Skip to main content
Advanced Search

Filters: Contacts: Garth E Graham (X)

31 results (46ms)   

View Results as: JSON ATOM CSV
thumbnail
This data release contains the analytical results and the evaluated source data files of a geospatial analysis for identifying areas in Alaska that may have potential for sediment-hosted Pb-Zn (lead-zinc) deposits. The spatial analysis is based on queries of statewide source datasets Alaska Geochemical Database (AGDB3), Alaska Resource Data File (ARDF), and Alaska Geologic Map (SIM3340) within areas defined by 12-digit HUCs (subwatersheds) from the National Watershed Boundary dataset. The packages of files available for download are: 1. The results in geodatabase format are in SedPbZn_Results_gdb.zip. The analytical results for sediment-hosted Pb-Zn deposits are in a polygon feature class which contains the points...
thumbnail
Corescan© Hyperspectral Core Imager Mark III (HCI-III) system data were acquired for hand samples, and subsequent billets made from the hand samples, collected during the U.S. Geological Survey (USGS) 2014, 2015, and 2016 field seasons in the Nabesna area of the eastern Alaska Range. This area contains exposed porphyry deposits and hand samples were collected throughout the region in support of the HyMap imaging spectrometer survey (https://doi.org/10.5066/F7DN435W) (Kokaly and others, 2017a). The HCI-III system consists of three different components. The first is an imaging spectrometer which collects reflectance data with a spatial resolution of approximately 500 nanometers (nm) for 514 spectral channels covering...
thumbnail
This data release is part of a 2016-2019 study on the geology, geochemistry and geochronology of ore systems in the eastern Yukon-Tanana Upland region, Alaska. Whole rock chemistry was conducted on 185 samples, mostly from Au prospects, with lesser samples from porphyry Cu prospects. Geographically, most samples are from gold prospects near the Pogo Au mine and east to Black Mountain in the Big Delta quadrangle. Fewer samples are from prospects in the Eagle and Tanacross Quadrangles. Samples were submitted to the USGS contract laboratory and analyzed for select trace elements and gold. Sixty elements were determined by inductively coupled plasma-optical emission spectroscopy-mass spectroscopy (ICP-OES-MS), sodium...
thumbnail
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...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ARDS, Alaska, Alaska Mineral Resource Data, Australia, Canada, All tags...
thumbnail
HySpex by NEO (HySpex) VNIR-1800 and SWIR-384 imaging spectrometer radiance data were acquired on September 14, 2017 at the Cresson Pit of the Cripple Creek & Victor mine in Cripple Creek, Colorado. ASD FieldSpecⓇ NG data were collected on September 13 and 14, 2017 at two calibration sites within the Cresson Pit imaged with the HySpex imaging spectrometers. The HySpex VNIR-1800 imaging spectrometer is a push broom type instrument that utilizes 1800 pixels to collect 186 channels of spectral data in the region of 400 to 1000 nanometers (nm). The spectral sampling interval of the HySpex VNIR-1800 is 3.26 nm with a 17° field of view (Norsk Elektro Optikk AS, 2016b). The HySpex SWIR-384 imagining spectrometer is a push...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
This data release includes geochemical, x-ray diffraction mineralogical, and electron probe microanalysis (EPMA) data on rocks, soils, and sediments collected near the Orange Hill and Bond Creek porphyry copper deposits, Nabesna quadrangle, Alaska. Geochemical analyses were completed by a laboratory under contract with the U.S. Geological Survey (USGS). Electron microprobe and x-ray diffraction mineralogical analyses were completed by personnel of the Central Region Minerals Program in Denver, Colorado. The samples were collected and analyzed during 2014 to 2016, selected to help characterize the distribution and composition of mineralized and unmineralized geologic materials in this remote part of the eastern Alaska...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Alaska Range, Alder Gulch, Bond Creek, Chathenda Creek, All tags...
