- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
A machine learning method for distinguishing detrital zircon provenance ; volume:178 ; number:6 ; day:20 ; month:5 ; year:2023 ; pages:1-17 ; date:6.2023
Contributions to mineralogy and petrology ; 178, Heft 6 (20.5.2023), 1-17, 6.2023
- Urheber
-
Zhong, S. H.
Liu, Y.
Li, S. Z.
Bindeman, I. N.
Cawood, P. A.
Seltmann, R.
Niu, J. H.
Guo, G. H.
Liu, J. Q.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00410-023-02017-9
- URN
-
urn:nbn:de:101:1-2023091914045483202528
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Zhong, S. H.
- Liu, Y.
- Li, S. Z.
- Bindeman, I. N.
- Cawood, P. A.
- Seltmann, R.
- Niu, J. H.
- Guo, G. H.
- Liu, J. Q.
- SpringerLink (Online service)
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