2019061114225800FALSE20250918090105002025091809010500ArcSDE ConnectionGC_RR_BRIDGESLN_SEP2566765.296300792050.983500172606.912500780330.1081001002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<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/3.4.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</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>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>1.0FGDC CSDGM Metadata{AB111002-7618-46E9-94FF-7004C66E9081}1500000005000FGDCGC_RR_BRIDGESLN_SEP25Feature Class919GeoPlanGC_RR_BRIDGESLN_SEP25OBJECTIDOBJECTIDOID4100Internal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeSHAPEGeometry800Feature geometry.ESRICoordinates defining the features.BRIDGE_IDBRIDGE_IDString20Unique ID for each recordFRA00CITYCITYString25City of structure's physical location.GeoPlan00COUNTYCOUNTYString20County of structure's physical location.GeoPlan00STATESTATEString200State of structure's physical location.GeoPlanTYPETYPEString22Type of feature crossed.FRA00RROWNERRROWNERString700Track Owner, first level. RR codes used.FRASUBDIVISIOSUBDIVISIOString5000FRA subdivision, if available.FRARAIL_MILEPRAIL_MILEPString700Bridge Attribute: Attribute: Rail_MilePost a. ~ 50% of bridges do not have rail milepost; If no corresponding Milepost found, the value of Rail Milepost set to be “Unknown”National Transportation Atlas Database (NTAD)NAMENAMEString55Name of the feature crossed. Follow the following rules to populate the column “NAME” and the column “SECONDARY_STREETNAMES” a. If one of the overlapping street names in TIGER matches the street name on Grade Crossing database, that street name will go to the column “NAME”. b. If no road name matches the street name in the Grade Crossing database, check the tiger MTFCC code, the road name with the highest function code will go to the column “NAME. c. If the function codes for the streets are the same, check the tiger RTTYP, the road name with the highest type code ("U“> "S“>"I“> “C“> “M“> "O") will go to the column “NAME. d. If the function codes and road type are the same, check if the street name includes a number such as “1STstreet”, “Rte80” or “HWY 9”. The road name which contains a number will go to the column “NAME”. e. If none of the street names contain a number, then either street name will go to the column “NAME”. f. The rest of the street names will go to the column “SECONDARY_STREETNAMES”.National Transportation Atlas Database (NTAD)00BRIDGE_TYPBRIDGE_TYPString2200Type of Bridge.FRADESIGN_TYPDESIGN_TYPString2000Bridge construction type.FRANUM_TRACKSNUM_TRACKSString800Number of tracks on bridge. Bridge Attribute: Num_Tracks and SUBDIV a. If a bridge is related to the multiple railroad line segments, the Num of Tracks for bridge will be “Multiple”. For example, if a bridge point is the intersection of the one road and the multiple railroad line segment with the same railroad owner, the Num of Tracks should be “Multiple”. b. If a bridge is related to the single railroad line segment, but the attribute value of TRACKS