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Data were acquired at 1000 Hz using a 32-channel ANT Neuro system across two experimental schemes examining moving dot-formed arrows and space/object-based attention.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000131","concept_doi":"10.82901/nemar.nm000131","latest_version_doi":"10.82901/nemar.nm000131.v1.0.2","created_at":"2026-03-06 21:47:26","updated_at":"2026-08-18 18:12:48","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs\",\n  \"description\": \"A derivative SSVEP dataset comprising EEG recordings from 8 healthy subjects performing a combined brain-computer interface task with overlapping visual stimuli at a single location. Participants attended to one of four arrow directions (up, down, left, right), each flickering at distinct frequencies (14.17, 12.14, 9.44, 7.73 Hz) derived from an 85 Hz CRT refresh rate. Data were acquired at 1000 Hz using a 32-channel ANT Neuro system across two experimental schemes examining moving dot-formed arrows and space/object-based attention.\",\n  \"methods_description\": \"EEG was recorded at 1000 Hz using a 32-channel ANT Neuro eego mylab amplifier with standard_1005 montage. Each trial consisted of 500 ms fixation, 500 ms cue, and 5000 ms stimulation periods. Stimuli were overlapping SSVEP arrows presented at a single location on a CRT monitor (85 Hz refresh rate). Eight subjects participated in one session each, divided across two experimental schemes.\",\n  \"license\": \"CC BY 4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Lu Wang\": {},\n    \"Zhenhao Zhang\": {},\n    \"Dan Han\": {},\n    \"Zhijun Zhang\": {\n      \"orcid\": \"0000-0002-7194-8371\",\n      \"affiliations\": [\n        {\n          \"name\": \"Department of Psychology and Behavioral Sciences Zhejiang University Hangzhou China\"\n        }\n      ]\n    },\n    \"Zhifang Liu\": {},\n    \"Wei Liu\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"SSVEP\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"steady-state visual evoked potential\"\n    },\n    {\n      \"term\": \"covert attention\"\n    },\n    {\n      \"term\": \"visual perception\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1111/ejn.15030\",\n      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\".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"9dabd04c7871099d1a2caa4edaa98bb24feb3c0ff077202b0dde9a136d25a272\"\n}","last_activity_at":"2026-08-16 13:24:23","source":null,"source_id":null,"subject_count":8,"modalities":"eeg","age_min":null,"age_max":null,"file_size":5690301001,"total_files":207,"tasks":"ssvep","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Lu Wang, Zhenhao Zhang, Dan Han, Zhijun Zhang, Zhifang Liu, Wei Liu","license":"CC BY 4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000131-blue)](https://doi.org/10.82901/nemar.nm000131)\n\n# Combined SSVEP dataset with single stimulus location for two inputs\n\nCombined SSVEP dataset with single stimulus location for two inputs.\n\n## Dataset Overview\n\n- **Code**: Wang2021Combined\n- **Paradigm**: ssvep\n- **DOI**: 10.1111/ejn.15030\n- **Subjects**: 8\n- **Sessions per subject**: 1\n- **Events**: 14.17=1, 12.14=2, 9.44=3, 7.73=4\n- **Trial interval**: [0.0, 5.0] s\n- **File format**: CNT\n\n## Acquisition\n\n- **Sampling rate**: 1000.0 Hz\n- **Number of channels**: 31\n- **Channel types**: eeg=31, eog=2\n- **Montage**: standard_1005\n- **Hardware**: eego mylab (ANT Neuro)\n- **Line frequency**: 50.0 Hz\n\n## Participants\n\n- **Number of subjects**: 8\n- **Health status**: healthy\n\n## Experimental Protocol\n\n- **Paradigm**: ssvep\n- **Task type**: covert_attention\n- **Number of classes**: 4\n- **Class labels**: 14.17, 12.14, 9.44, 7.73\n- **Trial duration**: 5.0 s\n- **Study design**: One-to-two combined SSVEP with overlapping stimuli\n- **Feedback type**: none\n- **Stimulus type**: overlapping SSVEP arrows (CRT 85 Hz)\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Synchronicity**: synchronous\n- **Mode**: offline\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  14.17\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14_17\n\n  12.14\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_14\n\n  9.44\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9_44\n\n  7.73\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/7_73\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: ssvep\n- **Stimulus frequencies**: [14.17, 12.14, 9.44, 7.73] Hz\n\n## Data Structure\n\n- **Blocks per session**: 2\n\n## BCI Application\n\n- **Environment**: lab\n\n## Tags\n\n- **Pathology**: healthy\n- **Modality**: visual\n- **Type**: perception\n\n## Documentation\n\n- **DOI**: 10.1111/ejn.15030\n- **License**: CC BY 4.0\n- **Investigators**: Lu Wang, Zhenhao Zhang, Dan Han, Zhijun Zhang, Zhifang Liu, Wei Liu\n- **Senior author**: Zhijun Zhang\n- **Institution**: Shandong University\n- **Country**: CN\n- **Repository**: Zenodo\n- **Data URL**: https://zenodo.org/records/18873228\n- **Publication year**: 2021\n\n## References\n\nL. Wang, Z. Zhang, D. Han, Z. Zhang, Z. Liu, and W. Liu, \"Single stimulus location for two inputs: A combined brain-computer interface based on Steady-State Visual Evoked Potential (SSVEP),\" European Journal of Neuroscience, vol. 53, no. 3, pp. 861-875, 2021. DOI: 10.1111/ejn.15030\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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