Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021

• Main Authors: Case, George N, Graham, Garth E, Marsh, Erin, Taylor, Ryan D, Green, Carlin J, Brown II, Philip J, Labay, Keith
• Format: Dataset
• Language: unknown
• Published: U.S. Geological Survey 2021
• Subjects: Earth science , Solid earth , Rocks/minerals/crystals , Minerals , Mineral vertical/geographic distribution , Geospatial analysis , Metallic mineral resources , Natural resource assessment , Tungsten , Critical minerals; Yukon; Alaska
• Online Access: https://dx.doi.org/10.5066/p9tdkqe4; https://alaska.usgs.gov/products/data.php?dataid=414

This data release supports the paper titled, "Tungsten skarn potential of the Yukon-Tanana Uplands, Eastern Alaska, USA-A mineral resource assessment", published via open-access license in the Journal of Geochemical Exploration and available at: https://doi.org/10.1016/j.gexplo.2020.106700. The data release includes GIS data that map potential for tungsten skarn mineralization in permissive tracts in the Yukon-Tanana Uplands, Eastern Alaska, along with tables listing keywords and procedures used to produce the permissive tracts and score them for mineral potential. Supplementary Data part A lists keywords used to extract permissive rock types from the Geologic Map of Alaska (Wilson et al., 2015) to generate the permissive tract for tungsten skarn. Supplementary Data part B describes the tract polishing procedures. Supplementary Data part C lists the parameters for scoring tungsten skarn mineralization potential within the permissive tract features. The GIS data are encapsulated in a file geodatabase called AK_Wskarn_tract.gdb and are also available in the shapefile and KML formats. The geodatabase contains three datasets. The polygon feature class "primary_attributes" contains the scored tungsten skarn permissive tract subdivided by National Hydrography Dataset HUC12 drainages. A related table, "qualitative_assessment" contains detailed scoring information for each feature. The point feature class "mineral_sites_ranked" contains W-bearing mineral sites pulled from the Alaska Resource Data File with additional fields added for this study. The GIS data folder also includes the Python script used to score potential. The datasets and methods are described in detail in the accompanying paper.