{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Christopher Nolte", "hasEmail": "mailto:nolte.chris@epa.gov"}, "description": "This dataset contains projected temperature and ozone data provided by\nEPA's Office of Research and Development in support of the manuscript\n\"A Flexible Bayesian Ensemble Machine Learning Framework for Predicting\nLocal Ozone Concentrations,\" by Xiang Ren, Panos Georgopoulos, et al. \n\nThis dataset is associated with the following publication:\nRen, X., Z. Mi, T. Cai, C. Nolte, and P. Georgopoulos. Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(7): 3871-3883, (2022).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/met.zip", "mediaType": "application/x-zip-compressed", "title": "met.zip"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/mda8.zip", "mediaType": "application/x-zip-compressed", "title": "mda8.zip"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/emis.zip", "mediaType": "application/x-zip-compressed", "title": "emis.zip"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/README.txt", "mediaType": "text/plain", "title": "README.txt"}], "identifier": "https://doi.org/10.23719/1522932", "keyword": ["climate change", "machine learning", "Environmental Justice", "ozone exposure"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2021-08-02", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1021/acs.est.1c04076"], "rights": null, "title": "Projected Temperature and Ozone Data for Ren et al. Bayesian Ensemble Manuscript"}