Data and Results for GIS-Based Identification of Areas that have Resource Potential for Lode Gold in Alaska

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Karl, Susan M. (ORCID: 0000-0003-1559-7826)
Originator: Kreiner, Douglas C. (ORCID: 0000-0002-4405-1403)
Originator: Case, George N.D. (ORCID: 0000-0001-9826-5661)
Originator: Labay, Keith A. (ORCID: 0000-0002-6763-3190)
Originator: Shew, Nora B. (ORCID: 0000-0003-0025-7220)
Originator: Granitto, Matthew (ORCID: 0000-0003-3445-4863)
Originator: Wang, Bronwen (ORCID: 0000-0003-1044-2227)
Originator: Anderson, Eric D. (ORCID: 0000-0002-0138-6166)
Publication_Date: 20210624
Title:
Data and Results for GIS-Based Identification of Areas that have Resource Potential for Lode Gold in Alaska
Geospatial_Data_Presentation_Form: vector digital data and tabular digital data
Series_Information:
Series_Name:
Data and Results for GIS-Based Identification of Areas that have Resource Potential for Lode Gold in Alaska
Issue_Identification: ver 1.1, April 2023
Publication_Information:
Publication_Place: Denver, Colorado
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested Citation: Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., Anderson, E.D., 2021, Data and results for GIS-based identification of areas that have resource potential for lode gold in Alaska (ver 1.1, April 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9CAM3F9
Online_Linkage: https://doi.org/10.5066/P9CAM3F9
Larger_Work_Citation:
Citation_Information:
Originator: U.S. Geological Survey, Alaska Science Center
Publication_Date: 2018
Title:
GIS prospectivity analysis for critical minerals in ore-forming systems in Alaska
Geospatial_Data_Presentation_Form: website
Series_Information:
Series_Name: Alaska Science Portal
Issue_Identification: 466
Publication_Information:
Publication_Place: Anchorage, Alaska
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
This is a link to the broader USGS Alaska Science Center research project supported by these data. Users will find a description of the research project and links to associated reports, publications, and data products.
Online_Linkage: https://alaska.usgs.gov/portal/project.php?project_id=446
Description:
Abstract:
This data release contains the analytical results and evaluated source data files of geospatial analyses for identifying areas in Alaska that may be prospective for different types of lode gold deposits, including orogenic, reduced-intrusion-related, epithermal, and gold-bearing porphyry. The spatial analysis is based on queries of statewide source datasets of aeromagnetic surveys, 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. LodeGold_Results_gdb.zip - The analytical results in geodatabase polygon feature classes which contain the scores for each source dataset layer query, the accumulative score, and a designation for high, medium, or low potential and high, medium, or low certainty for a deposit type within the HUC. The data is described by FGDC metadata. An mxd file, and cartographic feature classes are provided for display of the results in ArcMap. An included README file describes the complete contents of the zip file.
2. LodeGold_Results_shape.zip - Copies of the results from the geodatabase are also provided in shapefile and CSV formats. The included README file describes the complete contents of the zip file.
3. LodeGold_SourceData_gdb.zip - The source datasets in geodatabase and geotiff format. Data layers include aeromagnetic surveys, AGDB3, ARDF, lithology from SIM3340, and HUC subwatersheds. The data is described by FGDC metadata. An mxd file and cartographic feature classes are provided for display of the source data in ArcMap. Also included are the python scripts used to perform the analyses. Users may modify the scripts to design their own analyses. The included README files describe the complete contents of the zip file and explain the usage of the scripts.
4. LodeGold_SourceData_shape.zip - Copies of the geodatabase source dataset derivatives from ARDF and lithology from SIM3340 created for this analysis are also provided in shapefile and CSV formats. The included README file describes the complete contents of the zip file.
Purpose:
The purpose of this spatial analysis is to examine and understand the distribution of different lode gold deposit types in Alaska. This GIS-based analysis uses published datasets of geochemistry, mineral resource data, aeromagnetic surveys, and geology to identify areas that may be prospective for this type of mineral deposit. The analysis also identifies areas with limited data, and could be used to highlight areas needing additional studies. A full description of the analysis process and results is published in the associated U.S. Geological Survey Open-File Report 2021-1041 https://doi.org/10.3133/ofr20211041.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: 172.0
East_Bounding_Coordinate: -129.8
North_Bounding_Coordinate: 72.0
South_Bounding_Coordinate: 52.0
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:60ad6405d34e4043c851021e
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: GeoscientificInformation
Theme:
Theme_Keyword_Thesaurus: NASA GCMD Earth Science Keyword Thesaurus
Theme_Keyword: Earth science
Theme_Keyword: Data analysis and visualization
Theme_Keyword: Geographic information systems
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: Geology
Theme:
Theme_Keyword_Thesaurus: GeoRef Thesaurus
Theme_Keyword: Lode gold deposits
Place:
Place_Keyword_Thesaurus: USGS Geographic Names Information System (GNIS)
Place_Keyword: Alaska
Access_Constraints: None
Use_Constraints:
It is requested that the authors and the USGS Alaska Science Center be cited for any subsequent publications that reference this dataset.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Alaska Science Center
Contact_Address:
Address_Type: Mailing and Physical
Address: 4210 University Drive
City: Anchorage
State_or_Province: Alaska
Postal_Code: 99508
Country: USA
Contact_Voice_Telephone: 907-786-7000
Contact_Electronic_Mail_Address: ascweb@usgs.gov
Cross_Reference:
Citation_Information:
Originator: Karl, S.M.
