<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230522</CreaDate>
<CreaTime>12241200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
<DataProperties>
<itemProps>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
</DataProperties>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpOrgName>
<rpPosName>State Data Administrator - Geospatial Management Section </rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>907-271-5960 </voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>222 W. 7th Avenue, Stop 13 </delPoint>
<city>Anchorage</city>
<adminArea>AK</adminArea>
<postCode>99513</postCode>
<country>US</country>
<eMailAdd>jlotz@blm.gov </eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</mdContact>
<mdDateSt Sync="FALSE">20260831</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpOrgName>
<rpPosName>State Data Administrator - Geospatial Management Section </rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>907-271-5960 </voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>222 W. 7th Avenue, Stop 13 </delPoint>
<city>Anchorage</city>
<adminArea>AK</adminArea>
<postCode>99513</postCode>
<country>US</country>
<eMailAdd>jlotz@blm.gov </eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="005">
</RoleCd>
</role>
</distorCont>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>https://gbp-blm-egis.hub.arcgis.com</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<placeKeys>
<thesaName>
<resTitle>BLM-STATE</resTitle>
</thesaName>
<keyword>Alaska</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>BLM-THEME</resTitle>
</thesaName>
<keyword>Geospatial</keyword>
</themeKeys>
<idCitation>
<resTitle>BLM AK PLSS Surveyed</resTitle>
<date>
<pubDate>20260831</pubDate>
</date>
<citRespParty>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM), State Data Administrator - Geospatial Management Section </rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Bureau of Land Management</rpOrgName>
<role>
<RoleCd value="010">
</RoleCd>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005">
</PresFormCd>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
</idCitation>
<idAbs>This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.</idAbs>
<idPurp>The CADNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.</idPurp>
<idCredit>Bureau of Land Management, Alaska</idCredit>
<idStatus>
<ProgCd value="001">
</ProgCd>
</idStatus>
<idPoC>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpOrgName>
<rpPosName>State Data Administrator - Geospatial Management Section </rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>907-271-5960 </voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>222 W. 7th Avenue, Stop 13 </delPoint>
<city>Anchorage</city>
<adminArea>AK</adminArea>
<postCode>99513</postCode>
<country>US</country>
<eMailAdd>jlotz@blm.gov </eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009">
</MaintFreqCd>
</maintFreq>
</resMaint>
<searchKeys>
<keyword>Alaska</keyword>
<keyword>Geospatial</keyword>
<keyword>planningCadastre</keyword>
</searchKeys>
<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>
</resConst>
<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>
<accessConsts>
<RestrictCd value="008">
</RestrictCd>
</accessConsts>
<othConsts>None, these data are considered public domain.</othConsts>
</LegConsts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001">
</SpatRepTypCd>
</spatRpType>
<envirDesc>Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-179.230436</westBL>
<eastBL>179.893985</eastBL>
<northBL>71.389884</northBL>
<southBL>51.201455</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<exDesc>Unknown</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2023-02-09</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="FALSE">0</exTypeCode>
<westBL Sync="FALSE">-170</westBL>
<eastBL Sync="FALSE">-129</eastBL>
<northBL Sync="TRUE">71.389884</northBL>
<southBL Sync="TRUE">51.201456</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataChar>
<CharSetCd value="004">
</CharSetCd>
</dataChar>
<tpCat>
<TopicCatCd value="015">
</TopicCatCd>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="012">
</MaintFreqCd>
</maintFreq>
<maintNote>Last metadata review date: 20230725</maintNote>
</mdMaint>
<mdConst>
<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>
</mdConst>
<mdConst>
<LegConsts>
<accessConsts>
<RestrictCd value="008">
</RestrictCd>
</accessConsts>
<othConsts>None, these data are considered public domain.</othConsts>
</LegConsts>
</mdConst>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005">
</ScopeCd>
</scpLvl>
</dqScope>
<report type="DQQuanAttAcc">
<measDesc>Please contact the specific office Point of Contact for additional information on the provenance, history, logical consistency, accuracy and quality of their data.</measDesc>
</report>
<report type="DQConcConsis">
<measDesc>Data conforming to the Publication Guideline should follow for the format and structure of the standard for published data. This means that the topological relationships of the PLSS and parcels should be followed. Level 1 conformance to the guideline means that the data follows and conforms to the structure and an active data steward is identified and engaged in data creation and maintenance. Level 2 conformance all attributes that are necessary for essential query, extraction, labeling and use are present. Level 3 conformance all attributes as applicable are populated. The Eastern States Data Set is at Level 3 of 3 Conformance and fully complies with the national standard
This dataset (BLM Eastern States) is used to create a national dataset via aggregation from multiple datasets provided by the BLM Administrative States. Please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.4.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>The Subcommittee recognizes that not all data is available in all places, but the data that is available should be provided for publication in the format provided in this guideleines. Exceptions to complete data should be noted by the data steward. The Eastern States Data Set contains all of the available GCDB PLSS data.</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>Please contact the specific office Point of Contact for additional information on the provenance, history, logical consistency, accuracy and quality of their data.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>The BLM Alaska State Office will need to be contacted for complete data processing details.
