<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20160627</CreaDate>
<CreaTime>14282600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Welland-Canal-1837-NMC-11848col_a7-geo.tif</itemName>
<nativeExtBox>
<westBL Sync="TRUE">643331.305406</westBL>
<eastBL Sync="TRUE">648180.407761</eastBL>
<southBL Sync="TRUE">4770154.748991</southBL>
<northBL Sync="TRUE">4775212.235255</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_UTM_Zone_17N</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/10.4'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_UTM_Zone_17N&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_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;,500000.0],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;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26917]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&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;26917&lt;/WKID&gt;&lt;LatestWKID&gt;26917&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">16</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">256</NoDataValue>
</General>
</RasterProperties>
</DataProperties>
<SyncDate>20160630</SyncDate>
<SyncTime>15265000</SyncTime>
<ModDate>20160630</ModDate>
<ModTime>15271100</ModTime>
<scaleRange>
<minScale>50000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>NAP</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng">
</languageCode>
<countryCode value="CA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdContact>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Maps, Data &amp; GIS</displayName>
</mdContact>
<dataIdInfo>
<idPurp>Historical map images for GIS applications.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Historical map showing the First and Second Welland Canal, locks, lift elevations, townships, roads, towing paths and bridges.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Digital reproduction of map (59 x 549 cm.) in the Public Archives of Canada. National Map Collection. Library and Archives Canada.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Relief shown by shading.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Georeferenced and modified from LAC e011168620 by Map, Data and GIS Library, Brock University. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Map, Data &amp; GIS Library, Brock University.</idCredit>
<idCitation>
<resTitle Sync="FALSE">Welland Canal from actual survey [part 7]</resTitle>
<resAltTitle>Scanned image of 1837 map of the Welland Canal</resAltTitle>
<collTitle>Historical Maps of Niagara</collTitle>
<date>
<createDate>2016-06-27T00:00:00</createDate>
</date>
<otherCitDet>Described in: Mapping Upper Canada, 1780-1867 / Joan Winearls. 1991. Reference no.: 767 (2)</otherCitDet>
<citRespParty>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
</rpCntInfo>
</citRespParty>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
<PresFormCd value="003">
</PresFormCd>
</presForm>
</idCitation>
<searchKeys>
<keyword>Canada</keyword>
<keyword>Ontario</keyword>
<keyword>Niagara</keyword>
<keyword>historical</keyword>
<keyword>map</keyword>
<keyword>maps</keyword>
<keyword>Niagara River</keyword>
<keyword>Welland Canal</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;No restrictions.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<placeKeys>
<thesaLang>
<languageCode value="eng">
</languageCode>
<countryCode value="CA">
</countryCode>
</thesaLang>
<keyword>Canada, Ontario, Niagara, Niagara River, Welland Canal</keyword>
</placeKeys>
<themeKeys>
<thesaLang>
<languageCode value="eng">
</languageCode>
<countryCode value="CA">
</countryCode>
</thesaLang>
<keyword>Historical, canal</keyword>
</themeKeys>
<dataChar>
<CharSetCd value="004">
</CharSetCd>
</dataChar>
<dataLang>
<languageCode value="eng">
</languageCode>
<countryCode value="CA">
</countryCode>
</dataLang>
<idPoC>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Maps, Data &amp; GIS</displayName>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009">
</MaintFreqCd>
</maintFreq>
<maintCont>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Maps, Data &amp; GIS</displayName>
</maintCont>
</resMaint>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686</envirDesc>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-79.239517</westBL>
<eastBL Sync="TRUE">-79.178638</eastBL>
<northBL Sync="TRUE">43.116084</northBL>
<southBL Sync="TRUE">43.069631</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<tpCat>
<TopicCatCd value="012">
</TopicCatCd>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009">
</MaintFreqCd>
</maintFreq>
<maintCont>
<rpIndName>Maps, Data &amp; GIS</rpIndName>
<rpOrgName>Brock University</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>1812 Sir Isaac Brock Way</delPoint>
<city>St. Catharines</city>
<adminArea>Ontario</adminArea>
<postCode>L2S 3A1</postCode>
<country>CA</country>
<eMailAdd>maplib@brocku.ca</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum>(905) 688-5550 ext. 5890</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Maps, Data &amp; GIS</displayName>
</maintCont>
</mdMaint>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;No restrictions&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<spatRepInfo>
<Georect>
<axisDimension type="002">
<dimSize Sync="TRUE">5515</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.879257</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">5752</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">0.879257</value>
</dimResol>
</axisDimension>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002">
</CellGeoCd>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">643331.305406 4770154.748991</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">643331.305406 4775212.235255</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">648180.407761 4775212.235255</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">648180.407761 4770154.748991</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">645755.856584 4772683.492123</pos>
</centerPt>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001">
</PixOrientCd>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<attDesc>Scanned map </attDesc>
<trianInd>False</trianInd>
<radCalDatAv>False</radCalDatAv>
<camCalInAv>False</camCalInAv>
<filmDistInAv>False</filmDistInAv>
<lensDistInAv>False</lensDistInAv>
<covDim>
<Band>
<valUnit>
<UOM type="length">
</UOM>
</valUnit>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">250.000000</maxVal>
<minVal Sync="TRUE">33.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
</Band>
<Band>
<valUnit>
<UOM type="length">
</UOM>
</valUnit>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">234.000000</maxVal>
<minVal Sync="TRUE">35.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
</Band>
<Band>
<valUnit>
<UOM type="length">
</UOM>
</valUnit>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">217.000000</maxVal>
<minVal Sync="TRUE">37.000000</minVal>
<bitsPerVal Sync="TRUE">16</bitsPerVal>
</Band>
</covDim>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001">
</ContentTypCd>
</contentTyp>
</ImgDesc>
</contInfo>
<dataSetURI>withheld</dataSetURI>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26917">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.13(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<mdDateSt Sync="TRUE">20160630</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
<mdFileID>AE9A66EC-CBE9-457E-A378-87130E59C457</mdFileID>
</metadata>
