Filters: Tags: critical mineral resources (X)
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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...
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...
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...
This data release compiles major and trace element analytical results of samples of bauxite (aluminum ore) and associated rocks collected from the Arkansas bauxite region, located near the center of Arkansas in Pulaski and Saline Counties. Samples were collected by the U.S. Geological Survey (USGS) in April 2018 as part of the USGS' focus on increased understanding of the United States' critical mineral resources. Mineral commodities, based on USGS studies, have been designated as critical where the United States is predominantly reliant on foreign sources (McCullough and Nassar, 2017; Fortier and others, 2018). The five primary aluminum smelters in the U.S., in 2017 and previous years, were dependent on imported...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Economic Geology,
GGGSC,
Geochemistry,
Geology, Geophysics, and Geochemistry Science Center,
Gravity data were collected in 2016 and 2017 to assist in mapping subsurface geology in and around the eastern Adirondack highlands, northern New York, which host numerous iron-oxide apatite deposits. Many of these deposits contain rare-earth elements, which are considered a critical mineral resource. This data release provides principal facts for 189 new gravity stations that were acquired to fill in gaps in the existing public gravity data coverage.
Categories: Data;
Tags: Addison County,
Adirondack Highlands,
Economic Geology,
Essex County,
GGGSC,
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