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Zenodo package for Mao et al. AAS journal submitted

<p>The supplementary materials here contain data and&nbsp;python3 notebooks to reproduce figures in the paper submitted by Mao et al. to the AAS journal.&nbsp;</p> <p>To run the notebooks&nbsp;via Anaconda 3<br> Step 1: Download and install <a href="https://www.anaconda.com/distribution/">Anaconda 3</a>&nbsp;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>&nbsp;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&nbsp;notebooks.</p> <pre><code>cd pynb python run_plot_cfcsd.py</code></pre> <p>&nbsp;</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

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