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A novel adaptation escapes evolutionary loss by recruiting life-history trade-offs (dataset)

  • Renjie Zhang (Creator)
  • Jack Rayner (Contributor)
  • Lewis Holmes (Contributor)
  • Aniela Dexter (Contributor)
  • Fernando Montealegre-Zapata (Contributor)
  • Nathan Bailey (Supervisor)

Dataset

Description

Dataset related to the manuscript entitled "A novel adaptation escapes evolutionary loss by recruiting life-history trade-offs".
1. Data description:
A detailed description of the dataset and experimental procedures is provided in the method section of the manuscript.
2. Types of files:
1) .md: README file containing detailed instructions for data usage
2) .r: R scripts used for statistical analysis and data visualization
3) .csv: Raw and processed datasets
4) .sh: Bash scripts for data processing and pipeline execution on Linux systems
5) .py: Python scripts for data processing and analysis
3. Software required for use:
Spreadsheet software: Microsoft Excel
Statistical computing: R
Programming language: Python
Operating system: Linux (recommended for execution of shell scripts)
Date made available1 Sept 2026
PublisherUniversity of St Andrews
Date of data production2014 - 2026

Keywords

  • Evolutionary innovation
  • Evolutionary novelty
  • Adaptive evolution
  • Negative pleiotropy
  • Life history trade-off

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