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Projected Temperature and Ozone Data for Ren et al. Bayesian Ensemble Manuscript

Published by U.S. EPA Office of Research and Development (ORD) | U.S. Environmental Protection Agency | Catalog Last Checked: August 03, 2026 at 12:47 AM | Dataset Last Updated: August 02, 2021
This dataset contains projected temperature and ozone data provided by EPA's Office of Research and Development in support of the manuscript "A Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations," by Xiang Ren, Panos Georgopoulos, et al. This dataset is associated with the following publication: Ren, 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).

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Complete Metadata
@type dcat:Dataset
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 EPA's Office of Research and Development in support of the manuscript "A Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations," by Xiang Ren, Panos Georgopoulos, et al. This dataset is associated with the following publication: Ren, 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 
[
  {
    "title": "README.txt",
    "mediaType": "text/plain",
    "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/README.txt"
  },
  {
    "title": "emis.zip",
    "mediaType": "application/x-zip-compressed",
    "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/emis.zip"
  },
  {
    "title": "mda8.zip",
    "mediaType": "application/x-zip-compressed",
    "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/mda8.zip"
  },
  {
    "title": "met.zip",
    "mediaType": "application/x-zip-compressed",
    "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/met.zip"
  }
]
identifier https://doi.org/10.23719/1522932
keyword 
[
  "Environmental Justice",
  "climate change",
  "machine learning",
  "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

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