micromet
Scripts to process raw Eddy Covariance data for estimation of evapotranspiration
Science Score: 44.0%
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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
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Repository
Scripts to process raw Eddy Covariance data for estimation of evapotranspiration
Basic Info
- Host: GitHub
- Owner: inkenbrandt
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 105 MB
Statistics
- Stars: 9
- Watchers: 4
- Forks: 3
- Open Issues: 8
- Releases: 38
Metadata Files
README.md
MicroMet
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Current Conda release info
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Description
Scripts to process half-hourly Eddy Covariance data from Campbell Scientific CR6 dataloggers running EasyFluxDL for submission to the Ameriflux Data Portal.
Utah Flux Network stations have a dual-CR6 setup, where one CR6 runs the EasyFluxDL program, and the other CR6 collects redundant meteorological data.
These scripts can add missing headers and compile existing downloads of half-hourly data. They help the data conform to Ameriflux's formatting standards.
Documentation
Documentation can be found on readthedocs
Data Processing Workflow
- Process data on the fly using EasyfluxDL; Provide immediate data through UGS portal
- QA/QC processed data to see if it meets quality checks
- Reprocess data manually, focusing on low quality datasets
- Upload refined data to Ameriflux
Ameriflux
Owner
- Name: Paul
- Login: inkenbrandt
- Kind: user
- Location: United States
- Company: Utah Geological Survey
- Repositories: 131
- Profile: https://github.com/inkenbrandt
Geologist
Citation (CITATION.cff)
cff-version: 0.2.0
title: Micromet
message: Please cite this software using these metadata.
type: software
authors:
- given-names: Paul
family-names: Inkenbrandt
affiliation: Utah Geological Survey
orcid: 'https://orcid.org/0000-0002-9194-5936'
email: paulinkenbrandt@utah.gov
- given-names: Kathryn
family-names: Ladig
affiliation: Utah Geological Survey
email: kladig@utah.gov
GitHub Events
Total
- Create event: 32
- Issues event: 11
- Release event: 35
- Watch event: 1
- Delete event: 1
- Member event: 2
- Issue comment event: 12
- Push event: 65
- Pull request event: 2
- Fork event: 1
Last Year
- Create event: 32
- Issues event: 11
- Release event: 35
- Watch event: 1
- Delete event: 1
- Member event: 2
- Issue comment event: 12
- Push event: 65
- Pull request event: 2
- Fork event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 14
- Total pull requests: 6
- Average time to close issues: 29 days
- Average time to close pull requests: about 1 month
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 1.14
- Average comments per pull request: 0.17
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 14
- Pull requests: 2
- Average time to close issues: 29 days
- Average time to close pull requests: about 3 hours
- Issue authors: 3
- Pull request authors: 1
- Average comments per issue: 1.14
- Average comments per pull request: 0.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- wetlandsDiane (10)
- kladig (2)
- inkenbrandt (2)
Pull Request Authors
- kladig (4)
- inkenbrandt (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 326 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 26
- Total maintainers: 1
pypi.org: micromet
A comprehensive Python package for micrometeorological data analysis
- Homepage: https://github.com/inkenbrandt/micromet
- Documentation: https://micromet.readthedocs.io/en/stable/
- License: GNU General Public License v3.0
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Latest release: 0.2.1
published 7 months ago
Rankings
Maintainers (1)
Dependencies
- matplotlib *
- numpy *
- pandas *
- plotly *
- pytest *
- pyyaml *
- scikit-learn *
- scipy *
- sphinx *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
- statsmodels *
- actions/checkout v4 composite
- actions/setup-python v5 composite