<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>USGS</origin>
<pubdate>19990101</pubdate>
<title>Mercalli Intensity Shapefile Polygons</title>
<geoform>Vector Digital Data Set (Polygon)</geoform>
</citeinfo>
</citation>
<descript>
<abstract>Earthquake Mercalli Instensity Polygon Shapefiles</abstract>
<purpose>Ground Motion Metric</purpose>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>19990101</begdate>
<enddate>Present</enddate>
</rngdates>
</timeinfo>
<current>ground condition</current>
</timeperd>
<status>
<progress>In work</progress>
<update>As needed</update>
</status>
<spdom>
<bounding>
<westbc>0</westbc>
<eastbc>0</eastbc>
<northbc>0</northbc>
<southbc>0</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>None</themekt>
<themekey>earthquake</themekey>
</theme>
</keywords>
<accconst>None. Please see 'Distribution Info' for details.</accconst>
<useconst>None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>
<ptcontac>
<cntinfo>
<cntorgp>
<cntorg>U.S. Geological Survey, NORTHWEST REGION</cntorg>
<cntper>Charles B Worden</cntper>
</cntorgp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>Mail Stop MS 966, 1711 Illinois St</address>
<city>Golden</city>
<state>CO</state>
<postal>80401</postal>
</cntaddr>
<cntvoice/>
<cntemail>cbworden@contractor.usgs.gov</cntemail>
</cntinfo>
</ptcontac>
<native>Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)</native>
</idinfo>
<dataqual>
<attracc>
<attraccr>No formal attribute accuracy tests were conducted.</attraccr>
</attracc>
<logic>No formal logical accuracy tests were conducted.</logic>
<complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete>
<posacc>
<horizpa>
<horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar>
</horizpa>
<vertacc>
<vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr>
</vertacc>
</posacc>
<lineage>
<procstep>
<procdesc>Development of the data set by the agency / individuals identified in the 'Originator' element in the Identification Info section of the record.</procdesc>
<procdate>19990101</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>Vector</direct>
<ptvctinf>
<esriterm Name="vut_ShakeMap_mmi_USGS_20241217">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">FALSE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geograph>
<latres>0</latres>
<longres>0</longres>
<geogunit>Decimal seconds</geogunit>
</geograph>
<geodetic>
<horizdn>D_WGS_1984</horizdn>
<ellips>WGS_1984</ellips>
<semiaxis>6378137.0</semiaxis>
<denflat>298.257223563</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed Name="vut_ShakeMap_mmi_USGS_20241217">
<enttyp>
<enttypl>Attribute Table</enttypl>
<enttypd>Table containing attribute information associated with the data set.</enttypd>
<enttypds>Producer defined</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">FID</attrlabl>
<attalias Sync="TRUE">FID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>AREA</attrlabl>
<attrdef>Unknown</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Unknown</udom>
</attrdomv>
<attalias Sync="TRUE">AREA</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>PERIMETER</attrlabl>
<attrdef>Unknown</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Unknown</udom>
</attrdomv>
<attalias Sync="TRUE">PERIMETER</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>PGAPOL_</attrlabl>
<attrdef>Unknown</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Unknown</udom>
</attrdomv>
<attalias Sync="TRUE">PGAPOL_</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>PGAPOL_ID</attrlabl>
<attrdef>Unknown</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Unknown</udom>
</attrdomv>
<attalias Sync="TRUE">PGAPOL_ID</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GRID_CODE</attrlabl>
<attrdef>Mercalli Intensity of Polygon (binned)</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Mercalli Intensity of Polygon (binned)</udom>
</attrdomv>
<attalias Sync="TRUE">GRID_CODE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>PARAMVALUE</attrlabl>
<attrdef>Mercalli Intensity of Polygon</attrdef>
<attrdefs>Producer defined</attrdefs>
<attrdomv>
<udom>Mercalli Intensity of Polygon</udom>
</attrdomv>
<attalias Sync="TRUE">PARAMVALUE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
<overview>
