{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a332b","dataset_id":"ds004252","associated_paper_doi":null,"authors":["Denise Moerel","Tijl Grootswagers","Amanda K. Robinson","Patrick Engeler","Alex O. Holcombe","Thomas A. Carlson"],"bids_version":"1.6.0","contact_info":["Denise Moerel"],"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":{"source_url":"https://openneuro.org/datasets/ds004252","osf_url":null,"github_url":null,"paper_url":null},"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":"Thomas A. Carlson","sessions":[],"size_bytes":19616886167,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rsvp"],"timestamps":{"digested_at":"2026-04-22T12:26:19.291368+00:00","dataset_created_at":"2022-08-16T15:48:03.883Z","dataset_modified_at":"2026-04-15T04:49:50.000Z"},"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":"2026-04-22T23:16:00.307246+00:00","tags":{"modality":"Visual","pathology":"Healthy","type":"Perception"},"total_duration_s":null,"author_year":"Moerel2022_Rotation","canonical_name":null}}