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)
PSD
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)
PSD
SSP: ECG
Computed using 134 epochs (from 135 original events)
SSP: EOG
Computed using 18 epochs (from 18 original events)
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.
PSD
PSD calculated from 9 epochs (4.5 s).
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)
PSD
{}
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.
PSD
PSD calculated from 9 epochs (4.5 s).
TFR Power: rest
TFR Power: rest
TFR ITC: rest
TFR Inter-Trial Coherence: rest
Covariance matrix
Singular values
  """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