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Mimicking atmospheric photochemical modeling with a deep neural network

Metadata Updated: January 24, 2022

Air quality modeling for China. This dataset is not publicly accessible because: Data was generated and owned by Tsinghua University. It can be accessed through the following means: Data can be accessed from lead author at Tsinghua University: xingjia@tsinghua.edu.cn. Format: Air quality modeling data for China. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Access & Use Information

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

Downloads & Resources

No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

References

https://dx.doi.org/10.1016/j.atmosres.2021.105919

Dates

Metadata Created Date January 24, 2022
Metadata Updated Date January 24, 2022

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date January 24, 2022
Metadata Updated Date January 24, 2022
Publisher U.S. Environmental Protection Agency
Maintainer
Identifier https://doi.org/10.23719/1524265
Data Last Modified 2021-11-13
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 2e60a871-8d13-4917-95f7-86d4ac42bcdd
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency
Related Documents https://dx.doi.org/10.1016/j.atmosres.2021.105919
Source Datajson Identifier True
Source Hash faad8ac81fe7b1a23184bd569ba2418dc61ffd9e
Source Schema Version 1.1

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