<?xml version="1.0" encoding="UTF-8"?><doi_batch xmlns="http://www.crossref.org/grant_id/0.2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/grant_id/0.2.0 https://gitlab.com/crossref/schema/-/raw/master/schemas/grant_id0.2.0.xsd" version="0.2.0">  <head>    <doi_batch_id>batch_auto_20260713</doi_batch_id>    <timestamp>202607131256465730</timestamp>    <depositor>      <depositor_name>BOEM ESP geoESPIS</depositor_name>      <email_address>ESPIS@boem.gov</email_address>    </depositor>    <registrant>Bureau of Ocean Energy Management</registrant>  </head>  <body>    <grant>      <project>        <project-title xml:lang="en">Assessment of Ship Shoal Borrow Areas for Coastal Restoration of Louisiana Barrier Islands</project-title>          <investigators>          <person role="investigator">            <alternateName>Louisiana State University</alternateName>            <affiliation>              <institution country="US">Louisiana State University</institution>            </affiliation>          </person>          </investigators>        <description xml:lang="en">A geological and physical oceanographic study of Caminada and Block 88 borrow areas on Ship Shoal in the inner Louisiana shelf was conducted using comprehensive approaches of geophysical surveys, coring, field observation, and data synthesis. Data collected in Ship Shoal borrow areas were used to assess present pit morphology. Existing data from mud-capped pits and newly acquired data from sandy pits were compared and analyzed, and employed to validate numerical models. The study built on BOEM’s investment toward better understanding sandy shoal dredge pit problem by filling data gaps and validating predictive models and focused on evaluating the effectiveness of mitigations applied to existing sandy dredge pits.</description>        <award_amount currency="USD">461000</award_amount>        <funding amount="461000" currency="USD" funding-percentage="100" funding-type="award">          <funder-name>U.S. Department of the Interior</funder-name>          <funder-id>https://doi.org/10.13039/100012475</funder-id>        </funding>        <award-dates start-date="2017-10-01" end-date="2021-09-07"/>      </project>      <award-number>M16AC00018</award-number>      <doi_data>        <doi>10.67297/9A1DF3</doi>        <resource>https://boem.gov/awardpages/100211</resource>      </doi_data>    </grant>  </body></doi_batch>