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License: Creative Commons Attribution 4.0 International (CC BY 4.0), 
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Citation: 
Styp-Rekowski, Kevin; Michaelis, Ingo; Stolle, Claudia; Baerenzung, Julien; Korte, Monika; Kao, Odej (2022): GOCE ML-calibrated magnetic field data. V. 0204. GFZ Data Services. https://doi.org/10.5880/GFZ.2.3.2022.002

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This folder contains calibrated magnetic field data obtained from the AOCS magnetometer onboard the GOCE satellite and supporting data.
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The data is provided in NASA CDF format (https://cdf.gsfc.nasa.gov/).
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File name:

For example:
GO_MAG_ACAL_CORR_ML_20091101T004915_20091101T235955_0204.cdf

GO:              GOCE (satellite identifier)
MAG:             Magnetic field data, aligned, calibrated and corrected (data category)
20091101T004915: yyyymmddThhhhhh (time of first entry)
20091101T235955: yyyymmddThhhhhh (time of last entry)
0204:            version 0204 (version identifier)
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Data categories

ACAL_CORR_ML:	Magnetic field data, aligned, calibrated and corrected using Machine Learning method
CHAOS7:			CHAOS7 magnetic model predictions for core, crustal and large-scale magnetospheric field

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References:

Styp-Rekowski, K., Michaelis, I., Stolle, C. et al. Machine learning-based calibration of the GOCE satellite platform magnetometers. Earth Planets Space 74, 138 (2022). https://doi.org/10.1186/s40623-022-01695-2
Michaelis, I., Styp-Rekowski, K., Rauberg, J. et al. Geomagnetic data from the GOCE satellite mission. Earth Planets Space 74, 135 (2022). https://doi.org/10.1186/s40623-022-01691-6

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Contact:

Kevin Styp-Rekowski (styp@gfz-potsdam.de)
Monika Korte (monika.korte@gfz-potsdam.de)
Ingo Michaelis (ingo.michaelis@gfz-potsdam.de)