Datasets:

bruAristimunha commited on
Commit
7ec38ec
·
verified ·
1 Parent(s): b494486

Metadata stub for ds000247

Browse files
Files changed (2) hide show
  1. README.md +86 -0
  2. eegdash.json +17 -0
README.md ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: "MEG-BIDS OMEGA RestingState_sample"
3
+ license: cc0-1.0
4
+ tags:
5
+ - meg
6
+ - neuroscience
7
+ - eegdash
8
+ - brain-computer-interface
9
+ - pytorch
10
+ - resting-state
11
+ size_categories:
12
+ - n<1K
13
+ task_categories:
14
+ - other
15
+ ---
16
+
17
+ # MEG-BIDS OMEGA RestingState_sample
18
+
19
+ **Dataset ID:** `ds000247`
20
+
21
+ _Niso2018_
22
+
23
+ **Canonical aliases:** `OMEGA`
24
+
25
+ > **At a glance:** MEG · Resting State resting-state · healthy · 6 subjects · 10 recordings · CC0
26
+
27
+ ## Load this dataset
28
+
29
+ This repo is a **pointer**. The raw EEG data lives at its canonical source
30
+ (OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it
31
+ on demand and returns a PyTorch / braindecode dataset.
32
+
33
+ ```python
34
+ # pip install eegdash
35
+ from eegdash import EEGDashDataset
36
+
37
+ ds = EEGDashDataset(dataset="ds000247", cache_dir="./cache")
38
+ print(len(ds), "recordings")
39
+ ```
40
+
41
+ You can also load it by canonical alias — these are registered classes in `eegdash.dataset`:
42
+
43
+ ```python
44
+ from eegdash.dataset import OMEGA
45
+ ds = OMEGA(cache_dir="./cache")
46
+ ```
47
+
48
+ If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout,
49
+ you can also pull it directly:
50
+
51
+ ```python
52
+ from braindecode.datasets import BaseConcatDataset
53
+ ds = BaseConcatDataset.pull_from_hub("EEGDash/ds000247")
54
+ ```
55
+
56
+
57
+ ## Dataset metadata
58
+
59
+ | | |
60
+ |---|---|
61
+ | **Subjects** | 6 |
62
+ | **Recordings** | 10 |
63
+ | **Tasks (count)** | 2 |
64
+ | **Channels** | 297 (×5), 330 (×3), 300 (×2) |
65
+ | **Sampling rate (Hz)** | 2400 (×10) |
66
+ | **Total duration (h)** | 1.0 |
67
+ | **Size on disk** | 10.3 GB |
68
+ | **Recording type** | MEG |
69
+ | **Experimental modality** | Resting State |
70
+ | **Paradigm type** | Resting-state |
71
+ | **Population** | Healthy |
72
+ | **Source** | openneuro |
73
+ | **License** | CC0 |
74
+ | **NEMAR citations** | 3.0 |
75
+
76
+ ## Links
77
+
78
+ - **DOI:** [10.18112/openneuro.ds000247.v1.0.2](https://doi.org/10.18112/openneuro.ds000247.v1.0.2)
79
+ - **OpenNeuro:** [ds000247](https://openneuro.org/datasets/ds000247)
80
+ - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
81
+ - **Docs:** <https://eegdash.org>
82
+ - **Code:** <https://github.com/eegdash/EEGDash>
83
+
84
+ ---
85
+
86
+ _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/ds000247). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
eegdash.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset_id": "ds000247",
3
+ "title": "MEG-BIDS OMEGA RestingState_sample",
4
+ "source": "openneuro",
5
+ "source_url": "https://openneuro.org/datasets/ds000247",
6
+ "doi": "10.18112/openneuro.ds000247.v1.0.2",
7
+ "license": "CC0",
8
+ "loader": {
9
+ "library": "eegdash",
10
+ "class": "EEGDashDataset",
11
+ "kwargs": {
12
+ "dataset": "ds000247"
13
+ }
14
+ },
15
+ "catalog": "https://huggingface.co/spaces/EEGDash/catalog",
16
+ "generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
17
+ }