Dataset Closed Access
Knüpfer, Leon;
Heitkam, Sascha
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<identifier identifierType="DOI">10.14278/rodare.1700</identifier>
<creators>
<creator>
<creatorName>Knüpfer, Leon</creatorName>
<givenName>Leon</givenName>
<familyName>Knüpfer</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7012-7662</nameIdentifier>
</creator>
<creator>
<creatorName>Heitkam, Sascha</creatorName>
<givenName>Sascha</givenName>
<familyName>Heitkam</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2493-7629</nameIdentifier>
</creator>
</creators>
<titles>
<title>Data publication: A machine learning approach to determine bubble sizes in foam at a transparent wall</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2022</publicationYear>
<subjects>
<subject>bubble</subject>
<subject>foam</subject>
<subject>image segmentation</subject>
</subjects>
<dates>
<date dateType="Issued">2022-06-15</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/1700</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsReferencedBy">10.1088/1361-6501/ac556c</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-33867</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-34790</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.1699</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/closedAccess">Closed Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>Images which has been used to train the model as well as the trained model weights.</p></description>
</descriptions>
</resource>
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