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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: NASA-TROPESS
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 17.2 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

tropess-notes-python

Jupyter Notebooks for TROPESS Notes (in Python)

Setup

For initial setup see:

https://github.com/NASA-TROPESS/tropess-notes/blob/main/dev/setup-macos.md

How to run stuff

Clone this repository:

bash git clone https://github.com/NASA-TROPESS/tropess-notes-python.git

Configure the project to create a local Python virtual environment and install all required Python packages:

```bash

switch dir

cd tropess-notes-python

configure the project

source configure.sh ```

Start Jupyter Lab:

bash jupyter lab

From here pick any of the notebooks (*.ipynb) and try to run it. Before running the code, make sure you have downloaded the TROPESS sample data to ./data as documented in the examples.

Owner

  • Name: NASA-TROPESS
  • Login: NASA-TROPESS
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Kantchev
    given-names: V
    orcid: https://orcid.org/0009-0008-8961-4573
title: "Plotting data from TROPESS Level 2 products"
version: 0.3.0
date-released: 2023-05-23
url: "https://github.com/NASA-TROPESS/tropess-plots/"
institutional affiliation: Jet Propulsion Laboratory, California Institute of Technology.
acknowledgement: These activities were carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). © 2023. All rights reserved. California Institute of Technology, Pasadena, CA. Government sponsorship acknowledged.

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Dependencies

book/requirements-colab.txt pypi
  • basemap ==1.3.8
  • basemap-data-hires ==1.3.2
  • imageio ==2.31.1
  • matplotlib ==3.7.1
  • metpy ==1.5.0
  • netCDF4 ==1.6.3
  • numpy ==1.25.2
  • pandas ==2.0.1
  • pint ==0.22
  • scipy ==1.10.1
book/requirements-sagemaker.txt pypi
  • basemap ==1.3.8
  • basemap-data-hires ==1.3.2
  • imageio ==2.31.1
  • matplotlib ==3.7.1
  • metpy ==1.5.0
  • netCDF4 ==1.6.3
  • numpy ==1.25.2
  • pandas ==2.0.1
  • pint ==0.22
  • scipy ==1.10.1
book/requirements.txt pypi
  • basemap ==1.3.8
  • basemap-data-hires ==1.3.2
  • imageio ==2.31.1
  • matplotlib ==3.7.1
  • metpy ==1.5.0
  • netCDF4 ==1.6.3
  • notebook ==7.2.2
  • numpy ==1.25.2
  • pandas ==2.0.1
  • pint ==0.22
  • pycairo ==1.23.0
  • scipy ==1.10.1