Data from: Expiratory aerosol particle escape from surgical masks due to imperfect sealing

The dataset provided here is associated with the work "Expiratory aerosol particle escape from surgical masks due to imperfect sealing," by Cappa et al, currently available as a preprint at https://doi.org/10.21203/rs.3.rs-142138/v1. This includes measurements made of the influence of surgical masks and leakage flows out the mask sides on the emission of micron-scale aerosols from various expiratory activities (coughing, speaking). The dataset provided here includes *.txt files exported from an Aerodynamic Particle Sizer that contain time-series of the abundance of particles, by size (in particles per second), measured in the breath of study participants across experiments wherein people were either talking or coughing. Also, *.txt files of the measured amplitude of the speech or coughing associated with these activities are provided. Data are provided for conditions when people were not wearing any masks or were wearing surgical masks. For wearing of surgical masks, data are provided for participants speaking or coughing while in various physical orientations with respect to the sampling instrument. Further details, including the file naming scheme, are provided in the associated Read Me file and the Usage Notes. All personally identifying information has been removed.Files Provided: Provided for each participant/mask type/expiratory activity are the following files: (i) a text (.txt) file containing the tab-delimited exported files from the APS. Particle sizes are in microns; the smallest size includes all particles measured below that size. Particle counts are given for each size every second. The APS data were exported from the TSI, Inc. AIM software as tab delimited. The file structure for these files is provided below. These files are located in subfolders named by participant ID (e.g., "M1" or "F1") and have the naming structure YYYY_ZZZZ_FX or YYYY_ZZZZ_MX, where X is the participant number (1-11), YYYY is the designator for each mask type (NoMask or SUR = surgical mask), and ZZZZ is the activity (Talk, Cough). (ii) a .txt file containing the microphone signals (amplitude, in volts) recorded during the activity. The time-interval between points is 2.26757e-5 seconds. These files are provided for both the talking and coughing activities. For coughing, the total time per file is 30 seconds. For talking, the total time per file is variable and depends on the amount of time it took for the reading, but is around 100 seconds. There is only one column per file. These files are located in subfolders named by participant ID (e.g., "M1" or "F1") and have the naming structure wav_YYYY_ZZZZ_FX or wav_YYYY_ZZZZ_MX, where X is the participant number (1-11), YYYY is the designator for each mask type (NoMask or SUR = surgical mask), and ZZZZ is the activity (Talk, Cough). (iii) A copy of the code used to process the loaded data. All analysis was performed in Igor Pro (v. 8.04, Wavemetrics). The above *.txt files are located in subfolders named by participant ID (e.g., "M1" or "F1") and have the naming structure YYYY_ZZZZ_FX or YYYY_ZZZZ_MX, where X is the participant number (1-11), YYYY is the designator for each mask type (NoMask or SUR = surgical mask), and ZZZZ is the activity (Talk, Cough). Data were processed using Igor Pro (v. 8.04, Wavemetrics). The data are available as a single zip file for download. All personal identifiers have been removed. Folder structure: Breath = folder containing data associated with breathing Cough = = folder containing data associated with coughing File structure for APS data files: Line 1: The sample time for each spectrum, in seconds (here, 1 second) Line 2: The assumed particle density entered in the AIM software, in g/cm^3 Line3: An indication of whether the Stokes correction was applied, off or on Line 4: The lower bound size of the smallest particles bin, in microns Line 5: The upper bound size of the largest particle bin, in microns Line 6: The Sample Number Line 7: The date of sample measurement (M/D/YYYY) Line 8: The start time of the sample measurement, in local time Line 9: First column = Aerodynamic Diameter label, Other columns = Raw Counts Line 10-61: First Column = the bin-center particle aerodynamic diameter, in microns Line 10-61: Other columns = the raw counts, in particles per sample time (here, particles/second) Line 62-85: Ancillary information (not used) Additional files are provided summarizing the data shown in Figures 2 and 3. Both text and Excel files are provided for convenience. Figure2.txt: contains the average particle emission rates (in particles per second) for talking or coughing for each participant Figure3.txt: contains the particle size distributions averaged over all participants for each orientation. The diameter is the aerodynamic diameter (in microns) and the size distributions are in dN/dlogDp, with units p/sExperiment Description: Participants were asked to perform various expiratory activities (breathing, speaking, coughing) while wearing no mask or a mask or surgical mask). Study participants performed these activities in front of a funnel connected to an aerodynamic particle sizer (APS), which measured the size-dependent aerosol concentration. Size-dependent concentrations were measured every 1-second during the activities. Additionally, the intensity and duration of the talking and coughing activities were measured using a calibrated microphone. The APS was located in a HEPA-filtered laminar flow hood to reduce background counts to near zero. Participants performed activities in different orientations with respect to their position in front of the funnel. These included: No mask: facing straight on, wearing no mask Forward: facing straight on, wearing mask Top: Head tilted downwards to have bridge of nose in front of funnel, wearing mask Side: Head turned sideways to have edge of mask against cheek in front of funnel, wearing mask Bottom: Head tilted upwards or above funnel to have chin area in front of funnel, wearing mask Further details are provided in the associated manuscript (Cappa et al., submitted), currently available as a preprint here: https://www.researchsquare.com/article/rs-142138/v1 with DOI 10.21203/rs.3.rs-142138/v1