[WIP] Eyetrack-EEG dataset #389
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| Version 1.0 - 3 April 2023 | ||
| - Initial release |
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| This is a test dataset using HBN (Healthy Brain Network dataset subject NDARAA773LUW). | ||
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| EEG and Eye-tracking are exported. | ||
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| A column named "sync_event" contains events which are common to the two modalities. |
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| { | ||
| "Name": "eye-tracking (plus simultaneous EEG) dataset", | ||
| "ReferencesAndLinks": ["No bibliographic reference other than the DOI for this dataset"], | ||
| "BIDSVersion": "1.8.0", | ||
| "License": "CC0", | ||
| "Authors": [ | ||
| "Arnaud Delorme", | ||
| "Deepa Gupta" | ||
| ], | ||
| "HEDVersion": "8.1.0", | ||
| "GeneratedBy": { | ||
| "Name": "bids-matlab-tools", | ||
| "Version": "7.6" | ||
| } | ||
| } |
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| { | ||
| "participant_id": { | ||
| "LongName": "Participant identifier", | ||
| "Description": "Unique participant identifier" | ||
| }, | ||
| "gender": { | ||
| "Description": "Sex of the participant", | ||
| "Levels": { | ||
| "M": "male", | ||
| "F": "female" | ||
| } | ||
| }, | ||
| "age": { | ||
| "Description": "age of the participant", | ||
| "Units": "years" | ||
| } | ||
| } |
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| participant_id participantID gender age | ||
| sub-001 NDARAA773LUW M 22 |
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| name type units | ||
| E1 EEG microV | ||
| E2 EEG microV | ||
| E3 EEG microV | ||
| E4 EEG microV | ||
| E5 EEG microV | ||
| E6 EEG microV | ||
| E7 EEG microV | ||
| E8 EEG microV | ||
| E9 EEG microV | ||
| E10 EEG microV | ||
| E11 EEG microV | ||
| E12 EEG microV | ||
| E13 EEG microV | ||
| E14 EEG microV | ||
| E15 EEG microV | ||
| E16 EEG microV | ||
| E17 EEG microV | ||
| E18 EEG microV | ||
| E19 EEG microV | ||
| E20 EEG microV | ||
| E21 EEG microV | ||
| E22 EEG microV | ||
| E23 EEG microV | ||
| E24 EEG microV | ||
| E25 EEG microV | ||
| E26 EEG microV | ||
| E27 EEG microV | ||
| E28 EEG microV | ||
| E29 EEG microV | ||
| E30 EEG microV | ||
| E31 EEG microV | ||
| E32 EEG microV | ||
| E33 EEG microV | ||
| E34 EEG microV | ||
| E35 EEG microV | ||
| E36 EEG microV | ||
| E37 EEG microV | ||
| E38 EEG microV | ||
| E39 EEG microV | ||
| E40 EEG microV | ||
| E41 EEG microV | ||
| E42 EEG microV | ||
| E43 EEG microV | ||
| E44 EEG microV | ||
| E45 EEG microV | ||
| E46 EEG microV | ||
| E47 EEG microV | ||
| E48 EEG microV | ||
| E49 EEG microV | ||
| E50 EEG microV | ||
| E51 EEG microV | ||
| E52 EEG microV | ||
| E53 EEG microV | ||
| E54 EEG microV | ||
| E55 EEG microV | ||
| E56 EEG microV | ||
| E57 EEG microV | ||
| E58 EEG microV | ||
| E59 EEG microV | ||
| E60 EEG microV | ||
| E61 EEG microV | ||
| E62 EEG microV | ||
| E63 EEG microV | ||
| E64 EEG microV | ||
| E65 EEG microV | ||
| E66 EEG microV | ||
| E67 EEG microV | ||
| E68 EEG microV | ||
| E69 EEG microV | ||
