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Upload BNCI2014_001 RawDataset

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  1. README.md +2 -8
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@@ -21,7 +21,8 @@ learning library for EEG/MEG/ECoG signals.
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  | Type | Continuous (Raw) |
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  | Channels | 26 |
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  | Sampling frequency | 250 Hz |
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- | Windows/samples | 96735 |
 
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  | Size | 19.22 MB |
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  | Format | zarr |
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@@ -96,13 +97,6 @@ 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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- ## Why Zarr?
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-
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- Zarr format provides:
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- - **Fast random access** - Critical for efficient DataLoader sampling
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- - **Compression** - Reduced storage with minimal read overhead
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- - **Cloud-native** - Works with remote storage (S3, GCS, etc.)
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-
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  ---
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  *Created with [braindecode](https://braindecode.org)*
 
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  | Type | Continuous (Raw) |
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  | Channels | 26 |
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  | Sampling frequency | 250 Hz |
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+ | Total duration | 0:06:26 |
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+ | Windows/samples | 96,735 |
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  | Size | 19.22 MB |
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  | Format | zarr |
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  print(dataset.datasets[0].bids_channels)
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  ```
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  ---
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  *Created with [braindecode](https://braindecode.org)*