20240220 12511200 1.0 TRUE Map2 <div>This dataset shows the location and extent of the 23 Parks Canada National Priority Areas for Ecological Corridors. It is meant to be viewed at a regional scale. The polygon boundaries are for web display only and are not to be used for other purposes. Buffers should be set to a faded transparency to illustrate that the National Priority Areas for Ecological Corridors do not have a hard edge. Please refer to the National Program for Ecological Corridors webpage for up-to-date information on data available for download and on the program more generally.</div><div><br /></div><div>Ce jeu de données montre la localisation et l’étendue des 23 Zones Prioritaires Nationales pour les Corridors Écologiques identifiées par Parcs Canada. Ce jeu de données devrait être consulté à l’échelle régionale. Les limites absolues des polygones n’existent ici qu’à des fins de représentation visuelle de la couche et ne devraient pas être utilisées à d’autres fins. Une zone tampon floutée devrait être utilisée pour illustrer les Zones Prioritaires Nationales pour les Corridors Écologiques et éviter de représenter une limite absolue. Veuillez consulter le site web du Programme National pour les Corridors Écologiques pour de l’information à jour sur les données disponibles au téléchargement et sur le Programme en général.</div> This dataset shows the location and extent of the 23 Parks Canada National Priority Areas for Ecological Corridors. Ce jeu de données montre la localisation et l’étendue des 23 Zones Prioritaires Nationales pour les Corridors Écologiques identifiées par Parcs Canada. <p><span>The polygon boundaries are for web map display only and are not to be used for other purposes. </span></p><p><span>Les limites des polygones de cette couche sont utilisées exclusivement pour leur représentation visuelle sur internet et ne doivent pas être utilisées à d’autres fins.