Precomputed results for Geodesic Slice Sampling on the Sphere (GeoSSS) paper
<p>Precomputed results used in the publication titled "<a href="https://arxiv.org/abs/2301.08056">Geodesic Slice Sampling on the Sphere</a>". This can be used with our package on Github: <a href="https://github.com/microscopic-image-analysis/geosss">https://github.com/microscopic-image-analysis/geosss</a></p> <p>Follow the below steps:</p> <p>1. Download and unzip all the files. </p> <p>2. Clone the github repository and navigate to the root directory.</p> <pre><code>git clone https://github.com/microscopic-image-analysis/geosss.git cd geosss</code></pre> <p>3. Move the data to a new <em>"results"</em> directory inside the repository. After unzipping folders from "<em>mixture_vMF_d10_K5_kappa50" </em>to <em>"mixture_vMF_d10_K5_kappa500" </em>(10 folders), please move them to a new <em>"results/mix_vMF_d10_K5"</em> directory.</p> <p>4. You can use the "geosss/scripts" directory to use these precomputed results and plot them, see the info on the <a href="https://github.com/microscopic-image-analysis/geosss/tree/main">GitHub repository</a> for installing the package. </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4