<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240222</CreaDate>
<CreaTime>09524200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<DataProperties>
<itemProps>
<imsContentType export="False">
</imsContentType>
</itemProps>
</DataProperties>
</Esri>
<dataIdInfo>
<placeKeys>
<thesaName>
<resTitle>BLM-STATE</resTitle>
</thesaName>
<keyword>Alabama</keyword>
<keyword>Alaska</keyword>
<keyword>Arizona</keyword>
<keyword>Arkansas</keyword>
<keyword>California</keyword>
<keyword>Colorado</keyword>
<keyword>Eastern States</keyword>
<keyword>Florida</keyword>
<keyword>Georgia</keyword>
<keyword>Idaho</keyword>
<keyword>Illinois</keyword>
<keyword>Indiana</keyword>
<keyword>Iowa</keyword>
<keyword>Kansas</keyword>
<keyword>Kentucky</keyword>
<keyword>Louisiana</keyword>
<keyword>Maryland</keyword>
<keyword>Michigan</keyword>
<keyword>Minnesota</keyword>
<keyword>Mississippi</keyword>
<keyword>Missouri</keyword>
<keyword>Montana</keyword>
<keyword>Nebraska</keyword>
<keyword>Nevada</keyword>
<keyword>New Mexico</keyword>
<keyword>North Carolina</keyword>
<keyword>North Dakota</keyword>
<keyword>Ohio</keyword>
<keyword>Oklahoma</keyword>
<keyword>Oregon</keyword>
<keyword>Pennsylvania</keyword>
<keyword>South Dakota</keyword>
<keyword>Tennessee</keyword>
<keyword>Texas</keyword>
<keyword>Utah</keyword>
<keyword>Virginia</keyword>
<keyword>Washington</keyword>
<keyword>West Virginia</keyword>
<keyword>Wisconsin</keyword>
<keyword>Wyoming</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>BLM-THEME</resTitle>
</thesaName>
<keyword>Geospatial</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>First Division</keyword>
<keyword>National</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>polygon</keyword>
<keyword>Public Land Survey System</keyword>
</themeKeys>
<idCitation>
<citRespParty>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="010">
</RoleCd>
</role>
</citRespParty>
<citRespParty>
<rpIndName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpIndName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
</citRespParty>
<resTitle>BLM_Natl_PLSS_CadNSDI</resTitle>
<date>
<pubDate>20261015</pubDate>
</date>
</idCitation>
<idAbs>This Service is a compilation of feature classes designed to represent the Public Land Survey System (PLSS) grid that incorporates the North American Datum of 1983 (NAD 83). The Bureau of Land Management (BLM) National Public Land Survey System is the basis for Federal land ownership. This data includes township, range, section (First Division), and Intersected.</idAbs>
<searchKeys>
<keyword>Alabama</keyword>
<keyword>Alaska</keyword>
<keyword>Arizona</keyword>
<keyword>Arkansas</keyword>
<keyword>BLM</keyword>
<keyword>boundaries</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Cadastral</keyword>
<keyword>Cadastral Reference</keyword>
<keyword>California</keyword>
<keyword>Colorado</keyword>
<keyword>Eastern States</keyword>
<keyword>First Division</keyword>
<keyword>Florida</keyword>
<keyword>Georgia</keyword>
<keyword>geoscientificInformation</keyword>
<keyword>Geospatial</keyword>
<keyword>Idaho</keyword>
<keyword>Illinois</keyword>
<keyword>Indiana</keyword>
<keyword>Iowa</keyword>
<keyword>Kansas</keyword>
<keyword>Kentucky</keyword>
<keyword>Louisiana</keyword>
<keyword>Maryland</keyword>
<keyword>Michigan</keyword>
<keyword>Minnesota</keyword>
<keyword>Mississippi</keyword>
<keyword>Missouri</keyword>
<keyword>Montana</keyword>
<keyword>National</keyword>
<keyword>Nebraska</keyword>
<keyword>Nevada</keyword>
<keyword>New Mexico</keyword>
<keyword>North Carolina</keyword>
<keyword>North Dakota</keyword>
<keyword>Ohio</keyword>
<keyword>Oklahoma</keyword>
<keyword>Oregon</keyword>
<keyword>Parcels</keyword>
<keyword>Pennsylvania</keyword>
<keyword>PLSS</keyword>
<keyword>PLSS Corners</keyword>
<keyword>PLSS Divisions</keyword>
<keyword>PLSS Sections</keyword>
<keyword>PLSS Special Surveys</keyword>
<keyword>polygon</keyword>
<keyword>Public Land Survey System</keyword>
<keyword>South Dakota</keyword>
<keyword>Tennessee</keyword>
<keyword>Texas</keyword>
<keyword>Utah</keyword>
<keyword>Virginia</keyword>
<keyword>Washington</keyword>
<keyword>West Virginia</keyword>
<keyword>Wisconsin</keyword>
<keyword>Wyoming</keyword>
</searchKeys>
