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Particle dataset for constructing mineral processing case studies

Pereira, Lucas; Frenzel, Max; Khodadadzadeh, Mahdi; Tolosana Delgado, Raimon; Gutzmer, Jens


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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Pereira, Lucas</dc:creator>
  <dc:creator>Frenzel, Max</dc:creator>
  <dc:creator>Khodadadzadeh, Mahdi</dc:creator>
  <dc:creator>Tolosana Delgado, Raimon</dc:creator>
  <dc:creator>Gutzmer, Jens</dc:creator>
  <dc:date>2020-05-19</dc:date>
  <dc:description>This file contains a train and a test datasets that can be used to construct fictional mineral processing studies, on a particle level, using known equations for different separation techniques. This data was collected with a mineral liberation analyzer at the Helmholtz Institute Freiberg for Resource Technology. The probabilities, and classes present together with the data are part of a publication in the journal of cleaner production. These could be simply removed in order to construct new cases.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/336</dc:identifier>
  <dc:identifier>10.14278/rodare.336</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:336</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-31053</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-30727</dc:relation>
  <dc:relation>doi:10.14278/rodare.335</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>particle-tracking; geometallurgy; mineral processing modelling; flotation; resource efficiency; automated mineralogy</dc:subject>
  <dc:title>Particle dataset for constructing mineral processing case studies</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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