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        <identifier>oai:researchdata.se:doi-10-5281-zenodo-12750436/0</identifier>
        <datestamp>2024-07-22</datestamp>
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          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.5281/zenodo.12750436</dc:identifier>
          <dc:title xml:lang="en">Green MIR data table 2024</dc:title>
          <dc:creator>https://orcid.org/0000-0002-7605-0093</dc:creator>
          <dc:creator>https://orcid.org/0000-0003-1679-6018</dc:creator>
          <dc:subject xml:lang="en">Engineering and Technology</dc:subject>
          <dc:subject xml:lang="sv">Teknik</dc:subject>
          <dc:description xml:lang="en">This dataset includes spreadsheets (in ms-excel and pdf formats) of the paper analyses presented in the 2024 ISMIR conference paper on the computational cost of music-Ai. Paper title: Green MIR? Investigating computational cost of recent music-Ai research in ISMIR</dc:description>
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          <dc:publisher xml:lang="en">Royal Institute of Technology</dc:publisher>
          <dc:publisher xml:lang="sv">Kungliga Tekniska högskolan</dc:publisher>
          <dc:date>2024-07-16T00:00:00Z</dc:date>
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