Digital analytical data from mineral resource assessments of national forest lands in Washington

Open-File Report 99-344-A
Prepared in cooperation with the U.S. Forest Service
By:  and 

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Abstract

Extensive reconnaissance assessments of the mineral resource potential of the Colville and Okanogan National Forests in northeastern Washington were conducted during 1979-1982 by a private consultant A.R. Grant, under contract with the U.S. Department of Agriculture, Forest Service. These forests occupy large parts of Pend Oreille, Stevens, Ferry, and Okanogan counties, and smaller parts of Whatcom, Skagit, and Chelan counties adjoining Okanogan County in the Cascades. Sampled terrain also included the Kaniksu National Forest in Pend Oreille County and one stream bed of the Kaniksu in adjacent Bonner County, Idaho. Two unpublished reports resulting from the assessments (Grant, 1982a,b) list a total of 3,927 analyses of gold, silver, copper, lead, zinc, molybdenum, tungsten, and uranium content of stream sediment and bedrock samples collected at widely dispersed sites in the three National Forests. This report makes this important body of work available in digital form on diskettes, to enhance manipulations with computer spreadsheets, geographic information systems (GIS), and digital spatial analyses. This will allow for utilization of data by modern day explorationists and by the general geodata user community.

Study Area

Publication type Report
Publication Subtype USGS Numbered Series
Title Digital analytical data from mineral resource assessments of national forest lands in Washington
Series title Open-File Report
Series number 99-344
Chapter A
DOI 10.3133/ofr99344A
Year Published 1999
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Geology, Minerals, Energy, and Geophysics Science Center
Description Report: PDF, 65 p.; Report: TXT; Readme; Metadata; Analytical Results
Country United States
State Washington
Other Geospatial Colville National Forest, Okanogan National Forest
Google Analytic Metrics Metrics page
Additional publication details