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1
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system
In: ISSN: 0394-9370 ; Ethology Ecology and Evolution ; https://hal.inrae.fr/hal-03518874 ; Ethology Ecology and Evolution, Taylor & Francis, 2022, pp.1-17. ⟨10.1080/03949370.2021.2015452⟩ (2022)
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2
Dataset with all the computed metrics per sub-sequence ...
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3
Dataset including all random forests' % of variance explained ...
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4
Dataset with additional information on the audio recordings from predator presentations ...
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5
Dataset extracted from audio recordings from predator presentations (first 50 calls) ...
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6
R script for metric extraction, computation of random forests and extraction of the inflection point ...
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7
R script for metric extraction, computation of random forests and extraction of the inflection point ...
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8
Dataset with all the computed metrics per sub-sequence ...
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9
Dataset with additional information on the audio recordings from predator presentations ...
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10
Matrix of results ...
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11
Matrix of results ...
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12
Dataset extracted from audio recordings from predator presentations (first 50 calls) ...
Abstract: Dataset used to run the code (also in the FigShare depository), extracted from 58 audio recordings of the vocal reaction of titi monkeys when presented to three stuffed predators (tayra, oncilla and caracara). Coding methodology: We've used the vocal repertoire described by Cäsar et al. (2012), which includes two alarm calls: A- and B-calls. Audios were listened with Praat, and the first 50 calls of each sequence were labelled as A-calls, B-calls or "other" (undetermined call or other call type). The beginning and ending time of each call was also labellised. You can find the recordings collected by Berthet et al. (2019) in the following link : https://figshare.com/articles/dataset/Audio_recordings_of_predator_presentations/7707119. Recordings collected by Cäsar must be requested directly to the author. ...
Keyword: 200402 Computational Linguistics; 60801 Animal Behaviour; FOS Biological sciences; FOS Languages and literature
URL: https://figshare.com/articles/dataset/Dataset_extracted_from_audio_recordings_from_predator_presentations_first_50_calls_/16780123/1
https://dx.doi.org/10.6084/m9.figshare.16780123.v1
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