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In 2015-2018, the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency Great Lakes Restoration Initiative investigated the biodegradation of microcystins in source waters and sand filters from drinking-water plants in the Western Lake Erie Basin. Four source waters and three sand filtrate samples were collected from the intakes and sand filters of Lake Erie drinking-water plants and transported to the USGS Ohio Water Microbiology Laboratory, where investigators set up microcosms to enrich for and identify indigenous bacteria capable of degrading microcystins. Quality control samples were set up in the microcosms to check analyses and included positive controls, negative controls,...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset and the accompanying Data Series report was created to assist in analysis and interpretation of water-quality data provided by the U.S. Geological Survey, National Stream Quality Accounting Network (NASQAN) and the National Monitoring Network (NMN). The report describes the methods used to develop the geospatial data which was primarily derived from the National Watershed Boundary Dataset (WBD12). The geospatial data...
The data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment and discrete water-quality samples (suspended sediment concentration, suspended sediment sieve diameter, total nitrogen, and total phosphorus) collected during site visits at the USGS streamgage Kankakee River at Shelby, Indiana (05518000) from January 2016 through May 2018.
These point clouds were derived from low-altitude (approximately 92-m above ground surface) images collected from unmannned aerial system (UAS) flights over an edge-of-field, paired sampling site that is part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in each of the two fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, controlled in pre-planned missions using Mission Planner. UAS and the multispectral camera (MicaSense RedEdge) both recorded geospatial...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Remote Sensing,
Soil Sciences,
USGS Science Data Catalog (SDC),
Water Resources
Mercury (Hg) is a persistent environmental contaminant and can accumulate and concentrate in food webs as methylmercury (MeHg), presenting a health risk to humans and wildlife. Multiyear monitoring and modeling studies have shown that atmospheric Hg in litterfall is an important form of Hg deposition to forests. Annual litterfall consists primarily of leaves with some amounts of needles, twigs, bark, flowers, seeds, fruits, and nuts. Atmospheric Hg accumulates in leaves and reaches an annual maximum concentration at autumn leaf drop. This data set is derived from ambient autumn litterfall samples collected at 23 selected National Atmospheric Deposition Program (NADP) Litterfall Mercury Monitoring Initiative (LMMI)...
Categories: Data;
Tags: USGS Science Data Catalog (SDC)
Robinson Forest, in eastern Kentucky, is a research forest owned and operated by the University of Kentucky (UK) since the 1920s. The UK Department of Forestry and Natural Resources began collecting streamflow and water-chemistry data in the forest starting with weirs at Falling Rock and Little Millseat in 1971, and supplemented by weirs at Coles Fork and Clemons Fork in 1973. This digital dataset includes information about how and where these data were collected, and how these data were processed. These data include streamflow, water temperature, and water chemistry (turbidity, chloride, nitrates, sulfates, ammonium, pH, alkalinity, calcium, magnesium, potassium, sodium, conductivity, total organic carbon, and...
This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water Quality Program. One of the major goals of the NAWQA project is to determine how water quality and ecological conditions change over time. To support that goal, long-term consistent and comparable ecological monitoring has been conducted on streams and rivers throughout the Nation. Fish, invertebrate, and algae data collected as part of the NAWQA program were retrieved from the USGS Aquatic Bioassessment database for use in trend analysis. Ultimately, these data will provide insight into how natural features and human...
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
Categories: Data;
Tags: Door County,
Great Lakes,
USGS Science Data Catalog (SDC),
Water Resources,
Wisconsin,
These data provide beryllium-7 (7Be) and excess lead-210 (210Pbxs) activity for fine-grained, mobile, streambed sediment in the Black Creek, Indiana (IN) stream-channel network. This basin is monitored in cooperation with the Great Lakes Restoration Initiative (GLRI). During the period July 22-25, 2019 (summer low flow), the thickness and spatial extent of soft, mobile, fine-grained (mainly silt and clay) streambed sediment was inventoried and sampled along 150-meter (m) transects. A combination of stream corridor land-use distribution, valley type, channel slope, stream order (Strahler, 1957), and ecoregion (Omernik and Griffith, 2014) was used to select 30 rapid geomorphic assessment reaches using methods of Fitzpatrick...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents the extent of the Ordovician aquifers in Tennessee and Kentucky.
Natural river channels continually evolve and change shape over time. As a result, channel evolution or migration can cause problems for bridge structures that are fixed in the flood plain. A once-stable bridge structure that was uninfluenced by a river’s shape could be encroached upon by a migrating river channel. The potential effect of the actively meandering Wabash River on the Interstate 64 (I–64) Bridge at the border with Indiana near Grayville, Illinois, was studied using a river migration model called RVR Meander (RVR Meander, 2011). RVR Meander is a toolbox that can be used to model river channel meander migration with physically based bank erosion methods. This study assesses the Wabash River meandering...
Categories: Data;
Types: Citation;
Tags: Geomorphology,
Gibson County,
Grayville,
Hydrogeology,
Illinois,
The development and the generation of the datasets that are published through this data release, were based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The geospatial dataset contain final versions of the raster and vector geospatial data and its related metadata, and the model archive dataset contains all relevant files to document and re-run the surface-water (SW) hydraulic model that are discussed in the report.
Robinson Forest, in eastern Kentucky, is a research forest owned and operated by the University of Kentucky (UK) since the 1920s. The UK Department of Forestry and Natural Resources began collecting air temperature data at the Robinson Forest Camp in 1971. This digital dataset includes information about the weather station where these data were collected, and how these data were processed. These data include air temperature records from 1971-2018.
During 2015-17, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Agriculture Forest Service (USDA FS), carried out a study to characterize the hydrology and water chemistry in the Rock Creek and Cumberland River areas of the Daniel Boone National Forest. The study areas were historically mined for coal and have since been the focus of remediation efforts. The study examined the contributions of tributaries and gains/losses in both areas, and continuous water-quality and base flow estimates at Rock Creek, so the USDA FS can thoroughly evaluate the current conditions and move forward with well-informed remediation efforts.
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the City of Rittman as part of a Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS). The flood-inundation maps show estimates of the areal extent corresponding to the 1% and 0.2% annual-exceedance probability floods. Flood profiles were computed for each stream reach by means of a one-dimensional step-backwater model.
Data include total nitrogen and carbon, carbon species, total metal, and particle-size analyses of soft streambed from the Black Creek basin, Allen County, Indiana that was collected in July 2019. These data will be used in a sediment-source mixing model in order to attribute the proportional contribution of individual sources to suspended sediment in the basin. Source samples were identified as one of five land-cover types: cropland (corn, soybean, hay, and wheat; sites included a mix of conventional and conservation tillage), active horse pasture, roads, preserved forest, and streambanks along agricultural and non-agricultural channels. Source data were collected in August 2017 (Williamson and others, 2020). Williamson,...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. A generalized streamflow-variability index coverage was created by interpolating a grid (with 6,066-ft^2 cells) from at-site values of the streamflow-variability index computed for 133 rural, unregulated streamflow-gaging stations in Ohio and nearby areas of adjacent states. Grid interpolation was done by means of the interpolate surface routine contained in the Spatial Analyst extension of ArcView. The inverse distance weighting...
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