These data include calculated emissions factors for the peat fire data set. PAH, PCDD/PCDFs, BC and other pollutants are included. This dataset is associated with the following publication: Black, R., B. Gullett , I. George , J. Aurell, A. Holder , M. Hays , C. Geron , and D. Tabor. Characterization of Gas and Particle Emissions from Laboratory Burns of Peat. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 132: 49-57, (2016).

These data include calculated emissions factors for the peat fire data set. PAH, PCDD/PCDFs, BC and other pollutants are included. This dataset is associated with the following publication: Black, R., B. Gullett , I. George , J. Aurell, A. Holder , M. Hays , C. Geron , and D. Tabor. Characterization of Gas and Particle Emissions from Laboratory Burns of Peat. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 132: 49-57, (2016).

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).

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).

Evaluation of the performance of low cost particulate matter (PM) sensors for measuring wildfire smoke. Datasets include sensor PM concentrations, reference PM concentrations measured near several wild and prescribed fires across the U.S. This dataset is associated with the following publication: Holder, A., A. Mebust, L. Maghran, M. McGown, K. Stewart, D. Vallano, R. Elleman, and K. Baker. Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke. Sensors. MDPI AG, Basel, SWITZERLAND, 20(17): NA, (2020).

Evaluation of the performance of low cost particulate matter (PM) sensors for measuring wildfire smoke. Datasets include sensor PM concentrations, reference PM concentrations measured near several wild and prescribed fires across the U.S. This dataset is associated with the following publication: Holder, A., A. Mebust, L. Maghran, M. McGown, K. Stewart, D. Vallano, R. Elleman, and K. Baker. Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke. Sensors. MDPI AG, Basel, SWITZERLAND, 20(17): NA, (2020).

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5. Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included. Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 27(10): 684-698, (2018).

This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5. Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included. Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 27(10): 684-698, (2018).