Replication Data: Long-term criteria and toxic pollutants trends and community exposures over the Marcellus Shale region in the U.S.

This dataset supports a comprehensive assessment of long-term air quality impacts associated with unconventional oil and gas development (UOGD) in the Marcellus Shale region of the United States, covering Pennsylvania, West Virginia, and Ohio from 2002–2021. The project integrates emissions inventory development, ambient monitoring data, chemical transport modeling, and deep learning–based simulations to evaluate trends in criteria air pollutants (CAPs) and hazardous air pollutants (HAPs) and to assess potential community exposure disparities.

The dataset includes processed emissions inventories, modeled air pollutant concentrations, and supporting data products generated using the Community Multiscale Air Quality–based modeling system Comprehensive Air Quality Model with Extensions (CAMx) and the deep learning chemical transport modeling framework DeepCTM. The integrated modeling framework was used to evaluate the influence of UOGD-related emissions on ozone (O₃), nitrogen dioxide (NO₂), formaldehyde (HCHO), and PM₂.₅, and to characterize long-term spatial and temporal patterns of air quality.

These data products enable replication of key analyses in the associated study and support further research on emissions trends, atmospheric chemistry, and community exposure assessments in regions impacted by unconventional energy development. The archived materials include processed datasets, metadata, and documentation necessary to interpret and reproduce the modeling results.