for the railroad line segment is more than 1, the Num of Tracks should be still populated as “Multiple”, Otherwise, it will be populated as “One” c. Get SUBDIV from main track (NET=“M”). If no main tracks found, the value of SUBDIV is set to be “Unknown”National Transportation Atlas Database (NTAD)GRADECROSSGRADECROSSString700Not defined by source.GeoPlanSECONDARY_SECONDARY_String4000Not defined by sourceGeoPlanSECONDAR_1SECONDAR_1String700Not defined by sourceGeoPlanSECONDAR_2SECONDAR_2String8700Not defined by sourceGeoPlanNOTESNOTESString100Reviewers notes on individual features.GeoPlan00FSOURCEFSOURCEString100Feature Spatial SourceGeoPlan00DATASOURCEDATASOURCEString100Feature Data/Tabular SourceGeoPlan00LEN_FTLEN_FTInteger4Length of bridge line feature in feet.GeoPlan100XMINXMINInteger4Minimum X-coordinate of the line extent in FGDL AlbersGeoPlan100YMINYMINInteger4Minimum Y-coordinate of the line extent in FGDL AlbersGeoPlan100XMAXXMAXInteger4Maximum X-coordinate of the line extent in FGDL AlbersGeoPlan100YMAXYMAXInteger4Maximum Y-coordinate of the line extent in FGDL AlbersGeoPlan100LAT_DDLatitude in decimal degrees.GeoPlanLAT_DDDouble8388LONG_DDLongitude in decimal degrees.GeoPlanLONG_DDDouble8388MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/GeoPlanMGRSString1500GOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000GCIDGCIDInteger4The GeoPlan Center identification number.GeoPlan100DESCRIPTDESCRIPTString100Field added by FGDL based on RROWNER and BRIDGE_ID.GeoPlan00FLAGFLAGString5Type of update that occurred.GeoPlanFNVGeoPlanFuture Not Verified.NVGeoPlanNot Verified.VVerified, in most cases this verification was based on ESRI/Google Imagery, Google Street View, and Parcel Data. The exact structure extents are not verified and the structure ID has not been verified via Google Street View.GeoPlan00UPDATE_DAYUPDATE_DAYDate8The date the data was last updated by the Source.GeoPlan00FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgArcGIS Metadata1.00.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassRailroad Bridge Structures (Line) Over Navigable and Non-Navigable Waterways in Florida - September 20252025-07-14T00:00:002025-09-08T00:00:00University of Florida GeoPlan CenterUniversity of Florida GeoPlan CenterGainesville, FLState of Floridavector digital dataThis dataset contains 2025 Railroad Bridge Structure (line) location information for the State of Florida. This bridge layer focuses mainly on railroad bridges over water. This dataset is a combination of railroad bridge structures from 2 different sources. Railroad Bridge line data was created for the U.S. Department of Transportation (USDOT): Railroad Bridges point locations (694) in Florida, GeoPlan created an additional 225 railroad bridges or culverts not covered by the national dataset. The data contains selected fields denoting the bridge id, owner, physical location, and other structure information for railroad bridges located in Florida. The USDOT Railroad Bridges dataset (FGDL Dataset RRBRIDGES) was compiled on