Data from: Efficacy of masks and face coverings in controlling aerosol particle emission from expiratory activities

Participants were asked to perform various expiratory activities (breathing, speaking, coughing, jaw movement) while wearing no mask or a mask or face covering (surgical masks, vented and unvented N95 respirators, homemade paper towel or one or two-layer cotton masks). 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. Further details are provided in the associated manuscript (Asadi et al., to be submitted) or dissertation chapter (Asadi et al., 2020b). There were 11 participants total. Provided here for each participant/mask type/expiratory activity are two 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. (ii) a .wav file containing the microphone signals (in volts) recorded during the activity. These files are provided for only the talking and coughing activities. All files have the naming structure FX_YYYY_ZZZZ or MX_YYYY_ZZZZ, where X is the participant number (1-11) YYYY is the designator for each mask type (KN95, N95, No = no mask, SLP = single-layer paper towel, Surg = surgical, UDLT = double-layer homemade cloth, SDLT = single-layer homemade cloth), and ZZZZ is the activity (Talk, Jaw, Cough, Breath). Files are additionally provided for experiments where the masks were folded and rubbed against themselves to characterize particle shedding. These files have the names Rub_YYYY, where YYYY is again the mask type. Data were processed using Matlab. The data are available as a single zip file for download. All personal identifiers have been removed.

本数据集的受试者需完成多种呼气相关动作（呼吸、说话、咳嗽、下颌运动），期间不佩戴口罩，或佩戴口罩/面部遮盖物（包括外科口罩、带阀及无阀N95防护口罩、自制纸巾口罩，或单层、双层棉质口罩）。受试者站在与空气动力学粒径谱仪（aerodynamic particle sizer, APS）相连的漏斗前完成上述动作，该仪器可测量粒径相关的气溶胶浓度。实验期间，每1秒采集一次粒径相关浓度数据。此外，使用经过校准的麦克风记录说话及咳嗽动作的强度与持续时长。为将背景计数降至接近零，APS被放置在高效微粒空气过滤器（High Efficiency Particulate Air, HEPA）过滤的层流通风橱中。更多细节可参见相关已投稿论文（Asadi等人，待发表）或学位论文章节（Asadi等人，2020b）。本数据集共包含11名受试者的数据。针对每名受试者、口罩类型及呼气动作，提供两类文件：(i) 文本文件（.txt）：包含从APS导出的制表符分隔数据，粒径单位为微米，最小粒径档包含所有小于该粒径的实测颗粒，每一秒记录对应粒径的颗粒数；(ii) .wav格式文件，包含动作期间录制的麦克风信号（单位为伏特），仅针对说话和咳嗽动作提供此类文件。所有文件的命名格式为FX_YYYY_ZZZZ或MX_YYYY_ZZZZ，其中X为受试者编号（1-11），YYYY为口罩类型标识（KN95、N95、No=未佩戴口罩、SLP=单层纸巾口罩、Surg=外科口罩、UDLT=双层自制布口罩、SDLT=单层自制布口罩），ZZZZ为动作类型（Talk=说话、Jaw=下颌运动、Cough=咳嗽、Breath=呼吸）。此外还提供了口罩折叠并相互摩擦以表征颗粒脱落的实验数据，此类文件命名格式为Rub_YYYY，其中YYYY为口罩类型标识。所有数据均使用Matlab进行处理。数据集以单个ZIP压缩包形式提供下载，已移除所有个人身份信息。