{"dataset":{"id":"129","dataset_id":"nm000126","name":"Wang2016 – SSVEP Wang 2016 dataset","description":"A benchmark steady-state visual evoked potential (SSVEP) dataset comprising EEG recordings from 34 healthy subjects performing a 40-target brain-computer interface speller task using joint frequency and phase modulation. The dataset includes 64-channel EEG data sampled at 250 Hz with visual stimuli flickering at frequencies ranging from 8 to 15.8 Hz, designed to facilitate development and evaluation of SSVEP-based BCI algorithms.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000126","concept_doi":"10.82901/nemar.nm000126","latest_version_doi":"10.82901/nemar.nm000126.v1.0.2","created_at":"2026-03-06 21:26:47","updated_at":"2026-08-18 18:13:34","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Wang2016 – SSVEP Wang 2016 dataset\",\n  \"description\": \"A benchmark steady-state visual evoked potential (SSVEP) dataset comprising EEG recordings from 34 healthy subjects performing a 40-target brain-computer interface speller task using joint frequency and phase modulation. The dataset includes 64-channel EEG data sampled at 250 Hz with visual stimuli flickering at frequencies ranging from 8 to 15.8 Hz, designed to facilitate development and evaluation of SSVEP-based BCI algorithms.\",\n  \"methods_description\": \"EEG data were acquired using a Synamps2 system (Neuroscan, Inc.) at 1000 Hz sampling rate with 64 channels positioned according to the international 10-20 system, referenced to vertex (Cz). A notch filter at 50 Hz was applied during recording. Continuous EEG was segmented into 6-second epochs (500 ms pre-stimulus, 5.5 s post-stimulus) and downsampled to 250 Hz. Subjects performed a cue-guided target selection task with 40 visual flicker stimuli presented in a 5×8 matrix, with 6 trials per stimulus frequency.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Yijun Wang\": {},\n    \"Xiaogang Chen\": {},\n    \"Xiaorong Gao\": {},\n    \"Shangkai Gao\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"steady-state visual evoked potential\"\n    },\n    {\n      \"term\": \"Brain-Computer Interfaces\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D062207\"\n    },\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"SSVEP\"\n    },\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"BCI speller\"\n    },\n    {\n      \"term\": \"frequency modulation\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1109/TNSRE.2016.2627556\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000126\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000126\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Recruitment Program for Young Professionals\"\n    },\n    {\n      \"funder_name\": \"Young Talents Lift Project of Chinese Association of Science and Technology\"\n    },\n    {\n      \"funder_name\": \"National Natural Science Foundation of China\",\n      \"award_number\": \"61431007\"\n    },\n    {\n      \"funder_name\": \"National Natural Science Foundation of China\",\n      \"award_number\": \"91220301\"\n    },\n    {\n      \"funder_name\": \"National Natural Science Foundation of China\",\n      \"award_number\": \"91320202\"\n    },\n    {\n      \"funder_name\": \"National High-tech R&D Program (863) of China\",\n      \"award_number\": \"2012AA011601\"\n    },\n    {\n      \"funder_name\": \"PUMC Youth Fund\",\n      \"award_number\": \"3332016101\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"7.0 GB (70 files)\"\n  ],\n  \"formats\": [\n    \".html\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"eaaf33c333d710f0a0eb059785b8868e0dd361d0b2062a479a579fa569d5365d\"\n}","last_activity_at":"2026-08-16 13:24:55","source":null,"source_id":null,"subject_count":34,"modalities":"eeg","age_min":22,"age_max":22,"file_size":6953762394,"total_files":421,"tasks":"ssvep","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Yijun Wang, Xiaogang Chen, Xiaorong Gao, Shangkai Gao","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000126-blue)](https://doi.org/10.82901/nemar.nm000126)\n\n# SSVEP Wang 2016 dataset\n\nSSVEP Wang 2016 dataset.