Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2052-4463
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling ; volume:9 ; number:1 ; day:10 ; month:8 ; year:2022 ; pages:1-12 ; date:12.2022
Scientific data ; 9, Heft 1 (10.8.2022), 1-12, 12.2022
- Urheber
-
Abdalla, Livia
Augusto, Douglas A.
Chame, Marcia
Dufek, Amanda S.
Oliveira, Leonardo
Krempser, Eduardo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41597-022-01581-2
- URN
-
urn:nbn:de:101:1-2022102602550019410866
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
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Beteiligte
- Abdalla, Livia
- Augusto, Douglas A.
- Chame, Marcia
- Dufek, Amanda S.
- Oliveira, Leonardo
- Krempser, Eduardo
- SpringerLink (Online service)
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