The data set includes abundance tables obtained after processing 16S rRNA gene sequences and 18S rRNA gene sequences using bioinformatic software. Sequences were extracted from periphyton samples obtained from nutrient diffusing substrate experiments. In addition, the data set includes ambient nutrient concentrations and physical water quality parameters from deployment sites. The data set is zipped with R markdown programs used to generate the publications resulting from the study. This dataset is associated with the following publication: Hagy, J., K. Houghton, D. Beddick, J. James, S. Friedman, and R. Devereux. Quantifying stream periphyton assemblage responses to nutrient amendments with a molecular approach. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(June 2020): 292-308, (2020).

This data set includes water quality data and microbial community abundance tables for periphyton samples from this project. The data set also includes extensive R markdown code used to process the data and generate the results included in the report. This dataset is associated with the following publication: Hagy, J., R. Devereux, K. Houghton, D. Beddick, T. Pierce, and S. Friedman. Developing Microbial Community Indicators of Nutrient Exposure in Southeast Coastal Plain Streams using a Molecular Approach. US EPA Office of Research and Development, Washington, DC, USA, 2018.

This data set includes water quality data and microbial community abundance tables for periphyton samples from this project. The data set also includes extensive R markdown code used to process the data and generate the results included in the report. This dataset is associated with the following publication: Hagy, J., R. Devereux, K. Houghton, D. Beddick, T. Pierce, and S. Friedman. Developing Microbial Community Indicators of Nutrient Exposure in Southeast Coastal Plain Streams using a Molecular Approach. US EPA Office of Research and Development, Washington, DC, USA, 2018.

This dataset contains the results of a literature review of experimental nutrient addition studies to determine which nutrient forms were most often measured in the scientific literature. To obtain a representative selection of relevant studies, we searched Web of Science™ using a search string to target experimental studies in artificial and natural lotic systems while limiting irrelevant papers. We screened the titles and abstracts of returned papers for relevance (experimental studies in streams/stream mesocosms that manipulated nutrients). To supplement this search, we sorted the relevant articles from the Web of Science™ search alphabetically by author and sequentially examined the bibliographies for additional relevant articles (screening titles for relevance, and then screening abstracts of potentially relevant articles) until we had obtained a total of 100 articles. If we could not find a relevant article electronically, we moved to the next article in the bibliography. Our goal was not to be completely comprehensive, but to obtain a fairly large sample of published, peer-reviewed studies from which to assess patterns. We excluded any lentic or estuarine studies from consideration and included only studies that used mesocosms mimicking stream systems (flowing water or stream water source) or that manipulated nutrient concentrations in natural streams or rivers. We excluded studies that used nutrient diffusing substrate (NDS) because these manipulate nutrients on substrates and not in the water column. We also excluded studies examining only nutrient uptake, which rely on measuring dissolved nutrient concentrations with the goal of characterizing in-stream processing (e.g., Newbold et al., 1983). From the included studies, we extracted or summarized the following information: study type, study duration, nutrient treatments, nutrients measured, inclusion of TN and/or TP response to nutrient additions, and a description of how results were reported in relation to the research-management mismatch, if it existed. Below is information on how the search was conducted: Search string used for Web of Science advanced search Search conducted on 27 September 2016. TS= (stream* OR creek* OR river* OR lotic OR brook OR headwater OR tributary) AND TS = (mesocosm OR flume OR "artificial stream" OR "experimental stream" OR "nutrient addition") AND TI= (nitrogen OR phosphorus OR nutrient OR enrichment OR fertilization OR eutrophication)

This dataset contains the results of a literature review of experimental nutrient addition studies to determine which nutrient forms were most often measured in the scientific literature. To obtain a representative selection of relevant studies, we searched Web of Science™ using a search string to target experimental studies in artificial and natural lotic systems while limiting irrelevant papers. We screened the titles and abstracts of returned papers for relevance (experimental studies in streams/stream mesocosms that manipulated nutrients). To supplement this search, we sorted the relevant articles from the Web of Science™ search alphabetically by author and sequentially examined the bibliographies for additional relevant articles (screening titles for relevance, and then screening abstracts of potentially relevant articles) until we had obtained a total of 100 articles. If we could not find a relevant article electronically, we moved to the next article in the bibliography. Our goal was not to be completely comprehensive, but to obtain a fairly large sample of published, peer-reviewed studies from which to assess patterns. We excluded any lentic or estuarine studies from consideration and included only studies that used mesocosms mimicking stream systems (flowing water or stream water source) or that manipulated nutrient concentrations in natural streams or rivers. We excluded studies that used nutrient diffusing substrate (NDS) because these manipulate nutrients on substrates and not in the water column. We also excluded studies examining only nutrient uptake, which rely on measuring dissolved nutrient concentrations with the goal of characterizing in-stream processing (e.g., Newbold et al., 1983). From the included studies, we extracted or summarized the following information: study type, study duration, nutrient treatments, nutrients measured, inclusion of TN and/or TP response to nutrient additions, and a description of how results were reported in relation to the research-management mismatch, if it existed. Below is information on how the search was conducted: Search string used for Web of Science advanced search Search conducted on 27 September 2016. TS= (stream* OR creek* OR river* OR lotic OR brook OR headwater OR tributary) AND TS = (mesocosm OR flume OR "artificial stream" OR "experimental stream" OR "nutrient addition") AND TI= (nitrogen OR phosphorus OR nutrient OR enrichment OR fertilization OR eutrophication)

The data are species counts by location, as well as other environmental variables for each stream location sampled. This dataset is associated with the following publication: Stamp, J., A. Moore, S. Fiske, J. Gerritsen, B. Bierwagen, and A. Hamilton. Effects of Extreme High Flow Events on Macroinvertebrate Communities in Vermont Streams. River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 36(9): 1891-1902, (2020).

This dataset contains site information, watershed land cover, water chemistry, and proportions of fatty acids for periphyton and macroinvertebrates collected from stream sites. This dataset is associated with the following publication: Whorley, S., N. Smucker, A. Kuhn, and J. Wehr. Urbanisation alters fatty acids in stream food webs. FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 64(5): 984-996, (2019).

This dataset contains site information, watershed land cover, water chemistry, and proportions of fatty acids for periphyton and macroinvertebrates collected from stream sites. This dataset is associated with the following publication: Whorley, S., N. Smucker, A. Kuhn, and J. Wehr. Urbanisation alters fatty acids in stream food webs. FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 64(5): 984-996, (2019).

The dataset contain the primary mutagenicity data. It consists of the number of mutant colonies (called revertants) per petri plate at each dose of the water extract as used in the Salmonella (Ames) bacterial mutagenicity assay. The dataset also shows graphically the dose-response curves constructed from the primary data, as well as a table showing the slopes of those curves, which are the mutagenic potencies of the water expressed as revertants/ml-equivalents. This dataset is associated with the following publication: Berninger, J., D. Demarini, S. Warren, J. Simmons, V. Wilson, J. Conley, M. Armstrong, D. Kolpin, K. Kuivila, T. Reilly, K. Romanok, D. Villeneuve, and P. Bradley. Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(15): 8611-8620, (2019).