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This project contains data and supporting files from hydrodynamic and particle tracking models of the Missouri River at Searcys Bend developed in conjunction with an experimental dye release at the study site on March 5, 2021. The main objectives of this effort were to develop a hydrodynamic model using topographic and flow data collected in the field for subsequent use in a particle tracking model to simulate dye dispersion during the experiment.
A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and from the combined XYZ dataset, a digital terrain model (DTM) of the lakebed below flood pool elevation 474 feet above the North American Vertical Datum of 1988 (NAVD88) was created. Products derived from the DTM include a digital elevation model (DEM) in...
A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). Products included...
This child item data set provides phytoplankton data collected from Owasco Lake, New York, on October 8, 2019. Phytoplankton were identified to the lowest possible taxonomic level, and abundance (density reported as both natural units and cells) and biovolume are reported. All data are reported as raw calculated values. This dataset includes all routine and quality assurance/quality control samples collected at twelve sampling locations on Owasco Lake.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Class,
Contaminants, HABS,
Division,
Family,
Finger Lakes,
The Willamette Valley Project (WVP) is a system of revetments, fish hatcheries, and 13 dams in the Willamette Basin of northwestern Oregon that is operated by the U.S. Army Corps of Engineers to provide flood risk management, irrigation, power generation, water quality improvement, and recreational opportunities, among other authorized purposes. By reducing available habitat and altering the natural hydrologic and thermal regimes in the Willamette Basin, the WVP has negatively influenced native populations of anadromous fish, including spring-run Chinook salmon (Oncorhynchus tshawytscha) and winter-run steelhead (O. mykiss), which were designated as threatened under the Endangered Species Act of 1973 (Public Law...
Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020)
Note: An error was discovered in the BenthicBiomas Table, mostly in designation of BDLs and zeros. Data are undergoing further QC and the corrected dataset will be posted soon. This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors...
Categories: Data,
Data Release - Revised;
Tags: Aquatic Biology,
CTD measurement,
Ecology,
Great Lakes Region,
Lake Erie,
Data were collected in August, 2020 to support development of a bathymetric map for Larimore Dam in Grand Forks County, North Dakota. Global Navigation Satellite System (GNSS) surveying equipment was used in static and real-time kinematic (RTK) mode to establish a local reference mark and check-in/check-out point, to collect water surface elevations, and to collect topographic points along established data collection transects. Topographic points were collected on land, in water too shallow for boating, and in areas of the lake where thick aquatic vegetation prohibited use of an echosounder and transducer. In areas of the lake deep enough for boating and where aquatic vegetation was not present, depth data was collected...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
Grand Forks County,
Larimore Dam,
Limnology,
North Dakota,
The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V Cisco. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively....
This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
This dataset consists of a shapefile of points corresponding to water depth collected for the bathymetric survey of Puerto Mosquito, in Isla de Vieques, Puerto Rico, on August 11, 2015. The U.S. Geological Survey, in cooperation with the Puerto Rico Environmental Quality Board, conducted a limnological study at Puerto Mosquito in Vieques to assess the principal mechanisms affecting the hydrology and water quality characteristics. The study characterized hydrologic and physical-chemical properties, sediment deposition rates, bathymetry, and biological conditions. The bathymetric survey system used for the study consisted of coupling a global positioning system (GPS) device with a water depth sounder. Established...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Puerto Mosquito,
Puerto Rico,
Storage volume,
Vieques,
bathymetry,
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,...
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,...
This dataset provides the estimated cell abundance and total biovolume for whole-water picoplankton samples collected by the U.S. Geological Survey (USGS) at 25 different sites in Kansas between August of 2020 and August of 2022. The samples were analyzed by BSA Environmental Services, Inc. This data is part of a larger multi-agency project between U.S. Environmental Protection Agency, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, and USGS called the Cyanobacteria Assessment Network (CyAN). The goal of the CyAN project is to develop a satellite-based, early warning system to detect harmful algal blooms (HABs) in freshwater systems.
