<?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">Cross-shelf Habitat Suitability Modeling</project-title>          <investigators>          <person role="investigator">            <alternateName>Biogeography Branch</alternateName>            <affiliation>              <institution country="US">NOAA National Centers for Coastal Ocean Science</institution>            </affiliation>          </person>          </investigators>        <description xml:lang="en">This study developed maps of the modeled spatial distributions of deep-sea corals, sponges, and benthic macrofauna offshore of the continental US West Coast to 1,200 m depth. These maps can be used to inform planning for offshore energy development, conservation planning, and to guide future data collection efforts. Occurrence data for deep-sea corals, sponges, and macrofauna and spatial environmental predictors depicting seafloor topography, substrate, oceanography, and geography were used in statistical models to predict and map suitable habitat for 31 deep-sea coral taxa, 15 sponge taxa, and 43 macrofauna taxa. Maps identify areas where these organisms are more likely and less likely to occur, and this information can contribute to regional ocean planning efforts and assessments for offshore energy, ground fishing, conservation, and other activities potentially impacting benthic biota in deeper waters offshore of the US West Coast.</description>        <award_amount currency="USD">350000</award_amount>        <funding amount="350000" currency="USD" funding-percentage="100" funding-type="award">          <funder-name>U.S. Department of the Interior, Bureau of Ocean Energy Management, Environmental Studies Program</funder-name>          <funder-id>https://doi.org/10.13039/100012475</funder-id>        </funding>        <award-dates start-date="2016-10-01" end-date="2020-09-30"/>      </project>      <award-number>M16PG00014</award-number>      <doi_data>        <doi>10.67297/9A1E53</doi>        <resource>https://boem.gov/awardpages/100307</resource>      </doi_data>    </grant>  </body></doi_batch>