CIEXPO-Emission: Chemical Insights Exposure Portfolio: Emission Database

Furthermore, in the future CIEXPO-Emission may include curated and harmonized information on releases in near-field (residential settings) such as those from consumer articles, or predicted emissions to the near field generated with consumer exposure models that integrate consumer product concentrations with use pattern information.</p><p dir="ltr">CIEXPO-Emission is distributed in portable DuckDB format. DuckDB databases can be accessed programmatically using freely available DuckDB packages for R and Python, with data queried using SQL or higher-level interfaces such as dplyr/dbplyr in R and SQLAlchemy or Ibis in Python.

A data dictionary is provided.</p><p dir="ltr">Version History:</p><p dir="ltr">V0: Version accompanying submission of the following manuscript: Isaacs, KK, Wambaugh JF, Charest N, Sinclair G, Shapiro AJ, Whitehead H, Boatman A, Ferland TM, Wall JT, Wilson M, Sams RL, Edwards S, Thomas RS, and Paul Friedman K. Characterizing Exposure Pathways for a Global Collection of Chemicals. 2026. Submitted to <i>Environmental Science and Technology.</i></p>