Water Obstacles Point - 250k - Canvec CSW_BASE_CANVEC.WATER_OBSTACLE_PT_250K 2016-03-07T00:00:00 2017-03-09T00:00:00 1.0 <div style='text-align:Left;'><div><div><p><span>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 multi-source 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.).</span></p><p style='margin:0 0 11 0;'><span><span>Distributed from </span></span><a href='https://yukon.ca/geoyukon' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>GeoYukon</span></span></a><span><span> by the </span></span><a href='https://yukon.ca/maps' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Government of Yukon</span></span></a><span><span>. Discover more digital map data and interactive maps from Yukon’s digital map data collection.</span></span></p><p style='margin:0 0 11 0;'><span><span>For more information: </span></span><a href='mailto:geomatics.help@gov.yk.ca' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>geomatics.help@gov.yk.ca</span></span></a></p></div></div></div> The hydrographic features of the CanVec series include watercourses, water linear flow segments, hydrographic obstacles (falls, rapids, etc.), waterbodies (lakes, watercourses, etc.), permanent snow and ice features, water wells and springs. Government of Yukon on behalf of Natural Resources Canada Esri ArcGIS 10.5.1.7333 250000 Earth ScienceCanVecHydrographyGeoYukonYukon Earth Science CanVec Hydrography 1 -143.432735 -118.057162 58.610786 69.492295 1 -143.432735 -118.057162 58.610786 69.492295 Government of Canada; Natural Resources Canada; Earth Sciences Sector NRCan.geogratis-geogratis.RNCan@canada.ca <div style='text-align:Left;'><div><div><p><span>Open Government Licence - Canada (https://open.canada.ca/en/open-government-licence-canada)</span></p></div></div></div> 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 multi-source 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.). https://map-data.service.yukon.ca/GeoYukon/Base/Water_Obstacles_Point_250k_Canvec/ https://yukon.maps.arcgis.com/home/item.html?id=85c32a46759948bbbc42e4d4cb3b6d09 Feature Class 10.4.1 1940 CSW_BASE_CANVEC.WATER_OBSTACLE_PT_250K Feature Class 1940 OBJECTID OBJECTID Internal feature number. Esri OID 4 10 0 Sequential unique whole numbers that are automatically generated. FEATURE_ID FEATURE_ID String 64 0 0 MD_ID MD_ID String 64 0 0 MD_TEMPORAL_EXTENT_DATE_MIN MD_TEMPORAL_EXTENT_DATE_MIN String 20 0 0 MD_TEMPORAL_EXTENT_DATE_MAX MD_TEMPORAL_EXTENT_DATE_MAX String 20 0 0 MD_HORIZ_POSITION_ACCURACY_MIN MD_HORIZ_POSITION_ACCURACY_MIN Double 8 38 8 MD_HORIZ_POSITION_ACCURACY_MAX MD_HORIZ_POSITION_ACCURACY_MAX Double 8 38 8 OBSTACLE_DESCRIPTOR OBSTACLE_DESCRIPTOR SmallInteger 2 5 0 MD_TOPONYMIC_LINK_QUALITY MD_TOPONYMIC_LINK_QUALITY SmallInteger 2 5 0 NAME_DB NAME_DB String 100 0 0 NAME_1_ID NAME_1_ID String 64 0 0 NAME_1_EN NAME_1_EN String 100 0 0 NAME_1_FR NAME_1_FR String 100 0 0 NAME_2_ID NAME_2_ID String 64 0 0 NAME_2_EN NAME_2_EN String 100 0 0 NAME_2_FR NAME_2_FR String 100 0 0 SHAPE SHAPE Feature geometry. Esri Geometry 4 0 0 Coordinates defining the features. EPSG 6.13(9.3.0.0) ISO 19139 Metadata Implementation Specification 50000 500000 2017-06-20 13044200 2021-01-03 12:15:42.89 FALSE 2018-06-26 09003700 1.0 ISO19139 editor:esri.dijit.metadata.editor 002 WATER_OBSTACLE_PT_250K 67152.888400 1076140.214100 501940.586400 1669812.638700 1 Projected GCS_North_American_1983 NAD_1983_Yukon_Albers Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/10.5'><WKT>PROJCS[&quot;NAD_1983_Yukon_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,500000.0],PARAMETER[&quot;Central_Meridian&quot;,-132.5],PARAMETER[&quot;Standard_Parallel_1&quot;,61.66666666666666],PARAMETER[&quot;Standard_Parallel_2&quot;,68.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,59.