20060312 11350700 FALSE 20151015 12183300 20151015 12183300 SPRtimberType 002 6050597.333500 6065862.332000 1843365.829500 1861068.582000 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_California_III_FIPS_0403_Feet <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/10.3'><WKT>PROJCS[&quot;NAD_1983_StatePlane_California_III_FIPS_0403_Feet&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;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-120.5],PARAMETER[&quot;Standard_Parallel_1&quot;,37.06666666666667],PARAMETER[&quot;Standard_Parallel_2&quot;,38.43333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,36.5],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2227]],VERTCS[&quot;NAVD_1988&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,5703]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>2000</XYScale><ZOrigin>0</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>2000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102643</WKID><LatestWKID>2227</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem> {237608C3-3929-428D-B529-11B3B7ACC5D0} ESRI ArcCatalog 9.3.1.3000 en Timber Type of Swanton Pacific Ranch Mapping, Management, and Educational Purposes only Screen Digitized in 2/2006 from field mapping on printed digital orthophotos using GIS layer of CFI grid for local control as available REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. SPRtimberType vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. -122.252288 -122.198859 37.093631 37.044247 6050597.333500 6065862.332000 1843365.829500 1861068.582000 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Swanton Pacific Ranch Timber Type Vegetation Type REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. File Geodatabase Feature Class Esri ArcGIS 10.3.1.4959 SPRtimberType 6050597.3335 6065862.332 1861068.582 1843365.8295 1 -122.252288 -122.198859 37.093631 37.044247 1 1 -122.252288 -122.198859 37.093631 37.044247 SPR feature layer showing various timber types in Santa Cruz County.<div>Types= RW: Reddwood, DF: Douglas-fir, HW: Hardwood</div><div>Species_1= Redwood, Doglas-fir, Monterrey Pine</div><div>Species_2=Hardwood</div> Forestry Vegetation SPR timber types interpreted from aerial imagery and forest inventory measurements. 