20250611 09534400 FALSE 20250425 08271300 20250425 08271300 ESH_State_01 002 228321.109380 2345324.250005 103793.234375 1660020.625000 1 6.520 Projected GCS_North_American_1983 Linear Unit: Foot (0.304800) NAD_1983_Oregon_Statewide_Lambert_Feet_Intl <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/3.3.0'><WKT>PROJCS[&quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&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;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312335.958005249],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.5],PARAMETER[&quot;Standard_Parallel_1&quot;,43.0],PARAMETER[&quot;Standard_Parallel_2&quot;,45.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,41.75],UNIT[&quot;Foot&quot;,0.3048],AUTHORITY[&quot;EPSG&quot;,2992]]</WKT><XOrigin>-118489100</XOrigin><YOrigin>-97381100</YOrigin><XYScale>3048</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2992</WKID><LatestWKID>2992</LatestWKID></ProjectedCoordinateSystem> 1.0 ESRI ArcCatalog 9.3.1.3000 en 2001 Essential Salmonid Habitat layer created by R. Sounhein from Oregon Fish Habitat Distribution data. These data describe areas of suitable habitat believed to be used currently by wild, natural, and/or hatchery fish populations. The term "currently" is defined as within the past five reproductive cycles. This information is based on sampling, the best professional opinion of Oregon Dept. of Fish and Wildlife. Due to natural variations in run size, water conditions, or other environmental factors, some habitats identified may not be used annually. Historical habitat distribution data are outside the scope of the standard and are now maintained in separate datasets. Key features of the Oregon Fish Habitat Distribution Data include: Name (Stream Name), County, HUC, Basin, Major Basin, TRS, and LLID Habitat distribution data mapping was modeled using the 1:100,000 scale statewide a Pacific Northwest Framework Hydrography dataset. The data was originially available in both ESRI Coverage and Shapefile formats. The data were developed over an extensive time period ranging from 1996 to 2001. To provide an inventory of 2001 Essential Salmonid Habitat