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                <resTitle>Lakes and Rivers</resTitle>
                <idAbs>This North American Environmental Atlas dataset displays the coastline, linear hydrographic features (major rivers, streams, and canals), and area hydrographic features (major lakes and reservoirs) of North America at a reference spatial scale of 1:1,000,000.

This current version of the North American Lakes and Rivers dataset supersedes the version published by the Commission for Environmental Cooperation in 2011.

This map offers a seamless integration of hydrographic features derived from cartographic products generated by Natural Resources Canada (NRCan), United States Geological Survey (USGS), Mexico’s National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía—Inegi) and National Water Commission (Comisión Nacional del Agua—Conagua).</idAbs>
            </locale>
            <locale country="MX" language="spa">
                <resTitle>Lagos y ríos</resTitle>
                <idAbs>Este mapa base del Atlas ambiental de América del Norte muestra la línea costera, características hidrográficas lineales (ríos principales, arroyos y canales) y características hidrográficas de área (grandes lagos y embalses) de América del Norte a una escala espacial de referencia de 1:1,000,000.

Esta versión actual del conjunto de datos de Lagos y Ríos de América del Norte reemplaza a la versión publicada por la Comisión para la Cooperación Ambiental en 2011.

Este mapa ofrece una consistente integración espacial de características hidrográficas derivadas de productos cartográficos generados por el ministerio de Recursos Naturales de Canadá (Natural Resources Canada, NRCan), el Servicio Geológico de los Estados Unidos (United States Geological Survey, USGS), el Instituto Nacional de Estadística y Geografía (Inegi) y la Comisión Nacional del Agua (Conagua).</idAbs>
            </locale>
            <locale country="CA" language="fre">
                <resTitle>Lacs et rivières</resTitle>
                <idAbs>Cette carte de l'Atlas environnemental de l'Amérique du Nord montre le littoral, les caractéristiques hydrographiques linéaires (principaux fleuves, ruisseaux et canaux) et les caractéristiques hydrographiques de surface (grands lacs et réservoirs) de l’Amérique du Nord à une échelle spatiale de référence de 1:1,000,000.

Cette version actuelle de la base de données des lacs et des rivières de l'Amérique du Nord remplace la version publiée par la Commission de coopération environnementale en 2011.

Cette carte offre une intégration harmonieuse des caractéristiques hydrographiques dérivées des produits cartographiques générés par Ressources naturelles Canada (RNCan), l’United States Geological Survey (USGS, Service géologique des États‑Unis), l’Instituto Nacional de Estadística y Geografía (Inegi, Institut national de statistiques et de géographie), et la Comisión Nacional del Agua (Conagua, Commission nationale de l'eau).</idAbs>
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        <SyncDate>20260401</SyncDate>
        <SyncTime>09435400</SyncTime>
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        <idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;A href="https://www.cec.org/north-american-environmental-atlas/" STYLE="text-decoration:underline;"&gt;&lt;SPAN STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;North American Environmental Atlas&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Environmental Atlas data sets is strictly to complete the context of the data.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;A href="https://www.cec.org/north-american-environmental-atlas/lakes-and-rivers-2023/" STYLE="text-decoration:underline;"&gt;&lt;SPAN STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;North American Environmental Atlas – Rivers&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt; dataset displays linear hydrographic features (major rivers, streams, and canals) of North America at a reference spatial scale of 1:1,000,000.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;This map offers a seamless integration of hydrographic features derived from cartographic products generated by Natural Resources Canada (NRCan), United States Geological Survey (USGS), National Institute of Statistics and Geography, (Instituto Nacional de Estadística y Geografía-Inegi), National Water Commission (Comisión Nacional del Agua-Conagua).&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;This current version of the North America Lakes and Rivers dataset supersedes the version published by the Commission for Environmental Cooperation in 2011.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;SPAN&gt; &lt;/SPAN&gt;&lt;A href="https://www.cec.org/north-american-environmental-atlas/lakes-and-rivers-2023/" STYLE="text-decoration:underline;"&gt;&lt;SPAN STYLE="font-weight:bold;text-decoration:underline;"&gt;&lt;SPAN&gt;Files Download&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/A&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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            <resTitle>North American Environmental Atlas - Hydrography (Rivers)</resTitle>
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                <rpIndName>Dominique Croteau</rpIndName>
                <rpOrgName>Commission for Environmental Cooperation</rpOrgName>
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                    <cntInstr>Contact Person: Rogelio Mondragón Bonilla</cntInstr>
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                    <cntInstr>Contact Person: Ira Graffman</cntInstr>
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                <rpOrgName>Environmental Systems Research Institute (ESRI)</rpOrgName>
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                        <city>Redlands</city>
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            <exDesc>This dataset includes major rivers across all North America.</exDesc>
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        <idPoC>
            <rpIndName>Dominique Croteau</rpIndName>
            <rpOrgName>Commission for Environmental Cooperation</rpOrgName>
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            <displayName>Dominique Croteau</displayName>
            <displayName>Dominique Croteau</displayName>
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        <keyword>North America</keyword><keyword>América del Norte</keyword><keyword>Amérique du Nord</keyword><keyword>Rivers</keyword><keyword>Lakes</keyword><keyword>Ríos</keyword><keyword>Lagos</keyword><keyword>Rivières</keyword><keyword>Lacs</keyword><keyword>Canada</keyword><keyword>Canadá</keyword><keyword>United States</keyword><keyword>Estados Unidos</keyword><keyword>États-Unis</keyword><keyword>Mexico</keyword><keyword>México</keyword><keyword>Mexique</keyword><keyword>CEC</keyword><keyword>CCA</keyword><keyword>CCE</keyword></searchKeys>
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            <keyword>North American Environmental Atlas &gt; Reference &gt; Streams</keyword>
            <keyword>North American Environmental Atlas &gt; Reference &gt; Rivers</keyword>
            <keyword>North American Environmental Atlas &gt; Reference &gt; Coastline</keyword>
            <keyword>North American Environmental Atlas &gt; Reference &gt; Shoreline</keyword>
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        <idPurp>This North American Environmental Atlas – Lakes and Rivers dataset displays the coastline, linear hydrographic features (major rivers, streams, and canals), and area hydrographic features (major lakes and reservoirs) of North America.</idPurp>
        <idCredit>Commission for Environmental Cooperation (CEC). 2023. “North American Environmental Atlas - Lakes and Rivers”. Natural Resources Canada (NRCan), Instituto Nacional de Estadística y Geografía (INEGI), Comisión Nacional del Agua (CONAGUA), U.S. Geological Survey (USGS). Ed. 3.0, Vector digital data [1:1,000,000].</idCredit>
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        <suppInfo>The Commission for Environmental Cooperation (CEC) is an international organization created by Canada, Mexico, and the United States of America under the North American Agreement on Environmental Cooperation (NAAEC), which came into force at the same time as the North American Free Trade Agreement (NAFTA). The CEC was established to address regional environmental concerns, help prevent potential trade and environmental conflicts, and to promote the effective enforcement of environmental law. As of 2020, the CEC operates in accordance with the Environmental Cooperation Agreement, which entered into force at the same time as the CUSMA/T-MEC/USMCA trade agreement.