October 14, 2022 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A railroad bridge is defined as “Railroad bridge means any structure with a deck, regardless of length, which supports one or more railroad tracks, or any other undergrade structure with an individual span length of 10 feet or more located at such a depth that it is affected by live loads.” based on the Code of Federal Regulations (49 CFR Part 237). The FRA does not have a mandate to inspect railroad bridges: these inspections are required by the owner of the track. The FRA will use this railroad bridge dataset to determine the number of bridges per railroad, state, etc. and will assist in determining priority field activities.Please Note: This layer can be joined to the national point layer via the BRIDGE_ID field. This data is meant to be used for planning purposes only and is not intended to represent a 100% inventory of railroad bridges in Florida. Bridge locations that have been verified are marked with the letter V in the FLAG field.This dataset is an update to the FGDL layer GC_RR_BRIDGESLN_JUL25.This dataset contains 2025 Railroad Bridge Structure (line) location information for the State of Florida. This bridge layer focuses mainly on railroad bridges over water. This dataset is a combination of railroad bridge structures from 2 different sources. Railroad Bridge line data was created for the U.S. Department of Transportation: Railroad Bridges point locations (694) in Florida, GeoPlan created an additional 225 railroad bridges or culverts not covered by the national dataset. The data contains selected fields denoting the bridge id, owner, physical location, and other structure information for railroad bridges located in Florida. This dataset is an update to the FGDL layer GC_RR_BRIDGESLN_JUL25.GeoPlan Center, University of Florida U.S. Department of Transportation: Railroad Bridges https://geodata.bts.gov/datasets/usdot::railroad-bridges/aboutKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgKate NorrisFlorida2025Railroad BridgeBody of WaterBridgesTransportationStructureCulvertISO 19115 Topic CategorystructuretransportationRailroad BridgeCountyCityBody of WaterStructure InformationTransportationFloridaCulvert2025The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.-87.42904-79.87225124.49281530.983191State of Florida2025-07-09T00:00:002025-09-08T00:00:00publication date2025-09-08T00:00:00U.S. Department of Transportation: Railroad Bridges https://geodata.bts.gov/datasets/usdot::railroad-bridges/about Details Dataset: Feature Layer Info Updated: March 1, 2024 Data Updated: June 24, 2024 Published Date: October 14, 2022 Records: 69,510 The purpose of this work is to identify and improve the spatial accuracy and attribution to the Railroad Bridge Inventory. The locations will include railroad over road, railroad over waterways and railroad over railroad. The Railroad Bridges dataset was compiled on October 14, 2022 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A railroad bridge is defined as “Railroad bridge means