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This dataset summarizes impairment status for HUC12 watersheds at the CONUS scale using the EPA publicly available Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) geospatial package and the USGS Watershed Boundary Dataset (WBD). ATTAINS is an online system maintained by the EPA containing information about the condition of the Nation’s surface waters, as reported by individual states. These data were downloaded in October 2023 and primarily reflect 2022 stream conditions. Because of the varying data types that exist in the database, an independent methodology was developed for summarizing impairment status for HUC12 watersheds using the USGS WBD as detailed in this metadata...
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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
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This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank movement for each bank. The catchment types included in this assessment were a majority agricultural catchment which began to be developed in 2016, a forested "control" catchment, and two urbanizing catchments with a high density of stormwater best management practices, in which cross-sectional surveys were collected pre-,...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document the location, sampling techniques and field conditions observed while collecting soil and sediment samples from selected stations in the northeastern US during the...
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Coastal communities are uniquely vulnerable to sea-level rise and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in subsequent years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health stressors. These data document the results from protein phosphatase 2A screening of extracts for selected stations in the northeastern U.S. during the 2015 pilot implementation of the SCoRR strategy in...
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This data set is combination of imagery from the Advanced Land Imager and Landsat 8 Surface reflectance data product covering three USGS gauge stations, Middle Haddam Connecticut (01193050), Potomac River at Little Falls (01646500), and the Susquehanna River at Darlington, Maryland (01579550) and the Sandy Hook to Jamaica Bays areas of the New York and New Jersey coast. Raw and corrected water quality data was collected from the NWIS database for the corresponding dates of Landsat 8 overpasses of all three sites. Calculations and functions from the Landsat bands were compared, such as band ratios and power functions were calculated and compared against the corrected data for Colored Dissolved Organic Matter. These...
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This dataset consists of 262 variables which describe various known and suspected point and non-point sources of contaminants and endocrine disrupting compounds (EDCs) throughout the Chesapeake Bay Watershed. Contaminant data was summarized to the NHDPlus Version 2.1 catchment level (1:100K). Contaminant data summarized span a time range of 2001 to 2016 and include regulated facilities, pesticides, manure and biosolids application data, mercury deposition, animal feeding applications, septic systems, landfills, and land use and land cover. These data are presented in a comma separated file, which includes all variables summarized and the NHDPlus Version 2.1 FEATUREID field (also known as COMID). The FEATUREID field...
Categories: Data, Data Release - Revised; Types: Citation; Tags: Aquatic Biology, Chesapeake Bay, Chesapeake Bay Basin, Delaware, Discharge Monitoring Report (DMR), All tags...
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Stakeholder science needs were determined by reviewing more than 200 recently published literature items and web pages from Colorado River Basin (CRB) stakeholders. These stakeholder communications were used to characterize over 400 stakeholder science needs by reviewing their priorities, strategies, issues, missions, and concerns related to drought in the CRB. Members of the CRB Integrated Science Pilot Project team identified each of the stakeholder’s science needs and categorized the needs based on science themes and science topics that the needs address in the landscape. The terms used as science topics were initially created by Pilot Project team members but then later were cross-walked to match terms in the...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document the major element chemistry, major and trace chemical composition, total sulfur content, inorganic and organic carbon for soil and sediment samples from selected stations...
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Each year the U.S. Environmental Protection Agency (EPA) reports permit, location, and discharge information for facilities across the United States and its territories through the Discharge Monitoring Report (DMR). Because these data are cataloged through a variety of systems, including self-reporting, there are discrepancies that may lead to incorrect spatial interpretation of content in the database. The processing of this quality assessed and modified dataset included steps to evaluate the accuracy and potential limitations of DMR data between 2007 and 2019. Attributes within this tabular dataset include facility and outfall locations as well as confidence ratings for those locations, and hydrologic unit code...
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This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions. First posted - January 6, 2020 (available from author) Revised - October 30, 2020 (version 2.0)
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These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from the Salt Lake Valley, Utah between 2018 and 2019. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to examine contributions of dust from the dry lakebed of Great Salt Lake, other regional playas, and anthropogenic sources to passive dust samplers deployed throughout the rapidly growing cities at the foot of the central Wasatch Mountains, referred to as the Wasatch Front. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City,...
