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The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16.
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This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
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Compressional- (P-) wave seismic refraction data were acquired in December 2018 and July 2019 along fourteen profiles within the spillway of Success Dam in Porterville, California. A new concrete ogee weir is planned for construction within the existing spillway, and the P-wave seismic velocity models will be used to inform further geotechnical investigations, including siting new geologic borings, and the advanced engineering design phases in terms of rock rippability and relative rock hardness/competency. Data acquisition, processing, and modeling were conducted collaboratively between the U.S. Geological Survey (USGS) and U.S. Army Corps of Engineers (USACE) Sacramento District. Data were acquired with Geometrics...
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This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-flow data, and urban streamgages.
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These data were compiled for a manuscript in which 1) we develop a water temperature model for the major river segments and tributaries of the Colorado River basin, including the Colorado, Green, Yampa, White, and San Juan rivers; 2) we link modeled water temperature to fish population data to predict the probability native and nonnative species will be common in the future in a warming climate; and 3) assess the degree to which dams create thermal discontinuity in summer in river segments across the western US. Per goal #1, we developed a water temperature model using data spanning 1985-2015 that predicts water temperature every 1 mile (1.6-km) in rivers both now and in the future due to the potential influence...
Tags: Aquatic Biology, Arizona, Arkansas River basin, Black Rocks, Colorado, All tags...
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Observed water temperatures from 1980-2019 were compiled for 2,332 lakes in the US. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources. This dataset is part of a larger data release of lake temperature model inputs and outputs for these same lakes...
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The Wetland Reserve Program (WRP) is a voluntary program administered by the NRCS. It provides technical and financial assistance to private landowners and Tribes to restore, protect, and enhance wetlands in exchange for retiring eligible land from agriculture. For a site to be a wetland eligible for restoration, it must be in a zone with sustained or frequent flooding for a period of 7 consecutive days on average at least once every 2 years (a value termed the 7MQ2). This study calculated the 7MQ2 flows for all the U.S. Geological Survey streamgages within the selected study reaches. These flows were related to the stage discharge tables for each streamgage and a corresponding elevation was determined. By use of...
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This dataset describes the hydrogeomorphic structure and lake-tributary mixing in three intermediate-sized Lake Michigan rivermouths: Ford River, Manitowoc River, and Pere Marquette River. Data were collected from May to October 2011. Water chemistry variables were measured with a multiparameter sonde along longitudinal, lateral, and vertical transects. Magnesium, boron, and stable water isotope concentrations were also determined from grab water samples at particular depths.
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The U.S. Geological Survey (USGS) is developing SPARROW models (SPAtially Related Regressions On Watershed Attributes) to assess the transport of contaminants (e.g., nutrients) through the Pacific drainages of the United States (the Columbia River basin; the coastal drainages of Washington, Oregon, and California; the Klamath River basin; the Central Valley of California, and the west slopes of the Sierra Nevada Mountains). SPARROW relates instream water quality measurements to spatially referenced characteristics of watersheds, including contaminant sources and the factors influencing terrestrial and aquatic transport. The number of people with on-site wastewater treatment (primarily septic tanks) is a potential...
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Natural cave passages penetrating a coastal aquifer in the Yucatan Peninsula (Mexico) were accessed to test the hypothesis that chemoclines associated with salinity gradients (haloclines) within the flooded cave networks of the karst subterranean estuary are sites of methane oxidation. Two field trips were carried out to the fully-submerged cave system located 6.6 km inland from the coastline in January 2015 and January 2016. Vertical chemical profiles across the water column haloclines were obtained using the OctoPiPi (OPP), a high-resolution water sampler built by the U.S. Geological Survey (USGS). The sampling efforts resulted in cm-scale profiles of major ions (e.g., chloride and sulfate), as well as concentrations...
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This data release includes characteristics of wetland catchments associated with U.S. Fish and Wildlife conservation easement lands located in the Prairie Pothole Region of North Dakota. Characteristics include wetland catchment areas, slope length, land use, soil mapping unit, and slope grades of representative soils. County and ecoregion also are included. Summary data pertaining to lateral setback distances, or drainage setbacks, also are presented by county and soil mapping unit for a range of subsurface drainage system characteristics (i.e., drain pipe depth and diameter). Additionally, calculated variables used for data analyses and presentation in the manuscript associated with this data release are included.
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Groundwater residence times were simulated for the major regional aquifers of the Northern Atlantic Coastal Plain aquifer system from New York to North Carolina using particle tracking in a regional groundwater flow model. Millions of particles were distributed throughout the aquifers of the North Atlantic Coastal Plain in a MODFLOW model with a volume-weighted algorithm, then tracked backwards using MODPATH6 (Pollock, 2012) until termination of their paths at their sources of origin, usually the simulated water table. Particles were tracked under simulated transient hydrologic conditions from the reference time of January 1, 2018 backwards to 1900, then under simulated steady-state conditions prior to 1900 until...
