Upload BNCI2014_001 EEGWindowsDataset (continuous)
Browse files- .gitattributes +10 -0
- README.md +37 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/0 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/1 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/2 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/3 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/4 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/5 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/6 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/7 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/8 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/c/0/9 +3 -0
- derivatives/braindecode/dataset.zarr/recording_0/data/zarr.json +42 -0
- derivatives/braindecode/dataset.zarr/recording_0/zarr.json +12 -0
- derivatives/braindecode/dataset.zarr/zarr.json +15 -0
- derivatives/braindecode/dataset_description.json +16 -0
- derivatives/braindecode/participants.tsv +2 -0
- derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_channels.tsv +27 -0
- derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_eeg.json +17 -0
- derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_events.tsv +49 -0
- format_info.json +2 -0
.gitattributes
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dataset.zarr/recording_0/data/0.7 filter=lfs diff=lfs merge=lfs -text
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README.md
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- eeg
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- neuroscience
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- brain-computer-interface
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license: unknown
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---
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| Number of windows / samples | 48 |
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| Total size | 19.22 MB |
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| Storage format | zarr |
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## Usage
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# metainfo shape: [batch_size, 2] (start and end indices)
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# Process your batch...
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## Dataset Format
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This dataset is stored in **Zarr** format, optimized for:
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- eeg
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- neuroscience
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- brain-computer-interface
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- bids
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license: unknown
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---
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| Number of windows / samples | 48 |
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| Total size | 19.22 MB |
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| Storage format | zarr |
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| BIDS compatible | Yes |
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## Usage
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# metainfo shape: [batch_size, 2] (start and end indices)
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# Process your batch...
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## BIDS-like Structure
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This dataset follows a BIDS derivatives-like structure for compatibility with
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neuroimaging tools while maintaining efficiency for deep learning:
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```
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derivatives/braindecode/
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├── dataset_description.json # BIDS dataset description
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├── participants.tsv # Subject-level metadata
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├── dataset.zarr/ # Main data (optimized for training)