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. 20091027 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 0.057 0.057 002 withheld Local Area Network 0.057 File Geodatabase Feature Class File Geodatabase Feature Class Vector Simple FALSE 67 TRUE FALSE GCS_North_American_1983 NAD_1983_StatePlane_California_III_FIPS_0403_Feet coordinate pair survey feet 0.000500 0.000500 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Explicit elevation coordinate included with horizontal coordinates 0.000100 NAD_1983_StatePlane_California_III_FIPS_0403_Feet EPSG 8.6.2 67 SPRtimberType Feature Class 67 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. Id Id Integer 4 0 0 Type Type String 50 0 0 Species_1 Species_1 String 50 0 0 Species_2 Species_2 String 50 0 0 Species_3 Species_3 String 50 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. ESRI Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. 20151015 Dataset copied. withheld 20060309 17394700 Dataset copied. withheld 20060312 11350700 Dataset moved. withheld 20060312 11381500 Dataset moved. withheld 20060312 11382200 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1y6uD dRqAsROSud/5VRk0wmfMz78cgMePwFbVpbKscgcI+OnyAY5pl9HuhyGK7e6is2k9RooQyxRXSxs+ XHRQOB9aopqsk+oOZRxC2Ag9asxRxWymRs4HzEkcn61hWDk6gzjJL5J9u9IZ1n2vc3y54XdTgrzx Au2cElVwOawVW4aVWMhC9wGz+FdNCC8ab17CmgM7YsducfJLmoopXd90ICndl1/ve9WL/Bu0ZeUH DAd6hMXmI00eSVGQPUelIB17BHcR+VkMzglT3BrJ0yVrS/WF+Q524PY1fuSJkWS2ys0Y+50zWY5a 6ZJoUPnoRnHWkB006sYSQfunFVI2diXVlQL0BHWrrSFbYkryeea5PUtRee8FpayhnJwzgdD6DFE5 KOrCMWzWXWI59YFqjKZNv3scZ9Pyq5c3AgjADBpH4BrH0vT1s1LYJlYck9T/AICtKKHMhdyJJiOn ZR/SiPNbUcrX0C0iYNPKwIU85PU1g6SWj1QBThmyCa39UvVsLAnhpH+UCsLT5BHq0cpAO7I9skUM RpXOLLDhirs4VgO+eh/nUdrpxilaeUlp2bPPai8hefV7XzcMr8lV9q2xGg+bGc989KYGZcQ3Ei48 x2A6ZHSqpeaNcMzADj5WOK3W4xz3p06I6AsoIosBi2fkNICAeepzyPzraf7PGBwpbtWdLpBDiW2l UMDkqeKteWkNs00hxtUkk0ICnqeoyWsCpCC0r9/7o9ayLJHW9WWdgzMDyTnmqgvLi7vxlgA5CnC4 zW6LeNFkxGTKMlHI7j2o3ArSKFkby/lQA73HHTmmRbYwZQDnHBbFMkkWUGNiTKckg9B+H4Yqzb2g KIZFZ2wCwIwPpSASK0+0Ms86jbzhe59Kdcm4aRDGPMUHDA+lXMljgDp6Cp1t9scJyAQSX59aYFCK 1M4MXyqo6rnGf8av2cQjuxFId2V3J0xVeEiSRVUZYSE7l7DNOv5ZLV0u4x8sbYII6g0AbToGQgAZ NV1s8yGSVtxAwoHQU+O5WS3SdQcNjA96R7oomXjYZ4+XmqEKGMEQH3sfnTobhZ03DPXHNVvtMcnB lKZHVlxT4oY442KPv3elDbbuJKysWi5XjNIwDxMr8qwwaht5PvLIwOD8p9vekmlKsBngnaMdfrQM Q2wJO2aVCfQ9KmSNVQBizEdyx5qEStJIqge+KmCerHNFwGWsqq209G5Ge471IwwSrdf5is0H1zxy MHoatQzF0Ecsg6fLIRyD7italJw9DGlWU1bqZWqsEtmgRSZpDtVRyap2Votnb7pCA55dj29q2bqy l8zziN8irgbeKpjT5ZyrXjqigfLGvQVhY3Esp7NS7c5zwWH8q1TLL9iMgwG65Jxxn39qqrpsETI2 WIHIGKt3LnySkYO48cU0JkWweevGfWq5BhEkqnES8H0q9ICsJxgHnLVUEQukjhUnyVHzH1NNtaWE k9bmdfobmBbm3Uhl6f7QpbK1EssUyEApjK9x9adLfx20ssCA7QQFyDjP1HQcVDptwbeTz5W/dyHB wpJ9sD61nKSja/UtJvYk8U3Mlvp6rE5TzG2kjrjnNYnheATahKxGSkfyjPcmrHi15JJLVwD5DIWB xjk//WxVTw3N5GoyyckiBiAO/Suecr10mbxX7lsuX0uoatqD2didkEYPRtuccEtS6NPBpV81pcXP mySsFOzlEPuTzn8KraPepzHvK3Fw2zgHgev41p/2FBpOmz3DP5tyUIBbgLn0960SvJTiS3ZcrMq7 mN1qE4L7lZzsY+nati0sobK3jluVJkIyf9gVn+HYEuZ5JWGRB0B7nt/KtwxtcuVY5B6k1qrNXMnd aCwWo+0efGjOcYBLdB7U97o2z+VLjBOUY8A+31qBdMuUgWW3lyRyF6cVG16TCi3cH7uThmx3zTET zXkqkr5a8f3npsc08pHmS8H+FBwPxqZbOPy1MLbk6gN8wqZYyiEgAevHNADYVO7KxfRmqrrjyrpb RqRuZgCB6VrqANo3E/WuU1K7kbV5lJ+QfIvpQwRnWKkyoB1Vt1a0lzLcSzBXAzjAxggf0qgV+zSr Kp+YHlRRJK8852rtmI4C9WFSM0Le0Il8xQuc5DZ71qDeVBJAJGTjtUUAmW2jVtoKrwPT60/znAxt z2OO1UInTYFAUjcfzzSSxeau1PvqwOD3qs7TBWa3VXY8Z9DUqzQkBGdo5R1OOCaAK7sEvAqDYsJ3 Njv9KluUa5uUt0xt2FmzyOe9EkZmck7Cw6Nn7x9KYoKxXUpOWOMkHpQBet0isLRYJZAw75NTSW6P FiMn1BzVSeB54XUlSNuB61RivZlmijEwZuAUA7UwLkgn81VKBjnglaZMYYzuLbJB1MZ61oyQqyBw SvGSKrOQNxjQN3+73oApNLC5d1iY7UOVK8Gn2ZeazjldyQVyiA52/jTpLxYixmBGOMAY49qzLCZ4 bpFUt5ExPX+E0gOislIUs3XpVvIqhC4W5eInleRzyc1eG2mIyqOxHrxRRXrHkFuxm5EDE7T9zJ6H 0qxIowTtOe/rWch2sHwTtOdo71qbhLEJFOTXnVY8s2kelRnzQTZDGQ8ZOAp9M81WdCCcDDjldw6/ nVkQRibeUG7rml+WZMAcDoazNSnJL50UaMGX5vmGOcU0+avEQI5+UBe3vVspsQORkg4+opLmPfhg cN0pARJbrb25VQGZzlz61l3lv9lLSqrGFzlgP4T7VaS7kglaGfjP3H7GppYftKOjPhNuR9aicFOP KyoycXdGXYajba28mn3EDOAudzjB4/ka53UoToeqyxW7krt4LdcEdK17GCePXJWhKxGSEqGYZAf/ ADzWRPpt9PrRtrtz9obBMjHII6DHtXNV5uVK2t9zopcrb7dh2gW109yJoIgduRuKk4+noa29Rt7o 7LWeYbBiQ45J/GrdzcvEjWUKiONDtyOuKqyyyTSBn5cgIoHPSldQXJF6m0IOTU5r3SbR9NSAyXaO VDgpsY4HXrU8nD7Yzt55Oc1atrc+WqnaEVcc80hSBGZm2IB0ycV1xioqyOKcuaTZfg4hUDniopoV kgMTKCpBGMVVjvXdXW3jB7Ke31q3EdhSJn3MBz6mqIMi3L6bJ5EoPl8bXPSthGBPylSD71IYkkXa 6gim4SIfu0AxweKAIZrmO3UGVgM9K4q5nEt7NlsIxzn2rX8Qzq8kSRSAlAS341hTeXJCix53vkMT