Data from <i>Iron </i><i>content‐dependence </i><i>of </i><i>ferropericlase </i><i>elastic </i><i>properties </i><i>across </i><i>the </i><i>spin </i><i>crossover </i><i>from </i><i>novel </i><i>experiments </i><i>and </i><i>machine </i><i>learning.</i> (Trautner et al., 2024)
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Data corresponding to the results presented in Trautner et al. (2024), including: 1) Experimental pressure-volume data from time-resolved XRD measurements in high-pressure experiments on (Mg<sub>0.60</sub>Fe<sub>0.40</sub>)O and (Mg<sub>0.41</sub>Fe<sub>0.59</sub>)O; 2) Posterior probability density functions for (Mg<sub>1-x</sub>Fe<sub>x</sub>)O volume as a function of pressure and iron content, predicted by Mixture Density Networks (MDNs); 3) Mean volumes and bulk moduli and their standard deviations as a function of pressure and iron content, obtained from the MDN predictions.Trautner, V. E., Rijal, A., Plueckthun, C., Satta, N., Koemets, E., Buchen, J., et al. (2024). Iron content‐dependence of ferropericlase elastic properties across the spin crossover from novel experiments and machine learning. Geophysical Research Letters, 51, e2024GL111276. https://doi.org/10.1029/2024GL11127
