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    <responseDate>2026-10-06T15:24:01Z</responseDate>
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    <identifier>10.57760/sciencedb.35062</identifier>
    <datestamp>2026-09-30T09:26:59Z</datestamp>
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  <dc:date>2026-09-30</dc:date>
  <dc:title>A dataset of knowledge graph construction for sweet potato pests and diseases</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.35062</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset consists of 22 CSV tables, among which the Sweet Potato Disease Knowledge Graph Construction Dataset Table contains a total of 45 sweet potato disease records, and the Sweet Potato Pest Knowledge Graph Construction Dataset Table contains a total of 87 sweet potato pest records, consisting of 12 fields (disease name, pest name, alias, hazard location, hazard symptoms, incidence pattern, occurrence pattern, control method, pest morphology, control agent, disease pathogen, distribution area). There are a total of 20 Excel spreadsheets in the relationship and entity folders, which are used to further break down the knowledge graph of sweet potato pests and diseases.&amp;nbsp;</dc:description>
  <dc:subject>sweet potato; disease and pest control; knowledge graph; dataset; Neo4j</dc:subject>
  <dc:creator>Zhu Yueming</dc:creator>
  <dc:creator>Chen Jing</dc:creator>
  <dc:creator>Li Qiang</dc:creator>
  <dc:creator>Huang Lifei</dc:creator>
  <dc:creator>Zhang Zhenchen</dc:creator>
  <dc:creator>Qiu Zhiling</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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