This data set is available in several formats, including Shapefile, Map package, and a PDF Map, along with other files appropriate to particular format, such as .lyrx and .qlr files.</suppInfo>
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            <keyword>Mid-latitude</keyword>
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            <keyword>Northern Hemisphere</keyword>
            <keyword>North America</keyword>
            <keyword>Canada</keyword>
            <keyword>Mexico</keyword>
            <keyword>United States</keyword>
        </placeKeys>
        <tempKeys>
            <keyword>2023</keyword>
        </tempKeys>
        <tpCat>
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    </dataIdInfo>
    <mdLang>
        <languageCode value="eng"/>
        <countryCode value="US"/>
    </mdLang>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
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    <mdFileID>NAatlas_0.06_metadata_rivers</mdFileID>
    <mdChar>
        <CharSetCd value="004"/>
    </mdChar>
    <mdDateSt Sync="FALSE">20231019</mdDateSt>
    <mdContact>
        <rpIndName>Dominique Croteau</rpIndName>
        <rpOrgName>Commission for Environmental Cooperation</rpOrgName>
        <rpPosName>Project Lead, Geospatial and Environmental Information</rpPosName>
        <rpCntInfo>
            <cntAddress addressType="physical">
                <eMailAdd>info@cec.org</eMailAdd>
                <delPoint>1001 Robert-Bourassa Boulevard, Suite 1620</delPoint>
                <city>Montreal</city>
                <adminArea>Quebec</adminArea>
                <postCode>H3B 4L4</postCode>
                <country>CA</country>
            </cntAddress>
            <cntPhone>
                <voiceNum>+1 514 350 4300</voiceNum>
                <faxNum>+1 438 701 1434</faxNum>
            </cntPhone>
        </rpCntInfo>
        <displayName>Dominique Croteau</displayName>
        <displayName>Dominique Croteau</displayName>
        <displayName>Dominique Croteau</displayName>
        <role>
            <RoleCd value="007"/>
        </role>
    </mdContact>
    <mdContact>
        <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
        <rpCntInfo>
            <cntAddress addressType="physical">
                <eMailAdd>info@cec.org</eMailAdd>
                <delPoint>1001 Robert-Bourassa Boulevard, Suite 1620</delPoint>
                <city>Montreal</city>
                <adminArea>Quebec</adminArea>
                <postCode>H3B 4L4</postCode>
                <country>CA</country>
            </cntAddress>
            <cntPhone>
                <voiceNum>+1 514 350 4300</voiceNum>
                <faxNum>+1 438 701 1434</faxNum>
            </cntPhone>
        </rpCntInfo>
        <displayName>Commission for Environmental Cooperation (CEC)</displayName>
        <role>
            <RoleCd value="010"/>
        </role>
    </mdContact>
    <dqInfo>
        <dqScope>
            <scpLvl>
                <ScopeCd value="005"/>
            </scpLvl>
        </dqScope>
        <dataLineage>
            <statement>The North American Environmental Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Environmental Atlas data sets is strictly to complete the context of the data. The North American Environmental Atlas – Rivers dataset displays linear hydrographic features (major rivers, streams, and canals) of North America at a reference spatial scale of 1:1,000,000.

