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A Soil-Water-Balance (SWB) model was developed to estimate annual recharge and evapotranspiration (ET) for Fauquier County, Virginia, for the period 1996 through 2015. The model was developed as part of a study to assess groundwater availability in the fractured-rock aquifers underlying Fauquier County. The model is documented in the associated report, U.S. Geological Survey (USGS) Scientific Investigations Report 2019-5056. The model was calibrated by comparing annual base-flow estimates from the hydrograph separation technique PART to annual recharge estimates from the SWB model for available years of streamflow record at two sites (01643700 and 01656000) within the model area. Selected SWB model parameters were...
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This data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The seepage dataset includes geospatial files of discharge measurement points and zero-flow observations along with vector lines delineating losing and gaining stream reaches. The dye tracing dataset consists of geospatial files of monitoring sites, dye injection location, and dye flow paths. Hydrologic systems in karst environments have a high degree of interconnectivity between surface water and groundwater systems. Because of this interconnectivity, activities which occur on the surface in karst environments have a direct impact on the water quality and quantity of karst...
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Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict manganese concentration and the probability of arsenic concentration exceeding a 10 µg/L threshold throughout the MRVA. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as hydrologic position and recharge), variables extracted from a MODFLOW-2005...
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The Alabama Department of Transportation (ALDOT) and the U.S. Geological Survey (USGS) studied several sites in the northern East Gulf Coastal Plain of Alabama to investigate effects of newly installed box culverts on the natural conditions of the streams they are traversing (Pugh and Gill, 2021). Data collection for the study spanned approximately 10 years and included before-, during-, and after-construction phases of box culvert installations at selected stream sites. The objectives of the project were to (1) assess the degree and extent of changes in geomorphic conditions, suspended-sediment concentrations, turbidity, and benthic macroinvertebrate populations at selected small streams following box culvert installation...
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This dataset utilized available water-quality data from the Mississippi Department of Environmental Quality and streamflow from the U.S. Geological Survey to estimate total nitrogen and total phosphorus loads and changes in loads from water years 2008 through 2018. Nutrient loads and changes in loads were estimated at 22 state ambient water-quality network sites, and were estimated using LOADEST regression models, Beale-Ratio Estimator, or WRTDS (Weighted Regression on Time, Discharge, and Season). The method selected is based on the evaluation of the flux-bias statistic and use of multiple graphical tools through EGRET to identify and characterize issues with particular models for each given dataset and is included...
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The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...
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This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and...
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This dataset was developed in partnership with the Tennessee Department of Environmental Conservation to determine the susceptibility of selected Tennessee reservoirs to eutrophication and potential harmful algal blooms. A R script, based on recursive partitioning and the model-based boosting routine, was used to generate regression trees that grouped Tennessee reservoirs into five endpoints along individual low-to-high gradients of Secchi depth and chlorophyll a concentrations (Green, et al, 2021; Heal and Green, 2021). Input data for these reservoirs were obtained from SPAtially Referenced Regression On Watershed (SPARROW) attributes models that estimate total phosphorus and total nitrogen loads in Tennessee water...
The Louisiana Department of Natural Resources’ (LaDNR) Strategic Online Natural Resources Information System (SONRIS) is a repository for recent (1930–present) well information that includes date of completion, well construction, geology, and water level. Well information is provided by the well drillers during the permitting process and is updated regularly by LaDNR. This data set consists of well records that were drilled into or through the Chicot aquifer and associated aquifer units (200-foot sand of Lake Charles area; 500-foot sand of Lake Charles area; 700-foot sand of Lake Charles area; Chicot aquifer system surficial confining unit; Chicot aquifer, lower sand unit; Chicot aquifer, shallow sand unit; Chicot...
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The Little Sequatchie River and Pryor Cove Creek watersheds are located in southern Tennessee and drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River. The Little Sequatchie River has the largest drainage area of any Sequatchie River tributary, with over 130 square miles in the topographic confines of the watershed. The hydrology of both watersheds has been largely altered by karst processes which have caused the majority of the streams to sink into the sub-surface, typically at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. A collaborative project between the U.S. Geological Survey and the U.S. Fish and Wildlife Service began...
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These datasets contain XYZ locations and other attributes of points from topographic bank surveys at six sites downstream from three dams on the Coosa River in Alabama, from October 2014 through July 2017. At the four sites downstream from H. Neely Henry and Walter Bouldin Dams, topographic data were collected using a motion-compensated LiDAR (MC-LiDAR) system mounted on a marine survey vessel equipped with an inertial navigation system (INS). Data were collected as the vessel traversed the river along a survey line near the site. Data collection software integrated and stored the range and angular measurements from the LiDAR, and the horizontal and vertical position and attitude data of the vessel from the INS...
