Optimizing environmental DNA sampling effort for fish inventories in tropical streams and rivers
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Optimizing environmental DNA sampling effort for fish inventories in tropical streams and rivers ; volume:9 ; number:1 ; day:28 ; month:2 ; year:2019 ; pages:1-11 ; date:12.2019
Scientific reports ; 9, Heft 1 (28.2.2019), 1-11, 12.2019
- Urheber
-
Cantera, Isabel
Cilleros, Kévin
Valentini, Alice
Cerdan, Axel
Dejean, Tony
Iribar, Amaia
Taberlet, Pierre
Vigouroux, Régis
Brosse, Sébastien
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-019-39399-5
- URN
-
urn:nbn:de:101:1-2019032022384106773545
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Cantera, Isabel
- Cilleros, Kévin
- Valentini, Alice
- Cerdan, Axel
- Dejean, Tony
- Iribar, Amaia
- Taberlet, Pierre
- Vigouroux, Régis
- Brosse, Sébastien
- SpringerLink (Online service)
Ähnliche Objekte (12)
Weighted Reservoir Sampling from Distributed Streams
Optimizing the retrieval effort in stack-based storage systems
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sleeping intervals in preamble sampling MACs for WSN
Approaches for the optimisation of double sampling for stratification in repeated forest inventories
Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories
Comparison of the local pivotal method and systematic sampling for national forest inventories
Machine Learning in Adaptive FETI-DP - Reducing the Effort in Sampling
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling
Streams
Mid-sized mountain streams : typology, assessment and reliability of sampling and assessment methods
Weighted Reservoir Sampling from Distributed Streams
Optimizing the retrieval effort in stack-based storage systems
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sleeping intervals in preamble sampling MACs for WSN
Approaches for the optimisation of double sampling for stratification in repeated forest inventories
Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories
Comparison of the local pivotal method and systematic sampling for national forest inventories
Machine Learning in Adaptive FETI-DP - Reducing the Effort in Sampling
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling
Streams
Mid-sized mountain streams : typology, assessment and reliability of sampling and assessment methods
Weighted Reservoir Sampling from Distributed Streams
Optimizing the retrieval effort in stack-based storage systems
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sampling strategies in high-resolution paleoclimate records
Optimizing sleeping intervals in preamble sampling MACs for WSN
Approaches for the optimisation of double sampling for stratification in repeated forest inventories
Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories
Comparison of the local pivotal method and systematic sampling for national forest inventories
Machine Learning in Adaptive FETI-DP - Reducing the Effort in Sampling
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling
Streams