This map offers a seamless integration of hydrographic features derived from cartographic products generated by Natural Resources Canada (NRCan), United States Geological Survey (USGS), National Institute of Statistics and Geography, (Instituto Nacional de Estadística y Geografía-Inegi), National Water Commission (Comisión Nacional del Agua-Conagua). This current version of the North America Lakes and Rivers dataset supersedes the version published by the Commission for Environmental Cooperation in 2011.</statement>
            <dataSource type="">
                <srcDesc>Hydro Features is composed of the network of Canadian surface waters. Hydro Features entities are: Watercourse, Water Linear Flow, Hydro Obstacle (falls, rapids…), Waterbody (lake, watercourse…), Permanent Snow and Ice, Water Well, and Spring. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format and complies with international geomatics standards. CanVec is a multisource product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation(CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).</srcDesc>
                <srcScale>
                    <rfDenom>1000000</rfDenom>
                </srcScale>
                <srcCitatn>
                    <resTitle>Earth Surface Schematization Integrated Model, EXPL, 1M, Hydro Features</resTitle>
                    <date>
                        <pubDate>2018-02-05T00:00:00</pubDate>
                    </date>
                    <citOnlineRes>
                        <linkage>https://open.canada.ca/data/en/dataset/9d96e8c9-22fe-4ad2-b5e8-94a6991b744b</linkage>
                    </citOnlineRes>
                    <presForm>
                        <fgdcGeoform>vector digital data</fgdcGeoform>
                    </presForm>
                    <citId>
                        <identCode>1M Canada Hydro Features</identCode>
                    </citId>
                    <citRespParty>
                        <rpOrgName>Government of Canada; Natural Resources Canada; Canada Centre for Mapping and Earth Observation</rpOrgName>
                        <rpCntInfo>
                            <cntAddress addressType="physical">
                                <eMailAdd>geoginfo@RNCan.gc.ca</eMailAdd>
                                <delPoint>588 Booth Street</delPoint>
                                <city>Ottawa</city>
                                <adminArea>Ontario</adminArea>
                                <postCode>K1A 0G1</postCode>
                                <country>CA</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+1 819 564 5600</voiceNum>
                            </cntPhone>
                        </rpCntInfo>
                        <displayName>Earth Surface Schematization Integrated Model, EXPL, 1M, Hydro Features</displayName>
                        <displayName>Government of Canada; Natural Resources Canada; Canada Centre for Mapping and Earth Observation</displayName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                    </citRespParty>
                </srcCitatn>
            </dataSource>
            <dataSource type="">
                <srcDesc>This polygon shapefile represents the water features areas (for example, glaciers, lakes, reservoirs, and swamps) of the United States at 1:1,000,000 scale. This layer is part of the 2014 ESRI Data and Maps collection for ArcGIS 10.2. U.S. National Atlas Water Feature Polygons provides the water features areas for geographic display and analysis at regional and national levels.</srcDesc>
                <srcScale>
                    <rfDenom>1000000</rfDenom>
                </srcScale>
                <srcCitatn>
                    <resTitle>United States National Atlas Water Feature Areas</resTitle>
                    <date>
                        <pubDate>2014-07-01T00:00:00</pubDate>
                    </date>
                    <citRespParty>
                        <rpOrgName>Environmental Systems Research Institute (ESRI)</rpOrgName>
                        <rpCntInfo>
                            <cntAddress>
                                <eMailAdd>info@esri.com</eMailAdd>
                                <delPoint>380 New York Street</delPoint>
                                <city>Redlands</city>
                                <adminArea>California</adminArea>
                                <country>US</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+1 909 793 2853</voiceNum>
                                <faxNum>+1 909 793 5953</faxNum>
                            </cntPhone>
                        </rpCntInfo>
                        <displayName>United States National Atlas Water Feature Areas</displayName>
                        <displayName>Environmental Systems Research Institute (ESRI)</displayName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                    </citRespParty>
                    <citRespParty>
                        <rpOrgName>U.S. Geological Survey (USGS)</rpOrgName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                        <rpCntInfo>
                            <cntAddress addressType="physical">
                                <delPoint>47914 252nd Street</delPoint>
                                <city>Sioux Falls</city>
                                <adminArea>South Dakota</adminArea>
                                <postCode>57198-0001</postCode>
                                <country>US</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+1 605 594 6049</voiceNum>
                                <faxNum>+1 605 594 6529</faxNum>
                            </cntPhone>
                            <cntInstr>Contact Person: John Hutchinson</cntInstr>
                        </rpCntInfo>
                    </citRespParty>
                    <citRespParty>
                        <rpOrgName>University of Texas at Austin</rpOrgName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                        <rpCntInfo>
                            <cntAddress>
                                <city>Austin</city>
                                <adminArea>Texas</adminArea>
                                <country>US</country>
                            </cntAddress>
                        </rpCntInfo>
                    </citRespParty>
                    <citOnlineRes>
                        <linkage>https://geodata.lib.utexas.edu/catalog/stanford-jx041rw1382</linkage>
                    </citOnlineRes>
                    <presForm>
                        <fgdcGeoform>vector digital data</fgdcGeoform>
                    </presForm>
                    <citId>
                        <identCode>1M USA ESRI Hydro Features</identCode>
                    </citId>
                </srcCitatn>
            </dataSource>
            <dataSource type="">
                <srcDesc>The primary purpose of this dataset is to provide a common, conformant streams coverage for NWS products and processes, including IHABBS and usages as map backgrounds for river forecasts for a variety of National Weather Service applications. This shapefile is a subset of the rivers shapefile containing only major rivers.</srcDesc>
                <srcScale>
                    <rfDenom>500000</rfDenom>
                </srcScale>
                <srcCitatn>
                    <resTitle>Rivers and streams of the U.S.</resTitle>
                    <date>
                        <pubDate>2019-09-21T00:00:00</pubDate>
                    </date>
                    <citOnlineRes>
                        <linkage>https://www.nohrsc.noaa.gov/gisdatasets/</linkage>
                    </citOnlineRes>
                    <presForm>
                        <fgdcGeoform>vector digital data</fgdcGeoform>
