This dataset contains measurements of in situ benthic biofilms from rivers of northwest Alaska during summer and fall 2016-2019. Measurements were made using a Benthotorch (bbe Moldaenke, Kiel, Germany) hand-held fluorometer, which distinguishes taxa (cyanobacteria, green algae, diatoms) and provides estimates of standing biomass.

This dataset includes benthic algae community composition data in the Colorado River near Cameo, Colorado, U.S. Geological Survey (USGS) site number 09095500, from 2022 to 2023, and from three sites in the upper White River Basin, Colorado, in 2022. Taxonomic classification of algae species is not known well in theses rivers, and this study was conducted to record different algae species present in each river system. Benthic algae were typically identified as genus or species, and biomass and biovolume were provided for taxa. The U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District, and the Colorado River data collection was funded by the U.S. Geological Survey Water Mission Area as part of the Next Generation Water Observing System Upper Colorado River project.

This dataset includes benthic algae community composition data in the Colorado River near Cameo, Colorado, U.S. Geological Survey (USGS) site number 09095500, from 2022 to 2023, and from three sites in the upper White River Basin, Colorado, in 2022. Taxonomic classification of algae species is not known well in theses rivers, and this study was conducted to record different algae species present in each river system. Benthic algae were typically identified as genus or species, and biomass and biovolume were provided for taxa. The U.S. Geological Survey completed data collection in upper White River Basin in cooperation with the White River Conservation District, and the Colorado River data collection was funded by the U.S. Geological Survey Water Mission Area as part of the Next Generation Water Observing System Upper Colorado River project.

This U.S. Geological Survey (USGS) data release provides benthic algae data collected from the upper White River Basin, Colorado, during August 2020 and July 2021. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes samples collected at 20 USGS water-quality sites. Benthic algae were identified to the lowest possible taxonomic level, and abundance (density) and biovolume are reported.

This U.S. Geological Survey (USGS) data release provides benthic algae data collected from the upper White River Basin, Colorado, during August 2020 and July 2021. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes samples collected at 20 USGS water-quality sites. Benthic algae were identified to the lowest possible taxonomic level, and abundance (density) and biovolume are reported.

In cooperation with the Texas Commission on Environmental Quality (TCEQ), the U.S. Geological Survey (USGS) used various field and laboratory methods to determine the presence and concentration of cyanobacteria, cyanotoxins, and taste-and-odor compounds in selected Texas water bodies. This data release documents the results from water-quality samples collected from 12 water bodies in Texas during water year 2020 (WY20) and 2021 (WY21). A water year is defined as the 12-month period from October 1 through September 30 and is designated by the calendar year in which it ends. 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 and document existing conditions. These supporting data included dissolved solids, major ions, nutrients, and organic carbon. Water-quality samples were analyzed for total cyanotoxin concentrations (anatoxin, cylindrospermopsin, domoic acid, microcystin [total and 10 congeners], nodularin, okadaic acid, and saxitoxin), taste-and-odor compound concentration (2-Methylisoborneo [MIB] and geosmin), chlorophyll a, pheophytin a, major ions (calcium, chloride, fluoride, magnesium, potassium, silica, sodium, and sulfate), and nutrients (nitrogen, phosphorous, and multiple species of each nutrient). Analyses of cyanobacterial and cyanotoxin gene concentrations are included. An In-Situ Aqua TROLL multiparameter sonde was deployed concurrently with a YSI EXO2 multiparameter sonde to provide two sets of field values that can be compared. Each reservoir had one sampling site. At each site, depth-integrated samples were collected using a peristaltic pump integrating through the photic zone. The photic zone is the depth when measured irradiance is 1 percent of the irradiance measured at the surface of the water column. Water-quality field properties were measured using the multiparameter sondes at 1-foot intervals in the water column through the photic zone (the upper layer of a water body where there is sufficient sunlight penetration to support photosynthesis), then at 5-foot intervals to the bottom of the water column. Three rapid-assessment field kits were used to determine semi-quantitative values of three cyanotoxins (anatoxin, cylindrospermopsin, and microcystin) at each sampling site. Chlorophyll-a and pheophytin-a were analyzed by the Trinity River Authority Central Laboratory in Dallas, Texas. Cyanobacterial and cyanotoxin genes were analyzed by the USGS Ohio Water Microbiology Laboratory in Columbus, Ohio. The USGS Organic Geochemistry Research Laboratory in Lawrence, Kansas analyzed for cyanotoxins and taste-and-odor compounds. PhycoTech, Inc. in St. Joseph, Michigan analyzed phytoplankton taxonomy and biomass. Taxonomic names within this data release are from PhycoTech's taxonomic naming convention and may differ from the taxonomic names listed in the Integrated Taxonomic Information System database (ITIS, 2022). Engineering Performance Solutions in Jacksonville, Florida analyzed for MIB and geosmin. Samples were analyzed for suspended solids, nutrients, and major ions by the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado. Water-quality field properties (water temperature, dissolved-oxygen concentration, pH, specific conductance, turbidity, chlorophyll florescence (RFU & density), phycocyanin florescence (RFU & density), irradiance, and Secchi depth) were also measured at each sampling site. NWQL terms "parameter codes" and "parameter descriptions" were retained in the water-quality dataset when referring to water-quality field properties and constituents.