Development of the data set by the agency / individuals identified in the 'Originator' element in the Identification Info section of the record.</stepDesc>
<stepDateTm>20230725</stepDateTm>
<stepProc>
<rpOrgName>U.S. Department of the Interior, Bureau of Land Management (BLM)</rpOrgName>
<rpPosName>GIS Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>907-271-5960 </voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>222 W. 7th Avenue, Stop 13 </delPoint>
<city>Anchorage</city>
<adminArea>AK</adminArea>
<postCode>99513</postCode>
<country>US</country>
<eMailAdd>jlotz@blm.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="009">
</RoleCd>
</role>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="PLSSIntersected">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">721488</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4269">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:gmd="http://www.isotc211.org/2005/gmd" xmlns:gml="http://www.opengis.net/gml" xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:xlink="http://www.w3.org/1999/xlink">
<detailed Name="PLSSIntersected">
<enttyp>
<enttypl>PLSSIntersected</enttypl>
<enttypd>The atomic level of the PLSS that is similar to the coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class.</enttypd>
<enttypds>PLSS_CadNSDI_Publication_Handbook_Oct2016</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">721488</enttypc>
</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>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVDUP</attrlabl>
<attrdef>A code indicating if the first division is a duplicated area or identifier</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVID</attrlabl>
<attrdef>A unique identifier for the first division that is built by appending the first division elements on the Township identifier.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVLAB</attrlabl>
<attrdef>The label for the first division that is used for cartographic of web display purposes.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVNO</attrlabl>
<attrdef>The number, letter or designator for the first division of the PLSS Township</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVTXT</attrlabl>
<attrdef>The first division type as a text field</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>FRSTDIVTYP</attrlabl>
<attrdef>The type of first division; commonly the section but may be a lot, parcel, tract or other type of division.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>GOVLOT</attrlabl>
<attrdef>These are the Government Lot numbers or identifiers</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>PLSSID</attrlabl>
<attrdef>Concantenation of the principal meridian, township, range, and duplication code that forms a unique id.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>PRINMER</attrlabl>
<attrdef>Principal meridian name as a text</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>PRINMERCD</attrlabl>
<attrdef>Principal meridian code from the BLM PM Code list</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>QQSEC</attrlabl>
<attrdef>This is the quarter quarter PLSS reference, 1/16th part of a section</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>QSEC</attrlabl>
<attrdef>Quarter section identifer, a two letter label (NE,SE,SW,SE)</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>RANGEDIR</attrlabl>
<attrdef>Range direction. The direction of a column of townships from a Public Land Survey System Origin. These are typcially East or West in the west but may be north or south in Ohio</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>RANGEFRAC</attrlabl>
<attrdef>Range fraction. Range Fractions are created when there are gaps between surveyed Township boundaries or due to excess size in Townships that arose from executing original surveys.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>RANGENO</attrlabl>
<attrdef>Range number. The Range Number indicates the number of columns of townships, east or west from a Public Land Survey System Origin.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVID</attrlabl>
<attrdef>Unique identifier for the second division.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVLAB</attrlabl>
<attrdef>PLSS Second Division label for cartographic output or web display.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVNO</attrlabl>
<attrdef>Second division number or aliquot part reference.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVNOTE</attrlabl>
<attrdef>A note or Code for the second division. Used for additional information</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<edom>
<edomv>R</edomv>
<edomvd>Replaced, (a historical reference for a parcel that has been changed)</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>A</edomv>
<edomvd>Approximate acres</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Alt Source</edomv>
<edomvd>Alternate Source (non-GCDB) data was acquired to represent the PLSS</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>C</edomv>
<edomvd>Conflict, (data has a problem that needs to be resolved)</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>C, Alt Source</edomv>
<edomvd>Conflict, Alt Source (the Alternate source dat has a problem that needs resolution)</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>D</edomv>
<edomvd>Do not add acres, or PLSS Submerged</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>E</edomv>
<edomvd>Exception</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>G</edomv>
<edomvd>GeoPolitical Split</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Island</edomv>
<edomvd>Unsurveyed Unprotracted Islands</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>N</edomv>
<edomvd>Not coded due to complexity</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>P</edomv>
<edomvd>Survey Acres are different than on the plat</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Remainder</edomv>
<edomvd>Remainder of a government lot</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>S</edomv>
<edomvd>Salt water</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Shore line</edomv>
<edomvd>Land between the meandered PLSS and the mean high tide line (Ocean)</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>U</edomv>
<edomvd>Survey within a protraction</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>M</edomv>
<edomvd>Minus acres</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>X</edomv>
<edomvd>Exception, or Elongated, or Invaded by resurvey</edomvd>
