May 19, 2020 Dataset Open Access

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

DCAT Export

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    <dct:title>Particle dataset for constructing mineral processing case studies</dct:title>
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    <dcat:keyword>particle-tracking</dcat:keyword>
    <dcat:keyword>geometallurgy</dcat:keyword>
    <dcat:keyword>mineral processing modelling</dcat:keyword>
    <dcat:keyword>flotation</dcat:keyword>
    <dcat:keyword>automated mineralogy</dcat:keyword>
    <dcat:keyword>resource efficiency</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-05-19</dct:issued>
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    <dct:description>&lt;p&gt;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.&lt;/p&gt;</dct:description>
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