<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"</titl><IDNo agency="DOI">doi:10.18710/E8AFE5</IDNo></titlStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distDate>2026-04-15</distDate></distStmt><verStmt source="archive"><version date="2026-04-15" type="RELEASED">1</version></verStmt><biblCit>Reinhardt, Stefanie; Carbonell Ellgutter, Jennifer Alejandrina, 2026, "Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"", https://doi.org/10.18710/E8AFE5, DataverseNO, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for "High abundance of macroplastic on a sea turtle nesting beach at the Pacific coast of Central America"</titl><IDNo agency="DOI">doi:10.18710/E8AFE5</IDNo></titlStmt><rspStmt><AuthEnty affiliation="https://ror.org/05ecg5h20">Reinhardt, Stefanie</AuthEnty><AuthEnty affiliation="https://ror.org/05ecg5h20">Carbonell Ellgutter, Jennifer Alejandrina</AuthEnty><othId role="Data Collector">Iversen, Stine Marie</othId></rspStmt><prodStmt><producer abbr="USN">University of South-Eastern Norway</producer></prodStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distrbtr abbr="USN" URI="https://dataverse.no/dataverse/usn">University of South-Eastern Norway</distrbtr><contact affiliation="University of South-Eastern Norway" email="stefanie.reinhardt@usn.no">Reinhardt, Stefanie</contact><depositr>1) Reinhardt, Stefanie 2) University of South-Eastern Norway</depositr><depDate>2026-04-07</depDate></distStmt><holdings URI="https://doi.org/10.18710/E8AFE5"/></citation><stdyInfo><subject><keyword xml:lang="en">Earth and Environmental Sciences</keyword><keyword>Plastic Pollution</keyword><keyword>Litter</keyword><keyword>OSPAR</keyword><keyword>UAV mapping</keyword><keyword>Beach monitoring</keyword><keyword>Pacific coast</keyword><keyword>Seat turtle nesting</keyword></subject><abstract date="2026-04-07">Abstract of Manuscript:
Plastic pollution poses a growing threat to coastal ecosystems, including sea turtle nesting habitats, yet data from Central America remains scarce. We quantified and mapped macroplastic (> 5mm) pollution on an Olive Ridley (Lepidochelys olivacea) nesting beach along the Pacific coast of Guatemala by applying both unmanned aerial vehicle (UAV) surveys and ground-based monitoring. We mapped macroplastic items using the OSPAR (Oslo and Paris Convention) beach litter protocol for both UAV imagery and systematic ground-truthing within representative grids. We analyzed plastic abundance with negative binomial mixed-effects models, accounting for sampling method, beach level, and vegetation presence. Ground-truthing revealed a total of 12,297 macroplastic items, corresponding to an average of 2,102 items per 100m shoreline, exceeding the OSPAR beach litter threshold 100 times. Most plastic originated from land-based sources, with accumulation near the high-tide line and within vegetated beach zones- areas that overlap with preferred sea turtle nesting habitat. Ground-based surveys consistently detected substantially higher plastic abundances than UAV imagery, particularly in vegetated areas, where aerial detection was limited. However, the integration of UAVs with ground-truth interpolation facilitated large-scale beach coverage. This study provides the first systematic assessment of macroplastic pollution on Guatemala’s Pacific coast. It highlights both the severity of plastic contamination on a sea turtle nesting beach and the need for pollution monitoring, and it emphasizes the trade-offs between detection accuracy and survey efficiency. Integrating ground surveys with aerial methods offers a scalable approach for identifying pollution hotspots and informing coastal management and conservation strategies in data-poor regions.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2021-10-01">2021-10-01</timePrd><timePrd cycle="P1" event="end" date="2021-12-01">2021-12-01</timePrd><collDate cycle="P1" event="start" date="2021-10-01">2021-10-01</collDate><collDate cycle="P1" event="end" date="2021-12-01">2021-12-01</collDate><nation>Guatemala</nation><geogCover>Santa Rosa</geogCover><geogCover>El Banco</geogCover><geogCover>Monterrico</geogCover><dataKind>Survey data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>“Submitted for review"E</titl></titlStmt><biblCit>“Submitted for review"E</biblCit></citation></relPubl></othrStdyMat></stdyDscr><otherMat ID="f274115" URI="https://dataverse.no/api/access/datafile/274115" level="datafile"><labl>00_ReadMe.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f273995" URI="https://dataverse.no/api/access/datafile/273995" level="datafile"><labl>PlasticDataGuatemala2021.csv</labl><txt>Plastic data from the Pacific Coast of Guatemala</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/comma-separated-values</notes></otherMat></codeBook>