amdot-ext-tutorials
Science Score: 65.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
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Organization unsw-oceanography has institutional domain (www.oceanography.unsw.edu.au) -
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: UNSW-oceanography
- Language: MATLAB
- Default Branch: main
- Size: 323 KB
Statistics
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
AMDOT-EXT Data Product Code Tutorials
Code demonstrating how to load the Australian Multi-decadal Ocean Time series EXTreme (AMDOT-EXT) data products, use the NetCDF variables, and export the data as CSV files.
This repository contains python, MATLAB and R code as referenced in the following publication:
Hemming, Michael P., et al. "Exploring Multi-decadal Time Series of Temperature Extremes in Australian Coastal Waters." Earth System Science Data (2024)
Code provided here was developed by Michael Hemming as part of a project funded by the University of New South Wales (UNSW). Code is provided "as is" without any warranty as to fitness for a particular purpose under a Creative Commons 4.0 license (http://creativecommons.org/licenses/by/4.0/)
Michael Hemming. (2024). UNSW-oceanography/AMDOT-EXT-Tutorials: Version 1 of the AMDOT-EXT code tutorials (Version V1). Zenodo. https://doi.org/10.5281/zenodo.10633427
This work is licensed under a Creative Commons Attribution 4.0 International License.
Tutorials
get_DataProducts (MATLAB, Python, R)
This script demonstrates how to:
- Load in the Maria Island 90m AMDOT-EXT data product directly from the AODN thredds server using OPeNDAP
- Extract variables and convert time (MATLAB / R)
- Select data during the longest surface marine heatwave and export as a CSV file
slice_DataProducts (MATLAB, Python, R)
This script demonstrates how to:
- Load in the Port Hacking 100m AMDOT-EXT data product directly from the AODN thredds server using OPeNDAP
- Extract variables at a depth of 22m when there are strong marine heatwaves only, and convert time (MATLAB / R)
- Calculate average cumulative, max, and mean intensity during strong marine heatwaves, as well as mean duration (and print/display this information)
- save the sliced data in various formats (CSV, mat - MATLAB, NetCDF - Python, rdata - R)
Notes
If using R/Python, you will need to install the required package/s. If using Python and are getting errors when running the code it could be that you are using different package versions. Please check the environment file ('AMDOT-EXT_py312.yml') for a list of package versions used for writing the tutorials.
If you wish to save the data files, you will need to modify 'saving_path' to include your chosen local directory.
The MATLAB scripts require the 'load_netCDF.m' function to load in the file from AODN thredds via OPeNDAP.
Owner
- Name: UNSW-oceanography
- Login: UNSW-oceanography
- Kind: organization
- Location: Australia
- Website: http://www.oceanography.unsw.edu.au/index.html
- Repositories: 1
- Profile: https://github.com/UNSW-oceanography
A repository of code used by the Coastal and Regional Oceanography Lab based at the UNSW School of BEES and School of Mathematics and Statistics
Citation (citation.cff)
cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: AMDOT-EXT Data Product Code Tutorials
abstract: Code demonstrating how to load the Australian Multi-decadal Ocean Time series EXTreme (AMDOT-EXT) data products, use the NetCDF variables, and export the data as CSV files.
authors:
- family-names: Hemming
given-names: Michael Paul
orcid: "https://orcid.org/0000-0002-3743-4836"
date-released: "2024-02-08"
identifiers:
- description: Code demonstrating how to load the Australian Multi-decadal Ocean Time series EXTreme (AMDOT-EXT) data products, use the NetCDF variables, and export the data as CSV files.
type: doi
value: ""
license: CC BY 4.0
repository-code: "https://github.com/UNSW-oceanography/AMDOT-EXT-Tutorials/"