<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260109</CreaDate>
<CreaTime>14272800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">yard_waste_AB_collection_days</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&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]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,2000000.002616666],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-79.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,34.33333333333334],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,36.16666666666666],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,33.75],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2264]]&lt;/WKT&gt;&lt;XOrigin&gt;-121841900&lt;/XOrigin&gt;&lt;YOrigin&gt;-93659000&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&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;WKID&gt;102719&lt;/WKID&gt;&lt;LatestWKID&gt;2264&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20260325</SyncDate>
<SyncTime>08070500</SyncTime>
<ModDate>20260325</ModDate>
<ModTime>08070500</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.0.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Yard Waste Zones AB</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<idAbs>Town of Apex, NC. Public Works Yard Waste AB Zones Map Service - referenced, DEFAULT version of APEXPWT yard waste zone feature classes published to GIS Portal 08/19/2026</idAbs>
<searchKeys>
<keyword>Yard_Waste_Zones_AB</keyword>
<keyword>MapServer</keyword>
</searchKeys>
<idPurp>Town of Apex, NC. Public Works Yard Waste AB Zones Map Service - referenced, DEFAULT version of APEXPWT yard waste zone feature classes published to GIS Portal 08/19/2026</idPurp>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2264">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.12(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="yard_waste_AB_collection_days">
<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="yard_waste_AB_collection_days">
<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="yard_waste_AB_collection_days">
<enttyp>
<enttypl Sync="FALSE">yard_waste_AB_collection_days</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">Day</attrlabl>
<attalias Sync="TRUE">Day</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</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>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</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">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</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">20260325</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
