Bad channels marked in original data:
None
| General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_eeg.edf | |
| MNE object type | RawEDF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Duration | 00:04:00 (HH:MM:SS) | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 245,760 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 512.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_eeg.edf | |
| MNE object type | RawEDF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Duration | 00:04:00 (HH:MM:SS) | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 245,760 | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| MNE object type | Epochs | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Total number of events | 22 | |
| Events counts | rest: 22 | |
| Time range | 0.000 – 10.000 s | |
| Baseline | off | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 10,241 | |
| Metadata | No metadata set | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (off) | |
No epochs exceeded the rejection thresholds. Nothing was dropped.
{}
| General | ||
|---|---|---|
| Filename(s) | sub-010_ses-t1_task-resteyesc_epo.fif | |
| MNE object type | EpochsFIF | |
| Measurement date | 2017-05-09 at 12:11:44 UTC | |
| Participant | sub-010 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Total number of events | 22 | |
| Events counts | rest: 22 | |
| Time range | 0.000 – 10.000 s | |
| Baseline | off | |
| Sampling frequency | 1024.00 Hz | |
| Time points | 10,241 | |
| Metadata | No metadata set | |
| Channels | ||
| EEG | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.00 Hz | |
| Lowpass | 40.00 Hz | |
| Projections | Average EEG reference (on) | |
No epochs exceeded the rejection thresholds. Nothing was dropped.
"""ds003775: Resting-state EEG.
SRM Resting State EEG Dataset.
See [OpenNeuro](https://openneuro.org/datasets/ds003775) for more information.
"""
bids_root = "~/mne_data/ds003775"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds003775"
ignore_warnings = [
r"Unable to map the following column\(s\)", # metadata
]
subjects = ["010"]
reader_extra_params = {"units": "uV"}
sessions = ["t1"]
run_source_estimation = False
ch_types = ["eeg"]
baseline = None
reject = None
spatial_filter = None
h_freq = 40
l_freq = None
task = "resteyesc"
task_is_rest = True
epochs_tmin = 0.0
epochs_tmax = 10.0
rest_epochs_overlap = 0.0
rest_epochs_duration = 10.0
baseline = None
parallel_backend = "loky"
dask_open_dashboard = True
log_level = "info"
n_jobs = 1
report_image_format = dict(raster="png")
Platform Linux-7.0.0-1004-aws-x86_64-with-glibc2.43 (X11)
Python 3.14.4 (main, May 12 2026, 13:57:53) [GCC 15.2.0]
Executable /home/circleci/python_env/bin/python3
CPU AMD EPYC 9R45 (2 cores)
Memory 7.6 GiB
Core
├☑ mne 1.14.0.dev112+g8f498626a (development, latest release is 1.13.2)
├☑ numpy 2.5.4 (OpenBLAS 0.3.34.106.0 with 2 threads via pthreads)
├☑ scipy 1.18.1
└☑ matplotlib 3.11.2 (backend=agg)
Numerical (optional)
├☑ scikit-learn 1.9.1
├☑ threadpoolctl 3.7.0
├☑ numba 0.68.0
├☑ nibabel 5.4.2
├☑ pandas 3.0.6
├☑ h5io 0.2.5
├☑ h5py 3.16.0
└☐ unavailable nilearn, dipy, openmeeg, python-picard, jamica, cupy
Visualization (optional)
├☑ pyvista 0.49.1 (OpenGL 4.5 (Core Profile) Mesa 26.0.8-1ubuntu0.3 via llvmpipe (LLVM 21.1.8, 256 bits))
├☑ pyvistaqt 0.13.1
├☑ vtk 9.7.1
├☑ qtpy 2.4.3 (PySide6=6.12.0)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.21.0.dev10+ga582be8f8
├☑ mne-icalabel 0.10.0
├☑ mne-bids-pipeline 1.11.0.dev86+ge2a34cf44
├☑ autoreject 0.6.0.dev2+g2f72b264
├☑ eeglabio 0.1.4
├☑ edfio 0.4.18
├☑ curryreader 0.1.2
├☑ mffpy 0.11.0
├☑ pybv 0.8.1
├☑ defusedxml 0.7.1
└☐ unavailable mne-nirs, mne-features, mne-connectivity, neo, pymef, antio