This repository contains the code used in the manuscript titled "A comparison of new and established foraminiferal dissolution proxies in tropical Indian Ocean deep-sea sediments". It has been accepted to be published in the AGU journal : Paleoceanography and Paleoclimatology. The manuscript can be found in Chapter 4 of my thesis.
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Jupyter Notebooks
dissolution_manuscript.ipynb: Contains Python-based analyses and visualizations.
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R Scripts
dissolution_manuscript.R: R-based scripts for generating figures and statistical analyses.
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Data Files
dissolution_indices.csv: can be downloaded here: https://www.seanoe.org/data/00904/101616/,foram_frag_morphometry.csv: can be downloaded here: https://www.seanoe.org/data/00750/86211/,
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Other Files
README.md: This file.
- Dissolution Indices: Analysis of dissolution indices using
foram_frag_morphometry.csv. - Visualization: Generation of plots and figures using libraries like
matplotlibandseaborn.
- Figure 3a: Joy plot for Mozambique Channel planktonic foraminifera.
- Figure 3b: Joy plot for Mozambique Channel fragments.
- Figure S1a: Rain cloud plot for MD96-2049.
- Figure S1b: Rain cloud plot for MD96-2066.
pandasmatplotlibseabornnumpy
ggplot2ggdistggpubr
# Clone the repository
git clone https://github.com/your-username/code-for-manuscript-3.git
cd code-for-manuscript-3- Open
dissolution_manuscript.ipynbin Jupyter Notebook or JupyterLab. - Ensure all required Python libraries are installed.
- Run the cells sequentially to reproduce the analyses.
- Open
dissolution_manuscript.Rin RStudio. - Install the required R packages if not already installed.
- Run the script to generate the figures.
If you use this repository, please cite the manuscript:
Adebayo, M. B., Bolton, C. T., Bassinot, F. and de-Garidel Thoron, T. (2025). A comparison of new and established foraminiferal dissolution proxies in tropical Indian Ocean deep-sea sediments. Paleoceanography and Paleoclimatology.
For questions or collaborations, please contact:
Michael B. Adebayo
Email: adebayomichael4@gmail.com