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        <identifier>oai:figshare.com:article/33869161</identifier>
        <datestamp>2026-09-22T04:48:07Z</datestamp>
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          <dc:title>GCL (datasets)</dc:title>
          <dc:creator>SF Yu (22500848)</dc:creator>
          <dc:subject>Computational modelling and simulation in earth sciences</dc:subject>
          <dc:subject>Spatial statistics analysis</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;GCL (datasets). The Australian primary-productivity dataset used in this study was directly obtained from the publicly available data-and-code archive accompanying Ren et al. (2026). Specifically, the original dataset and associated code are available at Figshare: &lt;a href="https://doi.org/10.6084/m9.figshare.31169701" target="_blank"&gt;https://doi.org/10.6084/m9.figshare.31169701&lt;/a&gt;.&lt;/p&gt;&lt;p dir="ltr"&gt;Ren, K., Song, Y., Yang, X., Wang, X., Chen, M., &amp; Yu, Q. (2026). &lt;i&gt;Spatial outliers as a pattern determinant for explaining heterogeneity&lt;/i&gt;. &lt;i&gt;International Journal of Geographical Information Science&lt;/i&gt;. &lt;a href="https://doi.org/10.1080/13658816.2026.2682957" target="_blank"&gt;https://doi.org/10.1080/13658816.2026.2682957&lt;/a&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T04:48:07Z</dc:date>
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