March 28, 2021 Dataset Open Access

Newton, Taylor; Reimann, Michael; Abdellah, Marwan; Chevtchenko, Grigori; Muller, Eilif B.; Markram, Henry

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">in silico modeling, voltage-sensitive dyes, mesoscale imaging, spatiotemporal dynamics, 22 spatial resolution</subfield>
  </datafield>
  <controlfield tag="005">20210503081155.0</controlfield>
  <controlfield tag="001">4707714</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Blue Brain Project</subfield>
    <subfield code="a">Reimann, Michael</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Blue Brain Project</subfield>
    <subfield code="a">Abdellah, Marwan</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Blue Brain Project</subfield>
    <subfield code="a">Chevtchenko, Grigori</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Mila - Quebec AI Institute</subfield>
    <subfield code="a">Muller, Eilif B.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Blue Brain Project</subfield>
    <subfield code="a">Markram, Henry</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">14664102376</subfield>
    <subfield code="z">md5:2ff20fb852f117caf7da5a5ae0a43ce1</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/data.zip</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1384240</subfield>
    <subfield code="z">md5:a8b36492f6b1bdd047bc18552c93d003</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/figures.zip</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">4226</subfield>
    <subfield code="z">md5:dadd67a3bb869391c116edb272acbf11</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/README.rtf</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1625</subfield>
    <subfield code="z">md5:4d8df4f91a29571e49a30b8cf84379d7</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/requirements.txt</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">653923</subfield>
    <subfield code="z">md5:7a5c43fa1a717b672d6f0541405fde73</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/scripts.zip</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">99133191</subfield>
    <subfield code="z">md5:e0093870c00aa110f641f779c264e343</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/tabular_data.zip</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">6096</subfield>
    <subfield code="z">md5:1f81d4d4690d2c9b590e829b3827e7b0</subfield>
    <subfield code="u">https://zenodo.org/record/4707714/files/utils.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2021-03-28</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="p">user-bluebrain</subfield>
    <subfield code="o">oai:zenodo.org:4707714</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="p">Nature Communications</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Foundation for Research on Information Technologies in Society (IT'IS)</subfield>
    <subfield code="0">(orcid)0000-0001-8429-8702</subfield>
    <subfield code="a">Newton, Taylor</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations: figure data</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-bluebrain</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Tabular data corresponding to figures 2 through 5 (and supplementary figures 1 through 6) in the 2021 Nature Communcations publication entitled &amp;quot;In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations&amp;quot;. Tabular data are provided for each figure in the form of excel spreadsheets, with&amp;nbsp;individual&amp;nbsp;data sheets for each figure sub-panel, where&amp;nbsp;all axis and units are described in the row and column headings. Additionally, the ipython notebooks used to generate the figure data are provided (figure*.ipynb), together with the necessary raw data files (data.zip), supporting libraries (utils.zip), output folder (figures.zip), and requirements (requirements.txt). See README.rtf for detailed information and usage instructions.&amp;nbsp;&amp;nbsp;&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.4642360</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.4707714</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>