EEGDash Corpus v1

Version 1 extends version 0 to every publicly usable dataset named by REVE’s paper: 78 datasets, of which 11 are ingested by EEGDash and wait for conversion and 1 is still to be ingested. The numbers of the added datasets come from EEGDash’s records until they are converted; the views below are those of v0, with the added datasets stacked by status.

What v1 adds

Dataset	Name	Paradigm	Subjects	Sessions	Hours	Channels	Licence	Note
nm000181	NMT: Neurodiagnostic Montage Template Scalp EEG NMT	clinical routine EEG	2,417	2,417	489.0	21.0	CC-BY-SA-4.0	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host Zenodo (10.5281/zenodo.10909103), paper 10.3389/fnins.2021.755817; licence CC BY-SA 4.0 from NEMAR's dataset_description
nm000250	Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research Dreyer2023	BCI (MI & P300)	96	1,560	126.9	27.0	CC-BY-4.0	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; the paper's Inria Large BCI database; original host Zenodo (10.5281/zenodo.8089820), paper 10.1038/s41597-023-02445-z; hours from 1,040 of 1,560 records; 520 records carry no duration in EEGDash
nm000323	Lee2019ERP Lee2019ERP	BCI (MI & P300)	54	432	116.2	66.0	GPL-3.0	numbers from EEGDash's records until converted; P300; MOABB set on NEMAR
nm000232	THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition THINGS-EEG2	perception & emotion	10	638	87.3	63.0	CC-BY-4.0	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host OSF (10.17605/OSF.IO/3JK45), paper 10.1016/j.neuroimage.2022.119754; hours from 319 of 638 records; 319 records carry no duration in EEGDash
nm000172	Schirrmeister2017 Schirrmeister2017	BCI (MI & P300)	14	56	57.4	128.0	CC-BY-4.0	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000273	Lee2019SSVEP Lee2019SSVEP	SSVEP	54	108	40.6	62.0	CC-BY-4.0	numbers from EEGDash's records until converted; SSVEP; MOABB set on NEMAR
nm000267	Shin2017A Shin2017A	BCI (MI & P300)	29	174	29.0	32.0	GPL-3.0	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000266	Sosulski2019 Sosulski2019	BCI (MI & P300)	13	2,120	19.6	37.0	CC-BY-SA-4.0	numbers from EEGDash's records until converted; P300; MOABB set on NEMAR
nm000123	Kalunga2016 Kalunga2016	SSVEP	12	30	2.6	8.0	CC-BY-4.0	numbers from EEGDash's records until converted; SSVEP; MOABB set on NEMAR
nm000138	AlexMI AlexMI	BCI (MI & P300)	8	8	1.1	16.0	CC-BY-SA-4.0	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000238	SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants SparrKULee	auditory & language	81	1,599			CC-BY-NC-4.0	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host KU Leuven RDR; licence CC BY-NC 4.0 from NEMAR's dataset_description (EEGDash's record lists none): a v1 store that includes it carries non-commercial terms; EEGDash records carry no signal metadata; 81 subjects, 1,599 records (eeg + beh); measure at conversion
siena-scalp-eeg	Siena Scalp EEG Database v1.0.0	seizure					CC-BY-4.0	held, not converted: counts and hours not measured yet; a local copy is held (58 files, 17 GB, checksums verified); 14 subjects, about 130 h, 29 channels; PhysioNet's public S3 mirror is the fast way to fetch it

The 12 datasets v1 adds: 11 ingested by EEGDash and not yet converted, 1 still to be ingested; numbers from EEGDash's records until converted.

SparrKULee carries CC BY-NC 4.0 in NEMAR’s dataset description (EEGDash’s record lists none), so a v1 Zarr store that includes it carries non-commercial terms; its EEGDash records carry no signal metadata, so its hours are measured at conversion. Siena Scalp EEG is held and waits for its deposit on NEMAR; its numbers follow.

In numbers

78datasets

66converted (v0)

11to convert

1to ingest

46,519hours (measured so far)

7,879subjects

v1 holds 78 datasets: v0's 66, 11 to convert and 1 to ingest; the numbers of those come from EEGDash's records until converted (SparrKULee, Siena Scalp EEG Database v1.0.0 unmeasured).

