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Christopher JM Lawley

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Data presented here include a shapefile that combines fault data for the United States and Canada (Chorlton, 2007; Reed and others, 2005; Styron and Pagani, 2020) and a shapefile of faults for Australia (Chorlton, 2007; Raymond and others, 2012; Styron and Pagani, 2020). These two shapefiles were used as an evidential layer to evaluate the mineral prospectivity for sediment-hosted Pb-Zn deposits (Lawley and others, 2022). References Chorlton, L.B., 2007, Generalized geology of the world: Bedrock domains and major faults in GIS format: a small-scale world geology map with an extended geological attribute database: Geological Survey of Canada Open File 5529, https://doi.org/10.4095/223767. Lawley, C.J.M., McCafferty,...
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This compilation contains a list of approximately 8,600 sites across the United States, Canada, and Australia where Zn-Pb-mineralized rock is attributed to basinal brine-related mineralizing processes, specifically assigned to Mississippi Valley Type (MVT) or clastic-dominated (CD) deposit types; a second group of 147 sites, classified as “unknown”, but which may have similar genesis, is also included. These sites were selected based on interpretations of 16 published databases, including the Mineral Resources Data System (USGS, 2016) and the Alaska Resource Data File (USGS, 1996) for the United States, and comprise a significant but not necessarily complete dataset. Each site is further classified by deposit type...
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These data provide geologic information, including generalized lithology, geologic age, and paleo-latitude and -longitude of geologic units, for the United States, Canada, and Australia, in an H3 Discrete Global Grid System (DGGS) hexagonal format (Uber Technologies Inc., 2020) with an average hexagon area of 5.16 square kilometers. The data are presented as the shapefile version of ASCII data developed by Lawley and others (2021) for prospectivity modeling of basin-hosted Pb-Zn mineralization in the United States, Canada, and Australia (Lawley and others, 2022). References 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, Datasets...
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These data present geologic map units for the United States (Horton and others, 2017; Wilson and others, 2015) and Australia (Raymond and others, 2012) reclassified to 31 generalized sub-type lithologic groups of igneous, metamorphic, and sedimentary rocks (Lawley and others, 2022). These generalized classifications are based on interpretation of map unit descriptions in the different map compilations. Given that map unit descriptions often contain multiple rock types, there were subjective calls necessary when assigning generalized lithologic classification. The data were developed as part of the tri-national Critical Minerals Mapping Initiative (Kelley, 2020) between the United States, Canada, and Australia, an...
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GeoTiff grids of models of prospectivity for clastic-dominated (CD) and Mississippi Valley-type (MVT) Pb-Zn mineralization for the US and Canada (combined) and Australia that used data provided in this report are provided here. The models are the result of a study by Lawley and others (2022) that used a data-driven machine learning approach called Gradient Boosting to predict the mineral prospectivity for clastic-dominated (CD) and carbonate-hosted (MVT) deposits across the United States, Canada, and Australia. The study was part of a tri-national collaboration between the U.S. Geological Survey, the Canadian Geological Survey, and Geoscience Australia called the Critical Minerals Mapping Initiative. The original...
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