20120817 11574800 FALSE geodata.SAGIS.Landschaftsschutzgebiete 002 Projected GCS_MGI MGI_Austria_GK_M31 <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/10.0'><WKT>PROJCS[&quot;MGI_Austria_GK_M31&quot;,GEOGCS[&quot;GCS_MGI&quot;,DATUM[&quot;D_MGI&quot;,SPHEROID[&quot;Bessel_1841&quot;,6377397.155,299.1528128]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,450000.0],PARAMETER[&quot;False_Northing&quot;,-5000000.0],PARAMETER[&quot;Central_Meridian&quot;,13.33333333333333],PARAMETER[&quot;Scale_Factor&quot;,1.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,31258]]</WKT><XOrigin>-5172500</XOrigin><YOrigin>-15001000</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>31258</WKID></ProjectedCoordinateSystem> 20120313 09083100 20120313 09083100 1.0 withheld 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. vektor.WORK.natur_landschaftsschutz_temp vector digital data ESRI ArcCatalog 9.3.1.3000 de REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. 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. REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Feature Class withheld Local Area Network 002 Feature Class Feature Class Dataset copied. withheld 20071109 08504700 Dataset kopiert. withheld 20071109 09435400 Dataset copied. withheld 20080819 23000300 Dataset copied. withheld 20101102 14571100 Dataset copied. withheld 20111214 11112700 ESRI ArcGIS 10.0.2.3200 geodata.SAGIS.Landschaftsschutzgebiete 002 protected landscape Salzburg Exercise5 UNIGIS u105518 Exercise 5 Lesson 7 Protected Landscape by u105518 de 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. 20101102 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data Vector Simple 4 FALSE 0 TRUE FALSE GCS_MGI MGI_Austria_GK_M31 coordinate pair meters 0.000125 0.000125 D_MGI Bessel_1841 6377397.155000 299.152813 Explicit elevation coordinate included with horizontal coordinates 1.000000 MGI_Austria_GK_M31 EPSG 7.4.1 0 0 geodata.SAGIS.Landschaftsschutzgebiete Feature Class 0 OBJECTID_1 OBJECTID_1 OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID Double 8 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. NUMMER NUMMER Integer 4 10 0 NAME NAME String 40 0 0 NOKEY NOKEY String 8 0 0 Link Link String 150 0 0 SHAPE Shape Geometry 4 0 