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Factors contributing to deep slab dip angles in reconstructions of past mantle flow

<p>This repository contains data files for the manuscript &#39;Factors contributing to deep slab dip angles in reconstructions of past mantle flow&#39; submitted to Earth-Science Reviews by J. Weber and N. Flament</p> <p>The provided data are vote maps of global tomographic models and global temperature anomalies for case C10.</p> <p>The directory &#39;pswave_votemap&#39; contains vote maps of 33 global P- and S-wave tomographic models at 32 selected depths between 0 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is &#39;pswave_votemap_$depth.nc&#39; and the file format is NetCDF CF Convention 1.7.</p> <p>The directory &#39;pwave_votemap&#39; contains vote maps of 15 global P-wave tomographic models at 32 selected depths between 0 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is &#39;pwave_votemap_$depth.nc&#39; and the file format is NetCDF CF Convention 1.7.</p> <p>The directory &#39;swave_votemap&#39; contains vote maps of 18 global S-wave tomographic models at 11 selected depths between 396 km and 1040 km (depths were selected to match that available for global mantle flow models). The name convention is &#39;swave_votemap_$depth.nc&#39; and the file format is NetCDF CF Convention 1.7.</p> <p>The directory &#39;C10&#39; contains the present-day temperature anomalies predicted for case C10 at 32 depths between 396 km and 1040 km. The name convention is &#39;C10_dimensional_temperature_anomaly_$depth.nc&#39; or &#39;C10_non_dimensional_temperature_anomaly_$depth.nc&#39; and the file format is NetCDF CF Convention 1.7. Dimensional temperature anomalies were obtained by multiplying non-dimensional temperature anomalies by 3100.</p> <p>These files were created using version 6 of the Generic Mapping Tools (GMT6; Wessel et al., 2019).</p> <p>Please contact nflament@uow.edu.au if you have questions about these files, or require further materials.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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