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                <identifier>oai:data.mendeley.com/b6b4sdxy95.1</identifier>
                <datestamp>2025-03-03T01:04:33Z</datestamp>
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    <dc:creator id="https://orcid.org/0009-0005-9022-380X">Ma, Yue</dc:creator>
    <dc:title>Temporal Evolution of Urban Physical Disorder in China</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>These zip files contain data from the paper &quot; Measuring Temporal Evolution of National-Wide Urban Physical Disorder: An Approach Combining Time-Series Street View Imagery with Deep Learning&quot;. The data comes from a large-scale analysis of urban physical disorder in 698 natural cities in China using street view imagery and deep learning models.

This folder contains the results of the multi-scale urban physical disorder measurement. Three shapefiles &quot;point_result.shp&quot;, &quot;subdistrict_result.shp&quot; and &quot;city_result.shp&quot; record unique IDs and urban physical disorder levels for 2,643,959 sampling points, 11,422 subdistricts, and 698 natural cities for two time periods, period1(UPD_P1) and period2(UPD_P2), respectively.
</dc:description>
    <dc:subject>Spatial Database</dc:subject>
    <dc:contributor>Li, Yan</dc:contributor>
    <dc:contributor>Long, Ying</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/b6b4sdxy95.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/b6b4sdxy95.1</dc:identifier>
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    <dc:date>2025-03-03T01:04:33Z</dc:date>
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