<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20241011</CreaDate>
<CreaTime>09042700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Hallazgos sitios arqueológicos</resTitle>
</idCitation>
<idAbs>Corresponde a los sitios donde han existido excavaciones con hallazgos arqueológicos. Estos hallazgos evidencian la evolución de los inmuebles, manzanas, plazas y en general el entorno urbano, e identifican los usos y a sus ocupantes en todas las épocas.</idAbs>
<idCredit>IDPC, UAECD</idCredit>
<searchKeys>
<keyword>plan</keyword>
<keyword>arqueológico</keyword>
<keyword>arqueología</keyword>
<keyword>hallazgo</keyword>
<keyword>potencial</keyword>
<keyword>funerario</keyword>
<keyword>hidrología</keyword>
<keyword>chorro</keyword>
<keyword>red</keyword>
<keyword>tranvía</keyword>
<keyword>cementerio</keyword>
<keyword>óseo</keyword>
<keyword>industrial</keyword>
<keyword>plaza</keyword>
<keyword>parque</keyword>
<keyword>zonificación</keyword>
<keyword>iglesia</keyword>
<keyword>catedra</keyword>
<keyword>fábrica</keyword>
</searchKeys>
<idPurp>
En este conjunto de datos se identifican física y potencialmente los sitios representativos con hallazgos arqueológicos dentro del centro histórico</idPurp>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P STYLE="margin:0 0 3 0;"&gt;&lt;SPAN&gt;CC BY 4.0&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
