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ZENODO
Model . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
ZENODO
Model . 2025
License: CC BY
Data sources: Datacite
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Claim

Trained random-forest classifier to identify discrete features in Jupiter's UV aurora

appsOther research productkeyboard_double_arrow_right Model 28 Nov 2025Publisher:Zenodo
Authors: Head, Linus;

doi: 10.5281/zenodo.17751841 , 10.5281/zenodo.17751840

Trained random-forest classifier to identify discrete features in Jupiter's UV aurora

Abstract

A trained random-forest classifier used to identify discrete features in Jupiter's UV outer emission. It is provided in the form of a Python pickle of variable "model" of an scikit-learn RandomForestClassifier.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average