distribution for mapping with GIS related tools. Randall Sounhein, GIS Coordinator, Department of State Lands Sept 2001 ESH_State_01 vector digital data withheld Unknown Final edition publication date 9/2001 unknown Complete None planned -124.783220 -116.418058 46.303554 41.962491 228321.109375 2345324.250000 103793.234375 1660020.625000 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Essential Salmonid Habitat, Salmon, chinook, chum, coho, steelhead None. This spatial data layer was developed based on a variety of sources. Care was taken in the creation of this layer, but it is provided "as is." The Oregon Department of State Lands and the Oregon Department of Fish and Wildlife cannot accept any responsibility for errors, omissions, or positional accuracy in the digital data or underlying records. There are no warranties, expressed or implied, including the warranty of merchantability or fitness for a particular purpose, accompanying any of these products. Notification of any errors would be appreciated please e-mail: randy.sounhein@dsl.state.or.us. Shapefile Randall Sounhein Dept State Lands GIS Coordinator mailing and physical address

775 Summer Street NE, Suite 100

Salem OR 97301 USA (503) 986-5270 randy.sounhein@dsl.state.or.us 7-4 Department of State Lands, Randall Sounhein; Oregon Department of Fish and Wildlife, Brent Forestberg. Esri ArcGIS 13.3.4.52636 ESH_State_01 228321.109375 2345324.25 1660020.625 103793.234375 1 -124.78322 -116.418058 46.303554 41.962491 1 1 -124.783220 -116.418058 46.303554 41.962491 en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20100122 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 6.520 6.520 002 withheld Local Area Network 6.520 Shapefile File Geodatabase Feature Class 6.520 Vector Simple FALSE 0 TRUE FALSE GCS_North_American_1983 Custom coordinate pair international feet 0.000000 0.000000 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Custom EPSG 8.5(9.0.0) 0 ESH_State_01 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. FNODE_ FNODE_ Double 8 0 0 TNODE_ TNODE_ Double 8 0 0 LPOLY_ LPOLY_ Double 8 0 0 RPOLY_ RPOLY_ Double 8 0 0 LENGTH LENGTH Double 8 0 0 LLID LLID String 13 0 0 NAME NAME String 60 0 0 COUNTY COUNTY String 15 0 0 HUC24 HUC24 Integer 4 0 0 BASIN BASIN String 45 0 0 SUBCLAS SUBCLAS String 13 0 0 SUBCLAS_ SUBCLAS_ Double 8 0 0 MAJBASIN MAJBASIN String 20 0 0 COUNTY2 COUNTY2 String 15 0 0 TRS TRS String 15 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. 