<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260129</CreaDate>
<CreaTime>10391200</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20260129</SyncDate>
<SyncTime>08474600</SyncTime>
<ModDate>20260311</ModDate>
<ModTime>12574600</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">CAD_NSDI_PLSSSpecialSurvey_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>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<ArcGISFormat>1.0</ArcGISFormat>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<idinfo>
<descript>
<abstract>Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels</abstract>
<purpose>These are the graphic representations of non-rectangular components of the Pubic Land Survey System such as Tracts and Mineral Surveys. </purpose>
<langdata Sync="TRUE">en</langdata>
</descript>
<keywords>
<theme>
<themekt>ESRI Data Models</themekt>
<themekey>Cadastral</themekey>
</theme>
</keywords>
<spdom>
<bounding>
<westbc>NaN</westbc>
<eastbc>NaN</eastbc>
<northbc>NaN</northbc>
<southbc>NaN</southbc>
</bounding>
</spdom>
<native Sync="FALSE">ESRI ArcCatalog 9.3.1.4000</native>
<citation>
<citeinfo>
<origin>REQUIRED: The name of an organization or individual that developed the data set.</origin>
<pubdate>REQUIRED: The date when the data set is published or otherwise made available for release.</pubdate>
<title Sync="TRUE">PLSSSpecialSurvey</title>
<ftname Sync="TRUE">PLSSSpecialSurvey</ftname>
<geoform Sync="TRUE">vector digital data</geoform>
<onlink Sync="FALSE">withheld</onlink>
</citeinfo>
</citation>
<timeperd>
<current>REQUIRED: The basis on which the time period of content information is determined.</current>
<timeinfo>
<sngdate>
<caldate>REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.</caldate>
</sngdate>
</timeinfo>
</timeperd>
<natvform Sync="TRUE">File Geodatabase Feature Class</natvform>
</idinfo>
<eainfo>
<detailed Name="CAD_NSDI_PLSSSpecialSurvey_PUB_GCDB_POLY">
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<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>
<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">SURVLAB</attrlabl>
<attalias Sync="TRUE">Survey Label</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Label that is used for cartographic output or web display.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVNOTE</attrlabl>
<attalias Sync="TRUE">Survey Note</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Notes about the polygon feature that are important for using or understanding the feature. From the BLM SurvNotes are A = Approximate Acreage, C = Conflict or Questionable, D = Non-added Acreage, R = replaced</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVSUF</attrlabl>
<attalias Sync="TRUE">Survey Suffix</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Special survey suffix designation that makes the identification of the area unique.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVTYP</attrlabl>
<attalias Sync="TRUE">Survey Type Code</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="FALSE">Code for the type of special survey.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVTYPTXT</attrlabl>
<attalias Sync="TRUE">Survey Type Text</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Special survey type text description.</attrdef>
</attr>
<enttyp>
<enttypl Sync="TRUE">CAD_NSDI_PLSSSpecialSurvey_PUB_GCDB_POLY</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
<enttypd>Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels</enttypd>
</enttyp>
<attr>
<attrlabl Sync="TRUE">SHAPE_Length</attrlabl>
<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>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE_Area</attrlabl>
<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>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVNO</attrlabl>
<attalias Sync="TRUE">Survey Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Special survey number or designator that identifies the special survey polygon</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVID</attrlabl>
<attalias Sync="TRUE">Survey Identifier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Unique identifier for a PLSS Special Survey feature</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVDIV</attrlabl>
<attalias Sync="TRUE">Special Survey Division</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The name or designation for any division of a PLSS Special Survey such as Lot in a Tract</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SOURCEREF</attrlabl>
<attalias Sync="TRUE">Source Doc Link or Reference</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The reference to the source document could be a reference to a map or plat or a deed. This could include document type.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SOURCEDATE</attrlabl>
<attalias Sync="TRUE">Source Doc Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The date of the source document</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">GISACRE</attrlabl>
<attalias Sync="TRUE">GIS Area Acres</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The area of the feature in acres - computed from the GIS, this is not the record area.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">RECRDAREANO</attrlabl>
<attalias Sync="TRUE">Record Area Number</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The record or recorded area as a numeric field</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">RECRDAREATX</attrlabl>
<attalias Sync="TRUE">Record Area Text</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The record or recorded area as a text field. This may include the units of area as well.</attrdef>
</attr>
</detailed>
<overview>
<eaover>Special Surveys are non-PLSS survey areas from BLM survey records which represent federal parcels</eaover>
</overview>
</eainfo>
<dataIdInfo>
<placeKeys>
<thesaName>
<resTitle>BLM-STATE</resTitle>
</thesaName>
<keyword>Idaho</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>BLM-THEME</resTitle>
</thesaName>
<keyword>Geospatial</keyword>
</themeKeys>
<descKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>002</keyword>
</descKeys>
<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>20260318</tmPosition>
</TM_Instant>
<TM_Period>
<tmBegin>20260318</tmBegin>
<tmEnd>20260318</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 Special Survey</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM)</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>
<citRespParty>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<date>
<pubDate>20260318</pubDate>
</date>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>Special Surveys are non-rectangular PLSS survey areas from BLM survey records. These features are not populated for most eastern states because at the time of the PLSS Surveys in the East, the non-rectangular survey types had not been established. In eastern states there are commonly land surveys established prior to PLSS survey that are contained in the Survey System feature class because they are not part of the PLSS. PLSS Special surveys are a component of the PLSS but are not rectangular.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;PLSS Special Surveys are non-rectangular PLSS survey. These features are not populated for the many eastern states data sets because at the time of the PLSS Surveys in the eastern states, the federal survey types had not been established. However, for purposes of transition in some of the eastern states PLSS the non-plss data are in the plss special surveys, this will update over time. For more information contact us at blm_id_infoaccesscenter@blm.gov&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 7 0;"&gt;&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>
<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>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<idPoC>
<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="007"/>
</role>
</idPoC>
<idStatus>
<ProgCd value="001"/>
</idStatus>
</dataIdInfo>
<metainfo>
<langmeta Sync="TRUE">en</langmeta>
<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>
<metc>
<cntinfo>
<cntorgp>
<cntper>REQUIRED: The person responsible for the metadata information.</cntper>
<cntorg>REQUIRED: The organization responsible for the metadata information.</cntorg>
</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>
<metd Sync="TRUE">20101215</metd>
</metainfo>
<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>
<resdesc Sync="TRUE">Downloadable Data</resdesc>
</distinfo>
<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">File 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>
<role>
<RoleCd value="005"/>
</role>
</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>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="CAD_NSDI_PLSSSpecialSurvey_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>
<cordsysn>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
</cordsysn>
<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>
</horizsys>
<vertdef>
<altsys>
<altenc Sync="TRUE">Explicit elevation coordinate included with horizontal coordinates</altenc>
<altres Sync="TRUE">0.000003</altres>
</altsys>
</vertdef>
</spref>
<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_PLSSSpecialSurvey_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">20260311</mdDateSt>
<dataqual>
<lineage>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20101215</procdate>
<proctime Sync="TRUE">14071800</proctime>
</procstep>
</lineage>
</dataqual>
<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>
<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>
<stepDateTm>20260318</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>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<mdMaint>
<maintNote>Last metadata review date: 20260318</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>
