{"dataset":{"id":"59731","dataset_id":"on004995","name":"The Time-Course of Food Representation in the Human Brain","description":"This dataset comprises raw EEG recordings collected to investigate the time-course of food representation in the human brain. Participants viewed food-related stimuli while EEG was recorded, enabling analysis of temporal neural dynamics underlying food perception and categorization. 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The dataset supports research on visual object and food representation using time-resolved decoding approaches.\",\n  \"methods_description\": \"EEG data were collected and organized according to the Brain Imaging Data Structure (BIDS) standard. Analysis code and associated figures are available through the Open Science Framework.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Denise Moerel\": {\n      \"orcid\": \"0000-0001-9677-0170\"\n    },\n    \"James Psihoyos\": {},\n    \"Thomas A. Carlson\": {\n      \"orcid\": \"0000-0002-3953-4195\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"food perception\"\n    },\n    {\n      \"term\": \"Visual Perception\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D014796\"\n    },\n    {\n      \"term\": \"time-course decoding\"\n    },\n    {\n      \"term\": \"human brain\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.17605/OSF.IO/PWC4K\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1101/2023.06.06.543985\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsSupplementTo\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004995\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/sdata.2018.110\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004995.v1.0.2\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on004995\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"ARC\",\n      \"award_number\": \"DP160101300\"\n    },\n    {\n      \"funder_name\": \"ARC\",\n      \"award_number\": \"DP200101787\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"29.6 GB (77 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"a58d5ed0ce51115cb45086e169bc9460e0214cefaa06f27f7208fcd661fb0231\"\n}","last_activity_at":"2026-06-26 02:31:42","source":"openneuro","source_id":"ds004995","subject_count":20,"modalities":"eeg","age_min":null,"age_max":null,"file_size":29637646237,"total_files":87,"tasks":"food","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Denise Moerel, James Psihoyos, Thomas A. Carlson","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004995-blue)](https://doi.org/10.82901/nemar.on004995)\n\nThe main folder contains the raw EEG data in standard bids format. See references.\n\nCode and figures: https://doi.org/10.17605/OSF.IO/PWC4K\nManuscript: https://doi.org/10.1101/2023.06.06.543985\n\nReferences:\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\n\nNiso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. 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