</span></p> iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAHW5JREFUeJzt3flz1EeaJvCn7kMllap0C923hA4OgzhNE3Z7diPcET3RvdO7 v2zs/G0TEzvTOzN7xMZ290y3bZobbAGSAN33WbdU973xpqZojIWRAAMpnk9EhUGWSoVU9VTmm2/m 11wsFosgItKA+X0/ACKig2JgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhYRKQNBhYRaYOBRUTaYGAR kTYYWESkDQYWEWmDgUVE2mBgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhYRKQNBhYRaYOBRUTaYGAR kTYYWESkDQYWEWmDgUVE2mBgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhYRKQNBhYRaYOBRUTaYGAR kTYYWESkDQYWEWmDgUVE2mBgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhYRKQNBhYRaYOBRUTaYGAR kTYYWESkDQYWEWmDgUVE2mBgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhYRKQNBhYRaYOBRUTaYGAR kTYYWESkDQYWEWmDgUVE2mBgEZE2GFhEpA0GFhFpg4FFRNpgYBGRNhhY+ygUCgiFQtjZ2UE+n4fF YoHT6YTL5YLdbofJZHr3vykiYmC9KJfLYWlpCY+fTiMSy6BQMMBiMcJpM8Nd7oTXW4ma6mp4vV4V YkT07nCE9ZxisYh4PI6vvvoaq4E0HN5mmEwW5DIp5NIRIJ9GmcOCxtpKdLU3oauzAx6PBwaD4R3+ yog+XgysFwIrlUrDHwjCXdUHk9UKIwoomqyA6xiKJruaIi76fNjYfoRwOILz586ioqLi/f0GiT4i DKznyEipvNyFC+dHsb6+DpstC7fbrWpaweAWfIEQcoYKOKu6kc9WY3J6Dq4yBy5cuMBRFtE7wMB6 IbCkLnX16tV9R1/BYBD37t3D5Mw48tYaGM0ezMzM4OzZs6owT0Q/LQbWIcKsuroan332GerrH+P6 9RsIhkKw9/XCaDT+tL8lIlIYWIdks9kwMjKC7u5uVe9yONjmQPSuMLBeg/RhSU9WWVkZa1dE7xAD 6w2miGxnIHq3GFj7FNez2Syi0SgqKyt/tKtdPjeTyWB3dxeRSETd5M/l5eXo6elR7Q6sbxG9PQys F0hY3b17F1NTUzh37pwKHqlblQJKtutsbGxge3sbkcgOYvE4kuksckUTCgY7CgYL8okF5PIFDA8N qqkjEb0dDKwXSGPo2to65hZXYTSZUF9fr1YHZfoXCATwaHwS8yvbSBftyBtsKBrdMDicMFrsMBiM SIRWEA0E1MiLiN4uBtYLZArnrfLCaLZhdX0LPr9fNY9Kn5U0k86t+BEtVsNV0wWHvRxmmxMGoxmZ eAiRtUewF3bQMzKAzo72ZyMzIno7GFgv/kDMZnS0t+PW3TFk8gYsLa3gWGOjqkclk0nkYYbT24Ky 6jb1+cViQYVVeOkOKhDE0GAP+vr61B5DnupA9HYxsPYZYTU0NKDaUwHfThbzC4sYPN6vAktCyG7e wG48hGIhD4PRhEI2jWRwEebEMj794jP09vaq0COit4+vrBdIrcrhcKCzow2hiQUEQhEEQ2FVy5Jb lXseoS0fsqkorM5K5DJxpCPL6Otqx8DAAFsdiH5CDKyXjLIaGxthHJ9B1uiAPxBCIpFQo6ymxjqs BxeRCK/C4qhAIZdCMRtDc3PXvmElK4vpdFqtPsr9Si1MRmBsdyA6vI82sOQEBrlJyOxXa5JAMZgs sNjcCIZ3Vf1KpoTHjh1DzfI6FvwLcFV3oCj3geJLNz/HYjEsLi7BHwzBZrWisrJC9WmVOZ2wWq3q 6+Qmj+Gwjajy+OXAQXmsr/P1RLr5KANLRj3hcFjdpE+qrq7u2Yu9FGTSBGqyOACzTYWVjJCEtDi0 NjVg3T+nWhhMtjIUi3snle73fZ4+fYqb9x4iFJNgA7LJHViMBbgrXKivr0VrSzOOHWtEldertvoc