Discover datasets

NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.

Participants

31

Size

215 GB

Version

v1.0.0

Updated

Jun 27, 2026

…of open resources targeting the intermediate stage between low-level acoustic encoding…

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

A derivative repackaging of the authors' public Dryad release accompanying Tong et al. (2021), containing figure-level arrays for panels of Figures 1-4. It includes epoched and band-filtered iEEG, micro-LFP from 96-channel Utah arrays, time-frequency power, ripple rasters and spike indices from the human anterior temporal lobe, recorded during a paired-associates verbal memory task in patients with drug-resistant epilepsy. The data support analyses showing that ripples reflect a spectrum of synchronous spiking activity. Raw continuous recordings are not included.

Participants

7

Size

3.98 GB

Version

v1.0.0

Updated

Oct 8, 2026

…the deposit's `intermediate_data` (CITL day-by-day predictions, fine-tuning…

Participants

13

Channels

28 (10-10)

Size

514 GB

Version

v1.0.0

Updated

Oct 13, 2026

Preprocessed stereotactic EEG (SEEG) high-gamma power (50-100 Hz) from 16 patients with pharmaco-resistant epilepsy performing a probabilistic instrumental learning task with reward and punishment conditions. Data cover 248 bipolar derivations in the anterior insula, dorsolateral prefrontal cortex, lateral orbitofrontal cortex and ventromedial prefrontal cortex, time-locked to outcome. The derivative release supports information-theoretic analyses showing dissociable reward and punishment subsystems in the human frontal cortex.

Participants

16

Size

464 MB

Version

v1.0.0

Updated

Oct 8, 2026

…well as good overall short, intermediate, and long-term re-test reliability…

Participants

608

Channels

64 (10-10)

Size

74.1 GB

Version

v1.0.0

Updated

Jun 14, 2026

Intraoperative microelectrode recordings (MER) from 132 patients undergoing deep brain stimulation surgery at the University Clinical Centre in Gdańsk, Poland. Diagnoses include Parkinson's disease, Huntington's disease, dystonia and other movement disorders. This derivative release contains short, band-pass filtered segments selected by a Random Forest signal-quality classifier, plus 29 expert-annotated excerpts labelled as striatum/putamen, GPe or GPi. Data are repackaged in BIDS as BrainVision float32 files.

Participants

132

Size

50.4 GB

Version

v1.0.0

Updated

Oct 13, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000350-blue…

Participants

4

Size

104 GB

Version

v1.0.0

Updated

Oct 8, 2026

MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jun 21, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000376-blue…

Participants

9

Size

12.9 GB

Version

v1.0.0

Updated

Oct 8, 2026