http://rdf.ncbi.nlm.nih.gov/pubchem/reference/24423638

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 13751
issn 0944-1344
1614-7499
issueIdentifier 11
pageRange 13736-13751
publicationName Environmental science and pollution research international
startingPage 13736
bibliographicCitation Al-Mayahi HM, Al-Abadi AM, Fryar AE. Probability mapping of groundwater contamination by hydrocarbon from the deep oil reservoirs using GIS-based machine-learning algorithms: a case study of the Dammam aquifer (middle of Iraq). Environmental Science and Pollution Research. 2020 Nov 16;28(11):13736–51. doi: 10.1007/s11356-020-11158-4.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e4811bf1ac116407316847d32486e8dc
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_61da1d4d79f571e2dbd40958df54999b
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_95473ead33ac640accae57fc52ab63d6
date 2020-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1007/s11356-020-11158-4
https://pubmed.ncbi.nlm.nih.gov/33196994
isPartOf https://portal.issn.org/resource/ISSN/0944-1344
https://portal.issn.org/resource/ISSN/1614-7499
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
language English
source https://www.crossref.org/
https://scigraph.springernature.com/
https://pubmed.ncbi.nlm.nih.gov/
title Probability mapping of groundwater contamination by hydrocarbon from the deep oil reservoirs using GIS-based machine-learning algorithms: a case study of the Dammam aquifer (middle of Iraq)
discusses http://id.nlm.nih.gov/mesh/M0010687
hasSubjectTerm http://purl.org/au-research/vocabulary/anzsrc-for/2008/06
http://purl.org/au-research/vocabulary/anzsrc-for/2008/05
http://purl.org/au-research/vocabulary/anzsrc-for/2008/03

Total number of triples: 27.