0 Feature geometry. ESRI Coordinates defining the features. Shape.area Shape.area Double 0 0 0 Shape.len Shape.len Double 0 0 0 20120313 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1q5g1 maCRYp4Fcg7fyOO30okg1kQqsU8AZSMkjqN30/u4rUBwuQc56YphyQecepNZOb2EVrJbtYm+2yI7 Z4Kf5+lXVJU/1qHI7sPqafuyPlG79BSV9wGyHa5OcfWmbgT94E+1TIfmy2M44pWJB71t7Zx6GTpJ 7siDeUjO0bsoGTheaisryO7cqgZWADFSPu57Vcjk+baRUOELs2xSWP8AdqZT5tWWoqOiJ2AHSkAO eRUflqewFIUjAA2An6VGhQp4Zhg4Jzmm554zTRsywXgjrjj+VA25+ZAfc85/Ok0hbj3JK8449fSh Oc7QQPWmM0agZCqPpioZbqCPIIyfTr/OlzJdRlwEjgrz2IppL9wPwNVoJ97YClRjOKtliBkYx607 3VwEDjjOR9RTi38XBFMWZSOOtUtTZjAtvbZE0p25HYGnHVjRn/bxaajKyqxgfHAHU+oP6VftdQjM /kyI8bsT98jOfSnWlt9lgKEgqDwq8CqsmpRw3MflrG6sDwq/MTnFatJ9BuxqZOMs21evpUDxwTuk m9v3ZyCrcZqjdXF29vvNqA+AVRs4zzkn8h+dSfarj7PHstQzsoJAPANZ2dyS4jBEjjVmKBcYPU1L sPVcfQ81Vt7mWcypJHs2MADnJPX/AAH51JJMI4y6ZcgE7V4Jx2obtoLUbdxkRfPECCQOtTRIqKFP yr6YPNUU1GSZD5kQK56K3I+o9aWO8ZS5Ql4hzubjaO4qpRcd0VZpF6VDnJxz+Rqq8dyWAXhPpkmn x3ayrgcLmlmuDGpw6YA6E4qpwUo3S1MlJqVmTCL92Nxwc0xlVQMbc+prMbU5W+VWjA9etTW6yTSe bIwZexU8GsYxlJ2sW3ZXZfOXzgjNRfZCWyZnYj8qlVgmWJAUDrVJtXiDkKjY9fWtMR8SRnS1Vydk ZAZHn+QdiOKQyMADDC3+8VqKMpOA8m4sTnDHAWp5ZQ7K8LhgpAIBrHkNbER3B/MlgBI6EHpUpu1b CqGIPHyrx+dV/tLEEOgXOcAZJ9qcvmNONv3BwSnTt3/H9KqMWmFieXlMbS2TjAGaiaW9BASNduP4 iAafPcNbhkSJmbHUDimQzkx7pQd5OTxVVZc0iKatEuMY3fAXmnFUTkqvHtUcAATO3b7HrUdxcxRM iOw3Pwqmou2WPln2qCFypOKlmIjUEAnPoKzjI0jLCjAgt8x7fhVqa6jiABYMfQUrgI7yb1RRweuR UgmVXVDnnoM81SS73zBihB56HI+tR2z+dc5RWKjJLMaV7MDV35wvIz1PtTHlCZPAFNZgVYkgYPJ9 qqSyRugXYxJPJI6VUm9hEv2l5MuOI84Xjr70rSgsUDkY6460ySRlCeWcLjgYqvkSOUZMseMocH8a hgXLd98ZPTnv1pBcRncM/dODmnpAEgVAdnv1qP7J+7CuQ2Tkk8Gqae4Ic0KTBWwT3XNVy7vMUERw D94rVvz0iCrtxg5H0ps16qBNw5YbsegolFDGFnjDbIefYipUdvL+YAeo9DVE6mnKtET9DTY79FOF hfcew5pLQCxdyGCMyMwUAen6UlmQkDXUzq0jDOc4Cj0+tRX11Clmw2ZlKkqm0sSfpVDT4U8go8ZO DkF16g/WuujS5ti4xNLUdQi06MYHmOQMLnrk4rKgVbJ1u0cMsknzLnJUHnnPTGf0qCe1827W6iR2 SNwrKT2Hp+NWPKFvDtlVJXmLOHA65/l1rT2aWjY+U3WnjntPOIypHAxyarqjjYEgAAGXP9BS2HFj ErAtsyvIz04p1xcYhlZTyn61wzXvWM2PSdEj5Ta2cEAc0nlO7K6SEJ/ECOaoWgJmDSElwvzntuPb 8BU80sihDEQp3bSTzirdP3uXqFnexXujI90oWNkXONwGTj3q2LVFi8pSQuCCrd//AK9Ptbtp8Bk5 GQxxxkHFJ5nmGTIBCnAyPzNTKUl7vYG+hQuE+yQsYwjHPCsSc/8A16LaGN4EdkyzDcSw5/WrV0y5 iKn5lySg64NNBDAEHIPeu3CpNOXU0h3I2YB9kapv6nPAA96h2mNSsxaOJ23YyCp/HrTlliCzOyFg 