Dataset Open Access
Particle dataset for constructing mineral processing case studies
Pereira, Lucas;
Frenzel, Max;
Khodadadzadeh, Mahdi;
Tolosana Delgado, Raimon;
Gutzmer, Jens
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.
Files
(14.4 MB)
| Name | Size | |
|---|---|---|
|
SM1.Constructed cases data.xlsx
md5:ef7703f237530734444473981eaccb2a |
14.4 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 1,028 | 1,016 |
| Downloads | 69 | 69 |
| Data volume | 990.2 MB | 990.2 MB |
| Unique views | 406 | 400 |
| Unique downloads | 61 | 61 |
- Publication date:
- May 19, 2020
- DOI:
-
- 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