Discover datasets

A fully anonymized long-term intracranial EEG dataset from 40 patients with pharmacoresistant epilepsy recorded at the Sleep-Wake-Epilepsy-Center, University of Bern. The dataset comprises 5376 hours of continuous iEEG with 381 annotated electrographic seizures, sampled at 512 or 1024 Hz and preprocessed with band-pass filtering and median referencing. This resource supports development and validation of seizure detection and neuronal activity modeling algorithms.

Participants

40

Size

2.96 TB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings acquired during non-REM sleep from patients undergoing clinical monitoring. The data were collected to investigate high-frequency activity patterns and develop comprehensive models of neural oscillations during sleep, contributing to understanding of intracranial electrophysiology and sleep neuroscience.

Participants

65

Size

33.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings acquired during non-REM sleep from patients undergoing clinical monitoring. The data were collected to investigate high-frequency activity patterns and develop comprehensive models of neural oscillations during sleep, as described in Hatano et al. (in press). This represents part 3 of a multi-part iEEG high-frequency activity modeling study.

Participants

103

Size

32.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings acquired during non-REM sleep from multiple subjects. The data were collected to develop and validate a comprehensive model of high-frequency activity (HFA) in epilepsy research. This represents part 1 of a multi-part dataset designed to characterize neural oscillations and their clinical significance during sleep states.

Participants

65

Size

33.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

A long-term intracranial electroencephalography (iEEG) dataset from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, comprising bilateral recordings from epileptic lesion areas. Each recording captures 90 seconds of dual-channel iEEG centered on stimulation events, with detailed stimulation parameters and seizure event markers. The dataset enables investigation of seizure onset pattern evolution and iEEG characteristic changes following electrical stimulation therapy.

Participants

8

Size

491 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 110 individuals performing a visual-naming task. Electrode coordinates are provided in MNI-305 stereotactic space. The dataset includes event markers for stimulus onset and response onset, enabling analysis of neural dynamics during language production and visual processing.

Participants

110

Size

17.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 121 individuals performing an auditory-naming task. Electrode coordinates are provided in MNI-305 stereotactic space. The dataset includes event markers for stimulus onset, stimulus offset, and response onset, enabling analysis of neural dynamics during speech production and auditory processing.

Participants

121

Size

44.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

A longitudinal wireless subdural electrocorticography (ECoG) dataset from two fully implanted macaque monkeys (Macaca fuscata), organized in BIDS-iEEG format. The dataset comprises multiple recording sessions acquired weekly using an inductively powered wireless implant during rest and task-based conditions (pressing, reaching, listening, and sensorimotor tasks). This resource enables reproducible research in primate neurophysiology and brain-computer interface development. The dataset was independently curated and reorganized from in-house raw recordings (.bin files) using a custom BIDS converter. The original in-house raw recordings that served as the source for this BIDS-organized dataset are not publicly released. While a related version exists on OpenNeuro (ds006890), this dataset represents an independently maintained BIDS reorganization of the original in-house recordings.

Participants

2

Size

41.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 23 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. The dataset includes 41 high-frequency stimulation events that evoked negative motor responses, with 24-second iEEG recordings per stimulation event (9-10 seconds pre-stimulation, up to 5 seconds stimulation, and 9-10 seconds post-stimulation). Stimulation parameters, contact pairs, current intensities, and evoked effects are documented in event files, enabling analysis of cortical responses to electrical stimulation.

Participants

21

Size

958 MB

Version

v1.0.0

Updated

Jul 10, 2026

This BIDS dataset demonstrates the application of the Hierarchical Event Descriptor (HED) schema library for Standardized Computer-based Organized Reporting of EEG (SCORE) to annotate intracranial EEG recordings. The dataset contains iEEG data from a single subject acquired during clinical photic stimulation at Mayo Clinic Rochester, with machine-readable event annotations validated against both BIDS and HED standards.

Participants

1

HED

vscore_2.0.0

Size

32.0 MB

Version

v1.0.0

Updated

Jul 10, 2026