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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2020.5.MAAP-107</article-id>
      <article-id pub-id-type="sici">2470-1173(20200126)2020:5L.1071;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2020n5_input/s8.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2020/00002020/00000005/art00007</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A Multispectral Dataset of Oil and Watercolor Paints</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Shahmirzadi</surname>
            <given-names>Azadeh Asadi</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Babaei</surname>
            <given-names>Vahid</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Seidel</surname>
            <given-names>Hans-Peter</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>26</day>
        <month>01</month>
        <year>2020</year>
      </pub-date>
      <volume>2020</volume>
      <issue>5</issue>
      <fpage>107-1</fpage>
      <lpage>107-4</lpage>
      <permissions>
        <copyright-year>2020</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>We publish two carefully prepared and spectrally measured datasets of paint swatches. The main advantage of these datasets is that a diverse set of paint mixtures are manually prepared the way an artist may create them. The ratio of paints in each mixture is also published. The first
 set has 286 swatches made from 8 tubes of Old Holland oil paints in different combinations. The second set has 397 swatches made from 9 tubes of Schmincke watercolor paints. We provide exact details about the preparation of our swatches. We analyze the colorimetric and spectral properties
 of the two datasets in order to show the spread of the colorimetric gamut and the intrinsic, spectral dimensionality of the datasets. The dataset will be available on http://cam.mpi-inf.mpg.de/ and http://www.azadehasadi.com/.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>multispectral</kwd>
        <kwd>dataset</kwd>
        <kwd>paint</kwd>
        <kwd>watercolor</kwd>
        <kwd>oil</kwd>
        <kwd>fine art</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
