<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260701</CreaDate>
<CreaTime>14073600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>NYS Streets</resTitle>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;A vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and includes a related table of alternate/alias street names. If the purpose of using NYS Streets is for geocoding, the New York State Office of Information Technology Services (NYS ITS) has a publicly available geocoding service which includes the NYS Streets along with other layers. For more information about the geocoding service, please visit &lt;/span&gt;&lt;a href='https://gis.ny.gov/nys-geocoding-service' target='_blank' style='text-decoration:underline;'&gt;&lt;span&gt;https://gis.ny.gov/nys-geocoding-service&lt;/span&gt;&lt;/a&gt;&lt;span&gt;. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;For more information about the SAM Program, please visit: &lt;/span&gt;&lt;a href='https://gis.ny.gov/streets-addresses' target='_blank' style='text-decoration:underline;'&gt;&lt;span&gt;https://gis.ny.gov/streets-addresses&lt;/span&gt;&lt;/a&gt;&lt;span&gt;. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Publication Date: See Update Frequency. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Current as of Date: 2 business days prior to Publication Date. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Update frequency: Second and fourth Fridays of each month. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;This map service is available to the public. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Spatial Reference of Source Data: NAD_1983_UTM_Zone_18N. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary Sphere.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;NYS ITS Geospatial Services | Telephone: (518) 242-5029 | Email: &lt;/span&gt;&lt;a href='mailto:its.sm.SAM.Maintenance@its.ny.gov' target='_blank' style='text-decoration:underline;'&gt;&lt;span&gt;its.sm.SAM.Maintenance@its.ny.gov&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Roads</keyword>
<keyword>Centerlines</keyword>
<keyword>Streets</keyword>
<keyword>Segments</keyword>
<keyword>NGDA Portfolio Theme</keyword>
<keyword>NGDA</keyword>
<keyword>National Geospatial Data</keyword>
</searchKeys>
<idPurp>A vector street layer suitable for use in a GIS.</idPurp>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current, or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<idCredit/>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdDateSt Sync="TRUE">20260817</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
