft. We compile a database of 2797 crossings including various spacecraft related and shock related parameters for each event. Furthermore, for each event we provide an overview plot containing key parameters of the shock crossing.

A Technical report detailing the content of the database can be found at the DOI: http://dx.doi.org/10.1029/2022JA030454

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Publication date:
March 10, 2022
DOI:
10.5281/zenodo.6343989

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10.5281/zenodo.6343989

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Grants:
European Commission:
  • SHARP - SHocks: structure, AcceleRation, dissiPation (101004131)
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License (for files):
Creative Commons Attribution 4.0 International

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Version 1 10.5281/zenodo.6343989 Mar 10, 2022
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