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These data were compiled during a laboratory experiment showing the turbidity response to increasing silt and clay concentration. The sediment used for the laboratory experiment was collected in the Grand Canyon study area, from the bank of the Little Colorado River, approximately 1 kilometer upstream from its confluence with the Colorado River. The sediment was passed through a 63 µm sieve to isolate the silt-and-clay-size fraction. The silt and clay was completely dried in an oven (at 105 degrees Celsius for 12 hours), weighed, mechanically disaggregated, and added in stages to a measured volume of water to calculate concentration. The sediment was kept in suspension with an electric stirrer and turbidity was...
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From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Contaminants, HABS, Finger Lakes, Limnology, New York, All tags...
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This child item data set provides high-resolution, nearshore, spatial water-quality data collected from Owasco Lake, New York, on June 26 and October 8, 2019. All data are reported as raw measured values. Continuous water-quality monitors were mounted to a boat at approximately 0.5-meters below the water surface and used to measure nitrate, chlorophyll fluorescence (fChl), fluorescent dissolved organic matter (fDOM), dissolved oxygen, specific conductance, phycocyanin fluorescence (fPC), turbidity, pH, and temperature.
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Water depth, turbidity, and current velocity time-series data were collected in Liberty Island Conservation Bank (WVA) in 2017. The turbidity sensors were not calibrated to suspended-sediment concentration at this location. Typically, each zip folder for a deployment period contains two data files from a velocimeter and one data file from a CTD, each of which include data from an optical backscatter sensor. --------- Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with ‘H’ are...
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Water depth, turbidity, and current velocity time-series data were collected in Liberty Island from 2015 to 2017. Depth (from pressure) and velocity were measured in high-frequency (8 Hz) bursts. Burst means represent tidal stage and currents, and burst data can be used to determine wave height, period, and direction, and wave-orbital velocity. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were collected and post-processed. Typically, each zip folder...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised to check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment...
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Water velocities and water-quality constituents were measured along planned survey lines, which were generally perpendicular to the shoreline and spaced 100 meters apart, over an approximately 2.3-mile section of nearshore Lake Erie on June 10-12, 2019 (survey 1), and August 19-21, 2019 (survey 2), using a 1200 kHz acoustic Doppler current profiler (ADCP), a YSI 6920 V2 multiparameter sonde, and a YSI EcoMapper autonomous underwater vehicle (AUV). Water-quality data collected in this area included near-surface and three-dimensional measurements of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin (blue-green algae). The data were geo-referenced with an integrated...
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This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from Milford Lake, Kansas, on May 26, June 9, July 14, July 21, and September 15, 2016. All data are reported as raw measured values and are not rounded to USGS significant figures. Continuous water-quality monitors were used to measure water temperature, specific conductance, turbidity, pH, chlorophyll, phycocyanin, dissolved oxygen, and fluorescent dissolved organic matter (fDOM) at thirty-second intervals at depths of 0.5- and 1.5-meters throughout the lake.
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This dataset includes high-frequency sensor data collected during four consecutive summers from buoys deployed at main channel and backwater sites in Pool 8 of the Upper Mississippi River from 2015-2018. It also includes the event-specific concentration-discharge metrics (hysteresis and slope) calculated by combining the water quality sensor data with discharge data from a nearby USGS gage in Winona, MN (05378500). High-frequency sensor data were collected using water quality buoys (PISCES monitoring platforms; EMM350 Water Monitoring Pontoon Platform | ysi.com | ysi.com; Yellow Springs, Ohio) set up with EXO2 Multiparameter Sondes (YSI, Inc, Yellow Springs, Ohio) to monitor hourly or bi-hourly concentrations of...
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Field measurements of various optical properties of the water column were acquired from a single location on the Kootenai River in northern Idaho, September 26-27, 2017, to support research on remote sensing of rivers, particularly estimation of water depth from passive optical image data. The field measurements included in this data release include several parameters measured with three different instruments. A WetLabs EcoTriplet multi-probe was used to measure the volume scattering coefficient (Beta) at 700 nm, the back-scattering coefficient (b_b) at 700 nm, chlorophyll concentration, colored dissolved organic matter (CDOM) concentration, and turbidity. A Sequoia Scientific LISST-100X was used to measure the...
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The goal of this study was to develop a suite of inter-related water quality monitoring approaches capable of modeling and estimating spatial and temporal gradients of particulate and dissolved total mercury (THg) concentration, and particulate and dissolved methyl mercury (MeHg), concentration, in surface waters across the Sacramento / San Joaquin River Delta (SSJRD). This suite of monitoring approaches included: a) data collection at fixed continuous monitoring stations (CMS) outfitted with in-situ sensors, b) spatial mapping using boat-mounted flow-through sensors, and c) satellite-based remote sensing. The focus of this specific Child Page is to document a series of derived remote sensing products for turbidity...
