Skip to main content
zenodoopen

Data for "Updated maps of major oxides and Mg# on the lunar surface"

<p><span>In this study, we added CE-6 lunar soil sample, and used high spatial resolution SELENE (Kaguya) Multiband Imager (MI) spectra data of 59 m/pixel, combined with a deep learning inversion model based on the one-dimensional convolutional neural network (1D-CNN), to present new maps of the major oxides (Al<sub>2</sub>O<sub>3</sub>, CaO, FeO, MgO, TiO<sub>2</sub>) and Mg # (Mg/ (Mg + Fe) in mole percent) values.</span></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