                    </presForm>
                    <citId>
                        <identCode>500K USA NOAA Hydro Features</identCode>
                    </citId>
                    <citRespParty>
                        <rpOrgName>National Oceanic and Atmospheric Administration (NOAA)</rpOrgName>
                        <rpCntInfo>
                            <cntAddress>
                                <eMailAdd>ira.graffman@noaa.gov</eMailAdd>
                                <delPoint>1325 East West Highway</delPoint>
                                <city>Silver Spring</city>
                                <adminArea>Maryland</adminArea>
                                <postCode>20904</postCode>
                                <country>US</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+1 301 713 0763</voiceNum>
                            </cntPhone>
                            <cntInstr>Contact Person: Ira Graffman</cntInstr>
                        </rpCntInfo>
                        <displayName>Rivers and streams of the U.S.</displayName>
                        <displayName>National Oceanic and Atmospheric Administration (NOAA)</displayName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                    </citRespParty>
                </srcCitatn>
            </dataSource>
            <dataSource type="">
                <srcDesc>The digital hydrographic network of Mexico scale 1:250,000, Edition 1.0, is the result of connecting and logically interpreting, according to topography, the rivers, streams, canals, and aqueducts. The procedure involves generating, through automated and semi-automated means, the continuity in the course from the source of a watercourse to its mouth in the sea, an inland body of water, or its disappearance due to some process of subsurface infiltration.</srcDesc>
                <srcScale>
                    <rfDenom>250000</rfDenom>
                </srcScale>
                <srcCitatn>
                    <resTitle>Red Hidrográfica Digital de México</resTitle>
                    <date>
                        <pubDate>2006-12-01T00:00:00</pubDate>
                    </date>
                    <citOnlineRes>
                        <linkage>https://www.inegi.org.mx/app/biblioteca/ficha.html?upc=889463598428</linkage>
                    </citOnlineRes>
                    <presForm>
                        <fgdcGeoform>vector digital data</fgdcGeoform>
                    </presForm>
                    <citId>
                        <identCode>250K Mexico Hydro Features</identCode>
                    </citId>
                    <citRespParty>
                        <rpOrgName>Instituto Nacional de Estadística y Geografía (INEGI), Departamento de Hidrología</rpOrgName>
                        <rpCntInfo>
                            <cntAddress addressType="physical">
                                <eMailAdd>rogelio.mondragon@inegi.org.mx</eMailAdd>
                                <delPoint>Av. Héroe de Nacozari Sur 2301</delPoint>
                                <city>Aguascalientes</city>
                                <adminArea>Aguascalientes</adminArea>
                                <postCode>20270</postCode>
                                <country>MX</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+52 449 918 0739</voiceNum>
                            </cntPhone>
                            <cntInstr>Contact Person: Rogelio Mondragón Bonilla</cntInstr>
                        </rpCntInfo>
                        <displayName>Instituto Nacional de Estadística y Geografía</displayName>
                        <displayName>Instituto Nacional de Estadística y Geografía</displayName>
                        <displayName>Instituto Nacional de Estadística y Geografía (INEGI)</displayName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                    </citRespParty>
                </srcCitatn>
                <srcMedName>
                    <MedNameCd value="015"/>
                </srcMedName>
            </dataSource>
            <dataSource type="">
                <srcDesc>The new version of the North American Environmental Atlas - Political Boundaries data set shows political entities in North America as polygons representing jurisdictional areas, such as, international boundaries, provincial boundaries and state or territory boundaries.</srcDesc>
                <srcCitatn>
                    <resTitle>North American Environmental Atlas - Political Boundaries</resTitle>
                    <date>
                        <pubDate>2022-06-15T00:00:00</pubDate>
                    </date>
                    <citOnlineRes>
                        <linkage>https://www.cec.org/north-american-environmental-atlas/political-boundaries-2021/</linkage>
                    </citOnlineRes>
                    <presForm>
                        <fgdcGeoform>vector digital data</fgdcGeoform>
                    </presForm>
                    <citId>
                        <identCode>NA Political Boundaries</identCode>
                    </citId>
                    <citRespParty>
                        <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                        <rpCntInfo>
                            <cntAddress addressType="physical">
                                <eMailAdd>info@cec.org</eMailAdd>
                                <delPoint>1001 Robert-Bourassa Boulevard, Suite 1620</delPoint>
                                <city>Montreal</city>
                                <adminArea>Quebec</adminArea>
                                <postCode>H3B 4L4</postCode>
                                <country>CA</country>
                            </cntAddress>
                            <cntPhone>
                                <voiceNum>+1 514 350 4300</voiceNum>
                                <faxNum>+1 438 701 1434</faxNum>
                            </cntPhone>
                        </rpCntInfo>
                        <displayName>Commission for Environmental Cooperation (CEC)</displayName>
                        <role>
                            <RoleCd value="006"/>
                        </role>
                    </citRespParty>
                </srcCitatn>
                <srcMedName>
                    <MedNameCd value="015"/>
                </srcMedName>
            </dataSource>
            <prcStep>
                <stepDesc>For Mexico, using the raw input data taken from 250K Mexico Hydro Features, CEC conducted an initial subset to select all features where stream order and feature names were reported.
- All features reported as canals in the input data were removed.
- Features that jointly met the criteria of having an order equal to or smaller than 3, being classified as creeks, and having no reported names were eliminated.
- Manual editing was performed to delete remaining streams and creeks that were not connected to the main watercourses.
- A manual check was conducted on all remaining features to merge individual lines representing the same watercourse into a single new feature.
- Names of all features were checked, and names were assigned to unnamed features based on the previous CEC North American Rivers map and reference maps in ArcGIS Pro (Esri, CGIAR, USGS, CONANP, Esri, HERE, Garmin, Foursquare, FAO, METI/NASA, USGS, EPA).
- A final set of attributes was defined, including country, feature names in English, Spanish, and French, and the length in kilometers.
- Geometry calculations were performed to determine the length of the features in kilometers.</stepDesc>
                <stepDateTm>2023-10-10T00:00:00</stepDateTm>
                <stepProc>
                    <rpIndName>Ricardo Llamas</rpIndName>
