Amber — an open EEG corpus
6,046 hours of EEG from 7,275 recordings, 1,864 subjects and 164 public datasets, all converted to a single self-describing container format so they can be read with one line of code regardless of where they came from.
| Recording hours | 6,046.4 |
| EEG channel-hours | 37,487 |
| Recordings | 7,275 |
| Files | 7,523 |
| Subjects | 1,864 |
| Source datasets | 164 |
| Annotated events | 3,612,642 |
| Size | 60.5 GB |
| Bit-exact files | 3,620 / 7,523 (48%) |
What the subjects were doing
The corpus is assembled to favour EEG of people doing something — reading, listening, remembering, deciding, controlling an interface — over recordings of people lying still. Labels are derived from dataset titles and task entities by tools/content_tiers.py, so they are a guide rather than a curated ground truth.
| Content | Hours | Recordings | Datasets |
|---|---|---|---|
| active task | 295.3 | 3,434 | 61 |
| clinical | 164.8 | 83 | 5 |
| resting / unlabelled | 336.8 | 3,382 | 92 |
| sleep | 5,249.5 | 376 | 6 |
Quick start
The reader needs only numpy and zstandard; the heavier converters (pyedflib, mne) are imported lazily and are not required to read:
pip install numpy zstandard huggingface_hub
from huggingface_hub import snapshot_download
import eegx # reader shipped in this repo under eegx/
p = snapshot_download('amongglue/amber', repo_type='dataset',
allow_patterns='data/physionet/eegmat/*')
r = eegx.open(f'{p}/data/physionet/eegmat/Subject00_1.eegx')
x = r.read() # (n_channels, n_samples) float32, physical units
x = r.read(picks=['eeg']) # EEG channels only
print(r.sfreq, r.duration, r.channel_names, r.events)
Every file is one (n_channels, n_samples) channel-major array. That is the format's single rigidity guarantee: whatever the montage, the task or the original vendor format, this shape always holds, so an unknown recording can still be enumerated and converted without special-casing. See SPEC.md for the container layout.
Layout
data/<archive>/<dataset>/*.eegx signals, one file per recording
data/<archive>/<dataset>/README.md source, licence, hours, channels
catalog.jsonl one row per file: id, hours, channels, rates
SPEC.md the container format
eegx/ reference reader (pure Python + numpy)
catalog.jsonl is the index to work from — it lets you filter by sample rate, channel count or duration without opening any signal file.
Contribution by source
Other — 6,046.4 h across 164 datasets
| Dataset | Source | Hours | Rec | Subj | Rate (Hz) | Ch | Licence |
