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This dataset includes gravity observations collected on the Coconino Plateau, Arizona, from 2015 to 2019 and reductions that were used to arrive at the gravity residual reported in the associated publication (Wildermuth, XXXX). Relative-gravity surveys were carried out using ZLS Burris relative-gravity meter. Absolute gravity values were taken from the closest NGS stations and relative-gravity differences were combined with nearby absolute gravity values using a least-squared network adjustment, as implemented in the software Gravnet (Hwang, C., Wang, C., Lee, L., 2002. Adjustment of relative gravity measurements using weighted and datum-free constraints. Comput. Geosci. 28, 1005–1015). Additional information about...
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Benthic diatom assemblages are known to be indicative of water quality but have yet to be widely adopted in biological assessments in the United States due to several limitations. Our goal was to address some of these limitations by developing regional multi-metric indices (MMIs) that are robust to inter-laboratory taxonomic inconsistency, adjusted for natural covariates, and sensitive to a wide range of anthropogenic stressors. We aggregated bioassessment data from two national-scale federal programs and used a data-driven analysis in which all-possible combinations of 2-7 metrics were compared for three measures of performance. The datasets in this release support the Carlisle, et al. 2022 report cited herein....
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A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018. All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information,...
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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 network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please...
This dataset describes survey data collected for the Bureau of Reclamation (Reclamation), the agency in charge of regulating Colorado River water control operations impounding the Lake Powell reservoir. Additional intent of the collected data was to assure consistencies among gaging elevations at Glen Canyon Dam near Page, Arizona as well as verification and alignment of a recently published topobathymetric digital elevation model for Lake Powell. Glen Canyon Dam is a concrete arch-gravity dam on the Colorado River in northern Arizona and is the second largest man-made reservoir in the United States. The location was chosen to survey due to uncertainty in the local datum used by the Reclamation as well as uncertainties...
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The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater...
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In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers...
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Note: This data release has been revised. Find version 2.0 here: https://doi.org/10.5066/F75H7FH3. Groundwater withdrawal estimates from 1913-2010 for the Death Valley regional groundwater flow system (DVRFS) are compiled in a Microsoft® Access database. This database updates two previously published databases (Moreo and others, 2003; Moreo and Justet, 2008). A total of about 38,000 acre-feet of groundwater was withdrawn from the DVRFS in 2010, of which 47 percent was used for irrigation, 22 percent for domestic, and 31 percent for public supply, commercial, and mining activities. The updated database was compiled to support ongoing efforts to model groundwater flow in the DVRFS. References cited: Moreo, M.T.,...
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Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From these recordings, we derived resonance frequencies using the GRILLA software (MOHO, S.R.L.), and then inferred potential regolith thicknesses based on likely shear wave velocities, Vs, intrinsic to the underlying sediment. Three potential shear wave velocities (Vs = 300m/s, 337m/s, 362 m/s) were considered for Farmington River watershed...
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We used spatial data from previously mapped preferential groundwater discharges throughout the Farmington River watershed in Connecticut and Massachusetts (https://doi.org/10.5066/P915E8JY) to guide water sample collection at known locations of groundwater discharging to surface water. In 2017 and 2019 - 2021, samples were collected during general river baseflow conditions (July – November, <30.9 cms mean daily discharge (USGS gage 01189995, statistics 2010-2022) when the riverbank discharge points were exposed. We collected a suite of dissolved constituents and stable isotopes of water directly in the shallow saturated sediments of active points of discharge, and coincident stream chemical samples were also collected...
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During the spring and summer of 2022, the U.S. Geological Survey collected water-quality samples for nutrient analysis at 45 stations across the state of Connecticut and adjacent areas of New York and Rhode Island to better understand the groundwater discharge component of nitrogen loading to the Long Island Sound. The targeted stations were located in small drainage basins (less than 50 square kilometers) in the southern portion of the Long Island Sound watershed. Sites were selected randomly from groups based on expected drivers or controls on baseflow nitrogen loads. Factors used in the grouping included four metrics calculated for the upstream watershed: percent impervious cover, septic system density, percent...
