Publikation:
Cluster analysis and self-organizing maps to understand congener patterns of PCB and dioxins/furans

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dc.contributor.authorGräff, Thomas
dc.contributor.authorFiedler, Heidelore
dc.contributor.authorHöllrigl-Rosta, Andreas
dc.contributor.authorKnetsch, Gerlinde
dc.date.accessioned2024-06-16T14:33:01Z
dc.date.available2024-06-16T14:33:01Z
dc.date.issued2019
dc.format.extent1 Onlineressource (7 Seiten)
dc.format.mediumonline resource
dc.identifier.doihttps://doi.org/10.60810/openumwelt-1726
dc.identifier.urihttps://openumwelt.de/handle/123456789/4949
dc.language.isoeng
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleCluster analysis and self-organizing maps to understand congener patterns of PCB and dioxins/furans
dc.typeTeil eines Buches
dc.typeConference proceedings
dc.type.dcmitext
dc.type.mediumcomputer
dspace.entity.typePublication
local.bibliographicCitation.conference33rd Conference on Environmental Informatics (33 : 2019 : Kassel)
local.bibliographicCitation.journalTitleProceedings der EnviroInfo 2019
local.bibliographicCitation.volume(2019)
local.collectionAufsätze
local.contributor.authorId(DE-588)175690766
local.contributor.authorId00258088
local.identifier.catalogId02470209
local.ingest.leader03234naa a2200000uu 4500
local.jointTitleCLUSTER ANALYSIS AND SELFORGANIZING MAPS TO UNDERSTAND CONGENER PATTERNS OF PCB AND DIOXINSFURANS
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