Discover datasets

This dataset contains long-term pre-surgical intracranial EEG (iEEG) recordings from 40 patients with pharmacoresistant epilepsy, collected at the Sleep-Wake-Epilepsy-Center (SWEC), University of Bern, in collaboration with ETH Zurich. It comprises approximately 5376 hours of continuous iEEG recorded via strip, grid, and depth electrodes, with 381 annotated electrographic seizures marked by a board-certified epileptologist. The dataset is fully anonymized, with channel and electrode location information withheld to protect patient identity, and is structured in BIDS format for long-term monitoring analysis.

Participants

40

Citations

2

Size

2.96 TB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises intracranial EEG recordings obtained during non-REM sleep from patients undergoing clinical epilepsy monitoring. The data were collected to investigate high-frequency activity (HFA) and support a comprehensive model of cortical function, as described in Hatano et al. (in press). This dataset represents part 2 of a larger collection.

Participants

65

Size

33.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings collected during non-REM sleep from patients undergoing clinical evaluation for epilepsy surgery. The data were acquired across multiple institutions and are part of a broader study modeling high-frequency activity (HFA) in the human brain. This dataset represents part 3 of a comprehensive iEEG HFA modeling project.

Participants

103

Size

32.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (iEEG) recordings acquired during non-REM sleep from patients undergoing epilepsy monitoring across multiple clinical sites. The data were collected to support a comprehensive model of high-frequency activity (HFA) reported in Hatano et al. (in press). It is part one of a larger multi-part dataset release.

Participants

65

Size

33.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises long-term intracranial EEG (iEEG) recordings from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, recorded from bilateral epileptic lesion areas over periods exceeding six months. Each recording captures dual-channel iEEG activity around electrical stimulation events, including pre- and post-stimulation periods, with associated stimulation parameters and event markers. The dataset is intended to support analysis of seizure onset pattern alterations during epilepsy progression and iEEG characteristic changes following electrical stimulation.

Participants

8

Citations

1

Size

498 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG recordings from 110 individuals who performed a visual-naming task, with electrode coordinates provided in MNI-305 space. It was collected to support analyses of effective connectivity underlying speech and language processing, as reported by Kochi et al. (2025). Each recording is annotated with event codes marking stimulus and response onsets.

Participants

110

Size

17.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG recordings from 121 individuals who performed an auditory-naming task, with electrode coordinates provided in MNI-305 space. The data support analyses of whole-brain, millisecond-scale effective connectivity underlying speech processing, as reported by Kochi et al. (2025).

Participants

121

Size

44.6 GB

Version

v1.0.0

Updated

Aug 19, 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

Citations

4

Size

41.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.

Participants

21

Citations

1

Size

1.04 GB

Version

v1.0.0

Updated

Aug 19, 2026

This BIDS example dataset contains intracranial EEG (iEEG) recordings from a single subject collected during clinical photic stimulation at Mayo Clinic. It demonstrates the use of the HED-SCORE (Standardized Computer-based Organized Reporting of EEG) schema library for annotating events in a machine-readable, BIDS- and HED-validated format, supporting standardized event annotation practices in EEG/iEEG research.

Participants

1

Citations

2

HED

vscore_2.0.0

Size

32.0 MB

Version

v1.0.0

Updated

Aug 19, 2026