Published September 18, 2024 | Version v1
Dataset Open

Inputs and outputs for the training and testing of a deep neural network for surface reconstruction from simulated exospheric measurements

Authors/Creators

  • 1. Istituto di Astrofisica e Planetologia Spaziali

Description

This dataset contains inputs (datasets) and outputs (trainings and tests) used in v2.0 - v2.5 of the paper collection: "Conceptual framework for the application of deep neural networks to surface composition reconstruction from Mercury’s exosphere".

Files

IO_DNN.zip

Files (1.9 GB)

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md5:a30d6b7cde8faee8aa47b60b7789edad
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Additional details

Related works

Is supplement to
Publication: 10.5281/zenodo.15394849 (DOI)
Publication: 10.5281/zenodo.15425584 (DOI)
Publication: arXiv:2505.11053v1 (arXiv)