any structure with a deck, regardless of length, which supports one or more railroad tracks, or any other undergrade structure with an individual span length of 10 feet or more located at such a depth that it is affected by live loads.” based on the Code of Federal Regulations (49 CFR Part 237). The FRA does not have a mandate to inspect railroad bridges: these inspections are required by the owner of the track. The FRA will use this railroad bridge dataset to determine the number of bridges per railroad, state, etc. and will assist in determining priority field activities. Data Set Credit: Acknowledgement of the Federal Railroad Adminsitration, FRA National American Rail Network (NARN), Census Topologically Integrated Geographic encoding and Referencing (TIGER), National Hydrography Dataset (NHD) Waterway , FHWA’s National Bridge Inventory (NBI), FRA’s Automated Track Inspection Program (ATIP) Bridges, USDOT Grade Crossing Inventory, HIFLD Bridge data, and the Bureau of Transportation Statistics (BTS) [distributor].Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.0.554051-87.491222-79.89299531.03134825.5011226000This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyGeoPlan Center Process Steps (July 14th, 2025): This dataset is a combination of railroad bridge structures from 2 different sources. Railroad Bridge line data was created for the U.S. Department of Transportation: Railroad Bridges point locations (694) in Florida, GeoPlan created an additional 156 railroad bridges or culverts not covered by the national dataset. U.S. Department of Transportation: Railroad Bridges https://geodata.bts.gov/datasets/usdot::railroad-bridges/about Details Dataset: Feature Layer Info Updated: March 1, 2024 Data Updated: June 24, 2024 Published Date: October 14, 2022 Records: 69,510 A selection was done on the USDOT Railroad Bridges point layer where STATE = "FL". Each point was individually inspected to verify whether or not the bridge point was accurate, while creating a line feature extent manually, for each point location that was in alignment with the North American Rail Network Lines dataset. North American Rail Network Lines https://geodata.bts.gov/datasets/usdot::north-american-rail-network-lines/about Bridge locations were checked using imagery and either marked as Verified or Not Verified or Future Not Verified in the FLAG field, please see the FLAG field Attribute Definition for more information. Some features were noted in the NOTES field as "DUPLICATED DUE TO SPATIAL ISSUES" this indicated if a BRIDGE ID number has more than one feature associated with it. Next GeoPlan Center performed the following attribute table adjustments. -Upper cased all records. -Added DESCRIPT field based on RROWNER and BRIDGE_ID. -Added and Calculated Lat_DD, Long_DD, MGRS, GOOGLEMAP, XMIN, YMIN, XMAX, YMAX. -Added and Calculated LEN_FT. -Added FGDLAQDATE based on the date GeoPlan acquired the data from the Source. -Socio-Cultural Effect data fields and definitions were