<?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>2026-10-13T20:02:29Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.26091" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.26091</identifier>
    <datestamp>2025-06-06T14:00:01Z</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>2025-06-06</dc:date>
  <dc:title>Automatic observation dataset of air temperature and air humidity dynamics in typical agroecosystems in the hilly areas of the Sichuan Basin (1997-2022)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26091</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset consists of 4 EXCEL files, including (1) Air temperature data.xlsx, which is the data of hourly, daily and monthly values of air temperature from October 1997 to December 2022, and the data of daily and monthly values contain 5 and 7 statistical indicators respectively, with a data volume of 1.74MB; (2) Air relative humidity data.xlsx, which is the data of hourly, daily and monthly values of air humidity from October 1997 to December 2022, the data of daily and monthly values contain 3 and 4 statistical indicators respectively, with a data volume of 1.53MB; (3) Water vapor pressure data.xlsx is the data of hourly, daily and monthly values of water vapor pressure from October 2004 to December 2022, the data of daily and monthly values contain 3 and 7 statistical indicators respectively, with a data volume of 1.19MB; (4) Dewpoint Temperature Data.xlsx is the hourly, daily and monthly dewpoint temperature data from October 2004 to December 2022, the daily and monthly data contain 3 and 7 statistical indicators respectively, the data volume is 1.24MB.</dc:description>
  <dc:subject>Sichuan basin; hills; Yanting staion; Agroecosystem; air temperature; air humidity</dc:subject>
  <dc:creator>Gao Mei rong</dc:creator>
  <dc:creator>Zhu Bo</dc:creator>
  <dc:creator>Wang Yanqiang</dc:creator>
  <dc:creator>Kuang Fuhong</dc:creator>
  <dc:creator>Zhang Xifeng</dc:creator>
  <dc:creator>Zhou Minghua</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/10.11922/11-6035.nesdc.2025.0111.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

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