|---|---|---|---|---|---|---|---|
sleep-edfx |
3,849.0 | 197 | 100 | 1-100 | 1-4 | ODC-BY | |
hmc-sleep-staging |
1,144.2 | 151 | 151 | 256 | 8 | ODC-BY | |
ucddb |
173.4 | 25 | 25 | 8-128 | 3-8 | ODC-BY | |
siena-scalp-eeg |
141.0 | 41 | 14 | 512 | 35-49 | ODC-BY | |
ds006366 |
72.0 | 1 | 1 | 128 | 2 | ODC-BY | |
eegmmidb |
48.5 | 1,526 | 109 | 128-160 | 64 | ODC-BY | |
ds003190 |
39.8 | 384 | 19 | 256 | 9-10 | ODC-BY | |
ds004369 |
34.7 | 38 | 38 | 500 | 7 | ODC-BY | |
ds007720 |
31.7 | 371 | 5 | 300 | 7-20 | ODC-BY | |
ds007554 |
29.9 | 498 | 30 | 250-250.003 | 33 | ODC-BY | |
ds005342 |
28.8 | 28 | 28 | 250 | 17 | ODC-BY | |
moabb_BNCI2014_004 |
26.3 | 45 | 9 | 250 | 7 | ODC-BY | |
chbmit |
21.7 | 22 | 1 | 256 | 23 | ODC-BY | |
ds007058 |
16.9 | 178 | 10 | 200 | 63 | ODC-BY | |
moabb_Kaya2018 |
15.7 | 17 | 7 | 200 | 19 | ODC-BY | |
moabb_BNCI2015_004 |
13.8 | 18 | 9 | 256 | 31 | ODC-BY | |
moabb_BNCI2015_012 |
13.6 | 20 | 10 | 250 | 65 | ODC-BY | |
ds005628 |
13.3 | 140 | 102 | 250 | 8 | ODC-BY | |
ds005340 |
11.7 | 5 | 5 | 10000 | 2 | ODC-BY | |
moabb_BNCI2014_001 |
11.6 | 108 | 9 | 250 | 26 | ODC-BY | |
ds004324 |
11.5 | 16 | 16 | 500 | 38 | ODC-BY | |
ds006260 |
10.9 | 179 | 72 | 256 | 32 | ODC-BY | |
ds004860 |
10.6 | 20 | 20 | 512-2048 | 41 | ODC-BY | |
ds007541 |
10.3 | 960 | 32 | 1000 | 8 | ODC-BY | |
shhpsgdb |
9.0 | 1 | 1 | 250 | 11 | ODC-BY | |
moabb_BNCI2025_002 |
8.4 | 27 | 3 | 200 | 64 | ODC-BY | |
ds004661 |
8.2 | 14 | 14 | 128 | 64 | ODC-BY | |
osf_v9xsw |
7.7 | 5 | 5 | 500 | 63 | ODC-BY | |
ds007864 |
7.0 | 32 | 32 | 200 | 19-21 | ODC-BY | |
ds004577 |
6.9 | 31 | 31 | 200 | 19-24 | ODC-BY | |
ds007558 |
6.9 | 35 | 35 | 200 | 19-21 | ODC-BY | |
ds007666 |
6.9 | 34 | 34 | 200 | 19 | ODC-BY | |
ds007667 |
6.9 | 34 | 34 | 200 | 19 | ODC-BY | |
ds007865 |
6.8 | 33 | 23 | 200 | 19-21 | ODC-BY | |
ds005262 |
6.6 | 49 | 12 | 250 | 8 | ODC-BY | |
ds004840 |
6.4 | 32 | 9 | 256-1024 | 9-10 | ODC-BY | |
ds006839 |
6.3 | 29 | 29 | 1000 | 29 | ODC-BY | |
ds006394 |
6.2 | 21 | 21 | 125 | 16 | ODC-BY | |
moabb_BNCI2015_013 |
6.1 | 120 | 6 | 512 | 65 | ODC-BY | |
ltrsvp |
5.9 | 62 | 11 | 2048 | 9 | ODC-BY | |
ds004752 |
5.3 | 48 | 14 | 200-4096 | 8-23 | ODC-BY | |
ds003194 |
5.1 | 21 | 15 | 200 | 19-20 | ODC-BY | |
moabb_Nguyen2017_V |
4.8 | 8 | 8 | 256 | 65 | ODC-BY | |
ds002691 |
4.5 | 13 | 13 | 250 | 32 | ODC-BY | |
ds005383 |
4.2 | 122 | 30 | 200 | 31 | ODC-BY | |
moabb_Dreyer2023C |
4.2 | 36 | 6 | 512 | 32 | ODC-BY | |
moabb_BNCI2003_004 |
