nm000134 NEMAR-native dataset

Alljoined-1.6M

Alljoined-1.6M is a large-scale EEG dataset comprising over 1.6 million trials of neural responses to rapid serial visual presentation (RSVP) of natural images from the THINGS database. Recorded from 20 healthy adult participants using a consumer-grade 32-channel EMOTIV FLEX2 system across four sessions each, this dataset evaluates the feasibility of conducting deep neural network-based brain-computer interface and semantic decoding research with affordable EEG hardware (~$2.2k) compared to research-grade systems. The study combines visual stimulus presentation with an oddball detection task to maintain participant engagement while capturing robust neural signatures of visual processing.

EEG
Download zip Issues GitHub

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/nm000134), 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 nm000134
cd nm000134 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000134/ — 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.
DOI 10.82901/nemar.nm000134

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