Discover datasets

EEG data for the Python reading task (acceptability judgments) described in [Kuo, C-H. and Prat, C.S. Programmers show distinct, language-like brain responses to violations in form and meaning when reading code], pending submission to Nature Communications. This study recruited 62 total subjects. 1 subject did not complete the EEG session and was removed from all analyses and is not included in this dataset. The remaining 61 individuals' EEG data are included. The participants info file contain

Participants

61

Size

1.36 GB

Updated

Jun 6, 2026

Dataset of intracranial EEG from human epilepsy patients performing a visuospatial working memory task Description: We present an electrophysiological dataset recorded from ten subjects during a visuospatial working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects completed 60 trials (five sessions) of Memory Matrix - a visuospatial working memory game on the Lumosity platform (https://www.lumosity.com/; Lumos Labs

Participants

10

Size

8.69 GB

Updated

Jun 6, 2026

### Dataset of intracranial EEG, scalp EEG and beamforming sources from human epilepsy patients performing a verbal working memory task #### Description We present an electrophysiological dataset recorded from fifteen subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally sepa

Participants

15

Size

10.2 GB

Updated

Jun 6, 2026

## Overview In the field of neurobiology of language, existing research predominantly focuses on data from a limited number of Indo-European languages and primarily involves younger adults, overlooking other age groups. This experiment aims to address these gaps by creating a comprehensive multimodal database. The primary goal is to advance our understanding of language processing in older adults and the impact of healthy aging on brain-behavior relationships. The experiment involves collectin

Participants

52

Size

37.0 GB

Updated

Jun 6, 2026

This dataset contains behavioral events and electrophysiological recordings from an experiment run in the Computational Memory Lab at the University of Pennsylvania from 2021-2022 with funding from U.S. Army Medical Research and Development Command (USAMRDC) through the Medical Technology Enterprise Consortium (MTEC) project MTEC-20-06-MOM-013, "Restoring memory with task-independent semi-chronic closed-loop direct brain stimulation and non-invasive closed-loop stimulus timing optimization". Thi

Participants

34

Size

1.30 TB

Updated

Jun 6, 2026

CONTACT For questions about this data set, please contact Anna Mai ([email protected]; ORCiD 0000-0002-8343-9216). PERMISSIONS These data may not be used for commericial purposes, including but not limited to use in any kind of training set for commercial machine learning applications. These data may not be used in any way that either in part or in whole disambiguates participant identity, including but not limited to attempts at 3D facial reconstruction. RECORDING SETUP These d

Participants

10

Size

12.4 GB

Updated

Jun 6, 2026

# Information This dataset contains intracranial EEG (iEEG) recordings from 8 patients during single pulse electrical stimulation used in the publication of: Ojeda Valencia G, Gregg N, Huang H, Lundstrom B, Brinkmann B, Pal Attia T, Van Gompel J, Bernstein M, In MH, Huston J, Worrell G, Miller KJ, and Hermes D. 2023. Signatures of electrical stimulation driven network interactions in the human limbic system. Journal of Neuroscience (in press). # License This dataset is made available under the

Participants

8

Size

14.2 GB

Updated

Jun 6, 2026

TNO dataset

Participants

21

Size

7.25 GB

Updated

Jun 6, 2026

TX20 dataset Vehicle survivability is critically important in today’s military. Survivability is critically impacted by the performance of human operators – especially as it degrades with various factors. Significant DoD investments have focused on developing and integrating autonomous technologies to mitigate the effects of human error. However, simply implementing autonomy without having a clear plan for integrating with human operators can lead to relatively poor performance and thus low use

Participants

24

Size

43.1 GB

Updated

Jun 6, 2026

## Intraoperative recordings of medianus stimulation with low and high impedance ECoG This dataset of medianus SEP was first analyzed in publication [1]. There we investigated whether the low impedance ECoG electrode (LoZ) improves fast ripple detection over a standard electrode with high impedance contacts (HiZ). There are 10 patients (median age 40 y, range 19-56 y, 6 female) who underwent brain tumor resections in the perirolandic region at our institution. The data includes the continuous r

Participants

10

Size

1.20 GB

Updated

Jun 6, 2026