| E70 EEG microV | ||
| E71 EEG microV | ||
| E72 EEG microV | ||
| E73 EEG microV | ||
| E74 EEG microV | ||
| E75 EEG microV | ||
| E76 EEG microV | ||
| E77 EEG microV | ||
| E78 EEG microV | ||
| E79 EEG microV | ||
| E80 EEG microV | ||
| E81 EEG microV | ||
| E82 EEG microV | ||
| E83 EEG microV | ||
| E84 EEG microV | ||
| E85 EEG microV | ||
| E86 EEG microV | ||
| E87 EEG microV | ||
| E88 EEG microV | ||
| E89 EEG microV | ||
| E90 EEG microV | ||
| E91 EEG microV | ||
| E92 EEG microV | ||
| E93 EEG microV | ||
| E94 EEG microV | ||
| E95 EEG microV | ||
| E96 EEG microV | ||
| E97 EEG microV | ||
| E98 EEG microV | ||
| E99 EEG microV | ||
| E100 EEG microV | ||
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| E102 EEG microV | ||
| E103 EEG microV | ||
| E104 EEG microV | ||
| E105 EEG microV | ||
| E106 EEG microV | ||
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| E114 EEG microV | ||
| E115 EEG microV | ||
| E116 EEG microV | ||
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| E118 EEG microV | ||
| E119 EEG microV | ||
| E120 EEG microV | ||
| E121 EEG microV | ||
| E122 EEG microV | ||
| E123 EEG microV | ||
| E124 EEG microV | ||
| E125 EEG microV | ||
| E126 EEG microV | ||
| E127 EEG microV | ||
| E128 EEG microV | ||
| E129 EEG microV |
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| { | ||
| "InstitutionAddress": "9500 Gilman Drive, La Jolla CA 92093, USA", | ||
| "InstitutionName": "University of California, San Diego", | ||
| "InstitutionalDepartmentName": "Institute of Neural Computation", | ||
| "PowerLineFrequency": 60, | ||
| "ManufacturersModelName": "Snapmaster", | ||
| "TaskName": "HBN-data", | ||
| "EEGReference": "common", | ||
| "RecordingType": "continuous", | ||
| "RecordingDuration": 260.772, | ||
| "SamplingFrequency": 250, | ||
| "EEGChannelCount": "", | ||
| "EOGChannelCount": 0, | ||
| "ECGChannelCount": 0, | ||
| "EMGChannelCount": 0, | ||
| "SoftwareFilters": "n/a" | ||
| } |
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| { | ||
| "TaskName": "HBNdata", | ||
| "StimulusPresentation": { | ||
| "ScreenDistance": "REQUIRED", | ||
| "ScreenResolution": "REQUIRED", | ||
| "ScreenSize": "REQUIRED" | ||
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| } | ||
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| onset duration sample value sync_event | ||
| 0 65192 0 break cnt 0 | ||
| 37.208 1 9302 93 0 | ||
| 38.752 1 9688 4 1 | ||
| 39.268 1 9817 8 1 | ||
| 42.176 1 10544 4 1 | ||
| 42.688 1 10672 8 1 | ||
| 45.596 1 11399 4 1 | ||
| 46.108 1 11527 8 1 | ||
| 49.016 1 12254 4 1 | ||
| 49.528 1 12382 8 1 | ||
| 52.436 1 13109 4 1 | ||
| 52.948 1 13237 8 1 | ||
| 55.856 1 13964 4 1 | ||
| 56.368 1 14092 8 1 | ||
| 59.276 1 14819 4 1 | ||
| 59.788 1 14947 8 1 | ||
| 62.696 1 15674 4 1 | ||
| 63.208 1 15802 8 1 | ||
| 66.116 1 16529 4 1 | ||
| 66.628 1 16657 8 1 | ||
| 69.536 1 17384 4 1 | ||
| 70.048 1 17512 8 1 | ||
| 72.956 1 18239 4 1 | ||
| 73.468 1 18367 8 1 | ||
| 76.376 1 19094 4 1 | ||
| 76.888 1 19222 8 1 | ||
| 79.796 1 19949 4 1 | ||
| 80.308 1 20077 8 1 | ||
| 83.216 1 20804 4 1 | ||
| 83.728 1 20932 8 1 | ||
