A dataset containing yearly trait values for each study. Other attributes of the data represent study-specific meta-data.
A data frame with 118423 rows and 33 columns:
First (if the paper was co-authored by more than 2 authors) or first two authors of the paper
Journal in which the study was published
Publication year
Paper title
Duration of the study as reported in the paper
Latin name of the study species
A taxon: Aves, Mammalia, Reptilia, Amphibia, Arachnida, Insecta
Study location as reported in the paper
A country where the study was conducted
A two-letter code of the country where the study took place
Type of phenotypic trait as reported in the paper
Trait as reported in the study
Trait category: phenological or morphological
Type of climatic variable as reported in the paper
Categorization of climatic variables into groups including similar climatic variables
Category of climatic variable: temperature or precipitation
Value of the climatic variable measured each year
Mean population trait value per year
Standard error of the yearly mean population trait value
Number of data points available to measure mean yearly population trait value (and SE)
Fitness measure as reported in the paper
Fitness category: recruitment, reproduction and adult survival
A measure of population abundance as reported in the paper
Values of climatic variables standardized so that they are comparable among studies
ID of the paper (as in Supplementary Table S3) from which the study was taken
Categorization of morphological traits into 3 groups, depending on the type of measure: 'skeletal', 'Mass', and 'Both' (set NA for phenological traits)
Whether the study species is endothermic ('Warm') or not ('Cold')
Categorization of phenological traits into 3 groups: 'arrival', 'breeding' and 'development', as in Cohen et al. 2018 (set NA for morphological traits)
Dataset to which the study belongs: PRCS if selection data are available and PRC otherwise
A unique study id
Year when the observation was made
Scaled trait values for comparison among studies
Scaled standard error of the trait values for comparison among studies
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