<?xml version="1.0" encoding="UTF-8"?><metadata>
<idinfo>
<citation>
<citeinfo>
<origin>BLM State Office</origin>
<pubdate>REQUIRED: The date when the data set is published or otherwise made available for release.</pubdate>
<title Sync="TRUE">ConflictedAreas</title>
<geoform Sync="TRUE">vector digital data</geoform>
<ftname Sync="TRUE">ConflictedAreas</ftname>
<onlink>withheld</onlink>
</citeinfo>
</citation>
<descript>
<abstract>The conflicted areas feature class is a depiction of known overlaps or gaps resulting from two or more different surveys of the same area, this may also include an indication of canceled or suspended surveys</abstract>
<purpose>The purpose of this feature class is to inform PLSS CadNSDI users on existing conflicted areas, and give the data stewards a cartographic basis for starting discussions to possibly resolve the survey conflict</purpose>
<langdata Sync="TRUE">en</langdata>
</descript>
<timeperd>
<timeinfo>
<sngdate>
<caldate>201003</caldate>
</sngdate>
</timeinfo>
<current>REQUIRED: The basis on which the time period of content information is determined.</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>As needed</update>
</status>
<spdom>
<bounding>
<westbc>REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude.</westbc>
<eastbc>REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude.</eastbc>
<northbc>REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude.</northbc>
<southbc>REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude.</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>FGDC Data Content Standard</themekt>
<themekey>Cadastral</themekey>
</theme>
<place>
<placekey>United States</placekey>
</place>
<place>
<placekey>USA</placekey>
</place>
</keywords>
<accconst>none</accconst>
<native Sync="FALSE">ESRI ArcCatalog 9.3.0.1770</native>
<natvform Sync="TRUE">Personal GeoDatabase Feature Class</natvform>
</idinfo>
<dataqual>
<lineage>
<procstep>
<procdesc>For the process steps, go to www.nationalcad.org</procdesc>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20101215</procdate>
<proctime Sync="TRUE">14071600</proctime>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="CAD_NSDI_ConflictedAreas_PUB_GCDB_POLY">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geodetic>
<horizdn Sync="TRUE">D_WGS_1984</horizdn>
<ellips Sync="TRUE">WGS_1984</ellips>
<semiaxis Sync="TRUE">6378137.000000</semiaxis>
<denflat Sync="TRUE">298.257224</denflat>
</geodetic>
<cordsysn>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
</cordsysn>
</horizsys>
<vertdef>
<altsys>
<altres Sync="TRUE">0.000003</altres>
<altenc Sync="TRUE">Explicit elevation coordinate included with horizontal coordinates</altenc>
</altsys>
</vertdef>
</spref>
<eainfo>
<detailed Name="CAD_NSDI_ConflictedAreas_PUB_GCDB_POLY">
<enttyp>
<enttypl Sync="TRUE">CAD_NSDI_ConflictedAreas_PUB_GCDB_POLY</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
<enttypd>These are areas of known gaps or overlaps between PLSS areas or parcel areas.</enttypd>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<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>
</attr>
<attr>
<attrlabl>COMMENT</attrlabl>
<attrdef>Description of the type of conflict such as gap or overlap or known irregularity.</attrdef>
<attalias Sync="TRUE">Comment on Conflicted Area</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>STEWARD1</attrlabl>
<attrdef>Primary conflicted areas data steward</attrdef>
<attalias Sync="TRUE">Data Steward</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>STEWARD2</attrlabl>
<attrdef>Second conflicted areas data steward</attrdef>
<attalias Sync="TRUE">Second Data Steward</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE_Length</attrlabl>
<attrdef>Length of feature in internal units.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Positive real numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE_Area</attrlabl>
<attrdef>Area of feature in internal units squared.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Positive real numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
<overview>
<eaover>These are areas of known gaps or overlaps between PLSS areas or parcel areas.
</eaover>
</overview>
</eainfo>
<distinfo>
<resdesc>Downloadable Data</resdesc>
</distinfo>
<metainfo>
<metd Sync="TRUE">20100505</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>REQUIRED: The organization responsible for the metadata information.</cntorg>
<cntper>REQUIRED: The person responsible for the metadata information.</cntper>
</cntorgp>
<cntaddr>
<addrtype>REQUIRED: The mailing and/or physical address for the organization or individual.</addrtype>
<city>REQUIRED: The city of the address.</city>
<state>REQUIRED: The state or province of the address.</state>
<postal>REQUIRED: The ZIP or other postal code of the address.</postal>
</cntaddr>
<cntvoice>REQUIRED: The telephone number by which individuals can speak to the organization or individual.</cntvoice>
</cntinfo>
</metc>
<metstdn Sync="TRUE">FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv Sync="TRUE">FGDC-STD-001-1998</metstdv>
<mettc Sync="TRUE">local time</mettc>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
<langmeta Sync="TRUE">en</langmeta>
</metainfo>
<Esri>
<CreaDate>20260129</CreaDate>
<CreaTime>10311300</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20260129</SyncDate>
<SyncTime>08444200</SyncTime>
<ModDate>20260317</ModDate>
<ModTime>15343200</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">CAD_NSDI_ConflictedAreas_PUB_GCDB_POLY</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<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/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_Idaho_TM&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;,2500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,1200000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-114.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,42.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,8826]]&lt;/WKT&gt;&lt;XOrigin&gt;-3120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-13447900&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;102605&lt;/WKID&gt;&lt;LatestWKID&gt;8826&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_Idaho_TM</projcsn>
</coordRef>
</DataProperties>
<ArcGISFormat>1.0</ArcGISFormat>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<dataIdInfo>
<placeKeys>
<thesaName>
<resTitle>BLM-STATE</resTitle>
</thesaName>
<keyword>Idaho</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>BLM-THEME</resTitle>
</thesaName>
<keyword>Geospatial</keyword>
<keyword>Management</keyword>
