palaeoclimategradient
Data and code for the manuscript "Phanerozoic climate gradients reconstructed with Bayesian integration of multiple proxies"
Science Score: 26.0%
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Repository
Data and code for the manuscript "Phanerozoic climate gradients reconstructed with Bayesian integration of multiple proxies"
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Metadata Files
README.md
Bayesian multi-proxy reconstruction of early Eocene latitudinal temperature gradients
Author(s): Kilian Eichenseer and Lewis A. Jones
This repository contains the data and code required to run the analyses and generate the results for the article "Bayesian multi-proxy reconstruction of early Eocene latitudinal temperature gradients" (Eichenseer and Jones, 2023).
To cite the paper:
Kilian Eichenseer and Lewis A. Jones. 2023. Bayesian multi-proxy reconstruction of early Eocene latitudinal temperature gradients. Submitted to Climate of the Past.
Data
The data is organised in the folder "data" as follows:
./data/raw/ This folder contains the raw data before processing.
./data/processed/ This folder contains the processed data that is used in the analyses.
Figures
The "figures" folder contains the four figures and the table of the manuscript, as well as two subfolders:
./figures/discussion/ This folder contains figures from publications that were used to estimate latitudinal gradients referenced in Table 1 and the discussion
./figures/SM/ This folder contains the figures and panels for the supplementary materials.
Analyses
Data analyses is set up to run as follows:
./R/options.R This script defines the options to use in the study (priors, distributions of ecological data, model parameters for the EECO run).
./R/run_analyses.R This script runs the analyses. Careful, the model runs with simulated gradients take many hours to run.
./R/analyses/ This folder contains the R scripts that run the models, as well as subfolders containing scripts processing the modelling results, and analyses for the supplementary materials.
./R/data_preparation/ This folder contains R scripts that organise the data from Hollis et al. 2019, and generate the palaeocoordinates for these data and the palaeoecological data.
./R/figures/ This folder contains the R scripts to generate the figures.
./R/functions/ This folder contains the R scripts with the Bayesian models for latitudinal temperature gradients, as well as auxiliary functions for the modelling and for processing the modelling results.
Results
The "results" folder stores the results generated by the analysis scripts, organised in the following subfolders:
./results/eeco Results from modelling the EECO gradient.
./results/modern/ Results from modelling the modern gradient.
./results/simulation/ Results from modelling the simulated gradients.
./results/SM/ Results for the supplementary materials.
Owner
- Name: Kilian Eichenseer
- Login: KEichenseer
- Kind: user
- Location: Durham, UK
- Company: Durham University
- Website: https://keichenseer.netlify.app/
- Repositories: 2
- Profile: https://github.com/KEichenseer