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Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Graham W Lederer (X)

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A mineral resource assessment for tungsten, a critical mineral commodity (see 'Related External Resources' section below) for the United States, was carried out by the U.S. Geological Survey (USGS) for a portion of the Great Basin region, in western Nevada and eastern California, between latitudes 36N and 42N and longitudes 116W and 120W. This study (Lederer and others, in review) integrates data from several sources, including geologic, geochemical, geophysical, remote sensing, watershed analysis, and mining with recently developed grade and tonnage models, expert estimates, and software tools and analyses to generate probabilistic estimates of undiscovered tungsten skarn resources. The assessment was conducted...
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map feature extraction challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map georeferencing challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the competition are provided here, as well as competition details and baseline solutions. The data are derived from published sources and are provided to the public to...
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Crystalline graphite is a primary material in lithium-ion battery anodes which are essential in moving towards green energy. Forecasts for 2040 anticipate an order of magnitude increase in graphite demand driven by sustainable development policies to reduce carbon emissions. Domestic production of graphite ceased in the 1980s after a steady decline post-World War I, meaning the United States relies on natural graphite imports from producers such as China or high-cost synthetic graphite. The current crystalline graphite flake model was released in 1992 and used 100 sites with graphite production. The updated grade and tonnage model uses 72 graphite sites with reports of flake graphite. The updated model implies economically...


    map background search result map search result map Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California—Simulation results Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase Training and validation data from the AI for Critical Mineral Assessment Competition Map georeferencing challenge training and validation data Map feature extraction challenge training and validation data Grade and tonnage data for disseminated flake graphite deposits Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California—Simulation results Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase Training and validation data from the AI for Critical Mineral Assessment Competition Map georeferencing challenge training and validation data Map feature extraction challenge training and validation data Grade and tonnage data for disseminated flake graphite deposits