First, we curated and selected experimental animal toxicity data and split them into two distinct data sets covering general noncancer effects and reproductive/developmental effects. Second, we collected POD values from regulatory data sources (PODreg) and compared these PODreg with the curated dose–response toxicity data to identify a statisti-cal approach for deriving surrogate oral PODs. Third, we systematically applied this approach to determine a surrogate POD for each substance in the two curated data sets. We then characterized the uncertainty around each of the surrogate PODs that was due to intrastudy and interstudy variability through a bootstrapping approach. Finally, using the surrogate PODs and their uncertainty, we derived both probabilistic RfDs and human population effect doses (I =10%) for use in health-based or comparative risk assessments and LCIA, respectively.

This dataset is associated with the following publication: Aurisano, N., O. Jolliet, W. Chiu, R. Judson, S. Jang, A. Unnikrishnan, M. Kosnik, and P. Fantke. Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 131(3): 037016, (2023).