Mimicking atmospheric photochemical modeling with a deep neural network

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.

Data and Resources

This dataset has no data

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1524265
license https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
modified 2021-11-13
programCode {020:000}
publisher U.S. Environmental Protection Agency
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency
references {https://dx.doi.org/10.1016/j.atmosres.2021.105919}
resource-type Dataset
source_datajson_identifier true
source_hash faad8ac81fe7b1a23184bd569ba2418dc61ffd9e
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • atmospheric-photochemistry
  • chemical-transport-model
  • deep-learning
  • emissions
  • meteorology
  • ozone
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer James Kelly
maintainer_email kelly.james@epa.gov
metadata_created 2025-09-23T15:16:56.472283
metadata_modified 2025-09-23T15:16:56.472289
notes 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.
num_resources 0
num_tags 14
title Mimicking atmospheric photochemical modeling with a deep neural network