20250425 Dataset copied. withheld 20090810 07481200 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAY8scWPMkRMkKNxxknoPxqpa6xp17qN3p9rdxTXVoFM8aNkpuzjP5GvDvGmmWfjD4j6xbp rH2GKJYY2eQrtMiJuYsM7ljC5+cjbuHPauek8UnwHqV/p3h55GeO6tna6iUfvEWIrJGd2/5SzfLk HoDzgV7NPKfaQXLL32k7Wsle27M3UsfUFFeKeD/ihDY2kh1a+utRuZZYQ82/coQkqf3eF2MMqD1B yOTXtdeficLUw8uWZcZJhRRRXMMKKKKACiiigAooooAKKKjnmjtreSeZwkUSl3Y9FUDJNAElFctL 8Q/DkXnqZ7xpIArSRDT594DKWU7dmcEKean/AOE10dtQksoDdXMqEAtbWryJjHUMowRnI9yCBkit vq9Zbxf3CujoqK5xPGumTXLQwQXsqx7hNL5BRIWVN5Vy+Np24PIwNwyRSaR420zWmT7PFdRo9z9m DzIF+fazDIzlc7CBkDkgd6Hh6qV3ELo6SiiisRhRRRQAUUUUAFFFFAHzN8SrmVvHtxpUOl2QZL37 QtwYGaSYsOjkDJX+HAHbvwaxrzRjFpKvbQyW0ayQ2zsMf63aN8m/7xBwQFAwMkYBPOl4p1eO4+LG qXEURnhhleUCaEsdsce4kDP3coWUjqG564rS8HWehxWslxrVrHqDXEccVuUuQsrGRhvIZiqB1Lo3 3iQXb5srhftIzdGhB26LT1Obdsr6Z4aez0rfk3OqKpufNMsY8tflYshY/KY32Fu5O5cAZavo3Thc Lplqt3KJrpYUE0gxh3AG48YHXPSvIrHw5caBfWV5rixadZXIeF2dt0kAEhkJbZmNQ+McNgbzxztW /ofj/TdAjuNHtbaT7MqC7sPtd0kcaxPjMXmMequWGOcYIySOfIx0Z4pXhrb+t/6/I0jaO56vVeS/ s4rj7PJdwJN8v7tpAG+Y4XjOeTwPU1514L+I0/iGeG11Kezs8RriUSkNcOuS5Usmwg7SCAQQNxHA BF7xI14kVzofhKW3hlNnJLLJAGlnVwwCIWydhdn6tngSHjGa854OcKns6mj/AA+8vm0ujqz4k0Zb 57JtQhS5R9jRudpzkDv2yQM9M8da1CQBknAFeMXnihfDXhfRtKGYJdXtEuJUgiKShpM5WPYPkG77 vyuTubgY5tWWla+2j3esa5c3bRPIALC8klP2lG2qIWXjbg5w237zngKMttLAJLmbstl5+guY9dor nxNqurm4XTrm1sLFJJLdJfK8yYmMlHKjIVcOCBkH7ue/GD4a8XakdV1Cz1rD2seoPaQXOwIyYbYm /AAZWYMoYdGABHzCuVYaUotp7dOpVzvqwNfl1CPUNOfTbP7VJbia4kjMhjDqE27N2CNxLggEc7eo wTW/RWUJcrva42Zlp4h0e9t3mh1G22xrulV5AjRD/bU4KEHgggYqpdeMPCqwsk3iDS2V1wUW6Riw PsDk9aofEG50Sy8OTzanFA928bLZZKrMZQMqY26gg4ORyMcZOAaM9ppHizwvdahbaVp1xrMVk9sV 86IspI5QvEzbQeccggE/dya6qdGm4qck0m7dCW3seWaxf6DbzzLpuoatd6dPbiSJZ5YhGyoWTqzB lU4YY2hiQCpzjN3Q7jUdQ0ez03UIJLVYJ5Z5pLbMBl2PDI77lA2mNNw3N1LqeoDVnGx/tJNQtLrT rI28NvJLb3VrCpFvKQzKJJlZtqlh5YQsRyTnIy0U02rX11b6BdrbyaRa3xLmRDI1o7TiPa7AKGKN