tFBfeozSgiFfV1NTrU6aYHDRUfZRBpb0SMkxMbdu3UJ/fz++/PJLNd2TUPL7/Wr6J/Uqc/YekqFl NHScU6MiIaOhpqZjaFjZwNz6BNz1PTAUZBO0Y99QkUZTS3kzmjpPwFFZj0Iui0xyB6mdDayEVvD0 mzFkor9Dfa0Xf/3Xv0Rzc/Mri/alBtZ/+Id/xOpWSE1LO9pa8OnlS2hvb1fnzhMdRR9lYEmQJFNp pLJFJDMFtZ1GXuSzs7P47f/4ZxSKBly5fB5/+7f/TQWUhNHzU77a2lr097RjdflP8E9OY3ioHy0t LT/4PjJqU7WqYgHFYl4+AqPZCrurGjZXFdwNx1HIZxELLGD94f/E2vq6Gu29KrDk8adSKQRCO2gY /gWsziqEV8fwL//n9xg9PYTTp0+r6SvRUXMkAkvOYZcLR0xPT6tudJnmff755ypY9iMjqfy/T+GM BqMKFtk7OPlkGhZvr+qxevjoFj755BM18nqxNiThJb1W0v4gozXZc7hfk6iE1V74FFQbxDNyf7Jn MR1DaPk+dlfHMNTfid7ntgH9GJn2yfccOt6H8dnbqDv+H1HTcwWx7Ubcn3iAcGQH50bPoqmpiXUt OlK0DywZbSwsLuLmnTHsZu0wWpoQ8W+ovYAvCyypN+XyeRUaRuPeKEimWKubflQ0nIfFXgHfXOJ7 dSmZhsnfJbwkhCRYpJ4lH/+xupMU1o0GCazn7iufQyKyjtDCLbhMUfzyy89Vs6p01B+0hiXf/8qV T5HO/Anzs1/D23UF5fW9MNvLsbjxAPGv/4wzp0+ovZA8DZWOCu0DS027DLJOZ0DR4kZF80nEfVN4 8GhC1XP2G2XIdCqTze+1GZj3VgllVBJNZNHsaUYqsgG73aaCSb5WQkmOQh4fH1d/ln6rrq6uA9WK VGChgFx+r2gvI61kZB27y7fR7DXg0oXPVQuFBNBhVvnkscu078qnl5D7+hrWlm7D3XYBTk8zTBY7 gtuPcfPuQ1WPO3nyJJtZ6Ug4EoElBfLmxlo8mg2oelFZbQ9C0U3cvHkTv/rVr34wwpApZDqTVZub LWazGqVtbvlhtnvViz0eWkZjY8Ozr5PvIS/8jS2/ulZhOJpRIzIJglddm1Duw4CCqlWJbHIXydA8 qpwZXLl8RRXZX7cnSx6X1Lwunh/F19duIrTxCMbm07C7G1RLRnT9IZ5ML6iRoIQ3ke60DywhU6nu zjZsbocQWn2Iqo5RuOoGMPf0fz9r+CyNXmSEJL1RyVQKVqtNjaRUGG0H4PQ2I59NIBGcQ9fw2e+N SiQUa6qrEM0lEErZMD61osJICtw/No0rBZZMA2XfYToWgDHlQ//xzjcKqxL5ermf86Of4Mad7xDz T8NoccBeXodCbR8i/nFMTc88G8UR6exIBJYEizR0Dg3s4Pa3j7GzPqkK5+lsAbFYXBXhS6Eix8dI /1I8FlejI1kBlOsLBiMJVHY1IRleRZk5i86Oju+NzGpqatDV2Y5wYhFxeJAwFvBkel59X7n9eA2r qKaCxVwW2UQIplxUPSbpA5MwfdMak/z7u7o61ajv/sSCmnJKHc5WUYd0tA7rm3NqMeLHHicdnDyH pKxQOrhR+vTkuSQ/X+mJ4y6Gn86RCCwhT5Tenm51oN6DyRlEUlEUpcCez/3gybYbjSKRiKlTGCSw tnxB5IxONR2MLN9Bf3enqg89/8QrheLM/AriiSIc3g5EtiNqZVJGLy+rP0lgmQxFNSXMZZPIJELI hPxqRXJhaRU1VR50dLSrqd2bnO4godfT0435xWX4EgHks0mYbWWwOKuQiC+po3EYWG9GVoQl+NfW 1hAIhhGNpxFL5ZDOFmExZNHb4cfIyPC+K8v0dhyZwJIniCz1nzoxorbLzC+uoKa1Ga4XLhQhf5ap UYXLgbraahUo24EN2MprkY5uw5IN4uTJX+wbHvIuarWY1WjJ6qpCZrcWq6sraq/gywrw8nGT0YBC Lo1cOoZUPIKdnRgyK2E4yi2YWZnD+uY2Bgf60Nraor7H675Dy6jN43YhsJ1ELh2HxV4Oi9ONnKVS 