{"url":"/dataset/sample-eeg-dataset-and-looking-times-data-for","name":"Sample EEG dataset and looking times data for NEAR (Newborn EEG Artifact Removal)","full_name":null,"description_markdown":"The sample EEG dataset consists of the newborn EEG data recorded for the work published as:\r\n\r\nBuiatti M. et al. \"Cortical route for facelike pattern processing in human newborns.\" Proceedings of the National Academy of Sciences 116.10 (2019): 4625-4630.\r\n\r\nPlease refer to the original article for the description of how data were collected.\r\n\r\nEEG datasets are in EEGLAB format. The reference electrode is at the vertex (Cz).\r\n\r\nEvents are coded as follows:\r\n\r\nDIN=Onset of cycle of visual presentation (upright, inverted or scrambled facelike pattern).\r\n\r\nDI50=Onset of visual attractor (a spiral dynamically converging to the center of the screen).\r\n\r\nThe Looking Times dataset consists of looking time intervals (in ms) for all the subjects.\r\n\r\nFor further details, please contact Marco Buiatti at marco.buiatti@unitn.it","description_withheld":null,"homepage":"https://osf.io/79mzg/wiki/home/","introduced_date":"2022-01-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/near-newborns-eeg-artifact-removal","title":"NEAR - Newborns EEG Artifact Removal","first_author":"Velu Prabhakar Kumaravel","url":null},"license":{"name":"OSFhttps://osf.io/79mzg/wiki/home/","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Sample EEG dataset and looking times data for NEAR (Newborn EEG Artifact Removal)"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}