Data is provided for genomic , biogeochemical and weather data for Jackson Lakes in Pensacola Fl. from the fall of 2016 to the fall of 2017. This dataset is associated with the following publication: Rogers, J., R. Devereux, J. James, S. George, and K. Forshay. Seasonal Distribution of Cyanobacteria in Three Urban Eutrophic Lakes Results from an Epidemic-like Response to Environmental Conditions.. CURRENT MICROBIOLOGY. Springer, New York, NY, USA, 78(6): 2298–2316, (2021).

This dataset provides water quality analyses of lake surface samples and river samples collected throughout the ice-free season (May/June to October) from 2016 to 2019 from the Lake St. Clair nearshore, with a focus on the Thames River discharge area. Data includes nutrients and related biological parameters, including: • Phosphorus • Nitrogen • Suspended solids • Chlorophyll • Bacteria • Algal toxins Samples were collected by Ontario’s Ministry of the Environment, Conservation and Parks (MECP) staff. Work was conducted in collaboration and partnership with Environment and Climate Change Canada (ECCC), the Great Lakes Institute of Ecosystem Research (GLIER, University of Windsor), Lower Thames Valley Conservation Authority (LVTCA) and the National Oceanic and Atmospheric Administration (NOAA). Keywords: Lake St. Clair, Thames River, Detroit River, Lake Erie, Water Quality, Nearshore, Cyanobacteria, Cyanotoxins, Phosphorus, Nutrients, Eutrophication, algal blooms

This dataset contains quantitative results of environmental DNA water samples from a diverse set of aquatic habitats, including small creeks in Idaho and Montana, a large river in Wisconsin, and an experimental pond in Florida. The frequency of daily sampling was randomly assigned, without duplication, each week to one of four levels: one survey event per day, two survey events per day every 6 hr, three survey events per day every 4 hr, and four survey events per day every 3 hr.

This data set includes flow cytometry data for planktothrix in samples collected from Gran Lake St. Marys and downstream waterways in 2025

Manitowoc R UVDOC data 2011. This dataset is associated with the following publication: Williamson, C., S. Madronich, A. Lal, R. Zepp, R. Lucas, E. Overholt, K. Rose, S.G. Schladow, and J. Lee-Taylor. Altmetric: 165More detail Article | OPEN Climate change-induced increases in precipitation are reducing the potential for solar ultraviolet radiation to inactivate pathogens in surface waters. Scientific Reports. Nature Publishing Group, London, UK, 7: 13033, (2017).

This data set includes flow cytometry data for planktothrix in samples collected from Grand Lake St. Marys and downstream waterways in 2024.

This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulting in a total of 87 environmental, 95 field replicate, and 15 field blank samples. Of the 158 chemicals analyzed, 23 chemicals were detected in at least one regular sample. Detections per site ranged from 0 to 12 chemicals at concentrations of 1.56 to 30900 nanograms per liter. Sample collection and analysis was performed by the U.S. Geological Survey and summarized in the associated journal article (https://doi.org/10.1002/etc.5403). More detailed method descriptions will be published in the future.

This dataset compiles surface water chemistry data from 1980 to 2020 and will be updated annually with an approximate lag time of one year. Data are collected in four regions in the eastern United States (Virginia streams, New York lakes and streams, Maine and New Hampshire lakes, and Vermont lakes). These data are used to calculate trends in surface water chemistry to assess aquatic ecosystem response to changes in sulfur and nitrogen deposition. Water chemistry in this data can be influenced by the ambient flow conditions. To be included in the dataset, sites needed to have regular sampling (at least once per year for 20 years). Citation information for this dataset can be found in Data.gov's References section.