Filters: Types: OGC WFS Layer (X) > partyWithName: Water Resources (X)
Folders: ROOT > ScienceBase Catalog ( Show direct descendants )
1,287 results (23ms)
LocationFilters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
|
The U.S. Geological Survey (USGS) is providing a polygon feature class containing the approximate locations and confining units of the unconfined and confined aquifers within the Binghamton East 1:24,000 quadrangle of south-central Broome County, New York, 2020. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer Mapping,
Basin & Hydrogeologic Characterization,
Broome County,
Conklin,
Kirkwood,
A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Lake, Marion, and Orange Counties, Florida. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Crop type,
Florida Department of Agriculture and Consumer Service,
Groundwater,
Irrigation type,
Landuse,
The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.
This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Estimation,
Low-flow statistics,
New Jersey,
USGS Science Data Catalog (SDC),
Water Resources
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Estimation,
Low-flow statistics,
New Jersey,
USGS Science Data Catalog (SDC),
Water Resources
This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents and seiche effects associated with the mixing of river flows with Lake Michigan backwater. The TBDEM mosaic is built off existing terrestrial, nearshore, and estuary frameworks developed for other areas around the Great Lakes and the Milwaukee River Harbor. Ranging from 2008-2015, land elevations derived from lidar and historic topographic...
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cameron County,
Laguna Madre,
South Padre Island,
Texas,
USGS Science Data Catalog (SDC),
This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, and runoff from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The three variables are derived from two sets of statistically-downscaled general circulation models from 1951 through 2099. The three variables were summarized for comparison across four 19-year periods: historic (1951-1969), baseline (1981-1999), 2050 (2041-2059), and 2080 (2071-2089). For each refuge, mean monthly plots, seasonal box plots, and annual envelope plots were produced for each...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climatology,
Colorado,
Hydrology,
Kansas,
Montana,
Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM...
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled Global Climate Models (GCMs) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The 20 future climate scenarios consist of ten GCMs with RCP 4.5 and 8.5 each: ACCESS 1.0, CanESM2, CCSM4, CESM1-BGC, CMCC-CMS, CNRM-CM5, GFDL-CM3, HadGEM2-CC, HadGEM2-ES, and MIROC5. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme...
The Sauk River, a fedrally designated Wild and Scenic River, is one of the few large glacier-fed rivers in western Washington that is unconstrained by dams and drains a relatively pristine landscape which includes Glacier Peak, a glaciated stratovolcano. The U.S. Geological Survey (USGS) conducted a 5-year study (2012-2016 water years) of suspended-sediment and water temperature monitoring for the purpose of determining suspended-sediment loads and identifying sediment production regimes and associated seasonality of sediment transport. Monitoring occurred at three USGS streamgages on the Sauk River, including two long-term gages with more than 90 years of continuous record and a new gage installed for the purpose...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
Water Quality,
Water Resources
Water used for hydraulic fracturing treatments in and near the Williston Basin during 2000-2015, was estimated using data reported in IHS Markit (TM) (2016). Hydraulic fracturing treatment data from IHS Markit (TM) (2016) may include volumes in a variety of measurement units, and they may include multiple treatments per well. All listed treatments within the study area were converted to gallons and summed on a per-well basis, discounting any treatments for which the specified measurement units were unclear (for example, “sacks”, or “feet”), which were minor. Of 3,734,380 treatments listed within the study area during the timeframe of interest, 0.7% (26,373 records) were not included. For each well, the date listed...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
These data sets present results from the analyses of groundwater samples collected from monitoring wells and monitoring intervals in bedrock wells in the mudstone aquifer underlying the former Naval Air Warfare Center (NAWC), West Trenton, NJ. The water samples were collected between 2008 and 2013 and were analyzed for field parameters, inorganic and organic constituents, and the abundances of selected microbes of importance to the evaluation of biological degradation of organic contaminants in groundwater. The collection and analyses of the groundwater samples coincides with conducting a bioaugmentation experiment in a targeted region of the mudstone aquifer. The purpose of the bioaugmentation was to introduce...
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Area of Concern,
Area of Concern,
Emerging Contaminants,
Emerging Contaminants,
Great Lakes,
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...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Geomorphology,
Oregon,
RTK,
USGS Science Data Catalog (SDC),
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...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Chena River,
Knik River,
Matanuska River,
Montana Creek,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Georgia,
Hydrology,
North Carolina,
South Carolina,
USGS Science Data Catalog (SDC),
This data release documents spatiotemporal water-quality, landscape, and climatic conditions in Fairfax County, Virginia from 2007 through 2018. These data were used to evaluate the water-quality and ecological condition of 20 Fairfax County watersheds monitored since 2007. Data include measures of water-quality, precipitation, air temperature, land use, land cover, wastewater and stormwater infrastructure, soil properties, geologic setting, and stream networks. Annual values from 2007 through 2018 are reported for data expected to change over time. Watershed-specific values are reported for data that differ across the landscape. Annual values for the 20 study watersheds and Fairfax County are reported in the file...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Fairfax,
USGS Science Data Catalog (SDC),
Water Quality,
air temperature,
biota,
|
|
