August 25, 2025 Dataset Open Access

Kamath, Akshay Vijay

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  <identifier identifierType="DOI">10.14278/rodare.3943</identifier>
  <creators>
    <creator>
      <creatorName>Kamath, Akshay Vijay</creatorName>
      <givenName>Akshay Vijay</givenName>
      <familyName>Kamath</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3407-5222</nameIdentifier>
      <affiliation>Helmholtz Institute Freiberg</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Pre-trained ensemble for Geyer Data (Tensorweave)</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2025</publicationYear>
  <dates>
    <date dateType="Issued">2025-08-25</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3943</alternateIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset contains a joblib pickle file with a pre-trained ensemble model for Magnetic Gradiometry data from Geyer, Germany. This can be downloaded and used with the notebooks provided in the&amp;nbsp;&lt;a href="https://github.com/k4m4th/tensorweave"&gt;tensorweave&lt;/a&gt;&amp;nbsp;repository.&lt;/p&gt;</description>
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