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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
04 Nov 2024
Data description paper |
| 04 Nov 2024
| 04 Nov 2024
Integration by design: driving mineral system knowledge using multi-modal, collocated, scale-consistent characterisation
Potential Fields Geophysics, CSIRO Mineral Resources, West Lindfield, 2070, Australia
Michael Gazley
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Renee Birchall
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Ben Patterson
Potential Fields Geophysics, CSIRO Mineral Resources, West Lindfield, 2070, Australia
Jessica Stromberg
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Morgan Willams
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Andreas Björk
Potential Fields Geophysics, CSIRO Mineral Resources, West Lindfield, 2070, Australia
Monica Le Gras
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Tina D. Shelton
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Courteney Dhnaram
Mineral Systems Team, Geological Survey of Queensland, Brisbane, 4000, Australia
Vladimir Lisitsin
Mineral Systems Team, Geological Survey of Queensland, Brisbane, 4000, Australia
Tobias Schlegel
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Helen McFarlane
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
John Walshe
Australian Resources Research Centre, CSIRO Mineral Resources, Kensington, 6151, Australia
Data sets
Cloncurry METAL Database James R. Austin et al. https://doi.org/10.60623/82trleue
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.
Cloncurry METAL shifts the big-data paradigm in mineral exploration by developing a...
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