March 10, 2022 Dataset Open Access

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

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  <dc:creator>Lalti, Ahmad</dc:creator>
  <dc:creator>Khotyaintsev, Yuri V.</dc:creator>
  <dc:creator>Dimmock, Andrew P.</dc:creator>
  <dc:creator>Johlander, Andreas</dc:creator>
  <dc:creator>Graham, Daniel B.</dc:creator>
  <dc:creator>Olshevsky, Vyacheslav</dc:creator>
  <dc:date>2022-03-10</dc:date>
  <dc:description>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</dc:description>
  <dc:identifier>https://zenodo.org/record/6343989</dc:identifier>
  <dc:identifier>10.5281/zenodo.6343989</dc:identifier>
  <dc:identifier>oai:zenodo.org:6343989</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/101004131/</dc:relation>
  <dc:relation>doi:10.48550/arXiv.2203.04680</dc:relation>
  <dc:relation>doi:10.5281/zenodo.6343988</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/sharp</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>A database of MMS bow shock crossings compiled using machine learning</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>