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Data 4 paper: 3D quantitative mineral characterization of particles using X-ray computed tomography

Da Assuncao Godinho, Jose Ricardo

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{
  "abstract": "<p>Grey-scale data for the two particulate samples: AllSizes (every particles &lt;1 mm) and &gt;710 (particle sizes 0.71-1 mm).</p>\n\n<p>710 Grey is 16 bit</p>\n\n<p>AllSizes Grey is 8bit</p>\n\n<p>AllSizes Particles is binary</p>", 
  "author": [
    {
      "family": "Da Assuncao Godinho, Jose Ricardo"
    }
  ], 
  "id": "1710", 
  "language": "eng", 
  "publisher": "Rodare", 
  "DOI": "10.14278/rodare.1710", 
  "type": "dataset", 
  "title": "Data 4 paper: 3D quantitative mineral characterization of particles using X-ray computed tomography", 
  "issued": {
    "date-parts": [
      [
        2022, 
        10, 
        23
      ]
    ]
  }
}
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Publication date:
October 23, 2022
DOI:
10.14278/rodare.1710

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10.14278/rodare.1710

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Keyword(s):
X-ray computed tomography mineralogy MSPaCMAn Quantification Classification 3d image
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-35806
Referenced by:
https://www.hzdr.de/publications/Publ-35245
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License (for files):
Creative Commons Attribution 1.0 Generic

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Version 1 10.14278/rodare.1710 Oct 23, 2022
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