Color Change Detection Task

Raw electrophysiological recordings from a color change detection task, a visual working memory paradigm. The dataset is organized in BIDS format and is available through OpenNeuro and NEMAR. The README provides little detail on the participants or the acquisition, so the description is limited to what the dataset name and metadata state.

IEEG

Issues GitHub OpenNeuro ds005624

Download this dataset

Pick a method. Large datasets skip the zip and use the streaming methods below — all resumable. Full download guide →

Download archive (.zip) — 7.1 GB
A single zip of the published version. Best for small/medium datasets.

Download zip
NEMAR CLI recommended
Pulls the pinned version + annexed data and resumes cleanly. Install nemar-cli →
```
nemar dataset download on005624
```

DataLad

Clone the dataset repo and fetch file content on demand. Docs →

datalad clone https://github.com/nemarDatasets/on005624 on005624
cd on005624 && datalad get .

git-annex

Plain git + git-annex against the dataset repo. Docs →

git clone https://github.com/nemarDatasets/on005624 on005624
cd on005624 && git annex get .

Direct files (wget / curl / rclone)
Every file with a stable, range-resumable URL from the manifest. Needs curl, jq, wget (or rclone/aria2c). Docs →
```
curl -s https://data.nemar.org/on005624/v1.0.0/manifest.json | jq -r '.[].bytes_url' > urls.txt
wget -xc -i urls.txt
```

Compute on this dataset

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

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/on005624), and submit.
nsgportal.org →
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 on005624
cd on005624 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on005624/ — 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.

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Files

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How to use the data (for agentic research) license, citation, download commands

What it is

Modalities: IEEG
Participants: 24
Size: 13.8 GB
Tasks: CCDT

License and terms

License: CC0
Recommended citation: [Unspecified] (2026). Color Change Detection Task (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.on005624
Reference 1: https://doi.org/10.21105/joss.01896
Reference 2: https://doi.org/10.1038/s41597-019-0105-7

Where the bytes are

Latest version (always current): https://data.nemar.org/on005624/latest/
This version (v1.0.0): https://data.nemar.org/on005624/v1.0.0/

How to download

The dataset: nemar dataset download on005624 Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing.
A subset, one step: nemar dataset download on005624 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
A subset, step 1: nemar dataset clone on005624 Clones git-annex pointers only; fetches no file content. Creates ./on005624.
A subset, step 2: cd on005624 The get command below reads the clone's annex, so it only works from inside the clone.
A subset, step 3: nemar dataset get <files> Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them.
One small file: https://data.nemar.org/on005624/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

Assess fit without downloading

Participants table: https://data.nemar.org/on005624/v1.0.0/participants.tsv
Dataset description: https://data.nemar.org/on005624/v1.0.0/dataset_description.json
Directory listing: https://data.nemar.org/on005624/v1.0.0/?format=json
Catalog record: https://api.nemar.org/datasets/on005624