74BHtx/SrA2T2/7sYI4yfSs6mJanbohSlqMslinEsIy1upDLg4GTnI9x3/GrItowN4jUkZwvXNLF 8oEca4VeWbHWoI7gXMjsWZY14x2xXNKXO2yG7iSxPI53zBTjJAHAFRStFAEWOU7l5wF7Hrn9KvO6 hFULvHXjBxUMkJkBSJOZOWc9h6VKuBUtoXuJ2JOC3b0zWkJreyURlgMfw4p6IlnCSR0GS1VredpY 3mkTKj7uBk072AS41Rdu2JSznv0Ap6MXRWkXLEc4NCXKlSzRMD0A2cmri8qCepHNSIqC6AVmkBBX OBVKSPehM3M83IHdVHSpbe2DEgh2kzl2I6+1R3aH+0WEjeWrKNrH0Gc1rGy2LWmxYs4nLea7MFAw BT5hax7SYUJPrxUL3bCJFtlO3HBJxULC5V1LRbxtyeeR+dTyPqKxPCi3EjbUSNAMEqfWrXlx2ykq Ai9Pc/WqS3nlnbFC2WwQP8abNezH5mSIoDgA5zTUGvUXK2aPmI6dFfv071WkWRly6NEo5yp/pT0u CGCDAPXAGMUxlb7xlXeTxnJAqHqrgM+zm52bS4UDGT2AqR51tU8uFGds8k0kTXJR1iww7P61JBbu gAmlJY9AKFEBI5rhpA0ihFA4BPWo/tF3IzMFUjnHtT1bFwxJBwDnJ/IULcW4BPnKxX0PenZ20BXG xrcFd88wCDoBxTRaoZfNdmlLdAaSOVJZNrSZUDONuB/9enecZXVIkZlJyznjP0pW6MAWIOS/loVP AY/0FWYEjUHYgI6kj196qTGWSZYFQhe5HpVzzNi+UVCjOOOciqWgGPL5i6zI1wEEZXKMf6VbV0cZ VgR7Gnvd29wfLEZfcc8jpTprOzjjeSWIPjsoxXXTxCirNGinYqPdKsmxFLkDLbe1Nt4Uv2VHlYJE 7fLyDg8j8qS3RJJfkURrn8hVzygf38YwYiV6/eFTKvzuwnK47SmIt5ULlkDttY9TilW1F0QXdgoO 4EcHNPtZY5rdQi7WJOVA596tAbYwsajaeKxlvzEPcrJZRg7cvtIyBn86hkgjY+UEYpnLjPXHQVcl IVkYkrt4A9TUbbADIz7QDk5NZsCv8qKildoHRR3/AAp9uGCO7bgG4A9Kbb+WW81dzDk5IwAKFkdb SSTcV6sOOtLcWxIYI+fKQEtjLNyarz2pkLray+W5Gemc/wCB96VI3a3866mZVxnaOKfbBI41lyVL 8KHOeKcZuLuh3sZn2kW7Mqh0bPKuMq3v7VftyrRpM9l97njn8cU6S8gJcbUl44I5yas27uLcSSZB PO30rWdVT3Wo27kMwW4G2MmFjwdyn9Krz2M8VsqwsZD5ilvl/hq4kiyy+bI2PKJGM8Chr+AkhZhg etQ7IDNkiviyhINwKKWYnIByM8fifyq4JrmMeX5akFnGR2Xccf8AjuKtwOjwlx0PrVWaJi4aKQ7f 93OKG0tkIgSe7mZI7tY1iXd5hx7jaKtC6iALggRj5VVRyagNlIFbzZcqfvHHOKQTRiMLFES+SEXu B60b6sZbaZN8edzAc4UHrS/aI4/lKse+cU8D7NDvdvlVfmXHU1VS3vLlfNRliQ/dQ9hTsgFt7qaa BPlBlHyv9RQ8YlfM8ayADOO1SwAQ6s6r0lj349xVtwu7OBSkraoHoZot5ypcBI8nPzdcUxojGWWR 2kfH3VzgVo7YvMLMNzdcnnFDTr5yxqpbPUjtUiKcFmHcOYQgA4BbNTXFssqeXtVe9Wd6+YUPUc1B MwkikyM7TgZqk7B5kFoY5UdJE2yxsVb3p8yTAHyggyMZ6Gq3ltJCXhYK6ngr3+tLLqDLGqBMynrn oKbXNsPfVFsFkRVDKOOTVBmluN7yPIqg4UJ1PvT5xciHJSIu/wAu4ds0/wAueGJQGGR8oBzR8Oob EC2okYEyMgHQHvTJGtkXyzDuIPU9TVqOzXePNG+RjzzwBSMLeM/MiEk8AVLm+4uZlVLeSUGfIjVR xz296sWEdxNI7O2I9uAUq00TSRoH+SIjkDqfb2quJWsVMcYMkWeo6qKtO6t1KvcsTstrECmWI4zn mklk/wBEkkT7zDAwO5qtIwdUdJP3YOTjpinqvmhSkv7hDuBPJqdGiRbe32FS+OOMHrTriNI4pD1P b3piyrCDO4LFj8g6mpoZVkctnI64pLXQRAoTy2Z8bhx8vrU8bbLdVCHbjsOpp626SSEmMKoOfrUp