<edomvds>BLM</edomvds>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVSUF</attrlabl>
<attrdef>Second division suffix used to uniquely identify duplicates or unnumbered lots</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVTYP</attrlabl>
<attrdef>Code for the type of second division.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>STATEABBR</attrlabl>
<attrdef>State abbreviation code two letter postal code</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SECDIVTXT</attrlabl>
<attrdef>Second division type text description</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>STEWARD</attrlabl>
<attrdef>Data steward for the polygon</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVLAB</attrlabl>
<attrdef>Label that is used for cartographic output or web display.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVNO</attrlabl>
<attrdef>Special survey number.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVNOTE</attrlabl>
<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</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVID</attrlabl>
<attrdef>Unique identifier for the survey.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVSUF</attrlabl>
<attrdef>Special survey suffix designation that makes the identification of the area unique.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVTYPTXT</attrlabl>
<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>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SRVNAME</attrlabl>
<attrdef>A common or otherwise recognized name for a portion of area of a PLSS Survey, for example the refugee lands in Ohio or in cases where a PLSS Township has a recognized name.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVTYP</attrlabl>
<attrdef>Code of the type of special survey.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<edom>
<edomv>B</edomv>
<edomvd>Minor subdivsion less than 40 acres</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>C</edomv>
<edomvd>Coal</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>D</edomv>
<edomvd>Allotment</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>E</edomv>
<edomvd>Metes &amp; Bounds</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>G</edomv>
<edomvd>Land Grant</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>H</edomv>
<edomvd>Homestead Entry Survey</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>I</edomv>
<edomvd>Indian Allotment</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>J</edomv>
<edomvd>Small Tract Act holding claim</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>K</edomv>
<edomvd>Block &amp; Lot within a townsite</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>L</edomv>
<edomvd>Government Lot</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>M</edomv>
<edomvd>Mineral Survey</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>N</edomv>
<edomvd>Townsite</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>O</edomv>
<edomvd>Unnumbered lot, (refer to 2ndivsuff for unique identification)</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>P</edomv>
<edomvd>Parcel</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Q</edomv>
<edomvd>Donation Land Claim</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>T</edomv>
<edomvd>Tract</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>U</edomv>
<edomvd>Unsurveyed Protracted</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>W</edomv>
<edomvd>Water</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Y</edomv>
<edomvd>Townsite out lot</edomvd>
<edomvds>BLM</edomvds>
</edom>
<edom>
<edomv>Z</edomv>
<edomvd>Unsurveyed Unprotracted</edomvd>
<edomvds>BLM</edomvds>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl>TWNSHPDIR</attrlabl>
<attrdef>Township direction. The direction of a row of Townships from a Public Land Survey System Origin. These are typcially North and South in the West but may be East and West in Ohio</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>TWNSHPDPCD</attrlabl>
<attrdef>If there are multiple townships in a Public Land Survey System Origin, State and Survey Name, the Township Duplicate Status is used to establish uniqueness. When more than one Public Land Survey System Township has the same Township and Range numbers and directions and fractions, and are in the same State, this attribute is used to distinguish among duplicate values.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SURVDIV</attrlabl>
<attrdef>The name or designation for any division of a PLSS Special Survey such as Lot in a Tract.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>TWNSHPFRAC</attrlabl>
<attrdef>Township fraction. Township Fractions are created when there are gaps between surveyed Township boundaries or due to excess size in Townships that arose from executing original surveys.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>TWNSHPLAB</attrlabl>
<attrdef>Township label that is used for cartographic output or web display</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>TWNSHPNO</attrlabl>
<attrdef>Township number. The Township Number indicates the number of rows of townships, north or south from a Public Land Survey System Origin.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SOURCEREF</attrlabl>
<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>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SOURCEDATE</attrlabl>
<attrdef>The date of the source document.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>RECRDAREATX</attrlabl>
<attrdef>No definition.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>RECRDAREANO</attrlabl>
<attrdef>The record or recorded area as a numeric field.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>GISACRE</attrlabl>
<attrdef>The area of the feature in acres - computed from the GIS, this is not the record area.</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>REVISEDDATE</attrlabl>
<attrdef>The last date of any revision in the data</attrdef>
<attrdefs>BLM</attrdefs>
<attrdomv>
<udom>Unrepresentable in a domain.</udom>
</attrdomv>
</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>
</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>
</attr>
</detailed>
<overview>
<eaover>This data is a product of the BLM. Contact the BLM point of contact for this dataset for information regarding the entity type description.</eaover>
<eadetcit>See FGDC Cadastral Subcommittee, and CADNSDI Implementation Guidelines, Version 2.
PLSS_CadNSDI_Publication_Handbook_Oct2016</eadetcit>
</overview>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
