<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20210902</CreaDate>
<CreaTime>11401600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">gisdb.iat.zeelit_batimetria_litoral_n</itemName>
<itemLocation>
<linkage Sync="TRUE">Server=siat75002.iat.parana; Service=sde:postgresql:siat75002.iat.parana, 5432; Database=gisdb; User=iat; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-48.764213</westBL>
<eastBL Sync="TRUE">-47.999620</eastBL>
<southBL Sync="TRUE">-25.782392</southBL>
<northBL Sync="TRUE">-25.218658</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_SIRGAS_2000</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_SIRGAS_2000&amp;quot;,DATUM[&amp;quot;D_SIRGAS_2000&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4674]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.9831528411952133e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4674&lt;/WKID&gt;&lt;LatestWKID&gt;4674&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20220328</SyncDate>
<SyncTime>09562500</SyncTime>
<ModDate>20220328</ModDate>
<ModTime>09562500</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdFileID>25SPH5J5-BBB1-ID1U-9PK0-MJ4JLSP09X0Z</mdFileID>
<mdLang>
<languageCode value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdDateSt Sync="TRUE">20220328</mdDateSt>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<dataIdInfo>
<idCitation>
<date>
<createDate>2016-01-01T00:00:00</createDate>
</date>
<resTitle>zeelit_batimetria_litoral_n_ht</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<dataLang>
<languageCode value="por"/>
<countryCode Sync="TRUE" value="BRA"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.8.0.29751</envirDesc>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataScale>
<equScale>
<rfDenom>bases_i</rfDenom>
</equScale>
</dataScale>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
<tpCat>
<TopicCatCd value="005"/>
</tpCat>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-48.764213</westBL>
<eastBL Sync="TRUE">-47.999620</eastBL>
<northBL Sync="TRUE">-25.218658</northBL>
<southBL Sync="TRUE">-25.782392</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<searchKeys>
<keyword>Batimetria</keyword>
<keyword>Elevação</keyword>
<keyword>Litoral</keyword>
</searchKeys>
<idPurp>Pontos de batimetria do Litoral Norte do estado do Paraná.</idPurp>
<idAbs>Pontos de batimetria do litoral Norte do estado do Paraná, mais especificamente na área da Baía de Paranaguá</idAbs>
<idCredit>ZEE-PR - Litoral, 2016</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<dqInfo>
<dataLineage>
Curvas de Nível do Mapeamento Sistemático produzido em escala 1:250.000
<statement>Camada derivada do projeto do ZEE-PR Litoral. </statement>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="gisdb.iat.zeelit_batimetria_litoral_n">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">108417</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="gisdb.iat.zeelit_batimetria_litoral_n">
<enttyp>
<enttypl Sync="TRUE">gisdb.iat.zeelit_batimetria_litoral_n</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">108417</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">objectid</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">longitude</attrlabl>
<attalias Sync="TRUE">longitude</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">latitude</attrlabl>
<attalias Sync="TRUE">latitude</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">profundida</attrlabl>
<attalias Sync="TRUE">profundida</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">prof</attrlabl>
<attalias Sync="TRUE">prof</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4674"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(9.2.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="gisdb.iat.zeelit_batimetria_litoral_n">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">108417</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
