wind-energy-plotting
Tools for plotting wind energy data for RUCOOL's website
Science Score: 52.0%
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
-
○Academic email domains
-
✓Institutional organization owner
Organization rucool has institutional domain (rucool.marine.rutgers.edu) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.3%) to scientific vocabulary
Repository
Tools for plotting wind energy data for RUCOOL's website
Basic Info
Statistics
- Stars: 4
- Watchers: 7
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Wind Energy Plotting
Tools for the manipulation and visualization of data products to help inform wind energy research and development. These tools are primarily used to create images that populate RUCOOL's Coastal Metocean Monitoring Station and RUWRF Mesoscale Meteorological Model webpages.
Rutgers University Center for Ocean Observing Leadership
Installation Instructions
Add the channel conda-forge to your .condarc. You can find out more about conda-forge from their website: https://conda-forge.org/
conda config --add channels conda-forge
Clone the wind-energy-plotting repository.
git clone https://github.com/rucool/wind-energy-plotting.git
Change your current working directory to the location that you downloaded wind-energy-plotting.
cd /Users/lgarzio/Documents/repo/wind-energy-plotting/
Create conda environment from the included environment.yml file:
conda env create -f environment.yml
Once the environment is done building, activate the environment:
conda activate wind-energy-plotting
Install the toolbox to the conda environment from the root directory of the wind-energy-plotting toolbox:
pip install .
The toolbox should now be installed to your conda environment.
Citation
Owner
- Name: RUCOOL
- Login: rucool
- Kind: organization
- Location: New Brunswick, NJ
- Website: https://rucool.marine.rutgers.edu
- Repositories: 11
- Profile: https://github.com/rucool
Rutgers University - Center for Ocean Observing Leadership
Citation (CITATION.cff)
# YAML 1.2
---
abstract: "Tools for manipulation and visualization of data products to help inform wind energy research and development. These tools are primarily used to create images that populate RUCOOL's RUWRF webpages: https://rucool.marine.rutgers.edu/data/meteorological-modeling/ruwrf-mesoscale-meteorological-model-forecast/ and https://rucool.marine.rutgers.edu/data/meteorological-modeling/coastal-metocean-monitoring-station/"
authors:
-
affiliation: "Rutgers University Center for Ocean Observing Leadership"
family-names: Garzio
given-names: Lori
cff-version: "1.1.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/rucool/wind-energy-plotting"
title: "Wind Energy Plotting"
...
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1