Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 11
Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5027-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-5027-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 11
Data description paper
 | 
04 Nov 2024
Data description paper |  | 04 Nov 2024

Integration by design: driving mineral system knowledge using multi-modal, collocated, scale-consistent characterisation

James R. Austin, Michael Gazley, Renee Birchall, Ben Patterson, Jessica Stromberg, Morgan Willams, Andreas Björk, Monica Le Gras, Tina D. Shelton, Courteney Dhnaram, Vladimir Lisitsin, Tobias Schlegel, Helen McFarlane, and John Walshe

Viewed

Total article views: 1,414 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
713 642 59 1,414 47 50
  • HTML: 713
  • PDF: 642
  • XML: 59
  • Total: 1,414
  • BibTeX: 47
  • EndNote: 50
Views and downloads (calculated since 20 Feb 2024)
Cumulative views and downloads (calculated since 20 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,414 (including HTML, PDF, and XML) Thereof 1,308 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
Short summary
Cloncurry METAL shifts the big-data paradigm in mineral exploration by developing a quantitative, fully integrated, multi-modal, scale-consistent methodology for mineral system characterisation. The data comprise collocated petrophysical–mineralogical–geochemical–structural–metasomatic characterisation of 23 deposits from a highly complex mineral system. This approach enables translation of the mineral system processes into physics, providing a framework for smarter geophysics-based exploration.
Read more
Altmetrics
Final-revised paper
Preprint