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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dc.contributor.authorKoger, Benjamin
dc.contributor.authorHurme, Edward
dc.contributor.authorCostelloe, Blair R.
dc.contributor.authorO'Mara, M. Teague
dc.contributor.authorWikelski, Martin
dc.contributor.authorKays, Roland
dc.contributor.authorDechmann, Dina K. N.
dc.date.accessioned2025-04-30T09:17:50Z
dc.date.available2025-04-30T09:17:50Z
dc.date.created2023-05-21T23:13:13Z
dc.date.issued2023
dc.description.abstractData 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.
dc.description.versionpublisheddeu
dc.identifier.doi10.17617/3.1yiesh
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/73183
dc.rightsCreative Commons Zero v1.0 Universal
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/legalcode
dc.subjectBiology
dc.subjectBats
dc.subjectcounting
dc.subjectmachine learning
dc.subjectcomputer vision
dc.subjectmigration
dc.subject.ddc570
dc.titleData for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies
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kops.citation.iso690KOGER, 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 coloniesdeu
kops.citation.iso690KOGER, 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 colonieseng
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