{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a342e","dataset_id":"ds005964","associated_paper_doi":"10.1101/2021.11.19.469225","authors":["Robert Luke","Maureen Shader","David McAlpine"],"bids_version":"1.7.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005964.v1.0.0","datatypes":["fnirs"],"demographics":{"subjects_count":17,"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://doi.org/10.1101/2021.11.19.469225"},"funding":[],"ingestion_fingerprint":"6fc06e5b9a81f07a40d5e0489e3da4b59f59244fde00b9beab1581bb06ca9cf4","license":"CC0","n_contributing_labs":null,"name":"FRESH Audio 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":["01"],"size_bytes":68812860,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["FRESHAUDIO"],"timestamps":{"digested_at":"2026-05-31T16:22:17.975913+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":17,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005964","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":["Auditory"],"type":["Perception"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.8},"reasoning":{"few_shot_analysis":"The dataset involves audio stimuli. Few-shot examples relevant to this dataset include 'Subcortical responses to music and speech are alike while cortical responses diverge,' which is labeled with 'Healthy,' 'Auditory,' and 'Perception.' Both datasets focus on auditory stimuli without explicit pathology or direct clinical purpose, guiding to 'Auditory' for modality and 'Perception' for type.","metadata_analysis":"The dataset title 'FRESH Audio Dataset' and the events listed as 'Control, Noise, Speech' suggest that the dataset involves auditory stimuli, likely centered around speech perception. The lack of any disease or clinical group in metadata points to 'Healthy' as the population.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"For Pathology: Metadata indicates no clinical population, aligning with few-shot guidance towards 'Healthy.' For Modality: Metadata listing 'Speech' aligns with few-shot suggestion for 'Auditory' stimuli. For Type: Given the nature of audio/speech stimuli and absence of specific decision-making elements or clinical focus, 'Perception' aligns with few-shot pattern.","decision_summary":"Pathology: Top-2 candidates are 'Healthy' (supported by the absence of pathology mention) vs. 'Unknown' (absence of direct confirmation). Modality: 'Auditory' is supported by direct reference to speech stimuli, while 'Unknown' lacks evidence. Type: 'Perception' fits the context of processing speech stimuli, compared to 'Unknown.' Labels are Healthy, Auditory, Perception, with relative confidence based on metadata alignment and similar few-shot examples."}},"computed_title":"FRESH Audio Dataset","nchans_counts":[{"val":66,"count":17}],"sfreq_counts":[{"val":5.208333333333333,"count":17}],"stats_computed_at":"2026-05-31T19:34:32.602105+00:00","total_duration_s":22121.088,"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":"Luke2025","bad_channels_info":null,"associated_paper_meta":{"channel":"crossref-biblio","confidence":"high","author_overlap":3,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}