yowmB9aWwyhbOscbJsKtE2CPY1oQndGcHoc/hWU8iPqjImCSn7wZ4z2rTtCAu0kdMVpuxvcZLBMW LhsjsKzXtpmG0rsXduYmtr7rFDwOuSagluEIO1S2OMis2hEMVsiIpd2KL2HemRhpZFLSMUYbwGHH HSqdxezeesUarGmdvB65qzNN5ISKPazKNg5yfyppWQ7DpWaRlLDfF1Cjuaq38b/aoJGi/dr8pLHs fargt7jzY5H8sKg4GelRTnMMvmXHmyHpGvrVRklJMOpBAyR6qEYYRk3AY/i5/oKmuJ2uSUXIGflH rUUIknuOAU8oDJIwcntVnz1W8cRrvkP8Q7VrVs6jcSnvoVHt3JCTMQq/dULUjWSFFGwqueWNacKB Y1bduJGSxNVVkN1OOcop4A7+9c7XchknmLBGiBGxxg44pWZn+XO1e/qac0QJJKltvQ1BPEzqRwPX B60NO4hlw5MwXzCB/dFSTXEFsFO0Fh0A7VGtt5eyTJL4qaO3jli3TgOQfpinLcZBCJ7woSpWLduJ Y8tVuS9jhbYBnHcmqtzeExBLRCCONwHAFU1064kXc+Nx/vE5qo67A5JblsPNE8Ul1t3IPlVASaJd Rm3/ACwlR33DmmPfahlFitQxL4ds/KBznH5D86SS4vgWaS0BTOQCcfwr/Ut+VDUpD3JFmmmEhjjb c3ylm6LUhY28PkQtGHH3ndgOaSzeeaImVTbjPyDgjvUZtLXKtHulJYg5z+NLlAs2aMFfdIskhIye 2Kr3ILjywCELEkjvTVEkO9EjKqw6g98Z/wDrVLJM0THdGNi8IWo5WgG2v7iNy67Fxnb3qDzjPeDK HYhxgDP51btY5JS0kzKwbtjpU6rGmRFGAM/e96QkVnmMS7nAODlfQYoTUIpRmQbdpzgc5qRHMpGV UjJ68k1PJGhATywc9qaatYLkDvE9uzpIxAHQcGq9rboZ9yhhj+8c06+hijCooIyecfyxUsAWJdsf DgZII6UWV0DJlwCV3sxHr0qtc3bW8ZQR4ZuA5HFLLcmGLa5Uz5yAo61Qv3knuIo5dqlhhfaiG40Q KJZdsSkEFiWwa1FEcEW0j5cYOaiihhtIztIBP8THrWTNfXrS+T9nV33Z4PH5VneT1JbbNhxHK20O 2F6jHSrcZt4hGBt+Y4X61jQ3F3FbKz2w3Hl/m7moVv75XdTajzTjaB15ppyuFzpn4VuSPesya4uI IZHYgjoD3Huagt7y+O8Sw5wAB83B9aNkk0zox2ggbQelXFXkOOo5LKFMs8wTcRnjqT3qe0uYRLLC jcRcMzn1rOlnmj+9bglWIUn16Vbs2hMTeZDhAPv/AMP0FXy2fMNoZc3bySMwYoqjCDP3yD1x3FXG viqxhY8k4GOnNWouVARcAZz6VHIoIw+S/UEcEClUknZJA2U5X8xQGVVkz3/pT1hnjbckKBuzkc1P HEttDmIFs8nPWmNPJMzxwvtYqCCf1rJbiIWtriRsM5lfsOgFSpELJR8nzEcuRxVqFJViVXfMmOWA 4prW/mbhLIxz0A7VTQFJ5Ekl2Q8SOAeOTQkYsbdyx/ePwCB0q5Dbw2pyg+Y/xMcmq88rTxh8gBX4 z+VCfVgQJdSRwgEBMDAwM8U5L6fpBAXVRgkrWh5aqiDarNxkkUksscSHzMgZ6AdaSuBXtr9S5Q5B PBBFWJ8CFyDgEHNUpruVowsaFCxA3VNczpBb+WQXdh0xnitVrG76E7SKaXkspSFYg5GOa01VkjAE ZXA9azrScw27uq4JOeV61dLvIquwGw843fzqbW1RWpKPIQoBgdufWkdyHI89F9jiqhkExEe4hy2Q AKfLaq8hZic0neWwtENY7B5UMnlgcDLZNVpLaZyN8jSccVcNoJ9p27T39qseUiKFySOlTawzKljk kkVASsaDCj1pJIXQRiNtoC/NhuSTWr5ce/BCnjuKZKkCsAdm7r0p69wuU4zKVQeUr7e5birSNPM+ XiVUHQA55qYIAAF6dcVYwEHOM/yppdWG5EVChQMY6HNMAAR1BXbzSXEYkQnLED07GqquttEDtJc8 szUr9wFgnVrpUjHyqpJwKHuZJLgRWygFeXc9AKZaXEZm3KsjOePu1bnhUsVRMFxyc0LQZUjvIlLt LuY84fr+VMN8zKEto9q93apJbeOONd4wqjp3anWtqkp8zaVj7KD973qm76gRTT+UVQAISmWlJ5A9 qrSBWk8vYzKT80hbkN2q9exJdymJ4N6rj5jwBVeRIo7sIF2gLxnuf610UJL4UtSovoU7tJptkE2A