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This dataset summarizes various sedimentary data from ten U.S. Geological Survey (USGS) surface water sites across the contiguous United States. These sites include: 01648010 Rock Creek at Joyce Road, Washington, DC 05586300 Illinois River at Florence, Illinois 06731000 Cherry Creek below Cherry Creek Lake, Colorado 06807000 Missouri River at Nebraska City, Nebraska 06935965 Missouri River at St. Charles, Missouri 08374550 Rio Grande near Castolon, Texas 08375300 Rio Grande at Rio Grande Village, Big Bend National Park, Texas 09404200 Colorado River above Diamond Creek near Peach Springs, Arizona 11447650 Sacramento River at Freeport, California 12046260 Elwha River at diversion near Port Angeles, Washington The...
The objective of this work is to delineate areas in the Upper Mississippi River System where the combined effects of water clarity and water level fluctuation conditions are not limiting the establishment and persistence of submersed aquatic vegetation. We note that other factors, such as herbivory or high current velocity may actively prevent establishment of submersed aquatic vegetation in areas of the Upper Mississippi River System, and that this analysis is based on physical constraints imposed by water clarity and water level fluctuation only. Total suspended solids information was collected by the Upper Mississippi River Restoration program, and water level information was collected by the United State Army...
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This child item dataset contains a pH raster interpolated from water quality observation points collected during the 2018 survey of the Old Erie Canal. This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
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This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2019 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 at a subset of stations; - measurements of Secchi disk depth and water chemistry; - water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll,...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water Memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and...
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These data were compiled as part of a long-term (1964 - 2022) water quality monitoring program at Lake Powell. Objectives of our study were to release a consistent record of long-term water quality data. The 58-year limnology dataset captures some water quality parameters (temperature, salinity, major ions, total suspended solids) from reservoir filling to present day. It also contains a 38-year record of secchi depth, and a ~30-year record of nutrients, phytoplankton, and zooplankton assemblages. The data were collected from various sites within the Lake Powell reservoir and the Glen Canyon dam. Regular monthly sampling occurred at three sites near the dam and reservoir-wide sampling was generally conducted quarterly,...
Categories: Data, Data Release - Revised; Tags: Arizona, Aztec Creek, Bridge Creek, Cathedral Canyon, Clear Creek, All tags...
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This U.S. Geological Survey (USGS) data release provides water-quality data collected from the Caloosahatchee River and 12 fiberglass tanks located within the Caloosahatchee River. The tanks were open to the atmosphere, and were closed to the river. Tanks were filled with native water within 1-2 hours prior to the first profile collected on May 6, July 8, and September 16. Nutrients were added at approximately 12:00 p.m. on May 6, 11:45 a.m. on July 8, and 11:00 a.m. on September 16. Sodium nitrate was added for the nitrate treatments, sodium phosphate was added for the phosphate treatments, and ammonium hydroxide was added for the ammonium treatments. Nutrient samples were collected and processed by Nova Southeastern...
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Water depth and turbidity time-series data were collected in Little Holland Tract (LHT) from 2015 to 2017. Depth (from pressure) was measured in high-frequency (6 or 8 Hz) bursts. Burst means represent tidal stage, and burst data can be used to determine wave height and period. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were collected and post-processed. Typically, each zip folder for a deployment period contains one file from an optical backscatter...


map background search result map search result map Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 Laboratory experiment data—turbidity response to increasing silt and clay concentration Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island Conservation Bank (station WVA), Sacramento-San Joaquin Delta, California, 2017 Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island (station LVB), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Field measurements of water column optical properties from the Kootenai River in northern Idaho, September 26-27, 2017, and similar data from several other rivers Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2019 Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor pH raster of Old Erie Canal Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 High resolution satellite remote-sensing-based maps of dissolved organic matter and turbidity for the Sacramento-San Joaquin River Delta Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018 Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island Conservation Bank (station WVA), Sacramento-San Joaquin Delta, California, 2017 Water-quality profiles within the Caloosahatchee River and twelve fiberglass tanks, during experimental nutrient addition treatments, 2019 Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 Water-level, wind-wave, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HWC), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island (station LVB), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019 Milford Lake, Kansas spatial water-quality data, May 26, June 9, July 14, July 21, and September 15, 2016 pH raster of Old Erie Canal High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018 High resolution satellite remote-sensing-based maps of dissolved organic matter and turbidity for the Sacramento-San Joaquin River Delta Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Laboratory experiment data—turbidity response to increasing silt and clay concentration Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor