<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230606</CreaDate>
<CreaTime>13065300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">QAR_FoodRegionsbyTown</itemName>
<nativeExtBox>
<westBL Sync="TRUE">243742.096600</westBL>
<eastBL Sync="TRUE">667255.187400</eastBL>
<southBL Sync="TRUE">4752815.499700</southBL>
<northBL Sync="TRUE">5256292.500000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<relatedItems>
<item>
<itemName Sync="FALSE">GeocodesMetwp24P</itemName>
<itemType Sync="TRUE">Relationship</itemType>
</item>
<item>
<itemName Sync="FALSE">GeocodesMetwp24P</itemName>
<itemType Sync="TRUE">Relationship</itemType>
</item>
</relatedItems>
<imsContentType Sync="TRUE">002</imsContentType>
</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/2.9.0'&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;999999999.99999988&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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>
</DataProperties>
<SyncDate>20230606</SyncDate>
<SyncTime>13100500</SyncTime>
<ModDate>20230606</ModDate>
<ModTime>13100500</ModTime>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<eainfo>
<detailed Name="QAR_FoodRegionsbyTown">
<enttyp>
<enttypl Sync="FALSE">QAR_FoodRegionsbyTown</enttypl>
<enttypd>polygon feature class</enttypd>
<enttypds>Environmental Systems Research Institute, Inc. (ESRI)</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl>TOWN</attrlabl>
<attrdef>town or reservation name as listed in "Standard Geographic Code for Maine Minor Civil Divisions"</attrdef>
<attrdefs>For a current digital copy of "Standard Geocodes for Maine Minor Civil Divisions" in .dbf or comma delimited text format see http://megis.maine.gov/catalog "Tables" link.</attrdefs>
<attalias Sync="TRUE">TOWN</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>COUNTY</attrlabl>
<attrdef>Maine county name</attrdef>
<attrdefs>Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) For a current digital copy of "Standard Geocodes for Maine Minor Civil Divisions" in .dbf or comma delimited text format see http://megis.maine.gov/catalog "Tables" link.</attrdefs>
<attalias Sync="TRUE">COUNTY</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CIREG</attrlabl>
<attrdef>Coastal Island Registry Number indicator (The format used to establish an ISLANDID for each island, is the same as that used for Coastal Island Registry (CIREG) numbers. Not all islands are part of the registry. CIREG numbers are therefore, a subset of ISLANDID. Where a CIREG number exists, the item CIREG is flagged 'y' and the ISLANDID is also the CIREG number for the island.)</attrdef>
<attrdefs>Title33 Chapter 25 section 1201,&lt;http://janus.state.me.us/legis/statutes/&gt;, refer to "Maine Revised Statutes Annotated" and supplements for complete certified text. The Coastal Island Registry was established within the Bureau of Parks and Lands, under the Director of the Bureau of Parks and Lands, to maintain a listing, index number, and description of all coastal islands.</attrdefs>
<attrdomv>
<edom>
<edomv>n</edomv>
<edomvd>a Coastal Island Registry number does not exist for this island</edomvd>
</edom>
<edom>
<edomv>y</edomv>
<edomvd>ISLANDID also represents a Coastal Island Registry number</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">CIREG</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LAND</attrlabl>
<attrdef>identifies land and non-land areas</attrdef>
<attrdefs>MEGIS</attrdefs>
<attrdomv>
<edom>
<edomv>y</edomv>
<edomvd>polygon represents land</edomvd>
</edom>
<edom>
<edomv>n</edomv>
<edomvd>polygon represents fresh, estuarine or marine waters</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">LAND</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>ISLAND</attrlabl>
<attrdef>identifies island polygons</attrdef>
<attrdefs>MEGIS</attrdefs>
<attrdomv>
<edom>
<edomv>y</edomv>
<edomvd>coastal, lake or river island</edomvd>
</edom>
<edom>
<edomv>n</edomv>
<edomvd>non-island</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">ISLAND</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>TAG</attrlabl>
<attrdef>item used to select a single feature for labeling purposes</attrdef>
<attrdefs>MEGIS</attrdefs>
<attrdomv>
<edom>
<edomv>y</edomv>
<edomvd>Use point for labeling.</edomvd>
</edom>
<edom>
<edomv>n</edomv>
<edomvd>Do not use point for labeling.</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">TAG</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GEOCODE</attrlabl>
<attrdef>5 character code corresponding to the "Standard Geographic Code for Maine Counties and Minor Civil Divisions", 1971</attrdef>
<attrdefs>MEGIS</attrdefs>
<attalias Sync="TRUE">GEOCODE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>TYPE</attrlabl>
<attrdef>Type of polygon</attrdef>
<attalias Sync="TRUE">TYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>MEGIS</attrdefs>
</attr>
<attr>
<attrlabl>LURC</attrlabl>
<attrdef>identifies areas of state which are under Maine Land Use Regulation Commission (LURC) jurisdiction</attrdef>
