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@@ -1,58 +1,58 @@
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-# Required fields
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-# The main researchers involved working on the resource,
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-# or the authors of the publication in priority order.
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-# May be a corporate/institutional or personal name.
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-# Include digital identifier (e.g., ORCID) if possible
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-authors:
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- -
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- firstname: "Francesco"
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- lastname: "Marini"
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- affiliation: "Department of Psychology, University of Nevada, Reno, NV; Swartz Center for Computational Neuroscience, University of California San Diego, La Jolla, CA"
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- id: "0000-0002-4071-4783"
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- -
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- firstname: "Katherine"
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- lastname: "Breeding"
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- affiliation: "Department of Psychology, University of Nevada, Reno, NV"
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- -
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- firstname: "Jacqueline"
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- lastname: "Snow"
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- affiliation: "Department of Psychology, University of Nevada, Reno, NV"
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-
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-# A name or title to describe the published resource.
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-title: "Dataset of 24-subject EEG recordings during viewing of real-world objects and planar images of the same items"
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-
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-# Any additional information. It is best practice to supply a description for the resource.
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-description: Collection of electroencephalographic (EEG) data recorded from 24 observers (14 females, 10 males, mean age: 25.4) while observing individually-presented stimuli comprised of 96 real-world objects, and 96 images of the same items printed in high-resolution. EEG was recorded from 128 scalp channels plus 6 external electrodes for electrooculogram and mastoids. EEG has been pre-processed, segmented in non-overlapping epochs, and independent component analysis (ICA) has been conducted to reject artifacts. Alongside this data we provide the custom-written Matlab® code that can be used to fully reproduce all analyses and figures presented in the linked research article.
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-
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-# List of keywords the resource should be associated with.
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-keywords:
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- - Neuroscience
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- - Electrophysiology
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- - EEG
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- - Psychology
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-
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-# Any rights information for this resource. Please provide both a license name and a link to the license.
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-# Please add also a LICENSE file to the repository
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-license:
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- name: "Creative Commons Attribution-ShareAlike 4.0 International"
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- url: "https://creativecommons.org/licenses/by-sa/4.0/"
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-
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-## Optional Fields
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-
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-# Any funding reference for this resource. Separate funder name and grant number by comma
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-funding:
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- - "NSF, 1632849"
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- - "NIH, R01EY026701"
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- - "NIGMS, P20 GM103650"
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-
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-# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
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-# for further valid types see https://schema.datacite.org/meta/kernel-4
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-# Please provide digital identifier (e.g., DOI) if possible.
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-references:
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- -
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- reftype: "IsSupplementTo"
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- name: "Dataset of 24-subject EEG recordings during viewing of real-world objects and planar images of the same items"
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- -
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- doi: "10.1016/j.neuroimage.2019.02.026"
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- reftype: "IsSupplementTo"
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- name: "Distinct visuo-motor brain dynamics for real-world objects versus planar images"
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+# Required fields
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+# The main researchers involved working on the resource,
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+# or the authors of the publication in priority order.
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+# May be a corporate/institutional or personal name.
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+# Include digital identifier (e.g., ORCID) if possible
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+authors:
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+ -
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+ firstname: "Francesco"
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+ lastname: "Marini"
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+ affiliation: "Department of Psychology, University of Nevada, Reno, NV; Swartz Center for Computational Neuroscience, University of California San Diego, La Jolla, CA"
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+ id: "0000-0002-4071-4783"
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+ -
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+ firstname: "Katherine"
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+ lastname: "Breeding"
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+ affiliation: "Department of Psychology, University of Nevada, Reno, NV"
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+ -
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+ firstname: "Jacqueline"
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+ lastname: "Snow"
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+ affiliation: "Department of Psychology, University of Nevada, Reno, NV"
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+
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+# A name or title to describe the published resource.
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+title: "Dataset of 24-subject EEG recordings during viewing of real-world objects and planar images of the same items"
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+
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+# Any additional information. It is best practice to supply a description for the resource.
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+description: "Collection of electroencephalographic (EEG) data recorded from 24 observers (14 females, 10 males, mean age: 25.4) while observing individually-presented stimuli comprised of 96 real-world objects, and 96 images of the same items printed in high-resolution. EEG was recorded from 128 scalp channels plus 6 external electrodes for electrooculogram and mastoids. EEG has been pre-processed, segmented in non-overlapping epochs, and independent component analysis (ICA) has been conducted to reject artifacts. Alongside this data we provide the custom-written Matlab® code that can be used to fully reproduce all analyses and figures presented in the linked research article."
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+
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+# List of keywords the resource should be associated with.
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+keywords:
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+ - Neuroscience
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+ - Electrophysiology
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+ - EEG
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+ - Psychology
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+
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+# Any rights information for this resource. Please provide both a license name and a link to the license.
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+# Please add also a LICENSE file to the repository
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+license:
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+ name: "Creative Commons Attribution-ShareAlike 4.0 International"
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+ url: "https://creativecommons.org/licenses/by-sa/4.0/"
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+
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+## Optional Fields
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+
|
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+# Any funding reference for this resource. Separate funder name and grant number by comma
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+funding:
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+ - "NSF, 1632849"
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+ - "NIH, R01EY026701"
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+ - "NIGMS, P20 GM103650"
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+
|
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+# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
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+# for further valid types see https://schema.datacite.org/meta/kernel-4
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|
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+# Please provide digital identifier (e.g., DOI) if possible.
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+references:
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+ -
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+ reftype: "IsSupplementTo"
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+ name: "Dataset of 24-subject EEG recordings during viewing of real-world objects and planar images of the same items"
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+ -
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+ doi: "10.1016/j.neuroimage.2019.02.026"
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+ reftype: "IsSupplementTo"
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+ name: "Distinct visuo-motor brain dynamics for real-world objects versus planar images"
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