UtlIs2pJBjYFi5yp5ywHFXrK1K3LStuynyrx1FGmW8gCzyqfMHypkYAGMZrSKIpBBOT6DrQItnhB yHJ68d6jW2DANG33uWFQqsiy4f5EIzuPamPqMEUbpBvduhft+FMBrWpS4+SULuOcg4q4sMDJuklO /wBmrJRbq5IlzsBHAHQVXmd1leLduCkAkk+gP9aUmoq7CN5OyNG8vPs6+RbIxnfhcnOKs20brF5b BPLAwxx971rAXKyNIGYMe4Jq9JfSPb2lomQzj5z3IFRCopPQuUHFaly6u1isZ3iVtgG1Wb1PpVfQ YMEMy5J5Jpmq3cctotjAM9Nx/u1b0RSkJVhkqdpJ71p1INC/uWhjyDhApJwPSqtss95Yl5JAm45A Cj5fpT71wsMolVcEEDNVrG6cqYAqhUAJz70dQIHs1a4iPzMfu/N6etXbuCCC2iAHzhgFNVYGa5vz ISRGn3cdK1bqBZIlkOSsY3+5x0osBUSVTfyA/f284+v/ANetQBSAa52wdpLyeVieg47kVoNqUgOI 7d2UdyOtCYC0UU193ltsxvwduema9c8ceudwx1zV20kVMAZGckJ6Csd5LhGjQtCC/diRjAOf6frS l3lmdlEQYH5mRyD1/wAK5K6c2uU66DUE+Y27lNmW3kDHao7eWOYbYzkL14qK0kla38md98jJuV+x OORSWMy/PGdqtnIA6muVnYtUPuXdVZUUfLjqaZ5jS4cggAdBzU08JY7xnjqPUVSfemRG2B70gEuJ 7d4xHINwPbFUjOLVGIlDL/D3pLh3EjATDaB8zAdPYe9Mgghis5ri5UDyySM9fb6UhlyNXnRWWFCW AJJb/PNSSWHm31rPKc+TGck9+RiuUl1kxwRxWzMJN295B/IV3Ab7RaK0ZBZl+Un3FTGUZ3S6FNSj ZmPqKLHeZB++oJ+v+cVJbR7IjiMGQg7yx6D0/wAatnT442jJBaVRgux6D6U3UWEdgypwgwp980lT Sm5mkqzlTUOxGt0GjHkRZY/xnhfw9akFkZf3kyjb1JY1ZtiixxqiHOMbitQX7NJcQ2ucg/M/PatD AlWXzQEtgEj7vjk/SpVWKI4DDJ9+arXMqhEtrc4LcEjsKcMIwhhVWkA+YnnbQBcV88dKrGUF54z6 8flSl/Kxubcx61R1AmAx3MecE7XHcj1oAxdUsXVknyNu3aRnqR/9aqFlNFHqcEk6/u0JzxWnql2k tk1vHy+7dk9azdOtv7RmWByQAwyw9O9Sld6DbsjoiMsQIwWzksD973pyz/Y1DEAu5wvFTs0VsoeQ gZAVE74FZroZrgyyNtwCqoTyBVWJuKzNfSyFmcRDge9TrafJiKF2UckHipI38sBlVCQP4jgCpXv5 mjVIu/3pGGB+FIYsdms8ZDFkY9AvGKwb9ktrqfzH4VgCT9BWzFLdmRUWcNk4OBXLeJEiTWJVicse C47KcdB+FY4h+5c2or3hDqkQJwjEetSW83m3ySRMXKYGB6YxTYdGhu7cSwXJ59V6exrUs4EtCI0x +7QA8dT61z4epeXKbVo6XJbaBZWcRg7i21j6Ctu3VLVAhJbHA5rKtI2iWV2QlHbIx9KfvlfGMqCe 3au5HIT3dxHJOu4HAbAX14qi583Unxkbl2sF9KsrBJJLlTsUDknGTU8cS2rZXaSepI5NAFm0tkii AUAL6VYmbMbIpxxj8agSWSQZT7o/2abqCStHG6ZIH3gtMRi6aPK1SaHIOQeT356VsYjwMhs/7wrH t1Vb8tnMrp8q4xzmtH7RcLx9ikP0AxSQySiiivXPHGPEkhBdA2OmRSpGiZ2qBnrinUUrILvYmhk2 gDujBh+fNOmRLW6M7MAmc5I7H0qlJI0ali0SgcEsCeuePyFTwbrspF5kEghXJADbgMH+v6V59a3O 7Ho0G+RJl6KdLgExtkDqar3EGWGeg71LbBYj5eFDHn5e9TEbjzWRsZaWRkkTp5aEn3zUOp2wnsyr fMiHcy9iK2kXYSBjb2qu0ayb0I4IIIpON1YqMuV3OKi0K4bH2Zi7Bsk7OBgflnmp7fVr3Sn2XAZ0 z98Dj8R611cUC2YVY87Dyc881W1SGzeMyycMwwcYO76iub2Dirxep0+2jOVmtCO11ez1DI37WHfP H/6vrVi6iluESN8BN4dyO4HI5/KuWSx/0iOW0/dlX+YjoVrTs/EMS3JtCS0YOwE9/oaIYlX5Zk1K