April 7, 2022 Software Open Access

Huebl, Axel; Poeschel, Franz; Koller, Fabian; Gu, Junmin

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  <identifier identifierType="DOI">10.14278/rodare.1534</identifier>
  <creators>
    <creator>
      <creatorName>Huebl, Axel</creatorName>
      <givenName>Axel</givenName>
      <familyName>Huebl</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1943-7141</nameIdentifier>
      <affiliation>Lawrence Berkeley National Laboratory</affiliation>
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    <creator>
      <creatorName>Poeschel, Franz</creatorName>
      <givenName>Franz</givenName>
      <familyName>Poeschel</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7042-5088</nameIdentifier>
      <affiliation>Center for Advanced Systems Understanding (CASUS)</affiliation>
    </creator>
    <creator>
      <creatorName>Koller, Fabian</creatorName>
      <givenName>Fabian</givenName>
      <familyName>Koller</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8704-1769</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
    </creator>
    <creator>
      <creatorName>Gu, Junmin</creatorName>
      <givenName>Junmin</givenName>
      <familyName>Gu</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1521-8534</nameIdentifier>
      <affiliation>Lawrence Berkeley National Laboratory</affiliation>
    </creator>
  </creators>
  <titles>
    <title>C++ &amp; Python API for Scientific I/O with openPMD</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>openPMD</subject>
    <subject>Open Science</subject>
    <subject>Open Data</subject>
    <subject>HDF5</subject>
    <subject>ADIOS</subject>
    <subject>data</subject>
    <subject>MPI</subject>
    <subject>HPC</subject>
    <subject>research</subject>
    <subject>file-format</subject>
    <subject>file-handling</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2022-04-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
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    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/1534</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy">10.5281/zenodo.33624</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-27579</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.27</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/ecfunded</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
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  <version>0.14.4</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/LGPL-3.0">GNU Lesser General Public License v3.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities.&lt;/p&gt;</description>
    <description descriptionType="Other">Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/654220/">654220</awardNumber>
      <awardTitle>European Cluster of Advanced Laser Light Sources</awardTitle>
    </fundingReference>
  </fundingReferences>
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