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100 results for "Temporal Lobe" · page 6 of 10 · ranked by relevance

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on005863
Cognitive Electrophysiology in Socioeconomic Context in Adulthood

EEG

This dataset contains EEG recordings from 127 young adults (18-30 years) collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.

Participants

127

Channels

27

Citations

7

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Elif Isbell et al. OpenNeuro ds005863
nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing

ANAT MEG

…encoding and decoding analyses of temporally-resolved brain responses to speech. We…

Participants

27

Citations

46

Size

99.3 GB

Version

v1.0.1

Updated

Jul 10, 2026

by Laura Gwilliams et al.
on002550
Differential brain mechanisms of selection and maintenance of information during working memory (MEG data)

ANAT MEG

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Romain Quentin et al. OpenNeuro ds002550
on007753
BCCWJ-EEG

EEG

…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…

Participants

41

Channels

64 (10-10)

Citations

1

Size

89.1 GB

Version

v1.0.0

Updated

Aug 18, 2026

by Yushi Sugimoto et al. OpenNeuro ds007753
on002712
Numbers and Letters

ANAT BEH MEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002712-blue…

Participants

25

Size

310 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Sara Aurtenetxe et al. OpenNeuro ds002712
on006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits

BEH EEG

This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.

Participants

30

Channels

63 (10-10)

Citations

5

Size

41.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Alexandra I. Kosachenko et al. OpenNeuro ds006848
on007763
BCCWJ-MEG

ANAT MEG

…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…

Participants

35

Citations

74

Size

166 GB

Version

v1.0.0

Updated

Aug 18, 2026

by Yushi Sugimoto et al. OpenNeuro ds007763
nm000199
Learning from label proportions for a visual matrix speller (ERP)

EEG

This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.2

Updated

Aug 18, 2026

by David Hübner et al.
on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision

EEG

…FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central…

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Yan Wu et al. OpenNeuro ds005416
nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)

EEG

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Blair Kaneshiro et al.