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

Metadata Updated: April 21, 2022

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1021/acs.est.1c04076

Dates

Metadata Created Date April 21, 2022
Metadata Updated Date April 21, 2022

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date April 21, 2022
Metadata Updated Date April 21, 2022
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1522932
Data Last Modified 2021-08-02
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 7a2f3915-b8cb-44a4-9aed-56a57040144d
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1021/acs.est.1c04076
Source Datajson Identifier True
Source Hash 2432ff84c1470d122830e6c41ce712ee5c4da8ac
Source Schema Version 1.1

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