<attrdefs>Maine Department of Conservation; Land Use Regulatory Commission</attrdefs>
<attrdomv>
<edom>
<edomv>y</edomv>
<edomvd>area recorded as LURC jurisdiction</edomvd>
</edom>
<edom>
<edomv>n</edomv>
<edomvd>area not recorded as LURC jurisdiction</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">LURC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>ISLANDID</attrlabl>
<attrdef>a unique ISLANDID for each marine island (The format used to establish an ISLANDID for each island, is the same as that used for Coastal Island Registry (CIREG) numbers. Not all islands are part of the registry. CIREG numbers are therefore, a subset of ISLANDID. Where a CIREG number exists, the item CIREG is flagged 'y' and the ISLANDID is also the CIREG number for the island.)</attrdef>
<attrdefs>Maine Department of Inland Fisheries and Wildlife</attrdefs>
<attalias Sync="TRUE">ISLANDID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">16</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_user</attrlabl>
<attalias Sync="TRUE">created_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_user</attrlabl>
<attalias Sync="TRUE">last_edited_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">region_number</attrlabl>
<attalias Sync="TRUE">Region Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">region_name</attrlabl>
<attalias Sync="TRUE">Region Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">55</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">inspector</attrlabl>
<attalias Sync="TRUE">inspector</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">inspector_type</attrlabl>
<attalias Sync="TRUE">inspector_type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>BAXTER</attrlabl>
<attrdef>identifies areas within the jurisdiction of Baxter State Park Authority (BSPA)</attrdef>
<attrdefs>BSPA</attrdefs>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>area under BSPA jurisdiction</edomvd>
</edom>
<edom>
<edomv>0</edomv>
<edomvd>area not under BSPA jurisdiction</edomvd>
</edom>
</attrdomv>
<attalias Sync="TRUE">BAXTER</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GlobalID</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
<overview>
<eaover>POLYGONS in METWP24 are attributed with the items TOWN, COUNTY, GEOCODE, and CNTYCODE as found in "Standard Geographic Codes for Maine Minor Civil Divisions". METWP24 also contains the item CIREG flagging those islands whose ISLANDID is also a Maine Department of Conservation, Bureau of Parks and Lands, Coastal Island Registry (CIREG) number. </eaover>
<eadetcit>The ArcView shapefile and ArcGIS geodatabase formats, commonly used for Maine GIS data, carry default identifiers and attributes that are software generated and/or important for internal recordkeeping. These are listed here to avoid repetition for every layer, and may not be repeated in the attribute descriptions and definitions of each layer. Common software generated identifiers and attributes in Maine GIS data include: FID (feature identifier), Shape (feature geometry), OBJECTID and SHAPE_lengt. In addition, most GIS formats will carry fields for PERIMETER, AREA and/or LENGTH according to feature geometry. These fields are typically available by default, with the units based on coordinate system or projection units of GIS data. Most GIS software packages also provide a means to calculate these values. It is important to test any columns containing PERIMETER, AREA or LENGTH values before using them for analysis purposes. These important values can be carried from format to format and become out-dated. Verify that the values are correct. Also, in your GIS software, please view the properties of data layers for the map units used to calculate these fields, and for the units set for display purposes.</eadetcit>
</overview>
</eainfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="QAR_FoodRegionsbyTown">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 12.9.6.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<resTitle Sync="FALSE">QAR_FoodRegionsbyTown</resTitle>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-72.396900</westBL>
<eastBL Sync="TRUE">-66.781750</eastBL>
<northBL Sync="TRUE">47.460074</northBL>
<southBL Sync="TRUE">42.884938</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>To designate and describe retail food inspector regions to other staff and to assist office staff with assignment of new applications and complaints.</idPurp>
<idCredit>Patrick Emery</idCredit>
<searchKeys>
<keyword>#QAR #retail #inspector</keyword>
</searchKeys>
</dataIdInfo>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<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="QAR_FoodRegionsbyTown">
<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">20230606</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEASABIAAD/4RrARXhpZgAATU0AKgAAAAgABwESAAMAAAABAAEAAAEaAAUA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</Data>
</Thumbnail>
</Binary>
</metadata>
