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    <dif:Entry_ID>ingv:https://data.ingv.it/metadata/iso19115/1156.xml</dif:Entry_ID>
    <dif:Entry_Title>DEMETRA – Dense Maccalube Tromino Acquisition – Dataset in SESAME ASCII Format (.saf)</dif:Entry_Title>
    <dif:Data_Set_Citation>
      <dif:Dataset_Creator/>
      <dif:Dataset_Release_Date>2025-11-15</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>Local</dif:Keyword>
    <dif:Keyword>PROMUD seismic data</dif:Keyword>
    <dif:Temporal_Coverage>
      <dif:Start_Date/>
      <dif:End_Date/>
    </dif:Temporal_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>This dataset contains seismic noise recordings acquired during the DEMETRA (DEnse MaccalubE TRomino Acquisition) field survey, conducted on 22–23 April 2025 at the Maccalube di Aragona mud volcanoes (Southern Italy). The survey employed a Tromino® instrument for single-station ambient noise measurements, using a dense deployment of acquisition points distributed across the mud volcano area.nnThe dataset includes 21 files in SESAME ASCII Format (.saf) v.1, one for each sampled site (DMT01–DMT21). Each measurement lasted 30 min. These data were used in the following publication:nnPetrosino, S., Madonia, P., Gucciardo, D.,  and  Cusano, P. (2025).DEMETRA—A Seismic Noise Survey at the Maccalube di Aragona Mud Volcanoes (Southern Italy): Results and Perspectives. Sensors, 25(22), 6975.DOI: 10.3390/s25226975</dif:Summary>
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      </dif:URL_Content_Type>
      <dif:URL>https://zenodo.org/doi/10.5281/zenodo.17617938</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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