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└── sub-<label>/
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└── eeg/
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├── *_events.tsv # Trial/window events
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├── *_channels.tsv # Channel information
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└── *_eeg.json # Recording metadata
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```
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### Accessing BIDS Metadata
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After loading the dataset, BIDS metadata is available:
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```python
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# Access participants info
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if hasattr(dataset, "participants"):
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print(dataset.participants)
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# Access events for a recording
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if hasattr(dataset.datasets[0], "bids_events"):
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print(dataset.datasets[0].bids_events)
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# Access channel info
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if hasattr(dataset.datasets[0], "bids_channels"):
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print(dataset.datasets[0].bids_channels)
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```
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## Dataset Format
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This dataset is stored in **Zarr** format, optimized for:
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{
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"attributes": {
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"metadata": "{\"columns\":[\"i_window_in_trial\",\"i_start_in_trial\",\"i_stop_in_trial\",\"target\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],\"data\":[[0,750,1750,3],[0,2753,3753,0],[0,4671,5671,2],[0,6623,7623,1],[0,8631,9631,1],[0,10742,11742,2],[0,12659,13659,0],[0,14709,15709,3],[0,16640,17640,2],[0,18638,19638,0],[0,20544,21544,1],[0,22439,23439,1],[0,24411,25411,1],[0,26355,27355,3],[0,28322,29322,2],[0,30442,31442,2],[0,32450,33450,1],[0,34516,35516,1],[0,36552,37552,0],[0,38618,39618,1],[0,40688,41688,2],[0,42768,43768,3],[0,44680,45680,3],[0,46711,47711,0],[0,48664,49664,1],[0,50625,51625,3],[0,52729,53729,3],[0,54733,55733,2],[0,56708,57708,3],[0,58734,59734,3],[0,60805,61805,2],[0,62912,63912,1],[0,65004,66004,2],[0,67095,68095,0],[0,69138,70138,0],[0,71202,72202,0],[0,73222,74222,3],[0,75194,76194,0],[0,77157,78157,1],[0,79082,80082,3],[0,81163,82163,2],[0,83141,84141,0],[0,85131,86131,2],[0,87250,88250,0],[0,89156,90156,3],[0,91084,92084,2],[0,93198,94198,0],[0,95257,96257,1]]}",
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"metadata_dtypes": "{\"i_window_in_trial\":\"int64\",\"i_start_in_trial\":\"int64\",\"i_stop_in_trial\":\"int64\",\"target\":\"int64\"}",
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"description": "{\"subject\":1,\"session\":\"0train\",\"run\":\"0\"}",
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0.12667292418209622, 0.0, 0.0, 0.0, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 2, \"name\": \"FIFFV_EEG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 1, \"name\": \"FIFFV_COIL_EEG\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 4, \"name\": \"FIFFV_COORD_HEAD\"}, \"ch_name\": \"Pz\", \"scanno\": 20, \"logno\": 20}, {\"loc\": [0.02988639367294514, -0.04503254211011842, 0.12074781507025116, 0.0, 0.0, 0.0, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 2, \"name\": \"FIFFV_EEG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 1, \"name\": \"FIFFV_COIL_EEG\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 4, \"name\": \"FIFFV_COORD_HEAD\"}, \"ch_name\": \"P2\", \"scanno\": 21, \"logno\": 21}, {\"loc\": [-0.00189982442989459, -0.06805409916590743, 0.09590999936124336, 