We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). Both samplers are modeled after commercial devices such as the Rotorod® and the Burkard® samplers, but are more economical and require less maintenance than commercial devices. We conducted wind tunnel comparisons of our two new samplers to Rotorod® samplers using synthetic polyethylene spheres (12 - 160 µm in diameter) to compare numbers and size range of particulates that are captured by the samplers. This dataset contains raw numbers of polyethylene spheres that were captured by the samplers during eight separate trials in a sealed room with constant recirculating air flow.

Ambient particulate matter organic speciation data from July - August, 2011. This dataset is associated with the following publication: Lynam, M., T. Dvonch, J. Turlington, D. Olson, and M. Landis. Combustion-Related Organic Species in Temporally Resolved Urban Airborne Particulate Matter. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 0(0): 1-33, (2017).

SRM 2585 Organic Contaminants in House Dust - This Standard Reference Material (SRM) is intended for use in evaluating analytical methods for the determination of selected polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyl (PCB) congeners, chlorinated pesticides, and polybrominated diphenyl ether (PBDE) congeners in house dust and similar matrices. All of the constituents for which certified, reference, and information values are provided in SRM 2585 were naturally present in the dust material before processing. A unit of SRM 2585 consists of one bottle containing approximately 10 g of house dust. This data is public in the Certificate of Analysis for this material.

This file has two sheets. Data are measurements by Citizen Science Air Monitors (CSAM) and Federal Monitors, which sampled particulate matter (PM), nitrogen dioxide (NO2), relative humidity (RH), and temperature (T). Variables for each sheet are described in more detail below The sheet “Snorkel No-Snorkel Comparison” includes data from two CSAM units, CSAM-2 and CSAM-3. CSAM-2 used a snorkel tube to sample outdoor air, and CSAM-3 did not use a snorkel tube. CSAM-2 and CSAM-3 were not in the same sampling location, but did sample contemporaneous measurements. These data were used to perform a snorkel and no-snorkel comparison. The sheet “CSAM-1 and Federal Monitor” includes data from a CSAM unit (CSAM-1) and a Federal Monitor (which is used for regulatory measurements of air pollution). CSAM-1 and the Federal Monitor were installed in the same sampling location and recorded contemporaneous measurements. For CSAM-1, original recorded measurements are included, as well as measurements that were corrected (using regression equations) to better reflect the Federal Monitor values. This dataset is associated with the following publication: Barzyk, T., H. Huang, R. Williams, A. Kaufman, and J. Essoka. Advice and Frequently Asked Questions (FAQs) for Citizen-Science Environmental Health Assessments. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 15(5): 960, (2018).

Emission data from UAV flights. This dataset is associated with the following publication: Zhou, X., J. Aurell, B. Mitchell, D. Tabor, and B. Gullett. A small, lightweight multipollutant sensor system for ground-mobile and aerial emission sampling from open area sources. JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 154: 31-41, (2017).

Environment and Climate Change Canada collected ambient air samples from three monitoring sites in Alberta’s oil sands region—Mannix (AMS5), Lower Camp (AMS11), and Fort McKay South (AMS13)—between December 2010 and July 2012. These samples were analyzed for polycyclic aromatic compounds (PACs), including polycyclic aromatic hydrocarbons (PAHs), alkylated PAHs, and dibenzothiophenes (DBTs), in both air and precipitation. Using these measurements, a database of scavenging ratios was developed to quantify the removal of PACs by snow and rain. Since dry deposition cannot be measured directly, air concentrations were used to estimate dry deposition amounts. A dry deposition algorithm was also created and applied to various land cover types surrounding the monitoring sites. The resulting dataset includes: 1. Scavenging ratio statistics for 43 PAC species in snow and rain. 2. Statistics of modeled hourly dry deposition velocities for these PACs over different land cover types during 2011. 3. Seasonal and annual estimates of dry and wet deposition for three groups of PACs (PAHs, Alkylated PAHs, and DBTs) at the three sites. These deposition estimates can be integrated with data on other pollutants to assess cumulative environmental impacts on ecosystems and communities within and downwind of the oil sands region.

Maricopa County partnered with EPA Office of Research and Development to evaluate the utility of sensors to capture wood burning episodes. For this study, PM2.5 sensors were collocated at three air quality monitoring stations within this targeted geographic area. Namely, Durango Complex, West Phoenix, and South Phoenix (designated as DC, WP and SP) for a period of 2 years to better understand sensor performance, comparability with regulatory grade monitors, and to explore drift and changes in performance over time. Approximately 6 months later, phase II began a year+ field study using sensors in a distributed network with FRM/FEM monitors to measure PM2.5 to characterize the impact of local air pollution sources—targeting the wintertime heating season in which wood combustion is the principal air pollutant source of interest; other sensors to be deployed during Phase II include black carbon sensors. The Zenodo link provides raw PM2.5 data collected as part of the P-TAQS study from these PurpleAir sensors and reference instruments deployed at fixed sites at 1-minute time resolution ordered by site and date/time. This ScienceHub entry contains the processed data files used to create the Figures in the manuscript titled "Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors"