Quantifying wintertime O3 and NOx formation with relevance vector machines

Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be accessed through the following means: Data available through Data.gov and EDG. Format: Excel spreadsheet.

This dataset is associated with the following publication: Olson, D., T. Riedel, J. Offenberg, M. Lewandowski, R. Long, and T. Kleindienst. Quantifying wintertime O3 and NOx formation with relevance vector machines. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 259: 118538, (2021).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1520921
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2021-06-15
programCode {020:094}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.atmosenv.2021.118538}
resource-type Dataset
source_datajson_identifier true
source_hash 2cd03c9b5aab89e0a210c11618a3345a1278f06e
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • air-quality
  • amerigeo
  • amerigeoss
  • ckan
  • fine-particulate-matter-pm2-5
  • geo
  • geoss
  • machine-learning
  • national
  • north-america
  • ozone
  • secondary-organic-aerosol
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer David Olson
maintainer_email olson.david@epa.gov
metadata_created 2025-11-22T12:22:23.185895
metadata_modified 2025-11-22T12:22:23.185899
notes Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be accessed through the following means: Data available through Data.gov and EDG. Format: Excel spreadsheet. This dataset is associated with the following publication: Olson, D., T. Riedel, J. Offenberg, M. Lewandowski, R. Long, and T. Kleindienst. Quantifying wintertime O3 and NOx formation with relevance vector machines. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 259: 118538, (2021).
num_resources 1
num_tags 13
title Quantifying wintertime O3 and NOx formation with relevance vector machines