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NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
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In
Data in Brief 48, Seiten/Artikel-Nr.:109054
2023
Online
DOI: 10.18154/RWTH-2023-03005
DOI: 10.1016/j.dib.2023.109054
URL: http://publications.rwth-aachen.de/record/954195/files/954195.pdf
Einrichtungen
- Lehrstuhl für Anthropogene Stoffkreisläufe und Institut für Aufbereitung, Kokerei und Brikettierung (512110)
- Fachgruppe für Rohstoffe und Entsorgungstechnik (510000)
Thematische Einordnung (Klassifikation)
DDC: 570
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85150830434
WOS Core Collection: WOS:000959953500001
PubMed: pmid:37006394
Interne Identnummern
RWTH-2023-03005
Datensatz-ID: 954195
Beteiligte Länder
Germany
Related:
Dissertation / PhD Thesis
Sensor-based characterization of anthropogenic material systems: developing characterization methods and novel applications for optimizing the mechanical recycling of lightweight packaging waste
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2023) [10.18154/RWTH-2023-11638] = Dissertation, RWTH Aachen University, 2023, Kumulative Dissertation
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