
        <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd">

                        <identifier identifierType="DOI">:none</identifier>

                        <resourceType resourceTypeGeneral="Dataset">ECoG</resourceType>

            <creators>
                                <creator>
                    <givenName>Misako</givenName>
<familyName>Komatsu</familyName>                    <nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-4464-4484</nameIdentifier>                                            <affiliation>Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science</affiliation>
                                            <affiliation>Department of Ultrastructural Research, National Center of Neurology and Psychiatry</affiliation>
                                    </creator>

            </creators>

            <titles>
                                <title xml:lang="en">Brain/MINDS Marmoset Brain ECoG Auditory Dataset 01</title>
            </titles>

            <publisher>
                                <publisher_name xml:lang="en">Connectome Analysis Unit, Integrative Computational Brain Science Collaboration Division, RIKEN Center for Brain Science</publisher_name>
                <location>JPN</location>
            </publisher>

                        <publicationYear>2021</publicationYear>
            <dates>
                <date dateType="Updated">2021-01-14</date>
            </dates>

            <contributors>
                                        <contributor contributorType="Researcher">
                            <givenName>Noritaka</givenName>
<familyName>Ichinohe</familyName>                            <nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0003-4464-4484</nameIdentifier>                                                            <affiliation>Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science</affiliation>
                                                            <affiliation>Department of Ultrastructural Research, National Center of Neurology and Psychiatry</affiliation>
                                                    </contributor>
                            </contributors>

            <version>1</version>
            <formats>
                                    <format>MAT</format>
                            </formats>

            <language>en</language>

            <sizes>
                <size>3.8 GB</size>
            </sizes>

            <rightsList>
                <rights>Creative Commons Attribution 4.0 International (CC BY 4.0)</rights>
            </rightsList>

            <descriptions>
                <description xml:lang="en" descriptionType="Abstract">We used auditory stimuli of different durations (AD) and frequencies (AF). In AD, 10 types of pure sinusoidal tones (1 ms rise/fall) with different durations (10, 25, 50, 75, 100, 125, 150, 175, 200, and 225 ms; 1000 Hz; 2000 stimuli in total) were randomly presented with an equal probability of 10%. In AF, 10 types of tones with different frequencies (700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, and 1600 Hz; 50 ms; 1000 stimuli in total) were presented with an equal probability of 10%.
&lt;br/&gt;Epidural ECoG recordings were taken in the passive listening condition while monkeys were in awake and ketamine (30 mg/kg i.m.) administrated conditions. ECoG data were sampled at 1KHz.
&lt;br/&gt;Data format information can be found on [TychoWiki](http://wiki.neurotycho.org/Auditory_Oddball_Details).</description>
            </descriptions>

                            <fundingReferences>
                                            <fundingReference>
                            <funderName>Japan Agency for Medical Research and Development (AMED)</funderName>
                            <funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/100009619</funderIdentifier>
                        </fundingReference>
                                    </fundingReferences>
            
        </resource>
