{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a332b","dataset_id":"ds004252","associated_paper_doi":"10.31234/osf.io/wp73u","authors":["Denise Moerel","Tijl Grootswagers","Amanda K. Robinson","Patrick Engeler","Alex O. Holcombe","Thomas A. Carlson"],"bids_version":"1.6.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004252.v1.1.0","datatypes":["eeg"],"demographics":{"subjects_count":16,"ages":[25,20,21,20,21,21,21,21,23,60,26,25,19,20,31,22],"age_min":19,"age_max":60,"age_mean":24.75,"species":null,"sex_distribution":{"f":14,"m":2},"handedness_distribution":{"r":14,"l":2}},"experimental_modalities":null,"external_links":{"paper_url":"https://doi.org/10.31234/osf.io/wp73u"},"funding":[],"ingestion_fingerprint":"8c1dd07e41e93d35558ab18a144f5a4ca9aa4a5f194542e0195289edb9993045","license":"CC0","n_contributing_labs":null,"name":"Rotation-tolerant representations elucidate the time course of high-level object processing","readme":"This dataset contains electroencephalography (EEG) recordings from 16 participants viewing object images presented in eight different 2-D rotations. Stimuli were shown in rapid visual streams at two presentation rates (5 Hz and 20 Hz). EEG data are in standard bids format.\nThe pre-print can be found here: https://doi.org/10.31234/osf.io/wp73u\nThe analysis codes, results, and figures can be found on OSF: Moerel, D., Grootswagers, T., Robinson, A. K., Engeler, P., Holcombe, A. O., & Carlson, T. A. (2026, April 14). Rotation-tolerant representations elucidate the time course of high-level object processing. https://doi.org/10.17605/OSF.IO/R93ES","recording_modality":["eeg"],"senior_author":null,"sessions":[],"size_bytes":19616947463,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rsvp"],"timestamps":{"digested_at":"2026-05-31T16:14:14.343337+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":16,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004252","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-rsvp_eeg.json","task-rsvp_events.json"]},"nemar_citation_count":1,"computed_title":"Rotation-tolerant representations elucidate the time course of high-level object processing","nchans_counts":[{"val":128,"count":16}],"sfreq_counts":[{"val":1000.0,"count":16}],"stats_computed_at":"2026-05-31T19:34:32.598687+00:00","tags":{"modality":"Visual","pathology":"Healthy","type":"Perception"},"total_duration_s":38522.64,"author_year":"Moerel2022_Rotation","canonical_name":null,"bad_channels_info":null,"acknowledgements":"The authors acknowledge the University of Sydney HPC service for providing High Performance Computing resources.","references_and_links":["Moerel D., Grootswagers T., Robinson A.K., Engeler P., Holcombe A.O., Carlson T.A. (2022). Rotation-tolerant representations elucidate the time-course of high-level object processing. PsyArXiv, wp73u","Pre-print: https://doi.org/10.31234/osf.io/wp73u","OSF: https://osf.io/r93es"],"associated_paper_meta":{"channel":"text/references_and_links","confidence":"medium","author_overlap":0,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}