<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250501</CreaDate>
<CreaTime>13294400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>water_dnr_hydrography</resTitle>
</idCitation>
<idAbs>A comprehensive, statewide hydrography layer which serves as the base GIS layer for all DNR business needs, including mapping, analysis, reporting, statuatory responsibilities, etc. Examples of uses are regional hydrographic modeling/analysis, basemapping, limnological studies, and linkage to Fisheries data.
</idAbs>
<searchKeys>
<keyword>Hydrography</keyword>
<keyword>Water</keyword>
<keyword>Lakes</keyword>
<keyword>Wetlands</keyword>
<keyword>inlandWaters</keyword>
</searchKeys>
<idPurp>Polygons representing all types of open water basin hydrographic features derived from the Open Water Basins feature class of the DNR Hydrography Dataset</idPurp>
<idCredit>lyn.bergquist@state.mn.us</idCredit>
<resConst>
<Consts>
<useLimit>None</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