IvBwCoUDAIFfROKcVFbrr1209X/XYxG6hZax4V1S+t2nmns7lDPPLbky27oJiGOwDa4QctkDB44B w3WaDrMms3GpzXWmW8WnSW0kdzbIFSd5GZpImUA5LbmIVgGO5mORxiTQZ7bStO1Fda0+6vtLNpHb S+WPNmtAZZImiP3WMZaHgLkLnAyBmtLxxpkEMcWn6Dp9ja3VkgmjuicTxvkuIY8D7qhVLZOFjxxy K5alVTl7OS179On4rT80Ul1L/wAP/GdzqVpp6ahemdpUEc/mRruhmcB4sspxtdSwGRnKhepr0ivP fBOk2AltI7S2It7WL7XI+woHkmJkhXBA3bEduDnaWFehV4uN5PavkVjSN7ahRRRXIUFFFFABTXdY 0Z2OFUEk+1OrB8a6qmieCtXv3UN5dsyoGxgu3yKDnjG5hmrpwc5qK6gz5xXydY8T3uqm4kjk+1+d FcxRmWII0o5kXYMg7sbmYdMEZGK9Ei0y3j8PRxCC+TU7YXDTSTBr93mQbQpiR/LLMJG5bIwD1BJH nPhHXINLms7aTTNOmtbqUSXbtE9xJHCvU4QnYvDsV5OOSuME+2aZdadoOoT2vhey09LOW2V4syXH 78xpuOzCMrYVhlV+YknPNfT4+U4NRinpt8tNf8tfkYR1F0LUNaivpbbxDeiFNH0mGacWseVdmDZL 7g2WXYCNmMknPGBXDalc2fijT45Neso7pr6SeWOTT4ES+twpYhCr4V8xoVDDn5F6tg10N1qF7feH 9a+1taWw8QYmt2jZ5FhePy4ZEc7BscBU5bhWzk4U1T8PeDfF1lpxm1HVNM+ymYXs5vrlp1R1cPuG Pl2n59xyCST1xmuSnyU71JNRlp+Wtref5WKeuhD4X8HRaBf6da+Iori906+giktbRGLwQ3G5UYyK G25G9eSCMscEtjPbeGfAtp4OsNREmsTm3njdSQ5gS3Qlj8pDcEAjDEkjBxjJFcnpnhWa78LC001L KfarTTNH8xUCRJVtonztZWZfvjIwigjIzXTWuoeIYND1GdryCA2N9JBAL1BiVMgIHKgcfNgBMsTg ckYrLE1KlS6U93Zrb072/pjikuh09rZ6NpthaXEYtVhgt4oIbuQqT5Y4QeYeo+bjnq3vXFt4kttW 8czuYLjULSwwNNhtnHlzyopMsoDlRIy7to2FiNhPcUzw7rosri70LXbWyOmJKZoJYLaaNIpC4kWB 45FBVyW3IozkYAzxmK2NtCrYvpja6f4giNnHKFiDSygbuQMBC0spxjoRjHFYwo8kpc92+j9f17+T G2bd9HoGsT2xEkhhkhme3+yWjtOsnmh5WLbC0ZVwnynHzHBHQVleJrzw3LM9ux1PSr6+STzFNhN5 cu0hiZF24cZQEsnO3dzgk1s6n4SsrRNR1Rb64guJIp0R1fZ5fmuXCrhl5MpB5b5jgZA4rChsNX0i zYTRXv8AZ41Fbq5Oo+XNJEoferiQOS2AsaMCTwWIPG0Ok6bs4yeny/TXp8wdzT0T4i6YBZ6dqVpe 6bL5B/fTnzYCY2KMPN3E5BUkl8HHJ611Op6/pWj2sVzf3scMMrlEflgxALHpnoFYn0xXnEtlB4gv NQvdNsbiZ7p5nR52BQw+XGpbYdgjDNF5eckkK33gSRxVz4f1tZobV7IWdqtuLkWtsU+SNfllaJFl /esVBUEnLKznliGOiwVCrK7fL3QuZo7v4ieIfC9zPZpPCb25spp9zwgh7Zo8L852khN5U5wwyq4D dK87GoTvot5d2P2+01m4ZZGkQxhJ3kL71aVQpLPuLbTj7yhQMDMlhJJP9gvtJ1KWC7ytu63F2sKC AnKhCFO75spklgPlUhh1zL25u4NPXSZGgawuc3CW6KI5IZ4wWO4ud0RAcZfgMBgA859TD4eNOKpr W3f1u9P6uQ3fUseE/BWua3PJqljDHJDEoUrbvGY3kCFtvzAIORHlefvgEHDY9DPhm58Fadd21xpl 1rVhc7gzwTvsl3OxCywAHYAGJzGMHaBjJ50/gzHeL4TeS5snt4p2EsL+dvSQHI+Vf4cAKOpJxk+l ekV5mOzCoq7ptLlX9bouMFa5xHguwdmkuHtroWMkTpB54ABiYqVidG+bMfzqDyrAsc8gVg+KNL1H VPEl7Hp1vfeXM4jLNayeXIZNiSF2ZQpVBCrBckNkEMBkV6rRXDHFuNR1EiuXSxR0vSrfSoHjtw37 