Electrode coverage

One mark per electrode position (398 positions in 978 channel sets): v0’s positions measured in the Zarr store, plus the channel sets of 10 of the datasets v1 adds, read from EEGDash’s records with the hours those records state; hover a mark for the v0 and added shares. Not on the map yet: SparrKULee, Siena Scalp EEG Database (no channel metadata in EEGDash’s records, or not yet ingested).

Top view

HoursDatasets

Channel set (bucket): one exact set of channel names of one dataset in the Zarr store.

398 electrode positions, 12 of them only in the datasets v1 adds; Cz carries the most data (43,626 h over 64 datasets); 12 positions appear in a single dataset.

3-D view

HoursDatasets

Drag, or focus the view and use the arrow keys, to rotate. Channel set (bucket): one exact set of channel names of one dataset in the Zarr store.

398 electrode positions, 12 of them only in the datasets v1 adds; Cz carries the most data (43,626 h over 64 datasets); 12 positions appear in a single dataset.

Hours per dataset

v0, convertedv1, to convertto ingest

Order byHoursChannelsName

The largest dataset (I-CARE) holds 70 % of the 46,519 h shown; the median dataset has 27.1 h.

Channel count per dataset

Both bar lists follow the same order; switch it on either.

v0, convertedv1, to convertto ingest

Order byHoursChannelsName

Median 62 channels; 27 % of the 66 converted datasets have more than 64 channels and 17 have 32 or fewer.

Distributions

Channel-count bands

v0, convertedv1, to convertto ingest

72 % of the 46,519 h are in datasets of 17–32 channels (17 datasets), by each dataset's mean channel count.

Subjects

v0, convertedv1, to convertto ingest

Most datasets (30 of 77) have 31–100 subjects; the 6 with more than 300 subjects hold 93 % of the hours.

Native sampling rates

v0, convertedv1, to convertto ingest

The converter resampled 65 of the 66 converted datasets to 200 Hz from 9 native rates, from 250 to 10,000 Hz; 1 was recorded at 200 Hz.

Paradigms

v0, convertedv1, to convertto ingest

Intensive care holds 70 % of the hours with 1 dataset; perception & emotion has the most datasets (20).

Subjects against hours

v0, convertedv1, to convertto ingest

Median 0.8 h per subject over 76 datasets; I-CARE records the most, 53.9 h per subject.

The 78 datasets

All statuses (78)Ingested and Converted (v0) (66)Ingested, but not Converted (v1) (11)To Be Ingested (v1) (1)78 datasetsDownload CSV

