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    <dif:Entry_ID>ingv:https://data.ingv.it/metadata/iso19115/1211.xml</dif:Entry_ID>
    <dif:Entry_Title>ESM25 - Engineering Strong Motion ML dataset</dif:Entry_Title>
    <dif:Data_Set_Citation>
      <dif:Dataset_Creator/>
      <dif:Dataset_Release_Date>2026-06</dif:Dataset_Release_Date>
      <dif:Dataset_Publisher/>
      <dif:Data_Presentation_Form/>
    </dif:Data_Set_Citation>
    <dif:ISO_Topic_Category/>
    <dif:Keyword>EU</dif:Keyword>
    <dif:Keyword>open data</dif:Keyword>
    <dif:Keyword>Global</dif:Keyword>
    <dif:Keyword>EDUCATION AND COMMUNICATIONS.information technology and data processing</dif:Keyword>
    <dif:Keyword>SCIENCE.natural and applied sciences.earth sciences.geology.seismology</dif:Keyword>
    <dif:Keyword>machine learning</dif:Keyword>
    <dif:Keyword>big data</dif:Keyword>
    <dif:Keyword>seismic event detection</dif:Keyword>
    <dif:Keyword>ground motion estimation</dif:Keyword>
    <dif:Keyword>analysis benchmarking</dif:Keyword>
    <dif:Keyword>seismic tomography</dif:Keyword>
    <dif:Temporal_Coverage>
      <dif:Start_Date>1967-01-01</dif:Start_Date>
      <dif:End_Date>2026-04-30</dif:End_Date>
    </dif:Temporal_Coverage>
    <dif:Spatial_Coverage>
      <dif:Southernmost_Latitude>20.0</dif:Southernmost_Latitude>
      <dif:Northernmost_Latitude>72.0</dif:Northernmost_Latitude>
      <dif:Westernmost_Longitude>-30.0</dif:Westernmost_Longitude>
      <dif:Easternmost_Longitude>60.0</dif:Easternmost_Longitude>
    </dif:Spatial_Coverage>
    <dif:Access_Constraints>otherRestrictions</dif:Access_Constraints>
    <dif:Data_Set_Language/>
    <dif:Originating_Center>Istituto Nazionale di Geofisica e Vulcanologia - INGV</dif:Originating_Center>
    <dif:Summary>The ESM25 dataset is a comprehensive, ML-ready compilation of strong-motion recordings from the Engineering Strong-Motion database (ESM). It provides 3C waveforms, manually processed time-histories, and response spectra for nearly 100,000 records across the Euro-Mediterranean and Middle East region.&#13;
The dataset is structured following the format established by INSTANCE (Michelini et al., 2021) and is natively compatible with SeisBench (Woollam et al., 2022), enabling immediate use in machine-learning pipelines for ground-motion prediction, quality-control automation, and site-effect analysis.&#13;
Each record has been classified as good or bad quality based on manual review. Good-quality records include both converted-to-physical-units (CV) and manually-processed (MP) waveforms, along with response spectra. Bad-quality records include CV waveforms only. CV contains acceleration only; MP contains acceleration, velocity, and displacement waveforms together with acceleration and displacement response spectra.</dif:Summary>
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      <dif:URL_Content_Type>
        <dif:Type>None</dif:Type>
      </dif:URL_Content_Type>
      <dif:URL>https://shake.mi.ingv.it/esm25/</dif:URL>
      <dif:Description>None</dif:Description>
    </dif:Related_URL>
    <dif:Metadata_Name>CEOS IDN DIF</dif:Metadata_Name>
    <dif:Metadata_Version>9.7</dif:Metadata_Version>
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