9XidyuVYfH9N0gqzurqKB+NPsLIZQSJngcVRCZurAWanC8HgEr59MInm5qbvjejp7ToygVUKIxkZ Xb50EV2dHerFud9IqburS+3lk2me1LJ2ojHA5kbS/xS9Hc1qZXG/0JCPSRuEtCiYzFaYHF5EA/Pq AqsvG71IOFosJhTTOeRSUSCXhN1ZhjJPE6o6ziGTCGN28T58wXs4EQqju7sTVVVVrzVNlK9RrRHb PuTSUam8wWxzwWCrhD+wrnrN2FD6F7LYUvq9vkooFML45BSmV8KoaDqNY9Xte1u3/v3N0GR1IjK1 iEwmq+qkL3r+Yxx9vb4jFVilJ4OMal62KiZPzs7OTnWT6aFM6SzGIjKxdVSXGzA6evWl747ycfl6 KZ5L17rZVo4UHOqM95cFlmoelY3JKCCfScJhM6OqzotUZgvRrSmU1/WhcfhLBJe/wzd3JuALBDEy NKDuT/4dh3lyly72ap/fQCy5ox6nBKvR7kYybFTTGQbWXnjIQov8PAqFIurqan90tVeeJyurq1jz R+FqHEFFw/PHCBXVdis5vcNdsVcTLQVg6aQOeaNQhz/m8+o5JL9XGYXJ5zK8PvLAOgx58kj96fRI vxolDQ4OqtXAV13aq4iCemc12ysAmxcLCwtqtfBlozKLxQwUMsimduFy2nGivxuFYhG3736HUNwP d+soajrPI+FtweO569j2X8f5s6fQ092lXkgHeVJLfUVuUj8psxsRiQWRT8dVI6nFVo6syaleoHIB 2I+dBIf8zv7wr39E0WDGxfOfYHho6KXTcWmD2d72I5GzosorW7CkJplDIZdBLptAZteHxOYjnDo7 CK/3LyN6+brZuTmMTzzBxlYA2VxOPRdqq73o7+3EyPDwgX+/tOejDiwhda/z588f6HNVYMl/i3vv njLdMrvqsbExq1aLvF7vs8+V/y83efI6bFbk46tIpDdRXmVXHfjSilBfV4c/ffU11sd+i5q+n6Os qh2NJ36JwNwNfHPzPrKZDIaGBvfdWP08+T7z8/OYm19Q91lRZodPVkKDS+rseRlpFQ0m9QKivXpU NBZHqmCH2d2KP35zW60Un/nktBr5SNmgNJqW37l8fjYn+0GBXCqGfDalTt1IBJeQDM7DkJGvPYXT p06qxR8huyImJiZw695DJI1eVLRfhdniUAsvvuAy5v7fv6la65kzZ1QdlQ7mow+sw5AnsM1mgSEf RSYWhN1dD7OjEomiHSsrKyqwJDxKm5Nl2VtqH7FYFKmddUR3dpB1tqvpgXyOTFv/y3+uxbVr13Dn /j+jovU8vG1nUNd7Fb656+pYGvm8kydP/GgPlQTRrTt3sbK1C9fMIoYGulBXATyd+gPCK2NqC5ID O6it7TnUv/eoklpfuasMTrsFRXs5nF0/x+2xr3Dnzl20t7WipaVZvaGU2hQkxOQ0jdmZG1i4/q3a f+qwW1Vz8YWLIxgaGlKneTw/OpPf+9LKOvLOFnjrjyPmm8bu5lPV1Fte24PM7pZ6kzl+/DgPdDwE BtYhyDuhFPM3t7Ywf+/vYC6rUStFyObUUrec53779m08efJEHaucyRZgsDhVqJk9vajymhFM7eCf /tfvUF9djosXL6ptPl988QVa29rwb3/8CpuP1lHVeQnVbaMIr5hx4+5DJJMJjI6OvrTOIu/m2Wwe 7sYhJMJriCUzOH36FI4fH8Dq6pp6IbW2jqrtRLS38CKna5w4HsC1m7dgKm9CXf9nMBhMCIRWsDGx jms3v8XwQBcuX76kygQyEpJwSaXSMJqMsNtsey0rz43EnidvSpm8EYUiEN16Ant6BZ+OHsfGxiYm v/1H5HIZxHwmFWy/+c1vVFsL+7dejYF1CPKEklGRFLa3t31YW5cLqvqQzZapF4AU8K/9+QYcdYOo HvoMFocHRotNXQbMoN59DarjPZuIILb9FP/391+pcPv000/R090NT2Ulrt+4jfmZf4Wjbhjl9X2I