The data include sequences, qPCR, RT-qPCR, water nutrients and cyanotoxins.

This dataset is the evaluation of eutrophication in rivers based on quantitative polymerase chain reactions (qPCRs) of phytoplankton. The qPCR data of 2017, 2018, and 2019 are included in the current dataset. The 2917, 2018, and 2019 physicochemical and biological data generated by the USGS are also included in the current file. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. qPCR-based phytoplankton abundance and chlorophyll a: A multi-year study in twelve large freshwater rivers across the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 954: 175067, (2024).

The dataset including qPCR and sequences is used for cyanobacterial characterization and qPCR assay evaluation. This dataset is associated with the following publication: Jeon, Y., I. Struewing, K. McIntosh, M. Tidd, L. Webb, H. Ryu, H. Mash, and J. Lu. Spatial and Temporal Variability of Saxitoxin-Producing Cyanobacteria in U.S. Urban Lakes. Toxins. MDPI, Basel, SWITZERLAND, 16(2): 70, (2024).

(1) qPCR and RT-qPCR for cyanotoxin producing genes, and (2) some water quality parameters. This dataset is associated with the following publication: Duan, X., C. Zhang, I. Struewing, X. Li, H. Allen, and J. Lu. Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 830: 154568, (2022).

Spatial reconnaissance of fluvial microcystins (MC) concentrations and select water-quality parameters, including nutrients and periphyton biomass, in 75 wadeable streams in the Piedmont region of the southeastern USA during 2014. Data set includes only those data specifically discussed in the associated journal article: Loftin, K.A., Clark, J.M., Journey, C.A., Kolpin, D.W., Van Metre, P.C., and Bradley, P.M., 2016, Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA: Environmental Toxicology and Chemistry, http://dx.doi.org/10.1002/etc.3391.

Spatial reconnaissance of fluvial microcystins (MC) concentrations and select water-quality parameters, including nutrients and periphyton biomass, in 75 wadeable streams in the Piedmont region of the southeastern USA during 2014. Data set includes only those data specifically discussed in the associated journal article: Loftin, K.A., Clark, J.M., Journey, C.A., Kolpin, D.W., Van Metre, P.C., and Bradley, P.M., 2016, Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA: Environmental Toxicology and Chemistry, http://dx.doi.org/10.1002/etc.3391.

This data release links benthic macroinvertebrate sites to both the NHDPlus Version 2 and NHDPlus High Resolution Region 02 networks, hereafter referred to as V2 and HR, using the hydrolink methodology. Linked benthic macroinvertebrate sites are those included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin (ICPRB) and available from the Chesapeake Bay Program (https://datahub.chesapeakebay.net/LivingResources). The data set contains a unique sample identifier created by ICPRB, survey program, coordinates of sample, linked V2 COMID and HR Permanent Identifier, and information regarding uncertainty in the attribution. We strongly caution the use of sampling points with attribution uncertainty to avoid spurious attribution of geospatial data to benthic macroinvertebrate samples.

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 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.