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3578]]</WKT><XOrigin>-12920200</XOrigin><YOrigin>-9265100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3578</WKID><LatestWKID>3578</LatestWKID></ProjectedCoordinateSystem> dataset 2020-12-04 5B961511-A901-4A29-9303-CE07537B61E6 Government of Canada; Natural Resources Canada; Earth Sciences Sector NRCan.geogratis-geogratis.RNCan@canada.ca 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Ok/sg6vfve3WlLczahPqGo6che6t9qbPMjARyXWNFZQFbn+E5wfA5Phz+x3NI8knxa8YySOSzM1tKSSepJ/s/rUv7Nv7UHhn9m/4heMPBtxeSa58Mr3U5ZLHVLaN3MHO1ZCjAF1ZAgbAzlAV3Dr6Tq37P/7JfjjVD4is/iLZ6Dazt5zaXaa/bW0OdxZh5MyGVAc42qVAGAoFRrCcnK6T7Gt1UpxjHlbjo7mX+0d8fvg74o/ZZufAfhvxte+KNasEs1019SsrkXEpimjBZ5WgRCwi8zk4z7k8938cPFGo+F/+Cd/hWTTLl7Sa88P6LZSSxnDeU8EW9Qe25QVPsxr5U/a71H4Jy3Xh7TfhLa4n02Fra9vbRWW1nQcrlnG6WUHOZOhBxluNvuXx++JXhDWf2DvB3h/T/FWiX2vQabosc2l22owyXUbJDGJFaJWLAqQQQRxjmjkSULJ79Re0bdTmauo20PgStvwPp9rq3jTw/Y3xxZXWoW8M+f8Anm0ihv0JrEoVirAg4I5BFekzxVo7n6K/8FQde1TSfBfgbQbEvbaDfXNw92kPyozQrF5MZA4wN7sF6ZUH+Gvjf9mfxJq/hb49eBbrRZZY7qbVra0kSPP72GWRUkRgOoKsf0PavsPwH+0x8J/2m/hXZeCPjNNDpOt24jBvLuQwxTSoNq3Mc44icgncGwPmbqpIGh4H8L/sufsv6g3jC08dW/ijV7dGNoW1ODUp4mI2kRRWygBjnG5xxk8gZNedCXs4Om46ns1KarVVWjNW067D/wBsnS7KH9qr9njUI1QajcaxbQTsANxjjvrcx5PpmSTH41yn/BUjxNq8Nz4H0FJpYtDniuLuSJThJp1ZFG712K3H++a8V8R/tFP8bv2tvA3i/VGj0Tw9p2u6dHaRXUwVLS0jukdpJWJ2gnLMzdB0zhQa+zPjp8TP2e/jDNaeBvGPirS7mOWL7ZZa1p1/HJHay5ZSouIyyxPgAkSfKQR1IFTZ03C6vY05o141VGVrtf18z4T/AGLfEereHv2kvBg0qaRBfXX2K6iTO2WB1O8MO4AG72Kg9q+uP2k/ipov7Pv7YngvxjeWzXMF94fey1SK3AMqwmZwkyjPLAjoeoQjrT/Aen/sw/snyXPirTPGtv4n1oRutvMupQ6ldopADRxJbqqqWzjcwBwW+YLmvnXTfjl4B+NX7Tl74z+L0Mtt4R+ySWthp/kPPHGgBWJZfL+fgPJJlQTvIxgVb/ezc7O1vvMo/uKSpuS5m7+h7f8AED4c/s4ftReL5fFlp8UhoWv6p5Qmhmu47cSsoESjybhVYOdqjCnBAyAc5r56/aS/Y18Q/s/aHZ67FrUHinwtNKsX26CEwvDI4yC8e5gFbGAwY5wAcZGfern9mX9k7Xpv7Ss/ilFpNo5yLGPxNZoowTkbZ0aUdO56Yx61zH7Yn7SXgG++EOk/CX4cT/2tptoLaKW9Xe0MEECjy40duZGJC5bkAKRkk8KnKSkowba80OtCDhKVRJPpZ7v0PT/FH/KMiH/sB2f/AKVR18DfB/4aaz8XviNo3hXQXWDUL2UkXLkhLdEBd5WI5AUKT7nA6mvtf9mv45fDH4mfs3L8JfiJrtv4engt3sXe9uFtY5oQ5kikjmb5Ay4UYbuo4IOK4q6vvg9+yL8ZPAfiLwD4t/4TKz/0q016GO8jvZlhkVQkqSRIsWVJPy5BO0DuSHTlKnzQtrqKrGNX2dRtcqSTLnjj9l/9nX4R6jHpXxI+LHiH/hKJU8+4+xxhixYAl2jS3nZNxORvfJB74zXvmhaf4GtP2IfHFj4A17UPE/hS30LWBbXmqqwlDiGV2XDRR4Cucj5fxrjPin4G/Zh/aE13/hPdT+JVrpV7cQIblbTWbe1kuAiAKZIJ0MgcIqrhQp4AxmtmT4vfBez/AGW/H/hXwR4h0fS9PtdG1TTrCxu7+OK6vpDbN+8WORhI5eRyASMsRxxgVjJuSjvf8DpjGNOUrcqVnaz1Mf8AY2kfwf8AsR+KvEHh+JX18R6rfAquWNxFCREPfARMD396/Nq7u59Quprq6mkubmZ2klmmYs8jk5LMTySSSSTX09+xX+1lZ/Ae61Dw34pjmm8H6pL55mhTzGs59oUvs/iRlChgOflBAPIPteo/AH9knxVq7eJYPiFY6VZSMZ30e38QW9vAeSWAikXzkB/uqR2CgV0KXsZycluccorE0oKEkraNM+EfFnxB8S+Ol09PEOuX2sJp8C21ol5OzrDGoACqDwOAMnqcc5r9Gv8Agofp9pq1h8KrG/8A+PG58SpDcc4/dsAG/Qmvl39s34kfCPxbfaLo/wAMvD1lG+lIIbjXrOFrdZo0XYkCrx5gGB+8YE/KApwTn2T/AIKPfEzwj428C+EIfDXivRdfubfU5JJI9K1GG5eNfKIDMI2JAz3NErylTaVtwhanCqnLm2PbP2ydK+FmqeHvDWmfFDxhr3hHRTNK9pb6LAzQ3Miqg/ebbaUAoD8oO37zdcceBfCmb9lT4N+OtO8V+H/i34rGo2ZYCK4tJzDMjKQySKtipZTnpkcgHtXS+Av2nvhN+0p8LbLwV8Z2h03WbcRhru8ZooppUG1biOdf9U5BO4MQOWHKkiotH+Df7JXwduG8Q6h46s/GSwjMdjeatb6ku7B/5YWyAvnP8YK9OlYRXJFwlf5HVOXtJqrT5bd3uvxJbj9tL4ZeF/2orrxHpl7LqvhTXvD9tZajqdvZzI9veRTTFWMciKzL5bIDtB6jGcEVm+Jf2c/2evj54o1DW/Cnxaj0rW9bmkuzZS3cThp5QZMrBKEl+8WZl3ZGSPlxXjHwJuf2erv4peNh4zivLPwpqDfZ9At9SSRlgjeTJZ5YTujcYUKegVm3MeTXtf8AwzH+yelwurn4pxtZDE503/hJrPaUxnYVCed+G7d+NXJRpv3bpmUZSrR97lav3tY+aP2lv2XPEn7OOpaeuo30Ot6Hfb0stTt0ZBleTG8ZJ8tud2ASDk4JwceKV9d/t4ftO+GvjI2h+FfB7m/0fSJnuJ9SZGRZptpRVjDYJUDdliOSRjgZPyJXbRcpQTnuebiI041Gqex+mvwX8Q6p4T/4Ju/2vosjw6paaVqskE0f3oj9suAZB7qCW/CvzNeaSSZpWdmlZtxkYksWznOfWv1S/ZW8WaV4H/YV0HXddga50azt9Qe8hWMSFoTf3CuNp4bgnjv0rzK1+Af7I2raoPFMXxBtYtMZjc/2FLr8MEO3GdnlOouQP9ndu7e1cdOoqcp3XU9GtRdaFO0lstzrfiBez+Pv+CcKap4omaXUf7HtbgXU/wB95Y50WJyT1ZwFBPfefWof2yb668B/sXeF9K8MM1tpV1/Z+m3D2+V/0Q27vgkdnZEB9dxBzmvG/wBtL9rbw74+8LWnw2+Hg3eGbV4/td7HF5UMqxY8qGFSAfLUgHOBnauOOT0f7O/7Vnw/8bfB+P4TfGMLDZw2wsoL+5DNBcQJzErMvzRSR4UK3A+RTkHrCpyjFTt1vY1lWpylKkpa8tr+Z8S+F/EGp+E/Eem6xotxLaarZTpPbTQk7lkB4xjrnpjuDiv0J/4KdafbXXwn8EarcxJHq8eqeSg2/MsckDNIo743Rx/pUXhn4Q/so/B3Xo/GDfEKy157KT7RbWVxrdvfpC65ZSsNunmORjgNu5A6nFfNH7YX7TzftE+MLSPS4ZrPwpo4dLGKbiSd2xvmdQcAnaAo7AerEVvf21SMorRHLyrD0JxnJNy6I+nv+CpH/JO/BX/YVl/9EmtL46eIr/w7/wAE7PCzafcPayXugaJZSyRsVbynhh3qCOzAbT6hiO9cT/wUf+JXhDxz4D8I2