ArticleScientific data2019
High-resolution behavioral time series of Japanese quail within their social environment.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- The relevance of a right scale for sampling when studying high-resolution behavioral dynamics.Scientific reports · 2023Article
- Differences among domestic chicken breeds in tonic immobility responses as a measure of fearfulness.PeerJ · 2023Article
- High-resolution behavioral time series of Japanese quail within their social environment.Scientific data · 2019Article
- Aggressive dominance can decrease behavioral complexity on subordinates through synchronization of locomotor activities.Communications biology · 2019Article
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5 authors.
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Abstract
The behavioral dynamics within a social group not only could depend on individual traits and social-experience of each member, but more importantly, emerges from inter-individual interactions over time. Herein, we first present a dataset, as well as the corresponding original video recordings, of the results of 4 behavioral tests associated with fear and aggressive response performed on 106 Japanese quail. In a second stage, birds were housed with conspecifics that performed similarly in the behavioral tests in groups of 2 females and 1 male. By continuously monitoring each bird in these small social groups, we obtained time series of social and reproductive behavior, and high-resolution locomotor time series. This approach provides the opportunity to perform precise quantification of the temporal dynamics of behavior at an individual level within different social scenarios including when an individual showing continued aggressive behaviors is present. These unique datasets and videos are publicly available in Figshare and can be used in further analysis, or for comparison with existing or future data sets or mathematical models across different taxa.
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