http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36019350

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Predicate Object
contentType Journal Article
issn 0379-0738
pageRange 111688-
publicationName Forensic Science International
startingPage 111688
bibliographicCitation Zeng R, Rossiter DG, Zhao YG, Li DC, Liu F, Zheng GH, Zhang GL. The choice of spectral similarity algorithms influences suspected soil sample provenance. Forensic Sci Int. 2023 Jun;347():111688. doi: 10.1016/j.forsciint.2023.111688. PMID: 37068374.
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date 202306
identifier https://pubmed.ncbi.nlm.nih.gov/37068374
https://doi.org/10.1016/j.forsciint.2023.111688
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/3760
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title The choice of spectral similarity algorithms influences suspected soil sample provenance

Total number of triples: 22.