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on003825
NEMAR copy of ds003825

Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts

Imported from OpenNeuro ds003825

EEG

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on003825), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning.

    npm install -g nemar-cli
    nemar dataset clone on003825
    cd on003825 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/on003825/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.
README from GitHub repository This README isn't in the version manifest yet. Showing the latest from github.com/nemarDatasets/on003825 instead.

![DOI](https://doi.org/10.82901/nemar.on003825)

Experiment Details Human electroencephalography recordings from 50 subjects for 1,854 concepts and 22,248 images in the THINGS stimulus database. Images were presented in rapid serial visual presentation streams at 10Hz rates. Participants performed an orthogonal fixation colour change detection task.

Experiment length: 1 hour

Stimuli

The 22,248 stimulus images are NOT bundled with this BIDS dataset: the THINGS image archive (Hebart et al. 2019) is licensed for research / non-commercial use and may not be redistributed without consent of the copyright owners. Acquire the archive directly from the canonical OSF project (https://osf.io/jum2f/, file images_THINGS.zip, ~5 GB, password documented at osf.io/j6a3m), and unpack it under stimuli/<concept>/<file>.jpg.

Once the images are in place, every events.tsv stim_file column entry resolves to a real file. Two helpers are provided:

# 1) one-off normalisation: rewrites events.tsv to BIDS-canonical form
#    (adds stim_file, drops stim/stimname, converts onset/duration to seconds)
python code/normalize_events_to_bids.py

# 2) sanity check after stimuli are placed
python code/smoke_test.py
import pandas as pd
from code.align_stimuli import StimulusAligner

aligner = StimulusAligner('.')
events = pd.read_csv('sub-01/eeg/sub-01_task-rsvp_events.tsv', sep='\t')
paths = aligner.paths_for_events(events)   # list[Path | None]

See stimuli/README for the license terms and stimuli/stim-things_image.json for the BIDS stimulus sidecar.

Files

56 top-level entries · 55.3 GB total