nm000472 NEMAR-native dataset

Zenodo-22150094: example stereo-EEG (sEEG) recording with one clinically confirmed seizure

A stereo-EEG (sEEG) recording from one patient undergoing clinical intracranial monitoring, containing a single clinically confirmed seizure with bilateral tonic-clonic evolution. The recording has 100 sEEG contacts across 12 electrodes plus 2 marker channels, sampled at 256 Hz for about 3.9 hours. Annotations mark the clinical onset and seizure. It is shared in iEEG-BIDS format from a Zenodo deposit.

IEEG

Issues GitHub

Download this dataset

Pick a method. Large datasets skip the zip; resume support depends on each file's storage type. Full download guide →

Download archive (.zip) — 0.7 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 nm000472
```

DataLad

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

datalad clone https://github.com/nemarDatasets/nm000472 nm000472
cd nm000472 && datalad get .

git-annex

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

git clone https://github.com/nemarDatasets/nm000472 nm000472
cd nm000472 && git annex get .

Direct files (wget / curl / rclone)
Every file is listed by its stable manifest URL. Single-range requests and resume are currently supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery still awaits isolated, non-synthetic acceptance. Needs curl, jq, wget (or rclone/aria2c). Docs →
```
curl -s https://data.nemar.org/nm000472/v1.0.0/manifest.json | jq -r '.[].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/nm000472), 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 nm000472
cd nm000472 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000472/ — the manifest carries stable data-plane file URLs. Single-range requests are supported for annex-backed entries; git-tracked files are served as full bodies. Real chunk-only byte delivery remains under isolated acceptance.

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: 1
Size: 709 MB
Tasks: seizure

License and terms

License: CC-BY-4.0
Recommended citation: AI-is-out-there (2026). Zenodo-22150094: example stereo-EEG (sEEG) recording with one clinically confirmed seizure (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000472

Where the bytes are

Latest version (always current): https://data.nemar.org/nm000472/latest/
This version (v1.0.0): https://data.nemar.org/nm000472/v1.0.0/

How to download

The dataset: nemar dataset download nm000472 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 nm000472 --subjects sub-01,02 Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude.
A subset, step 1: nemar dataset clone nm000472 Clones git-annex pointers only; fetches no file content. Creates ./nm000472.
A subset, step 2: cd nm000472 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/nm000472/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.

Assess fit without downloading

Participants table: https://data.nemar.org/nm000472/v1.0.0/participants.tsv
Dataset description: https://data.nemar.org/nm000472/v1.0.0/dataset_description.json
Directory listing: https://data.nemar.org/nm000472/v1.0.0/?format=json
Catalog record: https://api.nemar.org/datasets/nm000472