Dataset Open Access

Data for Upscaling mineralogy with hyperspectral data: a benchmark dataset and machine learning framework to enable hyperspectral geometallurgy

Thiele, Samuel Thomas; Kirsch, Moritz; Frenzel, Max; Tolosana Delgado, Raimon; Kamath, Akshay Vijay; Guy, Bradley Martin; Kim, Yongwhi; Laura, Tusa; Járóka, Tom; Gloaguen, Richard

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
72
15
views
downloads
All versions This version
Views 7272
Downloads 1515
Data volume 24.0 GB24.0 GB
Unique views 6565
Unique downloads 1313
More info on how stats are collected.
Publication date:
March 30, 2026
DOI:
10.14278/rodare.4582

RODARE DOI Badge

DOI 

10.14278/rodare.4582

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4582.svg)](https://doi.org/10.14278/rodare.4582)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4582.svg
   :target: https://doi.org/10.14278/rodare.4582

HTML 

<a href="https://doi.org/10.14278/rodare.4582"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4582.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4582.svg

Target URL 

https://doi.org/10.14278/rodare.4582

Keyword(s):
hyperspectral mineralogy mineral liberation analysis machine learning benchmark geometallurgy
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-43223
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1.0 10.14278/rodare.4582 Mar 30, 2026
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.4581. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export