<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230309</CreaDate>
<CreaTime>10083100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230309" Time="100831" ToolSource="c:\users\yesenchr\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass V:\D_Users\100_Yesenchak\CM_Dashboard_Data\CM_Dashboard_Map\CM_Dashboard_Map.gdb Coalqual_Data_Status Point Coalqual_Data_Status.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="20230309" Time="101121" ToolSource="c:\users\yesenchr\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint Coalqual_Data_Status.csv V:\D_Users\100_Yesenchak\CM_Dashboard_Data\CM_Dashboard_Map\CM_Dashboard_Map.gdb\Coalqual_Data_Status Longitude Latitude # "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>
<Process Date="20230309" Time="102127" ToolSource="c:\users\yesenchr\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddIndex">AddIndex "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.0.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=V:\D_Users\100_Yesenchak\CM_Dashboard_Data\CM_Dashboard_Map\CM_Dashboard_Map.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Coalqual_Data_Status&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" State_FIPS CQ_DS_State_Index NON_UNIQUE NON_ASCENDING</Process>
<Process Date="20230309" Time="102356" ToolSource="c:\users\yesenchr\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddIndex">AddIndex "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.0.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=V:\D_Users\100_Yesenchak\CM_Dashboard_Data\CM_Dashboard_Map\CM_Dashboard_Map.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Coalqual_Data_Status&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" Cnty_State_FIPS CQ_DS_County_Index NON_UNIQUE NON_ASCENDING</Process>
<Process Date="20230309" Time="102637" ToolSource="c:\users\yesenchr\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddIndex">AddIndex "CIMDATA=&lt;CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.0.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=V:\D_Users\100_Yesenchak\CM_Dashboard_Data\CM_Dashboard_Map\CM_Dashboard_Map.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Coalqual_Data_Status&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" SedBasin_Name CQ_DS_SedBasin_Index NON_UNIQUE NON_ASCENDING</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>coal</keyword>
<keyword>critical minerals</keyword>
</searchKeys>
<idPurp>USGS Coalqual database</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Coalqual_Data_Status</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
