PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.\', \'School of Water, Energy and Environment (SWEE), Cranfield University, Bedford, MK43 0AL, UK.\', \'Faculty of Energy Systems and Nuclear Science, Ontario Tech University, Oshawa, Ontario, L1G 0C5, Canada. kirk.atkinson@ontariotechu.ca.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1038/s41598-020-76597-y
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 33184316
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • Predicting airborne coronavirus inactivation by far-UVC in populated rooms using a high-fidelity coupled radiation-CFD model.
?:type
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/33184316>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/33184316>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all