OPERA models for predicting physicochemical properties and environmental fate endpoints

For the purpose of this modeling study, extensive curation work was conducted on 13 publicly available PHYSPROP physicochemical property and environmental fate datasets.The dataset supporting the conclusions of this article are available within the article and its additional file as well as OPERA’s Github repository (https://github.com/kmansouri/OPERA) and the EPA’s ftp site: https://figshare.com/s/6fa1babbc9a0e9560317.

This dataset is associated with the following publication: Mansouri, K., C. Grulke, R. Judson, and A. Williams. OPERA models for predicting physicochemical properties and environmental fate endpoints. Journal of Cheminformatics. Springer, New York, NY, USA, 10: 10, (2018).

Data e Risorse

Campo Valore
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1504180
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2018-02-16
programCode {020:095}
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/10.1186/s13321-018-0263-1}
resource-type Dataset
source_datajson_identifier true
source_hash 588f91f934ad719fcf0a9a6bf1f6678fa15b2869
source_schema_version 1.1
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • actor
  • amerigeo
  • amerigeoss
  • ckan
  • geo
  • geoss
  • national
  • north-america
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Richard Judson
maintainer_email judson.richard@epa.gov
metadata_created 2025-11-21T11:25:16.577893
metadata_modified 2025-11-21T11:25:16.577897
notes For the purpose of this modeling study, extensive curation work was conducted on 13 publicly available PHYSPROP physicochemical property and environmental fate datasets.The dataset supporting the conclusions of this article are available within the article and its additional file as well as OPERA’s Github repository (https://github.com/kmansouri/OPERA) and the EPA’s ftp site: https://figshare.com/s/6fa1babbc9a0e9560317. This dataset is associated with the following publication: Mansouri, K., C. Grulke, R. Judson, and A. Williams. OPERA models for predicting physicochemical properties and environmental fate endpoints. Journal of Cheminformatics. Springer, New York, NY, USA, 10: 10, (2018).
num_resources 3
num_tags 9
title OPERA models for predicting physicochemical properties and environmental fate endpoints