Data and code supporting the publication "The importance of realistic noise characteristics in neural network inversion of airborne electromagnetic data"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Kirkby, Alison, Miller, Craig
DOI: 10.5281/zenodo.17783893
Cited by: 0

Abstract

This data and code supports the following published article: Kirkby, Alison, and Miller, Craig, 2026. The importance of realistic noise characteristics in neural network inversion of airborne electromagnetic data. Geophysical Journal International.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 April 2026
Document type
Dataset