Originator: Kreiner, D.C.
Originator: Case, G.N.D.
Originator: Labay, K.A.
Originator: Shew, N.B.
Originator: Granitto, M.
Originator: Wang, B.
Originator: Anderson, E.D.
Publication_Date: 2021
Title:
GIS-Based Identification of Areas That Have Resource Potential for Lode Gold in Alaska (ver. 1.1, October 2021)
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 2021-1041
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., Anderson, E.D., 2021, GIS-based identification of areas that have resource potential for lode gold in Alaska (ver. 1.1, October 2021): U.S. Geological Survey Open-File Report 2021-1041. doi:10.3133/ofr20211041
Online_Linkage: https://doi.org/10.3133/ofr20211041
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
A formal accuracy assessment of the horizontal position information on this dataset has not been conducted.
Logical_Consistency_Report:
Each of the 12-digit subwatershed HUCs covering Alaska is scored and evaluated in this study, however the extent and quality of the source data evaluated in this analysis is irregular statewide.
Completeness_Report:
All source data files, scripts, and mxd files are provided so users may modify the parameters of the analysis for different results.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
A formal accuracy assessment of the horizontal position information on this dataset has not been conducted.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: DGGS Staff
Publication_Date: 2016
Title: Alaska Merged Geophysical Data Grids
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name:
Alaska Division of Geological and Geophysical Surveys Digital Data Series
Issue_Identification: 12
Publication_Information:
Publication_Place: online
Publisher: Alaska Division of Geological and Geophysical Surveys (DGGS)
Other_Citation_Details:
DGGS Staff, 2016, Alaska merged geophysical data grids: Alaska Division of Geological and Geophysical Surveys Digital Data Series 12, 3 p. https://doi.org/10.14509/29555 [Accessed date 2018]
Online_Linkage: https://doi.org/10.14509/29555
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1958
Ending_Date: 2014
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: DGGS Staff, 2016
Source_Contribution:
Aeromagnetic data compilation was used to help distinguish rock units containing varying amounts of magnetic minerals to characterize granitic rocks.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Karl, S.M.
Originator: Kreiner, D.C.
Originator: Case, G.N.D.
Originator: Labay, K.A.
Originator: Shew, N.B.
Originator: Granitto, M.
Originator: Wang, B.
Originator: Anderson, E.D.
Publication_Date: 2021
Title:
GIS-Based Identification of Areas that have Resource Potential for Lode Gold in Alaska
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 2021-1041
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., Anderson, E.D., 2021, GIS-based identification of areas that have resource potential for lode gold in Alaska (ver. 1.1, October 2021): U.S. Geological Survey Open-File Report 2021-1041. doi:10.3133/ofr20211041
Online_Linkage: https://doi.org/10.3133/ofr20211041
Type_of_Source_Media: publication
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: OFR2021-1041
Source_Contribution:
Contains the full description of the premise, analysis, and interpretation of the results for this GIS-based analysis of resource potential for lode gold deposits in Alaska.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2018
Title:
Alaska Resource Data File (ARDF), New and Revised Records (ver 1.7)
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: U.S. Geological Survey Open-File Report
Issue_Identification: 2008-1225
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
U.S. Geological Survey, 2018. Alaska Resource Data File (ARDF), New and Revised Records (ver 1.7, March 2018): U.S. Geological Survey Open-File Report 2008-1225 doi:10.5066/P96MMRFD
Online_Linkage: https://doi.org/10.5066/P96MMRFD
Type_of_Source_Media: publication
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2018
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: ARDF
Source_Contribution:
The Alaska Resource Data File, ARDF, is a database containing descriptive information about mines, prospects, and mineral occurrences in Alaska. ARDF is one the data layers used to analyze for lode gold resource potential in Alaska. A list of keywords was developed for each deposit model and searched for within each ARDF record. These keyword searches were weighted and scored, and then included in the analysis for lode gold resource potential in Alaska
Source_Information:
Source_Citation:
Citation_Information:
Originator: Granitto, M.
