<?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">Incorporating PAMGUARD into the Tethys Passive Acoustic Data Metadata System</project-title>          <investigators>          <person role="investigator">            <alternateName>College of Sciences, Department of Computer Science</alternateName>            <affiliation>              <institution country="US">San Diego State University</institution>            </affiliation>          </person>          </investigators>        <description xml:lang="en">Sound has proven to be an effective tool in the monitoring of wildlife and for determining and implementing mitigating methods for human disturbance of wildlife. Over the last decades, our ability to produce long-term wide-band recordings has grown exponentially, driving the need to produce automated and semi-automated tools that produce data products in a standardized manner, which increases their usefulness for addressing policy and scientific questions as well as their ability to retain and share these data. In this study, we developed new functionality to further enable large-scale data analysis in PAMGuard, one of the most highly used software packages for capturing and analyzing recordings of wildlife, and developed a PAMGuard interface to Tethys, a reference implementation of the Acoustical Society of America / American National Standards Institute (ASA/ANSI) standard for retaining information about recordings and information that is derived from them.</description>        <award_amount currency="USD">880973</award_amount>        <funding amount="880973" 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="2022-09-30" end-date="2024-09-29"/>      </project>      <award-number>M22AC00019</award-number>      <doi_data>        <doi>10.67297/9A1EFF</doi>        <resource>https://boem.gov/awardpages/100479</resource>      </doi_data>    </grant>  </body></doi_batch>