<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="lt">
<Esri>
<CreaDate>20220414</CreaDate>
<CreaTime>13442100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220414" Time="134421" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb sviestuvu_tipai_taskai_III_XYTableToPoint Point sviestuvu_tipai_taskai_III No No "PROJCS['LKS_1994_Lithuania_TM',GEOGCS['GCS_LKS_1994',DATUM['D_Lithuania_1994',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',24.0],PARAMETER['Scale_Factor',0.9998],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5122000 -10000100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 #</Process>
<Process Date="20220414" Time="134422" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint sviestuvu_tipai_taskai_III C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb\sviestuvu_tipai_taskai_III_XYTableToPoint X Y # "PROJCS['LKS_1994_Lithuania_TM',GEOGCS['GCS_LKS_1994',DATUM['D_Lithuania_1994',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',24.0],PARAMETER['Scale_Factor',0.9998],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5122000 -10000100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision"</Process>
<Process Date="20220419" Time="151123" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\EnableAttachments">EnableAttachments C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb\sviestuvu_tipai_taskai_III_XYTableToPoint</Process>
<Process Date="20220425" Time="095255" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "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/2.7.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;sviestuvu_tipai_taskai_III_XYTableToPoint&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" "&lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Įrengimo_tipas&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;field_alias&gt;Įrengimo tipas&lt;/field_alias&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;"</Process>
<Process Date="20220425" Time="095523" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "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/2.7.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;sviestuvu_tipai_taskai_III_XYTableToPoint&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AssignDomainToField&gt;&lt;field_name&gt;Įrengimo_tipas&lt;/field_name&gt;&lt;domain_name&gt;Įrengimo_tipas&lt;/domain_name&gt;&lt;/AssignDomainToField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20220425" Time="113818" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "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/2.7.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\AustejaB\Documents\ArcGIS\Projects\MyProject\GIS_AUSTĖJA\Austejos_duomenys.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;sviestuvu_tipai_taskai_III_XYTableToPoint&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;Šviestuvų_pav_&lt;/field_name&gt;&lt;new_field_name&gt;Pavadinimas&lt;/new_field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;Šviest_&lt;/field_name&gt;&lt;new_field_name&gt;Galingumas&lt;/new_field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;Šviestuvas1&lt;/field_name&gt;&lt;new_field_name&gt;Projektas&lt;/new_field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;Įrengimo_tipas&lt;/field_name&gt;&lt;new_field_name&gt;Tipas&lt;/new_field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;clear_field_alias&gt;False&lt;/clear_field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>vilnius</keyword>
</searchKeys>
<idPurp>Sluoksnyje pateikiami šviestuvų tipai.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Tipai_III</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
