<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20150211</CreaDate>
        <CreaTime>12181600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <ArcGISProfile>ISO19139</ArcGISProfile>
        <DataProperties>
            <itemProps>
                <imsContentType>002</imsContentType>
                <itemName>Gage_Stations_Clip_CopyFeatures</itemName>
                <itemSize>0.003</itemSize>
                <nativeExtBox>
                    <westBL>756170.937500</westBL>
                    <eastBL>1217031.639193</eastBL>
                    <southBL>86431.953125</southBL>
                    <northBL>960857.937500</northBL>
                    <exTypeCode>1</exTypeCode>
                </nativeExtBox>
            </itemProps>
            <coordRef>
                <type>Projected</type>
                <geogcsn>GCS_North_American_1983</geogcsn>
                <projcsn>NAD_1983_StatePlane_New_Hampshire_FIPS_2800_Feet</projcsn>
                <csUnits>Linear Unit: Foot_US (0.304801)</csUnits>
                <peXml>&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/3.1.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_New_Hampshire_FIPS_2800_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,984250.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-71.66666666666667],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9999666666666667],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,42.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3437]]&lt;/WKT&gt;&lt;XOrigin&gt;-17463700&lt;/XOrigin&gt;&lt;YOrigin&gt;-48257000&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121918&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;0.0032808333333333331&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;102710&lt;/WKID&gt;&lt;LatestWKID&gt;3437&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <ModDate>20250213</ModDate>
        <ModTime>14355139</ModTime>
        <PublishStatus>editor:esri.dijit.metadata.editor</PublishStatus>
        <ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
        <MapLyrSync>false</MapLyrSync>
        <SyncOnce>FALSE</SyncOnce>
        <SyncDate>2024-12-02</SyncDate>
        <SyncTime>10550700</SyncTime>
    </Esri>
    <dataIdInfo>
        <idAbs>&lt;p&gt;Index points used by the Instream Flow Program to track compliance with protected instream flow criteria on managed designated rivers. Also includes prospective index points for ongoing studies.&lt;/p&gt;</idAbs>
        <idCitation>
            <resTitle>Index Points</resTitle>
            <date>
                <createDate>2025-02-13T14:30:51.286-05:00</createDate>
            </date>
            <presForm>
                <PresFormCd value="005"/>
            </presForm>
        </idCitation>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL>-72.6443</westBL>
                    <eastBL>-70.4581</eastBL>
                    <northBL>45.383</northBL>
                    <southBL>42.6824</southBL>
                    <exTypeCode>1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
        <dataExt>
            <geoEle>
                <GeoBndBox>
                    <westBL>-72.6443</westBL>
                    <eastBL>-70.4581</eastBL>
                    <northBL>45.383</northBL>
                    <southBL>42.6824</southBL>
                    <exTypeCode>1</exTypeCode>
                </GeoBndBox>
            </geoEle>
        </dataExt>
        <idPoC>
            <rpIndName>Instream Flow Program</rpIndName>
            <rpOrgName>New Hampshire Department of Environmental Services</rpOrgName>
            <role>
                <RoleCd value="007"/>
            </role>
            <rpCntInfo>
                <cntAddress addressType="both">
                    <eMailAdd>InstreamFlow@des.nh.gov</eMailAdd>
                    <delPoint>29 Hazen Drive; PO Box 95</delPoint>
                    <city>Concord</city>
                    <adminArea>New Hampshire</adminArea>
                    <postCode>03302-0095</postCode>
                    <country>US</country>
                </cntAddress>
            </rpCntInfo>
        </idPoC>
        <searchKeys>
            
            
            
            
            
            
            
        <keyword>index</keyword><keyword>point</keyword><keyword>designated</keyword><keyword>river</keyword><keyword>instream</keyword><keyword>flow</keyword><keyword>protected</keyword></searchKeys>
        <idPurp>Index points used by the Instream Flow Program to track compliance with protected instream flow criteria on managed designated rivers. Also includes prospective index points for ongoing studies.</idPurp>
        <idCredit>USGS - National Hydrography Dataset, NHDES, DRA - MOSAIC Project</idCredit>
        <resConst>
            <Consts>
                <useLimit>&lt;p&gt;&lt;span style="color:#000000;font-family:&amp;quot;Calibri&amp;quot;,sans-serif;font-size:11.0pt;"&gt;&lt;span style="line-height:107%;"&gt;The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is to be used as a primary reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, state, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions they make. Photographic or digital enlargement of these maps to scales greater than that at which they were originally delineated can cause misrepresentation of the data. If enlarged, the maps will not include the fine detail that would be appropriate for mapping at the small scale. Digital data files are periodically updated, and users are responsible for obtaining the latest version of the data.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</useLimit>