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These data are chemical analyses of discrete samples of groundwater, stream base flow, and springs collected to support a U.S. Geological Survey study to estimate the timing and source of recharge to the basalt groundwater system in the Umatilla River basin, Oregon. Categories of data include: (1) site information (2) field measurements, (3) tracers of groundwater age and source, and (4) dissolved noble gases. These data were collected during August 26, 2014 – September 13, 2022. Data are in .csv file format.
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
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Water surface elevations within seven Willamette River off-channel features (OCF; alcoves and side channels) were measured using submerged pressure transducers. Transducers were installed from late May through mid-October, 2016, when discharge of the Willamette River was between approximately 5,500 and 45,000 cubic feet per second at Salem, Oregon (USGS gage 14191000) and 3,500 to 17,500 cubic feet per second at Harrisburg, Oregon (USGS gage 14166000). Pressure transducer sensor depth was measured at all seven sites. For five of the sites, pressure transducer sensor depths were converted to water surface elevations by surveying the water surface at each transducer with a real-time kinematic global positioning system...
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The U.S. Geological Survey obtained measurements of channel geometry, flow velocity, and river discharge from five rivers in Alaska September 18–20, 2016, to support research on remote sensing of river discharge. The streamflow data were acquired from the Knik, Matanuska, Chena, and Salcha Rivers and Montana Creek using TeleDyne RD Instruments Acoustic Doppler Current Profilers (ADCPs), including the RioPro, StreamPro, and RiverRay models. The original *.mmt and *.pd0 format files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various...
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The occurrence of metals, such as lead and copper, in household drinking supplies can often be a result of the corrosion of pipes and joints in water distribution systems. One measure of the potential for water to cause corrosion is the Langelier Saturation Index (LSI) (Langelier, 1936). The LSI is a measure of the potential for water to deposit a mineral layer (scale) within a water distribution system that can inhibit the corrosion of pipes and joints. Negative values of LSI suggest mineral deposition is not likely to occur while positive values indicate conditions favorable to mineral deposition. Negative values of LSI might be indicative of conditions that lead to elevated concentrations of metals, such as lead...
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This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) trained and tested as part of the journal article. The dataset contains the estimated probabilities for each of these models when applied to a training and test dataset.
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This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171. Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples. Appendix 2 contains all the chemical, biological, and physical results for water samples collected in July and August of 2012. Appendix 3 contains all the chemical, biological, and physical results for water samples collected from March 2013 to February 2014. Data are included for discrete samples...
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This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...
map background search result map search result map Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Langelier Saturation Indices Computed for U.S. Groundwater, 1991-2015; Characteristic Values for States Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 ADCP data from rivers in Alaska, September 18–20, 2016 Water surface elevations recorded by submerged water level loggers in off-channel features of the middle and upper Willamette River, Oregon, Summer, 2016 Update to the groundwater withdrawals database for the Death Valley regional groundwater flow system, Nevada and California, 1913-2010 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Survey Data Collection for the Bureau of Reclamation at Glen Canyon Dam near Page, Arizona, November 2020 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Data from "Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, North-Central Arizona." Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA Biogeochemical and source characteristics of preferential groundwater discharge in the Farmington River watershed (Connecticut and Massachusetts, 2017 - 2021) Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA Data from "Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, North-Central Arizona." (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Survey Data Collection for the Bureau of Reclamation at Glen Canyon Dam near Page, Arizona, November 2020 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Update to the groundwater withdrawals database for the Death Valley regional groundwater flow system, Nevada and California, 1913-2010 ADCP data from rivers in Alaska, September 18–20, 2016 Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States Langelier Saturation Indices Computed for U.S. Groundwater, 1991-2015; Characteristic Values for States Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0