Phtoplankton qPCR Dataset

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The dataset including qPCR, phytoplankton counts and water quality parameters are used for the evaluation of phytoplankton identification and quantification and assessment of eutrophication. This dataset is associated with the following publication: Zhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 235: 119679, (2023).

River-Chla-qPCR dataset

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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).

Dataset Urban Lakes

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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).

River-cyanobacteria-datasets

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Sequence data are used for cyanobacterial community and toxic species analysis. This dataset is associated with the following publication: Linz, D., N. Sienkiewicz, I. Struewing, E.A. Stelzer, J.L. Graham, and J. Lu. Metagenomic mapping of cyanobacteria and potential cyanotoxin producing taxa in large rivers of the United States. Scientific Reports. Nature Publishing Group, London, UK, 13: 2806, (2023).

River-cyanobacteria-datasets

공공데이터포털

Sequence data are used for cyanobacterial community and toxic species analysis. This dataset is associated with the following publication: Linz, D., N. Sienkiewicz, I. Struewing, E.A. Stelzer, J.L. Graham, and J. Lu. Metagenomic mapping of cyanobacteria and potential cyanotoxin producing taxa in large rivers of the United States. Scientific Reports. Nature Publishing Group, London, UK, 13: 2806, (2023).

Longitudinal Microbial Source Tracking Dataset

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Dataset describes measurements of host-associated qPCR genetic markers along with other water quality parameters and precipitation from samples collected at marine, estuary, and freshwater recreational sites. Additional details provided in attached Dataset Description document. “This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”

Full-Scale qPCR FSI in the Tillamook Bay Watershed April 2019

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Fecal source identification qPCR, land use, and weather data used in the manuscript entitled, "Large-Scale Implementation of Standardized Quantitative Real-Time PCR Fecal Source Identification Procedures in the Tillamook Bay Watershed". This dataset is associated with the following publication: Li, X., M. Sivaganesan, C. Kelty, A. Zimmer-Faust, P. Clinton, J. Reichman, Y. Johnson, W. Matthews, S. Bailey, and O. Shanks. Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(6): e0216827, (2019).

Phytoplankton assemblage dynamics in relation to environmental conditions in a riverine lake: Upper Mississippi River

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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.

Phytoplankton assemblage dynamics in relation to environmental conditions in a riverine lake: Upper Mississippi River

공공데이터포털

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.