<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20190820</CreaDate>
        <CreaTime>16095800</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">MiamiSignSample</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
                <itemSize Sync="TRUE">0.000</itemSize>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Projected</type>
                <geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
                <csUnits Sync="TRUE">Linear Unit: US survey foot (0.304801)</csUnits>
                <projcsn Sync="TRUE">NAD83 / Florida East (ftUS)</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/2.8.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD83 / Florida East (ftUS)&amp;quot;,GEOGCS[&amp;quot;NAD83&amp;quot;,DATUM[&amp;quot;North_American_Datum_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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;false_easting&amp;quot;,656166.667],PARAMETER[&amp;quot;false_northing&amp;quot;,0.0],PARAMETER[&amp;quot;central_meridian&amp;quot;,-81.0],PARAMETER[&amp;quot;scale_factor&amp;quot;,0.999941177],PARAMETER[&amp;quot;latitude_of_origin&amp;quot;,24.33333333333333],UNIT[&amp;quot;US survey foot&amp;quot;,0.3048006096012192]]&lt;/WKT&gt;&lt;XOrigin&gt;-17791300&lt;/XOrigin&gt;&lt;YOrigin&gt;-41645400&lt;/YOrigin&gt;&lt;XYScale&gt;137249422.94257641&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;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;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20211230</SyncDate>
        <SyncTime>13004300</SyncTime>
        <ModDate>20211230</ModDate>
        <ModTime>13004300</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="FALSE">Esri ArcGIS 12.8.3.29751</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">MiamiSignSample</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs/>
        <searchKeys>
            <keyword>Test</keyword>
        </searchKeys>
        <idPurp>sample for testing</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">Shapefile</formatName>
        </distFormat>
        <distTranOps>
            <transSize Sync="TRUE">0.000</transSize>
        </distTranOps>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="0"/>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="MiamiSignSample">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="004"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="MiamiSignSample">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="1"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">0</efeacnt>
                <spindex Sync="TRUE">FALSE</spindex>
                <linrefer Sync="TRUE">TRUE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
    <eainfo>
        <detailed Name="MiamiSignSample">
            <enttyp>
                <enttypl Sync="TRUE">MiamiSignSample</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">FID</attrlabl>
                <attalias Sync="TRUE">FID</attalias>
                <attrtype Sync="TRUE">OID</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</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">0</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">id</attrlabl>
                <attalias Sync="TRUE">id</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">featureTy</attrlabl>
                <attalias Sync="TRUE">featureTy</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">16</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">defID</attrlabl>
                <attalias Sync="TRUE">defID</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">latitude</attrlabl>
                <attalias Sync="TRUE">latitude</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">longitude</attrlabl>
                <attalias Sync="TRUE">longitude</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">altitude</attrlabl>
                <attalias Sync="TRUE">altitude</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">19</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Support_T</attrlabl>
                <attalias Sync="TRUE">Support_T</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">17</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Support_P</attrlabl>
                <attalias Sync="TRUE">Support_P</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">16</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Sign_Type</attrlabl>
                <attalias Sync="TRUE">Sign_Type</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">16</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20211230</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>