<keyword>Range</keyword>
</themeKeys>
<descKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>002</keyword>
</descKeys>
<themeKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>BLM</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Cadastral</keyword>
<keyword>Cadastral Reference</keyword>
<keyword>CADNSDI</keyword>
<keyword>DOI</keyword>
<keyword>GCDB</keyword>
<keyword>General Land Office</keyword>
<keyword>Geographic Coordinate Data Base</keyword>
<keyword>GLO</keyword>
<keyword>National Spatial Data Infrastructure</keyword>
<keyword>NSDI</keyword>
<keyword>Parcels</keyword>
<keyword>PLSS</keyword>
<keyword>PLSS Corners</keyword>
<keyword>PLSS Divisions</keyword>
<keyword>PLSS Sections</keyword>
<keyword>PLSS Special Surveys</keyword>
<keyword>Public Land Survey System</keyword>
<keyword>Section</keyword>
<keyword>Township</keyword>
<keyword>US Department of the Interior</keyword>
</themeKeys>
<otherKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>002</keyword>
</otherKeys>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-117.398795</westBL>
<eastBL>-110.705049</eastBL>
<northBL>48.873021</northBL>
<southBL>41.912703</southBL>
</GeoBndBox>
</geoEle>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>20260317</tmPosition>
</TM_Instant>
<TM_Period>
<tmBegin>20260317</tmBegin>
<tmEnd>20260317</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.5.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" country="USA" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">BLM ID CADNSDI PLSS Conflicted Areas</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<citRespParty>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<date>
<pubDate>20260317</pubDate>
</date>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpIndName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpIndName>Bureau of Land Management</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>The purpose of this feature class is to inform PLSS CadNSDI users on existing conflicted areas, and give the data stewards a cartographic basis for starting discussions to possibly resolve the survey conflict.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;P&gt;&lt;SPAN&gt;The conflicted areas feature class is a depiction of known overlaps or gaps resulting from two or more different surveys of the same area, this may also include an indication of canceled or suspended surveys. For more information contact us at blm_id_infoaccesscenter@blm.gov.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>002</keyword>
<keyword>BLM</keyword>
<keyword>boundaries</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Cadastral</keyword>
<keyword>Cadastral Reference</keyword>
<keyword>CADNSDI</keyword>
<keyword>DOI</keyword>
<keyword>GCDB</keyword>
<keyword>General Land Office</keyword>
<keyword>Geographic Coordinate Data Base</keyword>
<keyword>Geospatial</keyword>
<keyword>GLO</keyword>
<keyword>Idaho</keyword>
<keyword>Management</keyword>
<keyword>National Spatial Data Infrastructure</keyword>
<keyword>NSDI</keyword>
<keyword>Parcels</keyword>
<keyword>planningCadastre</keyword>
<keyword>PLSS</keyword>
<keyword>PLSS Corners</keyword>
<keyword>PLSS Divisions</keyword>
<keyword>PLSS Sections</keyword>
<keyword>PLSS Special Surveys</keyword>
<keyword>Public Land Survey System</keyword>
<keyword>Range</keyword>
<keyword>Section</keyword>
<keyword>Township</keyword>
<keyword>US Department of the Interior</keyword>
</searchKeys>
<idCredit>Bureau of Land Management (BLM), Idaho State Office</idCredit>
<resConst>
<Consts>
<useLimit>These data are provided by Bureau of Land Management (BLM) 'as is' and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.</useLimit>
</Consts>
<LegConsts>
<useLimit>The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.</useLimit>
<othConsts>None, these data are considered public domain.</othConsts>
</LegConsts>
</resConst>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</idPoC>
<idPoC>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</idPoC>
<tpCat>
<TopicCatCd value="003"/>
</tpCat>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<distInfo>
<distributor>
<distorTran>
<onLineSrc>
<orDesc Sync="TRUE">002</orDesc>
<linkage Sync="FALSE">withheld</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</onLineSrc>
</distorTran>
<distorFormat>
<formatName Sync="TRUE">Personal GeoDatabase Feature Class</formatName>
</distorFormat>
<distorCont>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</distorCont>
</distributor>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<onLineSrc>
<linkage>https://gbp-blm-egis.hub.arcgis.com/pages/idaho</linkage>
</onLineSrc>
</distTranOps>
</distInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="8826">GCS_WGS_1984</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">9.5.1(10.8.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="CAD_NSDI_ConflictedAreas_PUB_GCDB_POLY">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<mdDateSt Sync="TRUE">20260317</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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==</Data>
</Thumbnail>
</Binary>
<dqInfo>
<report type="DQConcConsis">
<measDesc>This dataset is used to create a national dataset via aggregation from multiple datasets provided by the BLM Administrative States. Please call the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>This dataset is used to create a national dataset via aggregation from multiple datasets provided by the BLM Administrative States. Please call the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets.</measDesc>
</report>
<report type="DQQuanAttAcc">
<measDesc>This dataset is used to create a national dataset via aggregation from multiple datasets provided by the BLM Administrative States. Please call the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets.</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>This dataset is used to create a national dataset via aggregation from multiple datasets provided by the BLM Administrative States. Please call the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDateTm>20260317</stepDateTm>
<stepProc>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</stepProc>
<stepDesc>Using the implementation guidelines, cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets.</stepDesc>
</prcStep>
</dataLineage>
</dqInfo>
<mdMaint>
<maintNote>Last metadata review date: 20260317</maintNote>
</mdMaint>
<mdContact>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>blm_id_infoaccesscenter@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</mdContact>
</metadata>
