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Hybrid Lidar/Imagery Sensor Validation Survey Data Hybrid Lidar/Imagery Sensor Validation Survey Data
U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the weeks of September 9-13 and November 18-22, 2019, using a combination of technologies to map and validate topography, vegetation, and features in two areas of interest (AOI's) in north central Colorado. The western AOI included land managed by the Bureau of Land Management and the U.S. Forest...
Hydroacoustic data from central Lake Erie, 2010-2019 Hydroacoustic data from central Lake Erie, 2010-2019
Hydroacoustic estimates of fish density are used for fisheries management in central Lake Erie. Hydroacoustic data were collected along up to four cross-lake transects in central Lake Erie July 2010 through July 2019. Software-generated raw variables used for calculating estimates of hydroacoustic fish densities are presented here.
Hydrogeochemical mixing data from Lake Michigan tributaries 2011 Hydrogeochemical mixing data from Lake Michigan tributaries 2011
This dataset describes the hydrogeomorphic structure and lake-tributary mixing in three intermediate-sized Lake Michigan rivermouths: Ford River, Manitowoc River, and Pere Marquette River. Data were collected from May to October 2011. Water chemistry variables were measured with a multiparameter sonde along longitudinal, lateral, and vertical transects. Magnesium, boron, and stable water...
Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon
A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three
Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018 Hydrographic surveys collected to monitor fish spawning reef placements, Detroit and St. Clair Rivers, Michigan, July 23-25, 2018
The U.S Geological Survey conducted hydrographic surveys from July 23-25, 2018 to monitor fish spawning substrate placements (reefs) in the Detroit and St. Clair Rivers, Michigan. A multibeam echosounder was used from the Great Lakes Science Center research vessel Cisco to collect hydrographic data. These data were used to generate maps of river bottom topography in locations where...
Hydrologic reconnaissance to identify areas of emergent groundwater, Mineral Creek, near Silverton, Colorado, June 2020 Hydrologic reconnaissance to identify areas of emergent groundwater, Mineral Creek, near Silverton, Colorado, June 2020
Hydrologic reconnaissance of Mineral Creek near Silverton, Colo., was conducted from June 25-27, 2020. Both banks of Mineral Creek and the adjacent hillsides were walked, starting near the ghost town of Chattanooga and proceeding downstream to the confluence of Mineral Creek with the Middle Fork of Mineral Creek. The purpose of this reconnaissance was to identify areas of emergent...
Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils Hydrologic simulations for Robinson Forest and Reclaimed Mineland Soils
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...
Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020) Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020)
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...
Idealized Antecedent Topography Sensitivity Study: Initial Baseline and Modified Profiles Modeled with XBeach Idealized Antecedent Topography Sensitivity Study: Initial Baseline and Modified Profiles Modeled with XBeach
The one-dimensional model inputs of idealized topography and bathymetry values for simulation of synthetic storm evolution with XBeach, as described in Mickey and others (2020) are provided here. The idealized topography and bathymetry were derived from LiDAR data from Dauphin Island, AL, USA over the timespan of 2005 to 2015. For further information regarding model input generation of...
Identification of Acara (Cichlidae: Cichlasoma) established in Florida, USA Identification of Acara (Cichlidae: Cichlasoma) established in Florida, USA
The Black Acara, Cichlasoma bimaculatum (Linnaeus 1758), first reported as introduced to Florida in 1965, is distributed throughout Florida's southern peninsula. Examination of live and preserved museum specimens of acara reveal a second species, the Chanchita, Cichlasoma dimerus (Heckel 1840) present in Florida since at least July 2000. A review of the relevant literature coupled with...
Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020) Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020)
Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan. Water samples were collected at each site (Jeorse Park 1, Jeorse Park 2, Hammond East, Hammond West, Whihala East, and the Grand Calumet River) three times a week for thirteen weeks and...
Image and biometric data for fish from Great Lakes tributaries collected during spring 2019 Image and biometric data for fish from Great Lakes tributaries collected during spring 2019
Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date...