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The file "Chloride_specific_conductance_regression_model_forms_for_estimating_high-frequency_chloride_concentrations.csv" contains the regression equation forms for two types of regressions: 1) single linear (SLR) and 2) piecewise (or segmented; SEG) regression between specific conductance (SC) and chloride (Cl) concentrations for 56 USGS water-quality monitoring stations across the eastern United States, plus four regional regressions developed by pooling data for sites within a region (see Moore and others (in review) for more information). Some sites, and all regions, have both SLR and SEG models reported in this table. The analysis included in the Moore and others (in review) study used results from the SLR...
This data release contains data used to develop models and maps that estimate the probabilities of exceeding various thresholds of arsenic concentrations in private domestic wells throughout the conterminous United States. Three boosted regression tree (BRT) models were developed separately to estimate the probability of private well arsenic concentrations exceeding 1, 5, and 10 micrograms per liter (µg/L). A random forest (RF) model was developed to estimate the most probable arsenic concentration category (≤5, >5 to ≤10, or >10 µg/L). The models use arsenic concentration data from private domestic wells located throughout the conterminous United States and independent variables that are available as geospatial...
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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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A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.1 annual land cover products (1985–2019) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984–2018) to a reference sample of 24,971 randomly-selected Landsat resolution (30m x 30m) pixels. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Snow/Ice and Barren. Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by...
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Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.
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This data set includes the relative production scenarios for eight (8) grass species based on linear models from Epstein, et al. (1998). We selected two indicator species for each community: shortgrass prairie: blue grama (Bouteloua gracilis; BOGR) and buffalo grass (Bouteloua dactyloides; BODA); mixedgrass prairie: sideoats grama (Bouteloua curtipendula; BOCU) and little bluestem (Schizachyrium scoparium; SCSC); tallgrass prairie: big bluestem (Andropogon gerardii; ANGE) and Indiangrass (Sorghastrum nutans; SONU); and semiarid grasslands: black grama (Bouteloua eriopoda; BOER) and tobosagrass (Pleuraphis mutica; PLMU). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided...
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This dataset includes discrete water quality data and sensor data from 2009-2017 for Beaver Creek above Victoria Creek and West Twin Creek in Alaska.


map background search result map search result map Conservation easements in the Prairie Pothole Region of North Dakota: characteristics of wetland catchments and key factors for determination of drainage setback distances Water quality data for Beaver Creek above Victoria Creek and West Twin Creek, Alaska, 2009-2017 Population with On-Site Wastewater Treatment within the Pacific Drainages of the United States, 2010 Potential Wetland Extent Along Wildcat Creek Between USGS Gaging Stations 03333450 and 03334000 Lake Erie Tributaries: Nutrient and streamflow trend results Microbial Source Tracking Marker Concentrations in the Chattahoochee River National Recreation Area Watershed in 2015-2017, Georgia, USA Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains Velocity models and first break picks, Success Dam spillway seismic refraction survey, Porterville, California Chloride-specific conductance regression model forms for estimating high-frequency chloride concentrations Statistical summaries of simulated groundwater residence times for the 10 regional aquifers of the Northern Atlantic Coastal Plain aquifer system, at a 1 square-mile grid resolution Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Vertical chemical profiles collected across haloclines in the water column of the Ox Bel Ha cave network within the coastal aquifer of the Yucatan Peninsula in January 2015 and January 2016 Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Water temperature models, data and code for the Colorado, Green, San Juan, Yampa, and White rivers in the Colorado River basin Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Velocity models and first break picks, Success Dam spillway seismic refraction survey, Porterville, California Vertical chemical profiles collected across haloclines in the water column of the Ox Bel Ha cave network within the coastal aquifer of the Yucatan Peninsula in January 2015 and January 2016 Microbial Source Tracking Marker Concentrations in the Chattahoochee River National Recreation Area Watershed in 2015-2017, Georgia, USA Hydrogeochemical Mixing data from Lake Michigan Tributaries 2011 Water quality data for Beaver Creek above Victoria Creek and West Twin Creek, Alaska, 2009-2017 Lake Erie Tributaries: Nutrient and streamflow trend results Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 Conservation easements in the Prairie Pothole Region of North Dakota: characteristics of wetland catchments and key factors for determination of drainage setback distances Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Statistical summaries of simulated groundwater residence times for the 10 regional aquifers of the Northern Atlantic Coastal Plain aquifer system, at a 1 square-mile grid resolution Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains Water temperature models, data and code for the Colorado, Green, San Juan, Yampa, and White rivers in the Colorado River basin Chloride-specific conductance regression model forms for estimating high-frequency chloride concentrations Population with On-Site Wastewater Treatment within the Pacific Drainages of the United States, 2010 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0