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GLORIA - A globally representative hyperspectral in situ da..:

Lehmann, Moritz K ; Gurlin, Daniela ; Pahlevan, Nima...
Lehmann MK, Gurlin D, Pahlevan N, Anstee J, Balasubramanian SV, Barbosa CCF, Binding C, Bracher A, Bresciani M, Burtner A, Cao Z, Dekker AG, Jiang D, Spyrakos E & Werther M (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data , 10 (1), Art. No.: 100. https://doi.org/10.1038/s41597-023-01973-y. , 2023

Link: http://hdl.handle.net/1893/34958

RT Journal
T1 <Title>GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivstirling:oai:dspace.stir.ac.uk:1893_34958&Exemplar=1&LAN=DE
				
A1 Lehmann, Moritz K
A1 Gurlin, Daniela
A1 Pahlevan, Nima
A1 Anstee, Janet
A1 Balasubramanian, Sundarabalan V
A1 Barbosa, Claudio C F
A1 Binding, Caren
A1 Bracher, Astrid
A1 Bresciani, Mariano
A1 Burtner, Ashley
A1 Cao, Zhigang
A1 Dekker, Arnold G
A1 Jiang, Dalin
A1 Spyrakos, Evangelos
A1 Werther, Mortimer
PB Springer Science and Business Media LLC
YR 2023
K1 Library and Information Sciences
K1 Statistics
K1 Probability and Uncertainty
K1 Computer Science Applications
K1 Education
K1 Information Systems
K1 Statistics and Probability
JF Lehmann MK, Gurlin D, Pahlevan N, Anstee J, Balasubramanian SV, Barbosa CCF, Binding C, Bracher A, Bresciani M, Burtner A, Cao Z, Dekker AG, Jiang D, Spyrakos E & Werther M (2023) GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data , 10 (1), Art. No.: 100. https://doi.org/10.1038/s41597-023-01973-y
LK http://hdl.handle.net/1893/34958
DO http://hdl.handle.net/1893/34958
SF ELIB - SuUB Bremen

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