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        <identifier>oai:researchdata.se:doi-10-7910-dvn-hpydkw/0</identifier>
        <datestamp>2023-01-01</datestamp>
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          <dc:identifier>https://doi.org/10.7910/DVN/HPYDKW</dc:identifier>
          <dc:title xml:lang="en">Going beyond carbon: An "Earth System Impact" score to better capture corporate and investment impacts on the Earth system</dc:title>
          <dc:creator>https://orcid.org/0000-0003-1617-4067</dc:creator>
          <dc:creator>https://orcid.org/0009-0005-6067-8061</dc:creator>
          <dc:creator>https://orcid.org/0000-0001-9719-9826</dc:creator>
          <dc:creator>https://orcid.org/0000-0001-7335-5679</dc:creator>
          <dc:creator>https://orcid.org/0000-0002-7385-4723</dc:creator>
          <dc:contributor>Parlato, Giorgio</dc:contributor>
          <dc:subject xml:lang="en">Earth and Related Environmental Sciences</dc:subject>
          <dc:subject xml:lang="sv">Geovetenskap och relaterad miljövetenskap</dc:subject>
          <dc:description xml:lang="en">This dataset is associated with a paper that uses the mining sector as a case to illustrate how the Earth System Impact (ESI) score could be used to assess impacts of economic sectors, and how this, in turn, could i) represent a scientific basis for improving prioritization of mitigative action within companies, ii) provide support for decisions on where to direct public and private investments. This dataset includes data on environmental pressures, location, revenues, and primary commodity production for assets from a sample of 10 mining companies and showcases how the ESI score could be calculated and interpreted.

This dataset is associated with a paper that uses the mining sector as a case to illustrate how the Earth System Impact (ESI) score could be used to assess impacts of economic sectors, and how this, in turn, could i) represent a scientific basis for improving prioritization of mitigative action within companies, ii) provide support for decisions on where to direct public and private investments. This dataset includes data on environmental pressures, location, revenues, and primary commodity production for assets from a sample of 10 mining companies and showcases how the ESI score could be calculated and interpreted.

Microsoft® Excel® for Microsoft 365 MSO, Version 2304 Build 16.0.16327.20200</dc:description>
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          <dc:publisher xml:lang="en">Stockholm University</dc:publisher>
          <dc:publisher xml:lang="sv">Stockholms universitet</dc:publisher>
          <dc:date>2023-01-01T00:00:00Z</dc:date>
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