\n\n## Dataset Overview\n\n- **Code**: Wang2016\n- **Paradigm**: ssvep\n- **DOI**: 10.1109/TNSRE.2016.2627556\n- **Subjects**: 34\n- **Sessions per subject**: 1\n- **Events**: 8=1, 9=2, 10=3, 11=4, 12=5, 13=6, 14=7, 15=8, 8.2=9, 9.2=10, 10.2=11, 11.2=12, 12.2=13, 13.2=14, 14.2=15, 15.2=16, 8.4=17, 9.4=18, 10.4=19, 11.4=20, 12.4=21, 13.4=22, 14.4=23, 15.4=24, 8.6=25, 9.6=26, 10.6=27, 11.6=28, 12.6=29, 13.6=30, 14.6=31, 15.6=32, 8.8=33, 9.8=34, 10.8=35, 11.8=36, 12.8=37, 13.8=38, 14.8=39, 15.8=40\n- **Trial interval**: [0.5, 5.5] s\n- **File format**: MATLAB MAT\n- **Data preprocessed**: True\n\n## Acquisition\n\n- **Sampling rate**: 250.0 Hz\n- **Number of channels**: 64\n- **Channel types**: eeg=64\n- **Channel names**: AF3, AF4, C1, C2, C3, C4, C5, C6, CB1, CB2, CP1, CP2, CP3, CP4, CP5, CP6, CPz, Cz, F1, F2, F3, F4, F5, F6, F7, F8, FC1, FC2, FC3, FC4, FC5, FC6, FCz, FT7, FT8, Fp1, Fp2, Fpz, Fz, M1, M2, O1, O2, Oz, P1, P2, P3, P4, P5, P6, P7, P8, PO3, PO4, PO5, PO6, PO7, PO8, POz, Pz, T7, T8, TP7, TP8\n- **Montage**: standard_1005\n- **Hardware**: Synamps2 EEG system (Neuroscan, Inc.)\n- **Reference**: Cz\n- **Line frequency**: 50.0 Hz\n- **Online filters**: {'bandpass': [0.15, 200], 'notch': 50}\n- **Impedance threshold**: 10 kOhm\n\n## Participants\n\n- **Number of subjects**: 34\n- **Health status**: healthy\n- **Age**: mean=22.0, min=17, max=34\n- **Gender distribution**: female=17, male=18\n- **BCI experience**: 8 experienced, 27 naïve\n- **Species**: human\n\n## Experimental Protocol\n\n- **Paradigm**: ssvep\n- **Number of classes**: 40\n- **Class labels**: 8, 9, 10, 11, 12, 13, 14, 15, 8.2, 9.2, 10.2, 11.2, 12.2, 13.2, 14.2, 15.2, 8.4, 9.4, 10.4, 11.4, 12.4, 13.4, 14.4, 15.4, 8.6, 9.6, 10.6, 11.6, 12.6, 13.6, 14.6, 15.6, 8.8, 9.8, 10.8, 11.8, 12.8, 13.8, 14.8, 15.8\n- **Trial duration**: 6.0 s\n- **Study design**: Cue-guided target selecting task using a 40-target BCI speller with joint frequency and phase modulation (JFPM) approach\n- **Stimulus type**: visual flicker\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Synchronicity**: synchronous\n- **Mode**: offline\n- **Instructions**: Subjects were asked to shift their gaze to the target as soon as possible after cue and avoid eye blinks during the 5-s stimulation duration\n- **Stimulus presentation**: SoftwareName=MATLAB Psychophysics Toolbox Ver. 3 (PTB-3), display=23.6-in LCD monitor (Acer GD245 HQ, response time: 2 ms), resolution=1920 × 1080 pixels at 60 Hz, viewing_distance=70 cm, stimulus_size=140 × 140 pixels (3.2° × 3.2°), character_size=32 × 32 pixels (0.7° × 0.7°), matrix_size=1510 × 1037 pixels (34° × 24°), matrix_layout=5 × 8 stimulus matrix, inter_stimulus_distance=50 pixels vertical and horizontal, method=sampled sinusoidal stimulation\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/8\n\n  9\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9\n\n  10\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10\n\n  11\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11\n\n  12\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12\n\n  13\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13\n\n  14\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14\n\n  15\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/15\n\n  8.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/8_2\n\n  9.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9_2\n\n  10.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10_2\n\n  11.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11_2\n\n  12.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_2\n\n  13.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13_2\n\n  14.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14_2\n\n  15.2\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/15_2\n\n  8.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/8_4\n\n  9.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9_4\n\n  10.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10_4\n\n  11.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11_4\n\n  12.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_4\n\n  13.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13_4\n\n  14.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14_4\n\n  15.4\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/15_4\n\n  8.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/8_6\n\n  9.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9_6\n\n  10.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10_6\n\n  11.