DOI: 10.5061/dryad.k6djh9wkq
title: Data from: Plasticity of cold tolerance and body composition in response to varying warming conditions in a temperate wolf spider

description: Here, we assessed plasticity in cold tolerance and body composition in the
 wolf spider S. stridulans exposed to three distinct simulated winter
 temperature regimes: one that reflects current conditions, one that
 reflects a warmer winter, and one that reflects a warmer winter with
 increased diurnal variation. We found that the critical thermal minimum
 (CTmin; the lowest temperature a spider can remain active) was plastic.
 Specifically, CTmin was lowest at the coldest time of the simulated
 winter, and it was lowest in spiders exposed to current winter conditions
 compared to spiders exposed to warmer simulated winters. In contrast, the
 supercooling point, or the temperature at which spiders spontaneously
 freeze, was invariant across time and winter conditions. Growth rates also
 depend on winter conditions, with spiders from warmer and more variable
 winters exhibiting significantly higher growth rates. Protein and lipid
 contents, however, were not affected by winter environment, indicating
 that spiders can maintain these macronutrients at the same proportional
 level regardless of growth rate. In contrast, the carbohydrate content was
 slightly but significantly lower in spiders maintained in a warmer and
 more variable winter environment. The provided dataset includes raw data
 for cold tolerance measurements, growth rates, and body
 composition. 
description: # Data from: Plasticity of cold tolerance and body composition in response
 to varying warming conditions in a temperate wolf spider Dataset DOI:
 [10.5061/dryad.k6djh9wkq](10.5061/dryad.k6djh9wkq) ## Description of the
 data and file structure Spiders were exposed to one of three simulated
 winter conditions, a current winter, a warmer winter, and a warmer and
 more variable winter. At various time points, spiders were sampled from
 these environments, and we assessed their critical thermal minimum,
 supercooling points, body size, and energy store content (lipids,
 carbohydrates, and proteins).  ### Files and variables #### File:
 carbohydrates.csv **Description:** Raw data for carbohydrate content
 (Figure 3D in the manuscript) ##### Variables * treatment: the winter
 treatment spiders were exposed to * time: the time point spiders were
 sampled as a categorical variable * time_numeric: the time points spiders
 were sampled as a continuous variable in weeks * weight: the weight of the
 spider in milligrams * Measured Content : the carbohydrate content of each
 spider in micrograms #### File: ctmin.csv **Description:** Raw data for
 critical thermal minimum measurements (Figure 2A in the manuscript) #####
 Variables * treatment: the winter treatment spiders were exposed to *
 time: the time point spiders were sampled as a categorical variable *
 time_numeric: the time points spiders were sampled as a continuous
 variable in weeks * ctmin: the critical thermal minimum of each spider in
 degrees celsius #### File: lipids.csv **Description:** Raw data for lipid
 content (Figure 3C in the manuscript) ##### Variables * treatment: the
 winter treatment spiders were exposed to * time: the time point spiders
 were sampled as a categorical variable * time_numeric: the time points
 spiders were sampled as a continuous variable in weeks * weight: the
 weight of the spider in milligrams * lipids: the lipid content of each
 spider in micrograms #### File: protein.csv **Description:** Raw data for
 protein content (Figure 3B in the manuscript) ##### Variables *
 treatment: the winter treatment spiders were exposed to * time: the time
 point spiders were sampled as a categorical variable * time_numeric: the
 time points spiders were sampled as a continuous variable in weeks *
 weight: the weight of the spider in milligrams * protein: the protein
 content of each spider in micrograms #### File: scp.csv
 **Description:** Raw data for supercooling point measurements (Figure 2B
 in the manuscript) ##### Variables * treatment: the winter treatment
 spiders were exposed to * time: the time point spiders were sampled as a
 categorical variable * time_numeric: the time points spiders were sampled
 as a continuous variable in weeks * scp: the critical thermal minimum of
 each spider in degrees Celsius #### File: weight.csv **Description:** Raw
 data for body weight measurements (Figure 3A in the manuscript) #####
 Variables * treatment: the winter treatment spiders were exposed to *
 time: the time point spiders were sampled in weeks * spider: the identity
 of each spider, which was measured repeatedly * weight: the weight of the
 spider in milligrams ## Code/software All statistical models were
 conducted using R v. 4.2.3 implemented in RStudio 2023.03.0+386. For the
 cold tolerance measurements, data were analyzed using a generalized linear
 model (GLM) with the ‘*lme4*’ package, with time, treatment, and their
 interaction as predictors. The effect of each factor was tested using a
 type II ANOVA using the “Anova” function from the ‘*car*’ package.
 Pairwise comparisons between specific combinations of groups were
 conducted using ‘*emmeans*.’ Energy store data were analyzed similarly,
 with weight included as a covariate. For body size, data were analyzed
 with a generalized linear mixed model (GLMM) using the “lmer” function,
 with treatment, time, and their interaction as fixed effects, with time as
 a continuous variable, and spider ID as a random effect. ## Access
 information Other publicly accessible locations of the data: * NA Data was
 derived from the following sources: * NA