The U.S. Geological Survey, in collaboration with the Department of Energy, University of Montana, Northern Arapaho Tribe, and Liverpool John Moores University, is studying the interaction of a contaminated groundwater plume enriched in uranium and other trace elements with water, sediment, and biota along a 3 km reach of the Little Wind River in central Wyoming. The source of the contaminants is from a reclaimed uranium mill site near Riverton, Wyoming. This Data Release makes available data collected from June to September, 2016 and August to September, 2017. Data collected during these time periods include: (1) radon, major-ion, and trace-element concentrations in surface-water, groundwater, and pore-water samples; (2) environmental tracers in groundwater and surface-water samples; (3) seepage rates of shallow groundwater into the Little Wind River; (4) streambed temperature; (5) distribution of uranium in bed sediment, macroalgae, and aquatic insect taxa; (6) river discharge at three sites along the study reach, (7) major-ion and trace-element concentrations in shallow sediment cores collected from the streambed; (8) periphyton biomass accrual on ceramic plates during a 2-week deployment period; and (9) uranium and molybdenum concentration in periphyton samples collected from sites within the study reach.

This data release contains geophysical data collected at the Little Wind River site near Riverton, Wyoming in 2015 and 2017. The dataset contains:[1] Fiber Optic Distributed Temperature Sensing data (FO-DTS, August-September 2015) collected in the water along the river bank, [2] Electrical Resistivity Tomography data (ERT, August 2017) collected on land near the river bank, and [3] Frequency domain Electromagnetic Induction (EMI, August 2017) data collected along the river and more extensively throughout the study region. Data for each of these methods can be found in the child items linked below.

This data release contains geophysical data collected at the Little Wind River site near Riverton, Wyoming in 2015 and 2017. The dataset contains:[1] Fiber Optic Distributed Temperature Sensing data (FO-DTS, August-September 2015) collected in the water along the river bank, [2] Electrical Resistivity Tomography data (ERT, August 2017) collected on land near the river bank, and [3] Frequency domain Electromagnetic Induction (EMI, August 2017) data collected along the river and more extensively throughout the study region. Data for each of these methods can be found in the child items linked below.

Tables of U- and Th-isotopic data used to calculate uranium-series age estimates and initial 234U/238U activity ratios as well as 87Sr/86Sr, δ13C, and δ18O for samples of phreatic speleothems from Wind Cave National Park and U- and Sr-isotopic compositions of waters from the southern Black Hills of South Dakota, USA

The extraction of unconventional oil and gas (UOG) resources often produces highly saline waste waters, which can be released to the river corridor environment during spills and pipe leakage. In North Dakota, USA more than 8,000 spills were recorded from 2008-2015, and more than half of those spills were related to pipelines. Data collected for this study were related to UOG wastewater leakage from a pipeline into a creek in the Williston Basin, North Dakota discovered on the January 6th, 2015. Although the spill was followed by extensive remediation efforts, we conducted geophysical surveys in June 2017 to assess the potential for waste water retention along the Blacktail Creek corridor as part of a larger evaluation of the post-spill period. This public data release is divided into (2) child items, one that contains and describes frequency domain electromagnetic induction (EMI) data, and another that contains electrical resistivity tomography (ERT) data. Both geophysical methods are highly sensitive to shallow saline groundwater.

This dataset contains environmental tracer data from surface water and groundwater samples collected by the U.S. Geological Survey in Redwell Basin, an alpine watershed in the Elk Mountains near the town of Crested Butte, Colorado. The basin is underlain by interbedded shale and sandstone that have been variably hydrothermally altered and silicified by local magmatic intrusions. Samples were collected from 2017 to 2019 from bedrock monitoring wells completed at multiple depths, shallow hand-installed piezometers and mini boreholes, springs, mine adits, and streams. The tracer data include stable isotopes of water (oxygen-18 and deuterium), tritium, dissolved noble gases (He, Ne, Ar, Kr, Xe, and helium-3/helium-4 ratio), sulfur hexafluoride, and other dissolved atmospheric gases.

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were also applied to the visual imagery to derive time-specific digital surface models (DSM). Thermal infrared still images were collected in jpg and radiometric tiff formats, while multispectral data were collected in tif format. Although not done yet here, multispectral and thermal data can be compiled into orthomosaics and DSMs in a similar manner to visible light imagery.

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were also applied to the visual imagery to derive time-specific digital surface models (DSM). Thermal infrared still images were collected in jpg and radiometric tiff formats, while multispectral data were collected in tif format. Although not done yet here, multispectral and thermal data can be compiled into orthomosaics and DSMs in a similar manner to visible light imagery.

This data release consists of 1,984 line-kilometers of airborne electromagnetic (AEM), magnetic data and radiometric data collected from October to November 2017 in the upper East River and surrounding watersheds in central Colorado. The U.S. Geological Survey contracted Geotech Ltd. to acquire these data as part of regional investigations into the geologic structure and hydrologic framework of the area. The AEM data have been inverted to produce a series of regional cross-sections that constrain the electrical properties of the subsurface to a depth of ~500m. Data were acquired using the VTEM ET time-domain helicopter-borne electromagnetic system along flight lines that cross important geological structures over a 483 square kilometer area. In addition to magnetic and radiometric data, this data release includes minimally processed AEM data, processed AEM data used in the development of resistivity and induced polarization (IP) models, and laterally constrained inverse models for resistivity and IP parameters along all flight lines. Data that intersected cultural infrastructure have been removed from the processed AEM data prior to inversion.

This data release consists of 1,984 line-kilometers of airborne electromagnetic (AEM), magnetic data and radiometric data collected from October to November 2017 in the upper East River and surrounding watersheds in central Colorado. The U.S. Geological Survey contracted Geotech Ltd. to acquire these data as part of regional investigations into the geologic structure and hydrologic framework of the area. The AEM data have been inverted to produce a series of regional cross-sections that constrain the electrical properties of the subsurface to a depth of ~500m. Data were acquired using the VTEM ET time-domain helicopter-borne electromagnetic system along flight lines that cross important geological structures over a 483 square kilometer area. In addition to magnetic and radiometric data, this data release includes minimally processed AEM data, processed AEM data used in the development of resistivity and induced polarization (IP) models, and laterally constrained inverse models for resistivity and IP parameters along all flight lines. Data that intersected cultural infrastructure have been removed from the processed AEM data prior to inversion. The data provided in this section include laterally-constrained inverted resistivity models and plotted depth sections along all flight lines. Digital data are described in the data dictionary and additional details regarding data inversion are described in the metadata processing steps.