LMR watershed temporal DNA metabarcoding 2016 study. This dataset is associated with the following publication: Smucker, N., E. Pilgrim, H. Wu, C. Nietch, J. Darling, M. Molina, B. Johnson, and L. Yuan. Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 831: 154960, (2022).

This file includes the following data for 25 stream sites in the Little Miami River watershed: diatom operational taxonomic units with their numbers and relative abundances of rbcL gene sequence reads, watershed land cover, and nutrient concentration and conductivity data. This dataset is associated with the following publication: Yuan, L., N. Smucker, C. Nietch, and E. Pilgrim. Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 41(1): 100-112, (2022).

This file includes the following data for 25 stream sites in the Little Miami River watershed: diatom operational taxonomic units with their numbers and relative abundances of rbcL gene sequence reads, watershed land cover, and nutrient concentration and conductivity data. This dataset is associated with the following publication: Yuan, L., N. Smucker, C. Nietch, and E. Pilgrim. Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 41(1): 100-112, (2022).

Raw data associated with this research. This dataset is associated with the following publication: Yuan, L., R. Mitchell, E. Pilgrim, and N. Smucker. Inferences based on diatom compositions improve estimates of nutrient concentrations in streams. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 952: 176032, (2024).

These raw data associated with this research were collected as part of the United States Environmental Protection Agency's 2018-2019 National Rivers and Streams Assessment (NRSA). The worksheet "Water chemistry data" includes environmental variables examined in this study including total phosphorus (TP), total nitrogen (TN), conductivity, pH, and ecoregion. The worksheet "Diatom ASVs" includes relative abundances of gene sequence reads for each amplicon sequence variant (ASV), which are referred to as taxa. This dataset is associated with the following publication: Smucker, N., E. Pilgrim, C. Nietch, L. Gains-Germain, C. Carpenter, J. Darling, L. Yuan, R. Mitchell, and A. Pollard. Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 939: 173502, (2024).

Raw data associated with EPA 2018-2019 National Rivers and Streams Assessment Diatom Diversity and Phosphorus Study. This dataset is associated with the following publication: Yuan, L., R. Mitchell, A. Pollard, C. Nietch, E. Pilgrim, and N. Smucker. Understanding the effects of phosphorus on diatom richness in rivers and streams using taxon–environment relationships. FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 68(3): 473-486, (2023).

Raw data associated with EPA 2018-2019 National Rivers and Streams Assessment Diatom Diversity and Phosphorus Study. This dataset is associated with the following publication: Yuan, L., R. Mitchell, A. Pollard, C. Nietch, E. Pilgrim, and N. Smucker. Understanding the effects of phosphorus on diatom richness in rivers and streams using taxon–environment relationships. FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 68(3): 473-486, (2023).

DNA barcoding gene sequences and files associated with their analysis

River-to-lake transitional zones or rivermouths are biogeochemically active sections of the aquatic continuum that are often understudied compared to their adjoining environments. Internal nutrient loading from these transitional zones may be a considerable source of nutrients to lakes and disconnect upstream management initiatives from in-lake improvements. To contextualize internal nutrient loading by rivermouth sediments, we conducted sediment core incubations and nutrient assays at three timepoints over a growing season (2021) in the Maumee Rivermouth (Toledo, OH). These data can be used along to estimate nutrient processing rates within the Maumee Rivermouth.