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        <datestamp>2026-09-16T03:03:46Z</datestamp>
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          <dc:title>Road surface type dataset for 110 low- and middle-income countries</dc:title>
          <dc:creator>Jiaojiao Guo (5526446)</dc:creator>
          <dc:creator>Qi Zhou (9342689)</dc:creator>
          <dc:subject>Geospatial information systems and geospatial data modelling</dc:subject>
          <dc:subject>Cartography and digital mapping</dc:subject>
          <dc:subject>Land use and environmental planning</dc:subject>
          <dc:subject>Road surface type</dc:subject>
          <dc:subject>SDG9.1</dc:subject>
          <dc:subject>Global South</dc:subject>
          <dc:subject>Rural access index</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;The road surface type dataset (paved/unpaved) consists of two components: the original dataset and the newly added dataset. The original dataset was derived from the road surface type dataset developed by Liu et al. (2026), which covers 50 African countries. The newly added dataset consists of road surface types in 60 countries across Asia, the Middle East, Latin America, and the Caribbean, which was developed as a supplement to this study, bringing the total coverage to 110 low- and middle-income countries. The dataset contains approximately 61.52 million road segments, with a total road length of approximately 36.12 million km and a total data volume of approximately 70 GB.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-16T03:03:46Z</dc:date>
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