Research Data Leeds Repository
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Items where Author is "Conibear, Luke"
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Conibear, Luke and Reddington, Carly L. and Silver, Ben J. and Chen, Ying and Knote, Christoph and Arnold, Stephen R. and Spracklen, Dominick V. (2022) Supplementary Data: Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China using Machine Learning Emulation. University of Leeds. [Dataset] https://doi.org/10.5518/1055
Reddington, Carly L. and Conibear, Luke (2021) Supplementary Data - Air Pollution from Forest and Vegetation Fires in Southeast Asia Disproportionately Impacts the Poor. University of Leeds. [Dataset] https://doi.org/10.5518/968
Conibear, Luke and Reddington, Carly L. and Silver, Ben J. and Chen, Ying and Knote, Christoph and Arnold, Stephen R. and Spracklen, Dominick V. (2021) Supplementary Data - Statistical emulation of winter ambient fine particulate matter concentrations from emission changes in China. University of Leeds. [Dataset] https://doi.org/10.5518/953
Butt, Edward and Conibear, Luke and Knote, Christoph and Spracklen, Dominick V. (2021) Supplementary Data for: Large air quality and public health impacts due to Amazonian deforestation fires in 2019. University of Leeds. [Dataset] https://doi.org/10.5518/1017
Silver, Ben J. and Conibear, Luke and Reddington, Carly L. and Knote, Christoph and Arnold, Steve R. and Spracklen, Dominick V. (2020) Data for 'Pollutant emission reductions deliver decreased PM2.5-caused mortality across China during 2015–2017'. University of Leeds. [Dataset] https://doi.org/10.5518/878
Conibear, Luke and Reddington, Carly L. and Silver, Ben J. and Knote, Christoph and Arnold, Stephen R. and Spracklen, Dominick V. (2020) Supplementary Data - Regional policies targeting residential solid fuel and agricultural emissions can improve air quality and public health in the Greater Bay Area and across China. University of Leeds. [Dataset] https://doi.org/10.5518/919
Conibear, Luke (2017) Data associated with 'Emissions from residential energy use dominate exposure to ambient fine particulate matter in India'. University of Leeds. [Dataset] https://doi.org/10.5518/158