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SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay SPARROW model input datasets and predictions for predicting near-term effects of climate change on nitrogen transport to Chesapeake Bay
This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of climate change on in-stream nitrogen (TN) loads in the Chesapeake Bay watershed between 1995 and 2025. Model scenarios were run using data for nitrogen sources and landscape characteristics from...
SPARROW model input datasets and predictions of total dissolved loads in streams of the Upper Colorado River Basin watershed SPARROW model input datasets and predictions of total dissolved loads in streams of the Upper Colorado River Basin watershed
This data release contains bootstrap values of mean-annual total dissolved solids (TDS) loads predicted by a SPARROW model for individual stream reaches in the Upper Colorado River Basin watershed in the predict.txt file. Also included are the input variables required to execute the model, including dissolved solids sources, landscape characteristics, and calibration data from water...
Spatial and Temporal Data on Hydraulic Fracturing Fluid Types and Amounts Injected into Oil and Gas Wells Across the U.S., 2015-2019 Spatial and Temporal Data on Hydraulic Fracturing Fluid Types and Amounts Injected into Oil and Gas Wells Across the U.S., 2015-2019
Hydraulic fracturing is a treatment method used to stimulate production from oil and gas wells. Hydraulic fracturing involves injection of treatment fluids mixed with propping agents under high pressure into perforated portions of the wellbore. This method causes the reservoir rocks to fracture and the hydraulic fracturing fluids and propping agents to enter the fractures. Subsequently...
Spatial and temporal surveys of salmon eDNA in Seattle urban creeks, Washington, 2018 - 2020 Spatial and temporal surveys of salmon eDNA in Seattle urban creeks, Washington, 2018 - 2020
The data support a study that surveyed the spatial and temporal distribution of salmon eDNA in Seattle urban creeks, Washington, 2018 - 2020. The metadata represent qPCR quantification cycle (Cq) values for Chinook salmon, coho salmon, and coastal cutthroat trout assays performed on water samples collected on specific days at specific sites on Thornton Creek, Taylor Creek, and Mapes...
Spatial and temporal variability of surface and bottom summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 4.0, April 2026) Spatial and temporal variability of surface and bottom summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 4.0, April 2026)
The water temperature data were collected in summer 2021, 2023, 2024, and 2025. Continuously recording temperature loggers were deployed at the confluences of Indian Creek and Duncan Springs in the Pend Oreille River. Loggers were deployed near the substratum and near the surface of the water column. This data release supersedes Mejia, F.H., Torgersen, C.E., Berntsen, E.K., and Johnsen...
Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream...
Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022)
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream...
Spatial data associated with tungsten skarn resource assessment of the Northern Rocky Mountains, Montana and Idaho Spatial data associated with tungsten skarn resource assessment of the Northern Rocky Mountains, Montana and Idaho
A mineral resource assessment was performed by the U.S. Geological Survey (USGS) to assess the potential of undiscovered skarn-hosted tungsten resources in the Northern Rocky Mountain region of eastern Idaho and western Montana. This region has seen moderate tungsten trioxide (WO3) production in the past from a variety of mineralization styles including skarn, vein and replacement, and...
Spatial data from An Inventory of U.S. Geological Survey Three-Dimensional Geologic Models, Volume 1, 2004–2022 Spatial data from An Inventory of U.S. Geological Survey Three-Dimensional Geologic Models, Volume 1, 2004–2022
Within the U.S. Geological Survey (USGS), three-dimensional (3D) geologic models are created as part of geologic framework studies, to support energy, minerals, or water resource assessments, and to inform geologic hazard assessments. Such models are often used within the organization as digital input into process and predictive models. 3D geological modeling typically supports research...
Spatial data set of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017 and 2015 to 2017 Spatial data set of mapped water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017 and 2015 to 2017
The High Plains aquifer underlies 111.8 million acres (about 175,000 square miles) in parts of eight States—Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area (about 1950). This data release contains the...
Spatial Database of Known and Potential Cienegas in the Greater Madrean Archipelago Ecoregion Spatial Database of Known and Potential Cienegas in the Greater Madrean Archipelago Ecoregion
This dataset provides location information and some limited attributes of known and potential cienegas in the Madrean Archipelago ecoregion and closely surrounding area. This was created using point data and information provided by Dean Hendrickson and Thomas Minckley, combined with potential locations derived from analysis of classified raster land cover images and other specialized...
Spatial Hydro-Ecological Decision System Summarized PRISM 30-year Normal Precipitation and Temperature Data for SHEDS Region 2 Spatial Hydro-Ecological Decision System Summarized PRISM 30-year Normal Precipitation and Temperature Data for SHEDS Region 2
This data release is a summarization within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework of the Oregon State University PRISM Climate Group 30-year normal 800 meter resolution monthly, minimum and maximum temperature data and monthly precipitation data between 1991 and 2020. The output is a table consisting of the summarized values of these continuous variables for...