Dataset Open Access
Lalti, Ahmad;
Khotyaintsev, Yuri V.;
Dimmock, Andrew P.;
Johlander, Andreas;
Graham, Daniel B.;
Olshevsky, Vyacheslav
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<org:memberOf> <foaf:Organization> <foaf:name>The Swedish Institute of Space Physics (IRF), Uppsala, Sweden.</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0001-8467-0041"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0001-8467-0041</dct:identifier> <foaf:name>Olshevsky, Vyacheslav</foaf:name> <foaf:givenName>Vyacheslav</foaf:givenName> <foaf:familyName>Olshevsky</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Main Astronomical Observatory, Kyiv, Ukraine</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>A database of MMS bow shock crossings compiled using machine learning</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2022</dct:issued> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/H2020/101004131/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2022-03-10</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/6343989"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/6343989</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <foaf:page rdf:resource="https://doi.org/10.48550/arXiv.2203.04680"/> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.6343988"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/sharp"/> <owl:versionInfo>1</owl:versionInfo> <dct:description><p>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.</p> <p>A Technical report detailing the content of the database can be found at the DOI: http://dx.doi.org/10.1029/2022JA030454</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.6343989"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.6343989"/> <dcat:byteSize>1362141999</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/6343989/files/database_and_overview_plots.zip"/> <dcat:mediaType>application/zip</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/H2020/101004131/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">101004131</dct:identifier> <dct:title>SHocks: structure, AcceleRation, dissiPation</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/100010661</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> </rdf:RDF>
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