This dataset includes water quality data and phytoplankton community composition data collected from 6 sites along Mullica River-Great Bay and 6 sites along Toms River-Barnegat Bay in New Jersey from April-November 2020-2022. All samples were collected from surface waters. Temperature (ºC), salinity (ppt), optical dissolved oxygen (mg/L & percent saturation), pH, and turbidity (FNU), were collected using a YSI multiparameter sonde (EXO2). Two surface grab samples were taken in acid-washed 500 mL amber Nalgene bottles and stored on ice to measure dissolved organic carbon (DOC mg/L), Nitrate/Nitrite (mg/L), Ammonium (mg/L as ion), Ortho-Phosphate (mg/L), Total Phenolic Content (TPC µg/L gallic acid equivalents), and chlorophyll a (mg/L). In 2022, surface water was filtered through a 200 μm mesh and 10 mL transferred to a 15 mL falcon tube with 1% lugols solution to identify phytoplankton community composition using Sedgwick-rafter. The preserved phytoplankton samples were analyzed by identifying plankton in x100 magnification until at least 300 algal cells were counted. Mullica River-Great Bay sites were always collected during ebb tide, while tidal cycle varied for sampling of Toms River-Barnegat Bay.

Surface water quality, water isotope, and phytoplankton enumeration data were collected to evaluate the impact of an Emergency Drought Barrier (EDB) in False River in the Sacramento-San Joaquin Delta. Data were collected on six days during 2022 and 2023 (June 7, June 21, July 27, August 9, October 12, November 30, 2022, and February 21, 2023). Sampling occurred in Franks Tract, Mildred Island, the San Joaquin River, and various sloughs and cuts connecting these water bodies. High-resolution boat-based mapping data and discrete water samples were collected and analyzed for: nitrate, nitrite, ammonium, soluble reactive phosphorus (orthophosphate), total dissolved nitrogen, total dissolved phosphorus, total phosphorus, total particulate carbon and nitrogen, water isotopes (2H and 18O), dissolved organic carbon, chlorophyll a, and phytoplankton enumeration (microscopy).

Surface water quality, water isotope, and phytoplankton enumeration data were collected to evaluate the impact of an Emergency Drought Barrier (EDB) in False River in the Sacramento-San Joaquin Delta. Data were collected on six days during 2022 and 2023 (June 7, June 21, July 27, August 9, October 12, November 30, 2022, and February 21, 2023). Sampling occurred in Franks Tract, Mildred Island, the San Joaquin River, and various sloughs and cuts connecting these water bodies. High-resolution boat-based mapping data and discrete water samples were collected and analyzed for: nitrate, nitrite, ammonium, soluble reactive phosphorus (orthophosphate), total dissolved nitrogen, total dissolved phosphorus, total phosphorus, total particulate carbon and nitrogen, water isotopes (2H and 18O), dissolved organic carbon, chlorophyll a, and phytoplankton enumeration (microscopy).

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 provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. 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 the potential for cyanobacteria and cyanotoxin occurrence in the Nation's large rivers. Phytoplankton were identified to the lowest possible taxonomic level and abundances (density reported as natural units) are reported.

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. 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 the potential for cyanobacteria and cyanotoxin occurrence in the Nation's large rivers. Phytoplankton were identified to the lowest possible taxonomic level and abundances (density reported as natural units) are reported.

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. 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 the potential for cyanobacteria and cyanotoxin occurrence in the Nation's large rivers. Phytoplankton were identified to the lowest possible taxonomic level and abundances (density reported as natural units) are reported.

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through October 2018. 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 and abundance (reported as both natural units and cells) is reported.

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through October 2018. 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 and abundance (reported as both natural units and cells) is reported.