Discover datasets

### Free Recall with Open-Loop Stimulation at Encoding #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a delayed free recall task with open-loop stimulation at encoding. The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalling the words from the just-presented list in any order. The data was col

Participants

38

Size

64.9 GB

Updated

Jun 10, 2026

Dataset description This dataset is part of a bigger dataset of intracranial EEG (iEEG) called RESPect (Registry for Epilepsy Surgery Patients), a dataset recorded at the University Medical Center of Utrecht, the Netherlands. This dataset consists of 13 patients with long-term recordings (5 patients recorded with electrocorticography and 8 patients recorded with stereo-encephalography. For a detailed description see Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal ep

Participants

13

Size

44.7 GB

Updated

Jun 10, 2026

Welcome to the numbers dataset. These data were collected using stereoelectroencephalography recordings of epilepsy patients while they were waiting on the epilepsy monitoring unit to have seizures at Oregon Health & Science University. They were shown auditory and visual numbers that were symbolic (Arabic + spoken) or non-symbolic (dots + beeps).

Participants

13

Size

7.46 GB

Updated

Jun 10, 2026

### Free Recall of Word Lists with Repeated Items #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a repated item free recall task. The experiment consists of participants studying a list of words, presented visually one at a time, and then freely recalling the words from the just-presented list in any order. On each list, there is a 7-second delay period between the encoding and recall phases. The data were collected at clinical s

Participants

48

Size

157 GB

Updated

Jun 10, 2026

This dataset was utilized for the publication of the manuscript by Zhang et al. (in preparation). A subset of the data has been employed in [1] and [2]. Summary: This data set comprises the de-identified subjects with interictal iEEG recordings with sleep from University of California Los Angels Mattel Children’s Hospital, and Children’s Hospital of Michigan, Detroit. Subject-wise information is contained in each folder, including iEEGs collected from 185 subjects during sleep. The channel nam

Participants

185

Size

102 GB

Updated

Jun 10, 2026

In this dataset we included iEEG recordings of responses to 115 intracranial high frequency stimulations evoking visual hallucinations, in 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy. The dataset contains 21 seconds of iEEG data around each stimulation, 8 seconds before the start of the stimulation, up to 5 seconds of intracranial stimulation and 8 seconds after the end of the stimulation. We have used high-frequency bipolar stimulations of different

Participants

20

Size

4.03 GB

Updated

Jun 10, 2026

BIDS iEEG dataset for the SEEG electrode data used for analysis in the manuscript title "Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy." All coordinates are recorded in the individual native post-operative CT imaging space. There was no alignment to other imaging modalities or standardized atlases.

Participants

60

Size

282 KB

Updated

Jun 10, 2026

### Paired Associates Learning of Word Pairs #### Description This dataset contains behavioral events and intracranial electrophysiological recordings from a paired associates memory task. The experiment consists of participants studying pairs of visually presented words, solving simple arithmetic problems that function as a distractor, and then completing a cued recall task. The data was collected at clinical sites across the country as part of a collaboration with the Computational Memory L

Participants

72

Size

167 GB

Updated

Jun 10, 2026

Participants

40

Size

8.29 GB

Updated

Jun 10, 2026

WIRED ICM TUTORIAL DATA ------------------------ *Contributors:* Liberty S. Hamilton, PhD, Maansi Desai, PhD, Alyssa Field, MEd *Email:* [email protected] This is a sample BIDS dataset for the WIRED ICM course in Paris, France in March 2024. This contains intracranial recordings collected by the Hamilton Lab at the University of Texas at Austin. These recordings include examples of evoked data during natural listening tasks along with some examples of seizure-related activit

Participants

3

Size

305 MB

Updated

Jun 10, 2026