4.0 | 5 | 5 | 100 | 118 | ODC-BY | |
moabb_BNCI2019_001 |
3.8 | 45 | 5 | 256 | 64 | ODC-BY | |
hbn_contrast-change-detection |
3.7 | 34 | 13 | 250-500 | 129 | ODC-BY | |
moabb_Mainsah2025_K |
3.6 | 128 | 5 | 256 | 17 | ODC-BY | |
moabb_Nguyen2017_S |
3.6 | 6 | 6 | 256 | 65 | ODC-BY | |
figshare_32676945 |
3.5 | 2 | 2 | 1000 | 33 | ODC-BY | |
ds004771 |
3.5 | 20 | 20 | 256 | 34 | ODC-BY | |
ds002720 |
3.2 | 30 | 18 | 1000 | 19 | ODC-BY | |
ds005420 |
3.2 | 43 | 37 | 500 | 20 | ODC-BY | |
moabb_BNCI2014_008 |
3.0 | 8 | 8 | 256 | 10 | ODC-BY | |
moabb_EPFLP300 |
3.0 | 192 | 8 | 2048 | 35 | ODC-BY | |
ds003195 |
2.7 | 11 | 10 | 200 | 19 | ODC-BY | |
osf_x8wfv |
2.7 | 3 | 3 | 512 | 70 | ODC-BY | |
ds006593 |
2.6 | 10 | 10 | 300 | 19 | ODC-BY | |
eegmat |
2.4 | 72 | 36 | 500 | 21 | ODC-BY | |
moabb_Nguyen2017_L |
2.4 | 6 | 6 | 256 | 65 | ODC-BY | |
ds007169 |
2.3 | 8 | 8 | 250 | 24 | ODC-BY | |
erpbci |
2.3 | 245 | 12 | 2048 | 70 | ODC-BY | |
moabb_Nguyen2017_SL |
2.2 | 6 | 6 | 256 | 65 | ODC-BY | |
moabb_Wang2021Combined |
2.1 | 8 | 2 | 1000 | 33 | ODC-BY | |
moabb_Nakanishi2015 |
2.1 | 9 | 9 | 256 | 9 | ODC-BY | |
hbn_surround-suppression |
2.0 | 20 | 11 | 250-500 | 129 | ODC-BY | |
ds004368 |
1.9 | 9 | 9 | 128 | 63 | ODC-BY | |
ds006018 |
1.9 | 8 | 8 | 500 | 31 | ODC-BY | |
ds007823 |
1.9 | 8 | 8 | 200 | 22 | ODC-BY | |
ds008082 |
1.9 | 8 | 8 | 200 | 22 | ODC-BY | |
ds003574 |
1.9 | 1 | 1 | 500 | 69 | ODC-BY | |
ds005863 |
1.8 | 9 | 8 | 500 | 31 | ODC-BY | |
ds005274 |
1.7 | 22 | 22 | 500 | 6 | ODC-BY | |
ds007262 |
1.7 | 7 | 7 | 250 | 24 | ODC-BY | |
ds004588 |
1.7 | 13 | 13 | 300 | 24 | ODC-BY | |
figshare_24631257 |
1.7 | 1 | 1 | 1024 | 145 | ODC-BY | |
moabb_GrosseWentrup2009 |
1.7 | 2 | 2 | 500 | 129 | ODC-BY | |
zenodo_13626922 |
1.6 | 16 | 16 | 128 | 13 | ODC-BY | |
moabb_BNCI2014_009 |
1.6 | 30 | 10 | 256 | 18 | ODC-BY | |
ds007822 |
1.6 | 32 | 32 | 300 | 19 | ODC-BY | |
figshare_29972935 |
1.6 | 8 | 8 | 500 | 35 | ODC-BY | |
ds007788 |
1.3 | 29 | 7 | 100 | 64 | ODC-BY | |
ds004022 |
1.1 | 5 | 5 | 500 | 18 | ODC-BY | |
moabb_AlexMI |
1.1 | 8 | 8 | 512 | 17 | ODC-BY | |
ds003800 |
1.0 | 20 | 13 | 250 | 19 | ODC-BY | |
ds008062 |
1.0 | 30 | 30 | 128 | 14 | ODC-BY | |
moabb_Beetl2021_A |
1.0 | 6 | 3 | 500 | 63 | ODC-BY | |
ds004015 |
1.0 | 1 | 1 | 500 | 18 | ODC-BY | |
ds003810 |
1.0 | 8 | 8 | 125 | 15 | ODC-BY | |
ds002218 |
0.9 | 1 | 1 | 256 | 32 | ODC-BY | |
ds006465 |
0.9 | 3 | 3 | 1000 | 127 | ODC-BY | |
moabb_BNCI2015_003 |
0.9 | 20 | 10 | 256 | 10 | ODC-BY | |
ds008083 |
