Immune challenge changes social behaviour in the Guppy (Poecilia reticulata)
收藏Mendeley Data2024-04-13 更新2024-06-28 收录
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https://datadryad.org/stash/dataset/doi:10.5061/dryad.zcrjdfnk0
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# Immune Challenge Changes Social Behaviour in the Guppy (Poecilia reticulata) [https://doi.org/10.5061/dryad.zcrjdfnk0](https://doi.org/10.5061/dryad.zcrjdfnk0) The dataset contains data from an experiment examining the effects of LPS exposure on 1) the social interactions and 2) collective behaviour in the female guppy (Poecilia reticulata). Experiment 1 examined whether unexposed fish preferred to associated with control or LPS exposed stimulus shoals, using a binary choice test. It was found that focal individuals significantly prefer to associated with control stimulus shoals. Experiment 2 examined the collective behaviour of exposed and unexposed shoals, and found that groups of LPS exposed fish showed reduced group cohesion. ## Description of the data and file structure There are two data files, one containing the data from (1) the binary choice experiment and (2) the collective behaviour experiment. The data are laid out as follows: 1\. Binary Choice Experiment \(file name LPSChoiceTests\.csv\) The data are arranged by treatment (LPS-exposed or control) and our measurements are: Time Spent Associating with each stimulus shoal (in seconds) Group cohesion, measured as nearest neighbour distance (in cm) Swimming speed (in cm/s) 2\. Collective Behaviour Experiment \(file name 'ArenaDataDryad\.csv'\) The data are arranged by treatment (column D; LPS-exposed or control) and our data refer to: ID - this is the individual identity of each fish (ranging from 1-6) in each replicate MeanDist - this is the mean distance (in cm) between a given fish and the other members of the group Speed - this is speed (measured in cm per second) Treat - this is the treatment - LPS or Control Trial - this is the ID for each trial. ## Sharing/Access information All data will be available from Dryad ## Code/Software All statistical analyses were conducted using R. The following packages were used: Lme4
创建时间:
2023-10-02



