reference/36312331

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36312331

Outgoing Links

Predicate	Object
contentType	Journal Article
issn	0304-3894
pageRange	133175-
publicationName	Journal of hazardous materials
startingPage	133175
bibliographicCitation	Li R, Yan C, Meng Q, Yue Y, Jiang W, Yang L, Zhu Y, Xue L, Gao S, Liu W, Chen T, Meng J. Key toxic components and sources affecting oxidative potential of atmospheric particulate matter using interpretable machine learning: Insights from fog episodes. J Hazard Mater. 2024 Mar 05;465():133175. doi: 10.1016/j.jhazmat.2023.133175. PMID: 38086305.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-5523-4136 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_741734cd7dc29bb1028a5f74caeee1c9 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_805f320a81677d8541b6be6e4d3dc6f1 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_cb2b619f1900eac30a562222d708125a http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_08d829231653a07428345f23d6a07771 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e85c7d99de26c7fd84a8895fb5baa273 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_06b3782a5aad80459e3e43febcfa80a9 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1983-3948 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7c8cbe90ae0f6f71ca96641c9c1007a7 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_24593ffffd97f8861c0020e720c709f4 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_adb27e5498016f67adf1e2de0343f593 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_93999d07f2edd122fafd0adb54ac1c2d
date	2024-03-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/38086305 https://doi.org/10.1016/j.jhazmat.2023.133175
isPartOf	https://portal.issn.org/resource/ISSN/0304-3894 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21388
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Key toxic components and sources affecting oxidative potential of atmospheric particulate matter using interpretable machine learning: Insights from fog episodes

Total number of triples: 27.