<idPurp>This Service is a compilation of feature classes designed to represent the Public Land Survey System (PLSS) grid that incorporates the North American Datum of 1983 (NAD 83). The Bureau of Land Management (BLM) National Public Land Survey System is the basis for Federal land ownership. This data includes township, range, section (First Division), and Intersected.</idPurp>
<idCredit>Compiled by the Bureau of Land Management (BLM), Headquarters (HQ)</idCredit>
<resConst>
<Consts>
<useLimit>PUBLIC. BLM. 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>
</resConst>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-167.848141</westBL>
<eastBL>-132.267851</eastBL>
<northBL>71.208648</northBL>
<southBL>53.821262</southBL>
</GeoBndBox>
</geoEle>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>20261015</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idStatus>
<ProgCd value="001">
</ProgCd>
</idStatus>
<dataLang>
<languageCode value="eng">
</languageCode>
</dataLang>
<dataChar>
<CharSetCd value="004">
</CharSetCd>
</dataChar>
<idPoC>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="007">
</RoleCd>
</role>
<rpOrgName>Headquarters (HQ)</rpOrgName>
<rpPosName>Publisher</rpPosName>
<displayName>Name: Bureau of Land Management
Role: Publisher</displayName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>Denver Federal Center, Bldg. 85</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80225-0047</postCode>
<eMailAdd>BLM_Press@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009">
</MaintFreqCd>
</maintFreq>
</resMaint>
<resConst>
<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="003">
</TopicCatCd>
</tpCat>
<tpCat>
<TopicCatCd value="008">
</TopicCatCd>
</tpCat>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
<mdDateSt Sync="TRUE">20261015</mdDateSt>
<mdFileID>68F80550-8020-46BB-8309-ACD11600FA14</mdFileID>
<mdLang>
<languageCode value="eng">
</languageCode>
</mdLang>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdContact>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="010">
</RoleCd>
</role>
<rpOrgName>Headquarters (HQ)</rpOrgName>
<rpPosName>Publisher</rpPosName>
<displayName>Name: Bureau of Land Management
Role: Publisher</displayName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>Denver Federal Center, Bldg. 85</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80225-0047</postCode>
<eMailAdd>BLM_Press@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</mdContact>
<mdMaint>
<maintNote>Last metadata review date: 20261014</maintNote>
<maintFreq>
<MaintFreqCd value="009">
</MaintFreqCd>
</maintFreq>
</mdMaint>
<dqInfo>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>Report</measDesc>
</report>
<report type="DQConcConsis">
<measDesc>Report</measDesc>
</report>
<report type="DQCompOm">
<measDesc>Report</measDesc>
</report>
<report type="DQQuanAttAcc">
<measDesc>Report</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>Process Step</stepDesc>
<stepDateTm>20261015</stepDateTm>
<stepProc>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="009">
</RoleCd>
</role>
<rpOrgName>Headquarters (HQ)</rpOrgName>
<rpPosName>Publisher</rpPosName>
<displayName>Name: Bureau of Land Management
Role: Publisher</displayName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>Denver Federal Center, Bldg. 85</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80225-0047</postCode>
<eMailAdd>BLM_Press@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<distInfo>
<distTranOps>
<onLineSrc>
<linkage>https://blm-egis.maps.arcgis.com/home/item.html?id=6822892a0201443f8d568b73c8baf653#overview</linkage>
</onLineSrc>
</distTranOps>
<distributor>
<distorCont>
<rpIndName>Bureau of Land Management</rpIndName>
<role>
<RoleCd value="005">
</RoleCd>
</role>
<rpOrgName>Headquarters (HQ)</rpOrgName>
<rpPosName>Publisher</rpPosName>
<editorSave>False</editorSave>
<displayName>Name: Bureau of Land Management
Role: Publisher</displayName>
<rpCntInfo>
<cntAddress addressType="postal">
<delPoint>Denver Federal Center, Bldg. 85</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80225-0047</postCode>
<eMailAdd>BLM_Press@blm.gov</eMailAdd>
<country>US</country>
</cntAddress>
</rpCntInfo>
</distorCont>
</distributor>
</distInfo>
<eainfo>
<detailed>
<enttyp>
<enttypl>Feature</enttypl>
<enttypd>Feature</enttypd>
</enttyp>
</detailed>
<overview>
<eaover>Overview</eaover>
</overview>
</eainfo>
</metadata>
