on006502
Skill learning and consolidation in healthy humans
ANAT MEG Zarr
…by the Human Cortical Physiology & Neurorehabilitation Section (HCPS) in the NINDS Intramural…
- Participants
- 31
- Size
- 95.8 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
Discover datasets
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- nm000318
Batista2022: Motor-imagery EEG during NeuRow VR/haptics BCI training
EEG…motor imagery, BCI, brain-computer interface, EEG, virtual reality, haptics, neurorehabilitation References…
- Participants
- 20
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 5.48 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on006801
Resting-state EEG before and after different study methods
EEG ZarrOpen-access resting-state EEG recordings from 21 neurotypical undergraduate students at the Federal University of Paraíba, Brazil, collected before and after different study methods. Participants were randomly assigned to an active learning group (retrieval practice with feedback), a passive learning group (review of lecture notes), or a control group with no review. The dataset supports research in cognitive neuroscience, educational neuroscience, and the neural correlates of learning and memory.
- Participants
- 21
- Channels
- 31
- Size
- 1.32 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- nm000306
Jia2019: Motor-imagery EEG dataset for stroke patients (Jia 2019)
EEG…motor imagery, BCI, brain-computer interface, EEG, stroke, neurorehabilitation References ---------- Jia, T…
- Participants
- 15
- Channels
- 63 (other)
- HED
- v8.4.0
- Size
- 1.74 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on004624
Intracranial recordings using BCI2000 and the CorTec BrainInterchange
ANAT iEEG ZarrThis dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.
- Participants
- 3
- Size
- 19.3 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- nm000294
Farabbi2020: Motor-Imagery EEG dataset during robot-arm control
EEG…robot arm control, neurorehabilitation Environment: lab Online feedback: True Tags ---- Pathology: healthy…
- Participants
- 12
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on003194
Neuroepo multisession
EEGResting-state EEG recorded from 25 patients with Parkinson's disease enrolled in a double-blind, randomized, placebo-controlled trial of Neuroepo, an erythropoietin formulation with low sialic acid content. Participants received Neuroepo (n=15) or placebo (n=10), and EEG was recorded before and six months after administration. Raw data are provided in EEG-BIDS format to support assessment of qualitative and quantitative EEG (source-level) biomarkers of neuroprotection.
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- nm000292
Vagaja2023: Motor-imagery EEG during embodiment-primed MI-BCI training in VR
EEG Zarr…reality, embodiment, virtual hand illusion, neurorehabilitation References ---------- Vagaja, K., and Vourvopoulos, A…
- Participants
- 26
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 3.65 GB
- Version
- v1.0.1
- Updated
- Oct 8, 2026
- on003195
Placebo Neuroepo multisession
EEGResting-state EEG recorded from 25 patients with Parkinson's disease enrolled in a double-blind, randomized, placebo-controlled trial of Neuroepo, an EPO formulation with low sialic acid content. Recordings were acquired before and six months after drug or placebo administration (Neuroepo n=15, placebo n=10). The raw data are shared in EEG-BIDS format to support evaluation of neuroprotective effects and qEEG biomarkers of disease progression.
- Participants
- 10
- Channels
- 19 (10-20)
- Citations
- 2
- Size
- 121 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- nm000206
Neuroergonomic 2021 dataset
EEG ZarrThis dataset contains 62-channel EEG recorded at 500 Hz from 15 healthy participants across two sessions. It combines resting-state recordings with three difficulty levels (easy, medium, difficult) of the MATB-II multitasking paradigm, and was designed for passive brain-computer interface research on cross-session mental workload estimation. The BIDS version is a MOABB-derived conversion of the COG-BCI database, with HED event annotations.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 70
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.0
- Updated
- Jun 2, 2026