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        <identifier>oai:figshare.com:article/33952351</identifier>
        <datestamp>2026-09-21T12:22:20Z</datestamp>
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          <dc:title>Dataset for "Integrated GeoAI–RUSLE Framework for Soil Erosion Risk Mapping and Predictive Scenario Simulation, Wadi Jazan, Saudi Arabia (2000–2042)"</dc:title>
          <dc:creator>Ibraheem Yousif (25083247)</dc:creator>
          <dc:subject>Environmental management</dc:subject>
          <dc:subject>Soil erosion</dc:subject>
          <dc:subject>Machine learning</dc:subject>
          <dc:subject>RUSLE</dc:subject>
          <dc:subject>Spatiotemporal modelling</dc:subject>
          <dc:subject>Watershed management</dc:subject>
          <dc:subject>Arid environments</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset supports the study entitled “Integrated GeoAI–RUSLE Framework for Soil Erosion Risk Mapping and Predictive Scenario Simulation, Wadi Jazan, Saudi Arabia (2000–2042).” The deposited dataset contains the data and derived outputs used to assess spatial and temporal patterns of soil erosion risk in Wadi Jazan, Saudi Arabia, using the Revised Universal Soil Loss Equation (RUSLE) integrated with GeoAI and predictive scenario modelling. The dataset includes supporting data for the RUSLE-based soil erosion assessment for 2000, 2011, and 2022, GeoAI-based modelling and validation, and predictive scenario simulation of future soil erosion risk up to 2042. These data are provided to support transparency, reproducibility, verification, and reuse of the results reported in the associated manuscript.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-21T12:22:20Z</dc:date>
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