Filling data gaps in long-term solar UV monitoring by statistical imputation methods
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Filling data gaps in long-term solar UV monitoring by statistical imputation methods ; volume:23 ; number:7 ; day:24 ; month:5 ; year:2024 ; pages:1265-1278 ; date:7.2024
Photochemical & photobiological sciences ; 23, Heft 7 (24.5.2024), 1265-1278, 7.2024
- Klassifikation
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Statistik
- Urheber
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Heinzl, Felix
Lorenz, Sebastian
Scholz-Kreisel, Peter
Weiskopf, Daniela
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s43630-024-00593-8
- URN
-
urn:nbn:de:101:1-2409231241260.585468061234
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
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Beteiligte
- Heinzl, Felix
- Lorenz, Sebastian
- Scholz-Kreisel, Peter
- Weiskopf, Daniela
- SpringerLink (Online service)
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