Datasets:

EEGDash
/

ds007521

pretty_name: >-
  The effect of hunger and state preferences on the neural processing of food
  images
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - attention
size_categories:
  - n<1K
task_categories:
  - other

The effect of hunger and state preferences on the neural processing of food images

Dataset ID: ds007521

Moerel2026

Canonical aliases: Moerel2025

At a glance: EEG · Visual attention · healthy · 23 subjects · 46 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="ds007521", 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 Moerel2025
ds = Moerel2025(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/ds007521")

Dataset metadata


Subjects	23
Recordings	46
Tasks (count)	1
Channels	64 (×46)
Sampling rate (Hz)	100 (×46)
Total duration (h)	34.2
Size on disk	29.0 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Attention
Population	Healthy
Source	openneuro
License	CC0

The effect of hunger and state preferences on the neural processing of food images

Load this dataset

Dataset metadata

Links