/hvxVoniCeDUpJJYtL1GG5aNTEQGYIxIGe5o+P3xK8Iaz+wd4O8P6f4q0S+16DTdFjm0u21GGS6jZIYxIrRKxYFSCCCOMc1zwi+SCa6nVUkvaVWn9k+Ovghq13ofxk8D31jO1vcxa1abXQ44MyqwPqCCQR3BIr68/4KpQRrqnw3mCgSvDqCM3cgNbkD/wAeP518ZfDG7g0/4k+E7q6mjtraHVrSSWaZgqRoJkJZieAAASSa+sv+ClXxA8L+O7v4enw14k0jxCLVL8TnSr6K68rcbfbv8tjtztbGeuD6V1zX76D9TgpyX1Wor9j1TxR/yjIh/wCwHZ/+lUdfmpX6E/s1/HL4Y/Ez9m5fhL8RNdt/D08Fu9i73twtrHNCHMkUkczfIGXCjDd1HBBxXzr+1R8L/hN8NV8PQ/DPxonimeTzhqKm9jvGH3TG4khQRgcspHXgdecRRfJJwa1bNMVH2kI1ItWSR4BRRRXaeWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFdJqXw18X6N4dg8Qah4V1ux0GdI5IdUudOmjtZFcAxssrKFIYEEEHnPFc3RdPYbTW4UUUUCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA+1/CP7RXw90v9g+f4d3XiDyvGLaffQDTfsVwfnku5ZEHmCPy+UZT97jPPNfFFFFZwpqF2uptUqyqKKfRWCiiitDEKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKms/s5vIBdmRbXzF84wgFwmfm2gkAnGcZqGigD9A7H9qf4C/s4+DdET4Y+Ez4j1e7gE8kkgWC6j5KkXVyyMwk5kwiAqATjarLn0X4N/tBeAf23G1jwj4o8Bw2uoW9o1ytvdyrdq0O5UZ4ptiPG6l16AHnIPWvy5jjeaRI40aSRyFVVGSSegA9a/SL9kn4K2n7Kfw91z4p/Ei5XRtQurIJ9mk+/Z2xZWEZHUzSOE+QcjCjqSB51alCnG/wBo9nD16tWdrJQW+mh4V8IfhHH8Nv8AgoFpngyCVrq10rUppoJJPveSLR5493+0FKgnuRX05+0Z+3anwB+JU3hFfBf/AAkDQ2sNw13/AGt9mwXBO3Z5D9BjnPfpXy18Ef2iPDc37YGsfFHxteDQ9Mu1ungdoJZzFuQRQx4iViSI+CcY4PTpXvvjjx1+x18YfGEut+JNTTUNdvhHC93Kur2y/KoRM4CxqAAOSAO5pVI3mnUi3p+JdGSVOSpTUW5dex4X+0V+3d/wvz4Z3PhH/hB/7C864huPtn9rfaMbGzjZ5CdfXNel/sifs/8Agz4d/CGf40/Eu0huwIWvbKC8iEsdrbqcJKIzw0rtjbnplMYJrmP2nv2IfD3hP4dN8Rfhjq0mo6DDClzc2c1wtwjW7AAT28oHzLyGKnOQSQ3AWvYf2wEGj/sM6BZaeu2y8nSLfCNwIljUr9RlUococsYUtE2EYVFOVSvq4rTsYXh3/got4D8eeIovCvijwEum+D7xvsovL6eK6iRThV863MYVUwTnDNtHYivFf27v2YdN+C2vaf4n8LQm28L63K0TWQOUsrkDdtQk52Ou5gOxVh0wB8pV+mn7XROq/sJ6BeXwzefZtHuPm4PmsiBuD3wzVpKKozjybMxjUeKpT9pvHVMyv2kP+Udfgf8A7BWg/wDoiOvgT4ffDnxJ8VPE0Ph/wppM2satKjSCCIqoVFHLM7EKijgZYgZIHUgV+kvxA+GeufF79iP4a+FvD1us+pXumaFhpG2xxIIIy8jnsqjJPfsASQKi1638Lf8ABPP4ENcaLpj634p1R1tm1GWFsXV1tJDSuP8AVxINxWMHJ5xklnrOnV5IuMdW2bVsP7SSnJ2ikrs/O/4ofBvxb8GdStdO8YadDpN/cx+dHarf29xJszgMyxSMVBIOC2M4OM4NcXWt4t8Wav468Sahr+u30upavfyma4uZj8zt0HsAAAABwAABwKg8PaDf+Ktf0zRdLg+1anqVzFZ2sG9U8yaRwiLuYhRlmAySAM8mvRV7e8eNKzl7mxQor37/AIYN+On/AEI3/lXsP/j9eH69ol74Z1zUdH1KH7NqOn3Mlpcw71fy5Y2Kuu5SQcMCMgkelKM4y+F3HKnOHxRaJPDPhzUfGHiHTdD0m2a71PULhLa3hXq8jkAD2GT17Dmv0cs/hj8Gf2GPANhrfjOzg8T+MLtdiSSW63E08wXLLbRv8sSLnBkODggE5YLXzB/wT60201D9pzQXugGe1tbue3DHH7wQsvTvhWY/hntW1/wUi1a+vf2iBZ3EshtLLSrdbWMk7VDbmYgepYnJ/wBkegrlqXqVFTvZHfRtRouva7vZHrtv/wAFPvDur6gNP1v4aTDw+0m15F1CO5k2BvlbyGiVSeAcb+D3714h+2O3wO1CbQdW+FciRarqMf2i9s9Mi8uxijI+Xchx5M2ePLUYwMkLkFvmirGm6jc6PqNrf2UzW95ayrPDMn3kdSGVh7ggGtI0IwfNDQwnip1IuNTX5bHq/hD9kX4weOdPS+0nwLqBtZF3pJfPFZb17FRO6Ej6fWuf+JXwC+IPwfRJfF3ha90i2dti3XyTW5YgEL5sbMmcHpnPB9DX2E3xQ/bC+K1jaav4U8LJ4Z0to1KL5FnC84IHzkXrbiCQSCqgYYdRg19BfCrQfiJ8UPgzr/hX446Ba2uoXSvZCaOSB/tcLIMSssLsqSK+TldvIUgDGawlXnDWVv1OuOEp1NI81+7Wh+Vfww+Eviz4za/caL4O0r+2NTgtmvJIPtMUG2FXRC26V1U/NIgwDnnp1rrfD/7Jfxc8Uatqmm6b4KvJ7jTZ3tbmRpoY4FlU4ZFmdxG5B67GNew/8Ew/+S+a/wD9izcf+lVpXZftdftteOvBPxY1Twd4FvLfQLHRnSOe8FpFPLczMgd+JVZVUF8cDJKk5wcVrKpU9pyQSMIUaPsVVqN79D5P+JnwD+IHwdWKTxf4XvNIt5W2JdZSaAtjO3zY2ZM47ZzwfQ1d1n9m34jaD8N4/Ht54dx4SkhiuF1KG+tpl8uQgIxRJC4BLAHK8Z5xX6Dfs8fEa4/a/wD2bfFGm+NrW2nv0abS7maKMIk37pXinCjhXBbPHAKAgDOB5/8AsEeKrH4wfAjxd8JNfcSrZxyxxKfvfY7gNnb7pKWOe29PSs/bzSd1s9Tb6rTlJKLdpLT18z87a9H179nf4heGPhva+PdV8P8A2HwpdRwyw30t5b7nWUjyyIvM8znIONvTnpzWh8N/gPqvir9oey+Gl9A8c8GqPa6kwUjZBCxMzg9gUU7T3LLzyK+6/jVBpfxo/aa+HvwcKRv4X8NwNrur2SH5HZY8QQFfQKVyP7s5rWpW5ZJL1foc9HD+0i3LvZep8HfD39l/4pfFTS11Pw14Ovb3TnBMd3PJFaxSgY5RpnQOOf4c9D6Gsr4lfAnx98ITGfF3he90eGRtiXLbZYGbGdoljLJn2zmv0e/aJ1X9o3/hIotH+D3hi303w3ZRRgaqJtPL3LbRlUjnkwka5C42A5U84xWz8E9P+KvxE8F+IfCPx88I2bWc8Ajiv1mtW+1q2QyvHA7BXU7WV1Cj6EAnD6xK3M7W7X1Ov6nBvkXNfvbQ/JTTtNu9YvoLKwtZr28nYJFb28ZkkkY9AqgZJ9hXtVn+xF8br7Thex+A7lYSpbbNe2sUuB/0zaUPn2xk19b/ALHvwd0P4EeFviX4+1qNby90TUNTsI7plDPFaWRdZCh7M7I+cdlUdzXznrn/AAUT+L+oeKn1Kw1Gw0rSxJuj0VbCKWHZk4V5GXzCcYyQy5xwB0rX2s5yaprbuc/sKVKClXbu+x88eKfCWteCNan0jX9Lu9H1OA4ktbyJo3HoQD1BxwRwe1ZNfQv7U37Vlv8AtIWHhyEeEbXR7zTYw02pNIZJ3dl+eJDxiHdyA2TkA/LyD89V0QcnG8lZnHUjGMmoO6CiiirMgