Datasets:

EEGDash
/

ds004598

pretty_name: LFP during linear track in 6-month old TgF344-AD rats
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
  - memory
  - dementia
size_categories:
  - n<1K
task_categories:
  - other

LFP during linear track in 6-month old TgF344-AD rats

Dataset ID: ds004598

Faraz2023

Canonical aliases: Moradi2024

At a glance: EEG · Motor memory · dementia · 9 subjects · 20 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds004598", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import Moradi2024
ds = Moradi2024(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds004598")

Dataset metadata


Subjects	9
Recordings	20
Tasks (count)	1
Channels	16 (×20)
Sampling rate (Hz)	10000 (×20)
Total duration (h)	8.2
Size on disk	9.9 GB
Recording type	EEG
Experimental modality	Motor
Paradigm type	Memory
Population	Dementia
Source	openneuro
License	CC0
NEMAR citations	0.0

LFP during linear track in 6-month old TgF344-AD rats

Load this dataset

Dataset metadata

Links