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Data from: Substantial intraspecific variation in energy budgets: biology or artefact?

Cite this dataset

Potter, Tomos; Reznick, David; Coulson, Tim (2021). Data from: Substantial intraspecific variation in energy budgets: biology or artefact? [Dataset]. Dryad. https://doi.org/10.5061/dryad.qv9s4mwf1

Abstract

Data on the growth and reproduction of Trinidadian guppies (Poecilia reticulata) from sixteen different populations, reared under experimental conditions of either high or low food availability. These data were used to fit dynamic energy budgets models for each of the populations. For twelve populations, there are three sets of observations per individual, recorded at each successive parturition event. For four of the populations, data were recorded at each parturition event over the full lifespan of each individual. 

Methods

These are data on the growth and reproduction of individually housed Trinidadian guppies, reared under experimental conditions of either low or high food.  Data are collated from three sets of experiments that followed the same general protocol, although the experimental food treatments differed between experiments. Please refer to the manuscript “Substantial intraspecific variation in energy budgets: biology or artefact?", published in Functional Ecology, for details on the experimental procedures.

Usage notes

The README file describes the contents of the data files. Each datafile contains a "key" tab, which provides units and descriptions for each of the data columns. 

Please note that this is the raw data used for analyses. All of the MATLAB scripts and formatted data files used to perform the analyses presented in the paper are deposited in the Dynamic Energy Budget specific data repository (http://www.bio.vu.nl/thb/deb/deblab/add_my_pet/species_list.html - link to pages for each set of population-specific analyses are provided in the Supplementary Materials of the manuscript. We provide the raw data here, as the MATLAB format makes it tricky for anyone else to extract and use the data.