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD9Kf2M/2M4vh3p1t4/8AGunrf+KXi+0abpJ2sLEEZVjuIUznjGThM9d3K+fftOfCn9pH9orxV5kvgeTTfC1k5/s3SP7ZsML1Hmy4nw0pHfooOB3J8Rg/bs+ONvDHFH432xxqFVf7JsTgAYH/ACwqT/hvL46f9Dz/AOUiw/8AjFcKp1ufndm/mes6+GdNUlzJeVtfU6P4Zf8ABP8A8e+L9c8RaP4kMPg7UNP0+K7thPLFdLO8sjKisYXbC4ilyRkg7eDmsu+/4J9/Gy11f7HF4cs7233qv9oQapbCDBxlsO6yYHf5M8cA15r4m/aE+Ivi7xtbeL9Q8V3qeJba2Wzi1GwCWciwh2cJ+5VARuYk5HOea7Sz/bm+ONjapbx+O5WjUEBptOs5X5OeXaEsfxNa2r7po51LC2s0/wAD7K8eWMH7L/7Cd14P8Sarb3utXGmXOmQpG+RLPcu5KRBsFljEpOcDhM4GQKzfglqej/tffsgzfDq61CO08S6TZxWD7zueJoSDa3GOpQhFVj6hx6V+eXjf4ieJviTqo1LxRrt9rt4q7UkvJi/lr6IOijjoAPWqnhXxdrfgbXLfWPD+q3ejanAcx3VnKY3A7gkdVPdTwRwQaz+rvl3969zb64uf4fdta3kfSPgv/gnV8UtV8cW+neIrG20Tw6sv+k6xHfQzBowRnykVi5YjO3eqj1x0r07/AIKPfF7SLXQ9B+FGg3EckllJHdajHE24WypHtghY/wB4hixGcgBP71fO+p/tr/GzVtJfTp/Ht5Hbunll7W1t7ebGMcTRxrID7hs9814rc3M15cS3FxK888rmSSWRizOxOSxJ5JJ71apzlJSqPbsZSrUoU3Cinrvc/WDWPjHdfAr9iXwV4qsbCPUL+Pw5pFtbRTMVjWSS2iUO2OSF64GM4xkZyOO/Zv8Ajfo37Ynwu1n4b/EXybjxKIGEpCLGbuHPyXEQAwssbbc4HUK3QkD4T8SftFfELxd8OrHwJq3iD7X4VsYreC30/wCxW6bEhULEPMWMOdoA6sc45zXG+FfFWreB/EWn69oV9Jpur2EomtrqLG5GHsQQQRkEEEEEggg1msN7rvvfc3eO9+NvhtZo6n43/BvW/gX8QL7wxrSb/LPmWl4qkR3cBJ2Sr9cYI7EEdq5Dw9r1/wCFdf0zWtLn+y6nptzFeWs+xX8uaNw6NtYFThlBwQQcciu0+KX7QPjz41W1hB4z1mLWlsXZ7Zzp1rBJEWGGAeKJW2nAyucEgHGQK88rsjzctp7nmzcedunse/f8N5fHT/oef/KRYf8AxivD9e1y98Ta5qOsalN9p1HULmS7uZtip5ksjFnbaoAGWJOAAPSqNFEYRj8KsEqk5/FJs7D4QfEa7+EfxM8PeLrOPzpdLuhK0PTzYyCkiZ7bkZ1z2zX6G/H74G+Hf23PBGieOvh9rlmuuW8Bijln4SePlvs8+AWjkRiSMg43MMEMGH5hV0ngX4k+KfhnqT6h4V1+/wBBupF2SNZTFBKvOA69HAySAwODz1rKpTcmpxdmjoo11CLp1FeLPa9O/wCCfPxrvtYFlN4estPtt5T+0bjVLcwAA43YR2kwev3M+1dv4o/ZX8Nfs2fGT4ST674tsdY02+1G2GoWV2BFKsgf/WhOR9m3bQSx4wQc5OPL7z9uT44X1m1tJ47mWNsAtDp9pE/BB4dYQw6djzXi+ua/qfibUptR1jUbvVtQmOZLu+naaV/952JJ/E1KjVl8bSXkU6mHgv3cW35/8A/UH9svwH8d/F+raFJ8KtVvYdFjgK3VnpWqLp1wLjc37x5GkTehUqAobgqSR0I7j9k34e/ED4e+B76H4k+J7vX/ABDe3AuBb3eoyXrWUO3aqb3Y8khidvy8dTzX5t+Ef2wvjF4G0WDSdJ8cXi2EChIo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Simple FALSE 1940 TRUE FALSE