m634bmJKFW8vXbq074VZJcgq3eVIJXOwuZuw7ttAo196gkaehZS8SLkJ+i9kRHT27Bl14sbDRxOY mfodMkULKup64em4qFpcfJFFNdWXKbz8/ORrSj//Uj3zZdSpsjYgOjWG6uoqjJ49jdraGqysrMJg tsJsMqOYS6G1tVWN4ljHOhgG1iHJE1fqXvLElYP8pL4h00CpM0mn+bHGBqxtzSCx44OjslHdZBpg K9vbp7i3uigNnW4kPS1Y3hrH3//336KroxXDw8O4+rPLaJyZxcOJKYRiPrhqe5AzDGBmeQEu10Nc uHDhB+/EEkQd7W3YGpuF1TOAbDGDmYU11bbBIvv+5GcoQdHZ2YH6+jqci0SwvLKKqZlFbD+ZRTqd Qnd7w/dW8l4VUs+T9hIZnQ3096vtX/L9Hk08xlYoBU/zCaR9j/Hzz/+DGmEzsA6OgfUa5ElbOov9 ez9Msxm/+MWXCAZD6sIV/mAYgfA0wpsPkC1YYHHVwOFugL1ibypZVtUKa5kHycgG5rbmsbrxR/R0 tqKjowMV5eWYeDKDjY2HMJbVIW+sxOLyOgYGvl/cLz0e6R2zj08hjQIcVR0I+8bVWfLy8VcV7d82 CXCp4cl0Z6+GF1O1OBkJyohGHv+HUGiWn5s8DrnJ6qqMnGXKHwqFkUwlUVdb+73jsw9Dpoo11dXw ejyqrWF8YhLTiz41+k6FlzA8NKBGwPLGx9HVwTGw3iIJMHlBysimNZlUxXC5yRM2FN5BILSL4M4M dv2TyMh5fkYrTJa9y9wXDA4k0il8Nz6NbZ8fp06ewLkzJzE7v4iZhVVEdnZRWedWS/L7kSljLi8X 1TDB5qpBKlSOSDSh+o3eVWDJaNPn82Fubg7rG5uIxjPIGWwoGq1qm5SxkIEF4+jqaFFtBNIg+75f rBKu0g4iR2PLKEjqVRJS8nMuXRzkde01Gu+dtba0uoWCrQZOVzVSWw8wPHyeYfUaGFg/gVK9o3QO vDz5pQgrq4by5JURRyKRRCKVRjKZQSKdRCKdQzxfQCQaw+ZmCpnjA2qk5fFUoq6mCsFQCNVVVc/u 83kyellcXEQWDtgcbvUxqZVJFLyrQq7UeqZnZjAzt4RQHMiZvTA6K2E02/a6wQvSWmFAPOrD+NNl VFZ61L/lfZ8gIW8o342NYX5xVf28ujtb3/rIR00li3vnoBWycXjKHSoY33dY64iB9Q7Iu7S8AOQm jaqly3PJqEiCTEZB8sKRPyeTe6dElI6DkWmU1ENkFCBBuN+eRXniy33mM3HsrD2SlILLGEdjQ9sr z+t6U/J9t7a2MPn4KWaXfUgYPLB7W+Cw2JGJh9TFNqRpVtpt1UirUFQjTvk3l7bGvC+lo4aksXOn 4IXV4UZo7AmyuTxOnhhRP/e3ESoykjwxPABX2aLq5+poe/U5arQ/BtZ7IKOeUu3kxRFTac/Z8y+U 0ue+jHyuHIWczxcQiuyojzU1NqtO+Z9yBCOBI9uSxh5OYG4tArhaUVHVpjZ5J/xTcGIX9W4znHYr jEYT4skkUpk8yqqb0VBf/85XLWUUKKdWyOOWNwSppcmbiRS9YykHvG1nEV6TVdkZ9diGBo+/lZMX 5HcsxXXp7ZI3pdL3pcNjYH1gXvfFIW0VsvwuLwgh7+A/9XRLtjOpsFrfhcnbD6fnGFI7W8gEn6LO lVcnUEgbSGkVTB6bTIlllCijl1ddHehtkpCSRs17340jmy/g5GAvRkfPqlHv0OAA/H++i1hwEZ6m EQSXs3gwOaseZ39f77Pu9TchAfjiYgkdHgPrCJEX2Lu6JqFMaeVCH4vrYZg8/ap9Q7aqFHbm0FHn xNkzn/zgnLDn63ovIyPM0ibht1njkfuUwvpOyog8bJhbXFaHHkotqa+3B+FQCA8e34dU/CqPDSO0 lMajyRlUut3qvDI2dX4YGFj0WqT+Jo2zWYMTFhgR23wMQ3wZPW21OH/u3KFHE6XVOhm1ydRNWgxk tfVthVZp6ieBnsjbsJOIYXp6Ro1E5Xbp0kXk8zmMP72LQv4kHJXHsLXxHfyBgDrj6n0vDtAeBha9 