added. CITY, COUNTY, FLAG, UPDATE_DAY, GCID.2025-07-14T00:00:00Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgKate NorrisGeoPlan Center Process Steps (September 8th, 2025): Added 69 newly discovered railroad bridges and/or culverts. Next GeoPlan Center performed the following attribute table adjustments. -Upper cased all records. -Added DESCRIPT field based on RROWNER and BRIDGE_ID. -Added and Calculated Lat_DD, Long_DD, MGRS, GOOGLEMAP, XMIN, YMIN, XMAX, YMAX. -Added and Calculated LEN_FT. -Added FGDLAQDATE based on the date GeoPlan acquired the data from the Source. -Socio-Cultural Effect data fields and definitions were added. CITY, COUNTY, FLAG, UPDATE_DAY, GCID. -Updated the Metadata2025-09-08T00:00:00Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgKate NorrisSpatial and Attribute InformationThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0datasetEPSG6.12(9.2.0)91920250918C3C4FA59-8C60-4128-997D-FDE5B1BF41D6Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611USdata@fgdl.orgwww.fgdl.orgdata@fgdl.orgKate Norris/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9KKKK KACiiigBn8aU+mfxU+gAooooAKKKKACiiigAooooAZ/FT6Yn8dPoAKKKKACiiigAooooAKKKKACm TOqL81PrP1iaW2s5ZV2uir916AOc8SX++48qKWX5f++K5+h38xqK1AKKKKACiiigAooooAKKKKAC iiigD1Oimb/9mn1kAUUUUAM/ip9M/ip9ABRRTHmWNdzMuygB9FN3p/eWjen96gB1FG9P71HmUAFF HmUbloAYn3np9MT7z0+gAooooAKKKKACiiigAooooAZM/kru+b/gFcf4k1X7T+42/wAX3/8AZrq7 +ZobdmVq8/1K/a/uNzfw/ItUgKlFFFWAUUUUAFFFFABRRRQAUUUUAFFFFAHqH/LX/dp9Mf8Ad/NQ 8ywruZtiVkA+iq9zf21mv72dU/4FTLbVba5idop12L96gCx/GlNubmKzi82V9iUx7yCNomaVURvu /PXP+M7n/j0gVvkb56a1A6X76Vn3+28t5bOVd6NKiSw7X/1TVoQurwJtbem2q9y/ks8vzb1iZ9if x1EtgLdMmmWHZu3fM2z5F31hWettc6ltn27FlZIvJbejL/fet15okXduWmtdQBNr02aaC2i82VlR N2z5/wC9VH/hILH/AJ6f+O1oQzLcxJLE29HofkBXe5VP+WEmzdt/1VH2ldssrxSoi/8ATKrdMT/W S0agNSaKZUlgZXRv40qWsTxPeNpVrbtFpUd/9onW3dHlRNvmvs/9nrn7Px/pn9uRaRp8Um9vtH+4 vlbN+/8AipXfUDu6K4fQfip4e1i/1W2ilaH7B87O6v8AMvyb/wDvh221p2fj/QdS2fZrqSZGlW3V 0gfZuZN9O6A6WiuUs/iL4cv7q3gg1DfLcNsVNr/5/jrqNn+21MB9FV189JdrNvi/v1L839+kA+ok ud8ssXlN8v8AHt+9THmaFtvyzN/cT5Kz9Sv/ACZX27fNtdsv3v4f49//AI//AN8UnKyuwNCZ4pon 3Lv/ANh1rzeb55X+XZ81d7c/ZryXcs/zyxK6+TLsd686v7yCwZ2uZ47b5v8Als2yrg73AlooorQA ooooAKKKKACiiigAooooAKKKKAOmTUtQ0dXW5aOZNv3Hf56qar4huby3iXa0KN/c/iroNY0G2vP3 7N5L/wAT1j+KvI8q38pvnVdi7Khagc47s/3moooqwHyOzqis7Pto8532eZudF/26ZRQBsWPiFtNt fIii3p/ttVebW7ybful+997ZWfRSsA/7VJ/eaje/95qZRTAsQ389s26KVkrb03xbLD8tzErp/fSu cooA7uHWmm/1XlzO33djbP8AvutWGHyVf5t7s29nrzW2uGtpdy/98V3Gg6xFf2+35klX+B6zlHW4 F28to7mJFli85FlV1T/aV/krCsPh14e02VJYrH97tZN7s/8AEmx//HEroHmZLqKL+Blb/wBkpl5e QWEfmzyqiVIGFZ/Dfw9pq3awWOz7Vu81/Nfe27Z/8QlS23gPRbNUWK2bYkqS7Xld/u/crM17xC1y yfY52RP7lUrPXryzuPN81pt33ker5WB0Ft4M0qwvLWeCBoXi+Rfmf/vit10WaJ1dd6N8jVQ0fW4N Y/h2Sr/BWlUgNf7lIieSm1fuU+igDh/Fvg/V9e1lL6xvo9N2qq/eff8AI+/+GsRPhXqv2+9vP7T3 yy2cVq37+VPNZfNfzXf/ALa/d+79+vTnuVTzflb9197+CmWELQ2qbm3u3zs/+989Te4HmSfDG+Ro turybGlZ/Ohll+Ztjom9N/yqjvWD4z+G882pXcX9pt8zSuu9d+1W/wD22r2izRbNns03bFXfFu/h X+5XNeMIf9KSf/gDU4WWgHFaVon9m3uoT/aWm+1S713r9353f/2etKiitgCiiigAooooAKKKKACi iigAooooA7vWJpb/AEtHsW37v4P71cO7t91v4asW2pNZxbY/v/391bEP9n6la26ssaXrfJ8nyVOw