General
Measurement date | October 14, 1925 12:33:00 GMT |
---|---|
Experimenter | Unknown |
Participant | sub-0002 |
Channels
Digitized points | 6 points |
---|---|
Good channels | 1 misc, 26 Reference Magnetometers, 270 Magnetometers, 3 EEG |
Bad channels | None |
EOG channels | Not available |
ECG channels | Not available |
Data
Sampling frequency | 2400.00 Hz |
---|---|
Highpass | 0.00 Hz |
Lowpass | 1200.00 Hz |
Filenames | sub-0002_ses-01_task-rest_run-01_meg.meg4 |
Duration | 00:09:60 (HH:MM:SS) |
General
Measurement date | October 14, 1910 12:33:00 GMT |
---|---|
Experimenter | mne_anonymize |
Participant | sub-0002 |
Channels
Digitized points | 6 points |
---|---|
Good channels | 1 misc, 26 Reference Magnetometers, 270 Magnetometers, 1 ECG, 2 EOG |
Bad channels | None |
EOG channels | VEOG, HEOG |
ECG channels | ECG |
Data
Sampling frequency | 2400.00 Hz |
---|---|
Highpass | 1.00 Hz |
Lowpass | 40.00 Hz |
Filenames | sub-0002_ses-01_task-rest_run-01_meg.meg4 |
Duration | 00:01:40 (HH:MM:SS) |
Number of events | 9 |
---|---|
Events | rest: 9 |
Time range | 0.000 – 0.500 s |
Baseline | off |
No epochs exceeded the rejection thresholds. Nothing was dropped.
General
Measurement date | October 14, 1910 12:33:00 GMT |
---|---|
Experimenter | mne_anonymize |
Participant | sub-0002 |
Channels
Digitized points | 6 points |
---|---|
Good channels | 1 misc, 26 Reference Magnetometers, 270 Magnetometers, 1 ECG, 2 EOG |
Bad channels | None |
EOG channels | VEOG, HEOG |
ECG channels | ECG |
Data
Sampling frequency | 2400.00 Hz |
---|---|
Highpass | 1.00 Hz |
Lowpass | 40.00 Hz |
Projections | axial-ECG--0.500-0.500)-PCA-01 : off axial-EOG--0.500-0.500)-PCA-01 : off |
Filenames | sub-0002_ses-01_task-rest_run-01_proc-filt_raw.fif |
Duration | 00:01:40 (HH:MM:SS) |
{}
Number of events | 9 |
---|---|
Events | rest: 9 |
Time range | 0.000 – 0.500 s |
Baseline | off |
No epochs exceeded the rejection thresholds. Nothing was dropped.
"""OMEGA Resting State Sample Data."""
import numpy as np
bids_root = "~/mne_data/ds000247"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000247"
subjects = ["0002"]
sessions = ["01"]
task = "rest"
task_is_rest = True
crop_runs = (0, 100) # to speed up computations
ch_types = ["meg"]
spatial_filter = "ssp"
l_freq = 1.0
h_freq = 40.0
rest_epochs_duration = 10
rest_epochs_overlap = 0
epochs_tmin = 0
baseline = None
time_frequency_conditions = ["rest"]
time_frequency_freq_min = 1.0
time_frequency_freq_max = 30.0
time_frequency_cycles = np.arange(time_frequency_freq_min, time_frequency_freq_max) / 4
time_frequency_subtract_evoked = True
Platform Linux-5.15.0-1053-aws-x86_64-with-glibc2.35
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Executable /home/circleci/python_env/bin/python3.10
CPU x86_64 (36 cores)
Memory 69.1 GB
Core
├☑ mne 1.7.0.dev156+g415e7f68e (devel, latest release is 1.6.1)
├☑ numpy 1.26.4 (OpenBLAS 0.3.23.dev with 2 threads)
├☑ scipy 1.12.0
└☑ matplotlib 3.8.3 (backend=agg)
Numerical (optional)
├☑ sklearn 1.4.1.post1
├☑ numba 0.59.1
├☑ nibabel 5.2.1
├☑ pandas 2.2.1
└☐ unavailable nilearn, dipy, openmeeg, cupy
Visualization (optional)
├☑ pyvista 0.43.4 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt 0.11.0
├☑ vtk 9.3.0
├☑ qtpy 2.4.1 (PyQt6=6.6.0)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.15.0.dev43+g17d20c132
├☑ mne-bids-pipeline 1.8.0
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo