https://doi.org/10.1038/s41598-026-37071-3

Description of the data and file structure

This README file was generated on 2026-01-01 by Lukas Hochleitner

General information

Dataset title

Indirect effects of climate change on major life-history traits in a pulsed-resource consumer

Contributors

• Lukas Hochleitner, University of Veterinary Medicine, Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology

• Shane Morris, University of Veterinary Medicine, Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology

• Maximilian Bastl, Medical University of Vienna, Department of Oto-Rhino-Laryngology

• Thomas Ruf, University of Veterinary Medicine, Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology

• Claudia Bieber, University of Veterinary Medicine, Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology

Corresponding author

Lukas Hochleitner, lukas.hochleitner@vetmeduni.ac.at

Recommended Software for Data Analysis

MARK (White, G. C., and Burnham, K. P. 1999, "Program MARK: survival estimation for populations of marked animals". Bird Study 46, 120-138)

Version 9.0

R Environment for Statistical Computing

Version 4.2.1

Packages

• psych

• ggplot2

• ggpubr

• EnvStats

• MASS

• car

• multcomp

• dplyr

• tidyr

• magrittr

• reshape

• RMark

• R.utils

• car

• ggplot2

• ggpubr

• lme4

• lmtest

• MuMIn

• cvequality

• olsrr

• moments

• fiwidat

• AER

• blmeco

• blme

Files and variables

Body_mass.csv

Table Columns

• ID ... identification number of the individual

• Date ... capture date (format: dd.mm.yyyy)

• Age ... A = adult / Y = yearling

• weight ... body mass in g

• period ... 1 = period 1 (2006-2013) / 2 = period 2 (2014-2022)

Purpose and Utility

Input data for "Body_mass.R"

Data to get results of "3.7 Body mass of dormice" and "Figure 5"

Air_Soil_Tempteratures.csv

Table Columns

• date ... date (format: dd.mm.yyyy)

• month ... month of the year

• temp_Berndorf ... daily mean air temperature measured at weather station Berndorf

• temp_NB ... daily mean air temperature measured in the study area (NA = missing value due to measurement error)

• temp_air_p ... daily mean air temperature of the previous day

• temp_soil ... daily soil temperature measured in the study area at approximately 60 cm underground (NA = missing value due to measurement error)

Purpose and Utility

Input data for "Correlation_Temperature.R"

Data to check correlation between daily mean air temperature in study area and daily mean air temperature at nearest weather station in Berndorf

Data to check correlation between daily mean air temperature of the previous day and daily mean soil temperature

Data to get estimated air temperature of the missing days, and estimated soil temperature of the missing days

Data to get results of Figure S1 (Supporting Information)

Effects_of_soil_temperature.csv

Table Columns

• Year ... capture year

• ID ... identification number of the individual

• Date ... capture date (format: dd.mm.yyyy)

• Day ... day of the year

• Sex ... M = male / F = female

• Age ... A = adult / Y = yearling

• weight ... body mass in g

• mast_prior ... 0 = the year before hibernation was a mast-failure year / 1 = the year before hibernation was a mast year

• oct-may ... mean soil temperature of October to May of the respective hibernation season in °C

Purpose and Utility

Input data for "Effects_of_soil_temperature.R"

Data to get the results of "3.1 Effects of soil temperature on dormice" and Table S2 (Supporting Information)

Environmental_characteristics_I.csv

Table Columns

• year ... year of measurements

• period ... p1 = Period 1 (2006-2013) / p2 = Period 2 (2014-2022)

• pollen ... Annual pollen integral in pollen/m³

• temp ... annual mean air temperature

• mast ... 1 = mast-failure year / 2 = mast year

• reproF ... proportion of reproductively active females

Purpose and Utility

Input data for "Environmental_characteristics.R"

Data to analyse the correlation between the proportion of reproductive active females and mast events

Data to analyse the difference in the annual mean air temperature and the inter-annual variation in annual pollen integrals between periods

Environmental_characteristics_II.csv

Table Columns

• year ... year of measurements

• mast ... Y = mast year / N = mast-failure year

• temp.sum.-1 ... mean air temperature of the summer (June and July) one year before observed year (in the column "year") in °C

• temp.sum.-2 ... mean air temperature of the summer (June and July) two years before observed year (in the column "year") in °C

• temp.-1.-2 ... mean air temperature of the summers (June and July) one and two years before observed year (in column "year") in °C

• pollen ... Annual pollen integral in pollen/m³

Purpose and Utility

Input data for "Environmental_characteristics.R"

Data to analyse the relationship between annual pollen integral and summer temperatures (June and July)

Capture_mark_recapture.csv

Table Columns

• Year ... capture year

• ID ... identification number of the individual

• Date ... capture date (format: dd.mm.yyyy)

• NB ... nestbox, in which the individuals were captured

• Sex ... M = male / F = female

• Age ... J = juvenile / Y = yearling / A = adult

• reproF ... 1 = female was reproductively active / 0 = female was not reproductively active

(NA = female was not captured within the weeks 31 -39, or female was captured twice without juveniles in the same nestbox)

• numberOffspring ... litter size

• f_mast ... 0 = Period 1 (2006-2013) / 1 = Period 2 (2014-2022)

• buchen.pollen.total ... Annual pollen integral in pollen/m³

Purpose and Utility

Input data for "Litter_size.R"

Input data for "Reproductively_active_femalesR"

Data to get results of "3.6 Reproductive activity of females and litter size"

Capture_mark_recapture_pooled.csv

Table Columns

• Year ... capture year

• ID ... identification number of the individual

• Event ... number of year

• Sex ... M = male / F = female

• Age.at.1.capture ... age at first capture (A = adult / Y = yearling)

Purpose and Utility

Input data for "Building_capture_histories_year.R"

Data to create csv-file "Capture_histories.csv" to build Cormack-Jolly-Seber (CJS) models in the R-package "RMark" as well as in the program MARK

Capture_histories.csv

Table Columns

• "" ... number of capture history

• ch ... capture history consisting of "0" and "1"; each digit represents one year; 0 = individual was not captured in the respective year / 1 = individual was captured in the respective year

• Sex ... M = male / F = female

• Age ... A = adult / Y = yearling