Zenodo package for Mao et al. AAS journal submitted
<p>The supplementary materials here contain data and python3 notebooks to reproduce figures in the paper submitted by Mao et al. to the AAS journal. </p> <p>To run the notebooks via Anaconda 3<br> Step 1: Download and install <a href="https://www.anaconda.com/distribution/">Anaconda 3</a> on your computer. Once you are under the Anaconda 3 environment, you can continue with this tutorial.</p> <p>Step 2: Download and unpack the tarball from Zenodo.</p> <pre><code>tar -xvf handhelike-zenodo.tar.gz</code></pre> <p> Step 3: Install the dependencies (incl. numpy, scipy, etc.) via pip or conda if required</p> <pre><code>cd zenodo pip install -r requirements.txt conda install --yes --file requirements.txt</code></pre> <p>Step 4: Run the python notebooks.</p> <pre><code>cd pynb python run_plot_cfcsd.py</code></pre> <p> </p>
ShareScore
12/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- July 2, 2022
- License
- Not reported
- DOI
- 10.5281/zenodo.6792071
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.