Physical Scientist
Geology, Geophysics, and Geochemistry Science Center
Email:
mgoldman@usgs.gov
Office Phone:
303-236-1727
Fax:
303-236-1229
ORCID:
0000-0003-2232-6362
Location
DFC Bldg 20
Box 25046
Denver Federal Center
Denver
, CO
80225-0046
US
Supervisor:
Amy M Bern
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A mineral resource assessment was performed by the U.S. Geological Survey (USGS) to assess the potential of undiscovered skarn-hosted tungsten resources in the Northern Rocky Mountain region of eastern Idaho and western Montana. This region has seen moderate tungsten trioxide (WO3) production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The geology of the area is dominated by large plutons of Cretaceous to Tertiary age, emplaced into a belt of sedimentary rock ranging from Mesoproterozoic to Permian age, and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten (W) skarn mineral sites are associated with...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Ashton,
Bald Mountain,
Beaverhead County,
Bitterroot Range,
Boise County, All tags...
Bozeman,
Broadwater County,
Butte,
Challis,
Choteau,
Cretaceous,
Custer County,
Deer Lodge County,
Dillon,
Dubois,
Elk City,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Granite County,
Great Falls,
Hamilton,
Helena,
Idaho,
Idaho County,
Jefferson County,
Lewis and Clark County,
Little Belt Mountains,
MRP,
Madison County,
Mesoproterozoic,
Mineral Resources Program,
Montana,
Northern Rocky Mountains,
Paleozoic,
Pioneer Mountains,
Powell County,
Ravali County,
Rocky Mountain,
Silver Bow County,
Tertiary,
Thompson Creek,
U.S. Geological Survey,
USGS,
USGS Science Data Catalog (SDC),
United States,
Valley County,
Wallace,
White Sulphur Spring,
Yellow Pine,
economic geology,
economy,
geochemistry,
geophysics,
geoscientificInformation,
idaho,
igneous rocks,
metallic mineral resources,
mineral assessment,
mineral assessment,
mineral deposits,
mineral resources,
montana,
plutonic rocks,
rocks and deposits,
sedimentary rocks,
tungsten,
tungsten, Fewer tags
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The Denver Microbeam Laboratory (DML) provides infrastructure and expertise for basic and advanced microanalytical research carried out by scientists from most Mission Areas of the USGS as well as outside collaborators. The laboratory houses optical microscopes, digital microscopes, scanninging electron microscopes, energy dispersive spectrometers, electron backscattered diffraction, cathodoluminescence, and electron microprobes. The data collected in the Denver Microbeam Lab is used by researchers in the fields of mineralogy, petrology, geologic mapping, hydrology, biology, and environmental science.
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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...
Categories: Data;
Tags: AI,
Artificial Intelligence,
GIS,
ML,
North America, All tags...
competition,
critical mineral resources,
digitization,
economy,
geological maps,
geoscientificInformation,
geospatial datasets,
machine learning,
modeling,
resource assessment,
tool development,
topographic maps,
training data, Fewer tags
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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...
Categories: Data;
Tags: AI,
Artificial Intelligence,
GIS,
ML,
North America, All tags...
competition,
critical mineral resources,
digitization,
economy,
geological maps,
geoscientificInformation,
geospatial datasets,
machine learning,
modeling,
resource assessment,
tool development,
topographic maps,
training data, Fewer tags
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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...
Categories: Data;
Tags: "Geography"],
"Mineral Resources",
AI,
Artificial Intelligence,
GIS, All tags...
ML,
North America,
USGS Science Data Catalog (SDC),
["Economic Geology",
competition,
critical mineral resources,
digitization,
economy,
geological maps,
geoscientificInformation,
geospatial datasets,
machine learning,
modeling,
resource assessment,
tool development,
topographic maps,
training data, Fewer tags
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