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Upload BNCI2014_001 EEGWindowsDataset (continuous)

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.gitattributes CHANGED
@@ -77,3 +77,13 @@ dataset.zarr/recording_0/data/0.6 filter=lfs diff=lfs merge=lfs -text
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  dataset.zarr/recording_0/data/0.7 filter=lfs diff=lfs merge=lfs -text
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  dataset.zarr/recording_0/data/0.8 filter=lfs diff=lfs merge=lfs -text
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+ derivatives/braindecode/dataset.zarr/recording_0/data/c/0/0 filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -4,6 +4,7 @@ tags:
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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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@@ -22,6 +23,7 @@ This dataset was created using [braindecode](https://braindecode.org), a library
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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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@@ -61,6 +63,41 @@ To load this dataset::
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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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+
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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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+ ```
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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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+
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+ ### Accessing BIDS Metadata
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+
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+ After loading the dataset, BIDS metadata is available:
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+
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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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+
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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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+
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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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+
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  ## Dataset Format
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  This dataset is stored in **Zarr** format, optimized for:
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+ "targets_from": "metadata",
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+ "last_target_only": true
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+ },
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+ "zarr_format": 3,
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+ "node_type": "group"
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+ }
derivatives/braindecode/dataset.zarr/zarr.json ADDED
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1
+ {
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+ "attributes": {
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+ "n_datasets": 1,
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+ "dataset_type": "EEGWindowsDataset",
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+ "braindecode_version": "1.3.0",
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+ "mne_version": "1.11.0",
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+ "numpy_version": "2.3.5",
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+ "pandas_version": "2.3.3",
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+ "zarr_version": "3.1.5",
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+ "scipy_version": "1.16.3",
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+ "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}]]"
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+ },
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+ "zarr_format": 3,
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+ "node_type": "group"
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+ }
derivatives/braindecode/dataset_description.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "Name": "Braindecode Dataset",
3
+ "BIDSVersion": "1.7.0",
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+ "DatasetType": "derivative",
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+ "Authors": [
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+ "[Unspecified1]",
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+ "[Unspecified2]"
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+ ],
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+ "GeneratedBy": [
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+ {
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+ "Name": "braindecode",
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+ "Version": "1.3.0",
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+ "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 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ {
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+ "TaskName": "task",
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+ "SamplingFrequency": 250.0,
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+ "EEGChannelCount": 22,
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+ "EOGChannelCount": 3,
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+ "ECGChannelCount": 0,
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+ "EMGChannelCount": 0,
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+ "PowerLineFrequency": null,
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+ "SoftwareFilters": {
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+ "HighpassFilter": {
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+ "CutoffFrequency": 0.0
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+ },
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+ "LowpassFilter": {
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+ "CutoffFrequency": 125.0
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+ }
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+ }
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+ }
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
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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,
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+ "pipeline_name": "braindecode",
5
  "compression": "blosc",
6
  "compression_level": 5,
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  "braindecode_version": "1.3.0",