Originator: Wang, B.
Originator: Shew, N.B.
Originator: Karl, S.M.
Originator: Labay, K.A.
Originator: Werdon, M.B.
Originator: Seitz, S.S.
Originator: Hoppe, J.E.
Publication_Date: 2019
Title:
Alaska Geochemical Database version 3.0 (AGDB3) Including "Best Value" Data Compilations for Rock, Sediment, Soil, Mineral, and Concentrate Sample Media
Geospatial_Data_Presentation_Form: tabular digital data
Series_Information:
Series_Name: U.S. Geological Survey Data Series
Issue_Identification: 1117
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Granitto, M., Wang, B., Shew, N.B., Karl, S.M., Labay, K.A., Werdon, M.B., Seitz, S.S., and Hoppe, J.E., 2019, Alaska Geochemical Database Version 3.0 (AGDB3)—Including "best value" data compilations for rock, sediment, soil, mineral, and concentrate sample media: U.S. Geological Survey Data Series 1117, 33 p., https://doi.org/10.3133/ds1117
Online_Linkage: https://doi.org/10.3133/ds1117
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2019
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: AGDB3
Source_Contribution:
Geochemical analyses of stream sediment samples, whole rocks, and heavy-mineral concentrate samples were used to score areas for lode gold resource potential.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Granitto, M.
Originator: Wang, B.
Originator: Shew, N.B.
Originator: Karl, S.M.
Originator: Labay, K.A.
Originator: Werdon, M.B.
Originator: Seitz, S.S.
Originator: Hoppe, J.E.
Publication_Date: 2019
Title:
Alaska Geochemical Database version 3.0 (AGDB3) Including Best Value Data Compilations for Rock, Sediment, Soil, Mineral, and Concentrate Sample Media
Geospatial_Data_Presentation_Form: tabular digital data
Series_Information:
Series_Name: U.S. Geological Survey Data Release
Issue_Identification: 10.5066/P98NHRAD
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Granitto, M., Wang, B., Shew, N.B., Karl, S.M., Labay, K.A., Werdon, M.B., Seitz, S.S., Hoppe J.E., 2019, Alaska Geochemical Database Version 3.0 (AGDB3) including best value data compilations for rock, sediment, soil, mineral, and concentrate sample media: U.S. Geological Survey data release, https://doi.org/10.5066/P98NHRAD
Online_Linkage: https://doi.org/10.5066/P98NHRAD
Type_of_Source_Media: online database
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2019
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: AGDB3
Source_Contribution:
Geochemical analyses of stream sediment samples, whole rocks, and heavy-mineral concentrate samples were used to score areas for lode gold resource potential.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Wilson, F.H.
Originator: Hults, C.P.
Originator: Mull, C.G.
Originator: Karl, S.M.
Publication_Date: 2015
Title: Geologic map of Alaska
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: U.S. Geological Survey Scientific Investigations Map
Issue_Identification: 3340
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center
Other_Citation_Details:
Wilson, F.H., Hults, C.P., Mull, C.G., Karl, S.M., 2015. Geologic map of Alaska. U.S. Geological Survey Scientific Investigations Map 3340 https://doi.org/10.3133/sim3340
Online_Linkage: https://doi.org/10.3133/sim3340
Source_Scale_Denominator: 584000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2015
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: Wilson et al 2015
Source_Contribution:
All the lithology layers used in this analysis were derived from this geology dataset.
Source_Information:
Source_Citation:
Citation_Information:
Originator: The National Map
Publication_Date: Unknown
Title: Watershed Boundary Dataset
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: https://nhd.usgs.gov/wbd.html
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2015
Source_Currentness_Reference: access date
Source_Citation_Abbreviation: WBD
Source_Contribution:
The 12-digit HUC dataset was downloaded in 2015 and modified to provide a spatial template for analyzing mineral prospectivity in the state of Alaska.
Process_Step:
Process_Description:
ARDF records are maintained in a Filemaker Pro database. The records were exported to CSV file format, then converted to an ESRI point feature class. Tables containing keywords with weighting factors was created for the lode gold deposit model. Keywords were produced for the following ARDF fields: Alteration, Commodities_main, Commoditites_other, Deposit_model_number, Deposit_model, Gangue_minerals, Ore_minerals, Reserves, Production_notes, Site_type, Host_rock, Additional_Comments, and Geologic_description. A python script, ARDF_search.py, was created to score each ARDF record based on keywords and a weighting factor. This score was a component used for the prospectivity mapping of lode gold deposits.