In cooperation with the Texas Commission on Environmental Quality (TCEQ), the U.S. Geological Survey (USGS) used various field and laboratory methods to determine the presence and concentration of cyanobacteria, cyanotoxins, and taste-and-odor compounds in selected Texas water bodies. This data release documents the results from water-quality samples collected from 12 water bodies in Texas during water year 2020 (WY20) and 2021 (WY21). A water year is defined as the 12-month period from October 1 through September 30 and is designated by the calendar year in which it ends. 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 and document existing conditions. These supporting data included dissolved solids, major ions, nutrients, and organic carbon. Water-quality samples were analyzed for total cyanotoxin concentrations (anatoxin, cylindrospermopsin, domoic acid, microcystin [total and 10 congeners], nodularin, okadaic acid, and saxitoxin), taste-and-odor compound concentration (2-Methylisoborneo [MIB] and geosmin), chlorophyll a, pheophytin a, major ions (calcium, chloride, fluoride, magnesium, potassium, silica, sodium, and sulfate), and nutrients (nitrogen, phosphorous, and multiple species of each nutrient). Analyses of cyanobacterial and cyanotoxin gene concentrations are included. An In-Situ Aqua TROLL multiparameter sonde was deployed concurrently with a YSI EXO2 multiparameter sonde to provide two sets of field values that can be compared. Each reservoir had one sampling site. At each site, depth-integrated samples were collected using a peristaltic pump integrating through the photic zone. The photic zone is the depth when measured irradiance is 1 percent of the irradiance measured at the surface of the water column. Water-quality field properties were measured using the multiparameter sondes at 1-foot intervals in the water column through the photic zone (the upper layer of a water body where there is sufficient sunlight penetration to support photosynthesis), then at 5-foot intervals to the bottom of the water column. Three rapid-assessment field kits were used to determine semi-quantitative values of three cyanotoxins (anatoxin, cylindrospermopsin, and microcystin) at each sampling site. Chlorophyll-a and pheophytin-a were analyzed by the Trinity River Authority Central Laboratory in Dallas, Texas. Cyanobacterial and cyanotoxin genes were analyzed by the USGS Ohio Water Microbiology Laboratory in Columbus, Ohio. The USGS Organic Geochemistry Research Laboratory in Lawrence, Kansas analyzed for cyanotoxins and taste-and-odor compounds. PhycoTech, Inc. in St. Joseph, Michigan analyzed phytoplankton taxonomy and biomass. Taxonomic names within this data release are from PhycoTech's taxonomic naming convention and may differ from the taxonomic names listed in the Integrated Taxonomic Information System database (ITIS, 2022). Engineering Performance Solutions in Jacksonville, Florida analyzed for MIB and geosmin. Samples were analyzed for suspended solids, nutrients, and major ions by the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado. Water-quality field properties (water temperature, dissolved-oxygen concentration, pH, specific conductance, turbidity, chlorophyll florescence (RFU & density), phycocyanin florescence (RFU & density), irradiance, and Secchi depth) were also measured at each sampling site. NWQL terms "parameter codes" and "parameter descriptions" were retained in the water-quality dataset when referring to water-quality field properties and constituents.

This dataset contains algal identification and enumeration data for phytoplankton samples collected by the U.S. Geological Survey (USGS) between July 2019 and November 2019 at seven reservoirs across the United States. Reservoirs sampled included Lake Koshkonong, Wisconsin, Pelican Lake, Minnesota, Lake Ida, Minnesota, Pomme de Terre, Minnesota, Lake Emily, Minnesota, Milford Lake, Kansas, and Jordan Lake, North Carolina. The samples were analyzed at the Caribbean - Florida Water Science Center (CFWSC) Phycology Laboratory using morphology-based microscopy methods. This data is part of a larger multi-agency project between the U.S. Environmental Protection Agency, the National Aeronautics and Space Administration, the 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.

This dataset contains algal identification and enumeration data for phytoplankton samples collected by the U.S. Geological Survey (USGS) between July 2019 and November 2019 at seven reservoirs across the United States. Reservoirs sampled included Lake Koshkonong, Wisconsin, Pelican Lake, Minnesota, Lake Ida, Minnesota, Pomme de Terre, Minnesota, Lake Emily, Minnesota, Milford Lake, Kansas, and Jordan Lake, North Carolina. The samples were analyzed at the Caribbean - Florida Water Science Center (CFWSC) Phycology Laboratory using morphology-based microscopy methods. This data is part of a larger multi-agency project between the U.S. Environmental Protection Agency, the National Aeronautics and Space Administration, the 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.

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.