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These are the datasets used in the paper Ledford, SH, Diamond, J, and L Toran. 2021. Large spatiotemporal variability in metabolic regimes for an urban stream draining four wastewater treatment plants with implications for dissolved oxygen monitoring. PLOS One. The first dataset (DO_QAQC.csv) contains 15- and 30-minute dissolved oxygen concentrations for nine sites in the Wissahickon Creek watershed, monitored from April 1, 2017 to May 8, 2018. Seven sites were monitored by the authors and all data are in 15-minute intervals, while two sites are monitored by the Philadelphia Water Department/USGS except in winter, and data are in 30-minute intervals. All DO data have been through a QAQC process and data that failed the process have been removed. In addition to DO concentration, DO as percent saturation (calculated using temperature), average water depth at the site, and logger type used to collect the DO measurement are reported. The second dataset (StreamMetab_Results.csv) includes results from running the StreamMetabolizer.R code on the DO_QAQC.csv data. Once again, model results that failed the QAQC process have been removed. In addition, diel minimum, maximum, and mean DO concentrations were calculated for each day and are reported here, along with DO amplitude, which is the maximum DO minus minimum. The third sheet (QAQC_Summary.xlsx) summarizes data that were removed from StreamMetab_Results.csv during the QAQC process.
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Ledford SH, JS Diamond, and L Toran. 2021. Large spatiotemporal variability in metabolic regimes for an urban stream draining four wastewater treatment plants with implications for dissolved oxygen monitoring. PLoS ONE 16(8):e0256292. doi:10.1371/journal.pone.0256292.
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