Dataset	Name	Status	Source	Archive	Paradigm	Subjects	Sessions	Hours	Channels	Rate (Hz)	Size (GB)	Licence	Redistributable	Listed in	Note
nm000289	I-CARE: International Cardiac Arrest REsearch consortium EEG Database (BIDS) I-CARE	v0, converted	PhysioNet	NEMAR	intensive care	607	36,073	32,712.2	19.7	256	1,690.0	CC-BY-NC-SA-4.0	yes (non-commercial, same licence)	paper · card · v0 · v1	converted from PhysioNet's WFDB release (doi:10.13026/m33r-bj81) to BIDS and deposited on NEMAR 2026-10-05
ds004395	Penn Electrophysiology of Encoding and Retrieval Study (PEERS) PEERS	v0, converted	OpenNeuro	OpenNeuro	memory & cognition	364	6,480	9,110.8	125.7	500	9,583.3	CC0-1.0	yes	paper · card · v0 · v1
ds004706	Spatial memory and non-invasive closed-loop stimulus timing Spatial memory	v0, converted	OpenNeuro	OpenNeuro	memory & cognition	34	297	470.6	128.0	2,048	1,426.1	CC0-1.0	yes	paper · card · v0 · v1
ds005511	Healthy Brain Network (HBN) EEG - Release 7 HBN R7	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	381	3,098	279.7	128.6	500	262.9	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	the card's entry points at a 100 Hz copy (EEG2025r7); the 500 Hz OpenNeuro accession is used
ds005508	Healthy Brain Network (HBN) EEG - Release 4 HBN R4	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	324	3,342	261.8	129.0	500	246.8	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005509	Healthy Brain Network (HBN) EEG - Release 5 HBN R5	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	330	3,324	255.3	129.0	500	240.7	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005514	Healthy Brain Network (HBN) EEG - Release 9 HBN R9	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	295	2,881	210.8	129.0	500	198.7	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
nm000338	Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for Lee2019-MI	v0, converted	MOABB	NEMAR	BCI (MI & P300)	54	432	183.1	62.0	1,000	65.3	GPL-3.0	yes (GPL, same licence)	paper · card · v0 · v1
ds005512	Healthy Brain Network (HBN) EEG - Release 8 HBN R8	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	257	2,318	179.1	129.0	500	168.8	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005507	Healthy Brain Network (HBN) EEG - Release 3 HBN R3	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	184	1,812	158.8	129.0	500	149.6	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005506	Healthy Brain Network (HBN) EEG - Release 2 HBN R2	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	150	1,404	127.5	129.0	500	120.1	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005505	Healthy Brain Network (HBN) EEG - Release 1 HBN R1	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	136	1,342	117.5	129.0	500	110.7	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds005510	Healthy Brain Network (HBN) EEG - Release 6 HBN R6	v0, converted	OpenNeuro	OpenNeuro	development (HBN)	135	1,227	103.5	129.0	500	97.5	CC-BY-SA-4.0	yes (same licence)	paper · card · v0 · v1	HBN release (also as NEMAR EEG2025 id)
ds004148	A test-retest resting and cognitive state EEG dataset Test-retest rest	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	60	900	75.0	61.0	500	32.9	CC0-1.0	yes	paper · card · v0 · v1
ds005697	PerceiveImagine Perceive/imagine	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	45	45	69.5	62.0	1,000	71.5	CC0-1.0	yes	paper · card · v0 · v1
ds003969	Meditation vs thinking task Meditation vs think	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	98	392	66.5	64.0	1,024	58.5	CC0-1.0	yes	paper · card · v0 · v1
ds005089	Proactive selective attention across competition contexts Selective attention	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	33	33	62.8	63.0	1,000	73.0	CC0-1.0	yes	paper · card · v0 · v1
ds004279	Large Spanish EEG Spanish sentences	v0, converted	OpenNeuro	OpenNeuro	auditory & language	56	60	53.7	62.0	1,000	27.1	CC0-1.0	yes	paper · card · v0 · v1
ds004572	The effects of sham hypnosis techniques Hypnosis	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	52	516	53.2	58.0	1,000	46.8	CC0-1.0	yes	paper · card · v0 · v1