            </Consts>
        </resConst>
        <resConst>
            <LegConsts>
                <accessConsts>
                    <RestrictCd value="008"/>
                </accessConsts>
                <othConsts>Other Constraints</othConsts>
            </LegConsts>
        </resConst>
        <resConst>
            <LegConsts>
                <useConsts>
                    <RestrictCd value="008"/>
                </useConsts>
                <othConsts>Other Constraints</othConsts>
            </LegConsts>
        </resConst>
        <dataLang>
            <languageCode value="eng"/>
            <countryCode value="US"/>
        </dataLang>
        <dataChar>
            <CharSetCd value="004"/>
        </dataChar>
        <spatRpType>
            <SpatRepTypCd value="001"/>
        </spatRpType>
        <envirDesc>Esri ArcGIS 13.1.2.41833</envirDesc>
        <idStatus>
            <ProgCd value="001"/>
        </idStatus>
        <graphOver>
            <bgFileName>https://nhdes.maps.arcgis.com/home/item.html?id=06b7e089ce074af3a629fa39bde60f5c/info/thumbnail</bgFileName>
            <bgFileDesc>browse graphic</bgFileDesc>
            <bgFileType>JPEG</bgFileType>
        </graphOver>
        <resMaint>
            <maintFreq>
                <MaintFreqCd value="009"/>
            </maintFreq>
        </resMaint>
        <tpCat>
            <TopicCatCd value="007"/>
        </tpCat>
        <tpCat>
            <TopicCatCd value="012"/>
        </tpCat>
    </dataIdInfo>
    <mdLang>
        <languageCode value="eng"/>
    </mdLang>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdHrLvName>dataset</mdHrLvName>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">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</Data>
        </Thumbnail>
    </Binary>
    <mdFileID>1739474867222r47891570269579375</mdFileID>
    <mdChar>
        <CharSetCd value="004"/>
    </mdChar>
    <mdDateSt>2025-02-13</mdDateSt>
    <mdTimeSt>14:27:46.83</mdTimeSt>
    <mdContact>
        <rpIndName>Instream Flow Program</rpIndName>
        <rpOrgName>New Hampshire Department of Environmental Services</rpOrgName>
        <role>
            <RoleCd value="007"/>
        </role>
        <rpCntInfo>
            <cntAddress addressType="both">
                <eMailAdd>InstreamFlow@des.nh.gov</eMailAdd>
                <delPoint>29 Hazen Drive; PO Box 95</delPoint>
                <city>Concord</city>
                <adminArea>New Hampshire</adminArea>
                <postCode>03302-0095</postCode>
                <country>US</country>
            </cntAddress>
        </rpCntInfo>
    </mdContact>
    <distInfo>
        <distTranOps>
            <onLineSrc>
                <linkage>https://services1.arcgis.com/MAcUimSes4gPY4sM/ArcGIS/rest/services</linkage>
                <protocol>GeoService</protocol>
                <orName>GeoServices REST API</orName>
                <orDesc>Web service using the open specification of the Open Web Foundation  http://geoservices.github.io/</orDesc>
            </onLineSrc>
            <onLineSrc>
                <linkage>https://nhdes.maps.arcgis.com/home/item.html?id=06b7e089ce074af3a629fa39bde60f5c</linkage>
                <protocol>webpage</protocol>
                <appProfile>ArcGIS Item page</appProfile>
                <orName>The ArcGIS Item supports download of multiple files formats</orName>
            </onLineSrc>
            <transSize>0.003</transSize>
        </distTranOps>
        <distFormat>
            <formatName>File Geodatabase Feature Class</formatName>
            <formatVer>Feature Class</formatVer>
        </distFormat>
        <distributor>
            <distorTran>
                <onLineSrc>
                    <linkage>withheld</linkage>
                    <protocol>Local Area Network</protocol>
                    <orDesc>002</orDesc>
                </onLineSrc>
                <transSize>0.003</transSize>
            </distorTran>
            <distorFormat>
                <formatName>Shapefile</formatName>
                <formatVer>Shapefile</formatVer>
            </distorFormat>
            <distorCont>
                <rpOrgName>New Hampshire Department of Environmental Services</rpOrgName>
                <role>
                    <RoleCd value="007"/>
                </role>
            </distorCont>
        </distributor>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="3437"/>
                <idCodeSpace>EPSG</idCodeSpace>
                <idVersion>6.12(9.3.0.0)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <mdMaint>
        <maintFreq>
            <MaintFreqCd value="009"/>
        </maintFreq>
    </mdMaint>
    <eainfo>
        <detailed Name="Gage_Stations_Clip_CopyFeatures">
            <enttyp>
                <enttypl>USGS_Gage_Stations</enttypl>
                <enttypt>Feature Class</enttypt>
                <enttypc>0</enttypc>
            </enttyp>
            <attr>
                <attrlabl>OBJECTID</attrlabl>
                <attalias>OBJECTID</attalias>