0.9 | 1 | 1 | 1000 | 31 | ODC-BY | |
moabb_Mainsah2025_E |
0.9 | 33 | 3 | 256 | 17 | ODC-BY | |
ds007006 |
0.9 | 7 | 7 | 256 | 64 | ODC-BY | |
hbn_sequence-learning |
0.9 | 9 | 9 | 250-500 | 129 | ODC-BY | |
ds006036 |
0.8 | 8 | 8 | 500 | 19 | ODC-BY | |
moabb_Mainsah2025_N |
0.8 | 20 | 1 | 256 | 17 | ODC-BY | |
ds007629 |
0.8 | 4 | 1 | 256 | 64 | ODC-BY | |
ds001787 |
0.8 | 1 | 1 | 256 | 80 | ODC-BY | |
ds002721 |
0.8 | 9 | 9 | 1000 | 19 | ODC-BY | |
moabb_Beetl2021_B |
0.7 | 4 | 2 | 200 | 32 | ODC-BY | |
ds003801 |
0.7 | 1 | 1 | 250 | 24 | ODC-BY | |
figshare_30227503 |
0.7 | 1 | 1 | 1000 | 33 | ODC-BY | |
figshare_31939692 |
0.6 | 1 | 1 | 1000 | 64 | ODC-BY | |
ds002778 |
0.6 | 11 | 11 | 512 | 41 | ODC-BY | |
ds004018 |
0.6 | 1 | 1 | 1000 | 63 | ODC-BY | |
ds004541 |
0.6 | 1 | 1 | 1000 | 69 | ODC-BY | |
figshare_25117430 |
0.6 | 1 | 1 | 500 | 35 | ODC-BY | |
hbn_film-watching |
0.6 | 12 | 4 | 250-500 | 129 | ODC-BY | |
ds004849 |
0.5 | 1 | 1 | 128 | 64 | ODC-BY | |
ds004850 |
0.5 | 1 | 1 | 128 | 64 | ODC-BY | |
ds004852 |
0.5 | 1 | 1 | 128 | 64 | ODC-BY | |
ds004853 |
0.5 | 1 | 1 | 128 | 64 | ODC-BY | |
ds004854 |
0.5 | 1 | 1 | 128 | 64 | ODC-BY | |
ds007406 |
0.5 | 10 | 10 | 256 | 14 | ODC-BY | |
ds004785 |
0.5 | 9 | 9 | 500 | 32 | ODC-BY | |
ds007955 |
0.5 | 9 | 9 | 250 | 8 | ODC-BY | |
hbn_processing-speed |
0.4 | 8 | 8 | 250-500 | 129 | ODC-BY | |
ds007813 |
0.4 | 1 | 1 | 500 | 63 | ODC-BY | |
ds004196 |
0.4 | 1 | 1 | 512 | 73 | ODC-BY | |
ds004515 |
0.3 | 1 | 1 | 500 | 66 | ODC-BY | |
ds007591 |
0.3 | 1 | 1 | 256 | 139 | ODC-BY | |
ds003753 |
0.3 | 1 | 1 | 500 | 66 | ODC-BY | |
ds004595 |
0.3 | 1 | 1 | 500 | 66 | ODC-BY | |
ds004745 |
0.3 | 1 | 1 | 1000 | 8 | ODC-BY | |
ds004347 |
0.3 | 1 | 1 | 512 | 73 | ODC-BY | |
figshare_28389305 |
0.3 | 1 | 1 | 1000 | 56 | ODC-BY | |
ds007688 |
0.3 | 2 | 2 | 250 | 73 | ODC-BY | |
ds008446 |
0.2 | 1 | 1 | 512 | 65 | ODC-BY | |
ds003039 |
0.2 | 1 | 1 | 500 | 67 | ODC-BY | |
ds003517 |
0.2 | 1 | 1 | 500 | 65 | ODC-BY | |
figshare_30740115 |
0.2 | 1 | 1 | 250 | 16 | ODC-BY | |
figshare_31315511 |
0.2 | 1 | 1 | 250 | 16 | ODC-BY | |
ds006525 |
0.2 | 1 | 1 | 250 | 128 | ODC-BY | |
ds003490 |
0.2 | 1 | 1 | 500 | 67 | ODC-BY | |
ds003751 |
0.2 | 1 | 1 | 250 | 132 | ODC-BY | |
ds007172 |
0.1 | 1 | 1 | 500 | 32 | ODC-BY | |
ds005841 |
0.1 | 1 | 1 | 512 | 73 | ODC-BY | |
ds006126 |
0.1 | 1 | 1 | 5000 | 3 | ODC-BY | |
ds005284 |
0.1 | 1 | 1 | 1024 | 65 | ODC-BY | |
ds005305 |
0.1 | 1 | 1 | 512 | 64 | ODC-BY | |
ds005872 |
