tabascal-dataset
Code to generate datasets with tabascal
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.2%) to scientific vocabulary
Repository
Code to generate datasets with tabascal
Basic Info
- Host: GitHub
- Owner: pritchardn
- License: mit
- Language: Python
- Default Branch: main
- Size: 28.3 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Tabascal-dataset
Code to generate example datasets with tabascal. The datasets and their descriptions are stored on Zenodo.
Feel free to modify the configuration files (or author your own) for your needs. The parameters as they are reflect MeerKAT observations found in the original Tabascal Paper.
Installation
We recommend using conda for environment management
bash
pip install -r requirements.txt
should be all you need.
Additionally, you will need to install Tabascal. Please follow the instructions from GitHub.
Owner
- Name: Nicholas Pritchard
- Login: pritchardn
- Kind: user
- Location: Perth, Western Australia
- Company: University of Western Australia
- Website: https://contact.nicpritchard.com/
- Repositories: 38
- Profile: https://github.com/pritchardn
PhD Candidate at The University of Western Australia - Neuromorphic Computing - Radio Astronomy
Citation (CITATION.cff)
cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Pritchard
given-names: Nicholas James
orcid: https://orcid.org/0000-0003-0587-2310
title: pritchardn/tabascal-dataset: Initial Release
version: 1.0.0
date-released: 2023-10-05