DWsToYmVV3EABR1JrEjuPtWoXku44G1UI9BmpJFnnQpFKxiPQgdqlNtaRWIiQn5T8/qfXNdRzhbt 5rGODJ9Zv8K0oo47dNqDryfU1RhuhIfItIjk8FmGBWgBHGoX+PvjvQhEUSLudsclupqnqjpEU8w4 Rhj2zV2Nt0W49znFc54knYSRRk/LgnFD2GjN1Nl+0LLb5wBtOe9amjRg3kdxAuEKnzOOBxVHT7G4 1Bdq/dHU44FdFHbJa2K20R+X+Jv7xpR7g9dAkSFA5IBlbjOc4qtPHG8aJEreb6he9XBp2WMnmEBj nGM1LHALcCTcWPY0xGattIBluHXqJVwPzq5DE4O6SKIqR13A1YupIgMSHdkdDWPNex204hgU7lGW J5x7ClsM0JWWKzm2bY5Np25POe1cVDYi7n3y3AUu53ZHJPselXpLqS8nUliEJOapX6jz1tITliwJ A6Z7fzrDEJOGptRupaHQWtrHaQCKPJAOcnqaZBG9xcYUEhm5+me9TKCkIBJJVcZPetOGFoAN8RKg AZHaubAr3nI0xT0USQPEIxH93tUTxZB2hcfWpwsalizDH1qnPdEtiJcsv8PqK9E5CJWL3ojXO5UJ YHjitO3QlcOOR0rCubho7uG4EbKSdjA1pG/Vt0SEhx29qSGaeVAwTyKrNOyTHI42/dFZ+n3T3YlM j9HwB9KuXToFUk4YHOe1O4jHvQ090hi+WTzFwR25rcEjoNp6/Ss+OaNZ49uGLOcnHStfeWAIwMik hmdRRRXrnjhRRRQBBmXcW2TqAfuq64PHWkQSQTCRRMGAB3M646//AFv1qxRWDoJ7s2jWa2RdZo3R LiFvkJycfqKZbXsdxG8n3VU4yeM1FpkkdzDLESQWY/Kwx04yP5UklhbzXAVxgrxtA9O1cL30PRWq Lbykxgp82emKSMhev3jzT4o44xtRcD0oeLJBz0PFAFe7mkWMtFGzEdh1NZBtLq8uh56bBjq3QD6V 0A4OKhkTzi0fQYw3uKiUebcuE+TVbnMTFYpmSGQMAcEjjIx/j/KoNQ0f935nl+W4AIYDgn0NC2pt NVntjmQgcHuc4x/Ounlhkn01Vk5kZAGB9fWuWNFNyTOuVayi+5yr2+pW1q99DdgqxOVHUc44q/oG pXOoebBcODJHhg2ME+xxWpe2X2fSwkC4Knd9TVO3m2SCaNRuxhgeDTb9hKPbqZfxYvuW/wC0oLJZ HOSw9B+lPtpJbvJaF4i4wDnJFVV1TSp7hYJQgmLYAHTP16VoxwSQOHWUvH6EdM11RakrpnO01oyQ sltbnngfKM1yuvf6RL5gBGflQeta+oX0cUw3ozlfuxj19arW1jPcXf2y8QqqjKI3c/T0oeugbGnY RslhAiARqYxx3zSSMRLhpguP0p+JWOQNoxgAelL9mC8sCw7jd3piIF8+cYjkk2k9ckChh9lhYyXI Z0HC5qZ7xYICwP3QfoKxYtk9ibhyXYt0zySTSbsNK5tQRRyQJMw+dxnJrmZrsC9utuFBc5Y9gK07 rVhbPbW8BGXXJLdvQVzUED32otEc7AxaQ+vNZ1KihG7LhBydia3t4dQaa3jkIVCHVgOCPQ1o6fpa WZLvtkkz8rY6CrqRRxklEVS3UgYzUAtL64BcXEaKeihuleTOc6jfKrnoQhGKs3YtDBljU93HHqBy f5VoTXzjKqnX0NYkFjNa3KzTSKxCnGHyf1q1bwPeMZZCFiUnahb731rvwcZRp6qzZyYq3PZO5L5T T8mTv1Xt+NNnvLaySIIvmys20MT+dNnuVQNG7AgceXEOv1NMtdPeW5W7uU2RqBsUdvaus5xJbq5v WJ+zoI14G7t71oxwqIlYqC+zAYDpRuUyABQFBzx0ApYJhOrPGx8j+fvQBlWjnThIlwjcP97sfetu OWG7HlFRkrnkVl6+u+zjlXJ8uTp/jU+myhzGQcgr26ULsDIZP3WpKPuxqcH6kYrTikjKfP1FZurK WMkmAuD371ZVI5UVw5wRxg0AOooor1zxwooooAKKKKAALsXzIm2SKeOMg561Y843Fv523ZKpw/oD 2P41XqxZFfNkR8bXUZzXJXpJLmR2UKrb5WS2fmCItK2WJ64xUryFRnHFVZJ3hk8iOBmIOPYVbCZX Lda5TrI423IWbqeKZFJmRlBGcU+VdsXHUVRtxJbWg2gNMc8n+VIBkemH+1pLt2y+Qdp78etXmSVj