<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250625</CreaDate>
<CreaTime>09452000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">ENIV_SSURGO</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">540122.501595</westBL>
<eastBL Sync="TRUE">603470.170831</eastBL>
<southBL Sync="TRUE">135206.059587</southBL>
<northBL Sync="TRUE">221617.636435</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_NAD_1983_HARN_Adj_MN_Ramsey</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_HARN_Adj_MN_Ramsey_Feet</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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_HARN_Adj_MN_Ramsey_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_NAD_1983_HARN_Adj_MN_Ramsey&amp;quot;,DATUM[&amp;quot;D_NAD_1983_HARN_Adj_MN_Ramsey&amp;quot;,SPHEROID[&amp;quot;S_GRS_1980_Adj_MN_Ramsey&amp;quot;,6378418.941,298.2572221008827]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,100000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-93.38333333333334],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,44.88333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,45.13333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,44.79111111111111],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;Esri&amp;quot;,103768]]&lt;/WKT&gt;&lt;XOrigin&gt;-119096800&lt;/XOrigin&gt;&lt;YOrigin&gt;-98462100&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&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;103768&lt;/WKID&gt;&lt;LatestWKID&gt;103768&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20250917</SyncDate>
<SyncTime>09473300</SyncTime>
<ModDate>20250917</ModDate>
<ModTime>09473300</ModTime>
</Esri>
<mdChar>
<CharSetCd value="004">
</CharSetCd>
</mdChar>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdContact>
<rpIndName>Matt Koukol</rpIndName>
<rpOrgName>Ramsey County</rpOrgName>
<rpPosName>GIS Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>651.266.3463</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>121 7th Place E</delPoint>
<delPoint>Suite 2300</delPoint>
<city>Saint Paul</city>
<adminArea>MN</adminArea>
<postCode>55101</postCode>
<eMailAdd>RCGISMetaData@co.ramsey.mn.us</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</mdContact>
<mdDateSt>20180730</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distTranOps>
<onLineSrc>
<linkage>https://www.ramseycounty.us/your-government/open-government/research-data</linkage>
</onLineSrc>
</distTranOps>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle>ENIV_SSURGO_ViewOnly</resTitle>
<date>
<pubDate>2018-07-30</pubDate>
</date>
<citRespParty>
<rpOrgName>Ramsey County</rpOrgName>
<role>
<RoleCd value="006">
</RoleCd>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Ramsey County Enterprise GIS</rpOrgName>
<role>
<RoleCd value="010">
</RoleCd>
</role>
</citRespParty>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<idAbs/>
<idPurp/>
<idStatus>
<ProgCd value="001">
</ProgCd>
</idStatus>
<idPoC>
<rpIndName>Matt Koukol</rpIndName>
<rpOrgName>Ramsey County</rpOrgName>
<rpPosName>GIS Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>651.266.3463</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>121 7th Place E</delPoint>
<delPoint>Suite 2300</delPoint>
<city>Saint Paul</city>
<adminArea>MN</adminArea>
<postCode>55101</postCode>
<eMailAdd>RCGISMetaData@co.ramsey.mn.us</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007">
</RoleCd>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="011">
</MaintFreqCd>
</maintFreq>
</resMaint>
<graphOver>
<bgFileName>withheld</bgFileName>
</graphOver>
<placeKeys>
<keyword>Minnesota, MN, Ramsey County</keyword>
</placeKeys>
<themeKeys>
<keyword>geoscientificInformation, environment, SSURGO, soils, soil survey</keyword>
<thesaName>
<resTitle>ISO Topic Category 19115</resTitle>
</thesaName>
</themeKeys>
<searchKeys>
<keyword>Environment</keyword>
<keyword>View Only</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<resConst>
<LegConsts>
<useLimit>EXCEPT AS EXPRESSLY STATED HEREIN, THIS DATA IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. USER BEARS ANY AND ALL RISK RELATING TO QUALITY AND PERFORMANCE OF THIS DATA. Limit on Liability: This data is not a legally recorded map or survey and is not intended to be used as one. This data is a compilation of records and information from various state, county, and city offices, and other sources, and should be used for reference only.
