July 28, 2026 Dataset Open Access

Abdolahzade, Mahsa; Renno, Axel D.; Debastiani, Rafaela; Ebert, Doreen; Guy, Bradley; Moeckel, Robert

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  <identifier identifierType="DOI">10.14278/rodare.4769</identifier>
  <creators>
    <creator>
      <creatorName>Abdolahzade, Mahsa</creatorName>
      <givenName>Mahsa</givenName>
      <familyName>Abdolahzade</familyName>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
    <creator>
      <creatorName>Renno, Axel D.</creatorName>
      <givenName>Axel D.</givenName>
      <familyName>Renno</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8289-1059</nameIdentifier>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
    <creator>
      <creatorName>Debastiani, Rafaela</creatorName>
      <givenName>Rafaela</givenName>
      <familyName>Debastiani</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4396-8612</nameIdentifier>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
    <creator>
      <creatorName>Ebert, Doreen</creatorName>
      <givenName>Doreen</givenName>
      <familyName>Ebert</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0001-0426-9774</nameIdentifier>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
    <creator>
      <creatorName>Guy, Bradley</creatorName>
      <givenName>Bradley</givenName>
      <familyName>Guy</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0000-3643-6349</nameIdentifier>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
    <creator>
      <creatorName>Moeckel, Robert</creatorName>
      <givenName>Robert</givenName>
      <familyName>Moeckel</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2583-6889</nameIdentifier>
      <affiliation>HZDR-HIF</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Data publication from the Master's thesis "Mapping Metal Phase Distribution in Historical Muldenhütten Slag Using X-ray Computed Tomography" by Mahsa Abdolahzade.</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>X-ray computed tomography</subject>
    <subject>historical metallurgical slag</subject>
    <subject>method development</subject>
    <subject>threshold segmentation</subject>
    <subject>correlative characterisation</subject>
    <subject>Muldenhütten</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2026-07-28</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4769</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-43694</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4768</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <version>1 - 28.07.2026</version>
  <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;Data publication from the Master&amp;#39;s thesis &amp;quot;&lt;strong&gt;Mapping Metal Phase Distribution in Historical Muldenh&amp;uuml;tten Slag Using X-ray Computed Tomography&lt;/strong&gt;&amp;quot; by &lt;strong&gt;Mahsa Abdolahzade&lt;/strong&gt;.&lt;/p&gt;

&lt;p&gt;The data is described in the file &amp;quot;Data publication description relative to the Master thesis Mahsa&amp;nbsp;Abdolahzade&amp;quot;&lt;/p&gt;

&lt;p&gt;Abstract:&amp;nbsp;&lt;br&gt;
Historical metallurgical slags are heterogeneous multiphase materials in which metal-rich constituents may occur as highly localised internal domains. This thesis developed and evaluated an X-ray computed tomography (XCT) workflow for the non-destructive three-dimensional characterisation of selected historical Muldenh&amp;uuml;tten slags. The methodological focus was the distinction and quantification of three broad attenuation-based classes: internal pores, the dominant slag matrix and high-attenuation features.&lt;/p&gt;

&lt;p&gt;Multiscale XCT was applied to samples MS15 and MS18 from slag group SL7 and MS35 from slag group SL3. Fragment scans were used to visualise internal heterogeneity and guide region-of-interest selection, followed by higher-resolution scanning of 11 extracted cylindrical cores. Scan-specific grey-value thresholds, spatial masks and connected-component analysis were used to quantify class volumes and evaluate feature connectivity.&amp;nbsp;Complementary micro-X-ray fluorescence mapping and targeted SEM&amp;ndash;EDS and mineral liberation analysis (MLA) constrained the chemical and mineralogical interpretation of selected XCT-visible regions, while existing X-ray diffraction data provided sample-level context.&lt;/p&gt;

&lt;p&gt;The slag matrix dominated all analysed cores, accounting for 86.38&amp;ndash;98.02 vol.%. Internal pore fractions ranged from 0.62 to 7.57 vol.%, while high-attenuation material generally represented 0.59&amp;ndash;2.80 vol.%. MS15-01-C1 was a clear exception, containing 12.90 vol.% high-attenuation material, of which 88.2% occurred in one connected region. Correlative &amp;micro;XRF and MLA results identified this feature as a localised Pb-rich metallic domain containing native Pb, Sb-bearing alloys and subordinate sulphide-bearing phases. The remaining investigated volumes were predominantly silicate dominated and contained smaller, more dispersed high-attenuation features.&lt;/p&gt;

&lt;p&gt;The results demonstrate that conventional grey-value segmentation is suitable for quantifying broad structural and attenuation classes where sufficient contrast exists, but not for complete mineral-specific classification of complex slag. Overlapping attenuation responses, scan-dependent grey values, spatial-resolution limits, artefacts and partial-volume effects restricted phase separation. The developed workflow is therefore most effective as a non-destructive localisation and volumetric characterisation method integrated with targeted chemical and mineralogical analyses. It provides a basis for representative sample selection and future metal-deportment, recovery and environmental studies, while the results remain specific to the analysed fragments and core volumes.&lt;br&gt;
&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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