Datasetpublic

braindecode/faced

EEG Dataset This dataset was created using braindecode, a deep learning library for EEG/MEG/ECoG signals. Dataset Information Property Value Recordings 123 Type Windowed (from Epochs object) Channels 26 Sampling frequency 200 Hz Total duration 2 days, 5:21:13 Windows/samples 19,217 Size 3.16 MB Format zarr Quick Start from braindecode.datasets import BaseConcatDataset # Load from Hugging Face Hub dataset =… See the full description on the dataset page: https://huggingface.co/datasets/braindecode/faced.

sourceHugging Faceunknownupdated 4mo agoView on Hugging Face

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rootformat_info.json

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1{2  "format": "zarr",3  "pipeline_name": "braindecode",4  "compression": "gzip",5  "compression_level": 5,6  "chunk_size": 5000000,7  "braindecode_version": "1.3.2",8  "n_recordings": 123,9  "total_samples": 19217,10  "total_size_mb": 3.1611}