Scientific Data (May 2022)
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
- Matej Petković,
- Luke Lucas,
- Jurica Levatić,
- Martin Breskvar,
- Tomaž Stepišnik,
- Ana Kostovska,
- Panče Panov,
- Aljaž Osojnik,
- Redouane Boumghar,
- José A. Martínez-Heras,
- James Godfrey,
- Alessandro Donati,
- Sašo Džeroski,
- Nikola Simidjievski,
- Bernard Ženko,
- Dragi Kocev
Affiliations
- Matej Petković
- Bias Variance Labs
- Luke Lucas
- LSE Space GmbH
- Jurica Levatić
- Jožef Stefan Institute
- Martin Breskvar
- Jožef Stefan Institute
- Tomaž Stepišnik
- Bias Variance Labs
- Ana Kostovska
- Bias Variance Labs
- Panče Panov
- Bias Variance Labs
- Aljaž Osojnik
- Jožef Stefan Institute
- Redouane Boumghar
- European Space Agency – ESA, ESOC
- José A. Martínez-Heras
- Solenix GmbH
- James Godfrey
- European Space Agency – ESA, ESOC
- Alessandro Donati
- European Space Agency – ESA, ESOC
- Sašo Džeroski
- Jožef Stefan Institute
- Nikola Simidjievski
- Bias Variance Labs
- Bernard Ženko
- Jožef Stefan Institute
- Dragi Kocev
- Bias Variance Labs
- DOI
- https://doi.org/10.1038/s41597-022-01336-z
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 8
Abstract
Measurement(s) electric current Technology Type(s) current readings in spacecraft housekeeping telemetry Sample Characteristic - Environment outer space
