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