<?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">Gulf of Mexico Marine Assessment Program for Protected Species (GOMMAPPS): Sea Turtle Fieldwork and Data Analysis</project-title>          <investigators>          <person role="investigator">            <alternateName>Wetland and Aquatic Research Center</alternateName>            <affiliation>              <institution country="US">U.S. Geological Survey</institution>            </affiliation>          </person>          </investigators>        <description xml:lang="en">The primary method used to document broad-scale distribution and density of marine animal is aerial surveys however these surveys only count individuals that are at the ocean&apos;s surface. To account for turtles that are underwater, species-specific dive data are needed. We deployed satellite tags with depth sensors on 48 loggerhead, Kemp&apos;s ridley and green turtles in the Gulf of Mexico from 2017 to 2019. Green turtles spent more time in the top two meters of the water column than Kemp&apos;s ridleys or loggerheads. Time at surface was greater for all species in summer but did not differ between BOEM&apos;s Eastern and Central Planning Areas except for Kemp&apos;s ridleys which spent more time at the surface in the Western than Eastern Planning Area. The dive-surface behavior data collected during GOMMAPPS can be applied to improve the accuracy and precision of abundance estimates for sea turtles derived from visual survey data, in particular aerial surveys.</description>        <award_amount currency="USD">1000000</award_amount>        <funding amount="1000000" 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="2017-10-01" end-date="2024-04-01"/>      </project>      <award-number>M17PG00010</award-number>      <doi_data>        <doi>10.67297/9A1DE5</doi>        <resource>https://boem.gov/awardpages/100197</resource>      </doi_data>    </grant>  </body></doi_batch>