This data includes the results of an interlab methods comparison to recover and quantify SARS-CoV-2 from wastewater. This dataset is associated with the following publication: Pecson, B., E. Darby, C. Haas, Y. Amha, M. Bartolo, R. Danielson, Y. Dearborn, G. DiGiovanni, C. Ferguson, S. Fevig, E. Gaddis, D. Gray, G. Lukasik, B. Mull, L. Olivas, A. Olivieri, Y. Qu, and S. CoV-2. Reproducibility and sensitivity of 36 methods to quantify the SARS-CoV-2 genetic signal in raw wastewater: findings from an interlaboratory methods evaluation in the U.S.. Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge, UK, 7(3): 504-520, (2021).

Effectiveness data of antimicrobial coatings against SARS-CoV-2. This dataset is associated with the following publication: Hardison, R., S. Ryan, R. Limmer, M. Crouse, S. Nelson, D. Barriga, J. Ghere, M. Stewart, S. Lee, B.M. Taylor, R. James, M. Calfee, and M. Howard. Residual Antimicrobial Coating Efficacy against SARS-CoV-2. JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 132(4): 3375-3386, (2022).

Data describes percent losses of SARS-CoV-2 from wastewater. Also details recovery of endogenous SARS-CoV-2 from wastewater using two volumetrically different methods. This dataset is associated with the following publication: McMinn, B., A. Korajkic, A. Pemberton, J. Kelleher, W. Ahmed, and E. Villegas. Assessment of two volumetrically different concentration approaches to improve sensitivities for SARS-CoV-2 detection during wastewater monitoring. JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 311: 114645, (2023).

Decay rates of SARS-CoV-2 and murine hepatitis virus. This dataset is not publicly accessible because: Data is property of CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. It can be accessed through the following means: Contact Warish Ahmed (Warish.Ahmed@csiro.au). Format: No public link available. Data will be in an ecel format. This dataset is associated with the following publication: Ahmed, W., P.M. Bertsch, K. Bibby, E. Haramoto, J. Hewitt, F. Huygens, P. Gyawali, A. Korajkic, S. Riddell, S.P. Sherchan, S.L. Simpson, K. Sirikanchana, E.M. Symonds, R. Verhagen, S.S. Vasan, M. Kitajima, and A. Bivins. Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 191: 110092, (2020).

This dataset contains the raw droplet counts resulting from of ddPCR or RT-ddPCR of nucleic acid extracts from wastewater. The wastewater was collected from three different sewersheds in Southwest Ohio (Mill Creek WWTP, Taylor Creek WWTP, and a sub-sewershed, Lick Run). ddPCR counts (positive droplets and total droplets) are provided for the following targets: N1 and N2 (SARS-CoV-2 nucleocapsid genes), crAssphage, PMMoV, HF183 (all fecal indicators), and OC43 (an RNA spike-in from a cultured coronavirus). Other metadata (pH, flow, temperature, TSS, CBOD5) are provided where available. This dataset is associated with the following publication: Nagarkar, M., S. Keely, M. Jahne, E. Wheaton, C. Hart, B. Smith, J. Garland, E. Varughese, A. Braam, B. Wiechman, B. Morris, and N. Brinkman. SARS-CoV-2 Monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 816: 151534, (2022).

The data sets includes the data used to generate the figures presented in the manuscript. Each worksheet in the attached file provides data for a specific figure (as labeled). This dataset is associated with the following publication: Zhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 627: 523-533, (2018).

excell spreadsheet. This dataset is associated with the following publication: Kim, Y.H., S. Warren, I. Kooter, W. Williams, I. George, S. Vance, M. Hays, M. Higuchi, S. Gavett, D. Demarini, I. Jaspers, and M. Gilmour. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Particle and Fibre Toxicology. BioMed Central Ltd, London, UK, 18(1): 45, (2021).

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