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This data release contains habitat survey data (quantitative and qualitative) and biological assemblage data (periphyton, macroinvertebrate, and fish) collected among 8 stream sites within the Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians (MBCI). The MBCI is a Federally recognized Native American Tribe and the Pearl River Community, located near Philadelphia, Mississippi, is responsible for protecting the quality of surface waters from point and non-point sources of pollution and restoring waters considered impaired of their designated use. The MBCI cooperated with the U.S. Geological Survey (USGS) to conduct a baseline study at selected stream sites within and contiguous to...
This data release contains in situ biomass samples collected from cereal grain winter cover crop fields at the USDA-ARS Beltsville Agricultural Research Center, Beltsville, MD, in the winters of 2019-20 and 2020-21. It also contains corresponding spectral reflectance and radar data acquired from the Sentinel-2 and Sentinel-1 satellite platforms on dates proximal to the biomass collection. Data are contained in a single csv file titled "BARC_2019-2021_WCC_dataset"
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CE-QUAL-W2, a mechanistic, two-dimensional model of hydrodynamics and water quality (Portland State University, 2021), was developed and calibrated for J. Percy Priest Reservoir, Tennessee, a U.S. Army Corps of Engineers (USACE) reservoir on the Stones River, southeast of Nashville, Tennessee. The J. Percy Priest CE-QUAL-W2 model was simulated and calibrated using USACE data collected from January 2012 through May 2019. Constituent loads were developed for the model using the LOAD ESTimator (LOADEST; U.S. Geological Survey, 2016) and were based on water-quality data collected by the USACE from January 2005 through May 2019. The calibrated model will be used by the Tennessee Department of Environmental Conservation...
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Water samples were collected from six cave locations where Actinobacterial mats appeared to be plentiful. Community-level physiological capabilities were evaluated using Biolog-Ecolog plates inoculated with cave water dosed with 0 or 0.10 milligrams per liter (mg/L) of erythromycin. The data were transformed into average well color development (AWCD). The transformation is done by subtracting the background color development (blank controls) and then averaging the three color readings of the same treatment on the same Biolog EcoPlate. Each EcoPlate has three replicates of 31 different substrates (potential bacterial food) that the microbial community can potentially metabolize and thereby transform a clear dye into...
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Datasets are inputs and outputs of Aquaculture and Irrigation Water Use Model (AIWUM) 2.0. AIWUM 2.0 employs remote sensing data sets and machine learning utilizing Distributed Random Forests, an ensemble machine learning algorithm to estimate annual and monthly groundwater use for irrigation and aquaculture (2014–20) throughout this region at 1 km resolution, using annual pumping data from flowmeters in Mississippi and real-time flowmeters in Arkansas, Louisiana, Mississippi, Missouri, and Tennessee. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and other crops. Model results...
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This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)...
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This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed (‘intact’) forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., grid cells) that had not experienced major recent insect mortality or fire. Drought conditions were assessed using the multi-scalar standardized precipitation evapotranspiration index (SPEI), for which positive values indicate wetter that average conditions and negative values indicate drier than average conditions for a given...
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This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices (ASD) FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscripts referenced below. Items 1-9 include spectra, items 10-12 include statistical descriptions of correlation goodness of fit between derived indices and fractional NPV cover, and item 13 contains estimated Landsat Next sensor radiometric properties. Item 14 includes spectra added to version 1.1 of this data release which correspond to a closely related...
map background search result map search result map Average well color development data for water samples from six locations within the historic section of Mammoth Cave National Park, Kentucky Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017 Soil-Water-Balance (SWB) model data sets for Fauquier County, Virginia, 1996 - 2015 Analysis of drought sensitivity in the Pacific Northwest (Washington, Oregon, and Idaho) from 2000 through 2016 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Aerial Imagery, Benthic Macroinvertebrate, Topographic Survey, and Soil Survey datasets collected for a study of Effects of Culverts on the Natural Conditions of Streams in the East Gulf Coastal Plain of Alabama, 2010-2019 Habitat and biological assemblage data of streams within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017-18 Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer CE-QUAL-W2 water-quality model and supporting LOADEST models for J. Percy Priest Reservoir, Tennessee Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018 Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Chesapeake Bay Watershed Non-Tidal Network Station Catchments Regression tree datasets used to identify trophic states in Tennessee reservoirs Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022) Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Average well color development data for water samples from six locations within the historic section of Mammoth Cave National Park, Kentucky Habitat and biological assemblage data of streams within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017-18 CE-QUAL-W2 water-quality model and supporting LOADEST models for J. Percy Priest Reservoir, Tennessee Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022) Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017 Soil-Water-Balance (SWB) model data sets for Fauquier County, Virginia, 1996 - 2015 Regression tree datasets used to identify trophic states in Tennessee reservoirs Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018 Aerial Imagery, Benthic Macroinvertebrate, Topographic Survey, and Soil Survey datasets collected for a study of Effects of Culverts on the Natural Conditions of Streams in the East Gulf Coastal Plain of Alabama, 2010-2019 Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 Chesapeake Bay Watershed Non-Tidal Network Station Catchments Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Analysis of drought sensitivity in the Pacific Northwest (Washington, Oregon, and Idaho) from 2000 through 2016