Discover datasets

This dataset contains local field potential (LFP) recordings from the hippocampus and prefrontal cortex of 6-month-old transgenic TgF344-AD rats during linear track locomotion. The TgF344-AD rat model exhibits Alzheimer's disease-like pathology, making this dataset valuable for investigating neural correlates of spatial navigation and cognitive function in the context of neurodegeneration.

Participants

9

Channels

14 (other)

Size

26.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005415-blue…

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

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

…iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial…

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains non-invasive electrophysiological recordings from the human spinal cord in 30 healthy young adults during a temporal expectation paradigm. Subjects received electric median nerve stimulation preceded by an auditory cue with either fixed or variable timing, allowing investigation of whether temporal expectation modulates initial sensory processing at the spinal level. Recordings used a specialized multi-ring electrode montage around the neck to capture spinal cord signals.

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002001-blue…

Participants

11

Size

81.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005670-blue…

Participants

2

Size

709 MB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds007262

Participants

20

Channels

19 (10-20)

Citations

1

Size

1.92 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings collected as part of a delayed repetition free recall (DelayRepFR) memory experiment, converted to BIDS format for reuse and analysis. It is a read-only derivative distribution intended for the OpenNeuro and NEMAR platforms, part of a broader effort by Michael Kahana's lab studying human memory processes.

Participants

33

Channels

128 (biosemi)

Size

284 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006460-blue…

Participants

17

Size

460 MB

Version

v1.0.0

Updated

Jul 10, 2026