<?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>Supplemental material for "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"</titl><IDNo agency="DOI">doi:10.34622/datarepositorium/B92TXJ</IDNo></titlStmt><distStmt><distrbtr source="archive">Repositório de Dados da Universidade do Minho</distrbtr><distDate>2024-09-04</distDate></distStmt><verStmt source="DVN"><version date="2025-03-25" type="RELEASED">2</version></verStmt><biblCit>Gomes, Pedro, 2024, "Supplemental material for "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"", https://doi.org/10.34622/datarepositorium/B92TXJ, Repositório de Dados da Universidade do Minho, V2</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Supplemental material for "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"</titl><IDNo agency="DOI">doi:10.34622/datarepositorium/B92TXJ</IDNo></titlStmt><rspStmt><AuthEnty affiliation="UMinho, CBMA">Gomes, Pedro</AuthEnty><othId role="Work Package Leader">Gomes, Pedro</othId><othId role="Researcher">Carreira-Flores, Diego</othId><othId role="Researcher">Henriques, Renato</othId><othId role="Researcher">Rubal, Marcos</othId><othId role="Researcher">Azevedo, Diana</othId></rspStmt><prodStmt><prodDate>2025-03-25</prodDate><software version="2024.04.2 Build 764">RStudio</software><software version="4.4.1">R Core Team (2024)</software><software version="2.0">ReefMaster</software><software version="3.42">QGis</software><software version="2.0">XTide</software><grantNo agency="Fundação para a Ciência e a Tecnologia">UIDB/04050/2020</grantNo><grantNo agency="Fundação para a Ciência e a Tecnologia">LA/P/0069/2020</grantNo><grantNo agency="Portugal 2020">NORTE-01-0145-FEDER-000040</grantNo></prodStmt><distStmt><distrbtr source="archive">Repositório de Dados da Universidade do Minho</distrbtr><contact affiliation="UMinho, CBMA">Gomes, Pedro</contact><depositr>Gomes, Pedro</depositr><depDate>2025-03-25</depDate></distStmt></citation><stdyInfo><subject><keyword>Earth and Environmental Sciences</keyword><keyword>EMODnet</keyword><keyword>Consumer-Grade Fish Finders</keyword><keyword>Bathymetric Surveys</keyword><keyword>Cost-Effective Coastal Mapping Solutions</keyword><keyword>Marine Ecosystem Monitoring</keyword><keyword>Global Digital Elevation Models (GDEM)</keyword><keyword>Marine Strategy Framework Directive (MSFD)</keyword></subject><abstract date="2025-03-25">Geo-referenced images of the data used to build the figures in the text of "Assessing the Potential of Consumer-grade Fish Finders to Improve Coastal Habitat Mapping in Data-poor Areas"; R code used to manipulate and analyze the data behind the figures.</abstract><sumDscr><nation>Portugal</nation><geogCover>Viana do Castelo</geogCover><geogCover>Minho</geogCover><geoBndBox><eastBL>-8.82760414</eastBL><westBL>-8.99458266</westBL><southBL>41.59201392</southBL><northBL>41.73171777</northBL></geoBndBox></sumDscr></stdyInfo><method><dataColl><sources><dataSrc>European Marine Observation and Data Network (EMODnet)&#xd;
GEBCO Seabed 2030 Project, 2020&#xd;
COSMO</dataSrc><srcDocu>European Marine Observation and Data Network (EMODnet). https://emodnet.ec.europa.eu/en/faq-about-downloading-emodnet-data&#xd;
&#xd;
GEBCO Seabed 2030 Project, 2020. Nearly a fifth of world's ocean floor now mapped. https://seabed2030.gebco.net/news/gebco_2020_release.html&#xd;
&#xd;
COSMO https://cosmo.apambiente.pt/data</srcDocu></sources></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f4788" URI="https://datarepositorium.uminho.pt/api/access/datafile/4788" level="datafile"><labl>00_Readme.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f4787" URI="https://datarepositorium.uminho.pt/api/access/datafile/4787" level="datafile"><labl>1st_approach_2m.asc</labl><txt>ASCII file, with a pixel resolution of 2m, used as the test DEM for the first approach in the paper</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f4784" URI="https://datarepositorium.uminho.pt/api/access/datafile/4784" level="datafile"><labl>2nd_approach_2m.asc</labl><txt>ASCII file, with a pixel resolution of 2m, used as the test DEM for the second approach in the paper</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f4789" URI="https://datarepositorium.uminho.pt/api/access/datafile/4789" level="datafile"><labl>2nd approach.gpkg</labl><txt>vector map in GeoPackage format with the contour lines generated during the 2nd approach step described in the text</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/octet-stream</notes></otherMat><otherMat ID="f5351" URI="https://datarepositorium.uminho.pt/api/access/datafile/5351" level="datafile"><labl>Bland-Altman analyses_COSMO.R</labl><txt>R script to build a Bland-Altman analysis and plots comparing consumer-grade sonar data with COSMO data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f5352" URI="https://datarepositorium.uminho.pt/api/access/datafile/5352" level="datafile"><labl>Bland-Altman analyses_EMODNET.R</labl><txt>R script to build a Bland-Altman analysis and plots comparing EMODNET data with consumer-grade sonar data</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f4785" URI="https://datarepositorium.uminho.pt/api/access/datafile/4785" level="datafile"><labl>Compare 2 DEMs.R</labl><txt> R script used to compare a reference and a test DEM, by calculating root mean square error (RMSE), mean absolute error (MAE), and the Pearson correlation coefficient</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat><otherMat ID="f4783" URI="https://datarepositorium.uminho.pt/api/access/datafile/4783" level="datafile"><labl>EMODNet_Viana.tif</labl><txt>DEM file extracted from EMODNet, used in the 1st approach</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/tiff</notes></otherMat><otherMat ID="f4782" URI="https://datarepositorium.uminho.pt/api/access/datafile/4782" level="datafile"><labl>LTH_AN2_201908_WGS84.tif</labl><txt>eprojected section of the original COSMO DEM</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/tiff</notes></otherMat><otherMat ID="f4786" URI="https://datarepositorium.uminho.pt/api/access/datafile/4786" level="datafile"><labl>Remove sonar duplicates v2.R</labl><txt>R script to remove duplicated points, with the same coordinates. The depth is averaged to the individual depths of each duplicated point.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">type/x-r-syntax</notes></otherMat></codeBook>