kEfQ0yOeSeBJUXD7eQexrOa71KB8yhiB1+QFT+VZTqKnrZu/bU0jF1NL7GoZlK4nUocc56VSuLS2 mQoDy3QocHn3p0OsI/Ey7Ae45H40jywpMGJTYRlWU04VKdVe67ilCUHqrHEtapZaqYZ2BRScMe/o a9CglD2qyIdykVzHiqBHhjuFHz9yPTpV3wrJK9mFdvlwT+uB/n2rKn+7qci2ZpP34c3Yt20AlvLi +lUEqxSNSOmOM/WrYWVnEsrBVHRc5/OpZI1hiZIx94nr3qrcC2ggElySSO2f0rpMC3GyzoWXG3Py 4Nc14l1doCtpaylJOsjKcFfQVG2sT3DTQaZF5ZP3nJ4X6e9ZjaDcsVYyoWblySeD/WuSviEvdT1O mlRb95mjb3L3GmQxyMcEZlkb68fpVeLUIHMdlbROX3fNJu4IBz0/CmLpIijLX10xhTkKGOKfBf2V vCBBCQgzhmIBNYVMYlGyNaeGbkV4rK8vrkTOvlRq38Wc49q17OyiskZYyxLHJZupqLN3dRhlKwof zNVZdPuLeOSdb6TKgsF5OfbrXK6kqjszZQUFobFIVU9QKpadqC3kIDECYfeX+tXqzaaZW46C1Ds8 xwFGFAx3/wAmp2jkSEMmNvIx3p1nDJLBnJVCSQcdeatnYiYyGfoBXt0Y2ppHm1HebZmwlWH7pAsm fmLLn86f5d2r71OUb7wzxV2UGC3kldsqq59M+1c/cXU15eLFC6/OnUdEFaEEmo3vC2doQXkOHcfy qdI5tqwAKiLwAoyxx61Ha2sFryA0kmeX9K0FeG2QzS/LgZyfWgBL3y7fTneUFlC4K+prK0SR43Mj A+WSCtSveJfwt5zkR84QDv2FJo832YfZ5V5zgfQ0dQLWpSIysc7s8Y9KfYOy2ceOQRkZFV7obJnR s+WQWz9Owq9ayKtrGFAxtGKAFooor1zxwooooAKKKKACmuuRnuPenUUmk1Zji3F3Roki4gWaNipx g0IQqgZLH1NQWMgVnjYfIQTn0qSOSJ3byySV9QR/OvNlHlbR6kJc0Ux8+TEccZqMxfuwoXt1p82G j6+9AYlMjkkdKkoz5prndsiwiLkEnkk1HHbTMfmd2HU5brVqS2cLlWw+cmnRh2IDOcDrnvSGQXdv bmESSKFx/EOCPbjrWVeLZrbgRylmZwX3cDFaerrLtjCgmI8tgZ57Vy4iMEzh7YTq3IJ6iuarZSbS 17nVSjeKd+uxJqF41xZC0jBkZQPmXkbc9Sa0vDt7DA6WbN8xQAN2J5JFVLaykuw5kQxWyKWMcfB/ E9z3qtdwm1u4pYBhHw0eOmf8/wA6UE21OQppawR2V6ZY4TNEFLIp+8eB71z8sBuWD3EjMAOATV3X 9RW10YNGT5k+BGfQdf5Vxs13qF+PLUu/qqDAFLFVJJqMWLD01LVnQLe2UUogiYNI7YCoM5NXJ91v uEiEMBn1/lXHxaRfl1fYUIOQxPI/Ku7glgnO4I7zAAMH4HTrXPToQnfmep0VJOFlHUwtfvYYYG0+ OGTzGCs8zHAPfAHpTdE8Pw3Vq1xfFkVuIxnGR610k0qS8Sx2529Cw3Yp3lrgmQ7zjq3+FdThBSu9 V0RhHnatsUYfD32IH7NO7hx0kbp9MCke2mtkVj/rMkZA3Z/PpWrEW8hCUB9CTjjsfyqCRzJdoA6Z XnrwvvV+wp3ukZe1mtLnPzeG5omE8bmGQtldpzz6Y/8Ar0w3N9EzITC5XjJBBP8ASt++uUitnaW5 V+OFGMVhw2bb0Z2/eMQdvYd8H8KznRpXVy41ZtaGxbOXtows0yoAAAVHIH8qmZ2j2xwoodurNyR9 aoGNy2Hlk5PQYUVdtoEVCxdckc5bJrpMCp4idoNJCh2ZnbBYmoNJt4o7KNydrP8AePtVbXbk3EiW 6n5I2JZver+nIfsyJsLs3IHtR5i8jSmSNYS8eBxwcZ7VgatI39m2Sg48wZP5f/XrR1KZ4Lf7MjKZ JMLwfu561Q12Ly7exbuMqB7cUMaL9tpim2gG3gLuOKW5iRfs4AIcSc1oWjZ0+Juh2imCCW4kTecR g5osBRulVmAbPzuQee1Os2kNsoH3VJUEdwDiluYmI8zbwH/SqkdxJEXVVcruJ+UcUAaNFFFeueOF FFFABRRRQAUUUUAOilEMhZgWVhtIA5FX4kjlj3Rn5mA2t/Ss6pIZ3gbGA0ZOSO4+lclai/iiddCs