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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{
  "abstract": "<p>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.</p>", 
  "issued": {
    "date-parts": [
      [
        2020, 
        5, 
        19
      ]
    ]
  }, 
  "language": "eng", 
  "author": [
    {
      "family": "Pereira, Lucas"
    }, 
    {
      "family": "Frenzel, Max"
    }, 
    {
      "family": "Khodadadzadeh, Mahdi"
    }, 
    {
      "family": "Tolosana Delgado, Raimon"
    }, 
    {
      "family": "Gutzmer, Jens"
    }
  ], 
  "title": "Particle dataset for constructing mineral processing case studies", 
  "DOI": "10.14278/rodare.336", 
  "type": "dataset", 
  "id": "336", 
  "publisher": "Rodare"
}
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Publication date:
May 19, 2020
DOI:
10.14278/rodare.336

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10.14278/rodare.336

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Keyword(s):
particle-tracking geometallurgy mineral processing modelling flotation automated mineralogy resource efficiency
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-31053
Referenced by:
10.1016/j.jclepro.2020.123711, https://www.hzdr.de/publications/Publ-30727
Communities:
License (for files):
Creative Commons Attribution 4.0 International

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Version 1 10.14278/rodare.336 May 19, 2020
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