Particulate matter mass (PM), trace gaseous pollutants, select volatile organic compounds, and meteorology. This dataset is associated with the following publication: Mukerjee, S., L. Smith, R. Long, W. Lonneman, S. Kaushik, M. Colon, K. Oliver, and D. Whitaker. Particulate matter, nitrogen oxides, ozone, and select volatile organic compounds during a winter sampling period in Logan, Utah, USA. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(6): 778-788, (2019).

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).

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).

NOAA hosted data archive for the 2017 Utah Winter Fine Particle Study. This dataset is associated with the following publication: Christie, J., H. Elliott, S.M.O. O’Connell-Lopez, K. Perry, K. Pratt, A.G. Hallar, A. Hrdina, J.G. Murphy, T. Riedel, R. Long, D. Mitroo, J.D. Haskins, and C.J. Gaston. Halogen Production from Playa Dust Emitted from the Great Salt Lake: Implications of the Shrinking Great Salt Lake on Regional Air Quality. ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(3): 480–493, (2025).

The dataset provides simulated PM2.5 concentration estimates over Alaska, U.S. PM2.5 (particulate matter with diameter <= 2.5 microns) concentrations in air (micrograms m-3) are gridded at 0.1-degree resolution for May to September for the years 2001 through 2015. The data were created in a modeling process utilizing the Wildland Fire Emissions Inventory System (WFEIS), the Arctic-Boreal Vulnerability Experiment (ABoVE) Wildfire Date of Burning (WDoB) dataset, and multiple models including the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The data are provided in GeoTIFF format.

This dataset includes CMAQ model output, compiled publicly available observations, and model source code used in "Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks, Alaska, the N. Hemisphere, and the Contiguous United States"

The dataset provides simulated PM2.5 concentration estimates over Alaska, U.S. PM2.5 (particulate matter with diameter <= 2.5 microns) concentrations in air (micrograms m-3) are gridded at 0.1-degree resolution for May to September for the years 2001 through 2015. The data were created in a modeling process utilizing the Wildland Fire Emissions Inventory System (WFEIS), the Arctic-Boreal Vulnerability Experiment (ABoVE) Wildfire Date of Burning (WDoB) dataset, and multiple models including the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The data are provided in GeoTIFF format.

NARSTO_SHEMP_CANADA_PM_COMPOSTION_DATA was obtained between February 14, 2000 and August 1, 2002 during the Study of the Health Effects of the Mix of Urban Air Pollutants (SHEMP). SHEMP was a three-year Toxic Substances Research Initiative study undertaken to advance Canadian knowledge on the possible relationship between PM 2.5 composition and co-pollutants (e.g., NO2, O3) and health effects and on the behavior of PM 2.5 in Canadian cities. The main objectives of this study were to obtain new information on the sources, formation and chemical make-up of PM 2.5 and the critical components of the air pollution mix responsible for health effects. Field measurement studies in Toronto and Vancouver were designed to meet these objectives and to provide the data to test the hypothesis that the organic fraction of PM 2.5 was a critical component with respect to cardio-respiratory disease. In this study, the sources, formation and chemical content of breathable particles in air and the co-occurrence of other air pollutants were investigated. Air samples were collected daily from sites in Toronto and Vancouver over 2-3 years. Chemical content and particle size were determined. Data were also collected on the presence of other air pollutants present in the form of gases (co-pollutants). A small number of samples were analyzed to determine whether the content of specific indicator chemicals in air particles could help find their pollution source (vehicle exhaust, cooking, wood burning etc.). Specific chemicals of breathable particles produced by different types of sources were identified. Similarly, a small number of samples were collected to assess if semi-volatile organic compounds (i.e., chemicals that may evaporate from the particle and are thus often not measured properly) were an important contributor to the mass of breathable particles. The SHEMP study was led by the Air Quality Research Branch of the Meteorological Service of Canada (MSC). The main collaborators were the Environmental Technology Centre of the Environmental Protection Service and the Chemistry Department of the University of Toronto. The breadth of the study also necessitated that many other organizations provide support, such as the Greater Vancouver Regional District, the Pacific Environmental Science Centre and the Ontario Ministry of the Environment. North American Research Strategy for Tropospheric Ozone (NARSTO), which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.

Predictions from the CMAQ model as used in EQUATES for Ann Arbor, Michigan in February and March 2016. Data was used in Andrew L. Holen, Kristen M. Foley, Havala O.T. Pye, Ryan D. Cook, Matthew J. Gunsch, Nathaniel W. May, Katheryn R. Kolesar, Siyuan Wang, Stephen M. McNamara, Kerri A. Pratt, Secondary Ammonium Nitrate Formation on Individual Residential Wood Burning Aerosol in the Wintertime Urban Atmosphere, submitted 2025.

This data set provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e. "concentrations") from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The CARVE flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas abundances. The data were derived from laboratory measurements of whole air samples collected by a Programmable Flask Package (PFP) onboard the CARVE aircraft. Air samples were collected at strategic intervals to coincide with the overflight of a ground site of interest, or when interesting geophysical conditions were encountered. While most of these samples were collected near the surface in the planetary boundary layer (PBL), on almost every flight samples were also collected in the free troposphere. A minimum of 12 flask samples were collected per flight. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division in Boulder, CO, which also analyzes samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.