vhkPNtMzrGz4QH5iOCauCNVUAE8DHWohcQXTiPeVmxwp4LU+JmOQVxj1rltY7L3HY4GetV52Rclm AUVNuXJyeBVG5iS5mXgsqnkdqQEyr5v7/JCgYABpPLiuo2DKr9uRnBqpqN4baKK2tV/eyHj2HrUt lH9ntgWYs5ORnuaBlXTwEhmAwiZyR254NZl1dS2syWqqhhxlNy5Kn2rVeIrOyMcJPnaR29RTUVrS WRpRlFUBiewqJbFReu5W1CzbU9GhTbslQAxnqDx0/KuUguZ4AYYMrIzYJXkn0FdZpV417fXKpzbJ koT2z6frVK48KSJcNMLxEiLZViDuBJ6VhXpOpZxWprSqKF02Uvt9zY2bLcPuuH+4p6qPU1teHbOW 2snlnBEk7bsN1x2zWZe+H4pYmitpw11vBDSyfeGOf1q9pBvdPt3t7p1nKt8hV8hR3GTWCh7J+8dK anG6ZsE4jIlIWJMnJPXvzTbe6t72Jnt5VlQHaSpqpcytdQPA6Ksbja3OTisdpIdGgeC0Zt7nJXPf 3NX7dSlZak8qjG5vXk0VvFs3M0jDCR7icntx6VnQK7zSfbiUjRflRSOn4fSsyw3TPI0uXPByT39z WnF+7D5mGWP3VXiuqMetzlnPpYdNFbSuCECxryFLZyfWr8FinlJJKTvJyFzjb/8AXrPSMWzrgZMh 4bA6/SpnvnZNjbCPrjFTCjaXNJ3YpVNOVKxYuvItwc5bHp/jVCC6klmUQoASeSKa1q87gM21R0VT nNSyTDT7bCjazcL65rUgqagkcbeXHzub58djnNaRneGJRChL4A+XtVW5gjVIrdRumlIYn0Hf+tbs FtGy5dDj+EE9vpTW1hdbmVYWDM5kmw8znJYnO0VW1eYDUYYHi3BV+Uk9810xG1cKqqB6Vz2pKbnX EVU5RAP97JpbDNqxhMVqu52IYDAPamNOVnMUbAZXP05qzIrCNVHUcYrMFq816JFOABg46YpiLV0V EEnzAGuZe9mt3aMeYQDwV6Gr2q3GZwiHO9sDB6fWpzZ2ygKZMkDH3qT1HsW6KKK9c8cKKKKACiii gAooooAKKKKAInDZyvmEgjG11HPXP+fSrUDsd8p81dvUNIrbj06DmqnlPu3sIGfGM7MZp8LGzmM+ EKYwyqmCVrz6kJfFY7qdSK0uXbWNyrPMfvEkJ6Usku0ERoWPTC0k8TTuCjkQsAwZe4qaGGOJQFyf cmsTpM6KxeWczzDacYUenrUrARyL654UdfrVuaUqdqrubGQBUUcZjGWOZG5LUARyRsYgzqN2/Kj0 4rN1efZpJJ5YkBvxrVkUupVmO39TWFr22KxCsuSG9evvSY0N8MIyO4/hbp7Vc8Q6kmn+WJHJRhkR qBnPrSeHImWzaV+5wgHpTvEWgvq+x4nCSoMDceCKmak4WjuVBx5/e2OVn8RF0ZY4OvHzt0/CqsWs airDEp2nsVBFXf8AhF7iKQpcPGuDjIOcnGasf2BtHyvG3+8D/wDXrzpb2qPXzPQTil+7iUPt17Mp ZrhwucfLxmtnTNHaVGnuSBk7SCMn8DTLbR0jYNIwOOiqMCtuzMW4xztgDlAeh9a2oypuXIjnqqdu Ylit44YwkUSiMfwmhoIZPlEOc+hxTLi4SFgVz5bHCj+9U9nF+8Mkn3m5wT90eldpymRNbyR6vGmw hUXPHqauS6fO0bSLGG4+6epqbzXvLpgrqqRtgtjn6Zqxe3K2dup3sXY4QeposBnQFltQCmzyxyW7 CsjVb1bm7jCEMka9R0JrS1u6mTS/LlxumIAx2Fc/bwm5mSIZ57jsKTGbtp5l/dW86qAsaEHHX0xW +kbED5ipHaq1hZrboqo+3jO0VeUsW+nc1SJGqCT0+bvWVcIsOr+dISFKYVj071tEkNmoLqGO5heF xkMOPagCA3sUnyzKwI4471ItxAsICnBI6HsKyYoSYjaT7hPGfkb1Ht6iqyy4ldZ2JCAZYHp+FK47 EdskTa7OpLSoyl1IPQitXy1XkyDLcniora1t48jdjcM7m9K00sodvOD70WEVaKKK9c8gKKKKACii igAooooAKKKKACiiigCSznEEv2ZmxG/MZP8AC3cfSrXzRzEOfmPUYrPkjWRNrD6e1WLS5YkW9xje RiOU/wAX+yfevOq0nTfkd9GqpKz3LEfzXDMOijH40/G589MUkKlAVI288DGKaJALl4887Q1ZnQI4 