0.1 | 1 | 1 | 500 | 129 | ODC-BY | |
ds007338 |
0.1 | 1 | 1 | 500 | 129 | ODC-BY | |
ds006768 |
0.1 | 1 | 1 | 1000 | 65 | ODC-BY | |
ds003775 |
0.1 | 1 | 1 | 1024 | 64 | ODC-BY | |
ds004381 |
0.1 | 2 | 2 | 20000 | 4 | ODC-BY | |
hbn_other |
0.1 | 1 | 1 | 500 | 129 | ODC-BY | |
ds007222 |
0.1 | 1 | 1 | 500 | 266 | ODC-BY | |
figshare_30162868 |
0.1 | 1 | 1 | 512 | 1 | ODC-BY | |
hbn |
0.1 | 1 | 1 | 500 | 129 | ODC-BY | |
ds003805 |
0.0 | 1 | 1 | 500 | 19 | ODC-BY | |
figshare_29664056 |
0.0 | 1 | 1 | 1000 | 62 | ODC-BY | |
ds005028 |
0.0 | 40 | 11 | 40272-106312 | 32 | ODC-BY | |
figshare_29528219 |
0.0 | 1 | 1 | 200 | 32 | ODC-BY | |
figshare_30003127 |
0.0 | 1 | 1 | 200 | 32 | ODC-BY | |
figshare_31081684 |
0.0 | 1 | 1 | 512 | 64 | ODC-BY | |
ds002893 |
0.0 | 1 | 1 | 250.029 | 47 | ODC-BY | |
ds003380 |
0.0 | 0 | 1 | 2000 | 16 | ODC-BY | |
ds004117 |
0.0 | 1 | 1 | 250 | 47 | ODC-BY | |
ds005048 |
0.0 | 16 | 16 | 250 | 43 | ODC-BY | |
figshare_29170289 |
0.0 | 1 | 1 | 128 | 32 | ODC-BY |
How hours are counted
Recording hours is wall-clock time, counted once per source recording. Recordings that mix sample rates are split into one file per rate group, so a single night of sleep may be several files; only files carrying at least one EEG channel count, and parts of the same recording are never added together. Channel-hours multiplies duration by EEG channel count, which is the number that matters for training-data volume.
Fidelity
EDF/BDF sources are read at the digital level and stored as the same integers with the original per-channel affine map, so the conversion is bit-exact and reversible — verifiable with tools/verify_lossless.py in the source repository, which re-downloads the original and compares samples. Sources that only expose floating-point data (EEGLAB .set, some BrainVision) are requantised to int16 against a per-channel full-scale range; those files are marked lossless: false in their header and in catalog.jsonl.
Provenance and licences
Every file records where it came from — source URL, SHA-256 of the original, licence, and conversion time:
eegx.read_header(path)['provenance']
All included datasets are CC0 or ODC-BY 1.0, both of which permit redistribution. ODC-BY requires attribution: the per-dataset README.md names the original source, and those citations should travel with any derived work. This repository is a format conversion, not new data — please cite the original authors, not just this corpus.
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