| 86.636 1 21659 4 1 | ||
| 87.148 1 21787 8 1 | ||
| 90.056 1 22514 4 1 | ||
| 90.568 1 22642 8 1 | ||
| 93.476 1 23369 4 1 | ||
| 93.988 1 23497 8 1 | ||
| 96.896 1 24224 4 1 | ||
| 97.408 1 24352 8 1 | ||
| 100.316 1 25079 4 1 | ||
| 100.824 1 25206 8 1 | ||
| 103.736 1 25934 4 1 | ||
| 104.244 1 26061 8 1 | ||
| 107.156 1 26789 4 1 | ||
| 107.668 1 26917 8 1 | ||
| 110.576 1 27644 4 1 | ||
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| 113.996 1 28499 4 1 | ||
| 114.504 1 28626 8 1 | ||
| 117.416 1 29354 4 1 | ||
| 117.928 1 29482 8 1 | ||
| 120.836 1 30209 4 1 | ||
| 121.344 1 30336 8 1 | ||
| 124.256 1 31064 4 1 | ||
| 124.764 1 31191 8 1 | ||
| 127.676 1 31919 4 1 | ||
| 128.184 1 32046 8 1 | ||
| 131.096 1 32774 4 1 | ||
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| 137.936 1 34484 4 1 | ||
| 138.444 1 34611 8 1 | ||
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| 141.864 1 35466 8 1 | ||
| 144.776 1 36194 4 1 | ||
| 145.284 1 36321 8 1 | ||
| 148.196 1 37049 4 1 | ||
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| 151.616 1 37904 4 1 | ||
| 152.124 1 38031 8 1 | ||
| 155.036 1 38759 4 1 | ||
| 155.544 1 38886 8 1 | ||
| 158.456 1 39614 4 1 | ||
| 158.964 1 39741 8 1 | ||
| 161.876 1 40469 4 1 | ||
| 162.384 1 40596 8 1 | ||
| 165.296 1 41324 4 1 | ||
| 165.804 1 41451 8 1 | ||
| 168.716 1 42179 4 1 | ||
| 169.224 1 42306 8 1 | ||
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| 175.556 1 43889 4 1 | ||
| 176.064 1 44016 8 1 | ||
| 178.976 1 44744 4 1 | ||
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| 182.396 1 45599 4 1 | ||
| 182.904 1 45726 8 1 | ||
| 185.816 1 46454 4 1 | ||
| 186.324 1 46581 8 1 | ||
| 189.236 1 47309 4 1 | ||
| 189.744 1 47436 8 1 | ||
| 192.656 1 48164 4 1 | ||
| 193.164 1 48291 8 1 | ||
| 196.076 1 49019 4 1 | ||
| 196.584 1 49146 8 1 | ||
| 199.496 1 49874 4 1 | ||
| 200.004 1 50001 8 1 | ||
| 202.916 1 50729 4 1 | ||
| 203.424 1 50856 8 1 | ||
| 206.336 1 51584 4 1 | ||
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| 209.756 1 52439 4 1 | ||
| 210.264 1 52566 8 1 | ||
| 213.176 1 53294 4 1 | ||
| 213.684 1 53421 8 1 | ||
| 216.592 1 54148 4 1 | ||
| 217.104 1 54276 8 1 | ||
| 220.012 1 55003 4 1 | ||
| 220.524 1 55131 8 1 | ||
| 223.432 1 55858 4 1 | ||
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| 226.852 1 56713 4 1 | ||
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| 230.272 1 57568 4 1 | ||
| 230.784 1 57696 8 1 | ||
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| 250.792 1 62698 4 1 | ||
| 251.304 1 62826 8 1 | ||
| 254.212 1 63553 4 1 | ||
| 254.724 1 63681 8 1 | ||
| 260.768 60259 65192 break cnt 0 |
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| { | ||
| "SamplingFrequency": 150, | ||
| "SampleCoordinateUnit": "REQUIRED", | ||
| "SampleCoordinateSystem": "REQUIRED", | ||
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| "EnvironmentCoordinates": "n/a" | ||
| } | ||
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@arnodelorme not sure if the dataset will be on google drive forever
if the actual data is stored somewhere in the end, the link in the tsv will have to be updated