zenodoopen
CMB heat flux PCA results
<p>Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr and 1131 Myr in the simulation time.</p> <p>-avg_pattern.npy: Spherical harmonic decomposition of the CMB heat flux average pattern</p> <p>-patterns.npy: Spherical harmonic decomposition of the PCA components patterns</p> <p>-sing_val.npy: Singular value of the PCA components</p> <p>-weights.npy: Time dependent weights of the PCA components</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4