thumbnail
Mineral predominance data were a derivative product from the Corescan© reflectance data. Corescan Hyperspectral Core Imager Mark III (HCI-III) system data were acquired for hand samples, and subsequent billets made from the hand samples, collected during the U.S. Geological Survey (USGS) 2014, 2015, and 2016 field seasons in the Nabesna area of the eastern Alaska Range. This area contains exposed porphyry deposits and hand samples were collected throughout the region in support of the HyMap imaging spectrometer survey (https://doi.org/10.5066/F7DN435W) (Kokaly and others, 2017a). The HCI-III system consists of three different components. The first is an imaging spectrometer which collects reflectance data with a...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
Corescan© Hyperspectral Core Imager Mark III (HCI-III) system data were acquired for hand samples, and subsequent billets made from the hand samples, collected during the U.S. Geological Survey (USGS) 2014, 2015, and 2016 field seasons in the Nabesna area of the eastern Alaska Range. This area contains exposed porphyry deposits and hand samples were collected throughout the region in support of the HyMap imaging spectrometer survey (https://doi.org/10.5066/F7DN435W) (Kokaly and others, 2017a). The HCI-III system consists of three different components. The first is an imaging spectrometer which collects reflectance data with a spatial resolution of approximately 500 nanometers (nm) for 514 spectral channels covering...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Alaska, Alaska, Alaska Range, Bond Creek, Canada, All tags...
thumbnail
Compressed file SedPbZn_Results_gdb.zip contains the analytical results of a geospatial analysis for identifying areas in Alaska that may have potential for sediment-hosted Pb-Zn (lead-zinc) deposits. The spatial analysis is based on queries of statewide source datasets Alaska Geochemical Database (AGDB3), Alaska Resource Data File (ARDF), and Alaska Geologic Map (SIM3340) within areas defined by 12-digit HUCs (subwatersheds) from the National Watershed Boundary dataset. An ArcMap mxd file, layer file, and geodatabase with cartographic layers is provided for users to view the analytical results in ArcMap. Additional files include FGDC metadata, a pdf showing the query parameters for the analysis, and a README file....
thumbnail
Approximately 1,900 square kilometers of imagery were collected from July 14 to July 21, 2014 using a HyMap™ sensor (Cocks and others, 1998) mounted on a modified Piper Navajo aircraft. The survey area covered parts of the Wrangell and Nutzotin Mountains in the eastern Alaska Range near Nabesna, Alaska. The aircraft was flown at an altitude of approximately 5,050 meters (m) (3,480 m above the mean ground surface elevation of 1570 m) resulting in average ground spatial resolution of 6.7 m. HyMap measured reflected sunlight in 126 narrow channels that cover the wavelength region of 455 to 2,483 nanometers (nm). Data were delivered by the operators of the sensor (HyVista Corp., Australia) in units of radiance (Kokaly...
thumbnail
HySpex by NEO (HySpex) VNIR-1800 and SWIR-384 imaging spectrometer radiance data were acquired on September 14, 2017 at the Cresson Pit of the Cripple Creek & Victor mine in Cripple Creek, Colorado. ASD FieldSpecⓇ NG data were collected on September 13 and 14, 2017 at two calibration sites within the Cresson Pit imaged with the HySpex imaging spectrometers. The HySpex VNIR-1800 imaging spectrometer is a push broom type instrument that utilizes 1800 pixels to collect 186 channels of spectral data in the region of 400 to 1000 nanometer (nm). The spectral sampling interval of the HySpex VNIR-1800 is 3.26 nm with a 17° field of view (Norsk Elektro Optikk AS, 2016b). The HySpex SWIR-384 imagining spectrometer is a push...
thumbnail
Measurements of reference materials were made on the Corescan© HCI-III to evaluate the supplied channel wavelength positions and bandpass values. Wavelength position and bandpass of channels in a spectrometer, referred to as full-width half max (FWHM) in the contractor's documentation (Corescan_Product_MetaData_v3.pdf), are two fundamental spectral characteristics that need to be known in order to spectrally identify minerals by comparison to a spectral library, like the Material Identification and Characterization Algorithm (MICA) analysis used to generate the mineral predominance maps. Spectrometers with finer bandpass can reveal greater spectral detail that can be related to a material’s chemical composition...