ds005273	Neural representation of consciously seen and unseen information Seen vs unseen	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	32	32	52.5	61.0	1,000	47.7	CC0-1.0	yes	paper · card · v0 · v1
ds003004	Imagined Emotion Study Imagined emotion	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	34	34	48.5	144.3	256	38.7	CC0-1.0	yes	paper · card · v0 · v1
ds003690	EEG, ECG and pupil data from young and older adults: rest and auditory Rest & auditory	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	75	375	47.7	59.0	500	23.0	CC0-1.0	yes	paper · card · v0 · v1
ds003825	Human electroencephalography recordings from 50 subjects for 22,248 im THINGS-EEG1	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	50	50	46.3	65.7	1,000	44.3	CC0-1.0	yes	paper · card · v0 · v1
ds004356	Subcortical responses to music and speech are alike while cortical res Music vs speech	v0, converted	OpenNeuro	OpenNeuro	auditory & language	22	24	46.3	32.0	10,000	228.8	CC0-1.0	yes	paper · card · v0 · v1
ds005121	Siefert2024 Task not stated	v0, converted	OpenNeuro	OpenNeuro	memory & cognition	34	39	40.5	58.0	512	9.7	CC0-1.0	yes	paper · card · v0 · v1	task not stated in the catalogue
ds004582	FakeFaceEmo_data Fake faces	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	73	73	34.2	59.0	10,000	315.9	CC0-1.0	yes	paper · card · v0 · v1
ds005586	Electroencephalographic responses to the number of objects in partiall Numerosity	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	23	23	33.5	60.0	1,000	30.4	CC0-1.0	yes	paper · card · v0 · v1
ds004603	Visual Attribute-Specific Contextual Trajectory Paradigm Context trajectory	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	37	37	30.7	64.0	1,024	29.4	CC0-1.0	yes	paper · card · v0 · v1
ds001787	EEG meditation study Meditation	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	24	40	27.6	64.0	256	6.1	CC0-1.0	yes	paper · card · v0 · v1
ds003885	Capacity for movement is an organisational principle in object represe Object motion 1	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	24	24	27.1	123.0	1,000	49.6	CC0-1.0	yes	paper · card · v0 · v1
nm000173	Motor Imagery ataset from Ofner et al 2017 Ofner2017	v0, converted	MOABB	NEMAR	BCI (MI & P300)	15	300	27.1	61.0	512	9.2	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds003887	Capacity for movement is an organisational principle in object represe Object motion 2	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	24	24	26.8	123.0	1,000	49.1	CC0-1.0	yes	paper · card · v0 · v1
ds002721	An EEG dataset recorded during affective music listening Affective music	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	31	185	26.3	19.0	1,000	3.6	CC0-1.0	yes	paper · card · v0 · v1
nm000217	P300 dataset BI2015b from a "Brain Invaders" experiment BI2015b	v0, converted	MOABB	NEMAR	BCI (MI & P300)	44	176	26.1	32.0	512	4.6	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds004951	Braille letters - EEG Braille letters	v0, converted	OpenNeuro	OpenNeuro	learning & reward	11	23	25.8	63.0	1,000	23.6	CC0-1.0	yes	paper · card · v0 · v1
ds005262	ArEEG: Arabic Inner Speech EEG dataset Arabic inner speech	v0, converted	OpenNeuro	OpenNeuro	auditory & language	12	186	25.0	8.0	250	0.7	CC0-1.0	yes	paper · card · v0 · v1
ds003846	Prediction Error Prediction error	v0, converted	OpenNeuro	OpenNeuro	learning & reward	19	50	22.7	63.0	500	10.5	CC0-1.0	yes	paper · card · v0 · v1
ds004315	Mood Manipulation and PST, Experiment 1 Mood induction	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	50	50	21.1	59.5	500	10.5	CC0-1.0	yes	paper · card · v0 · v1
ds002680	Go-nogo categorization and detection task Go/no-go	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	14	350	20.8	19.0	1,000	9.9	CC0-1.0	yes	paper · card · v0 · v1
ds004408	EEG responses to continuous naturalistic speech Natural speech	v0, converted	OpenNeuro	OpenNeuro	auditory & language	19	380	20.6	128.0	512	20.1	CC0-1.0	yes	paper · card · v0 · v1
