{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3322","dataset_id":"ds004148","associated_paper_doi":null,"authors":["Yulin Wang","Wei Duan","Lihong Ding","Debo Dong","Xu Lei"],"bids_version":"1.2","contact_info":["Yulin Wang"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds004148.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":60,"ages":[19,19,19,20,19,21,20,19,21,21,20,21,19,19,22,25,20,19,19,19,22,22,19,19,18,20,19,20,20,20,18,20,19,22,21,21,19,21,20,19,20,19,20,19,22,21,18,19,20,21,20,18,20,18,18,18,18,18,28,26],"age_min":18,"age_max":28,"age_mean":20.016666666666666,"species":null,"sex_distribution":{"m":28,"f":32},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds004148","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"d3ddbf5877bd6076fdf7ffad0fd3493d5c3583024767a776414708a29f1b949f","license":"CC0","n_contributing_labs":null,"name":"A test-retest resting and cognitive state EEG dataset","readme":"#  General information\nThis dataset contains resting(eyes closed, eyes open) and cognitive(subtraction, music, memory) state EEG recordings with 60 participants\nduring three experimental sessions together with sleep, emotion, mental health, and mind-wandering related measures\n#    Dataset\n##   Presentation\n     The data collection was initiated in September 2019 and was terminated in April 2021. The detailed description of the dataset is currently under working\n     by Yulin Wang, and will submit to Scientific Data for publication.\n#### EEG acquisition\n     * EEG system (Brain Products GmbH, Steing- rabenstr, Germany, 64 electrodes)\n     * Sampling frequency: 500Hz\n     * Impedances were kept below 5k\n## Contact\n     * If you have any questions or comments, please contact:\n     * Xu Lei: xlei@swu.edu.cn\n     * Yulin Wang: yulin.wang90.swu@gmail.com","recording_modality":["eeg"],"senior_author":"Xu Lei","sessions":["session1","session2","session3"],"size_bytes":32936811897,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["eyesclosed","eyesopen","mathematic","memory","music"],"timestamps":{"digested_at":"2026-04-22T12:26:10.711961+00:00","dataset_created_at":"2022-06-08T08:39:15.433Z","dataset_modified_at":"2022-06-13T08:42:17.000Z"},"total_files":900,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004148","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"30d9104f20e0d837","model":"openai/gpt-5.2","tagged_at":"2026-01-20T10:32:55.312608+00:00"},"tags":{"pathology":["Healthy"],"modality":["Other"],"type":["Other"],"confidence":{"pathology":0.6,"modality":0.6,"type":0.6},"reasoning":{"few_shot_analysis":"Most similar few-shot example by paradigm is the “A Resting-state EEG Dataset for Sleep Deprivation” example, which maps an eyes-open/eyes-closed resting EEG collection in non-clinical participants to Pathology=Healthy, Modality=Resting State, Type=Resting-state. The current dataset also explicitly includes resting EEG (eyes closed, eyes open), but additionally includes several cognitive states (subtraction, music, memory), which weakens a pure Resting-state Type/Modality assignment and suggests a broader/mixed-purpose label may be more appropriate (Type=Other; Modality=Other).","metadata_analysis":"Key provided metadata is only the README. Relevant quotes: (1) \"This dataset contains resting(eyes closed, eyes open) and cognitive(subtraction, music, memory) state EEG recordings\". (2) \"with 60 participants during three experimental sessions together with sleep, emotion, mental health, and mind-wandering related measures\". (3) Acquisition context: \"EEG system ... 64 electrodes\" and \"Sampling frequency: 500Hz\". No explicit diagnosis/clinical recruitment criteria are stated.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says participants are \"60 participants\" with no mention of any disorder/diagnosis; few-shot convention for non-clinical EEG collections is to label as Healthy (ALIGN).\nModality: Metadata says dataset includes both \"resting(eyes closed, eyes open)\" (no external stimulus) and cognitive tasks including \"music\" (auditory stimulus likely) and other tasks (subtraction/memory) with unspecified stimulus channel; few-shot pattern for pure eyes-open/closed is Resting State, but the added cognitive tasks make a single-channel modality ambiguous (CONFLICT/partial mismatch; choose broader Modality=Other).\nType: Metadata says both resting and multiple cognitive states plus questionnaires/measures (\"sleep, emotion, mental health, and mind-wandering related measures\"); few-shot pattern for pure resting is Type=Resting-state, but here the study purpose spans multiple constructs/tasks (CONFLICT/partial mismatch; choose Type=Other).","decision_summary":"Pathology top-2: (A) Healthy — supported by lack of any clinical recruitment/diagnosis language (\"60 participants\") and similarity to the resting-state healthy few-shot; (B) Unknown — possible because health status is not explicitly stated. Winner: Healthy. Confidence based on absence of any pathology mentions but no explicit “healthy” statement.\nModality top-2: (A) Other — supported by mixed conditions: \"resting(eyes closed, eyes open) and cognitive(subtraction, music, memory)\"; (B) Resting State — supported by explicit resting recordings. Winner: Other because stimulus/input channel is not consistently resting and includes at least music (auditory) plus other tasks.\nType top-2: (A) Other — supported by multi-domain intent and measures: \"resting ... and cognitive ...\" and \"sleep, emotion, mental health, and mind-wandering related measures\"; (B) Resting-state — plausible due to explicit resting EEG component. Winner: Other because the dataset is not focused on a single construct (pure resting) but a set of cognitive states and self-report measures."}},"nemar_citation_count":12,"computed_title":"A test-retest resting and cognitive state EEG dataset","nchans_counts":[{"val":61,"count":900}],"sfreq_counts":[{"val":500.0,"count":900}],"stats_computed_at":"2026-04-22T23:16:00.307136+00:00","total_duration_s":270000.0,"author_year":"Wang2022_test_retest_resting","canonical_name":null}}