<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20250325</CreaDate>
<CreaTime>15361200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<DataProperties>
<itemProps>
<imsContentType export="False"/>
</itemProps>
</DataProperties>
<ArcGISProfile>ISO19115_3</ArcGISProfile>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
<dataIdInfo>
<idPurp>The ControlPoints dataset provides a consistent and authoritative reference framework of control point locations for spatial alignment, survey work, georeferencing, and quality assurance of geospatial data.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This dataset contains point-geometry, each representing a surveyed location with known coordinate values within Hillsborough County.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Hillsborough County, FL</idCredit>
<idCitation>
<resTitle>GIS.ControlPoints</resTitle>
</idCitation>
<searchKeys>
<keyword>LOCATION</keyword>
<keyword>REFERENCE</keyword>
<keyword>ELEVATION</keyword>
<keyword>CONTROL</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Hillsborough County makes no warranty, representation or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the information provided herein. The reader should not rely on the data provided herein for any reason. Hillsborough County explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. Hillsborough County shall assume no liability for: 1. Any errors, omissions, or inaccuracies in the information provided regardless of how caused; or 2. Any decision made or action taken or not taken by any person in reliance upon any information or data furnished hereunder. This dataset is provided by Hillsborough County for informational purposes and Hillsborough County does not guarantee the accuracy or content of the data. Hillsborough County is not liable for any deficiencies in the dataset or analyses/applications using the dataset. This data should not be construed as legal advice or legal opinion on any specific facts or circumstances. The contents are intended for general information purposes only, and you are urged to consult your own lawyer concerning your own situation and any specific questions you may have. Infrastructure records, drawings, and other documents have been gathered over many decades, using differing standards for quality control, documentation and verification. All of the data provided represents current information in a readily available format. While the data is generally believed to be accurate, occasionally it proves to be incorrect; thus its accuracy is not warranted. Prior to making any property purchases or investments, or taking any other action based in full or in part upon the material provided, it is specifically advised that you independently field verify the information contained in county records.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataLang>
<languageCode value="eng"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>1</exTypeCode>
<westBL>-82.765474</westBL>
<eastBL>-82.055051</eastBL>
<southBL>27.586479</southBL>
<northBL>28.174123</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="006"/>
</tpCat>
<tpCat>
<TopicCatCd value="008"/>
</tpCat>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
<tpCat>
<TopicCatCd value="017"/>
</tpCat>
<tpCat>
<TopicCatCd value="019"/>
</tpCat>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdLang>
<languageCode value="eng"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdDateSt Sync="TRUE">20250430</mdDateSt>
<mdContact>
<rpIndName>Hillsborough County</rpIndName>
<rpOrgName>Performance, Data, &amp; Analytics Department</rpOrgName>
<rpPosName>Information &amp; Innovation Office</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>601 E. Kennedy Blvd.</delPoint>
<city>Tampa</city>
<adminArea>FL</adminArea>
<postCode>33602</postCode>
<eMailAdd>gis-support@hillsboroughcounty.org</eMailAdd>
</cntAddress>
</rpCntInfo>
</mdContact>
</metadata>
