<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20220516</CreaDate>
        <CreaTime>10111900</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">Curb_Ramp_Validation</itemName>
                <imsContentType Sync="TRUE" export="False">002</imsContentType>
                <nativeExtBox>
                    <westBL Sync="TRUE">-10309178.493300</westBL>
                    <eastBL Sync="TRUE">9787017.496300</eastBL>
                    <southBL Sync="TRUE">5235955.327000</southBL>
                    <northBL Sync="TRUE">5897093.415600</northBL>
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                </nativeExtBox>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Projected</type>
                <geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
                <csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
                <projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</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/10.7'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&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;0.001&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20220516</SyncDate>
        <SyncTime>10113500</SyncTime>
        <ModDate>20220516</ModDate>
        <ModTime>10125200</ModTime>
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
        <ArcGISProfile>FGDC</ArcGISProfile>
        <ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="FALSE">Curb Ramp Validation</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
            <date>
                <pubDate>2022-05-10T00:00:00</pubDate>
                <createDate>2022-05-10T00:00:00</createDate>
            </date>
            <citRespParty>
                <rpIndName>Glen Ausse</rpIndName>
                <rpOrgName>WisDOT</rpOrgName>
                <rpPosName>Advanced Urban &amp; Regional Planner</rpPosName>
                <role>
                    <RoleCd value="006"/>
                </role>
                <rpCntInfo>
                    <cntAddress addressType="both">
                        <delPoint>4822 Madison Yards Way</delPoint>
                        <city>Madison</city>
                        <adminArea>WI</adminArea>
                        <postCode>53705</postCode>
                        <eMailAdd>glen.ausse@dot.wi.gov</eMailAdd>
                    </cntAddress>
                    <cntPhone>
                        <voiceNum tddtty="">608-267-9887</voiceNum>
                    </cntPhone>
                </rpCntInfo>
            </citRespParty>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <dataExt>
            <geoEle>
                <GeoBndBox esriExtentType="search">
                    <exTypeCode Sync="TRUE">1</exTypeCode>
                    <westBL Sync="TRUE">-92.608926</westBL>
                    <eastBL Sync="TRUE">87.918274</eastBL>
                    <northBL Sync="TRUE">46.723715</northBL>
                    <southBL Sync="TRUE">42.498553</southBL>
                </GeoBndBox>
            </geoEle>
            <exDesc>Used during construction seasons (typically April - November)</exDesc>
            <tempEle>
                <TempExtent>
                    <exTemp>
                        <TM_Period>
                            <tmBegin>2022-04-01T00:00:00</tmBegin>
                            <tmEnd>2022-11-30T00:00:00</tmEnd>
                        </TM_Period>
                    </exTemp>
                </TempExtent>
            </tempEle>
        </dataExt>
        <idPurp>Production inventory of curb ramps locations along the State Trunk Network (STN) that have been field checked</idPurp>
        <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The curb ramp validation layer contains data on curb ramp locations along the State Trunk Network (STN) including connecting highways in Wisconsin. The layer was developed in 2019 and is updated continuously. The layer consists of curb ramp locations that have been checked by a crew in the field. The verification process includes the collection of GPS location and ramp characteristics (measured widths, slopes, colors, etc.). Data is entered into the layer via a Survey123 form.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The curb ramp validation layer compliments the curb ramp statewide inventory developed in 2014/2015 using WisDOT Photo Log and Google Earth satellite images. Together, the curb ramp statewide inventory and the curb ramp validation layer provide a statewide snapshot of currently identified curb ramp locations on the STN.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;It is not recommended to use the curb ramp validation layer for project design or construction.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Note: As existing curb ramp locations are field verified, they are removed from the statewide inventory layer as part of a yearly update process (typically in the spring following the previous construction season).&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;For questions, contact DOTCurbRampDataCollection@dot.wi.gov&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>Wisconsin Department of Transportation (WisDOT), Bureau of Planing and Economic Development (BPED), Planning Unit</idCredit>
        <searchKeys>
            <keyword>curb</keyword>
            <keyword>curb ramps</keyword>
            <keyword>ramps</keyword>
            <keyword>ADA</keyword>
            <keyword>WisDOT</keyword>
            <keyword>Wisconsin Department of Transportation</keyword>
            <keyword>Division of Transportation System Development (DTSD)</keyword>
            <keyword>Division of Transportation Investment Management (DTIM)</keyword>
            <keyword>ramp</keyword>
        </searchKeys>
        <resConst>
            <LegConsts>
                <useLimit>See WisDOT Maps legal notices, disclaimer and terms of use at:
https://wisconsindot.gov/Documents/doing-bus/gis/WisDOT-GIS-Data-Legal-062021.pdf</useLimit>
            </LegConsts>
            <Consts>
                <useLimit>&lt;p style='margin-top:0px; margin-bottom:1.5rem; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;The information shown on this map has been obtained from various sources, and are of varying age, reliability and resolution. This map is not intended to be used for navigation, nor are these maps an authoritative source of information about legal land ownership, property boundaries, locations of utilities or public access. No warranty, expressed or implied, is made regarding accuracy, applicability for a particular use, completeness, or legality of the information herein. Additional terms of use including access, legal or other constraints may be defined in the source Metadata.&lt;br /&gt;&lt;/p&gt;&lt;p style='margin-top:0px; margin-bottom:1.5rem; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;&lt;a href='https://wisdot.maps.arcgis.com/sharing/rest/content/items/d8b9a8a652c34fbfa3eb3003d1ad7b16/data' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:&amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, Helvetica, Arial, sans-serif; font-size:15px;' target='_blank' rel='nofollow ugc noopener noreferrer'&gt;WisDOT Legal Notices, Disclaimer and Terms of Use&lt;/a&gt;&lt;/p&gt;</useLimit>
