<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20251114</CreaDate>
<CreaTime>14524100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<itemName Sync="FALSE">USFS_Bulk_Density</itemName>
<nativeExtBox>
<westBL Sync="TRUE">-14236439.462900</westBL>
<eastBL Sync="TRUE">-7266359.462900</eastBL>
<southBL Sync="TRUE">2617329.530500</southBL>
<northBL Sync="TRUE">6728829.530500</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
<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;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;148923141.92838538&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">32</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
<NumBands Sync="TRUE">1</NumBands>
<Format Sync="TRUE">AMD</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">floating point</PixelType>
<NoDataValue Sync="TRUE">
</NoDataValue>
</General>
<Properties>
<MaxImageHeight Sync="TRUE">100000</MaxImageHeight>
<MaxImageWidth Sync="TRUE">100000</MaxImageWidth>
<MaxRecordCount Sync="TRUE">1000</MaxRecordCount>
<MaxDownloadImageCount Sync="TRUE">20</MaxDownloadImageCount>
<MaxDownloadSizeLimit Sync="TRUE">2048</MaxDownloadSizeLimit>
<MaxMosaicImageCount Sync="TRUE">20</MaxMosaicImageCount>
<DefaultCompressionQuality Sync="TRUE">75</DefaultCompressionQuality>
<DefaultCompressionTolerance Sync="TRUE">0.01</DefaultCompressionTolerance>
<BlendWidth Sync="TRUE">10</BlendWidth>
<ViewpointSpacingX Sync="TRUE">600</ViewpointSpacingX>
<ViewpointSpacingY Sync="TRUE">300</ViewpointSpacingY>
<AllowedItemMetadata Sync="TRUE">Basic</AllowedItemMetadata>
<DefaultResamplingMethod Sync="TRUE">1</DefaultResamplingMethod>
<AllowedMosaicMethods Sync="TRUE">None,NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline</AllowedMosaicMethods>
<AllowedCompressions Sync="TRUE">None,JPEG,LZ77,LERC</AllowedCompressions>
<AllowedMensurationCapabilities Sync="TRUE">Basic</AllowedMensurationCapabilities>
<AvailableMensurationCapabilities Sync="TRUE">None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D</AvailableMensurationCapabilities>
<ClipToBoundary Sync="TRUE">-1</ClipToBoundary>
<FootprintMayContainNoData Sync="TRUE">-1</FootprintMayContainNoData>
<CellSizeTolerance Sync="TRUE">0.8</CellSizeTolerance>
<MinimumPixelContribution Sync="TRUE">1</MinimumPixelContribution>
<AvailableMosaicMethods Sync="TRUE">NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None</AvailableMosaicMethods>
<AvailableCompressionMethods Sync="TRUE">None,JPEG,LZ77,LERC</AvailableCompressionMethods>
<AvailableItemMetadataLevels Sync="TRUE">None,Basic,Full</AvailableItemMetadataLevels>
<BandDefinitionKeyword Sync="TRUE">NONE</BandDefinitionKeyword>
<_docversion_ Sync="TRUE">10</_docversion_>
<AllowedFields Sync="TRUE">name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder</AllowedFields>
<MaxCellSize Sync="TRUE">19200</MaxCellSize>
<LowCellSize Sync="TRUE">30</LowCellSize>
<HighCellSize Sync="TRUE">1920</HighCellSize>
<DataType Sync="TRUE">Scientific</DataType>
<TimeIntervalUnits Sync="TRUE">
</TimeIntervalUnits>
<AvailableFields Sync="TRUE">name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,variable,depth,dimensions,st_area(shape),st_perimeter(shape)</AvailableFields>
<SortableFields Sync="TRUE">minps,maxps,lowps,highps,centerx,centery,zorder,st_area(shape),st_perimeter(shape),Depth</SortableFields>
<SortAscending Sync="TRUE">-1</SortAscending>
<MosaicOperator Sync="TRUE">1</MosaicOperator>
<BlendWidthUnits Sync="TRUE">1</BlendWidthUnits>
<ClipToFootprint Sync="TRUE">0</ClipToFootprint>
<ClipOverviewsToFootprint Sync="TRUE">0</ClipOverviewsToFootprint>
<HasDodgingTable Sync="TRUE">0</HasDodgingTable>
<ApplyColorCorrection Sync="TRUE">0</ApplyColorCorrection>
<UseTime Sync="TRUE">0</UseTime>
<StartTimeFieldName Sync="TRUE">
</StartTimeFieldName>
<EndTimeFieldName Sync="TRUE">
</EndTimeFieldName>
<TimeValueFormat Sync="TRUE">
</TimeValueFormat>
<UseRange Sync="TRUE">0</UseRange>
<TimeInterval Sync="TRUE">
</TimeInterval>
</Properties>
<Functions Sync="TRUE">
<Function Description="Performs on-the-fly mosaic on a raster catalog." Name="Mosaic Function">
</Function>
</Functions>
</RasterProperties>
</DataProperties>
<scaleRange>
<minScale>50000000</minScale>
<maxScale>50000</maxScale>
</scaleRange>
<SyncDate>20251118</SyncDate>
<SyncTime>10461600</SyncTime>
<ModDate>20251123</ModDate>
<ModTime>11053100</ModTime>
<ArcGISProfile>ISO19139</ArcGISProfile>
</Esri>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdDateSt Sync="TRUE">20251123</mdDateSt>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Raster Dataset</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">USFS_Soils_Bulk_Density</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-127.888112</westBL>
<eastBL Sync="TRUE">-65.274818</eastBL>
<northBL Sync="TRUE">51.603954</northBL>
<southBL Sync="TRUE">22.878481</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.3.57366</envirDesc>
