<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20220105</CreaDate>
<CreaTime>05324700</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<ModDate>20170621</ModDate>
<ModTime>10583100</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">hyd_stream</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">228270.333333</westBL>
<eastBL Sync="TRUE">2367063.508202</eastBL>
<southBL Sync="TRUE">-24908.483268</southBL>
<northBL Sync="TRUE">1743862.508202</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot (0.304800)</csUnits>
<projcsn Sync="TRUE">NAD_1983_Oregon_Statewide_Lambert_Feet_Intl</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/10.3'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&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;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1312335.958005249],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,43.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,45.5],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,41.75],UNIT[&amp;quot;Foot&amp;quot;,0.3048],AUTHORITY[&amp;quot;EPSG&amp;quot;,2992]]&lt;/WKT&gt;&lt;XOrigin&gt;-118489100&lt;/XOrigin&gt;&lt;YOrigin&gt;-97381100&lt;/YOrigin&gt;&lt;XYScale&gt;3048&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;99999.999999999985&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808398950131233&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;2992&lt;/WKID&gt;&lt;LatestWKID&gt;2992&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20170621</SyncDate>
<SyncTime>10575200</SyncTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISProfile>FGDC</ArcGISProfile>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
<metainfo>
<metd Sync="TRUE">20110118</metd>
</metainfo>
<mdDateSt Sync="TRUE">20170621</mdDateSt>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 10.3.1.4959</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Oregon Rivers and Streams</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<resEdDate>20140201</resEdDate>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-124.800758</westBL>
<eastBL Sync="TRUE">-116.315429</eastBL>
<northBL Sync="TRUE">46.533338</northBL>
<southBL Sync="TRUE">41.609948</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<searchKeys>
<keyword>Oregon</keyword>
<keyword>hydrography</keyword>
<keyword>rivers</keyword>
<keyword>streams</keyword>
</searchKeys>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Portrays rivers and streams. Compiled by the Pacific Northwest Hydrography Framework partnership in Oregon and Washington states. Based on the whole stream LLID (Latitude-Longitude IDentifier).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Pacific Northwest Hydrography Framework, Oregon Water Resources Department.</idCredit>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<dataScale>
<equScale>
<rfDenom>24000</rfDenom>
</equScale>
</dataScale>
<idPurp>Last version of the PNW Hydro LLID-based streams/rivers data, 2006. This theme has been replaced with the NHD (National Hydrography Dataset).</idPurp>
<tpCat>
<TopicCatCd value="012"/>
</tpCat>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2992"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.6.2</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="hyd_stream">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">711647</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="hyd_stream">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">711647</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="hyd_stream">
<enttyp>
<enttypl Sync="FALSE">hyd_stream</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">711647</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</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">wc_llid_nr</attrlabl>
<attalias Sync="TRUE">wc_llid_nr</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">13</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">wc_gnis_nm</attrlabl>
<attalias Sync="TRUE">wc_gnis_nm</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">wc_gnis_nr</attrlabl>
<attalias Sync="TRUE">wc_gnis_nr</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">streamcode</attrlabl>
<attalias Sync="TRUE">streamcode</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">31</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</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">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
</metadata>