            </Consts>
        </resConst>
        <dataChar>
            <CharSetCd value="004"/>
        </dataChar>
        <idStatus>
            <ProgCd value="004"/>
        </idStatus>
        <resMaint>
            <maintFreq>
                <MaintFreqCd value="008"/>
            </maintFreq>
        </resMaint>
        <tpCat>
            <TopicCatCd value="018"/>
        </tpCat>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="3857"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="Curb_Ramp_Validation">
                <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="Curb_Ramp_Validation">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="1"/>
                <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="Curb_Ramp_Validation">
            <enttyp>
                <enttypl Sync="FALSE">Curb Ramp Validation</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
                <enttypd>Feature Class</enttypd>
                <enttypds>ESRI</enttypds>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID_1</attrlabl>
                <attalias Sync="FALSE">OBJECTID</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">CRType</attrlabl>
                <attalias Sync="FALSE">Curb Ramp Type</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">25</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Type of curb ramp (Type 1 - Type 8)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">InspectDat</attrlabl>
                <attalias Sync="FALSE">Collection Date</attalias>
                <attrtype Sync="TRUE">Date</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Date curb ramp data was collected
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">clrSpace</attrlabl>
                <attalias Sync="FALSE">Clear Space</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Is there a (4'x4') clear space at ramp tottom? (Yes/No/NA)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">dwfSpansRa</attrlabl>
                <attalias Sync="FALSE">Detectable Warning Field Span Width</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Does detectable warning field span the width of the ramp? (Yes/No)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">dwfPanel</attrlabl>
                <attalias Sync="FALSE">Detectable Warning Field Radial Panel</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Does ramp have detectable warning field radial panels [Yes/No/NA]
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">dwfColor</attrlabl>
                <attalias Sync="FALSE">Detectable Warning Field Color</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Color of detectable warning field (Yellow, White, Patina)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">trLip</attrlabl>
                <attalias Sync="FALSE">Transition Lip</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Is transition lip less than 1/4 inch? (Yes/No/NA)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Passcode_Question</attrlabl>
                <attalias Sync="FALSE">Passcode Question</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">20</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>In order to fill out the form in Survey123, the user needs to enter the appropriate password.  Collectors should receive this password via the yearly instructions.</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">qcDate</attrlabl>
                <attalias Sync="FALSE">Quality Control Date</attalias>
                <attrtype Sync="TRUE">Date</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Regional coordinators enter the date the record was QA/QC checked/verified
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">qcBy</attrlabl>
                <attalias Sync="FALSE">Quality Control Name</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Name of Regional coordinator who QA/QC checked the record
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">ProjectID</attrlabl>
                <attalias Sync="FALSE">Project ID</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">20</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Project ID number of project that built/modified the ramp
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">ConYear</attrlabl>
                <attalias Sync="FALSE">Construction Year</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Year of construction
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Region</attrlabl>
                <attalias Sync="TRUE">Region</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">2</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>WisDOT region that ramp is located in
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">IntRoad</attrlabl>
                <attalias Sync="FALSE">Intersecting Roadway</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">50</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Name of nearest intersecting roadway
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Email</attrlabl>
                <attalias Sync="FALSE">Email Address</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">50</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Email address of the field collector
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Phone</attrlabl>
                <attalias Sync="FALSE">Phone Number</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">15</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Phone number of the field collector
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">TechInfeasible</attrlabl>
                <attalias Sync="FALSE">Techincally Infeasible Exemption</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Indicator of whether the curb ramp uses a technically infeasible exemption? (Yes/No)</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Compliant</attrlabl>
                <attalias Sync="TRUE">Compliant</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">3</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Is the curb ramp compliant?
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">HwyName</attrlabl>
                <attalias Sync="FALSE">STH/USH Number</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">50</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Highway number that curb ramp is located along (i.e. USH 12)
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">projName</attrlabl>
                <attalias Sync="FALSE">Project Limits</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">254</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Project limits of project that built/modified the ramp
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">ConNotes</attrlabl>
                <attalias Sync="FALSE">Comments/Notes</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">254</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Construction notes, including listing the reasons why the curb ramp was not built to specs (technically infeasible).
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">InspectedB</attrlabl>
                <attalias Sync="FALSE">Collected By</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">254</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Name of person who collected curb ramp data in the field.
