<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260108</CreaDate>
<CreaTime>08534200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Omaha Planning Board PUR Cases</resTitle>
</idCitation>
<searchKeys>
<keyword>Omaha</keyword>
<keyword>City Planning</keyword>
<keyword>Urban Design</keyword>
<keyword>Planning Board</keyword>
<keyword>PB</keyword>
<keyword>PUR</keyword>
<keyword>Planned Unit Redevelopment</keyword>
</searchKeys>
<idPurp>A layer which combines planning board cases with PUR flagged zoning.</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;A layer which combines planning board cases with PUR flagged zoning. This was constructed by querying the Zoning Omaha layer to only display PUR tagged/flagged zoning. Planning board cases which intersected this type of zoning were queried as well into their own subset of data. The datasets were combined using join/relate, and now display pertinent information for the use of Urban Design. This layer is maintained by City Planning GIS, with input from Urban Design.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</idAbs>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
