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CMB heat flux PCA results

<p>Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model&nbsp;in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr&nbsp;and 1131 Myr&nbsp;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