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Data for the GSA methods paper by Ryan et al.

Ryan, Edmund; Wild, Oliver


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  <identifier identifierType="DOI">10.5281/zenodo.1038670</identifier>
  <creators>
    <creator>
      <creatorName>Ryan, Edmund</creatorName>
      <givenName>Edmund</givenName>
      <familyName>Ryan</familyName>
      <affiliation>Lancaster University</affiliation>
    </creator>
    <creator>
      <creatorName>Wild, Oliver</creatorName>
      <givenName>Oliver</givenName>
      <familyName>Wild</familyName>
      <affiliation>Lancaster University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Data for the GSA methods paper by Ryan et al.</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>global sensitivity analysis, emulator, meta-model, multi-dimensional output, principal component analysis, FAST, Sobol, partial least squares, generalized additive model, atmospheric chemical transport models, tropospheric methane lifetime.</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-10-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1038670</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1038669</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/gsa_methods_paper</relatedIdentifier>
  </relatedIdentifiers>
  <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>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The model data used in the paper by Ryan et al. entitled: "&lt;strong&gt;Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output&lt;/strong&gt;".&lt;/p&gt;</description>
  </descriptions>
</resource>
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