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National-Scale Geophysical, Geologic, and Mineral Resource Data and Grids for the United States, Canada, and Australia: Data in Support of the Tri-National Critical Minerals Mapping Initiative

National-scale geologic, geophysical, and mineral resource raster and vector data covering the United States, Canada, and Australia are provided in this data release.

The data were compiled as part of the tri-national Critical Minerals Mapping Initiative (CMMI). The CMMI, established in 2019, is an international science collaboration between the U.S. Geological Survey (USGS), Geoscience Australia (GA), and the Geological Survey of Canada (GSC). One aspect of the CMMI is to use national- to global-scale earth science data to map where critical mineral prospectivity may exist using advanced machine learning approaches (Kelley, 2020). The geoscience information presented in this report include the training and evidential layers that cover all three countries and underpin the resultant prospectivity models for basin-hosted Pb-Zn mineralization described in Lawley and others (2022).

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Data and Resources

    Gathering Resources...

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Spatial Extent

"OpenStreetMap contributors"

Additional Info

Field Value
Maintainer Anne E McCafferty
Last Updated April 8, 2025, 11:48 (LMT)
Created February 10, 2025, 19:47 (LMT)
AI/ML Product yes
AI/ML Submission Types Generated Resource
Citation McCafferty, A.E., San Juan, C.A., Lawley, C.J.M., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Paradis, S., Peter, J.M., and Czarnota, K., 2023, National-scale geophysical, geologic, and mineral resource data and grids for the United States, Canada, and Australia: Data in support of the tri-national Critical Minerals Mapping Initiative: U.S. Geological Survey data release, https://doi.org/10.5066/P970GDD5.
Fgdc Compliancy yes
Geospatial yes
Netl Product no
Publication Date 2023-08-14
Spatial {"type":"MultiPolygon","coordinates":[[[[-57.65624999999999,71.30079291637452],[-57.65624999999999,-47.5172006978394],[-245.390625,-47.5172006978394],[-245.390625,71.30079291637452],[-57.65624999999999,71.30079291637452]]]]}