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coral-visualization

This repository contains a Jupyter Notebook for common visualizations of paleoclimate coral records.

https://github.com/khider/coral-visualization

Science Score: 67.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

This repository contains a Jupyter Notebook for common visualizations of paleoclimate coral records.

Basic Info
  • Host: GitHub
  • Owner: khider
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 303 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

DOI Binder

Visualizing Paleoclimate Coral Records

Motivation

This repository contains a Jupyter Notebook for common visualizations of paleoclimate coral records. The notebook provides a streamlined approach to analyzing and interpreting coral geochemistry data (e.g., δ¹⁸O, Sr/Ca) to reconstruct paleoclimate variability.

Authors

Deborah Khider ORCID logo 0000-0001-7501-8430

Contributors

Features:

✅ Use of NOAA Paleoclimate API to retrieve a dataset
✅ Time-series visualization of coral records
✅ Customizable plots for publication-ready figures

The notebook is designed for paleoclimatologists, oceanographers and climate scientists working with coral archives. Contributions and feedback are welcome!

Data

Please cite:

Tangri, N., Dunbar, R.B., Linsley, B.K. and Mucciarone, D.M. (2018), ENSO's Shrinking Twentieth-Century Footprint Revealed in a Half-Millennium Coral Core From the South Pacific Convergence Zone. Paleoceanography and Paleoclimatology, 33: 1136-1150. https://doi.org/10.1029/2017PA003310

Data is archived on the NOAA NCEI website.

Running the Notebooks

🔗 Get started: Open the notebook in Jupyter, use nbviewer or myBinder.

Running on your local machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

  1. Clone the https://github.com/khider/coral-visualization repository:

bash git clone https://github.com/khider/coral-visualization.git

  1. Move into the coral-visualization directory bash cd coral-visualization
  2. Create and activate your conda environment from the environment.yml file bash conda env create -f environment.yml conda activate coralviz
  3. Start up Jupyterlab bash jupyter lab

Running inside a Docker container

📜 License: [Specify your license, e.g., MIT]

Owner

  • Name: Deborah Khider
  • Login: khider
  • Kind: user
  • Location: Los Angeles, CA
  • Company: University of Southern California

Paleoceanographer.

Citation (CITATION.cff) 

cff-version: 2025.02.12.1
message: "If you use this tutorial example, please cite it as below."
authors:
  - family-names: "Khider"
    given-names: "Deborah"
    orcid: "https://orcid.org/0000-0001-7501-8430"
title: "Visualizing Paleoclimate Coral Records"
version: v2025.02.10
date-released: 2025-02-12
doi:  10.5281/zenodo.14847181
url: "https://github.com/khider/coral-visualization"

GitHub Events

Total
  • Create event: 8
  • Issues event: 2
  • Release event: 2
  • Watch event: 1
  • Delete event: 4
  • Push event: 19
  • Pull request event: 8
Last Year
  • Create event: 8
  • Issues event: 2
  • Release event: 2
  • Watch event: 1
  • Delete event: 4
  • Push event: 19
  • Pull request event: 8

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 1
  • Total pull requests: 9
  • Average time to close issues: 16 minutes
  • Average time to close pull requests: less than a minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 9
  • Average time to close issues: 16 minutes
  • Average time to close pull requests: less than a minute
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
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