{"schema_version":"0.3.0","doc_type":"dataset","dataset_id":"nm000133","name":"Alljoined1","description":"Alljoined1 is a 64-channel EEG dataset comprising neural responses from eight healthy adults (6 male, 2 female; mean age 22 ± 0.64 years) viewing 10,000 natural images each during rapid serial visual presentation (RSVP) with an oddball detection task. The dataset contains approximately 46,080 epochs across 13 sessions, with stimuli drawn from the Natural Scenes Dataset and MS-COCO. Raw data are preserved in 24-bit BioSemi Data Format, and preprocessed epoched derivatives are provided in MNE-Python format, enabling research in EEG-to-image decoding and visual neuroscience.","source":"nemar","recording_modality":["EEG"],"bids_version":null,"license":"CC-BY-NC-ND-4.0","authors":[{"name":"Jonathan Xu","name_type":"Personal"},{"name":"Si Kai Lee","name_type":"Personal"},{"name":"Wangshu Jiang","name_type":"Personal"}],"keywords":[{"term":"EEG"},{"term":"visual perception"},{"term":"image decoding"},{"term":"rapid serial visual presentation"},{"term":"natural scenes"},{"term":"Natural Scenes Dataset"},{"term":"MS-COCO"},{"term":"brain-computer interfaces"},{"term":"oddball detection"},{"term":"BioSemi"},{"term":"artifact rejection"},{"term":"independent component analysis"},{"term":"preprocessing"},{"term":"visual neuroscience"},{"term":"neural decoding"}],"related_identifiers":[{"identifier":"10.48550/arXiv.2404.05553","identifier_type":"DOI","relation_type":"References"},{"identifier":"https://github.com/nemarDatasets/nm000133","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"https://nemar.org/dataexplorer/detail?dataset_id=nm000133","identifier_type":"URL","relation_type":"IsDescribedBy"},{"identifier":"10.82901/nemar.nm000133","identifier_type":"DOI","relation_type":"IsVersionOf"}],"contributors":[],"dates":[],"rights":[{"rights":"CC-BY-NC-ND-4.0","rights_uri":null,"rights_identifier":"CC-BY-NC-ND-4.0","rights_identifier_scheme":"SPDX"}],"language":null,"funding":[],"tasks":["images"],"datatypes":["eeg"],"sessions":["01","02"],"sessions_count":2,"demographics":{"subjects_count":8,"age_min":null,"age_max":null},"data_summary":{"total_files":1076,"size_bytes":8319291771,"size_human":"7.75 GB"},"provenance":{"latest_snapshot":"v1.0.2","publish_date":"2026-05-18 18:38:24"},"external_links":{"dataset_doi":"10.82901/nemar.nm000133","github_url":"https://github.com/nemarDatasets/nm000133"},"extensions":{"nemar":{"versions":[{"version":"v1.0.2","doi":"10.82901/nemar.nm000133.v1.0.2","created_at":"2026-05-18 18:38:24","manifest_url":"/nm000133/v1.0.2/manifest.json"},{"version":"v1.0.0","doi":"10.82901/nemar.nm000133.v1.0.0","created_at":"2026-03-18 04:07:51","manifest_url":"/nm000133/v1.0.0/manifest.json"}],"bids_index":{"version":"v1.0.2","subjects":{"sub-01":{"sessions":["01","02"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-02":{"sessions":["01"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-03":{"sessions":["01","02"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-04":{"sessions":["01","02"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-05":{"sessions":["01","02"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-06":{"sessions":["01","02"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-07":{"sessions":["01"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}},"sub-08":{"sessions":["01"],"modalities":{"eeg":{"tasks":{"images":{"runs":[]}}}}}}},"pipeline_stage":"enriched","data_complete":null,"bytes_present":null}}}