Documentation outlining characteristics of field data samples taken in the Ogden quadrangle.

Data gathered at stream sediment sites in the Ogden quadrangle, including applicable water chemistry measurements (e.g., pH, conductivity, alkalinity) and elemental analyses.

Data gathered at well water sites in the Ogden quadrangle, including applicable water chemistry measurements (e.g., pH, conductivity, alkalinity), physical measurements (e.g., temperature, well description, scintillometer readings), and elemental analyses.

Photograph used for a newspaper owned by the Oklahoma Publishing Company. Caption: "Interior Secretary James Watt zipped around wyoming's Yellowstone National Park during the weekend on a sonwmobile seeing how the park operates during cold weather."

Plates 1 and 2 documenting the locations of 287 water samples and 622 soil samples collected from the Driggs quadrangle in Wyoming and Idaho.

Documentation outlining characteristics of field data samples taken in the Rawlins quadrangle.

Data gathered at stream sediment sites in the Rawlins quadrangle, including applicable water chemistry measurements (e.g., pH, conductivity, alkalinity) and elemental analyses.

Data gathered at well water sites in the Rawlins quadrangle, including applicable water chemistry measurements (e.g., pH, conductivity, alkalinity), physical measurements (e.g., temperature, well description, scintillometer readings), and elemental analyses.

A 5 x 7 sepia print showing the Union Pacific 3985, 4-6-6-4 "Challenger", on a freight train near Speer, WY, 13 cars, 25 mph. [see also color print 2008.008.7109-7115]

A 5 x 7 color photo print showing the Union Pacific 8444, 2-8-4, and 3985, 4-6-6-4 "Challenger", double-heading on a westbound passenger train en route to Sacramento. CA, stopped in Laramie, WY.

The report provides an evaluation of the water resources in a Wyoming Creek basin before the start of large-scale coal mining. It contains maps, graphs, and tables.

From deposit: Since 1975 a cooperative effort between the United States Department of Energy, United States Geological Survey, Geological Survey of Wyoming, the Geology Department, University of Wyoming, and various industry groups has resulted in the discovery of a series of uraniumthorium-and gold-bearing conglomerates in Late Archean and Early Proterozoic metasedimentary rocks of southern Wyoming. The mineral deposits were found by applying the time and strata bound model for the origin of uranium-bearing quartz-pebble conglomerates to favorable rock types within a geologic terrane known from prior regional mapping.

From introduction: This volume is presented as a companion to Volume I: The Geology and Uranium Potential of Precambrian Conglomerates in the Medicine Bow Mountains and Sierra Madre of southeastern Wyoming; and to Volume 3: Uranium Assessment for Precambrian Pebble Conglomerates in Southeastern Wyoming. In Volume 1, we summarized the geologic setting and geologic and geochemical characteristics of uranium-bearing conglomerates in Precambrian metasedimentary rocks of southeastern Wyoming. Volume 3 is a geostatistical resource estimate of U and Th in quartz-pebble conglomerates. This volume contains supporting geochemical data, lithologic logs from 48 drill holes in Precambrian rocks of the Medicine Bow Mountains and Sierra Madre, and drill site geologic maps and cross-sections from most of the holes.

From introduction: The Geology Department of the University of Wyoming was asked to make a geostatistical assessment of the uranium endowment of these deposits as a part of the World Class core drilling operations of the Bendix Field Engineering Corporation. This study was to include (a) the development of optimum geostatistical methodology for assessing uranium endowment in areas of close drill control (1 mile or less centers) as well as in areas of distant drill control (5 mile centers or more), (.b) the implementation of this methodology in assessing the uranium resources of the pebble conglomerates in southeastern Wyoming, and (c) the determination of the overall geostatistical uncertainty of the resource estimates. In addition, methods were to be studied for projecting the assessments into new areas, including prediction of estimate uncertainty.