pick_xwell: A program for interactive picking of crosswell seismic and radar data
Software for interactively picking crosswell seismic and radar data |
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check_picks_x: A program for checking the travel time picks of crosswell seismic and radar data
Software for checking the travel time picks of crosswell seismic and radar data |
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xwell_radar: A program for calculating crosswell radar traces for layered media
Computer program for calculating crosswell radar traces for layered media |
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FD_BH: A program for simulating electromagnetic waves from a borehole antenna
Software for simulating electromagnetic waves from a borehole antenna |
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Pick_Sw: A program for interactive picking of S-wave data, version 2.00
Software for interactively picking of S-wave data |
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seg2_edit: A program for editing and manipulating SEG-2 files
Scientific data management software |
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Field demonstrations of five geophysical methods that could be used to characterize deposits of alluvial aggregate
Data from seismic reflection and refraction, electromagnetic sounding, and resistivity profiling in a study area in Indiana. Exact location is not provided. |
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Computer programs for forward and inverse modeling of acoustic and electromagnetic data
Source code and executables for Windows 7 64-bit; these command-line applications are likely portable to Linux as well. Memory intensive code, uses multiple processors. |
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A modified procedure for mixture-model clustering of regional geochemical data
A modified procedure is proposed for mixture-model clustering of regional-scale geochemical data. The key modification is the robust principal component transformation of the isometric log-ratio transforms of the element concentrations. |
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First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States
This report summarizes the assembly of pertinent data, determination of its limits, analysis of its properties, and the relations among the different data types in preparation for future modeling. |
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Titanium concentrations in stream sediments from the Atlantic Coastal Plain of the southeastern U.S. (1975-1999)
Titanium concentrations of 3,457 stream sediments extracted from the previously published National Geochemical Survey dataset. Data are provided in shapefile and CSV formats. |
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Bayesian modeling of non-stationary, univariate, spatial data for the Earth sciences
Some Earth science data, such as geochemical measurements of element concentrations, are non-stationary—the mean and the standard deviation vary spatially. It is important to estimate the spatial variations in both statistics because such information is |
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Data for generating statistical maps of soil cobalt concentrations in the conterminous United States
Statistical characteristics of the chemical concentration of cobalt in the soil C horizon of the conterminous United States. Data are provided in CSV, shapefile, and GeoTIFF formats. |
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Data for generating statistical maps of soil lanthanum concentrations in the conterminous United States
Statistical characteristics of the chemical concentration of lanthanum in the soil C horizon of the conterminous United States. Data are provided in CSV, shapefile, and GeoTIFF formats. |
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Data for generating statistical maps of soil lithium concentrations in the conterminous United States
Statistical characteristics of the chemical concentration of lithium in the soil C horizon of the conterminous United States. Data are provided in CSV, shapefile, and GeoTIFF formats. |
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User guide to the bayesian modeling of non-stationary, univariate, spatial data using R language package BMNUS
Bayesian modeling of non-stationary, univariate, spatial data is performed using the R-language package BMNUS. A unique advantage of this package is that it can map the mean, standard deviation, quantiles, and probability of exceeding a specified value. T |
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Software for SIR 'Effect of Data Pooling on Predictions From the Three-Part Method for Quantitative Mineral Resource Assessment-An Investigation of a Previous U.S. Geological Survey Assessment'
The Three-Part Method for Quantitative Mineral Resource Assessment has been used by the USGS to predict mineral resources since at least 1975. These predictions use pooled data, and the effects of the pooling on the predictions is investigated and reported in the forthcoming USGS publication. The calculations and figures for this report are performed with software that will be permanently stored in the USGS software repository GitLab. |
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Geochemical data for Colorado soils-Results from the 2006 state-scale geochemical survey
Major and trace element concentration data for 960 sites, providing a baseline for the natural variation in soil geochemistry in Colorado. |
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Selected Data from Preliminary Report on the Timmins-Kirkland Lake Area Gold Deposits File
Data on gold deposits extracted from an existing publication (available only as an image) to enable analysis. The Ontario Geological Survey, Ministry of Northern Development and Mines, Ontario, Canada kindly granted permission to re-publish these data. These data are provided in CSV format. |
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Titanium mineral resources in heavy-mineral sands in the Atlantic coastal plain of the southeastern United States
This study examined titanium distribution in the Atlantic Coastal Plain of the southeastern United States; the titanium is found in heavy-mineral sands that include the minerals ilmenite (Fe<sup>2+</sup>TiO<sub>3</sub>), rutile (TiO<sub>2</sub>), or leuco |
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Bayesian modeling of NURE airborne radiometric data for the conterminous United States: predictions and grids
Estimates of potassium, equivalent uranium, and equivalent thorium for the conterminous United States derived from the USGS national airborne radiometric data compilation analyzed using a Bayesian hierarchical model to produce new grids for this area. Data are provided in CSV and GeoTIFF formats. |
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High-Frequency, Crosswell Radar Data Collected in a Laboratory Tank
Crosswell radar data were collected among three wells in a laboratory tank filled with dry sand. Embedded within the sand was a long plastic box, which was the target for the data collection. Two datasets were collected between each pair of wells, making |
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Coastal deposits of heavy mineral sands; Global significance and US resources
Ancient and modern coastal deposits of heavy mineral sands (HMS) are the principal source of several heavy industrial minerals, with mining and processing operations on every continent except Antarctica. For example, HMS deposits are the main source of ti |
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Geochemical and mineral maps from soils of the conterminous United States: interactive web site
Interactive web site showing geochemical and mineralogical maps along with a histogram, boxplot, and empirical cumulative distribution function plot for each element or mineral whose data are provided in DS-801 |
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Geochemical and mineralogical maps for soils of the conterminous United States
Geochemical and mineralogical maps along with a histogram, boxplot, and empirical cumulative distribution function plot for each element or mineral whose data are provided in DS-801 |
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Geochemical and mineralogical maps, with interpretation, for soils of the conterminous United States
Between 2007 and 2013, the U.S. Geological Survey conducted a low-density (1 site per 1,600 square kilometers, 4,857 sites) geochemical and mineralogical survey of soils in the conterminous United States. The sampling protocol for the national-scale surve |
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