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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document the location, sampling techniques and field conditions observed while collecting soil and sediment samples from selected stations in the northeastern US during the...
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This data release contains model code and input data for, and predictions from, both a dynamic stream dissolved solids and a static baseflow dissolved solids SPARROW (SPAtially Referenced Regression On Watershed attributes) model of the Upper Colorado River Basin for water years 1986-2017. Input data includes information on dissolved solids sources, landscape transport characteristics, and dissolved solids load calibration data from water quality monitoring stations. Model output includes predictions for every reach of total and incremental predicted loads and total and incremental loads from each source. Further details on model development and results are described in Miller and others, 2023.
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This data release contains coastal wetland synthesis products for the geographic region of north shore Long Island, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem...
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This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)
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These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to evaluate the spatial variability of dust and metals deposition to urban areas and natural ecosystems...
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Coastal communities are uniquely vulnerable to sea-level rise and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in subsequent years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health stressors. These data document the mid-range Fourier transform infrared (FTIR) spectra and absorbance measurements as a function of wavelength with and without spectral corrections for selected stations...
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This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that was interpolated from contours maps created in 1947 and 1959; and (4) interpolated topography where gaps existed in the bathymetric and lidar data or where historical data were not suitable (Poppenga and others, 2020). For this data release, two corrections were made to the TBDEM to address errors associated with the historic...
Categories: Data; Tags: 3D Elevation Program, 3DEP, Acoustic Sonar, Arizona, CoNED, All tags...


map background search result map search result map CDOM/fDOM and Landsat 8 Comparisons Location, sampling methods and field conditions of resiliency-mode soil and sediment sampling stations sampled, Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Location, sampling methods and field conditions of response-mode soil and sediment sampling stations sampled, Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Exposure potential of saltmarsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors (polygon shapefile) Raster image of exposure potential to environmental health stressors in Edwin B. Forsythe National Wildlife Refuge (32-bit GeoTIFF) Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Potential contaminant sources and other landscape variables summarized for NHDPlus Version 2.1 catchments within the Chesapeake Bay Watershed (ver. 2.0, June 2021) Fourier Transform Infrared (FTIR) screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Protein Phosphatase 2A screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020) Exposure potential of marsh units to environmental health stressors in north shore Long Island salt marsh complex, New York Modified topobathymetric elevation data for Lake Powell A snapshot of stakeholder science needs related to drought in the Colorado River Basin Geomorphic metrics across four catchments in Clarksburg, Maryland, 2002-19 Dust and sediment data from Great Salt Lake and the Wasatch Front, Utah, 2018-19 Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Dust and sediment data from Great Salt Lake and northern Utah, 2022 EPA Impaired Waters presence and causes for HUC12 watersheds across the Conterminous U.S. Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020) Exposure potential of marsh units to environmental health stressors in north shore Long Island salt marsh complex, New York Geomorphic metrics across four catchments in Clarksburg, Maryland, 2002-19 Exposure potential of saltmarsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors (polygon shapefile) Raster image of exposure potential to environmental health stressors in Edwin B. Forsythe National Wildlife Refuge (32-bit GeoTIFF) Dust and sediment data from Great Salt Lake and northern Utah, 2022 Modified topobathymetric elevation data for Lake Powell Dust and sediment data from Great Salt Lake and the Wasatch Front, Utah, 2018-19 CDOM/fDOM and Landsat 8 Comparisons Potential contaminant sources and other landscape variables summarized for NHDPlus Version 2.1 catchments within the Chesapeake Bay Watershed (ver. 2.0, June 2021) Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Location, sampling methods and field conditions of response-mode soil and sediment sampling stations sampled, Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Location, sampling methods and field conditions of resiliency-mode soil and sediment sampling stations sampled, Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 A snapshot of stakeholder science needs related to drought in the Colorado River Basin Fourier Transform Infrared (FTIR) screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Protein Phosphatase 2A screening of extracted sediments for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 EPA Impaired Waters presence and causes for HUC12 watersheds across the Conterminous U.S.