{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a342d","dataset_id":"ds005963","associated_paper_doi":"10.1016/j.immuni.2024.08.004","authors":["Rickson C. Mesquita"],"bids_version":"1.7.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005963.v1.0.0","datatypes":["fnirs"],"demographics":{"subjects_count":10,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11464205/pdf/nihms-2016803.pdf"},"funding":[],"ingestion_fingerprint":"8bd01461c92ae951733ae7ebb5f2f5a0fd534e608d709ef3b48d1657849ba35b","license":"CC0","n_contributing_labs":null,"name":"FRESH Motor Dataset","readme":"References\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, 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\nIn preperation","recording_modality":["fnirs"],"senior_author":null,"sessions":["left2s","left3s","right2s","right3s"],"size_bytes":245965594,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["FRESHMOTOR"],"timestamps":{"digested_at":"2026-05-31T16:22:16.039411+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":40,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005963","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Motor"],"type":["Motor"],"confidence":{"pathology":0.8,"modality":0.7,"type":0.9},"reasoning":{"few_shot_analysis":"The few-shot example with the 'EEG Motor Movement/Imagery Dataset' is relevant here. It involves various motor tasks recorded using EEG and is labeled with 'Healthy', 'Visual', and 'Motor'. This guides the labeling as 'Motor' for type when the task involves motor activities.","metadata_analysis":"The dataset is titled 'FRESH Motor Dataset', which suggests a focus on motor activities. The events only list 'motor', supporting the idea that the dataset involves motor tasks.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"1. Pathology: The metadata does not specify any clinical condition, similar to other datasets labeled 'Healthy', alignment is consistent. 2. Modality: No specific sensory modality is outlined, but based on motor activity, 'Motor' is the appropriate label, aligning with motor tasks in few-shot examples. 3. Type: Motor tasks based on event descriptions, aligning with few-shot examples indicating a focus on 'Motor' type.","decision_summary":"Pathology: 'Healthy' is the most plausible given the absence of any specified pathology, aligned with labeling conventions. Modality: The absence of sensory tasks other than motor justifies a 'Motor' label, with no contradicting evidence. Type: 'Motor' is supported by metadata focus and few-shot precedent. Confidence scores reflect clear metadata alignment with the Motor paradigm in the absence of pathology data."}},"computed_title":"FRESH Motor Dataset","nchans_counts":[{"val":136,"count":40}],"sfreq_counts":[{"val":8.928571428571429,"count":40}],"stats_computed_at":"2026-05-31T19:34:32.602095+00:00","total_duration_s":23367.792,"canonical_name":null,"name_confidence":0.55,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Mesquita2025","bad_channels_info":null,"associated_paper_meta":{"channel":"search","confidence":"medium","author_overlap":1,"is_oa":true,"oa_status":"green","source":"paper_resolver"}}}