| phantom | ||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| trial_type | subject | run | dip01 | dip02 | dip03 | dip04 | dip05 | dip06 | dip07 | dip08 | dip09 | dip10 | dip11 | dip12 | dip13 | dip14 | dip15 | dip16 | dip17 | dip18 | dip19 | dip20 | dip21 | dip22 | dip23 | dip24 | dip25 | dip26 | dip27 | dip28 | dip29 | dip30 | dip31 | dip32 | dip33 | dip34 | dip35 | dip36 | dip37 | dip38 | dip39 | dip40 | dip41 | dip42 | dip43 | dip44 | dip45 | dip46 | dip47 | dip48 | dip49 | |
| 01 | 01 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | ||
1 rows × 51 columns
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-phantom_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 2023-08-31 at 04:32:40 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: dip01 | |
| Time range | -0.080 – 0.180 s | |
| Baseline | -0.080 – 0.000 s | |
| Sampling frequency | 200.00 Hz | |
| Time points | 53 | |
| Channels | ||
| Magnetometers | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.03 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-phantom_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 2023-08-31 at 04:32:40 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: dip13 | |
| Time range | -0.080 – 0.180 s | |
| Baseline | -0.080 – 0.000 s | |
| Sampling frequency | 200.00 Hz | |
| Time points | 53 | |
| Channels | ||
| Magnetometers | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.03 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-phantom_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 2023-08-31 at 04:32:40 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: dip25 | |
| Time range | -0.080 – 0.180 s | |
| Baseline | -0.080 – 0.000 s | |
| Sampling frequency | 200.00 Hz | |
| Time points | 53 | |
| Channels | ||
| Magnetometers | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.03 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-phantom_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 2023-08-31 at 04:32:40 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: dip37 | |
| Time range | -0.080 – 0.180 s | |
| Baseline | -0.080 – 0.000 s | |
| Sampling frequency | 200.00 Hz | |
| Time points | 53 | |
| Channels | ||
| Magnetometers | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.03 Hz | |
| Lowpass | 40.00 Hz | |
| General | ||
|---|---|---|
| Filename(s) | sub-01_task-phantom_ave.fif | |
| MNE object type | Evoked | |
| Measurement date | 2023-08-31 at 04:32:40 UTC | |
| Participant | sub-01 | |
| Experimenter | mne_anonymize | |
| Acquisition | ||
| Aggregation | average of 1 epochs | |
| Condition | Grand average: dip49 | |
| Time range | -0.080 – 0.180 s | |
| Baseline | -0.080 – 0.000 s | |
| Sampling frequency | 200.00 Hz | |
| Time points | 53 | |
| Channels | ||
| Magnetometers | ||
| Head & sensor digitization | Not available | |
| Filters | ||
| Highpass | 0.03 Hz | |
| Lowpass | 40.00 Hz | |
"""osf.io: KIT phantom data.
See [MNE documentation](https://mne.tools/dev/documentation/datasets.html#kit-phantom-dataset) for more information.
""" # noqa: E501
bids_root = "~/mne_data/MNE-phantom-KIT-data"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/MNE-phantom-KIT-data"
task = "phantom"
ch_types = ["meg"]
# Preprocessing
l_freq = None
h_freq = 40.0
regress_artifact = dict(
picks="meg", picks_artifact=["MISC 001", "MISC 002", "MISC 003"]
)
# Epochs
epochs_tmin = -0.08
epochs_tmax = 0.18
epochs_decim = 10 # 2000->200 Hz
baseline = (None, 0)
conditions = ["dip01", "dip13", "dip25", "dip37", "dip49"]
# Decoding
decode = True # should be very good performance
Platform Linux-7.0.0-1009-aws-x86_64-with-glibc2.39 (X11)
Python 3.14.5 (main, May 12 2026, 13:13:59) [GCC 13.3.0]
Executable /home/circleci/.pyenv/versions/3.14.5/bin/python3.14
CPU Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory 4.0 GiB
Core
├☑ mne 1.13.0.dev294+ga0eb9250f (development, latest release is 1.12.1)
├☑ numpy 2.5.2 (OpenBLAS 0.3.34.0.0 with 2 threads via pthreads)
├☑ scipy 1.18.1
└☑ matplotlib 3.11.1 (backend=agg)
Numerical (optional)
├☑ scikit-learn 1.9.0
├☑ threadpoolctl 3.6.0
├☑ numba 0.67.0
├☑ nibabel 5.4.2
├☑ pandas 3.0.5
├☑ h5io 0.2.5
├☑ h5py 3.16.0
└☐ unavailable nilearn, dipy, openmeeg, python-picard, cupy
Visualization (optional)
├☑ pyvista 0.48.4 (OpenGL 4.5 (Core Profile) Mesa 25.2.8-0ubuntu0.24.04.2 via llvmpipe (LLVM 20.1.2, 256 bits))
├☑ pyvistaqt 0.12.0
├☑ vtk 9.6.2
├☑ qtpy 2.4.3 (PySide6=6.11.2)
└☐ unavailable ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame, trame_client, trame_server, trame_pyvista, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.20.0.dev34+g25f78ddf4
├☑ mne-icalabel 0.9.0
├☑ mne-bids-pipeline 1.11.0.dev68+g1c2c2d8b2
├☑ autoreject 0.5.0.dev5+gb4e218e6
├☑ eeglabio 0.1.3
├☑ edfio 0.4.16
├☑ 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