<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T19:17:53Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.IGA.00376" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.IGA.00376</identifier>
    <datestamp>2023-09-12T15:57:42Z</datestamp>
</header>
    <metadata>
        
<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>2023-09-12</dc:date>
  <dc:title>Spatial dataset for optimizing and predicting the 1km ecosystem pattern in Heilongjiang Province by 2030</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.00376</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>a. Data content (data file/table name, including observation index content)

This dataset includes prediction data on the optimization space of the ecosystem pattern in Heilongjiang Province, understanding the future spatial distribution of the ecosystem pattern in Heilongjiang Province, and providing data support for the ecological restoration of Heilongjiang Province.

b. Construction purpose

China has a vast territory and diverse types of ecosystems, but the ecological environment is fragile, with severe ecological degradation and a serious threat to biodiversity. Ecological environmental issues have become a serious challenge in China's economic development process.

c. Service object

It can widely serve scientific researchers and students in forestry, ecology, and related disciplines such as hydrology and wetland ecology.

d. Time range of data

2030

e. The spatial range of data

Heilongjiang Province</dc:description>
  <dc:subject>Heilongjiang Province; optimizing and predicting the; 2030</dc:subject>
  <dc:creator>毛德华</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>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>