<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230126</CreaDate>
<CreaTime>13011400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230126" Time="130114" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\OH HWHD\OH HWHD.gdb" DB_2_school_base_XYTableToPoint Point DB_2_school_base.csv No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #</Process>
<Process Date="20230126" Time="130114" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint DB_2_school_base.csv "C:\Users\chenry\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\OH HWHD\OH HWHD.gdb\DB_2_school_base_XYTableToPoint" ORG_GEO_LONG_NUM ORG_GEO_LAT_NUM # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>OHHWHD</keyword>
</searchKeys>
<idPurp>OH All Schools</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>DB_2_school_All</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
