rsclimatelab

A project focused on climate data and tooling for Rio Grande do Sul in Brazil.

https://github.com/perone/rs-climate-lab

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.3%) to scientific vocabulary

Keywords

climate-data climate-science ecmwf-reanalysis-data era5 flooding machine-learning
Last synced: 6 months ago · JSON representation ·

Repository

A project focused on climate data and tooling for Rio Grande do Sul in Brazil.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
climate-data climate-science ecmwf-reanalysis-data era5 flooding machine-learning
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

RS Climate Lab

A project focused on climate data and tooling for Rio Grande do Sul in Brazil.

📖 Documentation

Please see here for the documentation about:

  • Installation
  • Getting started
  • Tutorials
  • API documentation

💁 Contributing

We are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation. Please open an issue to discuss what you want to contribute first so we can coordinate with others that might be working on the same feature.

📮 Contact

For questions or comments regarding the usage of this repository, please use the discussion section on Github. For bug reports and feature requests, please open an issue on GitHub.

🌟 Contributors

rs-climate-lab contributors

Logo credits

Logo image provided for free by vecteezy.com.

Owner

  • Name: Christian S. Perone
  • Login: perone
  • Kind: user
  • Location: London, United Kingdom

Machine Learning / Research

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Perone
    given-names: Christian
title: "RS Climate Lab"
version: 0.3.0
date-released: 2024-06-20

GitHub Events

Total
  • Watch event: 2
  • Fork event: 1
Last Year
  • Watch event: 2
  • Fork event: 1

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 27
  • Total Committers: 1
  • Avg Commits per committer: 27.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 27
  • Committers: 1
  • Avg Commits per committer: 27.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christian S. Perone c****e@g****m 27

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • 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
Top Authors
Issue Authors
Pull Request Authors
  • perone (6)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 19 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
pypi.org: rsclimatelab

A project focused on climate data and tooling for Rio Grande do Sul in Brazil.

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 19 Last month
Rankings
Dependent packages count: 10.8%
Average: 36.0%
Dependent repos count: 61.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

setup.py pypi
  • dask *
  • rich >=13.7.0