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LT3 Peat Smoke Extract Aspiration - All data
Raw data for all figures and supplementary figures. This dataset is associated with the following publication: Thompson, L., Y. Kim, B. Martin, A. Ledbetter, J. Dye, M. Hazari, I. Gilmour, and A. Farraj. Pulmonary Exposure to Peat Smoke Extracts in Rats Decreases Expiratory Time and Increases Left Heart End Systolic Volume. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(11-12): 439-447, (2019).
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Peat Smoke High Fat All data Feb2018.xlsx
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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).
burnpit computational data
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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 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).
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).
Dataset: Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice
공공데이터포털
The dataset consists of 2 revised files. The excel file shows all of the individual data used in calculation of the tables and figures. Each table and figure has data stored on a separate tab of the file. The zip file consists of 5 GraphPad Prism files which show the statistics and graphs used in the paper. The names of the 5 files indicate which figures and tables are analyzed statistically and the graphs generated from the data. This dataset is associated with the following publication: Hargrove, M., Y.H. Kim, C. King, C. Wood, M. Gilmour, J. Dye, and S. Gavett. Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(6): 236-247, (2019).
Burn pit smoke condensate-mediated toxicity in human airway epithelial cells
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Data include assessment of transepithelial electrical resistance, lactate dehydrogenase, toxicity scores, pro-inflammatory cytokines, and modulation of gene expression in human airway epithelial cells exposed to burn pit smoke condensates. This dataset is associated with the following publication: Ghosh, A., A. Payton, S. Gallant, K. Rogers, T. Mascenik, E. Hickman, C. Love, K. Schichlein, T. Smyth, Y.H. Kim, J. Rager, M. Gilmour, S. Randell, and i. Jspers. Burn pit smoke condensate-mediated toxicity in human airway epithelial cells. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 37(5): 791-803, (2024).
Field emission image of wood smoke
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Electron microscope image of wood smoke. This dataset is associated with the following publication: Abzhanova, A., J. Berntsen, E. Pennington, L. Dailey, S. Masood, I. George, N. Warren, J. Martin, M. Hays, A. Ghio, J. Weinstein, Y.H. Kim, E. Puckett, and J. Samet. Monitoring Redox Stress in Human Airway Epithelial Cells Exposed to Woodsmoke at an Air-Liquid Interface. Particle and Fibre Toxicology. BioMed Central Ltd, London, UK, 21: 14, (2024).
Data for "Evaluation of different techniques for plume height injection in air quality models"
공공데이터포털
This dataset contains the data for figures in the paper "An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models". Only figures 5,6,7,8,9,10,11,12,13 have data associated with them. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, T. Pierce, A. Soja, H. Choi, E. Gargulinski, R. Gilliam, J. Vukovich, and M. Landis. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 31(2): 193-211, (2022).
Data for "Evaluation of different techniques for plume height injection in air quality models"
공공데이터포털
This dataset contains the data for figures in the paper "An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models". Only figures 5,6,7,8,9,10,11,12,13 have data associated with them. This dataset is associated with the following publication: Wilkins, J., G. Pouliot, T. Pierce, A. Soja, H. Choi, E. Gargulinski, R. Gilliam, J. Vukovich, and M. Landis. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models. International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria, AUSTRALIA, 31(2): 193-211, (2022).
DRAFT - PM2.5 - Woodheater smoke surveys
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The vector points in this map layer are data collected from Travel BLANkET, EPA Tasmania, Air Section, Department of Primary Industries, Parks, Water and the Environment for the years presented. Included in the layer are: concentrations of PM2.5 in µg-3 as measured by a TSI DustTrak™ DRX Aerosol Monitor 8533; date and local time (AEST) as measured by a GPS unit; external ambient air temperature in °C (from 2012 onwards) as measured by a thermistor; locality derived from a localities layer; latitude and longitude as measured by the on-board GPS unit in WGS84; eastings and northings in GDA94 55G, converted from WGS84 data. Travel BLANkET is a car–based smoke–measurement instrument that is used to map the spatial distribution of smoke in Tasmanian towns and communities. It has mainly been used for winter–time domestic woodsmoke surveys. The rationale for using PM2.5 as a measure of smoke can be viewed at http://epa.tas.gov.au/Documents/BTR_31_overview_OA_compressed_size.pdf. Travel BLANkET consists of a TSI DustTrak™ DRX Aerosol Monitor 8533 in a box with a heated inlet, battery, and local router. Ambient air is sampled via a 1 m teflon tube that extends outside the car. A USB GPS unit allows the measurements to be geo–located. A thermistor is also mounted on the outside of the car, giving ambient temperature. A laptop is used to read these instruments and log data. One data point is collected each 5 seconds on a survey. Surveys were undertaken in and around a selection of Tasmanian towns during the winter months between 2011 and 2017. Most surveys were undertaken on cold, calm nights between 18:00 and 03:00. Due to smoke movement from its source, a data point on the map does not necessarily represent the source of the smoke. More detail concerning the Travel BLANkET can be viewed and downloaded at http://epa.tas.gov.au/Documents/BTR_31_overview_OA_compressed_size.pdf