Particle dataset for constructing mineral processing case studies

DOI

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.

Identifier
DOI https://doi.org/10.14278/rodare.336
Related Identifier https://doi.org/10.1016/j.jclepro.2020.123711
Related Identifier https://www.hzdr.de/publications/Publ-31053
Related Identifier https://www.hzdr.de/publications/Publ-30727
Related Identifier https://doi.org/10.14278/rodare.335
Related Identifier https://rodare.hzdr.de/communities/energy
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:336
Provenance
Creator Pereira, Lucas ORCID logo; Frenzel, Max (ORCID: 0000-0001-6625-559X); Khodadadzadeh, Mahdi (ORCID: 0000-0001-7899-738X); Tolosana Delgado, Raimon ORCID logo; Gutzmer, Jens ORCID logo
Publisher Rodare
Publication Year 2020
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences