Datasets:

bruAristimunha commited on
Commit
48bc242
·
verified ·
1 Parent(s): b63f939

Metadata stub for nm000303

Browse files
Files changed (2) hide show
  1. README.md +78 -0
  2. eegdash.json +17 -0
README.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: "Mainsah2025-O"
3
+ license: cc-by-4.0
4
+ tags:
5
+ - eeg
6
+ - neuroscience
7
+ - eegdash
8
+ - brain-computer-interface
9
+ - pytorch
10
+ - visual
11
+ - perception
12
+ - other
13
+ size_categories:
14
+ - n<1K
15
+ task_categories:
16
+ - other
17
+ ---
18
+
19
+ # Mainsah2025-O
20
+
21
+ **Dataset ID:** `nm000303`
22
+
23
+ _Mainsah2025_O_
24
+
25
+ > **At a glance:** EEG · Visual perception · other · 18 subjects · 347 recordings · CC-BY-4.0
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="nm000303", cache_dir="./cache")
38
+ print(len(ds), "recordings")
39
+ ```
40
+
41
+ If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout,
42
+ you can also pull it directly:
43
+
44
+ ```python
45
+ from braindecode.datasets import BaseConcatDataset
46
+ ds = BaseConcatDataset.pull_from_hub("EEGDash/nm000303")
47
+ ```
48
+
49
+
50
+ ## Dataset metadata
51
+
52
+ | | |
53
+ |---|---|
54
+ | **Subjects** | 18 |
55
+ | **Recordings** | 347 |
56
+ | **Tasks (count)** | 1 |
57
+ | **Channels** | 32 (×347) |
58
+ | **Sampling rate (Hz)** | 256.0000930697907 (×162), 256 (×101), 256.00008203487505 (×40), 256.0001098418278 (×12), 256.00012071918457 (×12), 256.00010076264726 (×7), 256.0001184842897 (×4), 256.00009694678226 (×3), 256.00010663894057 (×3), 256.00008886963377 (×2), 256.00010131094785 (×1) |
59
+ | **Total duration (h)** | 11.5 |
60
+ | **Size on disk** | 992.2 MB |
61
+ | **Recording type** | EEG |
62
+ | **Experimental modality** | Visual |
63
+ | **Paradigm type** | Perception |
64
+ | **Population** | Other |
65
+ | **Source** | nemar |
66
+ | **License** | CC-BY-4.0 |
67
+
68
+ ## Links
69
+
70
+ - **DOI:** [10.13026/0byy-ry86](https://doi.org/10.13026/0byy-ry86)
71
+ - **NEMAR:** [nm000303](https://nemar.org/dataexplorer/detail?dataset_id=nm000303)
72
+ - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
73
+ - **Docs:** <https://eegdash.org>
74
+ - **Code:** <https://github.com/eegdash/EEGDash>
75
+
76
+ ---
77
+
78
+ _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/nm000303). 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": "nm000303",
3
+ "title": "Mainsah2025-O",
4
+ "source": "nemar",
5
+ "source_url": "https://openneuro.org/datasets/nm000303",
6
+ "doi": "10.13026/0byy-ry86",
7
+ "license": "CC-BY-4.0",
8
+ "loader": {
9
+ "library": "eegdash",
10
+ "class": "EEGDashDataset",
11
+ "kwargs": {
12
+ "dataset": "nm000303"
13
+ }
14
+ },
15
+ "catalog": "https://huggingface.co/spaces/EEGDash/catalog",
16
+ "generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
17
+ }