<idPurp>The soil bulk density in g/cm^3, by depth. Depth ranges include 0-5, 5-25, 25-50, and 50-100 cm.</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Bulk density, one-third bar, is the oven-dry weight of the soil material less than 2 mm in size per unit volume of soil at water tension of -0.33 bar (-33 kPa), expressed in grams per cubic centimeter. Bulk density influences plant growth and engineering applications. It is used to convert measurements from a weight basis to a volume basis. Within a family- level particle-size class, bulk density is an indicator of how well plant roots are able to extend into the soil. Bulk density is used to calculate porosity. Bulk density at 33 kPa is used for soil classification in the required characteristics for andic soil properties and in the criteria for Andic, Aquandic, and Vitrandic subgroups.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Contact: Estella Smith, Geospatial Technology and Applications Center (GTAC), USFS. estella.smith@usda.gov&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>Generated using 2022 gNATSGO soil database with NRCS Soil Data Development Toolkit (version 20201013).</idCredit>
<searchKeys>
<keyword>USFS</keyword>
<keyword>Soil</keyword>
<keyword>Bulk Density</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/). &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Non-Discrimination Statement &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: program.intake@usda.gov. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;USDA is an equal opportunity provider, employer, and lender. &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<tpCat>
<TopicCatCd value="010">
</TopicCatCd>
</tpCat>
</dataIdInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002">
</CellGeoCd>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">-14236439.462900 2617329.530500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-14236439.462900 6728829.530500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-7266359.462900 6728829.530500</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">-7266359.462900 2617329.530500</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">-10751399.462900 4673079.530500</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">232336</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">30.000000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">137050</dimSize>
<dimResol>
<value Sync="TRUE" uom="m">30.000000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001">
</PixOrientCd>
</ptInPixel>
</Georect>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3857">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001">
</ContentTypCd>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
<valUnit>
<UOM type="length">
</UOM>
</valUnit>
<maxVal Sync="TRUE">2.600000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<eainfo>
<detailed Name="AMD_BulkDensity_CAT">
<enttyp>
<enttypl Sync="TRUE">AMD_BulkDensity_CAT</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">4</enttypc>
</enttyp>
<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">Raster</attrlabl>
<attalias Sync="TRUE">Raster</attalias>
<attrtype Sync="TRUE">Raster</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Name</attrlabl>
<attalias Sync="TRUE">Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">200</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MinPS</attrlabl>
<attalias Sync="TRUE">MinPS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MaxPS</attrlabl>
<attalias Sync="TRUE">MaxPS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LowPS</attrlabl>
<attalias Sync="TRUE">LowPS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">HighPS</attrlabl>
<attalias Sync="TRUE">HighPS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Category</attrlabl>
<attalias Sync="TRUE">Category</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Tag</attrlabl>
<attalias Sync="TRUE">Tag</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GroupName</attrlabl>
<attalias Sync="TRUE">GroupName</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ProductName</attrlabl>
<attalias Sync="TRUE">ProductName</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CenterX</attrlabl>
<attalias Sync="TRUE">CenterX</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CenterY</attrlabl>
<attalias Sync="TRUE">CenterY</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ZOrder</attrlabl>
<attalias Sync="TRUE">ZOrder</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TypeID</attrlabl>
<attalias Sync="TRUE">Raster Type ID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ItemTS</attrlabl>
<attalias Sync="TRUE">ItemTS</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UriHash</attrlabl>
<attalias Sync="TRUE">UriHash</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Uri</attrlabl>
<attalias Sync="TRUE">Uri</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</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">Variable</attrlabl>
<attalias Sync="TRUE">Variable</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Dimensions</attrlabl>
<attalias Sync="TRUE">Dimensions</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Depth</attrlabl>
<attalias Sync="TRUE">Depth</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
