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    <identifier>10.11922/sciencedb.01297</identifier>
    <datestamp>2021-11-02T15:28:16Z</datestamp>
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  <dc:date>2021-11-02</dc:date>
  <dc:title>An analysis of the effects of anthropogenic factors on vegetation cover change in Guanzhong, China</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01297</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>1 Including NDVI data and LST data of Guanzhong region of China from 2001 to 2018, in TIF format.2 Including DEM; River;&amp;nbsp;Pop ; GDP Traffic;&amp;nbsp;City;&amp;nbsp;Urbanization rate;&amp;nbsp;Tourist AttractionsThe present study obtained data for NDVI from the MOD13A2 dataset of the United States Geological Survey (USGS) network (https://lpdaac.usgs.gov/) with a spatial resolution of 1,000 m. Data for population were obtained from the China Population Distribution Kilometer Grid Dataset of the Resource and Environmental Science Data Center of the Chinese Academy of Sciences (http://www.resdc.cn/). GDP data were obtained from the GDP China Spatial Distribution Kilometer Grid Dataset of the Resource and Environmental Science Data Center of the Chinese Academy of Sciences. Data for the transport network in the present study included national highway, provincial highway, county roads, and railway data. Population data used in the present study included data for residents of the municipal areas of Xi&amp;rsquo;an, Baoji, Xianyang, Tongchuan, and Weinan, as well as national-level population data. Vector data were obtained from the National Basic Geographic Information Center. Data for the distribution of popular tourist natural attractions were obtained the Department of Culture and Tourism, Shaanxi Province, including the 4A- and 5A-level natural tourist attractions, and were for the period prior to January, 2018. Data for rates of urbanization were obtained from statistical yearbooks of cities and counties.</dc:description>
  <dc:subject>NDVI; Guanzhong; China</dc:subject>
  <dc:creator>Ziyi Bai</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3389/feart.2022.831904</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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