Add moabb_BNCI2014_008: 8 recordings, 3.0 h
Browse files- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-1_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-2_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-3_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-4_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-5_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-6_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-7_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-8_ses-0_run-0.eegx +3 -0
- data/moabb/moabb_BNCI2014_008/README.md +49 -0
data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-1_ses-0_run-0.eegx
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data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-6_ses-0_run-0.eegx
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data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-7_ses-0_run-0.eegx
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data/moabb/moabb_BNCI2014_008/BNCI2014_008_sub-8_ses-0_run-0.eegx
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data/moabb/moabb_BNCI2014_008/README.md
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# moabb_BNCI2014_008 — MOABB BNCI2014_008
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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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## Source
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| | |
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|---|---|
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| Archive | MOABB |
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| Original dataset | MOABB BNCI2014_008 |
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| Homepage | https://neurotechx.github.io/moabb/generated/moabb.datasets.BNCI2014_008.html |
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| License | see original publication |
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| Source format | moabb |
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| Tasks | p300 |
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## Contents
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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 | 3.02 |
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| EEG channel-hours | 24.1 |
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| Sample rate (Hz) | 256 |
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| Channels per file | 10 |
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| Annotated events | 33,600 |
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| Stored size | 0.039 GB |
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| Fidelity | requantised (see below) |
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Channel types present: eeg ×64, stim ×16.
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## Reading
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```python
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import eegx
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r = eegx.open('data/moabb/moabb_BNCI2014_008/<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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## Provenance
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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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```python
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eegx.read_header(path)['provenance']
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```
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