In no event will the County of Ramsey be liable for direct, indirect, special, incidental, or consequential damages arising out of the use of, or inability to use, the data, even if advised of the possibility of such damages. Specifically, the County of Ramsey is not responsible for any costs including, but not limited to, those incurred as a result of lost profits or revenue, loss of use of data, the costs of recovering such programs or data, the cost of any substitute programs or data, claims by third parties, or for other similar costs.</useLimit>
<accessConsts>
<RestrictCd value="008">
</RestrictCd>
</accessConsts>
<othConsts>None.</othConsts>
</LegConsts>
</resConst>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-93.228202</westBL>
<eastBL>-92.982974 </eastBL>
<northBL>45.124277</northBL>
<southBL>44.890922</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<exDesc>Data is not expected to be updated.</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2014-02-12</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
<geoEle>
</geoEle>
</dataExt>
<suppInfo>Ramsey County</suppInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-93.228540</westBL>
<eastBL Sync="TRUE">-92.982496</eastBL>
<northBL Sync="TRUE">45.124554</northBL>
<southBL Sync="TRUE">44.886970</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idCredit/>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005">
</ScopeCd>
</scpLvl>
</dqScope>
<report type="DQQuanAttAcc">
<measDesc>Attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).</measDesc>
</report>
<report type="DQConcConsis">
<measDesc>A map unit is a collection of areas defined and named in terms of their soil components or miscellaneous areas or both. Each map unit differs in some respect from all others in a survey area and each map unit has a symbol that uniquely identifies the map unit on a soil map. Each individual area, point, or line so identified on the map is a delineation. Soil Scientists identify small areas of soils or miscellaneous areas that have properties and behavior significantly different than the named soils in the surrounding map unit. These minor components may be indicated as special features. If they have a minimal effect on use and management, or could not be precisely located, they may not be indicated on the map. A map unit has specified kinds of soils or miscellaneous areas (map unit components), each with a designated range in proportionate extent. Map units include one or more kinds of soil or miscellaneous area. Miscellaneous areas are areas that have little or no recognizable soil. Specific National Cooperative Soil Survey standards and procedures were used in the classification of soils, design and name of map units, and location of special soil features. These standards are outlined in Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995, USDA, NRCS; and all Amendments; Keys to Soil Taxonomy, (current issue) USDA, NRCS; National Soil Survey Handbook, title 430-VI,(current issue) USDA, NRCS. The actual composition and interpretive purity of the map unit delineations were based on data collected by scientists during the course of preparing the soil maps. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in the memorandum of understanding for the soil survey area and in documents that reside with the Natural Resources Conservation Service state soil scientist. Four kinds of map units are used in soil surveys: consociations, complexes, associations, and undifferentiated groups. Consociations - Consociations are named for the dominant soil. In a consociation, delineated areas use a single name from the dominant component in the map unit. Dissimilar components are minor in extent. The soil component in a consociation may be identified at any taxonomic level. Soil series is the lowest taxonomic level. A consociation that is named as a miscellaneous area is dominantly that kind of area and minor components do not significantly affect the of the map unit. The total amount of dissimilar inclusions of other components in a map unit generally does not exceed about 15 percent if limiting and 25 percent if non-limiting. A single component of a dissimilar limiting inclusion generally does not exceed 10 percent if very contrasting. Complexes and associations - Complexes and associations consist of two or more dissimilar components that occur in a regularly repeating pattern. The total amount of other dissimilar components is minor extent. The following arbitrary rule determines whether complex or association is used in the name. The major components of an association can be separated at the scale of mapping. In either case, because the major components are sufficiently different in morphology or behavior, the map unit cannot be called a consociation. In each delineation of a complex or an association, each major component is normally present though their proportions may vary appreciably from one delineation to another. The total amount of inclusions in a map unit that are dissimilar to any of the major components does not exceed 15 percent if limiting and 25 percent if non-limiting. A single kind of dissimilar limiting inclusion usually does not exceed 10 percent. Undifferentiated groups - Undifferentiated groups consist of two or more components that are not consistently associated geographically and, therefore, do not always occur together in the same map delineation. These components are included in the same named map unit because their use and management are the same or very similar for common uses. Generally they are grouped together because some common feature, such as steepness, stoniness, or flooding, determines their use and management. If two or more additional map units would serve no useful purpose, they may be included in the same unit. Each delineation has at least one of the major components, and some may have all of them. The same principles regarding the proportion of minor components that apply to consociations also apply to undifferentiated groups. The same principles regarding proportion of inclusion apply to undifferentiated groups as to consociations. The survey is a subset of MLRA 90B, 91A, and 91B. Profile descriptions and transects from the entire MLRA supplement documentation from within the subset. Minimum documentation consists of three or more complete soil profile descriptions for each series added to the legend. In addition, transects were recorded as needed to support correlation decisions. The number of stops in each transect was dependent on the size of the particular map unit and the soil properties involved. A defined standard or level of confidence in the interpretive purity of the map unit delineations is attained by adjusting the kind and intensity of field investigations. Field investigations and data collection are carried out in sufficient detail to name map units and to identify accurately and consistently areas of about 2 acres.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>Entire Ramsey County coverage</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>SSURGO database for Ramsey County was downloaded from USDA's Natural Resource Conservation Service Soil's web site. MapUnit polygons were joined with the following tables in sequence: mapunits, comp, chorizon, texgrp. The results were exported to a FeatureClass and the unwanted fields were removed. The FeatureClass was then imported into a FeatureDataset in the Ramsey County Projection. </stepDesc>
