Software Open Access
Eichelbaum, Sophia Sebastian;
Kulenkampff, Johannes
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<identifier identifierType="DOI">10.14278/rodare.4613</identifier>
<creators>
<creator>
<creatorName>Eichelbaum, Sophia Sebastian</creatorName>
<givenName>Sophia Sebastian</givenName>
<familyName>Eichelbaum</familyName>
<affiliation>nemtics.com</affiliation>
</creator>
<creator>
<creatorName>Kulenkampff, Johannes</creatorName>
<givenName>Johannes</givenName>
<familyName>Kulenkampff</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6566-5829</nameIdentifier>
<affiliation>HZDR</affiliation>
</creator>
</creators>
<titles>
<title>GeoPET_Flow</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2026</publicationYear>
<subjects>
<subject>Flow processes</subject>
<subject>Motion tracking</subject>
<subject>Porous Media</subject>
<subject>Process tomography</subject>
<subject>c++</subject>
</subjects>
<dates>
<date dateType="Issued">2026-04-15</date>
</dates>
<resourceType resourceTypeGeneral="Software"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4613</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-43258</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4612</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/fwo</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
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<version>1.1.0</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"><p>Reconstruction of the spatial 3D-vector-field of flow and the 3D-scalar-field of effective volume of flow from a 4D-spatiotemporal concentration field, in particular from time series of PET-frames (positron emission tomography) on laboratory samples of geomaterial (rock and soil).</p>
<p>Content: zip-file of the GitLab-Project hosted at https://codebase.helmholtz.cloud/geopet/geopet_flow</p></description>
</descriptions>
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