Mirror openbmi-ssvep 01-09: metadata.json

openbmi/SSVEP/.nemar/metadata.json

@@ -0,0 +1,80 @@
+{
+  "version": "2.0",
+  "pipeline_stage": "enriched",
+  "title": "OpenBMI SSVEP EEG dataset (Lee et al. 2019)",
+  "description": "A derivative dataset of SSVEP (steady-state visually evoked potential) EEG recordings processed and organized according to the BIDS standard using the moabb (Mother of All BCI Benchmarks) framework. This dataset is derived from the OpenBMI SSVEP EEG dataset (Lee et al. 2019) and provides standardized access to brain-computer interface data for benchmarking and comparative analysis of SSVEP-based decoding algorithms. The dataset contains EEG recordings from multiple subjects performing visual stimulation tasks at various frequencies.",
+  "dataset_type": "derivative",
+  "authors": {
+    "[Unspecified1]": {},
+    "[Unspecified2]": {}
+  },
+  "keywords": [
+    {
+      "term": "EEG"
+    },
+    {
+      "term": "SSVEP"
+    },
+    {
+      "term": "steady-state visually evoked potentials"
+    },
+    {
+      "term": "brain-computer interfaces"
+    },
+    {
+      "term": "BIDS"
+    },
+    {
+      "term": "moabb"
+    },
+    {
+      "term": "derivative"
+    },
+    {
+      "term": "benchmarking"
+    }
+  ],
+  "related_identifiers": [
+    {
+      "identifier": "10.5524/100542",
+      "identifier_type": "DOI",
+      "relation_type": "IsDerivedFrom"
+    },
+    {
+      "identifier": "https://github.com/nemarDatasets/nm000273",
+      "identifier_type": "URL",
+      "relation_type": "IsDescribedBy"
+    },
+    {
+      "identifier": "https://nemar.org/dataexplorer/detail?dataset_id=nm000273",
+      "identifier_type": "URL",
+      "relation_type": "IsDescribedBy"
+    },
+    {
+      "identifier": "10.21105/joss.01896",
+      "identifier_type": "DOI",
+      "relation_type": "IsDescribedBy"
+    },
+    {
+      "identifier": "10.1038/s41597-019-0104-8",
+      "identifier_type": "DOI",
+      "relation_type": "IsDescribedBy"
+    }
+  ],
+  "resource_type_general": "Dataset",
+  "resource_type_specific": "EEG Dataset",
+  "modalities": [
+    "eeg"
+  ],
+  "sizes": [
+    "18.1 GB (109 files)"
+  ],
+  "formats": [
+    ".edf",
+    ".json",
+    ".md",
+    ".tsv",
+    ".yml"
+  ],
+  "source_hash": "18732f6586b827416983bfc54dcba25f1b9fb6ba2bbef53f5c2b85a7b42f9608"
+}