<eaover>The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set.</eaover>
<eadetcit>The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.</eadetcit>
</overview>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>U.S. Geological Survey, NORTHWEST REGION</cntorg>
<cntper>Charles B Worden</cntper>
</cntorgp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>Mail Stop MS 966, 1711 Illinois St</address>
<city>Golden</city>
<state>CO</state>
<postal>80401</postal>
</cntaddr>
<cntvoice/>
<cntemail>cbworden@contractor.usgs.gov</cntemail>
</cntinfo>
</distrib>
<distliab>Distributor assumes no liability for misuse of data.</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>Vector Digital Data Set (Polygon)</formname>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>http://earthquake.usgs.gov/data/shakemap/</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<fees>None. No fees are applicable for obtaining the data set.</fees>
</stdorder>
</distinfo>
<metainfo>
<metd>20160329</metd>
<metc>
<cntinfo>
<cntperp>
<cntper>Charles B Worden</cntper>
<cntorg>U.S. Geological Survey, NORTHWEST REGION</cntorg>
</cntperp>
<cntaddr>
<addrtype>mailing address</addrtype>
<address>Mail Stop MS 966, 1711 Illinois St</address>
<city>Golden</city>
<state>CO</state>
<postal>80401</postal>
</cntaddr>
<cntvoice/>
<cntemail>cbworden@contractor.usgs.gov</cntemail>
</cntinfo>
</metc>
<metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
</metainfo>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Vanuatu_Earthquake Intensity Level_20241217</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>VUT</keyword>
</searchKeys>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<Esri>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">vut_ShakeMap_mmi_USGS_20241217</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\WFPITROMPW06YY4\C$\Users\sabina.tyulyuova\OneDrive - World Food Programme\Shared Documents - GeoSharePoint\RBB\VUT\Data\EQ_20241217\vut_ShakeMap_mmi_USGS_20241217.shp</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.3.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;11258999068426.238&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20241217" Time="142115" ToolSource="c:\users\sabina.tyulyuova\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures mi C:\Users\sabina.tyulyuova\AppData\Local\Temp\ArcGISProTemp30624\Untitled\Default.gdb\mi_ExportFeatures # NOT_USE_ALIAS "AREA "AREA" true true false 13 Double 3 12,First,#,mi,AREA,-1,-1;PERIMETER "PERIMETER" true true false 14 Double 3 13,First,#,mi,PERIMETER,-1,-1;PGAPOL_ "PGAPOL_" true true false 12 Double 0 12,First,#,mi,PGAPOL_,-1,-1;PGAPOL_ID "PGAPOL_ID" true true false 12 Double 0 12,First,#,mi,PGAPOL_ID,-1,-1;GRID_CODE "GRID_CODE" true true false 12 Double 0 12,First,#,mi,GRID_CODE,-1,-1;PARAMVALUE "PARAMVALUE" true true false 14 Double 4 13,First,#,mi,PARAMVALUE,-1,-1" #</Process>
<Process Date="20241217" Time="142902" ToolSource="c:\users\sabina.tyulyuova\appdata\local\programs\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures vut_ShakeMap_mmi_USGS_20241217 "C:\Users\sabina.tyulyuova\OneDrive - World Food Programme\Shared Documents - GeoSharePoint\RBB\VUT\Data\EQ_20241217\vut_ShakeMap_mmi_USGS_20241217.shp" # NOT_USE_ALIAS "AREA "AREA" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,AREA,-1,-1;PERIMETER "PERIMETER" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,PERIMETER,-1,-1;PGAPOL_ "PGAPOL_" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,PGAPOL_,-1,-1;PGAPOL_ID "PGAPOL_ID" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,PGAPOL_ID,-1,-1;GRID_CODE "GRID_CODE" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,GRID_CODE,-1,-1;PARAMVALUE "PARAMVALUE" true true false 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,PARAMVALUE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,vut_ShakeMap_mmi_USGS_20241217,Shape_Area,-1,-1" #</Process>
</lineage>
</DataProperties>
<SyncDate>20241217</SyncDate>
<SyncTime>14290200</SyncTime>
<ModDate>20241217</ModDate>
<ModTime>14290200</ModTime>
</Esri>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="vut_ShakeMap_mmi_USGS_20241217">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<mdDateSt Sync="TRUE">20241217</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