GGZsnHpXM6tKkt84lyy4AVB/Ea6dmCw5PINc1ZwRpryBwHRt0iE/wn0qWNGxosElvYokqlTklQew 7VozSrHjPJI4UdTSfxiq9yGWdJAmRgDPpzVdBDJYY7rc7AhsYAxz+NUFs5SWw4ODjB7fnV8Tqsry vJub7oCDOKydVim1IwpDEURSSxIJb2OBWU6cJ/ErmkJyjomVrm7WGYwxu80wbaVQcfmRWvZwpG7z zN+7ReC+Bj1p2n6VHax7WUjI+Ynq59/b2rJ8UXLM8Wl2gwX5dV447A+1Z+zhTXPbY055T9y46Of+ 09Te4AH2eEYGDwKsXd65gdYEbLkIrEdc+lZeheSJ5bBCWIXez4yCw4OPzrZjjlin2PtZQNykr0rS E+ePMZTjyuxIDDpmnEyfeAyT/eNZu6e/lheUEBW38/4VNDMNV1Q7gTBD0X/a9f0rRmfymSKONfMP c9APWrJMHxJLmS2jySApYg/WpNEgRbUynlnPy8dqg8RRFLmKZsYZMDHqKsaPMDZRjoUJH65pdQNb TXM1vMAfnilYZ9RVzgLuViuOorJ0WQpfXkYb5C2cehreXy24wCapCBT8gLAZphaMsPlwc4pX5Xjt VdnX7YgLLgc/iKYD3t4g28H58EbickVy9+pSZ1YfvcFmP97B6/lXQ3lxFHAsqs3LYG3nJrldXlmk kEwUoxjIZT1VSe/61LGjoYwt7FC2/DbRggZ7VbWAoNrOwI9M1h6fMY7WGaEOseMH0PvWul7IUH7k t70CG0UUV655AUUUUAFFFFABRRRQAUUUUAFFFFABTXRZFKsOP5U6ik0pKzBNp3RbtLlpVaGQ7pkG Qf74/wAag8uSa4MpO0lQoA6471WkUq6TJw6HOa0Eu4ZU3g7ZON64/WvMqR5J8rPSpVFKN2SK0WBE CMrxisrULOGadNi7W7svGO9OkbOolo5ABIMcdQRUyEyy5IOAeMjrUXuaoiaSe0kSKSUvHINqMeqt WpC26JTz071m3S+dfW0eOEBkP4cCr9uc26E9xmrWwupHOQD5USY55I4AJqSFY4WMa4zgEnuagvbd mIZZmUP1A/xpba3SyDO7ZyMlj2AqRjNavzp2myTpgyZCoD3JNcWJrlrmRI1Mt/P/AKxv7nsK19Yu 5NSKtCjmGEl04++2MDH4mo9JsLiCB5UwHfh5DyfoK5aqdWpy9EdEGoQ5upNpmnrpYxKd07/eIXOB 6c0Xt0bi5SGDcV2k49TmpzgHZOzjjoBzUiyi1xNDF04J+8cVukkrIxbbd2OtLWSygKxDdIx3O2eh NWVt1jBknky2MkZ7fWoRqIKblfahPOV6U2JoLi4YlWkjU8yHoT6CqEUPEEomgiYRjaHKq3YcVW0e NvNlVmIVlHI7GrGuiOSWOFGwignaDnBrRsYES0Q4xjGc9zRbqK/QS3igtJB8xIJyxwea0JruMWxa NgB/ex0rL1DUFhKxRgGRug9B61VhglmUmVicnOM9PwoGXDfGXAVpXPcAbRRIWW9sV2qpyWchs8U5 Wis4/MlQAdEX+8aTToHuZmu58BpBtVR/CB1/WgDRkCy2jLtBBUnA9a49pGa21QS/61lUgewI/wD1 110h2oyohlJ4IBxisXUNPeEreSqDk7ZFXsh4P86GCLmnxo+gQBPmBiOCP72c/wCNRLfYRVaF8gYP OKp2hm02SazEuYwvmRE9DTZLyHed8RVu4BouBt0UUV6544UUUUAFFFFABRRRQAUUUUAFFFFABRRR QAjDKkZIyOo7VEoaGYyx7g4x83HzD3oornr04zV2aU5OL0LccSOYrhWZ1OA27GVNWCf3mwDJ60UV wR2PSWwzyGM6ykAY4AHvVqiiqGVLqXEmzDM2MKqrk/WqM8FxcIyXEvkQNwQTlmoopDJ5LYXCIsds NqrtVt+0gfhTora4giKEKy9iD39TRRS5Ve4XexGsU5lJwSPYCn32pR6fafPgzEZEY4oopvQDnJ7m W8HlM21Hbc20dTWj5s4t4re3jAjAwWZcZoopIHoRw2QWUsQCxPV8gVo7GEbZAIRSxVT1oop3uJKx iaWEunlupSTJuIHtV57+3b5LeFpJBwD0H1NFFSMjuzJJPp8bEGVn7DoK6FoERF2nZtGBiiiqQMhW 5R3VVG5yOD9O9NeXLOsifu+hJNFFAihFBMtsoinWSKNcx5XnHpmqhSCQK00gikI5Xb0ooqRn/9k=