                <attrdef>Internal feature number.</attrdef>
                <attrdefs>Esri</attrdefs>
                <attrtype>OID</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
                <attrdomv>
                    <udom>Sequential unique whole numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Shape</attrlabl>
                <attalias>Shape</attalias>
                <attrdef>Feature geometry.</attrdef>
                <attrdefs>ESRI</attrdefs>
                <attrtype>Geometry</attrtype>
                <attwidth>0</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
                <attrdomv>
                    <udom>Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>AREA</attrlabl>
                <attalias>AREA</attalias>
                <attrdef>area</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>Double</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>PERIMETER</attrlabl>
                <attalias>PERIMETER</attalias>
                <attrdef>perimeter</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>Double</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>GAGES83_</attrlabl>
                <attalias>GAGES83_</attalias>
                <attrdef>included in the 1983 gage list</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>Double</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>GAGES83_ID</attrlabl>
                <attalias>GAGES83_ID</attalias>
                <attrdef>ID in the 1983 gage list</attrdef>
                <attrtype>Double</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>STAT_ID</attrlabl>
                <attalias>Station ID</attalias>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>11</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TOWN</attrlabl>
                <attalias>Town</attalias>
                <attrdef>Town</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>35</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TILE_</attrlabl>
                <attalias>TILE_</attalias>
                <attrdef>tile</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>STATEID</attrlabl>
                <attalias>STATEID</attalias>
                <attrdef>State ID</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>Integer</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>LAT</attrlabl>
                <attalias>Latitude</attalias>
                <attrdef>Latitude</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>LONG</attrlabl>
                <attalias>Longitude</attalias>
                <attrdef>Longitude</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>STAT_NAME</attrlabl>
                <attalias>Station Name</attalias>
                <attrdef>Station Name</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>55</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>STATUS</attrlabl>
                <attalias>Status</attalias>
                <attrdef>Active or Inactive</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TYPE1</attrlabl>
                <attalias>TYPE1</attalias>
                <attrdef>type for iteration 1</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TELEM1</attrlabl>
                <attalias>TELEM1</attalias>
                <attrdef>telemetry for iteration 1</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>PURPOSE1</attrlabl>
                <attalias>PURPOSE1</attalias>
                <attrdef>purpose of iteration 1</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>14</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>FUNDING1</attrlabl>
                <attalias>FUNDING1</attalias>
                <attrdef>funding for iteration 1</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>11</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YRBEGIN1</attrlabl>
                <attalias>YRBEGIN1</attalias>
                <attrdef>year iteration 1 began</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YREND1</attrlabl>
                <attalias>YREND1</attalias>
                <attrdef>year iteration 1 ended</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TOTRECRD1</attrlabl>
                <attalias>TOTRECRD1</attalias>
                <attrdef>number of records in iteration 1</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TYPE2</attrlabl>
                <attalias>TYPE2</attalias>
                <attrdef>a</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TELEM2</attrlabl>
                <attalias>TELEM2</attalias>
                <attrdef>telemetry for iteration 2</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>PURPOSE2</attrlabl>
                <attalias>PURPOSE2</attalias>
                <attrdef>purpose for iteration 2</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>14</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>FUNDING2</attrlabl>
                <attalias>FUNDING2</attalias>
                <attrdef>funding for iteration 2</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>11</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YRBEGIN2</attrlabl>
                <attalias>YRBEGIN2</attalias>
                <attrdef>year iteration 2 began</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YREND2</attrlabl>
                <attalias>YREND2</attalias>
                <attrdef>year iteration 2 ended</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TOTRECRD2</attrlabl>