HOUVe1jTW028eL+D+F6o1QBRRRQAUUUUAFFFFABRRRQAVe03UvsEzt82/bsV0/hqjRRa+jA1rzXp XvfPi/1u3Ys391az7q8nvJvNnlZ3qGikklsAUUUUwLFhfy6bdJPF99K9A02//tKzin27N38Feb1r aJr0ulSou7fbs3zJUyA72imQzLNEjRMro39yn1ADHRnV13feWiF96p/6Hsp9MRPJjRf7tHUBqfPd S/KybVVN/wDerP8AENh9s02XavzL89aT/Iu75vl/uU2ZGddy/I/8O+ltqB5jRVvVbb7LfyrtZE3f Kj1UrZO+qAKKKKACiiigAooooAKKKKACiiigAqxbXP2P94v+t/hf+7VeigCa8vJby4eWVt7tUNFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAaFnrd5ZxJFFLsRa7vTbxb+zinX+KvNK6 7wY6vbyr/wAtVqWgOiTdt+b79PoqpealFYWEt5P8kUS7/lqALdMRNm/73zNv+dq5pPHNimpRWd0z Wd3LKkX2GZf33zP8j/f+7VuHxhpFzqL20GpwO6q3mp5qfL/nY/8A3xSuBX8W6a02y5Vd6Kuz/drk a6hPHmlaxFewWcvnXETMi2+355/k3/J/v1j6rpUthLuRd9u33WqotXsBn0UUVoAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXV+CYWSK4l/gb5 K5T7td9oltF/YcSrK2yVfvo1TLYDQT99FuVmdJfnXfUN5psF/pr2M6/6Oy7NqVYf7vy/O9V4bzYq faWWF2+7vb71Z7AY8PgPT47976WW5ub1midriaX5/ldHT/0CsKz+HWkaPdXcVnZ3N/LdMry/aJdi bVR0+/s/uSvXcPMs3lKrNsl+dXSn21stsu1d3zPv+d99S7y0QHKW/ga20e/i1CCza5u2bfO814+9 tv3P4Pn/APHa1fEjxf2TLLKrJu2oqf3WrbrC8VJK9nt+Xytv/A9//wCxvqtncDiaKKK2AKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCK5tory3l glVXilXYyOu9GrCh8K69pS+GoNPaDTdHtbW3tb54WRPNX59+z/gf/s9dFVuz8+ZUX5nt1lXcm3f/ AB1nUStd9AMLTbDxtc3lpBFqFzNFsbdN5+xFbyrf53fZ/f8AN+Suy8E6VqulrKurxWz3dwzOrwu8 u1VRPkd2+b7+/wD77rq7O1js7dIol2J/vUXL+XLbtt/i2M393d/9ntrO2l2BE/n2cryrEzoy+bKm 7ftb5Puf5/gq7USw7LdItzPt/jo85U2LKyo7fdTd96he6BLUV5D9ptZYt2zcuzfUtFUwPOdY09tN vHib/fWqVdX4ws12pOrfPu+5XKVrHYAooopgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABU1rMytt81oUb5GdKhoo30YHqEL74kb5fu/wVFebUtXZt2x fn+Ssrw9rC3Nh5Tf62L5NlXYdVS8v4YIPnRVZpXrB9gNCotkv2p2Zl8rauxP9qpaZ825P7lMCJIW tt/lMzpt+WF//i6La887erRSQyq33H/9Dqxv3/dqveIr/Z9331lXbS+HYCvf2ED29xLLF50rL5W/ +NV315+67G+VldP76fxV6b9xfmauK8W23k6l5qqqJKv8FXFdAMSiiitACiiigAooooAKKmh8j/lr u/4BU8Wky3S+ZEMoaAKVFFFABRRRQAUUUUAFFFFABUVzcrbLub+KpaiufK2/v/uUAMe+iT/f/uU9 LyN4kZvk3fd31XRLOb5l2/N/tVK8MDqm7b8v3PmoAmhm86JJV+41OpqIqKir9ynUAFFFFABRRRQA UUUUAFFFFAE1neS2cvmwNseuy0S1/wCJbK/n/vWdpVmRfu1w9a1nr0thsSJfk27WR2qZK4Ha6bNP NY28tyuy4aJXZP8AaqxVXSvl023X5vlXZ89WqyjsgKl1Zt88lsyw3Dfx7fkb/fSnwzNcrFKu3ymX fViii2twCuS8YIqSxKu1P49ldbXFeLZmfUn3KyIm1F/2v4//AGf/AMcqvtIDBooorUB6bd3zfcrT 0rTd10kvmqlvE29pqyaKAOgv9S0hJf3Vn5zf3/uVV/t7yW/cWdtCv+7vrJopWAHfe26pUuJYl2o5 C+zVFRTAKKKKACiiigAooooAKKKKACmzQrcrtb50p1FAFJ9Kg/2qe+mxNv8Amb5qtUUANRNioq/w 06iigAooooAKKKKACiiigAooooAKKKKAPQPD14tzpcW1vnVdrVp15vZ6lc2H+ol2V0ej+J2uZXiu VX7v30qOUDpaKEfeu6qmqvKml3bQf8fCxNs/3tlSBbrz/wAQwvDePu/jld//AB+sew8T+LJlt/tN tPs+xxW7J5Tp5tx5sXmy/L9390//AKHXNJ4n8Q61cSyxaZ9gi83YvnWr/dalvK/YDqqKzfD1zeXm m+ZfQfZrhmb5P9mtKtgCiiigAooooAKKe+3any/P/FTKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACnwzNDIkq/fWmUUAel6beLf2cU6/wAVWK5LTZov7Nt2 ivls5Ym+ZH/irSfxbYpE3zM7/wBzbWdgJteTydNu51X97t2b/wDZrga6bUte/tKw3L+52ts8n+9X M1UVYAoooqgCiiigAoore0HRLbVbV2bcksX/AI9QwMGiuV8Yatqeia06wS/6JFYyyyoi7/m3om// AIBvrCk+I2pR7Ft1s9mxc+fw2doz/HSuB6PRRRTAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKfRRQAO/mNTKKKACiiigAooooAK7vwxpv2Cw+b78vztRRUy2 A5rxgltZ6pKy7nfyvNl2L91awodcXa3lTnYGI4aiimtgP//Z