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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,
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.
Categories: Data;
Tags: Contaminants, HABS,
Finger Lakes,
New York,
Owasco Lake,
Surface-Water Quality Monitoring,
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...
Categories: Data;
Tags: Mississippi River,
USGS Science Data Catalog (SDC),
Water Quality,
chlorophyll a,
dissolved organic matter,
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,...
Categories: Data,
Data Release - Revised;
Tags: CTD measurement,
Great Lakes Region,
Lake Erie,
Lake Huron,
Lake Michigan,
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...
Categories: Data;
Tags: Arkansas,
Hydrology,
Mud Creek,
USGS Science Data Catalog (SDC),
Water Quality,
The U.S. Geological Survey maintains a program of water-quality studies in San Francisco Bay (CA) that began in 1969. This USGS data release archives and makes available all measurements from 1969-2015. Water-quality constituent measurements include salinity, temperature, light attenuation coefficient, and concentrations of chlorophyll-a, dissolved oxygen, suspended particulate matter, and dissolved inorganic nutrients (nitrate, nitrite, ammonium, phosphate and silicate). Since the mid-1990s, sampling was conducted at least monthly at 37 fixed sampling locations along a 145-km transect from lower South San Francisco Bay to the lower Sacramento River. A map and table of sampling locations are included in the Attached...
Categories: Data;
Types: Citation;
Tags: San Francisco Bay, California,
USGS Science Data Catalog (SDC),
chlorophyll-a,
dissolved oxygen,
nutrients,
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,
Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 1, 2017 through September 30, 2022 (water years 2018 through 2022). Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 38 tributaries in the Scituate Reservoir drainage area, Rhode Island. These data were used to calculate instantaneous loads and yields of constituents in reports by the U.S. Geological Survey. Water-quality samples were collected following a strict sampling schedule so that water-quality samples would be representative of various weather conditions. Samples were analyzed at the PWSB water-quality laboratory...
Extended time-series sensor data were collected between 2012 and 2016 in surface water of a tidal salt-marsh creek on Cape Cod, Massachusetts. The objective of this field study was to measure water chemical characteristics and flows, as part of a study to quantify lateral fluxes of dissolved carbon species between the salt marsh and estuary. Data consist of in-situ measurements including: salinity, temperature, pH, dissolved oxygen, redox potential, fluorescent dissolved organic matter, turbidity and chlorophyll. Surface water flow, water level and water elevation data were also measured. The data provided in this release represent a compiled data set consisting of multiple sensor deployments between 2012 and 2016.
Categories: Data,
Data Release - Revised;
Tags: Barnstable County,
Cape Cod,
Commonwealth of Massachusetts,
Falmouth,
Geochemistry,
This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the growing season of 2021 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 PAR, temperature, specific conductivity,...
Transects of near-surface continuous water-quality data and vertical profiles of the same parameters were collected over a 24-hour period from September 7 to September 8, 2023 in the Arthur Kill. The Arthur Kill is a tidal strait located between Staten Island, New York, and Union and Middlesex Counties, New Jersey, and connects Newark Bay to the north and Raritan Bay to the south. It is a major shipping channel for the Port of New York and New Jersey surrounded by industrial and highly developed land. Transects were collected using a Yellow Springs Instruments (YSI) EXO2 series water-quality sonde with a 5-second data collection interval while the boat was in motion. Vertical profiles of water-quality parameters...
This child item data set provides high-resolution, nearshore, spatial water-quality data collected from Skaneateles Lake, New York, on August 23, 2018. 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.
