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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-2025-767</article-id>
<title-group>
<article-title>SHELDA: Sub-hourly European Quality Controlled Sea Level Dataset</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Balić</surname>
<given-names>Marijana</given-names>
<ext-link>https://orcid.org/0000-0002-1183-3214</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Šepić</surname>
<given-names>Jadranka</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Faculty of science, University of Split, Ruđera Boškovića 33, 21000 Split, Croatia</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Center of Excellence for Science and Technology - Integration of Mediterranean Region, University of Split, Ruđera Boškovića 31, 21000, Split, Croatia</addr-line>
</aff>
<pub-date pub-type="epub">
<day>28</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>2025</volume>
<fpage>1</fpage>
<lpage>35</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Marijana Balić</copyright-statement>
<copyright-year>2025</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-2025-767/">This article is available from https://essd.copernicus.org/preprints/essd-2025-767/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2025-767/essd-2025-767.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2025-767/essd-2025-767.pdf</self-uri>
<abstract>
<p>Availability of high-quality sub-hourly sea level data is essential for understanding of a wide range of oceanic processes, including tidal oscillations, seiches, storm surges, tsunamis (including meteotsunamis), and their impact on sea level extremes and coastal flooding. Freely accessible sea level databases often contain time series measured with hourly or even longer sampling step, or they contain high-frequency data that have not undergone quality control procedures. To address this gap, the SHELDA (&lt;strong&gt;S&lt;/strong&gt;ub-&lt;strong&gt;H&lt;/strong&gt;ourly &lt;strong&gt;E&lt;/strong&gt;uropean Quality Controlled Sea &lt;strong&gt;L&lt;/strong&gt;evel &lt;strong&gt;DA&lt;/strong&gt;taset) has been created. This dataset comprises 257 individual tide gauge records in NetCDF format (&lt;a href=&quot;https://doi.org/10.14284/764&quot;&gt;https://doi.org/10.14284/764&lt;/a&gt;, Balić and &amp;Scaron;epić, 2025), each representing quality-controlled sea level time series sampled at intervals between 1 and 15 minutes, along with residual time series derived by removing tidal components. This paper outlines the rigorous quality control procedures implemented and describes the spatial and temporal coverage of the dataset, along with technical specifications. SHELDA enables precise identification and analysis of sea level variability at timescales from minutes to multi-yearly along the European coasts, including Greenland, Canary Islands, Israel, Lebanon and T&amp;uuml;rkiye.</p>
</abstract>
<counts><page-count count="35"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>European Research Council</funding-source>
<award-id>853045 SHExtreme</award-id>
</award-group>
<award-group id="gs2">
<funding-source>European Research Council</funding-source>
<award-id>01213756 MeD-Track</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Hrvatska Zaklada za Znanost</funding-source>
<award-id>IP-2019-04-5875 StVar-Adri</award-id>
</award-group>
<award-group id="gs4">
<funding-source>Hrvatska Zaklada za Znanost</funding-source>
<award-id>IP-2022-10-4144 CroClimExtremes</award-id>
</award-group>
<award-group id="gs5">
<funding-source>European Regional Development Fund</funding-source>
<award-id>PK.1.1.10.0005 STIM–REI 2.0</award-id>
</award-group>
<award-group id="gs6">
<funding-source>NextGenerationEU</funding-source>
<award-id>IP-UNIST-45 ZMAJ project</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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