Global models and predictions of plant diversity based on advanced machine learning techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: The New Phytologist ; 237 (2023), 4. - S. 1432-1445. - Wiley. - ISSN 0028-646X. - eISSN 1469-8137
- Ereignis
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Veröffentlichung
- (wo)
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Konstanz
- (wer)
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KOPS Universität Konstanz
- (wann)
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2023
- Urheber
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Cai, Lirong
Kreft, Holger
Taylor, Amanda
Denelle, Pierre
Schrader, Julian
Essl, Franz
Kleunen, Mark van
Pergl, Jan
Stein, Anke
Weigelt, Patrick
- URN
-
urn:nbn:de:bsz:352-2-mms2r4cvgzoy4
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Cai, Lirong
- Kreft, Holger
- Taylor, Amanda
- Denelle, Pierre
- Schrader, Julian
- Essl, Franz
- Kleunen, Mark van
- Pergl, Jan
- Stein, Anke
- Weigelt, Patrick
- KOPS Universität Konstanz
Entstanden
- 2023
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