Categories: Data;
Tags: Contaminants, HABS,
Finger Lakes,
New York,
Skaneateles Lake,
Surface-Water Quality Monitoring,
Problem Sediment transport is a serious concern in the upper Esopus Creek watershed. The creek is a well-documented source of sediment and turbidity to the Ashokan Reservoir, which is part of the New York City water supply system. During the last 2 decades there has been a series of stream stabilization and sediment reduction projects completed in the upper Esopus Creek watershed intended to reduce the suspended sediment load and turbidity levels delivered to the reservoir. During the last 7 years there has been a concerted effort to measure the effect of these projects on turbidity and suspended sediment. There is currently a large, long-term turbidity and suspended sediment study underway within the upper Esopus...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cooperative Water Program,
Environments,
Esopus Creek, Ashokan Reservoir, Ulster County,
New York,
Sediment,
Introduction The upper Esopus Creek watershed is located in the eastern Catskill Mountains of New York State and covers 497 km2 from Slide Mountain, the highest peak in the Catskills at 1,274 m, to the Ashokan Reservoir at 193 m elevation (fig. 1). Suspended sediment and turbidity are primary water quality concerns in the Ashokan Reservoir watershed, part of the New York City Catskill-Delaware water supply system that supplies more than 10 million people a day with clean drinking water. Stream corridor assessments of tributaries to the Upper Esopus Creek by Ulster County Soil and Water Conservation District, New York City Department of Environmental Protection, and State University of New York at New Paltz summer...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Completed,
Cooperative Water Program,
Esopus Creek,
Groundwater and Streamflow Information,
Groundwater and Streamflow Information,
This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season starting in 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, water 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,...
The use of field-deployable fluorescence sensors to better understand dissolved organic matter concentrations and composition has grown immensely in recent years. Applications of these sensors to critical monitoring efforts have also grown to encompass post-fire monitoring, wastewater tracking, and use as a proxy for various contaminants. Despite the growth, it is well known that these sensors are subject to various interferences and require corrections for temperature, turbidity, and concentration effects. Although temperature corrections are widely applicable across sensors, the turbidity and concentration corrections can be site-specific and/or sensor-specific. The corrections can even be subject to changes in...
Categories: Data;
Tags: DOC,
USGS California Water Science Center,
USGS Science Data Catalog (SDC),
Water Quality,
biota,
The dataset includes water-quality sensor readings collected by the U.S Geological Survey (USGS) from the Caloosahatchee River at the Franklin Lock and Dam and 12 open-air fiberglass tanks filled with Caloosahatchee River water used for mesocosm experiments testing the effects of elevated nutrients on harmful algal bloom (HAB) dynamics. This dataset contains water quality sensor readings from two of eight total independent experiments conducted from June 8-11, 2020 and September 14-17, 2020. Each of the 12 tanks were randomly treated with either ammonium hydroxide, sodium nitrate, sodium phosphate, or left untreated (controls) for a total of three replicates of each treatment. The tanks were treated with incrementally...
Categories: Data;
Tags: Caloosahatchee River,
Florida,
Hydrology,
USGS Science Data Catalog (SDC),
Water Quality,
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 a suction pump autosampler, 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...
Categories: Data;
Tags: Arkansas,
Board Camp Creek,
USGS Science Data Catalog (SDC),
Wolf Pen Gap,
biota,
This dataset provides timeseries of model input and output data and is part of a larger data release of inputs and outputs from a model to predict light at the stream surface and within the water column for 173 streams and rivers across the continental United States. The complete release contains model input data, modeled estimates of light at the stream surface and within the water column, and modeled estimates of gross primary productivity.
This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from the Caloosahatchee River, St. Lucie River and Lake Okeechobee July 15-18 and August 19-22 of 2019, south Florida. Geo-referenced measurements of near surface water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescence of dissolved organic matter were recorded at 5 second intervals and nitrate+nitrite as nitrogen was recorded at 1 minute intervals during water-quality surveys in order to create high resolution water-quality maps of the study area. First posted: April 9, 2020 Revised: December 10, 2020, ver.1.1
Categories: Data;
Tags: Caloosahatchee Canal,
Caloosahatchee River,
Lake Okeechobee,
North Fork Saint Lucie River,
Saint Lucie Canal,
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