                    <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                    <rpPosName>Geospatial consultant</rpPosName>
                    <rpCntInfo>
                        <cntAddress addressType="postal">
                            <eMailAdd>rllamas.geo.analyst@gmail.com</eMailAdd>
                            <city>Tlalnepantla</city>
                            <adminArea>State of Mexico</adminArea>
                            <postCode>54180</postCode>
                        </cntAddress>
                        <cntPhone>
                            <voiceNum tddtty="False"/>
                        </cntPhone>
                    </rpCntInfo>
                    <displayName>Ricardo Llamas</displayName>
                    <role>
                        <RoleCd value="009"/>
                    </role>
                </stepProc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>250K Mexico Hydro Features</resTitle>
                    </srcCitatn>
                </stepSrc>
            </prcStep>
            <prcStep>
                <stepDesc>For the Conterminous United States. The 1M USA ESRI Hydro Features, which comprises the complete set of rivers in the United States, served as the base input data. However, only the rivers represented in the subset defined by 500K USA NOAA Hydro Features for Major Rivers are selected.
- Using the 500K USA NOAA Hydro Features major rivers layer as a reference, a selection by location is performed with the 1M USA ESRI Hydro Features rivers layer.
- All lines in the 1M USA ESRI Hydro Features layer that intersect the lines in 500K USA NOAA Hydro Features Major Rivers map are selected and saved in a temporary file. This step results in 12,167 features being retained out of the original 112,968 features in the 1M USA ESRI Hydro Features rivers layer.
- Features classified as aqueducts and artificial paths that do not connect two segments of a real river are eliminated.
- Features with no reported names were omitted.
- Artificial paths that connect two segments of a real river with the same name are reclassified to river lines.
- Manual edits were performed to merge multi-segment features that are part of the same river and are spatially connected into single line features.
- Manual edits were performed to connect river lines that cross the United States and Mexico border.</stepDesc>
                <stepDateTm>2023-10-10T00:00:00</stepDateTm>
                <stepProc>
                    <rpIndName>Ricardo Llamas</rpIndName>
                    <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                    <rpPosName>Geospatial consultant</rpPosName>
                    <rpCntInfo>
                        <cntAddress addressType="physical">
                            <eMailAdd>rllamas.geo.analyst@gmail.com</eMailAdd>
                            <city>Tlalnepantla</city>
                            <adminArea>State of Mexico</adminArea>
                            <postCode>54180</postCode>
                        </cntAddress>
                        <cntPhone>
                            <voiceNum tddtty="False"/>
                        </cntPhone>
                    </rpCntInfo>
                    <displayName>Ricardo Llamas</displayName>
                    <role>
                        <RoleCd value="009"/>
                    </role>
                </stepProc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>1M USA ESRI Hydro Features</resTitle>
                    </srcCitatn>
                </stepSrc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>500K USA NOAA Hydro Features</resTitle>
                    </srcCitatn>
                </stepSrc>
            </prcStep>
            <prcStep>
                <stepDesc>For Alaska. The 500K USA NOAA Hydro Features rivers layer lacks data. Hence, the previous CEC North America rivers map is used as a reference to define the set of rivers to be preserved in the new version (2023), based on the utilization of the 1M USA ESRI Hydro Features rivers layer as input data.
- Using the ESRI national Atlas rivers layer, a first data subset is performed, selecting the rivers that intersect the Alaska boundary taken from the CEC North American Boundaries map. This step results in 26,223 features being retained out of the original 112,968 features in the 1M USA ESRI Hydro Features rivers layer.
- A second subset is conducted, selecting all line features that intersect with or are located within 1,000 meters of the line features represented in the previous CEC North American rivers map. This step results in 4,467 features being retained out of the initially preselected 26,223 features
- Features with no reported names were omitted.
- Manual editing was performed to remove the remaining line features that do not match any of the main Alaska rivers present in the previous CEC North American rivers map.
- Manual edits were performed to merge multi-segment features that belong to the same river and are spatially connected into single line features.</stepDesc>
                <stepDateTm>2023-10-10T00:00:00</stepDateTm>
                <stepProc>
                    <rpIndName>Ricardo Llamas</rpIndName>
                    <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                    <rpPosName>Geospatial consultant</rpPosName>
                    <rpCntInfo>
                        <cntAddress addressType="physical">
                            <eMailAdd>rllamas.geo.analyst@gmail.com</eMailAdd>
                            <city>Tlalnepantla</city>
                            <adminArea>State of Mexico</adminArea>
                            <postCode>54180</postCode>
                        </cntAddress>
                        <cntPhone>
                            <voiceNum tddtty="False"/>
                        </cntPhone>
                    </rpCntInfo>
                    <displayName>Ricardo Llamas</displayName>
                    <role>
                        <RoleCd value="009"/>
                    </role>
                </stepProc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>1M USA ESRI Hydro Features</resTitle>
                    </srcCitatn>
                </stepSrc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>NA Political Boundaries</resTitle>
                    </srcCitatn>
                </stepSrc>
            </prcStep>
            <prcStep>
                <stepDesc>For Canada, the water line flow layer was selected from the available map layers in the 1M Canada Hydro Features dataset. The water line flow layer includes lines that cross lakes and depicts lines for wide rivers, such as the St. Lawrence River between Canada and the United States. 
- All features with a valid river name, either in English or in French, were selected. This step results in 44,362 features being retained out of the original 362,562 features in the input dataset.
- A dissolve process was performed based on the English and French name attributes, while not allowing the generation of multipart features. This way, multi-segments of the same river that were spatially connected are merged into individual features, but rivers with the same name that are not connected remain as independent line features.
- Manual edits were performed to merge multi-segment features that belong to the same river and that might have been omitted in the dissolve process.
- Manual edits were conducted to extend the feature lines of medium and small rivers that were misconnected from main rivers in Canada.</stepDesc>
                <stepDateTm>2023-10-10T00:00:00</stepDateTm>
                <stepProc>
                    <rpIndName>Ricardo Llamas</rpIndName>
                    <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                    <rpPosName>Geospatial consultant</rpPosName>
