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In cooperation with the Texas Commission on Environmental Quality (TCEQ), the U.S. Geological Survey (USGS) utilized various field and laboratory methods to determine the presence and concentration of cyanobacteria, cyanotoxins, and taste-and-odor compounds in Texas water bodies. This data release documents the results from water-quality samples collected from 41 water bodies in Texas during 2016–19. Both qualitative and quantitative field and laboratory methods were performed. Analyses included phytoplankton taxonomy, measurements of phytoplankton biomass, and concentrations of cyanotoxins, taste-and-odor compounds, and photosynthetic pigments. Water-quality samples were also collected to provide supporting data...
Tags: Benbrook Lake, Braunig Lake, Caddo Lake, Caruth Lake, Cedar Creek Reservoir, All tags...
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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 U.S. Geological Survey (USGS) data release contains meteorological, water temperature, light (photosynthetically active radiation and illumination), and multichannel fluorescence sensor data from the Finger Lakes Region of New York, during the fall of 2018 and the summer and fall of 2019 and 2020. It also includes all sensor data and associated discrete sample data, at the near surface (top), mid-depth (middle) and near bottom (bottom) depths. Data were collected from three Advanced Monitoring Pilot study platforms in open water at Seneca Lake (USGS station number 425027076564401), Owasco Lake (USGS station number 425327076313601), and Skaneateles Lake (USGS station number 425606076251601) in 2018 and 2019,...
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This data set includes taxonomic data for zooplankton, larval fish, and phytoplankton sampled in Little Holland Tract and Liberty Island Conservation Bank, in the northern Sacramento-San Joaquin River Delta, California. Zooplankton and larval fish were collected with target specific trawl nets and phytoplankton was collected from water grabs. This data release includes all measured environmental parameters.
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This report documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data-collection were conducted over one day in July 2017 when continuous monitoring stations detected elevated chlorophyll concentration and decreasing nitrate concentrations.
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The data release contains data for the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data-collection cruises were conducted over two days in March 2017 during a high flow event when Sacramento Valley flood waters inundate the Yolo Bypass.
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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Milford Lake, Kansas, during May through November 2016. This data release was produced in compliance with the federal open-data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all samples collected at 37 USGS sample locations at Milford Lake. Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.
Categories: Data; Tags: Algae, Division, Freshwater, Genus, Kansas, All tags...
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This U.S. Geological Survey (USGS) data release contains phytoplankton classification and enumeration results from near-surface samples analyzed by imaging flow cytometry and collected as part of a harmful algae bloom (HAB) monitoring study conducted in collaboration with the New York State Department of Environmental Conservation (NYSDEC). Samples were collected biweekly from monitoring platforms in Owasco and Seneca Lakes and one bloom sample site at Emerson Park Boat Launch in Owasco Lake. The platforms were deployed from June-October in 2020. This dataset includes all routine and quality assurance/quality control samples collected at the three sampling locations. Phytoplankton were identified to the lowest possible...
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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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The dataset documents the spatial and temporal variability of nutrients, phytoplankton, and related water quality parameters at high spatial resolution in the Sacramento-San Joaquin River Delta and Suisun Bay of California, USA. The dataset includes nitrate, ammonium, orthophosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data were collected under different environmental/flow conditions in June, July, August, and October of 2020, and May, July, and October of 2021. The data release consists of a .xml document, and .txt and shapefile documents. Descriptions for each document and file are listed in the...
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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, All tags...
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Here we archive data collected during a nitrogen addition field experiment in the Sacramento River Deep Water Ship Channel. Calcium nitrate was added on 8 dates to a segment of the ship channel centered at Navigation Light 74. Prior to and following the nutrient additions, we collected water samples and sensor-based measurements at 7 sites between Navigation Light 70 and 76. Water samples for nutrient analyses were collected in 500 mL High Density Poly Ethylene (HDPE) amber containers from 1 m and 8 m depths using a peristaltic pump. Whole water samples for phytoplankton analysis were collected from 1 m depth in 500 mL clear HDPE containers and immediately preserved with 20 mL of Lugol’s iodine solution (Lugol’s,...
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This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in Suisun Marsh and Suisun Bay in the San Francisco Estuary of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, chlorophyll, blue-green algal pigments, and phytoplankton community structure. Data-collection cruises were conducted under three different environmental/flow conditions between July - September 2018 that coincided with conditions prior to, during, and following the Suisun Marsh Salinity Control Gates Summer Action. The action is part of the Delta Smelt Resiliency...
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Malheur Lake is a shallow, freshwater lake in southeastern Oregon. This data release includes phytoplankton data from three sites located in Malheur Lake collected from 8/8/2018 to 8/11/2020. For each sample collected, the phytoplankton were reported to the lowest taxonomic unit. Phytoplankton biovolume, algal cell concentration, and algal biomass concentration are included. All phytoplankton data were generated by PhycoTech, Inc. The dataset includes two comma-separated values (.csv) files and metadata. The first CSV file includes all of the taxonomic, biovolume, and density information. The second CSV file includes the 111 unique taxa identified.
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This U.S. Geological Survey (USGS) data release provides phytoplankton data collected as part of an advanced harmful algae bloom (HAB) monitoring study conducted in collaboration with the New York State Department of Environmental Conservation (NYSDEC). Samples were collected biweekly in association with continuous monitoring platforms in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York and one opportunistic bloom sample site at Emerson Park Boat Launch in Owasco Lake. The platforms were deployed from May-November in 2019 and June-October in 2020. This dataset includes all routine and quality assurance/quality control samples collected at the four sampling locations on the three lakes: three...
