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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...
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The Maumee River network contributes a significant amount of total phosphorus (P), including both sediment-bound P (sed-P) and dissolved reactive P (DRP, also known as orthophosphate). Most headwater streams of the Maumee River are predominantly agricultural in land use, interspersed with rural communities. Implementation of best management practices on agricultural operations has worked to limit the amount of material that is carried to the stream from cropland. However, several studies have shown streambank erosion to be another source of suspended sediment in these streams. The objective of this work was to map streambank erosion and soft, streambed sediment abundance along stream reaches in a basin that is currently...
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This dataset provides physical and chemical data for a sediment-fingerprinting study conducted in the upper parts of the Linganore Creek watershed in an effort to quantify and determine the sources of fine-grained sediments eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Data were collected from August 1, 2008 through December 31, 2010. Chemical data include median particle size, total organic carbon (C) and total nitrogen (N), and concentrations for 19 elements. Physical data includes upstream drainage area from sampling location as well as land-use type.
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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...
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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...
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...
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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...
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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.
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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 precipitation and precipitation chemistry data in the forest starting with one weather station at the Robinson Forest Camp in 1971, and followed by several additional stations in the mid-1990s. This digital dataset includes information about the weather stations where these data were collected, and how these data were processed. These data include precipitation and precipitation chemistry (chloride, nitrates, sulfates, ammonium, pH, alkalinity, calcium, magnesium, potassium, sodium, conductivity, total organic carbon,...
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Robinson Forest, in eastern Kentucky, is a research forest owned and operated by the University of Kentucky (UK) since the 1920s. The Forest is situated in a portion of eastern Kentucky that has undergone extensive resource extraction, including silvaculture and both underground and surface mining of coal. This site has been used to evaluate hydrologic process, stream permanence, and the potential effect of different methods of mineland reclamation on hydrology. Hydrology was simulated using the Water Availability Tool for Environmental Resources.
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...
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This data release includes chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include concentrations for 20 elements, extracted by Mehlich-3 extraction. Source samples were collected in August and September 2017 and analyzed in 2019.
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This data release includes meteorological and soil information collected from calendar years 2015 to 2021 (water years 2016 to 2021) that include air temperature, soil temperature, soil moisture and solar radiation monitored at a site in the Black Creek subwatershed near Harlan, Allen County, Indiana (USGS 411228084541703 MET STATION WEST OF BULL RAPIDS RD NR HARLAN, IN). Meteorological and soil monitoring was done in coordination with monitoring of flow, suspended sediment, and nutrients in overland flow and subsurface-tile flow to support understanding of factors affecting nutrient and sediment loads at paired U.S. Geological Survey (USGS) edge-of-field (EOF) agricultural sites. Black Creek is a tributary of the...
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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...
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This data release includes physical and chemical data for samples from upland source and streambank sampling sites in the Little River basin, Kentucky. Data were collected from March to November of 2014. These data include total nitrogen and carbon concentrations, organic carbon concentrations, concentrations for 37 metals, and particle-size analysis. Source samples were grouped into one of four land use categories: Crop, pasture, riparian, or streambank. These data are used for sediment fingerprinting in order to quantify the proportional contribution of sources to suspended sediment in the basin.
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Image library of (1) tile-drained landscapes and (2) tile-drain types that will be used for a machine-learning model workflow that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView and Quickbird satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.
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This data release includes physical and chemical data for samples from fluvial targets (streambed and suspended sediment) from three sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Fluvial-target samples include both soft, streambed sediment and streamflow-integrated, monthly, suspended-sediment samples for water year 2018. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson et al. in revision].
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This data release includes physical and chemical data for samples from suspended and bottom sediments of streams in Minnesota. Data were collected in September 2011 and April 2012. These data include total nitrogen and carbon, organic carbon, concentrations for 39 metals, and particle-size analysis. Source samples were grouped into one of three land-use categories: channel (Mid-bank,Low-bank), cropland (corn, sugar beets, soybeans, bare field), or road. These data were used for source attribution in order to quantify the proportional contribution of individual sources to suspend sediment in the basin.
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This data release includes physical and chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Source samples were identified as one of five land-use types: active cropland (corn, soybean, hay, and wheat), active horse pasture, roads, preserved forest, and streambanks of agricultural and non-agricultural channels. Source data were collected in August and September 2017. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson...
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...


    map background search result map search result map Low-altitude multispectral and thermal-infrared imagery from agricultural fields, Black Creek basin, Allen County, IN - spring 2017 Precipitation and Precipitation Chemistry in Robinson Forest, Breathitt County, Kentucky (1971-2018) Streamflow Magnitude, Water Temperature, and Water Chemistry in Robinson Forest, Breathitt County, Kentucky (1971-2018) Air temperature in Robinson Forest, Breathitt County, Kentucky (1971-2018) Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples Black Creek Rapid Geomorphic Assessment, Allen County, Indiana Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains) Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in the West Fork of Beaver Creek, Minnesota Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Little River, Kentucky. Extractable elements data for sediment-source fingerprinting in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie Continuous meteorological and soil data to support understanding of nutrient and sediment loads from overland and subsurface-tile flow at paired edge-of-field agricultural sites, 2015–21, Black Creek watershed, near Harlan, Indiana, USA Fallout-radionuclide activity in samples collected from fine-grained, streambed sediment in the Black Creek, Indiana stream-channel network, 2019 Continuous meteorological and soil data to support understanding of nutrient and sediment loads from overland and subsurface-tile flow at paired edge-of-field agricultural sites, 2015–21, Black Creek watershed, near Harlan, Indiana, USA Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5 Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2 Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils Black Creek Rapid Geomorphic Assessment, Allen County, Indiana Extractable elements data for sediment-source fingerprinting in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie Fallout-radionuclide activity in samples collected from fine-grained, streambed sediment in the Black Creek, Indiana stream-channel network, 2019 Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples Precipitation and Precipitation Chemistry in Robinson Forest, Breathitt County, Kentucky (1971-2018) Streamflow Magnitude, Water Temperature, and Water Chemistry in Robinson Forest, Breathitt County, Kentucky (1971-2018) Air temperature in Robinson Forest, Breathitt County, Kentucky (1971-2018) Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in the West Fork of Beaver Creek, Minnesota Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Little River, Kentucky. Low-altitude multispectral and thermal-infrared imagery from agricultural fields, Black Creek basin, Allen County, IN - spring 2017 Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)