                    <rpCntInfo>
                        <cntAddress addressType="physical">
                            <eMailAdd>rllamas.geo.analyst@gmail.com</eMailAdd>
                            <city>Tlalnepantla</city>
                            <adminArea>State of Mexico</adminArea>
                            <postCode>54180</postCode>
                        </cntAddress>
                        <cntPhone>
                            <voiceNum tddtty="False"/>
                        </cntPhone>
                    </rpCntInfo>
                    <displayName>Ricardo Llamas</displayName>
                    <role>
                        <RoleCd value="009"/>
                    </role>
                </stepProc>
                <stepSrc type="used">
                    <srcCitatn>
                        <resTitle>1M USA ESRI Hydro Features</resTitle>
                    </srcCitatn>
                </stepSrc>
            </prcStep>
            <prcStep>
                <stepDesc>For the North America map finalization.
- Rivers maps prepared for four independent sections (Alaska, Canada, Conterminous United States, and Mexico) were individually reprojected to the CEC Lambert Azimuthal Equal Area coordinate reference system.
- Attribute columns were standardized in each independent map, adding "Country," "NameEn," "NameFr," "NameEs," and "LengthKm."
- The four map sections were merged into a North American rivers map.
- A manual check was conducted to link rivers across the borders of Canada with the Conterminous United States and Alaska.
- Duplicated rivers that coincide with country borders and are present in more than one country are resolved. Boundary rivers along the Mexico-USA border are sourced from the Mexican dataset, and border rivers along the Canada-USA border are sourced from the Canadian dataset.
- Using the previous CEC North America rivers maps as a reference, a check-up is conducted to ensure that no important rivers previously represented are omitted in the latest version of the North American rivers dataset.
- Feature lines representing rivers omitted in the previous step are added to the North American rivers map using the national input datasets.
- Rivers added at this point are:
     o North Ladue River (Canada-Alaska); Arroyo El Carrizo (Mexico); Poplar River (USA-Canada); Daddys Creek (TN, USA); Frenchman Creek (USA-CAN); Hoh River (WA, USA); Middle Fork Holston River (TN, USA); North Fork Eel River (USA); Pawcatuck River (USA); Río San Juan (NL, MEX); San Pedro y San Pablo (TAB, MEX); San Pitch River (UT, USA); Shavers Fork (USA); West Branch Iowa River (USA)
- Names of the river features in the three languages (English, Spanish, and French) are reviewed and added if missing in any fields. If the feature has an official name only in English, the same name is included in the French name attribute column. For Spanish names, the words 'River,' 'Creek,' 'Stream,' and 'Brook' were translated to coincide with 'Río' and 'Arroyo' in each case. If the feature has an official name in two or three languages, the names are included in their respective attribute columns. For example: St. Lawrence River (NameEn), Fleuve St-Laurent (NameFr), and Río San Lorenzo (NameEs); Rio Grande (NameEn), Río Bravo (NameEs). If the official name is only available in French, the same value is used for the English attribute column, and the word 'Rivière' is translated to coincide with 'Río' for the Spanish version.
- The names of the longest and most significant rivers in North America, which have recognized names in all three languages, were manually edited:
     o Mississippi River  Río Misisipi  Fleuve Mississippi
     o Missouri River  Río Misuri   Rivière Missouri
     o Columbia River  Río Columbia  Fleuve Columbia
     o Rio Grande   Río Bravo   Rio Grande
     o Colorado River  Río Colorado  Fleuve Colorado
     o Red River   Río Rojo   Rivière Rouge
     o Red River of the North Río Rojo del Norte Rivière Rouge
     o Yukon River   Río Yukón   Fleuve Yukon
     o Arkansas River  Río Arkansas  Rivière Arkansas
     o Ohio River   Río Ohio   Rivière Ohio
     o St. Lawrence River  Río San Lorenzo  Fleuve Saint-Laurent
- An initial topology check-up was performed to ensure spatial consistency on the North American rivers map, fixing gaps (broken lines) and overlapping lines along country borders.
- In an additional topology check, duplicated polylines were identified and merged into single features.
- Additional topology rules were checked, including "Must Not Have Pseudo Nodes," which identified multi-segment features and integrated them into single features when they were spatially connected, and "Must Not Have Dangles," identifying and fixing undershoot and overshoot nodes.
- The final set of lines was exported to a new shapefile to generate new and continuous FID numbers.
- Length in kilometers was calculated for each feature using the "Calculate Geometry" tool in ArcGIS Pro 3.1.3.</stepDesc>
                <stepDateTm>2023-10-10T00:00:00</stepDateTm>
                <stepProc>
                    <rpIndName>Ricardo Llamas</rpIndName>
                    <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                    <rpPosName>Geospatial consultant</rpPosName>
                    <rpCntInfo>
                        <cntAddress addressType="physical">
                            <eMailAdd>rllamas.geo.analyst@gmail.com</eMailAdd>
                            <city>Tlalnepantla</city>
                            <adminArea>State of Mexico</adminArea>
                            <postCode>54180</postCode>
                        </cntAddress>
                        <cntPhone>
                            <voiceNum tddtty="False"/>
                        </cntPhone>
                    </rpCntInfo>
                    <displayName>Ricardo Llamas</displayName>
                    <role>
                        <RoleCd value="009"/>
                    </role>
                </stepProc>
            </prcStep>
        </dataLineage>
        <report type="DQCompOm">
            <measDesc>This data set includes water bodies for all North America. The data completeness reflects the content of the source data, the integration done by the cartographers, and the quality control of the content performed by the Commission for Environmental Cooperation.</measDesc>
            <measResult>
                <ConResult>
                    <conSpec>
                        <resTitle>North American Environmental Atlas - Hydrography (Rivers)</resTitle>
                    </conSpec>
                    <conPass>1</conPass>
                </ConResult>
            </measResult>
        </report>
        <report type="DQAbsExtPosAcc">
            <measDesc>Positional accuracy of the data is unknown. Positions are dependent on the accuracy of the source data and the result of the generalization and integration processes. The Commission for Environmental Cooperation assume no responsibility for the completeness, accuracy, or presentation of this data.</measDesc>
            <measResult>
                <ConResult>
                    <conSpec>
                        <resTitle>North American Environmental Atlas - Hydrography (Rivers)</resTitle>
                    </conSpec>
                    <conPass>1</conPass>
                </ConResult>
            </measResult>
        </report>
        <report type="DQTopConsis">
            <measDesc>Spatial datasets in vector format from each country were transformed into the CEC reference Lambert Azimuthal Equal Area projection. New attributes were created for each dataset to match some of the attributes from the previous CEC North American rivers version (2011). Additional attributes were also added.

