<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="pt">
<Esri>
<CreaDate>20230413</CreaDate>
<CreaTime>10083600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">unidades_fitogeograficas</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">135989.208100</westBL>
<eastBL Sync="TRUE">799850.046500</eastBL>
<southBL Sync="TRUE">7044926.002200</southBL>
<northBL Sync="TRUE">7509557.927100</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">0.987</itemSize>
</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/3.1.0'&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>20230420</SyncDate>
<SyncTime>14303100</SyncTime>
<ModDate>20251208</ModDate>
<ModTime>15593300</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.1.0.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">fito_PRAD</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-54.656782</westBL>
<eastBL Sync="TRUE">-47.986971</eastBL>
<northBL Sync="TRUE">-22.481664</northBL>
<southBL Sync="TRUE">-26.716846</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Unidades Fitogeográficas Paraná&lt;/span&gt;&lt;span&gt; - Adaptado de Maack (1950), modificado por Roderjan et al. (2002)&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Biótico</keyword>
<keyword>Ecossistemas</keyword>
<keyword>Fitogeográficas</keyword>
</searchKeys>
<idCredit>Maack (1950), Roderjan et al. (2002)</idCredit>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="por">
</languageCode>
<countryCode Sync="TRUE" value="BRA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.987</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4674">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(9.2.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="unidades_fitogeograficas">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="unidades_fitogeograficas">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="unidades_fitogeograficas">
<enttyp>
<enttypl Sync="FALSE">unidades_fitogeograficas</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</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">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>
<attr>
<attrlabl Sync="TRUE">BIOMA</attrlabl>
<attalias Sync="TRUE">BIOMA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FITO</attrlabl>
<attalias Sync="TRUE">FITO</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LEGENDA</attrlabl>
<attalias Sync="TRUE">LEGENDA</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_area(shape)</attrlabl>
<attalias Sync="TRUE">st_area(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_perimeter(shape)</attrlabl>
<attalias Sync="TRUE">st_perimeter(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20251208</mdDateSt>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
