Dataset Open Access

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="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <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: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: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>
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