These data were compiled for modeling efforts of Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to forecast water temperature, smallmouth bass population growth rate, and smallmouth bass entrainment rates under different water management scenarios. These data represent forecasted smallmouth bass entrainment rates and smallmouth bass population growth rates. Data were collected in 2023 and 2024 by the Bureau of Reclamation CRMMS and then used by the U.S. Geological Survey-Southwest Biological Science Center-Grand Canyon Monitoring & Research Center in the modeling process. These data can be used to evaluate different...
A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and...
Under the Great Lakes Restoration Initiative, the U.S. Geological Survey Mercury Research Lab (USGS MRL) conducted a multiyear assessment of mercury across the Laurentian Great Lakes. Biannual sampling was conducted across all five lakes onboard the U.S. Environmental Protection Agency (US EPA) research vessel Lake Guardian (in years 2010–2014, 2018) at pelagic sampling locations established by the long-term US EPA Great Lakes monitoring program. In addition to the regularly scheduled biannual sampling, in September 2013 and 2014 Lake Michigan and Lake Erie (respectively) were sampled with increased focus on shallow nearshore locations. Throughout these sampling efforts, sediments, mussels, surface water, and plankton...
This data release includes zooplankton data collected from a collaborative effort for Environmental Protection Agency’s Cooperative Science and Monitoring Initiative (CSMI). Zooplankton surveys were conducted during the growing season, from late April to early November, in two Lake Michigan transects in 2010, two Lake Huron transects in 2012, eight Lake Michigan transects in 2015, and nine Lake Huron transects in 2017. Zooplankton samples were collected by whole water-column tows at two or three stations in different bottom-depth categories (i.e., shallow, middle, and deep) in each of the transects. Due to the difference in bathymetry, some transects did not have a deep station. The shallow and middle stations have...
Categories: Data;
Tags: Ecology,
Lake Huron,
Lake Michigan,
Limnology,
USGS Science Data Catalog (SDC),
This dataset records results from a bottom-deployed upward-looking Acoustic Doppler Current Profiler (ADCP, 600 kHz Workhorse Monitor, Teledyne RD Instruments, Poway, California) deployed during the summer of 2019 (late June until early August) near Hammond Bay, Lake Huron (45.5948 degrees north, -84.1542 degrees east). Data were collected in support of nearby Cladophora and benthic algal assessments, as well as to validate hydrodynamic modeling.
Categories: Data;
Tags: Lake Huron,
Limnology,
USGS Science Data Catalog (SDC),
acoustic doppler current profiling,
environment,
This data set includes count, location, and ancillary habitat data for fishes sampled in adjacent reaches of Georgiana Slough, Sacramento River, and Steamboat Slough in the northern Sacramento-San Joaquin Delta. It also includes data on the stomach contents of selected individual black basses (Micropterus). Fishes were sampled by boat electrofishing from approximately January-May, 2020-2022, plus gillnetting in 2020. Samples were collected under a stratified random sampling design. Gillnetting involved short duration (~60 minute) sets of monofilament experimental gill nets. Boat electrofishing involved either single or repeated passes along an individual 300 m shoreline transect. Stomach contents data are from fishes...
Categories: Data;
Tags: Aquatic Biology,
California,
Central Valley Chinook Salmon,
Ecology,
Georgiana Slough,
Lake Erie walleye (Stizostedion vitreum) recruitment fluctuates annually and depends partially on their diet and growth during their first year of life. To determine how age-0 walleye have responded to changes in prey species and abundance, larval and young of year walleye were collected from western Lake Erie in 2019 and 2014. Larval and young of year fish stomachs were extracted and dissected, with prey contents removed for later identification. All prey contents were identified to the lowest possible taxonomic level using a dissecting microscope and counted, with up to 20 prey items from each taxa per fish measured (0.01 mm) using a digital computer image analysis system. Zooplankton prey items were identified...
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