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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
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This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) 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 with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
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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 data set consists of the results of the statistical analysis (Asquith and others, 2020) of the remaining 10,295 water level records that met specific criteria to ensure that the water level records were representative of true groundwater conditions in the Mississippi River Valley alluvial aquifer. The data are provided in a CSV file named StatisticalAnalysis.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive named StatisticalAnalysis.zip.
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The datasets provided here are the input data used to run the Seasonal Kendall Trend (SKT) tests and Weighted Regressions on Time, Discharge, and Season (WRTDS) models. SKT tests use "annualSamplingFreqs_allSites.csv" and "wqData_screenedSitesAll.csv" which includes, for all site-parameter combinations, information on annual sampling frequencies and the screened water-quality data, respectively. The WRTDS models use "DRB.wqdata.20200521.csv", "DRB.flow.20200610.zip", and "DRB.info.20200521.csv" for calibration which includes, for all site-parameter combinations, the water-quality data, streamflow data (as separate .csv files for each site), model specifications and site information, respectively. The multisource...
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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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Airborne geophysical surveys were acquired in March 2018 and May 25 through August 7, 2021 using a helicopter-based platform. These surveys were collected along 10,706 line-kilometers (line-km) within selected areas of the Mississippi Alluvial Plain (MAP) and the Chicot Aquifer System in the southeastern United States. The airborne geophysical surveys include electromagnetic, magnetic, and radiometric sensor data collected in rivers and levees throughout the two areas to evaluate groundwater and surface-water interaction, riverine ecosystems, and infrastructure. This data release contains three child items that provide: Minimally processed (raw) data supplied by the airborne contractor (Xcalibur Multiphysics)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: "Geomorphology"], "Hydrology", "Sedimentology", "Stratigraphy", "Water Resources", All tags...
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The Sparta aquifer is a primary source of groundwater in north-central Louisiana with more than 60 million gallons of water per day being withdrawn in 2015, and public supply and Industry account for over 90 percent of the water-use demand from the Sparta aquifer (Collier, 2018). Concentrated withdrawals from the Sparta aquifer have caused regional water-level declines within the Sparta aquifer (McGee and Brantly, 2015). Widespread concern about the potential effects of declining water levels has brought forth many questions regarding the sustainability of the aquifer as well as continued saltwater intrusion. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey...
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Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2019 to March 2020 along 24,030 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different airborne sensors: the CGG Canada Services, Ltd. TEMPEST time-domain AEM instrument that is used to map subsurface geologic structure at depths up to 300 meters (m), depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arkansas, Arkansas River, GGGSC, Geology, Geophysics, and Geochemistry Science Center, Geophysics, All tags...
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This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-5079) and code contained in a USGS GitLab repository. The GitLab repository (https://code.usgs.gov/map/maprandomforest/) contains much more information about how these data may be used to supply predictions of stream flow and baseflow.
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This dataset consists of altitudes of 18 springs located throughout the study area which were used in construction of the potentiometric-surface map. Springs were selected from the previously published report by Kresse and Hays (2009), and site reconnaissance. Surface-water features and springs represent the intersection of the groundwater-table with land surface. Spring altitudes were calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016) . Select References: Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09:...
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A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of managed water withdraws are public supply, irrigation, and thermoelectric. The modified water budget is: P=Q + ET + ΔS + (PS + Irr + TE) + e, where PS is public supply, Irr is irrigation, and TE is thermoelectric water use. This data release contains both the natural and managed components of the water budget for a region within the Apalachicola-Chattahoochee-Flint (ACF) River...
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Of the approximately 6.6 million people living in the Mississippi embayment (MISE) region in the central United States, approximately 65 percent rely on groundwater for their drinking water (Dieter, Linsey, and others, 2017). Regional assessments of water quality in principal aquifer systems provide context for the long-term availability of these water resources for drinking-water supplies. To assess the current (2018) status of water quality in MISE in relation to drinking water supplies, groundwater withdrawal zones used for domestic and public supply were modeled using available groundwater well and hydrogeologic framework data. Three dimensional surfaces were modeled to map the depth zones at which groundwater...
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This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...
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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...
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Bottom altitudes of the Mississippi River Valley alluvial aquifer (MRVA) were compiled from interpretations of subsurface geophysical logs (log picks) at about 10,000 boreholes and wells located throughout the Mississippi Alluvial Plain (MAP) that were available from previous investigations. Five sources of the bottom altitude data are listed numerically in the Cross Reference section (below) and correspond with the Ref_code listed in the .shp dataset. Borehole geophysical data (log picks) were referenced (corrected) to the National Elevation Dataset (NED) 10-meter digital elevation model (DEM; https://nationalmap.gov/elevation.html). Log picks that required a DEM correction of less than 20 feet were retained for...
