DOI: 10.5061/dryad.f4qrfj6v0
title: Respirometry data for cactus mice (Peromyscus eremicus) corresponding to Colella et al. 2021

description: Metabolism is a complex phenotype shaped by natural environmental rhythms,
 as well as behavioral, morphological, and physiological adaptations.
 Metabolism has been historically studied under constant environmental
 conditions, but new methods of continuous metabolic phenotyping now offer
 a window into organismal responses to dynamic environments, and enable
 identification of abiotic controls and the timing of physiological
 responses relative to environmental change. We use indirect calorimetry to
 characterize metabolic phenotypes of the desert-adapted cactus mouse
 (Peromyscus eremicus) in response variable environmental conditions that
 mimic their native environment versus those recorded under constant warm
 and constant cool conditions, while using a constant photoperiod and full
 access to resources. We found significant sexual dimorphism, with males
 being more prone to dehydration than females. Under circadian
 environmental variation, most metabolic shifts occurred prior to physical
 environmental change and the timing was disrupted under both constant
 temperature-humidity treatments. The ratio of CO2 produced to O2 consumed
 (the respiratory quotient) reached greater than 1.0, only during the light
 phase under diurnally variable conditions, a pattern that strongly
 suggests that lipogenesis is contributing to the production of energy and
 endogenous water. Our results are consistent with historical descriptions
 of circadian torpor in this species (torpid by day, active by night), but
 reject the hypothesis that torpor is initiated by food restriction or
 negative water balance.
description: Detailed methods are available in Colella et al. 2021.<br>
 <br> Raw respirometry data were collected on a Sable Systems
 International Field Metabolic System (FMS) at the University of New
 Hampshire. Fourteen individuals were measured for 3 days under baseline
 diurnal conditions and 14 additional individuals were measured under
 constant hot and constant cold conditions. Raw data
 include:<br> 4 Baseline ExpeData (.exp) files:
 RepRec_02-20-2020_cat.exp, RepRec_02-26-2020_cat.exp,
 RepRec_03-10-2020_cat.exp, RepRec_03-15-2020_cat.exp 14
 Cold ExpeData files: 20_april_2020_cat1.exp, 20_april_2020_cat2.exp,
 20_april_2020_cat3.exp, 20_april_2020_cat4.exp, 7June20_0006_cat1.exp,
 7June20_0013_cat2.exp, 7June20_0019_cat3.exp, 7June20_0025_cat4.exp,
 30_april20_0098_cat4.exp, 30_april20_0105_cat5.exp,
 30_april20_0111_cat6.ex, 27_april_2020_cat1.exp, 27_april_2020_cat2.exp,
 27_april_2020_cat3.exp 15 Hot Expedata files:
 3June20_0006_cat1.exp<br> 3June20_0013_cat2.exp,
 3June20_0020_cat3.exp, 3June20_0027_cat4.ex, 29May20_0007_cat1.exp,
 29May20_0018_cat2.exp, 29May20_0027_cat3.ex, 25may20_0006_cat1.exp,
 25may20_0014_cat2.exp, 25may20_0021_cat3.exp, 25may20_0027_cat4.ex,
 18_may20_0007_cat1.exp,, 18_may20_0014_cat2.exp,18_may20_0021_cat3.exp,
 18_may20_0027_cat4.exp<br> <br> Raw data were processed
 through 2 macro files
 (<em><strong>extract-means-Matt-120sec.txt</strong></em> and <em><strong>VO2-VCO2-H2O-120sec_per_cage.txt</strong></em>, available here) to create: <em><strong>analysis_data_final_2July2020.csv </strong></em>which was used in all downstream analyses. <em><strong>all_noOL_F.csv</strong></em> and <em><strong>all_noOL_M.csv</strong></em> represent subsets of <em><strong>analysis_data_final_2July2020.csv </strong></em>that include only females and males, respectively, without outliers that were more than 3 standard deviations from the mean (per: github.com/jpcolella/removeOL.R). All additional analyses detailed in the manuscript were conducted in R using scripts available at github.com/jpcolella/peer_respo.
description: Raw data from the Sable Systems International Field Metabolic
 system was processed using the two macro scripts uploaded
 here: <strong><em>e</em></strong><em><strong>xtract-means-Matt-120sec.txt</strong></em> and <em><strong>VO2-VCO2-H2O-120sec_per_cage.txt</strong></em>, Data: <strong>analysis_data_final_2July2020.csv</strong> is a comma delimited file containing respirometry data for male and female cactus mice for 3 treatment groups (i) baseline/diurnally variable envrionmental conditions, (ii), constant hot and dry conditions, (iii) constant cool and wet conditions. <br> <br> Columns:<br> Sex = M/F indicating Male/Female<br> EE = energy expenditure <br> H2Omg = relative water loss (RWL; mg)<br> RQ = respiratory quotient (ratio of VCO2 / VO2)<br> Animal_ID = individual animal identifier<br> Deg_C = temperature in Celcius<br> weight = animal weight in grams (g)<br> experiment = eperimental treatment group (BL = baseline, Hot, Cold)<br> StartTime = time of measurment initiation (format = "%H:%M:%S")<br> SD_VCO2 = standard deviation (SD) of VCO2<br> SD_VO2 = standard deviation (SD) of VO2<br> VO2 = VO2 estimate for a particular recording<br> VCO2 = VCO2 estimate for a particular recording<br> StartDate = Date (format = "%Y-%m-%d") of a particular recording<br> hour = integer indicating the hour of a particular 120s recording <em><strong>all_noOL_F.csv</strong></em> and <em><strong>all_noOL_M.csv</strong></em>  = Female and male subsets of <em><strong>analysis_data_final_2July2020.csv </strong></em>with outliers (&gt; 3 standard deviations) removed Once processed, csv's can be analyzed following scripts available at: github.com/jpcolella/peer_respo/