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Dataset Open Access

tvb-data - Extended Dataset

TVB Team

MARC21 XML Export

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  <datafield tag="999" ind1="C" ind2="5">
    <subfield code="x">Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide, Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013) The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)</subfield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">tvb virtual brain human monkey</subfield>
  <controlfield tag="005">20201109083029.0</controlfield>
  <controlfield tag="001">3474071</controlfield>
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    <subfield code="s">331429098</subfield>
    <subfield code="z">md5:d77ce6058e9bd7b11c761b60c7a8afb2</subfield>
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    <subfield code="s">331423951</subfield>
    <subfield code="z">md5:ca090549d36b523b0f53d3453b62a9af</subfield>
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    <subfield code="l">open</subfield>
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    <subfield code="c">2019-10-06</subfield>
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    <subfield code="p">openaire_data</subfield>
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    <subfield code="u">TVB Foundation</subfield>
    <subfield code="a">TVB Team</subfield>
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    <subfield code="a">tvb-data - Extended Dataset</subfield>
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    <subfield code="a">GNU General Public License v3.0 only</subfield>
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    <subfield code="a">cc-by</subfield>
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    <subfield code="a">&lt;p&gt;Various demonstration datasets for use with The Virtual Brain project are provided here.&lt;/p&gt;

&lt;p&gt;Here you will find:&lt;/p&gt;

	&lt;li&gt;compatible file/folder structures that can be uploaded through the web interface of TVB.&amp;nbsp; For this usage scenario, you should just download, and unzip the current package. Independently, download TVB_Distribution from&amp;nbsp;&amp;nbsp;&lt;a href=""&gt;;/a&gt;&amp;nbsp;and from its web GUI upload files from this unzipped folder, at need.&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;the default datasets used when working in&amp;nbsp;&lt;code&gt;console&lt;/code&gt;&amp;nbsp;or library mode. For this usage scenario, you should download, unzip, and install in your python distribution this tvb-data as a regular python package.&lt;/li&gt;

&lt;p&gt;More information on TVB documentation site:&amp;nbsp;&lt;a href=""&gt;;/a&gt;&amp;nbsp;or on the main webpage of the project&amp;nbsp;&lt;a href=""&gt;;/a&gt;&lt;/p&gt;</subfield>
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    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3417206</subfield>
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    <subfield code="a">10.5281/zenodo.3474071</subfield>
    <subfield code="2">doi</subfield>
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    <subfield code="a">dataset</subfield>
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