nm000245	Motor Imagery dataset from Cho et al 2017 Cho2017	v0, converted	MOABB	NEMAR	BCI (MI & P300)	52	52	20.5	64.0	512	7.2	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds005189	Search Superiority Recollection Familiarity Recollection	v0, converted	OpenNeuro	OpenNeuro	memory & cognition	30	30	20.1	62.0	1,000	17.3	CC0-1.0	yes	paper · card · v0 · v1
ds004324	ToonFaces Toon faces	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	26	26	19.2	28.0	500	2.6	CC0-1.0	yes	paper · card · v0 · v1
ds004043	The time-course of feature-based attention effects dissociated from te Feature attention	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	20	20	18.2	63.0	1,000	16.6	CC0-1.0	yes	paper · card · v0 · v1
ds004902	A Resting-state EEG Dataset for Sleep Deprivation Sleep deprivation	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	71	218	18.0	61.0	500	8.9	CC0-1.0	yes	paper · card · v0 · v1
ds005620	A repeated awakening study exploring the capacity of complexity measur Anaesthesia	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	21	202	17.9	62.0	5,000	83.0	CC0-1.0	yes	paper · card · v0 · v1
ds005095	STERNBERG DIFFICULT Sternberg	v0, converted	OpenNeuro	OpenNeuro	memory & cognition	48	48	16.9	63.0	1,000	15.3	CC0-1.0	yes	paper · card · v0 · v1
ds004477	PES - Pandemic Emergency Scenario Pandemic scenario	v0, converted	OpenNeuro	OpenNeuro	learning & reward	9	9	13.6	64.0	2,048	24.0	CC0-1.0	yes	paper · card · v0 · v1
nm000146	Motor Imagery dataset from Weibo et al 2014 Weibo2014	v0, converted	MOABB	NEMAR	BCI (MI & P300)	10	10	13.1	60.0	200	1.7	CC0-1.0	yes	paper · card · v0 · v1
nm000244	P300 dataset BI2014a from a "Brain Invaders" experiment BI2014a	v0, converted	MOABB	NEMAR	BCI (MI & P300)	64	64	12.4	16.0	512	1.1	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds005594	Alphabetic Decision Task (Arial Light Font) Alphabetic decision	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	16	16	12.3	64.0	1,000	11.7	CC0-1.0	yes	paper · card · v0 · v1
ds004817	EEG-attention-rsvp-exp2 RSVP attention 2	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	20	20	11.9	63.0	1,000	10.8	CC0-1.0	yes	paper · card · v0 · v1
nm000216	P300 dataset BI2015a from a "Brain Invaders" experiment BI2015a	v0, converted	MOABB	NEMAR	BCI (MI & P300)	43	129	11.7	32.0	512	2.1	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds004152	Drum Trainer Drum trainer	v0, converted	OpenNeuro	OpenNeuro	learning & reward	21	21	11.5	31.0	1,000	5.1	CC0-1.0	yes	paper · card · v0 · v1
ds004561	Illusion of Agency over Electrically-Actuated Movements Agency illusion	v0, converted	OpenNeuro	OpenNeuro	learning & reward	23	23	11.4	62.0	10,000	104.9	CC0-1.0	yes	paper · card · v0 · v1
ds004357	Features-EEG Features-EEG	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	16	16	11.3	123.0	1,000	20.8	CC0-1.0	yes	paper · card · v0 · v1
ds004840	Dataset of electrophysiological signals (EEG, ECG, EMG) during Music t Music therapy	v0, converted	OpenNeuro	OpenNeuro	auditory & language	9	51	10.9	8.0	1,024	0.6	CC0-1.0	yes	paper · card · v0 · v1
ds004816	EEG-attention-rsvp-exp1 RSVP attention 1	v0, converted	OpenNeuro	OpenNeuro	perception & emotion	20	20	10.7	63.0	1,000	9.7	CC0-1.0	yes	paper · card · v0 · v1
ds003775	SRM Resting-state EEG SRM rest	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	110	152	10.1	64.0	1,024	4.8	CC0-1.0	yes	paper · card · v0 · v1
ds004147	Average Task Value Task value	v0, converted	OpenNeuro	OpenNeuro	learning & reward	12	12	9.6	31.0	1,000	4.3	CC0-1.0	yes	paper · card · v0 · v1
ds004284	eeg-neuroforecasting Neuroforecasting	v0, converted	OpenNeuro	OpenNeuro	learning & reward	18	18	9.5	129.0	1,000	17.6	CC0-1.0	yes	paper · card · v0 · v1
nm000158	Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery) Liu2024 (stroke)	v0, converted	MOABB	NEMAR	BCI (MI & P300)	59	100	8.9	29.5	500	0.7	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
ds004262	Continuous Feedback Processing Feedback	v0, converted	OpenNeuro	OpenNeuro	learning & reward	21	21	8.3	31.0	1,000	3.7	CC0-1.0	yes	card · v0 · v1	on the release card, not in the paper
ds004264	Steer the Ship Steer the ship	v0, converted	OpenNeuro	OpenNeuro	learning & reward	21	21	7.5	31.0	1,000	3.5	CC0-1.0	yes	paper · card · v0 · v1