thumbnail
Two shapefiles mapping the locations of ancient and modern passive margin boundaries are presented. These data are a digital recreation of the work originally published by Bradley (2008). The ancient passive margin data were used as an evidential layer to map prospectivity for sediment-hosted Pb-Zn mineral systems (Lawley and others, 2022). The ancient passive margins dataset includes additional attributes related to the boundary's orogenic setting and history, the length of the boundary, its estimated lifespan, and its modern-day country location. Although only ancient passive margin boundaries were analyzed for the United States, Canada, and Australia for this study, boundaries for the world are included in the...
thumbnail
Compressed file sedPbZn_SourceData_gdb.zip contains the GIS datasets and Python scripts used to calculate the estimated potential and certainty that sediment-hosted Pb-Zn (lead-zinc) deposits might be present in an area in Alaska. The statewide datasets include: Alaska Geochemical Database (AGDB3), Alaska Resource Data File (ARDF), lithology layers created from Alaska Geologic Map (SIM3340), and 12-digit HUCs, subwatersheds from the National Watershed Boundary dataset. FGDC metadata for all datasets are included. In addition, files are included for the user to modify the parameters of the analysis. These include two Python scripts, 1) used to score ARDF sites for sediment-hosted Pb-Zn potential, and 2) to evaluate...


map background search result map search result map Whole rock, soil, sediment, x-ray diffraction, and electron microprobe analyses of samples from the Orange Hill-Bond Creek area, Nabesna Quadrangle, Alaska Imaging spectrometer reflectance data, mineral predominance map, and white mica wavelength position map, Nabesna Quadrangle, Alaska Corescan© Hyperspectral Core Imager, Mark III system data collected for the characterization of mineral resources near Nabesna, Alaska, 2014-2016 LaserProfiler MineralPredominance Calibration Whole rock geochemical data from the eastern part of the Yukon-Tanana Upland region, Alaska, USA Data and results for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska 02 - Source Data for GIS-based Identification of Areas that have Resource Potential for Sediment-hosted Pb-Zn Deposits in Alaska 01 - Results for GIS-based Identification of Areas that have Resource Potential for Sediment-hosted Pb-Zn Deposits in Alaska 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 [Geological Data] Shapefiles of ancient and modern passive margins for the world [Geological Data] Basin-hosted (CD/SEDEX and MVT) Zn-Pb deposits and prospects for the United States, Canada, and Australia HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometer radiance and reflectance data, with associated ASD FieldSpecⓇ NG calibration data, collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017 [Geological Data] Geology shapefiles for the United States and Australia [Geological Data] Gridded geology shapefiles for the United States, Canada, and Australia ASD FieldSpecⓇ  NG calibration data - collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017 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 HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometer radiance and reflectance data, with associated ASD FieldSpecⓇ NG calibration data, collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017 ASD FieldSpecⓇ  NG calibration data - collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017 LaserProfiler MineralPredominance Calibration Corescan© Hyperspectral Core Imager, Mark III system data collected for the characterization of mineral resources near Nabesna, Alaska, 2014-2016 Whole rock, soil, sediment, x-ray diffraction, and electron microprobe analyses of samples from the Orange Hill-Bond Creek area, Nabesna Quadrangle, Alaska Whole rock geochemical data from the eastern part of the Yukon-Tanana Upland region, Alaska, USA 02 - Source Data for GIS-based Identification of Areas that have Resource Potential for Sediment-hosted Pb-Zn Deposits in Alaska 01 - Results for GIS-based Identification of Areas that have Resource Potential for Sediment-hosted Pb-Zn Deposits in Alaska Data and results for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska 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 [Geological Data] Basin-hosted (CD/SEDEX and MVT) Zn-Pb deposits and prospects for the United States, Canada, and Australia [Geological Data] Geology shapefiles for the United States and Australia 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 [Geological Data] Gridded geology shapefiles for the United States, Canada, and Australia [Geological Data] Shapefiles of ancient and modern passive margins for the world