<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20191017</CreaDate>
        <CreaTime>15032000</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">MACHC Planned Surveys</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
                <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/10.4'&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-009&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>20200509</SyncDate>
        <SyncTime>10071500</SyncTime>
        <ModDate>20200509</ModDate>
        <ModTime>10071500</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">MACHC Planned Surveys</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs/>
        <searchKeys>
            <keyword>MACHC</keyword>
            <keyword>Seabed 2030</keyword>
            <keyword>Planned Surveys</keyword>
        </searchKeys>
        <idPurp>Known planned surveys of MACHC Member States.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <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">6.14(3.0.1)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="MACHC Planned Surveys">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="MACHC Planned Surveys">
                <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">TRUE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
    <eainfo>
        <detailed Name="MACHC Planned Surveys">
            <enttyp>
                <enttypl Sync="TRUE">MACHC Planned Surveys</enttypl>
                <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">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</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 Sync="TRUE">Country</attrlabl>
                <attalias Sync="TRUE">Country</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">40</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Institutio</attrlabl>
                <attalias Sync="TRUE">Institutio</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">80</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">SurveyPlat</attrlabl>
                <attalias Sync="TRUE">SurveyPlat</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">80</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">CruiseName</attrlabl>
                <attalias Sync="TRUE">CruiseName</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">80</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">ProjectNam</attrlabl>
                <attalias Sync="TRUE">ProjectNam</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">80</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Year</attrlabl>
                <attalias Sync="TRUE">Year</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">AreaSqKm</attrlabl>
                <attalias Sync="TRUE">AreaSqKm</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">Objective</attrlabl>
                <attalias Sync="TRUE">Objective</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">240</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">PointConta</attrlabl>
                <attalias Sync="TRUE">PointConta</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">120</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Scale</attrlabl>
                <attalias Sync="TRUE">Scale</attalias>
                <attrtype Sync="TRUE">Integer</attrtype>
                <attwidth Sync="TRUE">10</attwidth>
                <atprecis Sync="TRUE">10</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">POC</attrlabl>
                <attalias Sync="TRUE">POC</attalias>
                <attrtype Sync="TRUE">String</attrtype>
                <attwidth Sync="TRUE">120</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20200509</mdDateSt>
    <mdChar>
        <CharSetCd Sync="TRUE" value="004"/>
    </mdChar>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>