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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from twelve large river sites throughout the United States, from June through October 2019. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes all routine and quality assurance/quality control samples collected as part of a National Water Quality Assessment Project pilot study to describe cyanobacteria and cyanotoxin occurrence in the Nation's large rivers. Phytoplankton were identified to the lowest possible taxonomic level with both abundance (reported as both natural units and cells) and biovolume reported.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Algae, Aquatic Biology, California, Chattahoochee River near Whitesburg, GA, Connecticut, All tags...
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An interdisciplinary and multiagency study was completed to understand harmful algal bloom dynamics by describing the spatial and temporal patterns and drivers of phytoplankton community structure and cyanotoxin and cyanotoxin-gene concentrations in Lake Okeechobee and Okeechobee Waterways in South Florida. The Waterway includes the Caloosahatchee and St. Lucie Rivers which drain the lake westward to the Gulf of Mexico and eastward to the Atlantic Ocean, respectively. Algae and cyanobacteria play crucial roles in aquatic ecosystems, but under favorable environmental conditions certain taxa experience population growth booms resulting in harmful algal blooms. Cyanobacteria are considered the most common bloom-formers...
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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through September 2020. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Phytoplankton were identified to the lowest possible taxonomic level...
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The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta of the Sacramento-San Joaquin River Delta of California, USA. The dataset includes surface mapping, depth profile, and discrete data for nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted over two time periods in July and October 2018 across two flooded islands with dense submerged aquatic vegetation beds. Little Hastings Tract received an herbicide treatment by the California Department of Boating...
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This dataset includes field and lab data for fish, vegetation, zooplankton, phytoplankton, fish diets, and stable isotopes collected during daylight hours in the Sacramento Deep Water Shipping Channel in the Northern Sacramento-San Joaquin Delta, California, USA. This data release includes all measured environmental parameters, animal taxa, and isotope values included in the analysis.


map background search result map search result map Phytoplankton data for Milford Lake, Kansas, May through November 2016 Little Holland Tract and Wildlands Flux Study; Zooplankton, Phytoplankton, and Larval Fish Taxonomic Data, 2017-2018 Physical and Biological Drivers of Fish Populations in the Sacramento Deep Water Shipping Channel, California, 2016-2018 Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs High-Resolution Measurements to Identify Effects of Aquatic Vegetation on Water Quality and Stratification Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020-2021 High-resolution mapping surveys Assessment of nutrients and water-quality constituents at the Sacramento-San Joaquin River Confluence during a phytoplankton bloom in July 2017 Assessment of nutrients and water-quality constituents in the North Delta during Yolo Bypass flooding events in March 2017 Spatial assessment of nutrients and water-quality constituents in Suisun Marsh with the salinity control gate reoperation experiment; a Delta Smelt Resiliency Strategy experiment 2018 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Monthly Phytoplankton Taxonomic Quantification in Lake Okeechobee and the Okeechobee Waterway, Florida, USA, 2019–2021 Water chemistry, vertical profiles, phytoplankton and zooplankton counts, and metabolism calculations in the Sacramento River Deep Water Ship Channel 2019 Owasco Lake, New York, phytoplankton data, October 8, 2019 Phytoplankton Data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019–2020 (ver. 2.1, June 2023) Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through September 2020 (ver. 3.0,  August 2021) Imaging Flow Cytometry Data for Live and Preserved Phytoplankton Samples from Owasco and Seneca Lakes, Finger Lakes Region, New York, 2020 Phytoplankton Data for Malheur Lake, Oregon, 2018-2020 Phytoplankton data for samples collected at twelve large river sites throughout the United States, June through October 2019 Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Field Data for an Evaluation of Sensors for Continuous Monitoring of Harmful Algal Blooms in the Finger Lakes Region, New York, 2018 - 2020 Water chemistry, vertical profiles, phytoplankton and zooplankton counts, and metabolism calculations in the Sacramento River Deep Water Ship Channel 2019 Phytoplankton Data for Malheur Lake, Oregon, 2018-2020 Little Holland Tract and Wildlands Flux Study; Zooplankton, Phytoplankton, and Larval Fish Taxonomic Data, 2017-2018 High-Resolution Measurements to Identify Effects of Aquatic Vegetation on Water Quality and Stratification Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through September 2020 (ver. 3.0,  August 2021) Owasco Lake, New York, phytoplankton data, October 8, 2019 Phytoplankton data for Milford Lake, Kansas, May through November 2016 Physical and Biological Drivers of Fish Populations in the Sacramento Deep Water Shipping Channel, California, 2016-2018 Assessment of nutrients and water-quality constituents in the North Delta during Yolo Bypass flooding events in March 2017 Assessment of nutrients and water-quality constituents at the Sacramento-San Joaquin River Confluence during a phytoplankton bloom in July 2017 Monthly Phytoplankton Taxonomic Quantification in Lake Okeechobee and the Okeechobee Waterway, Florida, USA, 2019–2021 Imaging Flow Cytometry Data for Live and Preserved Phytoplankton Samples from Owasco and Seneca Lakes, Finger Lakes Region, New York, 2020 Spatial assessment of nutrients and water-quality constituents in Suisun Marsh with the salinity control gate reoperation experiment; a Delta Smelt Resiliency Strategy experiment 2018 Field Data for an Evaluation of Sensors for Continuous Monitoring of Harmful Algal Blooms in the Finger Lakes Region, New York, 2018 - 2020 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Phytoplankton Data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019–2020 (ver. 2.1, June 2023) Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020-2021 High-resolution mapping surveys Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs Phytoplankton data for samples collected at twelve large river sites throughout the United States, June through October 2019