A subset of rivers in each country was selected based on watercourses reporting a stream order higher than 2 (in the case of Mexico) and when feature names were reported.

Manual editing was conducted in each national dataset to ensure the continuous connection of line segments representing the same features. These manual edits mostly involved merging different segments into single polylines representing the same features. Manual connections were made for broken polylines.

After editing the national datasets to maintain consistency with names and the type of lines that would be included in the North American map, these national datasets were merged into a North American rivers map.

An initial topology check-up was performed to ensure spatial consistency on the North American rivers map, fixing gaps (broken lines) and overlapping lines along country borders.

In an additional topology check, duplicated polylines were identified and merged into single features. Additional topology rules were checked: "Must Not Have Pseudo Nodes," which identified multi-segment features and integrated them into single features when they were spatially connected; and "Must Not Have Dangles," identifying and fixing undershoot and overshoot nodes.

Finally, names of the river features were defined in three languages (English, Spanish, and French). For Canada, English and French names were retained as reported in the input data. For the rest of the line features in the North American map, the French names attribute was populated with the original names reported in English for the USA or in Spanish for Mexico.

Spanish names in Canada and the United States were generated based on the original names reported in English or French. The words "River" and "Rivière" in the feature names were replaced with the word "Río." The words "Creek," "Stream," and "Brook" in the feature names were replaced with the word "Arroyo." Spanish names in Mexico remained unmodified.</measDesc>
            <measResult>
                <ConResult>
                    <conSpec>
                        <resTitle>North American Environmental Atlas - Hydrography (Rivers)</resTitle>
                    </conSpec>
                    <conPass>1</conPass>
                </ConResult>
            </measResult>
        </report>
    </dqInfo>
    <distInfo>
        <distTranOps>
            <unitsODist>MB</unitsODist>
            <transSize>45</transSize>
        </distTranOps>
        <distFormat>
            <formatName>Shapefile</formatName>
            <formatSpec>Although these data have been processed successfully on computer systems at the Commission for Environmental Cooperation, no warranty expressed or implied is made regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. No responsibility is assumed by these agencies in the use of this data.</formatSpec>
            <formatVer>ESRI</formatVer>
        </distFormat>
        <distributor>
            <distorCont>
                <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
                <role>
                    <RoleCd value="005"/>
                </role>
                <rpCntInfo>
                    <cntAddress addressType="physical">
                        <eMailAdd>info@cec.org</eMailAdd>
                        <delPoint>1001 Robert-Bourassa Boulevard, Suite 1620</delPoint>
                        <city>Montreal</city>
                        <adminArea>Quebec</adminArea>
                        <postCode>H3B 4L4</postCode>
                        <country>CA</country>
                    </cntAddress>
                    <cntPhone>
                        <voiceNum>+1 514 350 4300</voiceNum>
                        <faxNum>+1 438 701 1434</faxNum>
                    </cntPhone>
                </rpCntInfo>
                <displayName>Commission for Environmental Cooperation (CEC)</displayName>
            </distorCont>
        </distributor>
    </distInfo>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode code="37008"/>
                <idCodeSpace>EPSG</idCodeSpace>
                <idVersion>WKID</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <mdMaint>
        <maintFreq>
            <MaintFreqCd value="009"/>
        </maintFreq>
        <maintCont>
            <rpOrgName>Commission for Environmental Cooperation (CEC)</rpOrgName>
            <rpCntInfo>
                <cntAddress addressType="physical">
                    <eMailAdd>info@cec.org</eMailAdd>
                    <delPoint>1001 Robert-Bourassa Boulevard, Suite 1620</delPoint>
                    <city>Montreal</city>
                    <adminArea>Quebec</adminArea>
                    <postCode>H3B 4L4</postCode>
                    <country>CA</country>
                </cntAddress>
                <cntPhone>
                    <voiceNum>+1 514 350 4300</voiceNum>
                    <faxNum>+1 438 701 1434</faxNum>
                </cntPhone>
            </rpCntInfo>
            <displayName>Commission for Environmental Cooperation (CEC)</displayName>
            <role>
                <RoleCd value="010"/>
            </role>
        </maintCont>
    </mdMaint>
    <eainfo>
        <detailed Name="Rivers2">
            <enttyp>
                <enttypl>Rivers</enttypl>
                <enttypd>A line representing a hydrographic feature.</enttypd>
                <enttypds>Commission for Environmental Cooperation</enttypds>
                <enttypt>Polyline</enttypt>
                <enttypc>5811</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID</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>Shape</attrlabl>
                <attrdef>The representation of the entity in the data.</attrdef>
                <attrdefs>ESRI GIS software</attrdefs>
                <attrtype>Geometry</attrtype>
                <attwidth>0</attwidth>
                <attalias Sync="TRUE">Shape</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdomv>
                    <udom Sync="TRUE">Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Country</attrlabl>
                <attrdef>The country in which the hydrographic features exist.</attrdef>
                <attrdefs>Commission for Environmental Cooperation</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>15</attwidth>
                <attrdomv>
                    <edom>
                        <edomv>CAN</edomv>
                        <edomvd>The feature is in Canada.</edomvd>
                        <edomvds>Commission for Environmental Cooperation</edomvds>
                    </edom>
