Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓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 (15.2%) to scientific vocabulary
Keywords
Repository
Radar Software Toolkit (RST)
Basic Info
- Host: GitHub
- Owner: SuperDARN
- License: gpl-3.0
- Language: C
- Default Branch: main
- Homepage: https://superdarn.github.io/rst/
- Size: 220 MB
Statistics
- Stars: 22
- Watchers: 13
- Forks: 21
- Open Issues: 31
- Releases: 14
Topics
Metadata Files
README.md
Radar Software Toolkit
The Radar Software Toolkit (RST) is maintained by the SuperDARN Data Analysis Working Group (DAWG). For general information and updates from the DAWG, visit our website.
Documentation
RST's documentation is currently hosted on two sites:
- RST readthedocs includes the installation guide, RST Tutorials, and SuperDARN data formats: https://radar-software-toolkit-rst.readthedocs.io/en/latest/
- RST API documentation includes the software structure and binary command line description and options: https://superdarn.github.io/rst/
Installation
Installation guide for:
How to cite the RST
Instructions for citing the RST are available on Zenodo. Scroll to the end of the page and choose your perferred citation format.
Data access and usage policy
SuperDARN data are published on FRDR in the rawacf/dat format. These data are licensed under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) license.
Please read the SuperDARN data policy when downloading data from FRDR.
For all usage of SuperDARN data, users are asked to include the following standard acknowledgement text:
The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.
When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. PI contact information can be found here.
For more information, please read citing SuperDARN data.
Contribute to the RST
The DAWG welcomes new testers and developers to join the team. Here are some ways to contribute:
- Test pull requests: to determine which pull requests need to be tested right away, filter them by their milestones
- Discuss issues and answer questions
- Become a developer: if you would like to contribute code to the RST, please submit a new issue on Github, or contact us at darn-dawg at isee dot nagoya-u dot ac dot jp.
Owner
- Name: SuperDARN
- Login: SuperDARN
- Kind: organization
- Website: github.com/superdarn
- Repositories: 10
- Profile: https://github.com/SuperDARN
Github for the international Super Dual Auroral Radar Network (SuperDARN) community
GitHub Events
Total
- Create event: 7
- Release event: 1
- Issues event: 13
- Delete event: 10
- Issue comment event: 78
- Push event: 37
- Pull request review comment event: 31
- Pull request review event: 29
- Pull request event: 21
- Fork event: 4
Last Year
- Create event: 7
- Release event: 1
- Issues event: 13
- Delete event: 10
- Issue comment event: 78
- Push event: 37
- Pull request review comment event: 31
- Pull request review event: 29
- Pull request event: 21
- Fork event: 4
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 8
- Total pull requests: 7
- Average time to close issues: over 1 year
- Average time to close pull requests: 2 months
- Total issue authors: 4
- Total pull request authors: 3
- Average comments per issue: 1.13
- Average comments per pull request: 4.29
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 7
- Pull requests: 6
- Average time to close issues: about 3 hours
- Average time to close pull requests: 28 days
- Issue authors: 4
- Pull request authors: 3
- Average comments per issue: 0.29
- Average comments per pull request: 4.5
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- aburrell (5)
- egthomas (2)
- ksterne (2)
- mj299 (1)
- pasha-ponomarenko (1)
- PajNath (1)
- billetd (1)
- JouleCai (1)
Pull Request Authors
- egthomas (17)
- ksterne (4)
- aburrell (3)
- RemingtonRohel (2)
- berng (1)