</prcStep>
</dataLineage>
</dqInfo>
<mdExtInfo>
<extOnRes>
<linkage>http://www.mngeo.state.mn.us/committee/standards/mgmg/metadata.htm</linkage>
</extOnRes>
</mdExtInfo>
<eainfo>
<detailed Name="ENIV_SSURGO">
<enttyp>
<enttypl>ENVIR_SSURGO</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">4311</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">10</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>mukey</attrlabl>
<attrdef>MapUnit Key is a unique identifier for records in the mapunit table</attrdef>
<attalias Sync="TRUE">MapUnit Key</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">30</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>muname</attrlabl>
<attrdef>name of the MapUnit</attrdef>
<attalias Sync="TRUE">MapUnit Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">175</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>mukind</attrlabl>
<attrdef>the Kind of MapUnit</attrdef>
<attrdomv>
<edom>
<edomv>Consociation</edomv>
<edomvd>One soil or misc. area</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>Complex</edomv>
<edomvd>Two or more soils or misc. areas; cannot separately delineate the named soils or misc. area components on the map</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>Association</edomv>
<edomvd>Two or more soils or misc. areas; can separately delineate the named soils or misc. area components on the map</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>Undifferentiated Group</edomv>
<edomvd>Two or more soils or misc. areas; a limitation overrides the primary uses to such an extent that a separate map unit is not used for each</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">MapUnit Kind</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>cokey</attrlabl>
<attrdef>Component Key is a unique identifier for records in the component table</attrdef>
<attalias Sync="TRUE">Component Key</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>compname</attrlabl>
<attrdef>Component Name assigned to a component based on its range of properties</attrdef>
<attalias Sync="TRUE">Component Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>comppct_r</attrlabl>
<attrdef>Component Percentage of MapUnit is a representative value of the relative proportion in the associated Map Unit</attrdef>
<attalias Sync="TRUE">Component Percent</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>hydricrating</attrlabl>
<attrdef>Hydric Rating indicates whether a Map Unit component is classified as a hydric soil</attrdef>
<attrdomv>
<edom>
<edomv>Yes</edomv>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>No</edomv>
</edom>
</attrdomv>
<attalias Sync="TRUE">Hydric?</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>geomdesc</attrlabl>
<attrdef>Geomorphic Description is a narrative description of the geomorphic setting of a component</attrdef>
<attalias Sync="TRUE">Geomorphic Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>hydgrp</attrlabl>
<attrdef>Hydrologic Group is a group of soils having similar runoff potential under similar storm and cover conditions</attrdef>
<attrdomv>
<edom>
<edomv>A</edomv>
<edomvd>Soils in this group have low runoff potential when thoroughly wet. Water is transmitted freely through the soil</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>B</edomv>
<edomvd>Soils in this group have moderately low runoff potential when thoroughly wet. Water transmission through the soil is unimpeded</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>C</edomv>
<edomvd>Soils in this group have moderately high runoff potential when thoroughly wet. Water transmission through the soil is somewhat restricted</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>D</edomv>
<edomvd>Soils in this group have high runoff potential when thoroughly wet. Water movement through the soil is restricted or very restricted</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>A/D</edomv>
<edomvd>These soils have low runoff potential when drained and high runoff potential when undrained</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>B/D</edomv>
<edomvd>These soils have moderately low runoff potential when drained and high runoff potential when undrained</edomvd>
</edom>
</attrdomv>
<attrdomv>
<edom>
<edomv>C/D</edomv>
<edomvd>These soils have moderately high runoff potential when drained and high runoff potential when undrained</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">Hydrologic Group</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>chkey</attrlabl>
<attrdef>Component Horizon Key is a unique identifier for records in the horizon table</attrdef>
<attalias Sync="TRUE">Component Horizon Key</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>kffact</attrlabl>
<attrdef>the erodibility factor which quantifies the susceptibility of soil particles to detachment by water</attrdef>
<attalias Sync="TRUE">KFactor</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>chtgkey</attrlabl>
<attrdef>Component Horizon Texture Group Key used as a unique identifier for a record in the Horizon Texture Group table</attrdef>
<attalias Sync="TRUE">Comp Horizon Text Group Key</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>texture</attrlabl>
<attrdef>name for the concatentated texture modifier and class</attrdef>
<attalias Sync="TRUE">Texture Mod &amp; Class</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>texdesc</attrlabl>
<attrdef>the full Texture description for a horizon</attrdef>
<attalias Sync="TRUE">Texture Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GlobalID</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_user</attrlabl>
<attalias Sync="TRUE">created_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_user</attrlabl>
<attalias Sync="TRUE">last_edited_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</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">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="103768">
</identCode>
<idCodeSpace Sync="TRUE">Esri</idCodeSpace>
<idVersion Sync="TRUE">9.0.0</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="ENIV_SSURGO">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">4311</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="ENIV_SSURGO">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">4311</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