gOVde+BRp+lQJIk4ldpASygntV+FGuLglFRxETwx6tj/AOvRJa3EEBmSPa6tnanOR3qasI81ohJK 9jJm0wRhGQzIxbYAzdOMZpbXSEa4cNeyOy4O5e341dYretGdr7R1YnFWIgi+Z5a4jUbcYrmTtLUy ktLFNdMjXdtnkIBz97gGrtvatcEzSSYTooQ9KjRZAQpXKk5yOMVNZr5U80akA7QxB6flVU3e/cqJ P9kV3VpeUXgKxzk+pqDUpoRF5YwXB4UdBVt5TtjU7RufgHrisy7kjlvSy42jjNDGOW9uYpSVCNCH C9cHoAfrzmtZtu7eo3MRjFYizRwXhWUZUsxXPTkkg/lWzE0boZRJuUD1wK1mo6WGwfCleOWbtUZi RJM4+YsDgHnFKt1bM5lDFmA4QdqoDVLZpZWlZlYcY/wrNpCsahfb1IFVo5VleRRIz+47VlT6wk02 Ei3p0wOatxSosGyKIpIX4Hc1LVhWJ5rMOY90pwhyvr7/AMqit4xLMWLjy92R7mrxVTwV5HNVEdYg 4wxjz3HAprVWGjQOwYJ5zVO7T7UVAYqg7beTSoSjxhNzhj0z90ev0q2dkZI546E01ECkLRLeMvgs QcgE8D3qfbvjPHzYHBpzHzVBKYJHfsKcyFl+Q84xzRdpWRLim7sTaiRE7cADmobaIv5kkm3BPyqO wqzJv8po8DOOPSoLUDzJyDhA2Bk9SOpp20KS0FfYg/dqBJ2HrTkU7fmOT60iSI0nDA56in74z0Gf xqGhDDv28YHpmopZRECDIpfsDwBVOe4eNkSJmd89D0pw064mIeV1Uk5INKwWJIH+YvLcKwHpS28S GVnGT82ck9aU6YmOXXNPtraWOTezL5fYDrTV9xMsJ159MimzyoqDdIFH86UkByR2GDk1AwuXkKhY 9o/iPamMRJmKxhOWdj+XrVrA3BWOWqvLKlnD5nEjt/dplsZ3JnmARMYC96VrBYsSSNF9yMke1Vgz Tzu23YQmAQeankmVAfnGAe5pdzf8s1QMeuaQFSG0DsXkdjnjnripEuIba42IwCDO70B9qRYVnyzb klViCV5zUEtoYxknfjnOO9XdRGWZp0jCxpKgZuWcnNRyvbmECWUTk8bQM1RjterSAjJ6kVNHYyM2 YwQOzEcVN7sCB4hEfMtgyBWO/JOTnvmpYZruFkDS+YkhC/7uelXoLMwptL7nPU+9VWhET5+TzQ3y oDgZ+netYyja0luCaLFzpyOBJCxWTup5BP0qtI88EJjeLDk7Tzkc981KL64hieQxqC5O3ccYFW0m EscS3ARWPzHkEMB/kUaPcfqZhuVSKQqCXztA96robh5mMJ2FRhnyefatCT7HLLujVvnOThTg/So7 eyuGWQshhj5ZQuM/TB/GqgoJ67DViibSYRu7v8wB2hO/51Yg06WQKz7WQ/xBqsT2s8SK0Rd2GC+8 gDHf0qujM1ysayGEsDlD3p1IwlG8NLA7NaE92I/vqMqgCPnoR/8AWz+tVDZEA+XMQMYAIBAFaKKB uWR1PGCB0AoSxgPTzB7BiKVOrHltNXEpK2pnR280assdyvJ+b5KWSIQQs4AdywO51HGcAmrUsCW+ 8wkrj5mQ9D+PrVZh9qhLyNtCt8sa8lj6mtVVpKLcdGVzRsX4F+yq24l2c5wo4qdYz5WSdjnqVAzV K0t289XbIVB0J6mrk0riQRoRyCzEjoK423J3ZnuwWMiMGJiD6sc5qG6uZTbeWpVix2llHFRHzJwr mQgEjanT8qkkgWNVDPllBwo6D1NJO2wbBZR3Cw+YDyw43Nmp/t0Ow+YxjfBGFORTZ7h408mGNW47 noKpW0YmLGTiML8xPT8K0Ur7lIuo0IjBhHmu2QWP8Iq5AGZQzdOlZcjwwkNISEI+6nGajivo8+XG ZiDk5BxgegqroDTuMO/kAlSRuJ9qi8qKFfkG0jgYNUFu33+aFfC/KN5+Y0smo7uNgbjHTkGpkxFr yLh2YCTavpj+tKghjULIFLDqTUP2m6htQSiIuOC5qukbOgY8k9wuahsDYj2FtxUFx0OKgvJXJREz udsf40QONuVBC5wCe9KUmlcHdsUA/WlurCK15M/2kQx9O5zjmtFRtUKeiisuMYukJGSWGGP9K0pp /Jt3k6EcDjNUg6lQ3BVvNcBEbhQerVOhEqcjj0rN828nmLK4fjsuMD+lXrGJ442LHLtycnNJAMC2 /mjeql0HJ6BfapJJEjsnkZxk8g9eTSyYIUuFKFsEnsKp3EiNKTIo8iPgKG6/hVLUe4xLi6uGVViG zOdwHFWp5DA7YYl2AwAOmKqfbXkyWbbFnhQMVFG1xcMfKzyc57UrLcGWBFeOflmAUjnB71at4fJJ LSM7HuT0qs0MkREjKWZR0B70izyPHJ5r/u1GOOCTUtN6sW5biu/NmMacqv3mpbm+8iDdn5jwBVW0 uE/1cUO1F5JLfzqqVWSfzriUbR+X0pa7AaluZGiXeeWGSao3t3G06h45AUcjdGcnoTn/AMdrSjZX CFeUK8fSi4uUgj3bc47AVpdIEcvdRWk6CF2uSqtzxx8wH+NSobZ8sqzDAYDIz3P/AMQa6JpJDErJ ECSM7ScU2GMxs8srcn+EdFFPnC5z8It4bMvCJzLbAbFY/eII4/Sll+y3V9NdTm63BwF2dCMK2cf8 Cx9BWqshvpSI0YRrxk4ApL2wnmEUaXCRxBssMcn8aFMZBcatDcIifOkeSpB6tjiokh8+VJY4pDjg BuhqZdNS1lBdfO5zukO5v1/pTri8upHEcOEXoFUf1pOS6BcfJHKsJSOABSRk7smrkShovnGCoHSq PlzwoJbmdxjoinrV+3XMG5lxuHTOamL3EEtvHKhBHX1OajW2b51U7AcdOOKW5neFFWIKxJ5z6Uto 8jpJJKCgPABPai/cBFs9kSop4zkjPJqMW0sszyvLtUrgY64pt1f4iKRCTc3AbFSgzC1+UZbH480W vsAqWkSNuZixTgFj0pjyWgyHZee2TWULXUmZ8uQpbIBORUkOjz+ZvnlOCOaOWwrl2ee3Kny7nHH3 RUBaNoFjaVlDc7UGeKeYLe3OViaTHG7inwwF94VNpySGH6U1sUPht4LhGc7hz1emfYEO/ZIASMHb 1xUscM8cQVVQ+pY5pBZyOSJJsbs5C8UlcRV8iKJGTaWb/aanJbiSRTzwOcCtBbeKJOFHH4VKMbTt wPpRoBTksUlk3EuwHQHoKG0/zDu37fQelTtcKsauSOWwPc1IQSeDRddgKG8S3K7fMCKem3AFW5ZN sDlAztjAC9apyid71bVZMDGWq1dYNo/GQDg9qLagUrKLfI80gbKcANVqdmktBsIyWxjGeagWVbOC FQv3zknPSljkfyxbR/Kcks7cDHtVcrBLqNdpMG3t+QvMkhPGatQF47cYG9j1OaqyxXGFiRY/LHoa tC7igQR9WA6dhSt2GQ3Z3xLEHUSZ3lfWoJLe3tk/eyedK5yFU1Ye7zCwWP8AfMSM7eMVWtfISdWn D+aOFXb3q7aWYPYsTLaWkYDRqXI4FWUlVbTzAgUbc46VWUx3Fwd9wflJyuMAYqSW6gcSIrHGAMgZ FQ7isUGuLq6k2QrgdCR2/Gp5IkkVwchIhhm9TUkd3BAirGGbALE7cZqI3CSWmzftZzuYt9amwWCK yzDhJSPMGScVVn00eYsQuByfunv71dnnP2aNLY5JB+YjnHtVRo7mONnkJGcc9+tVG/MgSNplECjP Ix2HpWfM5nZHJKp1CjqahtluJvNtnuX2K3G85Yg+/pVk2qxMJGcEKOC3GBRUVpNMLWJ5ZQqDbku/ C4pl48iQrEieY79fQCqfmSzyrOsnlRqdq55z+FCrKkpkw8mc5bGM0tEgsSRLLHAEBWMseTn+VLHc NLORGodYxjc3PNNMqYIlkALD7g4qOedUT7LAi7zwwXnFQBMjSq3nS+WxPTBqd5XSEuqoZGPAFZkk EME8cc90sbvjauOKsfZD5gaOfaMdQetVysLERSWe5USsS2clccCthz5UPIOAM8VUtLeRZXaQjsB9 KddxTXHyLMFj74607WVgK0UTjN0QXlbkAjgUga5ud6hG9MDoOasGwBiCPOxAOTVmNI4402sSFGBS SAqw2cySF5GULnO0GrinGSePm/oKrXU+MrkqPbq3sKeXBt/MYYxkk+lNaIC0ZE9QMdcVXXZvLYPp zUcL+ZGJAzY547cUxJC1ztfGD0GaL3AsbdsmVRVHUnH6VEWYTs6/NuTaAPWnzYGO4Azgd6rk77JW dgrBsjFOO9gRMJjHZFx8zLkHHrSQM8lssmSGbv6VHZxj7G+8D5mJCmkAi8yBCT5hGQRxU2Ac88u8 pNGyxn+Ic/yqwEV4nG7HHUelREl5Ch+bjnHQD61XWC5Rz9mlAUjOWPNO3cCcxDz7aED5IhuOfXsK iutUaCcxqisB3p9u0sO5p2A2846/jmq5nSNmDQOzE5JU8c07dhkixSIVYI6FyN7nqB6ClmM8kv2Y