xlZyzFiSEVByf9lFH4VeoorkbcndlBRRRSAKKKKACuA+M9wtv8MtRB3bpJIkXDY53hufbjpXf15d 8c9Yj0/wla2TysPts5DQodrSKqEgg4IwHMZII57YNdmXxcsVTS7r8NSZ/CzwbQrlIdftLmG6NpJn LpHF5iHO0Bfmf5g2cMGIGMjkcV6fbT2Wm+ItatLUyQi5n8uOzukVZxO2wGGK4VmI3HchbO1QOpJB Hm3hzV9WguEh06aCLMsUaySYVYyXBDZJ+X5gDnHvXuNjBHd+ANO1VLcXt3azKNSuHnZ2MaOrTyjc fmcrGuM/MBgYGNtfTZjPkkubZ6fqr/1/wcYamZfeAdW0WCyhhvVjt9Sn+z31ul24VjsYLIzsCXO0 YK7dpIzgdpLDwTYapqJsXe8t9TLG5uHW1iBtRnH7ueLYu0srADDchjsUgmvQ/FWn3OsaNPZxW9hd 2VxA6TRXDlDyvyuj4YAj3HocjFef2us+IfD17HoFjNb21uLPZaW97ayNJHLjhdoYkpkH94rPGBjO D18iliK1am2pLm/r1/L59DRpJnq2n2EOm2UdpbmUxp0MsrSN/wB9MSfw7VYYBlIOcEY4OKxdIvLy 20SO91y7DNOYmQfZvKaPeqKsZUFstvJ79WwK268eaak7u/mWjFk8Lac8bBHvop2GPtKXsvnAem8s Tj2OR7UqeE/D0bSMmjWQMqbJP3I+cYI59TgkZ68n1rZop+2qfzP7wsjy+11221uKbwta6lG9xpt6 CsjXWGmijdZA4LbiSgxgk4LJ6cVMNck8Sapd6dZXcMbm2c2ouORPCy5VTuyN2+PLKQSY25wQRXow t4BKZRDH5hG0vtGSPTNc9qvgTQNXihhuLV44YpDKIoJDGpY56gfU/TJHQkHsjiaLeqa/HXq+hNmc L4o0+yiXV3tNXnaWFJ4Z7K1snjeJSryZ4+6m7b85G1gAM/eJotYX+jWklrd6XeakJJHGLGBXmjRW P7uVlLHeyyLzksFzjOMmfxz8Pk0jSLt9K0/zdHgt/tEqzXjHymUtvdUPVthXnIOEwcj5TzVvqEkQ SXR/E9xpAMs9zHb3TsgmUyhQxkc4mwqjIBYnZwD0r1aKVSmnCV15r/Lb+tSHozW1vS4kjmjTR7a0 DB7hrD7TEk8Fy8bNH5JUZ6leCMg7RyoGMuK3aGJf+El0eHWLdPKS7v7C58y4tyCCRIFJyzbRlj1D KpORxavG8Rwz2+peIJLaKQCK3tdRNr5qtEI5JC4kALh8KFyDg7jnIGRLp+g+IbO402aNpZLfVpIb W6lgk2wSRlmIKYXK/LGp3EZ/eEYBzWqfLHWS+9/g/wCvMR7J4attKtvD9p/Ylp9l0+RBLFFsKEBu ckHnP8+ta1FFfLylzSbNwoooqQCiiigAooooAKKKKACvE/j+JidBdIJZI41uQxETFMsq8EgjBwp/ DJ7V7ZXzf8dNZ+0eOILArhLS3A3kMvLnJ9iPcD159PVyaDli4tdE/wArfqRUfunm13Z3GnSL9utb u1aYCVFdGUGNuVIBOTnGc57d+31l4L1Tw/r3g+1j0VAunrD5H2WQjfGo+Xa4yeT+ua+WdesJLWWO 3h1A6pDBbI7SxM0kcRYZYA4wMEYyDg4+oFrwb4p1jwrqCtpdwsK3jLDMfKRjtBB4JBweTX0OYYN4 yinGVpLVdjGEuVntTeItZ03VrHwvr1rayxW21hNNceTHcAKTGXcgg4MbHHBYgcDaQ2xc6nb+ImSV vFXh/wCzKXSXTri1WeFzxyGdlZ8ZOGACtnp1rYh0JdYn1q18RaVb3FtLPFJC8j7/ADFVcKMbRtK4 5wTks3brk63eXHgPw+NPjS4Oj4EVvewJueyTIG1+DnrhGx1IDHI3H57nhOSjBe/8ra7tb6/j+Rrq txbnR9TudQl0+TxBdyXFhLaXdrA6xRxzxqyn5girn543GBjHGc5Fd9XPafpllqT2upx6tPqNvG5e JJkhkVW/3jHvUg8/eBBH4V0NcVefNaPbysWkFFFFc4wooooAbJGk0TxSoHjdSrKwyCD1BrnLfwJo FndWs9lbSWptrk3KRwTMke4g8bAdoXkHAA6DtkHpaKuNScE1F2uKxBeWVrqFpJa3lvFcW8g2vFKo