FqmpyRn324F5xBcXUVnhxMjI4IEuzPGylojFpSV8c+26OtCwr6sdf/M3/+nAdS6Z8smt1ErwIvmY TJtX1n1Y2o4jZS3D/bFJpNIZdHa2qxXYq1evwma7hYfj3yFjcMFikIUO1po+JAwsei0SJJcvX1b7 JyVsZEQlBerXmTpJ0KxvbODOvTFsRU3wtF1AKPTk2croq0ZZMj1VvW6hEBxqm9JefezFfX4yRe1q b4Iv8AiJnAlFRzNu3H+K6zdvo7ujRV1h6Wc/+5k6K022WUmdTc72/xCaXGkPA4tem0yTZOXrTUlt 6cHDcaz4U6jtuYJMZBUOh+1ABxjKVHJzcxO///0fMDO/pC74cayhHn19vejq6laH88n9lK7CLduf 5O83b93G2uY8rBX1MDjKMTu3qC4KItNG2d8nN/rwMLDovdfC5ubmMb8agqdtVJ1Dv7u7gd6OYwda +pfR1c7OLkKxHNrO/Ve1TzMeWMCd8Wn8+eZ92C1Qm49LVzeSIrtsCG9ra1MtDnKGmIzOWs5+rv4f i+sfNgYWvVfS/e8P7SJv9cLpbkQisgpjOoje3tFDbEZ3w+t2YGv5W9T1fQZP6xm4m0aQzyRU82oy 5seTNT/GZ+4D2SjsFqMKMdlJcP7c3rE9PM1CDwwseq9UjamYQ9y/iGwqDlMhhuNdLQe+JJlMGWU1 8cql87hx+x6Wxn4Lp7cDFQ29sFc0wOr0oOBtRSGf2TvSOJNALhlGILqF4Pic2qj+V3/1BVcBNcHA ovdKCvUjw0OqgTORTMPraVMd+gcpdEuRXYrjUsOS2lNHaxPaW5uxsr6NzYWv4c+ZYHVVq+N9HBV1 sDjcsDorUXQ3IFfZjOj2NJZWJ1Xt6l2faEGvh4FF73218dixRrXJW+pRUsg/6PlQ0jUvhfZ1XxRl FUVYi1toqvfi0rnTam+mnPq6d0LGPGKhKXXB04LBoi7PJQcq5pNhVDlMHF1phIFF713peoqHJaMw m82BggkwVR1HPLyC+cVZdTKrFNXlTC4JNamTlU7IiCeSSKWzyBcKsNvq0NLUqEZ5pAcGFmlLRmJe jxvG7RRs5dXq6Jbc7pQanZVOFJVb6YQM2Z4jq5ISZPLn0ubzd7mnkd4Mf1OkLQkc6dcyFLLIxsNI hRbR1dK077X+Sh3wMprb71x80gMDi7QlfVpW2bqTTyIZXoMpLRfe+IKd6UcYA4u0pS77brMC2TgS gRm011eoM+zp6GJgkbaeXXrLaYHPt4nqwXNc8TviGFikNbnkWldnJ5KJBKeCHwEGFmlLNj7LCEuu yiyblWUvIB1tDCzSkrQlSH+VbGAOBAJqKihHRNPRxsAi7chxNPfv38eDhw+xu7t3kVabTS4aMYhf //rXvMDDEcbAIq1sb2/j+vXreDQ+gXg8AbPJqA7sa21tUWdd8Wo0RxsDi7RQOqjvxo0bmJyclA/g 5MkRdQVpOf+9dDY7HW0MLPrgyZRvbGwMDx48wPLysjox9MSJE+r8eDlaRrrXeRXljwMDiz54coqD FNfX1tbg8Xhw6tQpDA4Oqisq84TQjwsDiz54UpeSKyfL1E9OdZBu9rd1GXnSCwOLtAgsuZKNXEX6 ZZfxoo8DA4u0wKAiwcAiIm0wsIhIGwwsItIGA4uItMHAIiJtMLCISBsMLCLSBgOLiLTBwCIibTCw iEgbDCwi0gYDi4i0wcAiIm0wsIhIGwwsItIGA4uItMHAIiJtMLCISBsMLCLSBgOLiLTBwCIibTCw iEgbDCwi0gYDi4i0wcAiIm0wsIhIGwwsItIGA4uItMHAIiJtMLCISBsMLCLSBgOLiLTBwCIibTCw iEgbDCwi0gYDi4i0wcAiIm0wsIhIGwwsItIGA4uItMHAIiJtMLCISBsMLCLSBgOLiLTBwCIibTCw iEgbDCwi0gYDi4i0wcAiIm0wsIhIGwwsItIGA4uItMHAIiJtMLCISBsMLCLSBgOLiLTBwCIibTCw iEgbDCwi0gYDi4i0wcAiIm0wsIgIuvj/lWKJv7x02TIAAAAASUVORK5CYII=