May 19, 2020 Dataset Open Access

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

Dublin Core Export

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  <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>doi:10.1016/j.jclepro.2020.123711</dc:relation>
  <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</dc:subject>
  <dc:subject>geometallurgy</dc:subject>
  <dc:subject>mineral processing modelling</dc:subject>
  <dc:subject>flotation</dc:subject>
  <dc:subject>automated mineralogy</dc:subject>
  <dc:subject>resource efficiency</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>