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    <identifier>10.11922/sciencedb.542</identifier>
    <datestamp>2017-12-04T08:48:25Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2017-12-04</dc:date>
  <dc:title>Coastal Fishing Port Geography Distribution Dataset, China 2017</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.542</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In a series of data attributes of scientific data, geographic attributes are the most intuitive way of expressing data. Geographical description of the data will help users to understand the data, as well as to access and use it. Based on the database of &amp;quot;Fishing Port Quantity, Distribution, Function and Current Status&amp;quot; in Fishery Science Data Sharing Center, This paper uses the geographical attribute analysis method to construct the Fishing Port Geography Distribution Dataset, and promote the user's understanding and grasp of the data. This dataset also lays the foundation for data applications based on geographic information. The method provided in this article also provides an example for the geographic attribute analysis of other datasets.</dc:description>
  <dc:subject>Coastal Fishing Port;  geographic information;  scientific data;  geographical distribution</dc:subject>
  <dc:creator>陈孟婕</dc:creator>
  <dc:creator>徐硕</dc:creator>
  <dc:creator>刘慧媛</dc:creator>
  <dc:creator>蒋庆朝</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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