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pretty_name: "Multimodal dataset from the CMx7-MM Experiment"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- unknown
- other
size_categories:
- 1K<n<10K
task_categories:
- other
---
# Multimodal dataset from the CMx7-MM Experiment
**Dataset ID:** `ds007554`
_Ajra2026_
> **At a glance:** EEG, FNIRS · Unknown other · healthy · 30 subjects · 1034 recordings · CC0
## Load this dataset
This repo is a **pointer**. The raw EEG data lives at its canonical source
(OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it
on demand and returns a PyTorch / braindecode dataset.
```python
# pip install eegdash
from eegdash import EEGDashDataset
ds = EEGDashDataset(dataset="ds007554", 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:
```python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007554")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 30 |
| **Recordings** | 1034 |
| **Tasks (count)** | 7 |
| **Channels** | 32 (×1034) |
| **Sampling rate (Hz)** | 10 (×519), 250.002243692634 (×26), 250.00227279699027 (×13), 250.00027916425347 (×12), 250.00220003611236 (×12), 250.0003082681523 (×10), 250.00206906663882 (×7), 250.0003344161922 (×7), 250.0022582448113 (×7), 249.99969708769964 (×7), 250.00079612894984 (×7), 250.0003892134066 (×7), 250.0009023984434 (×7), 249.9997989509009 (×7), 250.0001952063645 (×7), 250.0004683397171 (×7), 250.0001184960745 (×7), 250.00098976743945 (×7), 250.00004633330667 (×7), 250.00197788831903 (×7), 250.00085794657687 (×7), 250.00092087268928 (×7), 250.0006918490773 (×7), 250.00020640453602 (×7), 250.0009635339967 (×7), 249.99990081418517 (×7), 249.99995902181342 (×7), 250.00038784916032 (×7), 250.00028848659534 (×7), 250.0007861528667 (×7), 250.0003228201043 (×7), 249.99991536608968 (×7), 250.00119525819466 (×7), 250.00208361879578 (×7), 249.99972619146294 (×7), 250.00217093177304 (×7), 250.00094787351506 (×6), 250.0020981709544 (×6), 249.99996084080226 (×6), 250.00055565156606 (×6), 250.0004374167852 (×6), 250.00064410035029 (×6), 250.00228734917093 (×6), 250.00205451448358 (×6), 250.00056292755625 (×6), 250.0006486478473 (×6), 250.00001813896364 (×6), 250.00026461230658 (×6), 250.00067934345654 (×6), 250.0002209564761 (×6), 250.00218548394184 (×6), 250.00074721488596 (×6), 250.00023550841792 (×6), 250.00157429431061 (×6), 250.0001383628698 (×6), 250.00057674056998 (×6), 250.0009258749471 (×6), 250.00077165770458 (×6), 250.00231645353733 (×6), 250.0006891205781 (×6), 250.00080547975216 (×6), 250.0004249680335 (×6), 250.00278212432153 (×6), 250.00195992551573 (×6), 250.0008785240374 (×5), 250.00310227399197 (×5), 250.00043923578096 (×5), 250.00045378774817 (×5), 250.00042468381545 (×5), 250.00072163519718 (×5), 250.00041013185162 (×5), 249.99993719394965 (×4), 250.00224414738952 (×4), 250.0004295723662 (×3), 250.00074846544865 (×3), 249.99984988253266 (×3), 249.99994446990382 (×3), 250.0005021616826 (×3), 250.00218593869715 (×2), 250.00059930751343 (×2), 250.00041146767637 (×2) |
| **Total duration (h)** | 61.9 |
| **Size on disk** | 4.2 GB |
| **Recording type** | EEG, FNIRS |
| **Experimental modality** | Unknown |
| **Paradigm type** | Other |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |
## Links
- **DOI:** [10.18112/openneuro.ds007554.v1.0.0](https://doi.org/10.18112/openneuro.ds007554.v1.0.0)
- **OpenNeuro:** [ds007554](https://openneuro.org/datasets/ds007554)
- **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
- **Docs:** <https://eegdash.org>
- **Code:** <https://github.com/eegdash/EEGDash>
---
_Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds007554). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
|