Raw FASTQ data representing wildland fire smoke plume microbiome. This dataset is associated with the following publication: Kobziar, L., D. Vuono, R. Moore, B. Christner, T. Dean, D. Betancourt, A. Watts, J. Aurell, and B. Gullett. Wildland Fire Smoke Alters the Composition, Diversity, and Potential Atmospheric Function of Microbial Life in the Aerobiome. International Society for Microbial Ecology. Nature Publishing Group, London, UK, na, (2022).

Raw sequence data from wildland fire smoke plumes. This dataset is associated with the following publication: Bonfantine, K., D. Vuono, B. Christner, R. Moore, S. Fox, T. Dean, D. Betancourt, A. Watts, and L. Kobziar. Evidence for Wildland Fire Smoke Transport of Microbes From Terrestrial Sources to the Atmosphere and Back. Journal of Geophysical Research: Biogeosciences. American Geophysical Union, Washington, DC, USA, 120(9): e2024JG008236, (2024).

The data includes PM2.5 emission factors from prescribed forest fires at Fishlake National Forest, Utah, USA. Portions of this dataset are inaccessible because: The non-generated data was not commissioned by EPA. They can be accessed through the following means: By contacting the creator lkobziar@uidaho.edu. Format: Data were created by Leda Kobizar and is publicly available upon request. This dataset is associated with the following publication: Kobziar, L., P. Lampman, A. Tohidi, A. Kochanski, A. Cervantes, A. Hudak, R. McCarley, B. Gullett, J. Aurell, R. Moore, D. Vuono, B. Christner, A. Watts, J. Cronan, and R. Ottmar. Bacterial Emission Factors: A Foundation for the Terrestrial-Atmospheric Modeling of Bacteria Aerosolized by Wildland Fires. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58: 2413-2422, (2024).

High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).

Data contains various indicators of vulnerability to wildfire smoke exposure and health effects. This dataset is associated with the following publication: Jung, J., J.L. Wilkins, C.L. Schollaert, Y.J. Masudae, J.C. Flunkerd, R.E. Connolly, S.M. D’Evelynd, E. Bonilliab, A. Rappold, R.D. Haugo, M.E. Marlierf, and J.T. Spector. Advancing the Community Health Vulnerability Index for Wildland Fire Smoke Exposure. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 906: 167834, (2024).

This dataset was generated to support the differential expression analysis, transcriptomic similarity scoring analysis, exposure chemistry profiles, mouse pulmonary toxicity measures and associated figures contained within the manuscript. This dataset is associated with the following publication: Koval, L., C. Carberry, Y.H. Kim, E. McDermott, H. Hartwell, I. Jaspers, M. Gilmour, and J. Rager. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring. International Journal of Environmental Science and Technology. Springer, Heidelburg, GERMANY, 56(23): 17131-17142, (2022).

This data set includes the emission factors and emission estimates that are used to generate the figures and tables in the manuscript. This dataset is associated with the following publication: Holder, A., A. Ahmed, J. Vukovich, and V. Rao. Hazardous air pollutants emission estimates from wildfires in the wildland urban interface. PNAS Nexus. Oxford University Press, OXFORD, UK, 2(6): pgad186, (2023).

The data sets includes the data used to generate the figures presented in the manuscript. Each worksheet in the attached file provides data for a specific figure (as labeled). This dataset is associated with the following publication: Zhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 627: 523-533, (2018).

The data sets includes the data used to generate the figures presented in the manuscript. Each worksheet in the attached file provides data for a specific figure (as labeled). This dataset is associated with the following publication: Zhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 627: 523-533, (2018).

Dataset used to generate the figures and tables in manuscript describing the particulate Pb emission factors from wildland fires in the United States. This dataset is associated with the following publication: Holder, A., V. Rao, K. Kovalcik, and P. Virtaranta. Particulate Pb emission factors from wildland fires in the United States. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0, (2023).