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Datasets concerning "Variations of Heat Flux and Elastic Thickness of Mercury from Thermal Evolution Modeling"

<p><strong>Datasets concerning timeseries from average temperature profiles:</strong></p> <p>Average_profiles.rar</p> <p>Tables containing the time evolution of the elastic lithospheric thickness calculated with the average mantle temperature profile.<br>Calculations have been done with dry and wet rheologies (crust and mantle), using the conversion package from :<br>"Adrien Broquet. AB-Ares/Te_HF_Conversion: 0.2.3 (Version 0.2.3). Zenodo. <a href="http://doi.org/10.5281/zenodo.4973893" rel="nofollow">http://doi.org/10.5281/zenodo.4973893</a>"<br>In total 32 tables, 16 for each rheology.</p> <p>&nbsp;</p> <p><strong>Datasets concerning timeseries from localized temperature profiles:</strong></p> <div> <div>Localized_profiles.rar</div> </div> <p>Tables containing the time evolution of the elastic lithospheric thickness calculated with the respective localized mantle temperature profile of each investigated point of interest (Caloris Basin, Discovery Rupes, Goossens et al., 2022 points 1-4).<br>Calculations have been done with dry and wet rheologies (crust and mantle), using the conversion package from :<br>"Adrien Broquet. AB-Ares/Te_HF_Conversion: 0.2.3 (Version 0.2.3). Zenodo. <a href="http://doi.org/10.5281/zenodo.4973893" rel="nofollow">http://doi.org/10.5281/zenodo.4973893</a>"<br>In total 32 tables, 16 for each rheology.</p> <p>&nbsp;</p> <p><strong>Datasets concerning maps of CMB heat flux at present day:</strong></p> <p>LatLon_Maps.rar</p> <p>Tables containing present day output of the CMB heat flux for each case investigated<br>Format in each file is : <br>Longitude | Latitude | CMB heat flux <br>1 degree of resolution<br>A python code is provided to visualize easily the data (Map_visualization.py)</p> <div>&nbsp;</div> <div>&nbsp;</div> <div>Sh_Maps.rar</div> <div>&nbsp;</div> <div>Tables containing present day output of the CMB heat flux for each case investigated under the form of spherical harmonics coeffcients, up to the spherical harmonic degree 59.</div> <div>A python code is provided in order to plot easily the spherical harmonics data (PlottingSH_maps.py).</div> <div>&nbsp;</div> <div>&nbsp;</div> <p>&nbsp;</p>

ShareScore

32/100

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
0