                </attrdomv>
                <attrdomv>
                    <edom>
                        <edomv>MEX</edomv>
                        <edomvd>The feature is in Mexico.</edomvd>
                        <edomvds>Commission for Environmental Cooperation</edomvds>
                    </edom>
                </attrdomv>
                <attrdomv>
                    <edom>
                        <edomv>MEX-USA</edomv>
                        <edomvd>The feature coincides with a political boundary between Mexico and the United States of America.</edomvd>
                        <edomvds>Commission for Environmental Cooperation</edomvds>
                    </edom>
                </attrdomv>
                <attrdomv>
                    <edom>
                        <edomv>USA</edomv>
                        <edomvd>The feature is in the United States of America.</edomvd>
                        <edomvds>Commission for Environmental Cooperation</edomvds>
                    </edom>
                </attrdomv>
                <attrdomv>
                    <edom>
                        <edomv>USA-CAN</edomv>
                        <edomvd>The feature coincides with a political boundary between Canada and the United States of America.</edomvd>
                        <edomvds>Commission for Environmental Cooperation</edomvds>
                    </edom>
                </attrdomv>
                <attalias Sync="TRUE">Country</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl>NameEn</attrlabl>
                <attrdef>The official name of the hydrographic feature in English is used. If the feature has an official name only in English, the same name is included in the French name attribute column. For Spanish names, the words 'River,' 'Creek,' 'Stream,' and 'Brook' were translated to coincide with 'Río' and 'Arroyo' in each case. If the feature has an official name in two or three languages, the names are included in their respective attribute columns. For example: St. Lawrence River (NameEn), Fleuve St-Laurent (NameFr), and Río San Lorenzo (NameEs).</attrdef>
                <attrdefs>Commission for Environmental Cooperation</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>254</attwidth>
                <attrdomv>
                    <udom>Name of the feature in English</udom>
                </attrdomv>
                <attalias Sync="TRUE">NameEn</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl>NameFr</attrlabl>
                <attrdef>The official name of the hydrographic feature in French is used. If the feature has an official name only in French, the same name is included in all three name fields. If the feature has an official name in both English and French, the names are included in their respective attribute columns. For Spanish names, the word 'Rivière' was translated to coincide with 'Río.' If the feature has an official name in two or three languages, the names are included in their respective attribute columns. For example: St. Lawrence River (NameEn), Fleuve St-Laurent (NameFr), and Río San Lorenzo (NameEs).</attrdef>
                <attrdefs>Commission for Environmental Cooperation</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>254</attwidth>
                <attrdomv>
                    <udom>Name of the feature in French</udom>
                </attrdomv>
                <attalias Sync="TRUE">NameFr</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl>NameEs</attrlabl>
                <attrdef>The official name of the hydrographic feature in Spanish is used. If the feature has an official name only in Spanish, the same name is included in all three name fields. If the feature has an official name in both Spanish and English, the names are included in their respective attribute columns. For example: Rio Grande (NameEn), Río Bravo (NameEs).</attrdef>
                <attrdefs>Commission for Environmental Cooperation</attrdefs>
                <attrtype>String</attrtype>
                <attwidth>254</attwidth>
                <attrdomv>
                    <udom>Name of the feature in Spanish</udom>
                </attrdomv>
                <attalias Sync="TRUE">NameEs</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl>LengthKm</attrlabl>
                <attrdef>Length of the river feature in kilometers, calculated based on the dataset's coordinate reference system (Lambert Azimuthal Equal Area).</attrdef>
                <attrdefs>Commission for Environmental Cooperation</attrdefs>
                <attrtype>Float</attrtype>
                <attwidth>0</attwidth>
                <attrdomv>
                    <rdom>
                        <rdommin>2.2165</rdommin>
                        <rdommax>3497.49</rdommax>
                    </rdom>
                </attrdomv>
                <attalias Sync="TRUE">LengthKm</attalias>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Length</attrlabl>
                <attalias Sync="TRUE">Shape_Length</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
        </detailed>
    </eainfo>
    <mdConst>
        <Consts>
            <useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;No use constraints are applied to data for Canada, the United States of America and Mexico. Acknowledgment of Natural Resources Canada, Environmental Systems Research Institute, United States Geological Survey, National Oceanic and Atmospheric Administration, Instituto Nacional de Estadística y Geografía and (or) the Commission for Environmental Cooperation would be appreciated in products derived from this data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
        </Consts>
    </mdConst>
    <mdConst>
        <LegConsts>
            <useLimit>This material is licensed under CC BY 4.0, allowing non-exclusive rights to distribute, remix, adapt, and build upon the material in any medium or format, including for commercial purposes, so long as attribution is given to the creator.</useLimit>
        </LegConsts>
    </mdConst>
    <spatRepInfo>
        <VectSpatRep>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
            <geometObjs Name="Rivers2">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE"/>
            </geometObjs>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="Rivers2">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="3"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">0</efeacnt>
                <spindex Sync="TRUE">TRUE</spindex>
                <linrefer Sync="TRUE">FALSE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
</metadata>