0.0, 0.0, 0.0, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 2, \"name\": \"FIFFV_EEG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 1, \"name\": \"FIFFV_COIL_EEG\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 4, \"name\": \"FIFFV_COORD_HEAD\"}, \"ch_name\": \"POz\", \"scanno\": 22, \"logno\": 22}, {\"loc\": [NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 202, \"name\": \"FIFFV_EOG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COIL_NONE\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COORD_UNKNOWN\"}, \"ch_name\": \"EOG1\", \"scanno\": 23, \"logno\": 23}, {\"loc\": [NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 202, \"name\": \"FIFFV_EOG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COIL_NONE\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COORD_UNKNOWN\"}, \"ch_name\": \"EOG2\", \"scanno\": 24, \"logno\": 24}, {\"loc\": [NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 202, \"name\": \"FIFFV_EOG_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COIL_NONE\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COORD_UNKNOWN\"}, \"ch_name\": \"EOG3\", \"scanno\": 25, \"logno\": 25}, {\"loc\": [NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN], \"unit_mul\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFF_UNITM_NONE\"}, \"range\": 1.0, \"cal\": 1.0, \"kind\": {\"_mne_type\": \"NamedInt\", \"value\": 3, \"name\": \"FIFFV_STIM_CH\"}, \"coil_type\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COIL_NONE\"}, \"unit\": {\"_mne_type\": \"NamedInt\", \"value\": 107, \"name\": \"FIFF_UNIT_V\"}, \"coord_frame\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_COORD_UNKNOWN\"}, \"ch_name\": \"stim\", \"scanno\": 26, \"logno\": 26}], \"comps\": [], \"events\": [], \"hpi_meas\": [], \"hpi_results\": [], \"projs\": [], \"proc_history\": [], \"custom_ref_applied\": {\"_mne_type\": \"NamedInt\", \"value\": 0, \"name\": \"FIFFV_MNE_CUSTOM_REF_OFF\"}, \"sfreq\": 250.0, \"ch_names\": [\"Fz\", \"FC3\", \"FC1\", \"FCz\", \"FC2\", \"FC4\", \"C5\", \"C3\", \"C1\", \"Cz\", \"C2\", \"C4\", \"C6\", \"CP3\", \"CP1\", \"CPz\", \"CP2\", \"CP4\", \"P1\", \"Pz\", \"P2\", \"POz\", \"EOG1\", \"EOG2\", \"EOG3\", \"stim\"], \"nchan\": 26}",
|
| 7 |
+
"targets_from": "metadata",
|
| 8 |
+
"last_target_only": true
|
| 9 |
+
},
|
| 10 |
+
"zarr_format": 3,
|
| 11 |
+
"node_type": "group"
|
| 12 |
+
}
|
derivatives/braindecode/dataset.zarr/zarr.json
ADDED
|
@@ -0,0 +1,15 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attributes": {
|
| 3 |
+
"n_datasets": 1,
|
| 4 |
+
"dataset_type": "EEGWindowsDataset",
|
| 5 |
+
"braindecode_version": "1.3.0",
|
| 6 |
+
"mne_version": "1.11.0",
|
| 7 |
+
"numpy_version": "2.3.5",
|
| 8 |
+
"pandas_version": "2.3.3",
|
| 9 |
+
"zarr_version": "3.1.5",
|
| 10 |
+
"scipy_version": "1.16.3",
|
| 11 |
+
"window_kwargs": "[[\"create_windows_from_events\", {\"infer_mapping\": true, \"infer_window_size_stride\": true, \"trial_start_offset_samples\": 0, \"trial_stop_offset_samples\": 0, \"window_size_samples\": null, \"window_stride_samples\": null, \"drop_last_window\": false, \"mapping\": {\"feet\": 0, \"left_hand\": 1, \"right_hand\": 2, \"tongue\": 3}, \"preload\": false, \"drop_bad_windows\": null, \"picks\": null, \"reject\": null, \"flat\": null, \"on_missing\": \"error\", \"accepted_bads_ratio\": 0.0, \"verbose\": \"error\", \"use_mne_epochs\": false}]]"
|
| 12 |
+
},
|
| 13 |
+
"zarr_format": 3,
|
| 14 |
+
"node_type": "group"
|
| 15 |
+
}
|
derivatives/braindecode/dataset_description.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"Name": "Braindecode Dataset",
|
| 3 |
+
"BIDSVersion": "1.7.0",
|
| 4 |
+
"DatasetType": "derivative",
|
| 5 |
+
"Authors": [
|
| 6 |
+
"[Unspecified1]",
|
| 7 |
+
"[Unspecified2]"
|
| 8 |
+
],
|
| 9 |
+
"GeneratedBy": [
|
| 10 |
+
{
|
| 11 |
+
"Name": "braindecode",
|
| 12 |
+
"Version": "1.3.0",
|
| 13 |
+
"CodeURL": "https://github.com/braindecode/braindecode"
|
| 14 |
+
}
|
| 15 |
+
]
|
| 16 |
+
}
|
derivatives/braindecode/participants.tsv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
participant_id age sex hand
|
| 2 |
+
sub-1 n/a n/a n/a
|
derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_channels.tsv
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
name type units sampling_frequency low_cutoff high_cutoff status status_description
|
| 2 |
+
Fz EEG µV 250.0 n/a 125.0 good n/a
|
| 3 |
+
FC3 EEG µV 250.0 n/a 125.0 good n/a
|
| 4 |
+
FC1 EEG µV 250.0 n/a 125.0 good n/a
|
| 5 |
+
FCz EEG µV 250.0 n/a 125.0 good n/a
|
| 6 |
+
FC2 EEG µV 250.0 n/a 125.0 good n/a
|
| 7 |
+
FC4 EEG µV 250.0 n/a 125.0 good n/a
|
| 8 |
+
C5 EEG µV 250.0 n/a 125.0 good n/a
|
| 9 |
+
C3 EEG µV 250.0 n/a 125.0 good n/a
|
| 10 |
+
C1 EEG µV 250.0 n/a 125.0 good n/a
|
| 11 |
+
Cz EEG µV 250.0 n/a 125.0 good n/a
|
| 12 |
+
C2 EEG µV 250.0 n/a 125.0 good n/a
|
| 13 |
+
C4 EEG µV 250.0 n/a 125.0 good n/a
|
| 14 |
+
C6 EEG µV 250.0 n/a 125.0 good n/a
|
| 15 |
+
CP3 EEG µV 250.0 n/a 125.0 good n/a
|
| 16 |
+
CP1 EEG µV 250.0 n/a 125.0 good n/a
|
| 17 |
+
CPz EEG µV 250.0 n/a 125.0 good n/a
|
| 18 |
+
CP2 EEG µV 250.0 n/a 125.0 good n/a
|
| 19 |
+
CP4 EEG µV 250.0 n/a 125.0 good n/a
|
| 20 |
+
P1 EEG µV 250.0 n/a 125.0 good n/a
|
| 21 |
+
Pz EEG µV 250.0 n/a 125.0 good n/a
|
| 22 |
+
P2 EEG µV 250.0 n/a 125.0 good n/a
|
| 23 |
+
POz EEG µV 250.0 n/a 125.0 good n/a
|
| 24 |
+
EOG1 EOG n/a 250.0 n/a 125.0 good n/a
|
| 25 |
+
EOG2 EOG n/a 250.0 n/a 125.0 good n/a
|
| 26 |
+
EOG3 EOG n/a 250.0 n/a 125.0 good n/a
|
| 27 |
+
stim TRIG n/a 250.0 n/a 125.0 good n/a
|
derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_eeg.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"TaskName": "task",
|
| 3 |
+
"SamplingFrequency": 250.0,
|
| 4 |
+
"EEGChannelCount": 22,
|
| 5 |
+
"EOGChannelCount": 3,
|
| 6 |
+
"ECGChannelCount": 0,
|
| 7 |
+
"EMGChannelCount": 0,
|
| 8 |
+
"PowerLineFrequency": null,
|
| 9 |
+
"SoftwareFilters": {
|
| 10 |
+
"HighpassFilter": {
|
| 11 |
+
"CutoffFrequency": 0.0
|
| 12 |
+
},
|
| 13 |
+
"LowpassFilter": {
|
| 14 |
+
"CutoffFrequency": 125.0
|
| 15 |
+
}
|
| 16 |
+
}
|
| 17 |
+
}
|
derivatives/braindecode/sub-1/ses-0train/eeg/sub-1_ses-0train_task-task_run-0_desc-preproc_events.tsv
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
onset duration trial_type sample value
|
| 2 |
+
3.0 4.0 3 750 3
|
| 3 |
+
11.012 4.0 0 2753 0
|
| 4 |
+
18.684 4.0 2 4671 2
|
| 5 |
+
26.492 4.0 1 6623 1
|
| 6 |
+
34.524 4.0 1 8631 1
|
| 7 |
+
42.968 4.0 2 10742 2
|
| 8 |
+
50.636 4.0 0 12659 0
|
| 9 |
+
58.836 4.0 3 14709 3
|
| 10 |
+
66.56 4.0 2 16640 2
|
| 11 |
+
74.552 4.0 0 18638 0
|
| 12 |
+
82.176 4.0 1 20544 1
|
| 13 |
+
89.756 4.0 1 22439 1
|
| 14 |
+
97.644 4.0 1 24411 1
|
| 15 |
+
105.42 4.0 3 26355 3
|
| 16 |
+
113.288 4.0 2 28322 2
|
| 17 |
+
121.768 4.0 2 30442 2
|
| 18 |
+
129.8 4.0 1 32450 1
|
| 19 |
+
138.064 4.0 1 34516 1
|
| 20 |
+
146.208 4.0 0 36552 0
|
| 21 |
+
154.472 4.0 1 38618 1
|
| 22 |
+
162.752 4.0 2 40688 2
|
| 23 |
+
171.072 4.0 3 42768 3
|
| 24 |
+
178.72 4.0 3 44680 3
|
| 25 |
+
186.844 4.0 0 46711 0
|
| 26 |
+
194.656 4.0 1 48664 1
|
| 27 |
+
202.5 4.0 3 50625 3
|
| 28 |
+
210.916 4.0 3 52729 3
|
| 29 |
+
218.932 4.0 2 54733 2
|
| 30 |
+
226.832 4.0 3 56708 3
|
| 31 |
+
234.936 4.0 3 58734 3
|
| 32 |
+
243.22 4.0 2 60805 2
|
| 33 |
+
251.648 4.0 1 62912 1
|
| 34 |
+
260.016 4.0 2 65004 2
|
| 35 |
+
268.38 4.0 0 67095 0
|
| 36 |
+
276.552 4.0 0 69138 0
|
| 37 |
+
284.808 4.0 0 71202 0
|
| 38 |
+
292.888 4.0 3 73222 3
|
| 39 |
+
300.776 4.0 0 75194 0
|
| 40 |
+
308.628 4.0 1 77157 1
|
| 41 |
+
316.328 4.0 3 79082 3
|
| 42 |
+
324.652 4.0 2 81163 2
|
| 43 |
+
332.564 4.0 0 83141 0
|
| 44 |
+
340.524 4.0 2 85131 2
|
| 45 |
+
349.0 4.0 0 87250 0
|
| 46 |
+
356.624 4.0 3 89156 3
|
| 47 |
+
364.336 4.0 2 91084 2
|
| 48 |
+
372.792 4.0 0 93198 0
|
| 49 |
+
381.028 4.0 1 95257 1
|
format_info.json
CHANGED
|
@@ -1,5 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"format": "zarr",
|
|
|
|
|
|
|
| 3 |
"compression": "blosc",
|
| 4 |
"compression_level": 5,
|
| 5 |
"braindecode_version": "1.3.0",
|
|
|
|
| 1 |
{
|
| 2 |
"format": "zarr",
|
| 3 |
+
"bids_compatible": true,
|
| 4 |
+
"pipeline_name": "braindecode",
|
| 5 |
"compression": "blosc",
|
| 6 |
"compression_level": 5,
|
| 7 |
"braindecode_version": "1.3.0",
|