Datensatz:

Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies

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Datum der Erstveröffentlichung

2023

Andere Beitragende

Repositorium der Erstveröffentlichung

Max Planck Digital Library

Version des Datensatzes

V1

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): EXC 2117-422037984

Projekt

Core Facility der Universität Konstanz
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Titel in einer weiteren Sprache

Publikationsstatus
Published

Zusammenfassung

Data that goes with paper entitled "An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies" published by the same authors as this dataset. Data is stored as .npy files containing the crossing information for each detected bat during the study.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Biology, Bats, counting, machine learning, computer vision, migration

Zugehörige Publikationen in KOPS

Publikation
Zeitschriftenartikel
An automated approach for counting groups of flying animals applied to one of the world's largest bat colonies
(2023) Koger, Benjamin; Hurme, Edward; Costelloe, Blair R.; O'Mara, Michael Teague; Wikelski, Martin; Kays, Roland; Dechmann, Dina K. N.
Erschienen in: Ecosphere. Wiley. 2023, 14(6), e4590. eISSN 2150-8925. Verfügbar unter: doi: 10.1002/ecs2.4590
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Link zu zugehörigem Datensatz

Zitieren

ISO 690KOGER, Benjamin, Edward HURME, Blair R. COSTELLOE, M. Teague O'MARA, Martin WIKELSKI, Roland KAYS, Dina K. N. DECHMANN, 2023. Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies
BibTex
RDF
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