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Note: This data release has been superseded by https://doi.org/10.5066/P9N4MPIH Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes from nine tributaries to the Chesapeake Bay from 1985 to 2020. Data are presented from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation include January through May and November through May. The estimates are made using up-to-date streamflow and all total nitrogen analyses available as of June 1 of the reporting year.
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This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa; 06607200, Maple River at Mapleton, Iowa; and 06607500, Little Sioux River near Turin, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analyses for these streamgages were...
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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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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
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Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
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The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board (SWRCB), compiled Fall 2017 fluid level elevation data from idle oil and gas wells in the Oxnard Oil Field to estimate vertical hydraulic head difference between oil production and overlying groundwater aquifer zones. Fluid elevations came from two sources, measurements in idle oil and gas wells and groundwater elevations in water wells in the overlying aquifer estimated at the points of idle well measurements using geographic information system (GIS) procedures. The fluid elevations from idle oil and gas wells were compiled by the California Geologic Energy Management Division (CalGEM) as part of their Idle...
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Estimates of various low-flow statistics were computed at 71 ungaged stream locations throughout New Jersey during the 2017 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions With Applications at Partial-Record Streamgages in New Jersey (U.S. Geological Survey Open File Report 2018-1089). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name,...
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Estimates of various low-flow statistics were computed at 61 ungaged stream locations throughout New Jersey during the 2016 water year using methods in the report, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method, and intended use of the low-flow statistics computed during the 2016 water year. The data are provided as both a plain text file and an ArcGIS shapfile format.
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The U.S. Geological Survey (USGS), in cooperation with the City of South Padre Island, Texas, deployed an acoustic Doppler current profiler (ADCP) to collect current velocity, wave height, and directional data in the lower Laguna Madre adjacent to South Padre Island, Texas. From July 19, 2022, through January 9, 2023, these data were collected at a site near South Padre Island (USGS station number 260551097100901) by using an up-looking acoustic doppler current profiler (ADCP) mounted on the bottom of the lower Laguna Madre. Raw data were collected at a frequency of 2 hertz (Hz); reported values were computed as the average of the processed data values for 60-minute intervals. All times are represented in Coordinated...
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This data release contains time-lapse imagery taken at U.S. Geological Survey (USGS) stream gaging stations with associated hydrologic and meteorological data related to each image. These data are to help improve the development of models in detecting water elevation at a given stream gaging station. Images of the water surface and surroundings at USGS stream gaging stations were taken at varying time intervals ranging between every five minutes to an hour. Cameras used include trail cameras, web cameras, and the custom river imagery sensing (RISE) camera. Time-lapse images for each USGS stream gaging station are provided in compressed files (file extension .7z). These files are named in a format to identify the...
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This dataset includes the audio-magnetotelluric (AMT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including AMT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AMT, Cerro, Cerro De La Olla, GGGSC, GPS measurement, All tags...
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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...
In this study, we develop urban ecosystem accounts in the U.S., using the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) framework. Most ecosystem accounts focus on regional and national scales, which are appropriate for many ecosystem services. However, ecosystems provide substantial services in cities, improving quality of life and contributing to resiliency for substantial parts of the population. Our models estimate energy savings for indoor cooling resulting from heat mitigated by trees and rainfall intercepted by trees. Both models cover major cities in the contiguous U.S. and report the results through physical supply and use tables for multiple accounting periods...
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This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provide complete coverage, with ample overlap, of the study area along the Snow River. Also within the pod was an ATLANS GPS/Inertial Motion Unit (IMU) that recorded the position and orientation of the platform during the flight. This information was used to geo-reference the images by performing aerial triangulation and bundle...
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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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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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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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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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 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2016 Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2017 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 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Fluid levels in the Oxnard Oil Field, Ventura County, California 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 Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2020 Data release for Piloting Urban Ecosystem Accounting for the United States Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Survey Data Collection for the Bureau of Reclamation at Glen Canyon Dam near Page, Arizona, November 2020 Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) Imagery training dataset for the River Imagery Sensing (RISE) application Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats NGWOS Ground Based Discrete Snowpack Measurements Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Current Velocity, Wave Height, and Directional Data in the Lower Laguna Madre near South Padre Island, Texas, July 2022 to January 2023 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 Fluid levels in the Oxnard Oil Field, Ventura County, California Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018 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 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (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 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2016 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2017 NGWOS Ground Based Discrete Snowpack Measurements Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022) 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 Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2020 Imagery training dataset for the River Imagery Sensing (RISE) application Data release for Piloting Urban Ecosystem Accounting for the United States