Data
Data produced by staff of the Geology, Minerals, Energy, and Geophysics Science Center
Filter Total Items: 193
Biogeochemical data of water, sediments, periphyton, and macroinvertebrates collected from springs in and near Grand Canyon National Park, Arizona (ver. 4.0, October 2022)
The U.S. Geological Survey is studying uranium and associated trace element bioaccumulation in aquatic invertebrates across a gradient of dissolved uranium concentrations in spring outflow pools and creeks in the Grand Canyon and adjacent watershed. This data release makes available data from sampling campaigns in April 2016, April 2017, and in April 2019. Data collected include: (1) major ion, tr
Isotopic ratios and element concentrations of U-Pb and Sm-Nd for scheelite petrochronology
Instrument, standard, and sample data from application of in situ laser ablation-inductively coupled plasma-mass spectrometry (LA-ICPMS) dating of scheelite in thin section, and sample data from isotope dilution thermal ionization mass spectrometry (ID-TIMS) scheelite dating are in this data release. Fractionation factor and ratio data in between NIST glass and natural scheelite as well as isotope
Repeat Magnetotelluric Transfer Functions from the 2012 Eruption of Tongariro, New Zealand
This dataset consists of 16 repeated magnetotelluric (MT) stations collected on Mount Tongariro, New Zealand, before (2009) and after (2013) the 2012 eruption. The data were collected in same locations with similiar instruments. Preeruption and posteruption electromagnetic magnetotelluric measurements determine variation in subsurface electrical properties resulting from changes in magmatic system
Digital Data for the Preliminary Bedrock Geologic Map of the Blythe 30' x 60' Quadrangle, California and Arizona
This Geologic Map Schema (GeMS) database contains all the geologic map information used to publish the Preliminary Bedrock Geologic Map of the Blythe 30' x 60' Quadrangle, California and Arizona, U.S. Geological Survey Open-File Report 2021-1097. The Blythe 30' x 60' quadrangle in southeastern California and southwestern Arizona displays complex geology that includes Mesozoic contractional deforma
Digital Terrain Model to Support Modeling of Lahars Originating on the West Side of Mount Rainier, Washington
This digital elevation model contains ground surface elevations for the valleys of rivers draining the west side of Mount Rainier, Washington. Elevations are mostly from the 1/9th arc-second (approximately 3 meter) resolution U.S. Geological Survey National Elevation Dataset (NED). The NED data were projected to the Universal Transverse Mercator Zone 10 coordinate system and mosaicked to form a si
Thin section images of hand samples from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota
This dataset includes photographic images of thin sections created from hand samples collected from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota, along with a shapefile representing the locations of the samples. The samples were collected in order to define copper-nickel-platinum-group element resources associated with the Crocodile Lake and Cucumber Lake Intrusions i
Thin section images of drill core and hand samples from the South Kawishiwi Intrusion, Duluth Complex, Minnesota
This dataset includes photographic images of thin sections created from hand samples and drill core sourced from the South Kawishiwi Intrusion, Duluth Complex, Minnesota, along with two shapefiles representing the locations of the samples and drill hole collars. The samples were collected and core was drilled in order to define copper-nickel-platinum-group element resources associated with the Sou
Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020
This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2 horizontal orth
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Heat Flow Data
This package contains a map surface that depicts the estimated spatial variation of conductive heat flow (mW/m?) in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). It was generated using well locations that had an estimated heat flow value from a measured thermal gradient and thermal conductivity, mainly using data from Southern Methodist Universit
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Slip and Dilation Tendency Data
This package contains data in a portion of northern Nevada, the extent of the ?Nevada Machine Learning Project? (DE-EE0008762). Slip tendency (TS) and dilation tendency (TD) were calculated for the all the faults in the Nevada ML study area. TS is the ratio between the shear components of the stress tensor and the normal components of the stress tensor acting on a fault plane. TD is the ratio of a
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics, Heat Flow, Slip and Dilation Tendency
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevad
USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics Data
This package contains gravity and magnetics data and products generated for the Nevada Machine Learning (NVML) project (DE-FOA-0001956). Data products contained in this release consist of grids and vector data. Grids include: primary anomaly maps (isostatic and PSG), match-filtered maps, horizontal gradient (HG) maps, confidence maps, and maps showing density of specific key structural features. T