WMS
Critical Minerals in Ores - Web Map Service
This web map service delivers datasets produced by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data in this service includes geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, and mineral prospectivity models for clastic-dominated (Zn, Pb) and Mississippi Valley-type (Zn-Pb) deposits across Canada, the United States, and Australia.
PLEASE NOTE: The attribute names in this service have been modified. This may break applications and other clients with dependencies on the service. For further information please contact Geoscience Australia Client Services at clientservices@ga.gov.au.
Critical Minerals
Geochemistry
Mineral Deposit
Ores
Web Service
WMS
Mineral Prospectivity Model
Geoscience Australia
Client Services
Postal
GPO Box 378
Canberra
ACT
2601
Australia
+61 2 6249 9111
+61 2 6249 9999
clientservices@ga.gov.au
NONE
© CC-BY Geoscience Australia, Geological Survey of Canada, United States Geological Survey. This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode
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Critical Minerals in Ores - Web Map Service
This web map service delivers datasets produced by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data in this service includes geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, and mineral prospectivity models for clastic-dominated (Zn, Pb) and Mississippi Valley-type (Zn-Pb) deposits across Canada, the United States, and Australia.
PLEASE NOTE: The attribute names in this service have been modified. This may break applications and other clients with dependencies on the service. For further information please contact Geoscience Australia Client Services at clientservices@ga.gov.au.
EPSG:4326
EPSG:3857
CRS:84
-180.0
180.0
-90.0
90.0
cmmi:CD_prospectivity_model
Clastic-dominated (Zn-Pb) prospectivity model
Gradient boosting machines (GBM) prospectivity model results for clastic-dominated (Zn, Pb) deposits across Canada, the United States, and Australia. Model results were filtered to remove the bottom 90% of prospectivity values for visualization purposes. The remaining prospectivity values (i.e., top 10%) are colour coded using the Fisher-Jenks algorithm.
The full description of the modelling method is freely available from: Lawley, C.J.M., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J., San Juan, C.A., and Gadd, M.G., 2022. Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials, Ore Geology Reviews, v. 141, 104635, https://doi.org/10.1016/j.oregeorev.2021.104635
The spatially indexed geological and geophysical datasets used to generate prospectivity models are freely available from: Lawley, C.J.M, McCafferty, A.E., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Paradis, S., Peter, J.M., and Czarnota, K., 2021. Geological Survey of Canada, Open File 8836, 11 pages, https://doi.org/10.4095/329203
clastic-dominated (Zn, Pb) deposits
prospectivity model
Canada
Australia
United States of America
EPSG:4326
CRS:84
-171.8765018513044
179.7736360475321
-43.5773982734053
83.10932849721581
text/html
text/html
cmmi:CriticalMineralDepositsGeochemistry
Critical Minerals - Deposits and Geochemistry
This layer delivers geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, compiled by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data was compiled from a number of publicly-available sources, including federal and provincial government mineral deposit and geochemistry databases, and the ore samples normalised to average crustal abundance (OSNACA) database compiled by the Centre for Exploration Targeting at the University of Western Australia. Geochemical data cover the majority of the periodic table, with metadata on analytical methods and detection limits. Where available, sample descriptions include lithology, mineralogy, and host stratigraphic units. Mineral deposits are classified according to the CMMI mineral deposit classification scheme (Hofstra et al., 2021). Location information includes deposit or prospect name, and sampling location (i.e., mine, field site, or borehole collar). This dataset will be updated periodically as more data become available.
Geoscience Australia: D Champion, O Raymond, D Huston, M Sexton, E Bastrakov, S van der Wielen, G Butcher, S Hawkins, J Lane, K Czarnota, I Schroder, S McAlpine, A Britt
Geological Survey of Canada: K Lauzière, C Lawley, M Gadd, J-L Pilote, A Haji Egeh, F Létourneau
United States Geological Survey: M Granitto, A Hofstra, D Kreiner, P Emsbo, K Kelley, B Wang, G Case, G Graham
Geological Survey of Queensland: V Lisitsin
PLEASE NOTE: The attribute names in this layer have been modified. This may break applications and other clients with dependencies on the service. For further information please contact Geoscience Australia Client Services at clientservices@ga.gov.au.
deposits
minerals
geochemistry
critical minerals
Canada
Australia
United States of America
EPSG:4326
CRS:84
-180.0
180.0
-90.0
90.0
text/plain
cmmi:MVT_prospectivity_model
Mississippi Valley-type (Zn-Pb) prospectivity model
Gradient boosting machines (GBM) prospectivity model results for Mississippi Valley-type (Zn, Pb) deposits across Canada, the United States, and Australia. Model results were filtered to remove the bottom 90% of prospectivity values for visualization purposes. The remaining prospectivity values (i.e., top 10%) are colour coded using the Fisher-Jenks algorithm.
The full description of the modelling method is freely available from: Lawley, C.J.M., McCafferty, A.E., Graham, G.E., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J., San Juan, C.A., and Gadd, M.G., 2022. Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials, Ore Geology Reviews, v. 141, 104635, https://doi.org/10.1016/j.oregeorev.2021.104635
The spatially indexed geological and geophysical datasets used to generate prospectivity models are freely available from: Lawley, C.J.M, McCafferty, A.E., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Paradis, S., Peter, J.M., and Czarnota, K., 2021. Geological Survey of Canada, Open File 8836, 11 pages, https://doi.org/10.4095/329203
Mississippi Valley-type (Zn-Pb)
prospectivity model
Canada
Australia
United States of America
EPSG:4326
CRS:84
-171.0883295702109
153.3272980415374
-43.5773982734053
83.11803796307375
text/html
text/html