saildronecovarianceflux
Python tools for calculating direct covariance fluxes from Saildrone high-frequency data
Science Score: 28.0%
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
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Repository
Python tools for calculating direct covariance fluxes from Saildrone high-frequency data
Basic Info
- Host: GitHub
- Owner: NOAA-PMEL
- License: other
- Language: Python
- Default Branch: main
- Size: 71.3 KB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SaildroneCovarianceFlux
Python tools for calculating direct covariance fluxes from Saildrone high-frequency data.
Legal Disclaimer
This repository is a scientific product and is not official communication of the National Oceanic and Atmospheric Administration (NOAA), or the United States Department of Commerce (DOC). All NOAA GitHub project code is provided on an 'as is' basis and the user assumes responsibility for its use. Any claims against the DOC or DOC bureaus stemming from the use of this GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation, or favoring by the DOC. The DOC seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by the DOC or the United States Government.
Owner
- Name: Pacific Marine Environmental Laboratory
- Login: NOAA-PMEL
- Kind: organization
- Location: Seattle, WA
- Website: http://www.pmel.noaa.gov
- Repositories: 108
- Profile: https://github.com/NOAA-PMEL
NOAA/PMEL conducts research to advance our knowledge of the global ocean and its interactions with the earth, atmosphere and ecosystems.
Citation (CITATION)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Reeves Eyre" given-names: "Jack" orcid: "https://orcid.org/0000-0001-8893-9810" title: "SaildroneCovarianceFlux" version: 0.1 date-released: 2022-04-25 url: "https://github.com/NOAA-PMEL/SaildroneCovarianceFlux"
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jack Reeves Eyre | j****e@n****v | 4 |
| Jack Reeves Eyre | j****e@g****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: over 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0