<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  	
  <Esri>
    		
    <CreaDate>20220120</CreaDate>
    		
    <CreaTime>17274900</CreaTime>
    		
    <ArcGISFormat>1.0</ArcGISFormat>
    		
    <SyncOnce>TRUE</SyncOnce>
    	
  </Esri>
  	
  <dataIdInfo>
    		
    <idCitation>
      			
      <resTitle>NHD Points</resTitle>
      		
    </idCitation>
    		
    <idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;NHDPoint contains hydrography related point features.  This points include the types Dam/Weir, Gaging Station, Sink/Rise, Spring/Seep, Rapids, Rock, and Waterfall.  The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.  For additional information on the NHD, go to https://www.usgs.gov/core-science-systems/ngp/national-hydrography/national-hydrography-dataset?qt-science_support_page_related_con=0 - qt-science_support_page_related_con.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</idAbs>
    		
    <idCredit>USGS, IDWR</idCredit>
    		
    <idPurp>Features in the NHDPoint feature class.  This class contains hydrography related point features.  This points include the types Dam/Weir, Gaging Station, Sink/Rise, Spring/Seep, Rapids, Rock, and Waterfall.</idPurp>
    		
    <resConst>
      			
      <Consts>
        				
        <useLimit>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</useLimit>
        			
      </Consts>
      		
    </resConst>
    		
    <searchKeys>
      			
			
			
			
			
			
			
		
      <keyword>Points</keyword>
      <keyword>Springs</keyword>
      <keyword>National Hydrography Dataset</keyword>
      <keyword>NHD</keyword>
      <keyword>USGS</keyword>
      <keyword>US Geological Survey 1:24000</keyword>
      <keyword>24k</keyword>
    </searchKeys>
    	
  </dataIdInfo>
  	
  <Binary>
    		
    <Thumbnail>
      			
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
      		
    </Thumbnail>
    	
  </Binary>
  
</metadata>
