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Datasets:
amongglue
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amber

Tasks:
Time Series Forecasting
Feature Extraction
Size:
10B<n<100B
Tags:
eeg
neuroscience
biosignals
time-series
brain-computer-interface
sleep
License:
Dataset card Files
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move figshare_29972935 into data/figshare/

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  1. data/figshare/figshare_29972935/OA01_active.eegx +3 -0
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  22. data/figshare/figshare_29972935/YA01_active.eegx +3 -0
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+ # figshare_29972935 — Figshare 29972935
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+
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+ Part of the **Amber** EEG corpus. Converted to the EEGX container format; see `SPEC.md` at the repository root.
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+
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+ ## Source
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+
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+ | | |
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+ |---|---|
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+ | Archive | Other sources |
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+ | Original dataset | Figshare 29972935 |
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+ | Homepage | https://figshare.com/articles/dataset/EEG_for_postural_imbalance/29972935 |
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+ | License | CC BY 4.0 |
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+ | Source format | eeglab-set, set |
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+
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+ ## Contents
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+
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+ | | |
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+ |---|---|
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+ | Recordings | 8 |
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+ | Files | 8 |
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+ | Subjects | 8 |
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+ | Recording hours | 1.60 |
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+ | EEG channel-hours | 55.2 |
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+ | Sample rate (Hz) | 500 |
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+ | Channels per file | 35 |
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+ | Annotated events | 275 |
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+ | Stored size | 0.103 GB |
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+ | Fidelity | requantised (see below) |
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+
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+ Channel types present: eeg ×277, misc ×3.
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+
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+ ## Reading
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+
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+ ```python
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+ import eegx
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+ r = eegx.open('data/other/figshare_29972935/<file>.eegx')
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+ x = r.read() # (n_channels, n_samples) float32, physical units
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+ x = r.read(picks=['eeg']) # EEG channels only
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+ print(r.sfreq, r.channel_names, r.events)
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+ ```
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+
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+ ## Provenance
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+
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+ Every `.eegx` file carries a `provenance` block in its header with the exact source URL, the SHA-256 of the original file, the license, and the conversion timestamp. Nothing here is detached from where it came from:
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+
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+ ```python
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+ eegx.read_header(path)['provenance']
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+ ```
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