Phytoplankton samples were collected from Lake Pepin (a natural, riverine lake on the Upper Mississippi River) from 2012-2014. The dataset includes phytoplankton community data (i.e., genus, species, biovolume, etc.), as well as zooplankton, rotifer, cladoceran and water quality data.

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 contains a tabular file of phytoplankton abundance and community composition analysis in samples collected from two sites in the Western Lake Erie Basin and one inland lake site in northeast Ohio. Samples were processed by the Ohio Water Microbiology Lab of the U.S. Geological Survey (USGS) and analyzed by BSA Environmental Inc. and during federal fiscal years 2016-2018. The dataset includes phytoplankton taxa (genus and species), division, tally (number of cells counted for each taxa present), density (cells per liter), and total biovolume (cubic micrometers per liter) for each sample collected. These data can be used to assess the community composition of phytoplankton at the sites, identify cyanobacteria species, and determine abundance and biovolume of any known toxin-producing cyanobacteria. The data were part of a larger study, "Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio", in which site-specific multiple linear regression models were developed for eight sites in Ohio−six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs−to quickly predict action-level exceedances for microcystin, a cyanotoxin commonly found in freshwaters, in recreational and drinking waters used by the public.

This dataset contains a tabular file of phytoplankton abundance and community composition analysis in samples collected from two sites in the Western Lake Erie Basin and one inland lake site in northeast Ohio. Samples were processed by the Ohio Water Microbiology Lab of the U.S. Geological Survey (USGS) and analyzed by BSA Environmental Inc. and during federal fiscal years 2016-2018. The dataset includes phytoplankton taxa (genus and species), division, tally (number of cells counted for each taxa present), density (cells per liter), and total biovolume (cubic micrometers per liter) for each sample collected. These data can be used to assess the community composition of phytoplankton at the sites, identify cyanobacteria species, and determine abundance and biovolume of any known toxin-producing cyanobacteria. The data were part of a larger study, "Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio", in which site-specific multiple linear regression models were developed for eight sites in Ohio−six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs−to quickly predict action-level exceedances for microcystin, a cyanotoxin commonly found in freshwaters, in recreational and drinking waters used by the public.

This dataset contains a tabular file of phytoplankton abundance and community composition analysis in samples collected from eight sites in the Western Lake Erie Basin; four sites in Grand Traverse Bay, Lake Michigan; and five sites in Saginaw Bay, Lake Huron. Samples were collected and processed by the Great Lakes Science Center of the U.S. Geological Survey (USGS) and analyzed by BSA Environmental Inc. Lake Erie sample collection spanned years 2014-2018 with some sites sampled throughout this period and other sites sampled in only some years. Sample collection in Grand Traverse Bay, Lake Michigan and Saginaw Bay, Lake Huron occurred in 2015. Sample collection was focused in summer and early fall months and data only represent the community present in these seasons. Site in each basin to represent a gradient of nutrient availability for that basin and are not randomly distributed. The dataset includes phytoplankton taxa (genus and species), division, tally (number of cells counted for each taxa present), density (cells per liter), and total biovolume (cubic micrometers per liter) for each sample collected. These data can be used to assess the community composition of phytoplankton at the sites, identify cyanobacteria species, and determine abundance and biovolume of any known toxin-producing cyanobacteria. The data were part of a larger study and associated water quality and cyanotoxin data are available through the USGS National Water Information System (NWIS) by searching for site numbers.

This dataset contains a tabular file of phytoplankton abundance and community composition analysis in samples collected from eight sites in the Western Lake Erie Basin; four sites in Grand Traverse Bay, Lake Michigan; and five sites in Saginaw Bay, Lake Huron. Samples were collected and processed by the Great Lakes Science Center of the U.S. Geological Survey (USGS) and analyzed by BSA Environmental Inc. Lake Erie sample collection spanned years 2014-2018 with some sites sampled throughout this period and other sites sampled in only some years. Sample collection in Grand Traverse Bay, Lake Michigan and Saginaw Bay, Lake Huron occurred in 2015. Sample collection was focused in summer and early fall months and data only represent the community present in these seasons. Site in each basin to represent a gradient of nutrient availability for that basin and are not randomly distributed. The dataset includes phytoplankton taxa (genus and species), division, tally (number of cells counted for each taxa present), density (cells per liter), and total biovolume (cubic micrometers per liter) for each sample collected. These data can be used to assess the community composition of phytoplankton at the sites, identify cyanobacteria species, and determine abundance and biovolume of any known toxin-producing cyanobacteria. The data were part of a larger study and associated water quality and cyanotoxin data are available through the USGS National Water Information System (NWIS) by searching for site numbers.

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 taxonomic level, and abundance (density reported as both natural units and cells) and biovolume are reported. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with open data requirements to make scientific data associated with USGS research efforts and publications available to the public.

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 taxonomic level, and abundance (density reported as both natural units and cells) and biovolume are reported. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with open data requirements to make scientific data associated with USGS research efforts and publications available to the public.

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 routinely monitored platform sites (one per lake), and one site at the Emerson Park Boat Launch in Owasco Lake where an opportunistic bloom sample was collected. 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 and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements to make scientific data associated with USGS research efforts and publications available to the public. First Posted November 19, 2021 ver. 1.0 Revised April 2023, ver. 2.0 Revised June 2023, ver. 2.1