<?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>2026-10-14T05:44:46Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.011mu" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.011mu</identifier>
    <datestamp>2026-09-13T19:49:53Z</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>2026-09-13</dc:date>
  <dc:title>Shuimogou Park Water and Carbon Flux Dataset from May to September 2023</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011mu</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is the in-situ continuous observation data of carbon and water flux in the urban green space ecosystem of Shuimogou Park in Urumqi, Xinjiang from May to September 2023. The geographical coordinates of the observation site are 87 &amp;deg; 40 &amp;prime; E longitude, 43 &amp;deg; 49 &amp;prime; N latitude, with an altitude of about 874 m. The observation underlying surface is mainly composed of urban artificial green space vegetation. The observation equipment adopts instruments such as local heat flux observation system, automatic weather station observation system, soil heat flux plate, etc. The collected raw data is preprocessed using the built-in LoggerNet software of the instrument, and then calculated online using EddyPro software. The calculation process includes removing outliers and outliers that far exceed the reasonable value or have obvious errors due to instrument failures, weather effects, etc. The data of the three-dimensional ultrasonic anemometer is processed using secondary coordinate rotation, and the turbulent fluctuations, variance, and covariance of the 30 minute interval are calculated. Finally, high pass filtering, low-pass filtering, and density influence correction are used respectively. The &amp;quot;Openeddy&amp;quot; R software package is used to remove outliers in the flux data every half hour.&amp;nbsp;</dc:description>
  <dc:subject>Carbon flux; Eddy correlation; Water use efficiency; Urban green space</dc:subject>
  <dc:creator>pan xin yi</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

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