Natural sciences | University of Oslo

Oslo Aurora THEMIS (OATH) Training Dataset

Clausen & Nickisch (DOI: 10.1029/2018JA025274) showed that relatively standard, off-the-shelf machine learning tools can be used to effectively and automatically classify auroral images. This dataset contains the training dataset used, and the code with which you can replicate the results.

Information on how to use the dataset can be found here: http://tid.uio.no/plasma/oath/

Lasse ClausenDOI : 10.11582/2021.00055License: Creative Commons Attribution 4.0

527.8 MBBiota

Plasma physics

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Descriptive

Field	Value
Theme	Biota
Subjects	Natural sciences
Type	dataset
Language	English
Status	COMPLETE
Projects
Dataset Size (MB)	527.765468
State	active
Last Modified	2025-11-11T16:17:06

Identifiers

Field	Value
Identifier	00f06da2-1042-44cc-b846-84dac660be98
Other Identifier/DOI	10.11582/2021.00055

Personnel (first name, last name, organisation, email)

Field	Value
Contact points	Contact point 1 Type person First name Lasse Last name Clausen Organisation University of Oslo Email lbnc@uio.no ORCID Name Acronym Contact email Homepage URL ROR
Creators	Creator 1 Type person First name Lasse Last name Clausen Organisation FYS Email lasse.clausen@fys.uio.no ORCID Name Acronym Contact email Homepage URL ROR
Contributors	Contributor 1 First name Lasse Last name Clausen Organisation University of Oslo Email lbnc@uio.no ORCID Type Related Person
Dataset owner	Owner 1 Organisation University of Oslo ROR 01xtthb56
Publisher	NIRD RDA

Constraints

Field	Value
License	CC-BY-4.0
Access Rights	public

Extent

Field	Value
Spatial
Temporal

Reference Dates

Field	Value
Release date	2021-06-10

Field

Value

Release date

2021-06-10

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