Process_Date: 2018
Process_Step:
Process_Description:
Polygons were selected from the Alaska state geology database based on the lithology attributes and the relative abundance of the lithology in the geologic unit to create lithology data layers to aid in estimating the potential of various types of lode gold deposit models in Alaska. Once the polygons were selected, they were exported to a new dataset, and then the polygons were dissolved into single part features. All attributes from the original geology dataset were dropped. Each of these lithology layers is used for the prospectivity mapping of lode gold deposits.
Process_Date: 2018
Process_Step:
Process_Description:
Criteria for querying each of the different data layers was developed for each lode gold deposit model. These parameters are fully described in OFR2021-1041, and summarized in the included scoring tables. Customized ArcGIS Python scripts were created to evaluate each HUC for the pertinent values in each data layer (aeromagnetic, ARDF, geochemistry, and lithology), and then the different data layer scores were totaled. Based on the range and data distribution of the total HUC scores, a ranking of high, medium, low, or unknown potential was assigned. A certainty ranking was also assigned, based on the HUC's total score and the number of data layers available for scoring the HUC's potential.
Process_Date: 2018
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: NAD 1983 Alaska Albers (Meters)(EPSG:3338)
Albers_Conical_Equal_Area:
Standard_Parallel: 55
Standard_Parallel: 65
Longitude_of_Central_Meridian: -154
Latitude_of_Projection_Origin: 50
False_Easting: 0
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.1
Ordinate_Resolution: 0.1
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983 (NAD83)
Ellipsoid_Name: Geodetic Reference System 1980 (GRS80)
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257222101
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
File LodeGold_Results_gdb.zip contains GIS geodatabases of the results of the lode gold analysis and cartographic layers. FGDC metadata is included for each layer. Also included is an mxd file for viewing the scored HUCs in ArcMap. An included README file describes the complete contents of the zip file.
Entity_and_Attribute_Detail_Citation: Author defined
Overview_Description:
Entity_and_Attribute_Overview:
File LodeGold_Results_shape.zip contains shapefiles and CSV files of the results for the lode gold analysis. An included README file describes the complete contents of the zip file.
Entity_and_Attribute_Detail_Citation: Author defined
Overview_Description:
Entity_and_Attribute_Overview:
File LodeGold_SourceData_gdb.zip contains GIS geodatabases and Python scripts used to calculate the potential and certainty that lode gold deposits may be present in an area of Alaska. Geodatabases with Alaska HUCs, ARDF, geochemistry, lithology data, and cartographic base layers are included. FGDC metadata is included for each data layer. There are nine python scripts, one calculates ARDF keyword scores, and the others score for different lode gold deposit types. Also included is an mxd file for displaying the data in ArcMap. An included README file describes the complete contents of the zip file.
Entity_and_Attribute_Detail_Citation: Author defined
Overview_Description:
Entity_and_Attribute_Overview:
File LodeGold_SourceData_shape.zip contains shapefiles created from the feature classes and CSV files created from tables in LodeGold_SourceData_gdb.zip. Data layers which are direct representations of published data (ARDF and AGDB3) and the cartographic layers are not included. FGDC metadata is provided for each data layer. An included README file describes the complete contents of the zip file.
Entity_and_Attribute_Detail_Citation: Author defined
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: Mailing and Physical
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: Colorado
Postal_Code: 80225
Country: USA
Contact_Voice_Telephone: 1-888-ASK-USGS (1-888-275-8747)
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The U.S. Geological Survey, Alaska Science Center is the authoritative source and distributor of these data.
Distribution_Liability:
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data for other purposes or on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: zip
Format_Information_Content:
Data are distributed in Zip packages containing geospatial data (.shp, .gbd, .tif), tabular data (.csv), and Python scripts (.py) and FGDC metadata in XML and HTML formats.
File_Decompression_Technique:
Compression applied by the 7-Zip utility using the default compression level [5]. The Zip package can be decompressed and unpacked by open source or commercially available unzip tools.
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P9CAM3F9
Fees: None
Metadata_Reference_Information:
Metadata_Date: 20230410
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Alaska Science Center
Contact_Address:
Address_Type: Mailing and Physical
Address: 4210 University Drive
City: Anchorage
State_or_Province: Alaska
Postal_Code: 99508
Country: USA
Contact_Voice_Telephone: 907-786-7000
Contact_Electronic_Mail_Address: ascweb@usgs.gov
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata (CSDGM)
Metadata_Standard_Version: FGDC-STD-001-1998
Generated by mp version 2.9.52 on Tue Apr 11 23:21:46 2023