Cite this as (APA format)
Winant, A., & Pierrard, V. (2026). L-Time average of longterm EPT proton and electron observations (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/4odiwjpo
Technical info
| Resource format | NetCDF |
|---|---|
| Resource size | 5.9 MB |
Additional info
| Data last updated | March 3, 2026 |
|---|---|
| Metadata last updated | March 5, 2026 |
| Created | March 3, 2026 |
Electrons daily 2024-2025 LT
Electron fluxes observed by the EPT between January 2024 and December 2024. In this file, the data was averaged on L (the McIlwain parameter) and in time (daily). The fluxes are thus averaged in bins of L and time.
The dataset has the following structure:
Coordinates
- name - type - size - min - max - description.
- time_center - datetime64[ns] - 365 - 2024-01-01T12:00:00 - 2024-12-31T12:00:00 - center of the time bins.
- time_edges - datetime64[ns] - 300 - 2024-01-01 - 2024-12-31 - edges of the time bins.
- L_center - float64 - 360 - L=1.05 - L=7.95 - center of the L bins.
- L_center - float64 - 361 - L=1 - L=8 - edges of the L bins.
- var_name - str - 15 - Na - Na - name of all variables in the dataset.
Data variables
- name - type - (coordinates) - (size)
- data_mean - (time_center, L_center, var_name) - (299, 360, 15) averaged variables values in the L-Time bins.
- data_std - (time_center, L_center, var_name) - (299, 360, 15) standard deviation of the variable values in the L-Time bins.
Variable names
EPT electron energy channelse-fl-00 - channel 1 - 0.5-0.6 MeV, e-fl-01 - channel 2 - 0.6-0.7 MeV, e-fl-02 - channel 3 - 0.7-0.8 MeV, e-fl-03 - channel 4 - 0.8-1.0 MeV, e-fl-04 - channel 5 - 1.0-2.4 MeV, e-fl-05 - channel 6 - 2.4-8.0 MeV,
Other variablesB: Intensity of the magnetic field [nT], Long: longitude [°], Lat: latitude [°], PitchU: Unilib pitch angle [°], BvecU-0, BvecU-1, BvecU-2: Unilib magnetic field vectors [nT], LU: Unilib McIlwain parameter [-], MLTU: Unilib magnetic local time [h],
Note: For python users, we recommand using the 'xarray' library to read the dataset easily.