<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260129</CreaDate>
<CreaTime>10390700</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<SyncDate>20260129</SyncDate>
<SyncTime>08470200</SyncTime>
<ModDate>20260318</ModDate>
<ModTime>14231800</ModTime>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">CAD_NSDI_PLSSSecondDivision_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>
<idinfo>
<descript>
<abstract>The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.</abstract>
<purpose>This feature class provides the graphic of the aliquot or government lot divisions of the plss township</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">PLSSSecondDivision</title>
<ftname Sync="TRUE">PLSSSecondDivision</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_PLSSSecondDivision_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">FRSTDIVID</attrlabl>
<attalias Sync="TRUE">First Division Identifier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">22</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Unique identifier for the first division.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">PLSSID</attrlabl>
<attalias Sync="TRUE">Township Identifier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">16</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Concatenation of the principal meridian, township, range, and duplication code that form a unique identifier for the township.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVID</attrlabl>
<attalias Sync="TRUE">Second Division Identifier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="FALSE">Unique identifier for the second division.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVLAB</attrlabl>
<attalias Sync="TRUE">Second Division 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">PLSS Second Division label for cartographic output or web display.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVNO</attrlabl>
<attalias Sync="TRUE">Second Division Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Second division number or aliquot part reference.</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVSUF</attrlabl>
<attalias Sync="TRUE">Second Division Suffix</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="FALSE">Second division suffix. Second division suffix used to identify duplicates or suffix to the name</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVTXT</attrlabl>
<attalias Sync="TRUE">Second Division 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">Second division type text description</attrdef>
</attr>
<attr>
<attrlabl Sync="TRUE">SECDIVTYP</attrlabl>
<attalias Sync="TRUE">Second Division Type Code</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Code of the type of second division.</attrdef>
</attr>
<enttyp>
<enttypl Sync="TRUE">CAD_NSDI_PLSSSecondDivision_PUB_GCDB_POLY</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
<enttypd>The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division that has been defined for the first division. For example in some cases sections have only been divided to the quarter and in other cases surveys may divide the section to the 32 division. Only surveyed divisions below the sixteenth are included in this feature class.</enttypd>
</enttyp>
<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>Code for the type of special survey typically from the codes for the BLM data collection. Used in this feature to indicate if the feature is unsurveyed or unprotracted.</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>The description of the survey type code. There may be a description of the survey type, or survey status in the case of this feature, without a code.</attrdef>
</attr>
<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">SECDIVNOTE</attrlabl>
<attalias Sync="TRUE">Second Division 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 second division of the PLSS such as R for replaced or other notes about the use and interpretation of the second division information</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">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="FALSE">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 Acre</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">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>The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division that has been defined for the first division. For example in some cases sections have only been divided to the quarter and in other cases surveys may divide the section to the 32 division. Only surveyed divisions below the sixteenth are included in this feature class.</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>
<keyword>Management</keyword>
<keyword>Range</keyword>
</themeKeys>
<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>
<descKeys>
<thesaName>
<resTitle>NONE</resTitle>
</thesaName>
<keyword>002</keyword>
</descKeys>
<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>
<citRespParty>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpIndName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<resTitle Sync="FALSE">BLM ID CADNSDI PLSS Second Division</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<date>
<pubDate>20260318</pubDate>
</date>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>This feature class provides the graphic of the aliquot or government lot divisions of the plss township.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class. For more information contact us at blm_id_infoaccesscenter@blm.gov&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>
<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>
<tpCat>
<TopicCatCd value="003"/>
</tpCat>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</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="FALSE">File Geodatabase Feature Class</formatName>
</distorFormat>
<distorCont>
<rpIndName>GIS Specialist</rpIndName>
<rpOrgName>Bureau of Land Management</rpOrgName>
<rpPosName>GIS Specialist</rpPosName>
<role>
<RoleCd value="005"/>
</role>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>1387 S. Vinnell Way</delPoint>
<city>Boise</city>
<adminArea>ID</adminArea>
<postCode>83709</postCode>
<eMailAdd>1387 S. Vinnell Way</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>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="CAD_NSDI_PLSSSecondDivision_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_PLSSSecondDivision_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">20260318</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>
<role>
<RoleCd value="006"/>
</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>
</mdContact>
</metadata>
