Ontology highlight
ABSTRACT:
SUBMITTER: Dionisio KL
PROVIDER: S-EPMC6038847 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Dionisio Kathie L KL Phillips Katherine K Price Paul S PS Grulke Christopher M CM Williams Antony A Biryol Derya D Hong Tao T Isaacs Kristin K KK
Scientific data 20180710
Quantitative data on product chemical composition is a necessary parameter for characterizing near-field exposure. This data set comprises reported and predicted information on more than 75,000 chemicals and more than 15,000 consumer products. The data's primary intended use is for exposure, risk, and safety assessments. The data set includes specific products with quantitative or qualitative ingredient information, which has been publicly disclosed through material safety data sheets (MSDS) and ...[more]