데이터셋 상세
미국
Wildfire Transcriptomic Similarity Scoring Data
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).
연관 데이터
Raw sequence data
공공데이터포털
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).
burnpit computational data
공공데이터포털
meta data. This dataset is associated with the following publication: Kim, Y.H., J. Rager, I. jaspers, and M. Gilmour. Computational Approach to Link Chemicals in Anthropogenic Smoke Particulate Matter with Toxicity. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 35(12): 2210-2213, (2022).
Data for Martin et al Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry
공공데이터포털
This data set contains the values used to generate the tables and figures in the manuscript. This dataset is associated with the following publication: Martin, W.K., S. Padilla, Y. Kim, M. Hays, D. Hunter, M. Hazari, D. DeMarini, I. Gilmour, and A. Farraj. Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 84(16): 674-688, (2021).
Data and code for "Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States"
공공데이터포털
Analytical dataset and code used to develop the tables and figures in the manuscript entitled "Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States". This dataset is associated with the following publication: Rice, R.B., J.D. Sacks, K.R. Baker, S.D. LeDuc, and J.J. West. Wildland Fire Smoke Adds to Disproportionate PM2.5 Exposure in the United States. ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(2): 215-225, (2025).
Chamber study 2021 measurement data
공공데이터포털
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).
Dataset for emissions estimates from fires in the wildland urban interface
공공데이터포털
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).
Data describing reactive organic carbon and its potential health risk in wildfire smoke v1.0
공공데이터포털
This data archive supports the publication by Pye et al. 2024 applying the CMAQ model to FIREX-AQ field campaign. Links are provided for the standard CMAQ model, CRACMM chemical mechanism, and FIREX-AQ data archive. The zip file contents are described in the README.txt and include the exact CMAQ code used in this work, post processing code in python, code for creating plots, and some intermediate data files.
Peat Smoke High Fat All data Feb2018.xlsx
공공데이터포털
The data set is an excel spreadsheet containing all the raw data used to generate the tables and figures in the manuscript. This dataset is associated with the following publication: Martin, B., L. Thompson, Y. Kim, W. Williams, S. Snow, M. Schladweiler, P. Phillips, C. King, J. Richards, N. Coates, M. Higuchi, I. Gilmour, U. Kodavanti, M. Hazari, and A. Farraj. Acute Peat Smoke Inhalation Sensitizes Rats to the Postprandial Cardiometabolic Effects of a High Fat Oral Load. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 643: 378-391, (2018).
Data used in manuscript "Modeling crop residue burning experiments and assessing the fire impacts on air quality"
공공데이터포털
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).
Wildland Fire Smoke Alters the Composition, Diversity, and Potential Atmospheric Function of Microbial Life in the Aerobiome
공공데이터포털
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).