EEGDash/ds004860

Investigating the cognitive conflict triggered by moral judgment of accidental harm : an event-related potentials study

Dataset ID: ds004860

Schwartz2023

At a glance: EEG · Auditory decision-making · healthy · 31 subjects · 31 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="ds004860", cache_dir="./cache")
print(len(ds), "recordings")

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/ds004860")

Dataset metadata

Subjects	31
Age range	19–45 yrs, mean 22.3
Recordings	31
Tasks (count)	1
Channels	36 (×31)
Sampling rate (Hz)	512 (×30), 2048 (×1)
Total duration (h)	16.4
Size on disk	3.8 GB
Recording type	EEG
Experimental modality	Auditory
Paradigm type	Decision-making
Population	Healthy
BIDS version	1.8.0
Source	openneuro
License	CC0
NEMAR citations	1

Tasks

• HarmN400

Upstream README

Verbatim from the dataset's authors — the canonical description.

EEG data collected from 31 participants as part of a research program on moral judgment. The experiment consists of a third-party moral judgment task integrated into a semantic judgment task (N400). Participants listened to moral scenarios featuring either intentional or accidental harm transgressions. The last word of the scenario appeared as text (target) and participants had to respond whether the target was congruent with the scenario they just heard by pressing a response button. The target was congruent half of the time. The agent's intention and semantic congruency were manipulated orthogonally, leading to 4 within-subject conditions. For 20% of the moral scenarios, a moral judgment question (punishment) was presented immediately after the congruency judgment and participants indicated how much punishment the agent responsible for the moral transgression deserved using a joystick.

People

Authors

• Flora Schwartz
• Radouane El-Yagoubi
• Julie Cayron
• Pierre-Vincent Paubel
• Bastien Tremoliere (senior)

Contact

• Flora Schwartz

Links

• DOI: 10.18112/openneuro.ds004860.v1.0.0
• OpenNeuro: ds004860
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

Provenance

• Backend: s3 — s3://openneuro.org/ds004860
• Exact size: 4,065,631,774 bytes (3.8 GB)
• Ingested: 2026-04-06
• Stats computed: 2026-04-04

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Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.