{"dataset":{"id":"254","dataset_id":"nm000221","name":"Alphawaves dataset","description":"The Alphawaves dataset comprises resting-state EEG recordings from 19 healthy participants acquired using a 16-channel g.tec g.USBamp system at 512 Hz sampling rate. Participants alternated between eyes-closed and eyes-open conditions in 10-second trials, with event-related synchronization analysis focused on alpha frequency band activity (8-12 Hz). This dataset serves as a benchmark resource for brain-computer interface research and resting-state EEG analysis.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000221","concept_doi":"10.82901/nemar.nm000221","latest_version_doi":"10.82901/nemar.nm000221.v1.0.3","created_at":"2026-03-24 08:46:16","updated_at":"2026-08-18 21:17:06","zenodo_concept_id":"20519139","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Alphawaves dataset\",\n  \"description\": \"The Alphawaves dataset comprises resting-state EEG recordings from 19 healthy participants acquired using a 16-channel g.tec g.USBamp system at 512 Hz sampling rate. Participants alternated between eyes-closed and eyes-open conditions in 10-second trials, with event-related synchronization analysis focused on alpha frequency band activity (8-12 Hz). This dataset serves as a benchmark resource for brain-computer interface research and resting-state EEG analysis.\",\n  \"methods_description\": \"EEG data were acquired from 19 healthy subjects using a 16-channel g.tec g.USBamp amplifier with wet electrodes in a standard 10-10 montage, sampled at 512 Hz with right earlobe reference. Subjects performed alternating eyes-closed and eyes-open resting-state conditions, each lasting 10 seconds. Data were recorded using OpenViBE software with 50 Hz line frequency and no online digital filtering applied.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Grégoire Cattan\": {\n      \"orcid\": \"0000-0002-7515-0690\",\n      \"affiliations\": [\n        {\n          \"name\": \"GIPSA-lab\"\n        }\n      ]\n    },\n    \"Pedro Luiz Coelho Rodrigues\": {},\n    \"Marco Congedo\": {\n      \"orcid\": \"0000-0003-2196-0409\",\n      \"affiliations\": [\n        {\n          \"name\": \"GIPSA-lab\"\n        }\n      ]\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"alpha oscillations\"\n    },\n    {\n      \"term\": \"brain-computer interfaces\"\n    },\n    {\n      \"term\": \"event-related synchronization\"\n    },\n    {\n      \"term\": \"eyes-open eyes-closed\"\n    },\n    {\n      \"term\": \"Healthy\"\n    }\n  ],\n  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\"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"186.8 MB (39 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"97557071d9bd7165aa81073b615c18c6a56050a948e919ecfa7b2aae442b7be2\"\n}","last_activity_at":"2026-08-16 13:32:56","source":null,"source_id":null,"subject_count":19,"modalities":"eeg","age_min":25.8,"age_max":25.8,"file_size":186853203,"total_files":182,"tasks":"rstate","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Grégoire Cattan, Pedro Luiz Coelho Rodrigues, Marco Congedo","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000221-blue)](https://doi.org/10.82901/nemar.nm000221)\n\n# Alphawaves dataset\n\nAlphawaves dataset\n\n## Dataset Overview\n\n- **Code**: Rodrigues2017\n- **Paradigm**: rstate\n- **DOI**: https://doi.org/10.5281/zenodo.2348892\n- **Subjects**: 19\n- **Sessions per subject**: 1\n- **Events**: closed=1, open=2\n- **Trial interval**: [0, 10] s\n\n## Acquisition\n\n- **Sampling rate**: 512.0 Hz\n- **Number of channels**: 16\n- **Channel types**: eeg=16\n- **Channel names**: Cz, Fc5, Fc6, Fp1, Fp2, Fz, O1, O2, Oz, P3, P4, P7, P8, Pz, T7, T8\n- **Montage**: standard_1010\n- **Hardware**: g.tec g.USBamp\n- **Software**: OpenViBE\n- **Reference**: right earlobe\n- **Sensor type**: wet electrodes\n- **Line frequency**: 50.0 Hz\n- **Online filters**: no digital filter\n\n## Participants\n\n- **Number of subjects**: 19\n- **Health status**: healthy\n- **Age**: mean=25.8\n- **Gender distribution**: female=7, male=13\n\n## Experimental Protocol\n\n- **Paradigm**: rstate\n- **Number of classes**: 2\n- **Class labels**: closed, open\n- **Trial duration**: 10 s\n- **Study design**: Subjects alternated between keeping eyes closed (condition 1) and eyes open (condition 2) while EEG was recorded\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  closed\n    ├─ Experiment-structure\n    └─ Rest\n       └─ Close, Eye\n\n  open\n    ├─ Experiment-structure\n    └─ Rest\n       └─ Open, Eye\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: resting_state\n\n## Data Structure\n\n- **Trials**: 10\n\n## Preprocessing\n\n- **Data state**: raw\n- **Preprocessing applied**: False\n\n## Signal Processing\n\n- **Feature extraction**: ERS\n- **Frequency bands**: alpha=[8, 12] Hz\n\n## Tags\n\n- **Pathology**: Healthy\n- **Modality**: Resting State\n- **Type**: Resting-state\n\n## Documentation\n\n- **DOI**: 10.5281/zenodo.2348891\n- **Associated paper DOI**: hal-02086581\n- **License**: CC-BY-4.0\n- **Investigators**: Grégoire Cattan, Pedro Luiz Coelho Rodrigues, Marco Congedo\n- **Senior author**: Marco Congedo\n- **Contact**: pedro-luiz.coelho-rodrigues@grenoble-inp.fr\n- **Institution**: GIPSA-lab, CNRS, University Grenoble-Alpes, Grenoble INP\n- **Department**: GIPSA-lab\n- **Address**: 11 rue des Mathématiques, Grenoble Campus BP46, F-38402, France\n- **Country**: FR\n- **Repository**: Zenodo\n- **Data URL**: https://doi.org/10.5281/zenodo.2348891\n- **Publication year**: 2018\n- **Ethics approval**: All participants provided written informed consent\n- **How to acknowledge**: Please cite: Cattan, Rodrigues & Congedo (2018). EEG Alpha Waves Dataset. GIPSA-lab Research Report. https://hal.science/hal-02086581\n\n## References\n\nG. Cattan, P. L. Coelho Rodrigues, and M. Congedo, ‘EEG Alpha Waves Dataset’, 2018. Available: https://hal.archives-ouvertes.fr/hal-02086581\n\nRodrigues PLC. Alpha-Waves-Dataset [Internet]. Grenoble: GIPSA-lab; 2018. Available from: https://github.com/plcrodrigues/Alpha-Waves-Dataset\n\nNotes\n\n.. versionadded:: 1.1.0\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\n\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. 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