Subject area |
Environmental Science |
More specific subject area |
Air quality, particulate matter, toxicology and health |
Type of data |
Table |
How data was acquired |
Data acquired by literature search and normalization of data from different exposure protocols based on a model that calculates concentration, inhalation rates and particulate matter exposure dose. The selection filters applied to build the dataset were: published works and data were published in 2017, in the English language, and were referenced in indexed journals (with editorial board, peer reviewed and included in Clarivate Analytics Journal Citation Reports). Also, the papers selected were based on mice and/or rat models, and the protocol exposed the respiratory tract to PM to study the health effects in one or more specific endpoints (respiratory tract, pulmonary and extra-pulmonary). Given these conditions, a search string was used to query PubMed Particularly, the following keywords were used: (particulate matter) AND (mice or mouse or rats or rat) AND (inhalation or instillation). Apart from the most recent articles published in 2017, we also included seminal papers from previous years. |
Data format |
Calculated and analysed |
Experimental factors |
Data were compiled from experimental design description from 75 different research articles (155 toxicological experiments) |
Experimental features |
We used a model to calculate inhalation rates, concentrations and PM exposure dose from 155 different toxicological experiments |
Data source location |
Vila Velha, Brazil, Universidade Vila Velha |
Data accessibility |
Data is provided with this article |
Related research article |
F. Curbani, F.O. Busato, M.M. Nascimento, D.N. Olivieri, C.E. Tadokoro, Inhale, exhale: why particulate matter exposure in animal models are so acute? Environmental Pollution. In Press [1]
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