Raw Data for Large-scale Dynamics of Perceptual Decision Information across Human Cortex

This dataset contains raw data for "Large-scale Dynamics of Perceptual Decision Information across Human Cortex". Eeach .tar.gz contains one MEG recording in native CTF format. Theseshould be readable by e.g. python-mne.To parse events etc. from this data, have a look at https://github.com/DonnerLab/2020_Large-scale-Dynamics-of-Perceptual-Decision-Information-across-Human-Cortex. A good start would be `conf_analysis.meg.preprocessing`.The following python dictionary maps files to recording sessions:```data_files = { "S01": [ "s01-01_Confidence_20151208_02.ds", "s01-02_Confidence_20151210_02.ds", "s01-03_Confidence_20151216_01.ds", "s01-04_Confidence_20151217_02.ds", ], "S02": [ "s02-01_Confidence_20151208_02.ds", "s02-02_Confidence_20151210_02.ds", "s02-03_Confidence_20151211_01.ds", "s02-4_Confidence_20151215_02.ds", ], "S03": [ "s03-01_Confidence_20151208_01.ds", "s03-02_Confidence_20151215_02.ds", "s03-03_Confidence_20151216_02.ds", "s03-04_Confidence_20151217_02.ds", ], "S04": [ "s04-01_Confidence_20151210_02.ds", "s04-02_Confidence_20151211_02.ds", "s04-03_Confidence_20151215_02.ds", "s04-04_Confidence_20151217_02.ds", ], "S05": [ "s05-01_Confidence_20151210_02.ds", "s05-02_Confidence_20151211_02.ds", "s05-03_Confidence_20151216_02.ds", "s05-04_Confidence_20151217_02.ds", ], "S06": [ "s06-01_Confidence_20151215_02.ds", "s06-02_Confidence_20151216_02.ds", "s06-03_Confidence_20151217_02.ds", "s06-04_Confidence_20151218_04.ds", ], "S07": [ "S07-01_Confidence_20160216_01.ds", "S07-2_Confidence_20160224_01.ds", "S07-3_Confidence_20160302_01.ds", "S07-4_Confidence_20160303_01.ds", ], "S08": [ "S08-01_Confidence_20160216_01.ds", "S08-2_Confidence_20160225_01.ds", "S08-3_Confidence_20160229_01.ds", "S08-4_Confidence_20160302_01.ds", ], "S09": [ "S09-01_Confidence_20160216_01.ds", "S09-2_Confidence_20160223_01.ds", "S09-3_Confidence_20160226_01.ds", "S09-4_Confidence_20160303_01.ds", ], "S10": [ "S10-01_Confidence_20160223_01.ds", "S10-2_Confidence_20160224_01.ds", "S10-3_Confidence_20160301_02.ds", "S10-4_Confidence_20160302_01.ds", ], "S11": [ "S11-1_Confidence_20160223_01.ds", "S11-2_Confidence_20160224_01.ds", "S11-3_Confidence_20160225_01.ds", "S11-4_Confidence_20160226_01.ds", ], "S12": [ "S12-1_Confidence_20160225_01.ds", "S12-2_Confidence_20160226_01.ds", "S12-3_Confidence_20160303_01.ds", "S12-4_Confidence_20160304_01.ds", ], "S13": [ "S13-1_Confidence_20160301_01.ds", "S13-2_Confidence_20160302_01.ds", "S13-3_Confidence_20160303_01.ds", "S13-4_Confidence_20160304_01.ds", ], "S14": [ "14-1_Confidence_20160301_01.ds", "S14-2_Confidence_20160302_01.ds", "S14-3_Confidence_20160303_01.ds", "S14-4_Confidence_20160304_01.ds", ], "S15": [ "S15-1_Confidence_20160421_01.ds", "S15-2_Confidence_20160425_01.ds", "S15-3_Confidence_20160427_01.ds", "S15-4_Confidence_20160428_01.ds", ],}```