palaeoclimategradient

Data and code for the manuscript "Phanerozoic climate gradients reconstructed with Bayesian integration of multiple proxies"

https://github.com/keichenseer/palaeoclimategradient

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Data and code for the manuscript "Phanerozoic climate gradients reconstructed with Bayesian integration of multiple proxies"

Basic Info
  • Host: GitHub
  • Owner: KEichenseer
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 465 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Created about 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme Citation

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

GitHub Events

Total
Last Year