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datacite.yml 4.7 KB

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  1. # Metadata for DOI registration according to DataCite Metadata Schema 4.1.
  2. # For detailed schema description see https://doi.org/10.5438/0014
  3. ## Required fields
  4. # The main researchers involved. Include digital identifier (e.g., ORCID)
  5. # if possible, including the prefix to indicate its type.
  6. authors:
  7. -
  8. firstname: "Yuri G."
  9. lastname: "Pavlov"
  10. affiliation: "Ural Federal University"
  11. id: "ORCID:0000-0002-3896-5145"
  12. -
  13. firstname: "Dauren"
  14. lastname: "Kasanov"
  15. affiliation: "Ural Federal University"
  16. -
  17. firstname: "Alexandra I."
  18. lastname: "Kosachenko"
  19. affiliation: "Ural Federal University"
  20. -
  21. firstname: "Alexander I."
  22. lastname: "Kotyusov"
  23. affiliation: "Ural Federal University"
  24. # A title to describe the published resource.
  25. title: "EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest"
  26. # Additional information about the resource, e.g., a brief abstract.
  27. description: |
  28. This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized (memory) or just listened to (control condition) sequences of 5, 9, or 13 digits presented auditorily with 2 second stimulus onset asynchrony. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral physiological (electrocardiography, photoplethysmography, and pupillometry) signals during encoding and maintenance of each sequentially presented memory item in a fine time scale; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms.
  29. EEG, pupillometry, ECG and photoplethysmography, and behavioral data are stored separately in corresponding folders. Each data record can consist of four data folders:
  30. beh - behavioral data: correctness of the recall in the memory trials
  31. ecg - electrocardiography (ECG) and photoplethysmography (PPG) data
  32. eeg - EEG data
  33. pupil - pupillometry and eye-tracking data
  34. Some of the participants had some physiological data missing:
  35. sub-017, sub-094 have no pupillometry data
  36. sub-017, sub-037, sub-066 have no ECG and PPG data
  37. sub-013, sub-014, sub-015, sub-016, sub-017, sub-018, sub-019, sub-020, sub-021, sub-022, sub-023, sub-024, sub-025, sub-026, sub-027, sub-028, sub-029, sub-030, sub-031, sub-037, sub-066 have no EEG data
  38. sub-017 has only behavioral data
  39. # Lit of keywords the resource should be associated with.
  40. # Give as many keywords as possible, to make the resource findable.
  41. keywords:
  42. - EEG
  43. - ERP
  44. - eye-tracking
  45. - pupillometry
  46. # License information for this resource. Please provide the license name and/or a link to the license.
  47. # Please add also a corresponding LICENSE file to the repository.
  48. license:
  49. name: 'Creative Commons CC BY-NC 4.0'
  50. url: 'https://creativecommons.org/licenses/by-nc/4.0/'
  51. ## Optional Fields
  52. # Funding information for this resource.
  53. # Separate funder name and grant number by comma.
  54. funding:
  55. - "Russian Foundation for Basic Research (RFBR) #19-013-00027"
  56. # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
  57. # Please provide digital identifier (e.g., DOI) if possible.
  58. # Add a prefix to the ID, separated by a colon, to indicate the source.
  59. # Supported sources are: DOI, arXiv, PMID
  60. # In the citation field, please provide the full reference, including title, authors, journal etc.
  61. references:
  62. -
  63. id: "doi:10.1101/2021.10.21.465288 "
  64. reftype: "IsReferencedBy"
  65. citation: "Please cite this article for acknowledgement: Pavlov, Y. G., Kasanov, D., Kosachenko, A. I., Kotyusov, A., & Busch, N. A. (2021). Pupillometry and electroencephalography in the digit span task. bioRxiv. https://doi.org/10.1101/2021.10.21.465288"
  66. -
  67. id: "https://openneuro.org/datasets/ds003838/versions/1.0.2"
  68. reftype: "IsVariantFormOf"
  69. citation: "Another version of the dataset is posted on Openneuro: EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest"
  70. # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
  71. resourcetype: Dataset
  72. # Do not edit or remove the following line
  73. templateversion: 1.2