BMDLZOearJfGaOIu43LjJbOTjvSzXmb9njJ6bQfwqnJJ2As29oJAZpWMgHCjGOabNbICdsyq3dS3 FUZ72aRdvmsFHAAqW002S5+aTKr296nd6Axskgi8tAN56kbjx9KtmFJ0y25SeTntVhLCCEbmGdo6 1IiJNGrgHb2Bo9WK5mXEbo6qrMUAPIqsdSEVwqHeRGPvEZya23FvGVi8v526VIY4yRiMZ9afug2z no7tFLAhhkAEkd+ppVuRLK0cakbU5J7/AOc1teZC83lAAgD5vrUnlQKv3FGOc4FFoiTZkqFiRtxG Vjxz6miJJHtl2QswKnnGa1ilt8odAd3TNSIEi+WP5fQCpSj3Hcx389SVSKQFUCqce9TR2k04LXQk WPqCG6e9XxOGuPJ5cjlvQVJIQvI4A96pWWtwuZCSLbh5YpBKZCFRtuOBn/P4VA/m3DASSMQTx6Ae takTR3DudmFU4HrUp8uNSwjFTNqTu2FzLfDMFiiYIgwDjk0FLskqDKAenzdq0jMonWIY3dTgU24n bzFAHA5NCsFyuLE7hJIC8mABgdKYLWe2nZ4EU7+7dvWtAzYiZ8EBRnmqlzLKlvGNyqzrliTyKLgO az+0bGuY4tyHIPWrK+VH8q4Bz3FUzciIL8xYsOBToJo/Klfewdjxu9fai7YD57naowwxnGRj8ajW 6YkJ5bEk9Av9aoskm9FR9zk4GVP861jAwgRDIQ2MEjvSAhn82c+WuUAGW5qSMiOCNV5wPXFNkgcx qN7AZ6DqRSQ+W5eAE4UA9fzoAryrK7N5aAknl1P6ZNWGQeUFAzjI5PA/x7Uy4i2PHEgVd5wAKkjk j+0tAmMRgDPXmmkA2Bcq8SlgcZyRVG0kYXIe5UR84HBFW7i58o+WuRK6naCO/qaqJaqsgbcxAGAC cit6VFzRUY3LbXCTTBElUDBwWHB/xpSqi03SSEnzPlIGKrOhDRtGF/dnIUjg8You5DeRrbpujVT+ 8H4djVSw8oySWw+WzNCGNYrR3ZmJOTlxzUKQFNkmd80g+Xf/AAiqoEsaGON8ocZD5OKdLdXOz5wu 0DDGMc4pSw810DlZc4W32KD8/BK1Hb+Y96wZAg28kHOAOlV0umcCO1lAiRQNwAO4mkjkuI2kH3mb jzD0x9PWl7CbSYcrJ5biCKRklkEoLDHy5Cj3xVWaS3lmd98+CeNo4xTZIdlm0ca847Dn609ZTj93 doi/3XwCPwNOrS5LWBxsU44SybmAx1zu4I9c0rytbSxt5SS7+mGwAPrVpreZtqv5YRf7v+HaqaHz II4lV8LISTtPCgnv+VF6Otg903LY2skYZUQn6YqQ3USuRkDBxtWsy1Ijj8tAAgB9zTI2P2gKV2Lj gdTXM5mZPe3bzMYIjx1Y9MCp7O6Jt0AUYHH1FUpiEiYLkmXqemBUsBZLQkKN6KcD+VTd3AWW7gSf eeHJ+ZiOntU8t7EYGWOYlzx8oyQKqLHHJbhD8ysOc981IqhQAAABxXoLCrqzXkHpLC0irA7EKOe2 KleYvCwWRNxwuM5OKrPGrjng+o6ikgcImx0R5UOTu4JHtWVWg4a9CZRsy4yFr6FAQAgz70XUrRPI QRvI2qP60WjpLctJIzK7DABGAB9abcxCMSynGDxufn8vWsLCE09AkIZmG+Rs9etSzy/fTzVXaeSO v0pEf7JYK23LKuRWbEkSRvdXCbzIcgGlohF21JEEpTLtv45p4nmG2OSE5buo4FQ2Um5JFkVYyfmC L1FSf2gsYWPDE55yece9CAdbsZ7yaQjhDtAFVbh5ppWVFATJyc9am+2w2ULTEhmkOURTVFbt5V2J gFz6ZoYF1naJAVG7I/vHmnnM22W6QRjA2r9KlSSKFFhB+cDAGO9MvE3rGrZOc5J6KPWmC2Ejmgnl EHDHHUDpSzR26RusabnxjaDyKrWZtxegRBySCMmp7mNUt5PLVwx4yakCCGGOO7jUMxcckA8CpZYt QZ94YBewBpILeOG4GGYlBhmJ4yRVgXOHKEbh3YHAB9KAIv8ATWRhIFx2GKrmV7JkPlLtfIwDWiZE ErbpVHyfdJxVBCTfQiSaLDHIUHp6VSQyWUyqxnEZDY2qepohtTAiucmSQ/MxPSnTXZSQxwKDsYFy e/sKZPdvOQIkeFQOS2CSfwJrWNGTs7DUWPksHlc+WQMNuJIzk88H25qmbiNGZJGVXU4IznmpMzYZ fPco33gec/jSLGi9EA/CuyjTlDRlxTRVmEtyB5XmR/3XDYH1x3p9mNsbIwHmKcMfX3qzUA+W9bsH QEe5H+RWttblk9FIxCqSewzUX2jaqs8UqoRndtyP0ockt2FyaioFvIGYgSD6ngH6GlS7gkXcsq49 +KfMu4XJqadmecZ96hS5MiyukTNHH1YEdPXFTKySKGUqwPcc0lOMtmK6YkqzPEdpwDj5vaoolKXM WZCwzgseh4qilxdvC3zwsSGCgnGPmxj8BUIku0jBby5HOWXaeAB7A14tjnNqQAOVAwrd/em+Skcz uz5c4IHes83d5LKjBYPLIOOf/r1ZilvJnRJDAoOQQhBIGBg07AXUVmGQAV7561WspWkE7u+AT1PS pFvIYF8kMS2PvN61FDPDb2ajIJJOarlY7ECwmC6VgT5YOOp6YP8AWr9QXU0TW5WIks/5j2pzCa2E YmZGDYGRwVJ9a7cNUsuWRpB9GS1n3twyIJAq43fKc4OAeSKvt0IzgnpWfdMhgtnGGKBfl+pxWleb jZLqOb6Gq0RUIWnYB1Hygd6qXPn3F2tuCzxoB9M1eDJHaxt5m/AxuHeqFnHcXF00srt5XXA4B9q8 96OxkjQuYyVXBJwOVB61kSy3bhnEaqF49xV/ULz7OpVVJkYcEDgVj28M13Kq7zhjz9Kl6sBdFWW4 vbq8LM0Y/dLz1PVjWvNPBCoMpGT/AA96o+HvlsJWOFBnchs8Nz1HtUbx/aLzD4IZuopSWthMVTJf XTMiAKeMkZwKuWir9ujt4AMJy7etTt+4jCwxgnoB0FQacohv0y2ZJFYtg8Chbit3NjB83bgEYzms y7keaaSNGkcA42rwB9a1TIkYMjdFGTWT/aSujKirGGJOW6mtOhZNZQ+TGzBQZvc9qkdp5mRHiwo5 JXn6VHYy+a7OMsvQsRgfhUlwJFcsjENjC88D8KlCIsrNP5MKZEZyznpnuaczyJueDDqDgjHSqjSq sbW0LyB3OGkb2GcClEtwixRxxIETlstjd+laqjNq6RXK2NtxArme7di7NwhBJ+uKfOiS/abmOY8E ELtwc9qgvZ2cLLJEgeM5DIc8+lI0isUuedqjDg9vfHt/WtqVJ9dGUolpVCDAH/16WkBBGQc0tdxo IWCjLEAepprTRowVnAJGRmldFdCrjKnrTIrGA2yliDKwygY5wO3HSsqtTkRMnYeXURl85UDORVZn hvERopAJQCU55FAt5rZC0jszBuifd298g96lggja0llbMYZiVbbyorN4iNhcyIopUW4KXTbnGNoI +XH9TWsVSVMDJVuMmqFzZebE0UIOGXIOcnOOCSaWX7Tui+XB2gHnoe/SuSpLmdyHqWE0+BYwuwSJ uyDilitLZVc+WhfpkjtVmABLdU38jrupXwo+UAj0FRZklewij8iRcBsnnFVNkvmylfLVWckDnir6 oQrKDsHXio0l8pAokiPfoacZyg7oafYyvsVuEjXCgKSGfvycmnQW9r57PBGVX7pf19aKKyQgk0u3 uFKwLz/eJOMdKlS0sbEqy4MyjA55Jxjp+FFFXFXBIa4XJMVsvmn7xfoKaNJaXLSkRnPROlFFTuwF eyt7WSJR5jyHkYPQVPOsKQbTIoWU44XcTRRTTsmMqrAs1/5ADsqDJZj0pJFiMiRROAoYbSR6UUVf PK6bYNvc0ISI7YBTkLnOf601ZnMbfOnTgr2oopSdtQZQuFuJUXyyzqeTmrtpa+TEyMQXaMj5R0z7 0UUm+oMwopL/AEmWHTZgslu4JSTHoPuitWCCUyJLJhRjcEHWiilLa5LC+jlnvI7ZDtXGTini2i09 45AzPID3P50UVPQZtrtmjBIyrCs1hJO3lparGowCzAZFFFadBlqV4bGAZGF6DAqG2/061ffkKSQM HBxRRU9bCMcpO3yqy/uWPyJ14JGTUkV+v3ZwYyP4mGB+faiitadeana5Sk7iwW8F2z7irJvPKnOf xp/2aN7qVI2LKAAwbpRRWdRtTdhN6jJgE8uO0iJdTksOjAdRVtWDqGU5BGRRRXZhJNppl02Rzy+U nClnbhVHels50SDa64mwAzH09qKKWJd5WCT1sX4o1khLO4cue3IHtUMkIV1ZwWRPuoOlFFcr7EFS bUmFwRt2oOBsNXLZw0HmOMKTxk5JooqU3cGPmvkhk8qOMySeg6D6mlVLudt0jiND/Cv+NFFUtdWT 1sSFUEvlsSRtzj1qURxY+VFx9KKKG2Ox/9k=