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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1866-3591</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2026-109</article-id>
<title-group>
<article-title>A Comprehensive Global Aquatic N&lt;sub&gt;2&lt;/sub&gt;O Emission Database (GANED): Unravelling N&lt;sub&gt;2&lt;/sub&gt;O Emission Patterns from Different Water Bodies</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nazir</surname>
<given-names>Muhammad Junaid</given-names>
<ext-link>https://orcid.org/0000-0003-3000-3328</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yu</surname>
<given-names>Longfei</given-names>
<ext-link>https://orcid.org/0000-0002-2127-6343</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Yunjie</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zou</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yuan</surname>
<given-names>Wenping</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wei</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology,  Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Atmospheric Sciences, Guangdong Province Data Centre of Terrestrial and Marine Ecosystems Carbon Cycle, Sun  Yat-sen University, Zhuhai, Guangdong, 519082, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences,  Peking University, Beijing, 100871, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>These authors contributed equally to this work.</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>44</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Muhammad Junaid Nazir et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-109/">This article is available from https://essd.copernicus.org/preprints/essd-2026-109/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-109/essd-2026-109.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-109/essd-2026-109.pdf</self-uri>
<abstract>
<p>Nitrous oxide (N&lt;sub&gt;2&lt;/sub&gt;O) is not only one of the main potent greenhouse gases, but also currently the dominant ozone-depleting substance. The quantification of N&lt;sub&gt;2&lt;/sub&gt;O emissions from aquatic ecosystems, despite their global importance, is hindered by fragmented observations, inconsistent data reporting, and pronounced spatiotemporal variability. In this study, to improve accessibility, we introduce the Global Aquatic N&lt;sub&gt;2&lt;/sub&gt;O Emission Database (GANED; &lt;a href=&quot;https://doi.org/10.6073/pasta/4a086e49a4f308679b951293b380e7b9&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;https://doi.org/10.6073/pasta/4a086e49a4f308679b951293b380e7b9&lt;/a&gt;, Nazir et al., 2026), a consolidated dataset comprising 5130 N&lt;sub&gt;2&lt;/sub&gt;O concentration records and 7386 N&lt;sub&gt;2&lt;/sub&gt;O flux measurements from 3002 sites across diverse aquatic systems, including rivers, streams, lakes, reservoirs, ponds, estuaries, coastal waters, and open seas. The dataset integrates information on aquatic N&lt;sub&gt;2&lt;/sub&gt;O emission from 426 peer-reviewed publications across 8 continents, covering the period 1980&amp;ndash;2023. While the number of observations has increased substantially since 2000, spatial coverage remains uneven, with significant gaps across Africa and parts of high-latitude regions, including Antarctica and South America. Our dataset revealed a highly skewed distribution of N&lt;sub&gt;2&lt;/sub&gt;O concentration and flux across aquatic ecosystems, with rivers and streams exhibiting the most significant variability and functioning as emission hotspots. Lakes and estuaries showed moderate variability and emission levels, whereas seas and coastal waters were characterized by consistently lower values. Pearson correlation coefficient revealed a strong positive relationship of N&lt;sub&gt;2&lt;/sub&gt;O fluxes with ammonium (NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;; R = 0.943, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.001), nitrate (NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;; R = 0.691, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.001), and nitrite (NO&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;; R = 0.807, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.001). Significant negative correlations were found with dissolved oxygen (DO; R = -0.205, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.05), dissolved organic carbon (DOC; R = -0.977, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.05), and salinity (R = -0.636, &lt;em&gt;p&lt;/em&gt; = 0.005), while non-significant associations were observed for water temperature, total nitrogen (TN), and total phosphorus (TP). The GANED dataset facilitates improved quantification of global aquatic N&lt;sub&gt;2&lt;/sub&gt;O inventories by providing comprehensive N&lt;sub&gt;2&lt;/sub&gt;O concentrations and fluxes in water bodies, as well as metadata describing sampling location, aquatic system type, and associated environmental parameters. The magnitude and patterns of N&lt;sub&gt;2&lt;/sub&gt;O emissions from water bodies provided by the GANED database are essential in defining how these aquatic ecosystems shape our climate, refining emission estimates, identifying drivers, and guiding mitigation strategies.</p>
</abstract>
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