Many of these data files are essentially grid numbers for raster images that were created by software visualizing clouds of air emissions rather than x-y coordinates like you would plot in Excel or a similar software package. The data dictionary describes the data file contents. This dataset is associated with the following publication: Baker, K., S. Lee, P. Lemieux, S. Hudson, B. Murphy, J. Bash, S. Koplitz, K. Nguyen, W.M. Hao, S. Baker, and E. Lincoln. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 795: 148872, (2021).

Data sets used in the analysis presented in the manuscript “Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS”. This data was derived from geospatial data of USDA US Forest Service prescribed fire activity and wildfire activity. The data supporting each of the Figures in the manuscript were provided in a file specific for that Figure. Some figures may have more than one associated file based on the number of panels. Each file is in comma-separated value (csv) format and contains the data used to generate that Figure. This dataset is associated with the following publication: Beidler, J., K. Baker, G. Pouliot, and J. Sacks. Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS. ACS ES&T Air. American Chemical Society, Washington, DC, USA, 1(12): 1687-1695, (2024).

This dataset includes photochemical air quality modeling files for simulations of fire impacts on ground-level ozone cocnentrations in the U.S. during the summer of 2023. A data dictionary describes what is included in the each of the files. Detailed information on the model simulations and the file contents is included in a journal article documenting the dataset: Simon, H., Beidler, J., Baker, K.R., Henderson, B.H., Fox, L., Misenis, C., Campbell, P., Vukovich, J. Possiel, N., Eyth, E. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US, Data in Brief, https://doi.org/10.1016/j.dib.2024.111208 A web-based tool for browsing this dataset is also available at: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember. This dataset is associated with the following publication: Simon, H., J. Beidler, K. Baker, B. Henderson, L. Fox, C. Misenis, P. Campbell, J. Vukovich, N. Possiel, and A. Eyth. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 58: 111208, (2025).

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).

■ 상품 설명 및 특징 - '2024 산림 빅데이터 플랫폼 데이터 기반 분석과제 수행' 사업 중 '산불 예방 계획 수립 방안 분석' 과제의 결과로 도출된 분석용 데이터셋 - 제공되는 데이터는 2023년 1월부터 12월까지의 산불 발생 데이터를 기반으로 산불 발생 요인과 결합한 데이터 - 제공되는 데이터는 웨슬리퀘스트의 데이터 전처리 기술로 정제 가공한 데이터 ■ 기간 및 범위 - 2023년 1월 ~ 2023년 12월 (일단위) - 강원특별자치도, 경상북도, 경기도, 경상남도, 충청남도 5개 지역 ■ 활용 예제 - 본 데이터 상품을 활용하여 사용자는 다음과 같은 정보를 확인할 수 있습니다. 1) 최근 10년간 발생한 산불에 대한 정보 (일시, 피해면적, 진화시간 등) 2) 최근 10년간 발생한 산불의 발생 요인에 대한 정보 (기상, 지형, 인위적 요인 등) [원본 데이터](https://www.bigdata-forest.kr/product/WSQ000301)는 로그인 후 구매하여 다운로드 하십시오.

These are GC-MS data for producing the levoglucosan plot, black carbon data from an aethalometer, time series data of wind speed and normalized PM concentrations. As well as certain particle number and CO concentration data deltas. This dataset is associated with the following publication: Kimbrough , S., M. Hays , B. Preston, D. Vallero , and G. Hagler. Episodic Impacts from California Wildfires Identified in Las Vegas Near-Road Air Quality Monitoring. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(1): 18-24, (2016).

These are GC-MS data for producing the levoglucosan plot, black carbon data from an aethalometer, time series data of wind speed and normalized PM concentrations. As well as certain particle number and CO concentration data deltas. This dataset is associated with the following publication: Kimbrough , S., M. Hays , B. Preston, D. Vallero , and G. Hagler. Episodic Impacts from California Wildfires Identified in Las Vegas Near-Road Air Quality Monitoring. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(1): 18-24, (2016).

The data sets contain the raw and reduced data from the instrument measurements including continuous emission monitoring and stack sampling procedure. This dataset is associated with the following publication: Hao, W.M., S. Baker, E. Lincoln, S. Hudson, S. Lee, and P. Lemieux. Cesium Emissions from Laboratory Fires Article. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 49, (2018).

Wildland fire event polygons for 2004-2017 reconciled in SmartFire 2 for the EPA Air Quality Times Series (EQUATES) modeling project (https://doi.org/10.1016/j.dib.2023.109022). These event polygons represent a combination of properties from a collection of remotely sensed and ground-based fire activity datasets. The primary underlying fire activity datasets for the fire event polygons are the Hazard Mapping System (HMS) remote sense fire product (https://www.ospo.noaa.gov/Products/land/hms.html), SIT-ICS/209 Incident Reports (https://www.wildfire.gov/application/sit209), GeoMAC Fire Event polygons (https://data-nifc.opendata.arcgis.com/datasets/nifc::historic-perimeters-combined-2000-2018-geomac/about), and the Monitoring Trends in Burn Severity (MTBS) burn scar event perimeters (https://www.mtbs.gov/direct-download). This dataset includes events identified as over wildland and does not contain biomass burning events over agricultural areas, such as crop residue field burns. Additionally, certain grass fires, such as the annual prescribed fires in the Flint Hills region, have been removed for inclusion in a separate processing stream. Some minor updates have been made to the dataset since the publishing of the EQUATES emission inventories including removal of known errors related to issues in the underlying activity. This dataset is associated with the following publication: Beidler, J., G. Pouliot, and K. Foley. 2004-2017 Geospatial Dataset of Wild and Prescribed Fire Activity Over the Conterminous United States. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 56: 110856, (2024).

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).