Steve Ludington, USGS, Scientist Emeriti vector digital data Mineral resource assessments provide a synthesis of available information about distribution of mineral deposits in the Earth's crust. A probabilistic mineral resource assessment of undiscovered resources in Mesozoic porphyry copper deposits in East Asia was done as part of a global mineral resource assessment (GMRAP). The purpose of the assessment was to (1) compile a database of known porphyry copper deposits and significant prospects, (2) delineate permissive areas (tracts) for undiscovered porphyry copper deposits at a scale of 1:1,000,000, (3) estimate numbers of undiscovered deposits within those permissive tracts, and (4) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in those undiscovered deposits. The study was conducted in part in cooperation with the China Geological Survey (CGS) between 2002 and 2010 using a three-part form of mineral resource assessment based on mineral deposit models (Singer, 1993). Delineation of permissive tracts primarily was based on distributions of mapped post-subduction igneous rocks. Using a GIS, map units were selected from digital geologic maps based on lithology and age to delineate 3 permissive tracts. Distributions of known deposits, prospects, aeromagnetic data, and exploration history were considered in conjunction with descriptive deposit models and grade and tonnage models to guide estimates. This shapefile contains the permissive tracts. Attributes include estimates of numbers of undiscovered porphyry copper deposits and estimates of mean expected resources associated with each tract. To delineate where undiscovered porphyry copper deposits may occur within the upper kilometer of the Earths crust. Created for Scientific Investigations Series Report 2010-5090-[x], which is part of the USGS assessment of undiscovered copper resources of the world. None planned 86.184315 141.902666 62.709236 15.847924 None porphyry copper permissive tract deposit prospect global mineral resource assessment None This spatial database is not meant to be used or displayed at any scale larger than 1:1,000,000 (for example, 1:500,000). USGS Steve Ludington Scientist Emeriti mailing and physical

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Menlo Park California 94025-3561 UNITED STATES 650-329-5371 650-329-5491 slud@usgs.gov Steve Ludington (principal author) delineated tracts and participated in estimation; Jane M. Hammarstrom and Gilpin R. Robinson Jr. participated in estimation of all 3 tracts. Dmitry Alexiev, Arthur A. Bookstrom, Thomas P. Frost, Thomas Light, Mark Mihalasky and Andre Panteleyev participated in the estimation tract 142pCu8509. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcGIS 10.0.4.4000 Vector GT-polygon composed of chains 3 Lambert Conformal Conic 15.0 65.0 95.0 30.0 0.0 0.0 coordinate pair 0.0001 0.0001 D WGS 1984 WGS 1984 6378137.0 298.257223563 EASIA_pCu_Tracts Permissive tracts for porphyry copper deposits, China and Vietnam GMRAP OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Tract_ID User-defined, unique identifier assigned to permissive tract. GMRAP Coded_ID Coded, unique identifier assigned to permissive tract. GMRAP Tract_name Informal name of permissive tract. GMRAP Unregcode Three digit UN code for the region that underlies most of the permissive tract. GMRAP Country Country(ies) in which the permissive tract is located. GMRAP Commodity Primary commodity being assessed. GMRAP Dep_type Name of the deposit type assessed. GMRAP GT_model Grade-tonnage model used for the undiscovered deposit estimate. GMRAP Geology Geologic feature assessed. GMRAP Age Age of the assessed geologic feature. GMRAP Asmt_date Year assessment was conducted. GMRAP Asmt_depth Maximum depth beneath the Earth's surface used for the assessment, in kilometers. GMRAP Est_levels The set of percentile (probability) levels at which undiscovered deposit estimates were made. GMRAP N90 Estimated number of deposits associated with the 90th percentile (90 percent chance of at least the indicated number of deposits). GMRAP N50 Estimated number of deposits associated with the 50th percentile (50 percent chance of at least the indicated number of deposits). GMRAP N10 Estimated number of deposits associated with the 10th percentile (10 percent chance of at least the indicated number of deposits). GMRAP N05 Estimated number of deposits associated with the 5th percentile (5 percent chance of at least the indicated number of deposits). GMRAP N01 Estimated number of deposits associated with the 1st percentile (1 percent chance of at least the indicated number of deposits). GMRAP N_expected Expected (mean) number of deposits. N_Expected = (0.233*N90) + (0.4*N50) + (0.225*N10) + (0.045*N05) + (0.03*N01) GMRAP s Standard deviation. s = 0.121 - (0.237*N90) - (0.093*N50) + (0.183*N10) + (0.073*N05) + (0.123*N01) GMRAP Cv_percent Coefficient of variance, in percent. Cv = (s/N_Expected) * 100 GMRAP N_known Number of known deposits in the tract. GMRAP N_total Total number of deposits. N_total = N_Expected + N_Known GMRAP Area_raw area raw GMRAP Area_km2 Area of permissive tract, in square kilometers. GMRAP DepDensity Deposit density (total number of deposits per square kilometer). DepDensity = N_total/Area_km2 GMRAP DepDen10E5 Deposit density per 100,000 square kilometers. DepDen10E5 = DepDensity*100,000 GMRAP Estimators Names of people on the estimation team. GMRAP Notes Miscellaneous notes or comments. GMRAP Shape_Length Length of feature in internal units. ESRI Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. U.S. Geological Survey Information Services mailing

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