This dataverse contains the various data sets analyzed in the preprint "Characterization of a novel, low-cost, scalable vaporized hydrogen peroxide system for sterilization of N95 respirators and other COVID-19 related personal protective equipment," which can be found at https://www.medrxiv.org/content/10.1101/2020.06.24.20139436v1.
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1 to 10 of 12 Results
Fluid resistance
Feb 14, 2022
COVID-19 Response Team, 2022, "Fluid resistance", https://doi.org/10.7910/DVN/0CHMKK, Harvard Dataverse, V1, UNF:6:KCRdGMb4AO1uk6DXnzytog== [fileUNF]
Testing hydrophobicity through the water droplet method
Hydrophobicity_Comparison.tab
Feb 14, 2022 - Fluid resistance
Tabular Data - 1.1 KB - 6 Variables, 22 Observations - UNF:6:KCRdGMb4AO1uk6DXnzytog==
Filtration Testing
Jan 25, 2022
COVID-19 Response Team, 2022, "Filtration Testing", https://doi.org/10.7910/DVN/9UMNZL, Harvard Dataverse, V1, UNF:6:gFtOw5itBoe8D6eNyAFGrQ== [fileUNF]
Filtration efficiency testing for N95 swatches before and after treatment
sample result(1).tab
Jan 25, 2022 - Filtration Testing
Tabular Data - 8.8 KB - 76 Variables, 10 Observations - UNF:6:yawonfFZokkBmquGpnEbbg==
sample result(2).tab
Jan 25, 2022 - Filtration Testing
Tabular Data - 8.6 KB - 68 Variables, 10 Observations - UNF:6:xIVi8LxLOOhXctRqtadjEg==
sample result(3).tab
Jan 25, 2022 - Filtration Testing
Tabular Data - 16.1 KB - 68 Variables, 16 Observations - UNF:6:PX/h7RgZnd/aDouPtP4bow==
sample result(4).tab
Jan 25, 2022 - Filtration Testing
Tabular Data - 30.8 KB - 68 Variables, 29 Observations - UNF:6:3+CF/CK1b4H0LPKsc6H7pw==
sample result(5).tab
Jan 25, 2022 - Filtration Testing
Tabular Data - 8.6 KB - 68 Variables, 10 Observations - UNF:6:DFNiSuMuY3Yl/6//IBwPsg==
Chamber Characterization
Jan 25, 2022
COVID-19 Response Team, 2022, "Chamber Characterization", https://doi.org/10.7910/DVN/Z8ZFQI, Harvard Dataverse, V1
Calibration curve for H2O2 solutions 0-5% and results from experiments run for commercially available H2O2 3% weight fraction solution.
05-21-2020(1).pptx
Jan 25, 2022 - Chamber Characterization
MS Powerpoint - 35.1 KB - MD5: 9ee4f4fd0c70f2851504d291b008a927
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