20150213 14145400 FALSE 20200305 11584700 20200305 11584700 Buildings 002 0.000 Projected GCS_North_American_1983 NAD_1983_StatePlane_Rhode_Island_FIPS_3800_Feet <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/10.5'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Rhode_Island_FIPS_3800_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,328083.3333333333],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-71.5],PARAMETER[&quot;Scale_Factor&quot;,0.99999375],PARAMETER[&quot;Latitude_Of_Origin&quot;,41.08333333333334],UNIT[&quot;Foot_US&quot;,0.3048006096012192]],VERTCS[&quot;NAD_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-18120300</XOrigin><YOrigin>-47742100</YOrigin><XYScale>137242312.64623272</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102730</WKID><LatestWKID>3438</LatestWKID><VCSWKID>115702</VCSWKID><LatestVCSWKID>115702</LatestVCSWKID></ProjectedCoordinateSystem> Linear Unit: Foot_US (0.304801) 1.0 FGDC CSDGM Metadata ESRI ArcCatalog 9.3.1.4000 en REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. Building_SpatialJoin Building_SpatialJoin vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Personal GeoDatabase Feature Class Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 Buildings 002 REQUIRED: A brief narrative summary of the data set.REQUIRED: A summary of the intentions with which the data set was developed.002 en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20100924 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 002 withheld Local Area Network Personal GeoDatabase Feature Class Shapefile 0.000 Vector Simple FALSE 0 FALSE FALSE GCS_North_American_1983 NAD_1983_StatePlane_Rhode_Island_FIPS_3800_Feet coordinate pair survey feet 0.000328 0.000328 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Explicit elevation coordinate included with horizontal coordinates 1.000000 NAD_1983_StatePlane_Rhode_Island_FIPS_3800_Feet EPSG 6.12(9.3.0.0) 0 Buildings Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. NAME NAME String 50 0 0 BLDG_ELEV BLDG_ELEV Double 19 0 0 GRD_ELEV GRD_ELEV Double 19 0 0 BLDG_HGT BLDG_HGT Double 19 0 0 DEMO DEMO String 5 0 0 LastUpdate LastUpdate Date 8 0 0 Source Source String 50 0 0 Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Shape_STAr Shape_STAr Double 19 0 0 Shape_STLe Shape_STLe Double 19 0 0 20200305 Dataset copied. withheld 20100922 15065100 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