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">GlobalID_2</attrlabl>
                <attalias Sync="FALSE">GlobalID</attalias>
                <attrtype Sync="TRUE">GlobalID</attrtype>
                <attwidth Sync="TRUE">38</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Autogenerated ID from feature</attrdef>
                <attrdefs>ESRI</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">oWidth</attrlabl>
                <attalias Sync="FALSE">Ramp Opening Width</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Ramp opening width
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">rSlope</attrlabl>
                <attalias Sync="FALSE">Ramp Running Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Running Slope of ramp
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">cSlope</attrlabl>
                <attalias Sync="FALSE">Ramp Cross Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Cross Slope of Ramp
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">fSlopeL</attrlabl>
                <attalias Sync="FALSE">Left Flare Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Slope of ramp's left flare
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">fSlopeR</attrlabl>
                <attalias Sync="FALSE">Right Flare Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Slope of ramp's right flare
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Rollover</attrlabl>
                <attalias Sync="TRUE">Rollover</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Rollover measurement of ramp
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">gCntrSlope</attrlabl>
                <attalias Sync="FALSE">Gutter Counter Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Gutter counter slope
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">llWidth</attrlabl>
                <attalias Sync="FALSE">Level Landing Width</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Width of the level landing area
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">llDepth</attrlabl>
                <attalias Sync="FALSE">Level Landing Depth</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Depth of the level landing area
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">llCross</attrlabl>
                <attalias Sync="FALSE">Level Landing Cross Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Cross slope of the level landing
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">gFlowSlope</attrlabl>
                <attalias Sync="FALSE">Gutter Flowline Slope</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef>Gutter flow slope
</attrdef>
                <attrdefs>WisDOT</attrdefs>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20220516</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
        </Thumbnail>
    </Binary>
    <mdChar>
        <CharSetCd value="004"/>
    </mdChar>
    <mdContact>
        <editorSource>external</editorSource>
        <editorDigest>ee355e53e9daa82697080ce2eee15f4</editorDigest>
        <rpIndName>Glen Ausse</rpIndName>
        <rpOrgName>WisDOT</rpOrgName>
        <rpPosName>Advanced Urban &amp; Regional Planner</rpPosName>
        <rpCntInfo>
            <cntAddress addressType="both">
                <delPoint>4822 Madison Yards Way</delPoint>
                <city>Madison</city>
                <adminArea>WI</adminArea>
                <postCode>53705</postCode>
                <eMailAdd>glen.ausse@dot.wi.gov</eMailAdd>
            </cntAddress>
            <cntPhone>
                <voiceNum tddtty="">608-267-9887</voiceNum>
            </cntPhone>
        </rpCntInfo>
        <editorSave>True</editorSave>
        <displayName>Glen Ausse</displayName>
        <role>
            <RoleCd value="006"/>
        </role>
    </mdContact>
    <mdMaint>
        <maintFreq>
            <MaintFreqCd value="008"/>
        </maintFreq>
        <dateNext>2023-02-01T00:00:00</dateNext>
        <maintCont>
            <editorSource>external</editorSource>
            <editorDigest>ee355e53e9daa82697080ce2eee15f4</editorDigest>
            <rpIndName>Glen Ausse</rpIndName>
            <rpOrgName>WisDOT</rpOrgName>
            <rpPosName>Advanced Urban &amp; Regional Planner</rpPosName>
            <rpCntInfo>
                <cntAddress addressType="both">
                    <delPoint>4822 Madison Yards Way</delPoint>
                    <city>Madison</city>
                    <adminArea>WI</adminArea>
                    <postCode>53705</postCode>
                    <eMailAdd>glen.ausse@dot.wi.gov</eMailAdd>
                </cntAddress>
                <cntPhone>
                    <voiceNum tddtty="">608-267-9887</voiceNum>
                </cntPhone>
            </rpCntInfo>
            <editorSave>True</editorSave>
            <displayName>Glen Ausse</displayName>
            <role>
                <RoleCd value="002"/>
            </role>
        </maintCont>
    </mdMaint>
    <mdContact>
        <rpIndName>Dan Johnston</rpIndName>
        <rpOrgName>WisDOT, DTSD</rpOrgName>
        <rpPosName>Data Coordinator</rpPosName>
        <rpCntInfo>
            <cntAddress addressType="physical">
                <delPoint>1681 2nd Ave S</delPoint>
                <city>Wisconsin Rapids</city>
                <adminArea>Wisconsin</adminArea>
                <postCode>54495</postCode>
                <eMailAdd>daniel.johnston@dot.wi.gov</eMailAdd>
                <country>US</country>
            </cntAddress>
            <cntPhone>
                <voiceNum tddtty="">715-315-2432</voiceNum>
            </cntPhone>
        </rpCntInfo>
        <displayName>Dan Johnston</displayName>
        <displayName>Dan Johnston</displayName>
        <role>
            <RoleCd value="001"/>
        </role>
    </mdContact>
    <mdConst>
        <LegConsts>
            <useLimit>See WisDOT Maps legal notices, disclaimer and terms of use at:
https://wisconsindot.gov/Documents/doing-bus/gis/WisDOT-GIS-Data-Legal-062021.pdf</useLimit>
        </LegConsts>
    </mdConst>
</metadata>