This dataverse contains the various data sets analyzed in the preprint "Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases," which can be found at https://www.medrxiv.org/content/10.1101/2020.06.24.20139469v1.
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1 to 5 of 5 Results
Feb 14, 2022
COVID-19 Response Team, 2022, "Validation of ozone concentration produced by generator", https://doi.org/10.7910/DVN/Y0OPIU, Harvard Dataverse, V1, UNF:6:OJPmssTlepAEbAlV3JXqEw== [fileUNF]
Validation of ozone concentration produced by generator with MQ-131
Jan 25, 2022
COVID-19 Response Team, 2022, "Filtration Testing", https://doi.org/10.7910/DVN/46A2EC, Harvard Dataverse, V1, UNF:6:gFtOw5itBoe8D6eNyAFGrQ== [fileUNF]
Filtration efficiency testing for N95 swatches before and after treatment
Jan 25, 2022
COVID-19 Response Team, 2022, "Ozone Safety Testing", https://doi.org/10.7910/DVN/SALTDH, Harvard Dataverse, V1
Ensuring that environmental ozone concentrations remain well below OSHA requirements
Jan 25, 2022
COVID-19 Response Team, 2022, "Biological Validation", https://doi.org/10.7910/DVN/NTW4SU, Harvard Dataverse, V1
First table shows the inactivation of P22 bacteriophages on N95 mask coupons using ozone or vaporized hydrogen peroxide.
Jan 25, 2022
Patterson, John, 2022, "Validation of ozone concentration produced by generator", https://doi.org/10.7910/DVN/HRBWY6, Harvard Dataverse, V1
Data gathered during the validation of ozone concentration produced by generator
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