ds002778	UC San Diego Resting State EEG Data from Patients with Parkinson's Dis Parkinson rest	v0, converted	OpenNeuro	OpenNeuro	resting & consciousness	31	46	2.5	32.0	512	0.6	CC0-1.0	yes	paper · card · v0 · v1
nm000215	P300 dataset BI2014b from a "Brain Invaders" experiment BI2014b	v0, converted	MOABB	NEMAR	BCI (MI & P300)	38	38	2.4	32.0	512	0.4	CC-BY-4.0	yes (credit)	paper · card · v0 · v1
nm000181	NMT: Neurodiagnostic Montage Template Scalp EEG NMT	v1, to convert	Other	NEMAR	clinical routine EEG	2,417	2,417	489.0	21.0	200	14.8	CC-BY-SA-4.0	yes (same licence)	paper · v1	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host Zenodo (10.5281/zenodo.10909103), paper 10.3389/fnins.2021.755817; licence CC BY-SA 4.0 from NEMAR's dataset_description
nm000250	Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research Dreyer2023	v1, to convert	Other	NEMAR	BCI (MI & P300)	96	1,560	126.9	27.0	512	17.0	CC-BY-4.0	yes (credit)	paper · v1	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; the paper's Inria Large BCI database; original host Zenodo (10.5281/zenodo.8089820), paper 10.1038/s41597-023-02445-z; hours from 1,040 of 1,560 records; 520 records carry no duration in EEGDash
nm000323	Lee2019ERP Lee2019ERP	v1, to convert	MOABB	NEMAR	BCI (MI & P300)	54	432	116.2	66.0	1,000	141.4	GPL-3.0	yes (GPL, same licence)	paper · v1	numbers from EEGDash's records until converted; P300; MOABB set on NEMAR
nm000232	THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition THINGS-EEG2	v1, to convert	Other	NEMAR	perception & emotion	10	638	87.3	63.0	1,000	259.3	CC-BY-4.0	yes (credit)	paper · v1	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host OSF (10.17605/OSF.IO/3JK45), paper 10.1016/j.neuroimage.2022.119754; hours from 319 of 638 records; 319 records carry no duration in EEGDash
nm000172	Schirrmeister2017 Schirrmeister2017	v1, to convert	MOABB	NEMAR	BCI (MI & P300)	14	56	57.4	128.0	500	19.9	CC-BY-4.0	yes (credit)	paper · v1	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000273	Lee2019SSVEP Lee2019SSVEP	v1, to convert	MOABB	NEMAR	SSVEP	54	108	40.6	62.0	1,000	77.7	CC-BY-4.0	yes (credit)	paper · v1	numbers from EEGDash's records until converted; SSVEP; MOABB set on NEMAR
nm000267	Shin2017A Shin2017A	v1, to convert	MOABB	NEMAR	BCI (MI & P300)	29	174	29.0	32.0	200	2.0	GPL-3.0	yes (GPL, same licence)	paper · v1	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000266	Sosulski2019 Sosulski2019	v1, to convert	MOABB	NEMAR	BCI (MI & P300)	13	2,120	19.6	37.0	1,000	3.9	CC-BY-SA-4.0	yes (same licence)	paper · v1	numbers from EEGDash's records until converted; P300; MOABB set on NEMAR
nm000123	Kalunga2016 Kalunga2016	v1, to convert	MOABB	NEMAR	SSVEP	12	30	2.6	8.0	256	0.1	CC-BY-4.0	yes (credit)	paper · v1	numbers from EEGDash's records until converted; SSVEP; MOABB set on NEMAR
nm000138	AlexMI AlexMI	v1, to convert	MOABB	NEMAR	BCI (MI & P300)	8	8	1.1	16.0	512	0.1	CC-BY-SA-4.0	yes (same licence)	paper · v1	numbers from EEGDash's records until converted; motor imagery; MOABB set on NEMAR
nm000238	SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants SparrKULee	v1, to convert	Other	NEMAR	auditory & language	81	1,599					CC-BY-NC-4.0	yes (non-commercial)	paper · v1	numbers from EEGDash's records until converted; found on NEMAR 2026-10-09 via EEGDash's dataset summary; original host KU Leuven RDR; licence CC BY-NC 4.0 from NEMAR's dataset_description (EEGDash's record lists none): a v1 store that includes it carries non-commercial terms; EEGDash records carry no signal metadata; 81 subjects, 1,599 records (eeg + beh); measure at conversion
siena-scalp-eeg	Siena Scalp EEG Database v1.0.0	to ingest	PhysioNet	PhysioNet	seizure						17.0	CC-BY-4.0	yes (credit)	paper · v1	held, not converted: counts and hours not measured yet; a local copy is held (58 files, 17 GB, checksums verified); 14 subjects, about 130 h, 29 channels; PhysioNet's public S3 mirror is the fast way to fetch it

The 78 datasets of eegdash-corpus-v1. Click a header to sort, hover a number for its source.