                <attalias>TOTRECRD2</attalias>
                <attrdef>number of records for iteration 2</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TYPE3</attrlabl>
                <attalias>TYPE3</attalias>
                <attrdef>operator of iteration 3</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TELEM3</attrlabl>
                <attalias>TELEM3</attalias>
                <attrdef>telemetry for iteration 3</attrdef>
                <attrtype>String</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>PURPOSE3</attrlabl>
                <attalias>PURPOSE3</attalias>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>14</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>FUNDING3</attrlabl>
                <attalias>FUNDING3</attalias>
                <attrdef>funding for iteration 3</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>11</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YRBEGIN3</attrlabl>
                <attalias>YRBEGIN3</attalias>
                <attrdef>year iteration 3 began</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YREND3</attrlabl>
                <attalias>YREND3</attalias>
                <attrdef>year iteration 3 ended</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TOTRECRD3</attrlabl>
                <attalias>TOTRECRD3</attalias>
                <attrdef>number of records during iteration 3</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TYPE4</attrlabl>
                <attalias>TYPE4</attalias>
                <attrdef>operator of iteration 4</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TELEM4</attrlabl>
                <attalias>TELEM4</attalias>
                <attrdef>telemetry used in iteration 4</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>4</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>PURPOSE4</attrlabl>
                <attalias>PURPOSE4</attalias>
                <attrdef>purpose for iteration 4</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>14</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>FUNDING4</attrlabl>
                <attalias>FUNDING4</attalias>
                <attrdef>funding for iteration 4</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>11</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YRBEGIN4</attrlabl>
                <attalias>YRBEGIN4</attalias>
                <attrdef>year iteration 4 began</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>YREND4</attrlabl>
                <attalias>YREND4</attalias>
                <attrdef>year iteration 4 ended</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>TOTRECRD4</attrlabl>
                <attalias>TOTRECRD4</attalias>
                <attrdef>total records in iteration 4</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>SmallInteger</attrtype>
                <attwidth>2</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>DRNAREA</attrlabl>
                <attalias>Drainage Area</attalias>
                <attrdef>Drainage Basin Area, square miles</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>Double</attrtype>
                <attwidth>8</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>USGS_ACTIVE</attrlabl>
                <attalias>USGS_ACTIVE</attalias>
                <attrdef>Active USGS Gage?</attrdef>
                <attrdefs>a</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>255</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
            <attr>
                <attrlabl>WEBPAGE</attrlabl>
                <attalias>Webpage</attalias>
                <attrdef>link to webpage</attrdef>
                <attrdefs>internet</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>255</attwidth>
                <atprecis>0</atprecis>
                <attscale>0</attscale>
            </attr>
        </detailed>
    </eainfo>
    <mdConst>
        <Consts>
            <useLimit>User is required to read metadata completely before using the data. The information provided in this coverage is a subset of spatial databases developed by the New Hampshire Department of Environmental Services (NHDES). The data presented is under constant revision and may not depict the most up to date information. The NHDES is not responsible for the use or interpretation of this information, or for any inaccuracies in the site names, tax map and lot information, or locations. All information is subject to verification. These data are to be used for screening purposes only. Distribution is discouraged.</useLimit>
        </Consts>
    </mdConst>
    <spatRepInfo>
        <VectSpatRep>
            <topLvl>
                <TopoLevCd value="001"/>
            </topLvl>
            <geometObjs Name="Gage_Stations_Clip_CopyFeatures">
                <geoObjTyp>
                    <GeoObjTypCd value="004"/>
                </geoObjTyp>
                <geoObjCnt Sync="FALSE">1</geoObjCnt>
            </geometObjs>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="Gage_Stations_Clip_CopyFeatures">
                <efeatyp>Simple</efeatyp>
                <efeageom code="1"/>
                <esritopo>FALSE</esritopo>
                <efeacnt>0</efeacnt>
                <spindex>TRUE</spindex>
                <linrefer>FALSE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
</metadata>