Projects per year
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)
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 available | 1 Sept 2026 |
|---|---|
| Publisher | University of St Andrews |
| Date of data production | 2014 - 2026 |
Keywords
- Evolutionary innovation
- Evolutionary novelty
- Adaptive evolution
- Negative pleiotropy
- Life history trade-off
Projects
- 2 Finished
-
Genomics of Host-Parasite Coevolution: Genomics of Host-Parasite Coevolution: A Test of Arms Race and Red Queen Dynamics in a Wild Insect System
Bailey, N. (PI) & Zhang, X. (CoI)
3/07/22 → 2/07/25
Project: Standard
Student theses
-
Linking genetics, biomechanics, life-history, and behaviour to understand rapid animal signal evolution
Zhang, R. (Author), Bailey, N. W. (Supervisor), 2 Dec 2025Student thesis: Doctoral Thesis (PhD)