Semantic Scholar Open Access 2018 218 sitasi

The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products

K. Dionisio Katherine A. Phillips P. Price C. Grulke Antony J. Williams +3 lainnya

Abstrak

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. Design Type(s) data integration objective Measurement Type(s) physicochemical characterization Technology Type(s) digital curation Factor Type(s) chemical product Design Type(s) data integration objective Measurement Type(s) physicochemical characterization Technology Type(s) digital curation Factor Type(s) chemical product Machine-accessible metadata file describing the reported data (ISA-Tab format)

Penulis (8)

K

K. Dionisio

K

Katherine A. Phillips

P

P. Price

C

C. Grulke

A

Antony J. Williams

D

Derya Biryol

T

Tao Hong

K

K. Isaacs

Format Sitasi

Dionisio, K., Phillips, K.A., Price, P., Grulke, C., Williams, A.J., Biryol, D. et al. (2018). The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products. https://doi.org/10.1038/sdata.2018.125

Akses Cepat

Lihat di Sumber doi.org/10.1038/sdata.2018.125
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
218×
Sumber Database
Semantic Scholar
DOI
10.1038/sdata.2018.125
Akses
Open Access ✓