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These data include groundwater-level data from 59 wells measured from July to August 2017. Measured groundwater data are also available from the USGS National Water Information System (U.S. Geological Survey, 2018) Well locations were selected from three sources: previously reported sites (Kresse and Hays, 2009), site reconnaissance, and driller’s logs obtained from the Arkansas Natural Resources Commission driller database. Reference: U.S. Geological Survey, 2018, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed 1 July 2017 at http://dx.doi.org/10.5066/F7P55KJN.
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This dataset contains 50-ft contours for the Hot Springs shallowest unit of the Ouachita Mountains aquifer system potentiometric-surface map. The potentiometric-surface shows altitude at which the water level would have risen in tightly-cased wells and represents synoptic conditions during the summer of 2017. Contours were constructed from 59 water-level measurements measured in selected wells (locations in the well point dataset). Major streams and creeks were selected in the study area from the USGS National Hydrography Dataset (U.S. Geological Survey, 2017), and the spring point dataset with 18 spring altitudes calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological...
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Soil survey maps were examined to better understand the surficial materials at each study site. Soil maps provide information about soil properties and their behavioral characteristics. Soil survey maps were generated using the United States Department of Agriculture-Natural Resources Conservation Service’s (USDA-NRCS) Web Soil Survey (WSS) tool (http://websoilsurvey.sc.egov.usda.gov/). The USDA-NRCS WSS maps are presented as separate Portable Document Format (PDF) files. References Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at the following link: http://websoilsurvey.sc.egov.usda.gov/. Accessed August 2017.
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Benthic macroinvertebrate samples to evaluate before- and after-culvert construction phases were collected at seven study sites. Samples were collected in two reaches at each site, one upstream and one downstream of the culvert installation. Biological data for all seven sites (14 sample reaches) are included in this data release. In the summer of 2011, samples were collected from upstream and downstream reaches at six stream sites. Samples from Oakmulgee Creek, Northington Branch, Lye Branch, Mill Creek, and Kanetuche Creek represented conditions before culvert construction. The samples from the Tributary to Cahaba River represented conditions during construction since the culvert was already constructed and active...


map background search result map search result map Well Point Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 Spring Point Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 Statistical Analysis of Water Level Records in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resources' Well Information Management System (WIMS) Digitized Maps of the Potentiometric Surface of the Sparta Aquifer in North-Central Louisiana, 1886 to 2012 (ver. 1.1, April 2021) Natural and managed components of the water-budget from 2008–2012 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. Digital surfaces of the bottom altitude and thickness of the Mississippi River Valley alluvial aquifer and site data within the Mississippi Alluvial Plain project region Groundwater withdrawal zones for drinking water from the Mississippi River Valley alluvial aquifer and Mississippi embayment aquifers Contour Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at 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 Benthic invertebrate data collected at selected new culvert installation locations in the East Gulf Coastal Plain of Alabama Web soil survey maps for selected new culvert installation sites in the East Gulf Coastal Plain of Alabama Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2019 - March 2020 Regression tree datasets used to identify trophic states in Tennessee reservoirs Airborne electromagnetic, magnetic, and radiometric surveys of the Mississippi Alluvial Plain and Chicot Aquifer System, March 2018 and May - August 2021 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Spring Point Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 Contour Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 Natural and managed components of the water-budget from 2008–2012 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. Statistical Analysis of Water Level Records in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resources' Well Information Management System (WIMS) Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Regression tree datasets used to identify trophic states in Tennessee reservoirs 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 Benthic invertebrate data collected at selected new culvert installation locations in the East Gulf Coastal Plain of Alabama Web soil survey maps for selected new culvert installation sites in the East Gulf Coastal Plain of Alabama Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2019 - March 2020 Digitized Maps of the Potentiometric Surface of the Sparta Aquifer in North-Central Louisiana, 1886 to 2012 (ver. 1.1, April 2021) Airborne electromagnetic, magnetic, and radiometric surveys of the Mississippi Alluvial Plain and Chicot Aquifer System, March 2018 and May - August 2021 Digital surfaces of the bottom altitude and thickness of the Mississippi River Valley alluvial aquifer and site data within the Mississippi Alluvial Plain project region Groundwater withdrawal zones for drinking water from the Mississippi River Valley alluvial aquifer and Mississippi embayment aquifers