ZWHuDTra1gsrWO2tYUhgiUKkca4VQOwFS0VN3a3QYUUUUgCiiigAooooAKKKKACiiigCK5uYbO1l ubiVYoIkLySMcBVAySa+RPFOow6z491S8nW8VZ7tl2kYlCZC7dpAOduAFPT3xz7r8crtoPAAiEDy xTXcQn2j7sYOc57fMFH1Ir5wsmjl2wNiHMmftCDlFAOccjPQEDqSOOcg/UZFh1GnKu+uhhVetj2P x8nhbwnpOiajoenmaS5ZFeN5GUSWoRtyMh6B85+7yQSOea8u2WcVw80pkWGNpDEkse3ymGXVMZBP XaQCOT/sjd0+s+EG0fSNM1IzGe3vGaZbq9JicgFSGEbthWOTwSd2xcN82KohrexsUl/tNv7NM6w7 LdmQuFBbcAcFR8xzhiSykDjAHdhuWFP3ZOT11/rsS9z2Gx+NWlTWiPdaVfRXLgtHAhRjKgYDcoLA 5IOcY/hbnjNasmtalrj6lFJo6tBpN5EZrNZQ8twgRmK4xgsDsYLnBxjPr574e0BNV0ufWdWU3umS OEmur2UwSvFGf3cpMsZGNijPlv8AdI7g7vRPBf8AZ1tqd1p+m+JIr6OLzN9oLdFcsCmZHkADSMM4 LHOS3JyK8PE0aFK7px1Xr5fd8/U1Tb3Oj0qzVZJtQfTzYXU5KyRCbcCqnarMFOzcVVeRyBgZ4rUo orx5ScndmgUUUVIBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeDfEfU7LXPiOLHUL63 hs9GMJEExOJgSHlP3Sp+Xau0kZIHpxh+EPC+ia5qI0yK7MIYxzW9yUkXzwgHnKVLbQ6jDgjcucck EAd38XtOht7+w1iGd4ruWGS1kjicxvNHxx5gU7R82CDjO7A9aytCtmgv5LLTZbbSr9dPVLq68xZo 4SHm8ySNiQoG1VyVJ28jaCGI+no1rYSLptrT7mt3t39dzFr3tTP8W+KdP1LwJb+HbPUrbVbmOWMC 7uLI2pSDnDRkgBSAoBbGCCQK4iDQpdRtI10/SrZhLEfso+1lzMwdUIbaR+8JfIBxwPu4OT6Dqoht 00+yvl025jmjddP1K4mMFxJCY8iT5UKom5GGGVtwlQdjnAh8KWek6ND4vN3A6m7VLW6jctEsocrv YEZcFlBJO0AbsBjgV0YepGlC0dLvTzb9Ldu3dEtXYxLm5/sHTvCMmjrFdadJ54sHZ/Nu7ghzuBA4 APVAwLDGMYwfWfhx4RuNBg/tK4Omma+iL3Bt43aQyFs5812JIx1XAAOevWue1jW9f1WCz1GwsLax u7tjb28jwhWUtEC0qTspymCV3DAYL8rd67bwRqHh0aLa6TorJbvBEWexZ8zRHI37wefvN16c8cV5 uNrVHQ0VrvW2vr+P/D6IuKVzqaKKK8I1CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKAPP8A4gzxW2taJNfafPqFgolVrZYHkV5HARBwwXeSeMg4G49QK4nxPpWkazqcdtpk9par9na1 a5eCd0iYOqhPOyN6ghkBAKrhR1Ir1fxjpV3q3hy4g09k+2LteJZSfKYhgcOuCHGAflIOa8Z0rwl4 qcvHqOkXVvBfOZLny/3ZWVWRw+IUHUkgDp3IGwGvdwE4+zUuazjpv89jKa1I9a1O6j02dNQiRLyZ F0xYPKkiSytgd+4STZH7w4yTnKg84XNa8Fu2s3FrpFneQ6ZqDTR3KrNDCsUro5JaIxhTghmZQygt nIyMtSf2J4t8R69rF/b6a1pFdxLGyXcOGdonXZzIOOfm75Cjv07OX4egafLPATJeSW7J9lvRHJCH LfKwUgou1S64AwQ2evNb1a9Kmkm0n99npv5fn6iSbOfGj6sEtbLUdXnmvZVafTZrWRWhuLknzJ49 /lnZyuVbK8Fhj727W8Lrqtj4htYPEGny3TXJZ9O1dwEuPL2ZEU4GGyFzkEYDA9eKsWPgjVfJg0jW LpL7TLePFpL92S1by9qshBHKnIBIJAIwcgk9houlvpum28NzcSXd1Hv3XE773O5skbiM4HA+iiuC viY8rimnftp81+q/pWkaVFFFeUWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/9k=