Data from: Are molecular markers useful predictors of adaptive potential?

Mittell EA, Nakagawa S, Hadfield JD

Date Published: May 19, 2015

DOI: http://dx.doi.org/10.5061/dryad.6qd88

 

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Title Loci
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Description Loci contains information from both single locus and multiple loci estimates with the following fields: # Study: Reference # Population: Population description given in the source paper # Species: Species # Year: Year measurements made # Season: Season measurements made # Age.Class: Adults or chicks # Sample.size: Number of individuals the estimate is based on # Type.of.loci: Molecular marker used # Total.loci: Number of loci the estimate is based on # Number of sites: Only relevant for nucleotide diversity estimates # Locus: Name of the locus # Mean.diversity: Average diversity for either single or multilocus estimates # SE.Mean.Diversity: Any standard errors reported # SD.Mean.Diversity: Any standard deviations reported # Diversity.Measure: Heterozygosity (Microsatellite, Allozyme, AFLP) or pi (Nucleotide diversities) # Type.of.chromosome: Autosome or sex # Type.of.site: For nucleotide diversities, i.e. silent, intronic, non-coding, synonymous, mixed sites # Sampling strategy: Estimate from single or multiple populations
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Title Quan
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Description Quan contains the heritability and coefficients of additive genetic variance estimates with the following fields: # Study: Reference # Population: Population description given in the source paper # Type.of.relative: The type of relatives used in the estimation. AM = animal model, C = clonal, FS = full-sib, HS = half-sib, MPO = mid-parent-offspring, SPO = single-parent-offspring # Male.Female: Was a maternal or paternal parent used in SPO or forming a HS family # Lab.Field: Lab = laboratory estimates, Field = wild estimates, Field/Lab = parental measurements made in the wild and F1 estimates made in a laboratory # Species: Species # Trait: The trait measured (this is copied and pasted from the original study removing case and white space is necessary) # Group: Information on the experimental groups used. E.g. experimentally different temperatures # Trait.From.Hansen.et.al: Is the initial information for an estimate sourced from Hansen et al. (2011)? Additional information has been added here. # Trait.Type: Classification of the trait into B = behaviour, LH = life-history, M = morphological, P = physiological # Sample.size: Number of individuals used in the estimation # Trait.Mean: Average value for the trait # SD.Trait.Mean: Any standard deviations reported # Precision.Trait.Mean: Any precision reported # Precision.Measure.Trait.Mean: SE = standard error, CI - Confidence intervals, Range # Heritability: Heritability estimate reported # SD.Heritability: Any standard deviations reported # Precision.Heritability: Any precision reported # Precision.Measure.Heritability: SE = standard error, CI - Confidence intervals # Var.H2: Variation in heritability estimate # Cva: Coefficient of additive genetic variance # SE.ia: Standard error reported for CVa
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Title Script
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Description R script to process data and run models.
Download QuantitativeVsMolecular.R (36.96 Kb)
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When using this data, please cite the original publication:

Mittell EA, Nakagawa S, Hadfield JD (2015) Are molecular markers useful predictors of adaptive potential? Ecology Letters 18(8): 772-778. http://dx.doi.org/10.1111/ele.12454

Additionally, please cite the Dryad data package:

Mittell EA, Nakagawa S, Hadfield JD (2015) Data from: Are molecular markers useful predictors of adaptive potential? Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.6qd88
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