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A sensory investment syndrome hypothesis: Personality and predictability are linked to sensory capacity in the hermit crab Pagurus bernhardus

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DataONE2025-05-15 更新2025-05-31 收录
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Correlated phenotypic traits (i.e., syndromes) may manifest as associations between different behavioural types or between behavioural and non-behavioural phenotypes. While research on syndromes is extensive, correlations involving behavioural type and sensory morphology have yet to be investigated. Sensation is essential in decision-making and should be correlated with behavioural phenotypes involved in risk response, including boldness. We investigated correlations between boldness and sensory capacity in Pagurus bernhardus hermit crabs, taking repeat measures of startle response durations to assess hermit crab personality and predictability. The correlation between startle response and the sensillar density (i.e., number of sensilla per unit surface area) of both chelipeds was assessed using Bayesian-fitted double hierarchical general linear models (DHGLMs). Negative correlations between these two traits support the existence of a syndrome linking sensory capacity and behavioural typ..., , # A sensory investment syndrome hypothesis: Personality and predictability are linked to sensory capacity in the hermit crab *Pagurus bernhardus* Dataset DOI: [10.5061/dryad.ksn02v7gm](10.5061/dryad.ksn02v7gm) ## Description of the data and file structure The following data files were used to investigate the potential for a correlation between a behavioural phenotype (boldness) and sensory morphological phenotype (sensillar density or the number of sensilla per unit chelar surface area) in the common hermit crab *Pagurus bernhardus*. Morphological data were collected by scanning electron microscopy and image analysis. Behavioural phenotype (animal personality and predictability) data were collected by collecting repeat measures (n=11) of the startle response durations for individual hermit crabs*.* Data were analysed using Bayesian-fitted DHGLMs. ### Files and variables #### File: SensoryStartle.R **Description:** R code used to analyse data from the attached .csv file  #### File...,
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2025-05-16
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