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11_6\n\n  12.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_6\n\n  13.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13_6\n\n  14.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14_6\n\n  15.6\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/15_6\n\n  8.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/8_8\n\n  9.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/9_8\n\n  10.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/10_8\n\n  11.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/11_8\n\n  12.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/12_8\n\n  13.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/13_8\n\n  14.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/14_8\n\n  15.8\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Label/15_8\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: ssvep\n- **Stimulus frequencies**: [8.0, 8.2, 8.4, 8.6, 8.8, 9.0, 9.2, 9.4, 9.6, 9.8, 10.0, 10.2, 10.4, 10.6, 10.8, 11.0, 11.2, 11.4, 11.6, 11.8, 12.0, 12.2, 12.4, 12.6, 12.8, 13.0, 13.2, 13.4, 13.6, 13.8, 14.0, 14.2, 14.4, 14.6, 14.8, 15.0, 15.2, 15.4, 15.6, 15.8] Hz\n- **Frequency resolution**: 0.2 Hz\n- **Number of targets**: 40\n- **Number of repetitions**: 6\n- **Cue duration**: 0.5 s\n\n## Data Structure\n\n- **Trials**: 240\n- **Trials per class**: per_target=6\n- **Blocks per session**: 6\n- **Trials context**: 40 trials per block corresponding to all 40 characters in random order\n\n## Preprocessing\n\n- **Data state**: Raw epochs extracted from continuous EEG recordings according to stimulus onsets, downsampled to 250 Hz, no digital filters applied\n- **Preprocessing applied**: True\n- **Steps**: Epoch extraction according to stimulus onsets from event channel, Downsampling from 1000 Hz to 250 Hz, No digital filters applied in preprocessing\n- **Downsampled to**: 250.0 Hz\n- **Epoch window**: [-0.5, 5.5]\n- **Notes**: Data epochs include 0.5 s before sti","bids_version":"1.9.0","sessions_count":1,"publish_date":"2026-05-04 12:59:16","embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-04 15:17:54","zarr_store_count":34,"zarr_index_etag":"abd44da3b6c643c3521730f98e0e271a","zarr_source_commit":"77b6862f6666bf000f26ae8e0e000c557775feb8","archive_status":"ready","archive_size":6499837455,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":0,"num_datapaper_citations":98,"n_channels":64,"electrode_system":"10-10","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":6952933497,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":421,"zarr_pool_breaks":0,"total_recording_duration":52224,"recording_duration_min":1536,"recording_duration_max":1536,"recording_count":34,"recordings_unavailable":0,"recordings_measured":34,"channel_count_min":64,"channel_count_max":64,"sampling_frequency":250,"power_line_frequency":50,"eeg_reference":"Cz","placement_scheme":"10-05 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 18:10:50\",\"metadata_updated_at\":\"2026-08-18 18:13:33\",\"archive_checked_at\":\"2026-08-18 18:24:09\",\"zarr_checked_at\":\"2026-06-07 17:58:18\",\"records_checked_at\":\"2026-08-18 18:19:21\",\"citations_updated_at\":\"2026-09-08 03:00:46\",\"channel_montage_checked_at\":\"2026-06-28 22:50:33\",\"hed_checked_at\":\"2026-06-30 04:09:50\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-19 03:00:22\",\"signal_defaults_at\":\"2026-09-02 11:36:51\",\"recording_stats_at\":\"2026-09-05 03:00:29\",\"zarr_verify_attempted_at\":\"2026-09-06 03:01:35\",\"zarr_verified_at\":\"2026-09-06 03:01:35\",\"zarr_verified_commit\":\"77b6862f6666bf000f26ae8e0e000c557775feb8\",\"zarr_verify_status\":\"verified\",\"zarr_verify_examples\":[],\"zarr_verify_sampled\":34.0,\"zarr_verify_checked\":34.0,\"zarr_verify_checked_channels\":34.0,\"zarr_verify_checked_duration\":34.0,\"zarr_verify_checked_rate\":34.0,\"zarr_verify_unchecked\":0.0,\"zarr_verify_mismatch_count\":0.0,\"zarr_verify_examples_truncated\":0.0}","participants":34,"num_citations":98,"latest_version":"v1.0.2","zarr_verify_status":"verified","zarr_verified_at":"2026-09-06 03:01:35","owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"6.48 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000126/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}