U.S. Environmental Protection Agency, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA.
U.S. Environmental Protection Agency, National Center for Computational Toxicology, 109 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA.
Sci Data. 2018 Jul 10;5:180125. doi: 10.1038/sdata.2018.125.
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 ingredient lists. A single product category from a refined and harmonized set of categories has been assigned to each product. The data set also contains information on the functional role of chemicals in products, which can inform predictions of the concentrations in which they occur. These data will be useful to exposure and risk assessors evaluating chemical and product safety.
产品化学成分的定量数据是近场暴露特征描述的必要参数。该数据集包含超过 75000 种化学物质和超过 15000 种消费品的报告和预测信息。这些数据的主要用途是进行暴露、风险和安全评估。该数据集包括具有定量或定性成分信息的特定产品，这些信息已经通过材料安全数据表 (MSDS) 和成分清单公开披露。每个产品都分配了一个经过精制和协调的产品类别中的单一产品类别。该数据集还包含有关化学品在产品中的功能作用的信息，这些信息可用于预测它们出现的浓度。这些数据将对评估化学品和产品安全的暴露和风险评估人员有用。
