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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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Nutrient and phytoplankton data indicate poor environmental health in four oxbow lakes in central Louisiana suggesting that long-term agriculture practices and increases in shoreline development have accelerated eutrophication. Surface-water quality and phytoplankton indicators of eutrophication were examined at Lake Bruin, Lake St. John, Lake St. Joseph, and False River Lake along an eutrophication gradient. These oxbow lakes are cut-off meanders of the Mississippi River that do not receive overbank flow from the river due to the levee system built in the early twentieth century. Oxbows have formed at various times in the last few hundred years as the Mississippi River carves a more efficient hydrologic route to...
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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 dataset contains taxonomy, density (cells/mL), and biovolume (μm3/mL) data for phytoplankton sampled across the Sacramento San Joaquin River Delta and San Francisco Bay (Bay-Delta) beginning in 2016. Whole water phytoplankton samples were collected intermittently during special projects and during routine visits to service continuous monitoring stations. Samples were preserved with Lugol’s iodine solution (2-5 %) immediately after collection and stored in a cool, dark environment until analysis. Preserved whole water samples are sent to BSA Environmental Services (BSA) in Beachwood, Ohio for microscopic identification and enumeration. A Leica DMLB compound microscope is used for enumerating filtered phytoplankton...
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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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Nutrient and phytoplankton data indicate poor environmental health in four oxbow lakes in central Louisiana suggesting that long-term agriculture practices and increases in shoreline development have accelerated eutrophication. Surface-water quality and phytoplankton indicators of eutrophication were examined at Lake Bruin, Lake St. John, Lake St. Joseph, and False River Lake along an eutrophication gradient. These oxbow lakes are cut-off meanders of the Mississippi River that do not receive overbank flow from the river due to the levee system built in the early twentieth century. Oxbows have formed at various times in the last few hundred years as the Mississippi River carves a more efficient hydrologic route to...
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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.
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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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Note: This data release has been superseded by version 3.0, available here: http://doi.org/10.5066/P9UGEZPT This U.S. Geological Survey (USGS) data release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through October 2016. 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 near Cheney Dam (USGS station...
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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 San Francisco Bay of California, USA in 2021 and 2022. The dataset includes nitrate, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted under different environmental/flow conditions. Version history: On 3/15/24, the provisional data files hosted on this webpage were removed, and replaced with updated finalized files.


map background search result map search result map Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through October 2016 (ver. 2.0, March 2017) Phytoplankton data for Milford Lake, Kansas, May through November 2016 False River Lake St. John Little Holland Tract and Wildlands Flux Study; Zooplankton, Phytoplankton, and Larval Fish Taxonomic Data, 2017-2018 Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs 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 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 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 Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the San Francisco Bay, California: 2021-2022 High-resolution mapping surveys Phytoplankton Species Composition and Abundance in the Sacramento-San Joaquin River Delta: Microscopic Enumeration of USGS Samples, beginning in 2016 (ver. 1.1, December 2023) Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Cyanobacterial Picoplankton Data Collected from four Kansas Reservoirs during August 2020 through August 2022 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 Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through October 2016 (ver. 2.0, March 2017) False River Owasco Lake, New York, phytoplankton data, October 8, 2019 Lake St. John Phytoplankton data for Milford Lake, Kansas, May through November 2016 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 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 Assessing spatial variability of nutrients, phytoplankton, and related water-quality constituents in the San Francisco Bay, California: 2021-2022 High-resolution mapping surveys 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 Phytoplankton Species Composition and Abundance in the Sacramento-San Joaquin River Delta: Microscopic Enumeration of USGS Samples, beginning in 2016 (ver. 1.1, December 2023) Limnology data from Lake Powell, desert southwest USA (ver. 2.0, Sept. 2023) Cyanobacterial Picoplankton Data Collected from four Kansas Reservoirs during August 2020 through August 2022 Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs