NATIONAL BRIDGE INVENTORY IN FLORIDA

20180905 11281200 1.0 FALSE Drawbridges 002 59085.357000 793474.785700 64162.507400 781352.745800 1 0.000 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) Albers Conical Equal Area [Florida Geographic Data Library] <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/3.6.0'><WKT>PROJCS["Albers Conical Equal Area [Florida Geographic Data Library]",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["Central_Parallel",24.0],UNIT["Meter",1.0]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20260311 16030700 20260311 16030700 FGDC CSDGM Metadata {87C0CE1C-1DB6-4E4B-85C9-5B3E15449C44} Esri ArcGIS 13.6.0.59527 Drawbridges 1 -87.571948 -79.877733 31.040567 24.523166 59085.357 793474.7857 781352.7458 64162.5074 1 -87.571948 -79.877733 31.040567 24.523166 1 Shapefile 002 withheld Local Area Network 0.330 Shapefile 0.000 dataset Albers Conical Equal Area [Florida Geographic Data Library] 0 Vector Simple FALSE 0 FALSE FALSE BTS_BRIDGE_JUN17 Feature Class 0 BTS_BRIDGE_JUN17.DBF BTS FID FID 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. STATE_CODE STATE_CODE Integer 10 State Code FHWA 10 0 STRUCTURE_ STRUCTURE_ String 15 Structure Number FHWA 0 0 RECORD_TYP RECORD_TYP Integer 10 Record Type FHWA 10 0 ROUTE_PREF ROUTE_PREF Integer 10 Route Signing Prefix FHWA 10 0 SERVICE_LE SERVICE_LE Integer 10 Designated Level of Service FHWA 10 0 ROUTE_NUMB ROUTE_NUMB String 5 Route Number FHWA 0 0 DIRECTION_ DIRECTION_ Integer 10 Directional Suffix FHWA 10 0 HIGHWAY_DI HIGHWAY_DI String 5 Highway Agency District FHWA 0 0 COUNTY_COD COUNTY_COD String 5 County (Parish) Code FHWA 0 0 PLACE_CODE PLACE_CODE String 5 Place Code FHWA 0 0 FEATURES_D FEATURES_D String 25 Features Intersected FHWA 0 0 CRITICAL_F CRITICAL_F String 1 Critical Facility Indicator FHWA 0 0 FACILITY_C FACILITY_C String 20 Facility Carried By Structure FHWA 0 0 LOCATION_0 LOCATION_0 String 30 Location FHWA 0 0 MIN_VERT_C MIN_VERT_C Double 19 Inventory Route, Min Vertical Clearance FHWA 18 8 KILOPOINT_ KILOPOINT_ Double 19 Kilometerpoint FHWA 18 8 BASE_HWY_N BASE_HWY_N Integer 10 Base Highway Network FHWA 10 0 LRS_INV_RO LRS_INV_RO String 15 LRS Inventory ROute FHWA 0 0 SUBROUTE_N SUBROUTE_N Integer 10 Subroute Number FHWA 10 0 LAT_016 LAT_016 String 10 Latitude FHWA 0 0 LONG_017 LONG_017 String 10 Longitude FHWA 0 0 DETOUR_KIL DETOUR_KIL Integer 10 Bypass/Detour Length FHWA 10 0 TOLL_020 TOLL_020 Integer 10 Toll FHWA 10 0 MAINTENANC MAINTENANC String 5 Maintenance Responsibility FHWA 0 0 OWNER_022 OWNER_022 String 5 Owner FHWA 0 0 FUNCTIONAL FUNCTIONAL String 5 Functional Class of Inventory Route FHWA 0 0 YEAR_BUILT YEAR_BUILT Integer 10 Year Built FHWA 10 0 TRAFFIC_LA TRAFFIC_LA Integer 10 Lanes on Structure FHWA 10 0 TRAFFIC__1 TRAFFIC__1 Integer 10 Lanes Under Structure FHWA 10 0 ADT_029 ADT_029 Integer 10 Average Daily Traffic FHWA 10 0 YEAR_ADT_0 YEAR_ADT_0 Integer 10 Year of Average Daily Traffic FHWA 10 0 DESIGN_LOA DESIGN_LOA String 2 Design Load FHWA 0 0 APPR_WIDTH APPR_WIDTH Double 19 Approach Roadway Width FHWA 18 8 MEDIAN_COD MEDIAN_COD Integer 10 Bridge Median FHWA 10 0 DEGREES_SK DEGREES_SK Integer 10 Skew FHWA 10 0 STRUCTURE1 STRUCTURE1 Integer 10 Structure Flared FHWA 10 0 RAILINGS_0 RAILINGS_0 String 2 Traffic Safety Features FHWA 0 0 TRANSITION TRANSITION String 2 Transitions FHWA 0 0 APPR_RAIL_ APPR_RAIL_ String 2 Approach Guardrail FHWA 0 0 APPR_RAIL1 APPR_RAIL1 String 2 Approach Guardrail Ends FHWA 0 0 HISTORY_03 HISTORY_03 Integer 10 Historical Significance FHWA 10 0 NAVIGATION NAVIGATION String 2 Navigation Control FHWA 0 0 NAV_VERT_C NAV_VERT_C Double 19 Navigation Vertical Clearance FHWA 18 8 NAV_HORR_C NAV_HORR_C Double 19 Navigation Horizontal Clearance FHWA 18 8 OPEN_CLOSE OPEN_CLOSE String 2 Strucutre Open/Posted/Closed FHWA 0 0 SERVICE_ON SERVICE_ON Integer 10 Type of Service on Bridge FHWA 10 0 SERVICE_UN SERVICE_UN Integer 10 Type of Service Under Bridge FHWA 10 0 STRUCTUR_1 STRUCTUR_1 Integer 10 Kind of Material/Design FHWA 10 0 STRUCTUR_2 STRUCTUR_2 String 5 Type of Design/Construction FHWA 0 0 APPR_KIND_ APPR_KIND_ Integer 10 Approach Spans, Kind of Material/Design FHWA 10 0 APPR_TYPE_ APPR_TYPE_ String 5 Approach Spans, Type of Design/Construction FHWA 0 0 MAIN_UNIT_ MAIN_UNIT_ Integer 10 Number of Spans in Main Unit FHWA 10 0 APPR_SPANS APPR_SPANS Integer 10 Number of Approach Spans FHWA 10 0 HORR_CLR_M HORR_CLR_M Double 19 Inventory Rte Total Horizontal Clearance FHWA 18 8 MAX_SPAN_L MAX_SPAN_L Double 19 Length of Maximum Span FHWA 18 8 STRUCTUR_3 STRUCTUR_3 Double 19 Structure Length FHWA 18 8 LEFT_CURB_ LEFT_CURB_ Double 19 Left Curb/Sidewalk Width FHWA 18 8 RIGHT_CURB RIGHT_CURB Double 19 Right Curb/Sidewalk Width FHWA 18 8 ROADWAY_WI ROADWAY_WI Double 19 Bridge Roadway Width Curb-To-Curb FHWA 18 8 DECK_WIDTH DECK_WIDTH Double 19 Deck Width, Out-To-Out FHWA 18 8 VERT_CLR_O VERT_CLR_O Double 19 Min Vertical Clearance Over Bridge Roadway FHWA 18 8 VERT_CLR_U VERT_CLR_U String 2 Minimum Vertical Underclearance Reference Feature FHWA 0 0 VERT_CLR_1 VERT_CLR_1 Double 19 Minimum Vertical Underclearance FHWA 18 8 LAT_UND_RE LAT_UND_RE String 2 Min Lateral Underclear on Right, Reference Feature FHWA 0 0 LAT_UND_MT LAT_UND_MT Double 19 Minimum Lateral Underclearance FHWA 18 8 LEFT_LAT_U LEFT_LAT_U Double 19 Min Lateral Underclear On Left FHWA 18 8 DECK_COND_ DECK_COND_ String 2 Deck FHWA 0 0 SUPERSTRUC SUPERSTRUC String 2 Superstructure FHWA 0 0 SUBSTRUCTU SUBSTRUCTU String 2 Substructure FHWA 0 0 CHANNEL_CO CHANNEL_CO String 2 Channel/Channel Protection FHWA 0 0 CULVERT_CO CULVERT_CO String 2 Culverts FHWA 0 0 OPR_RATING OPR_RATING Integer 10 Method Used to Determine Operating Rating FHWA 10 0 OPERATING_ OPERATING_ Double 19 Operating Rating FHWA 18 8 INV_RATING INV_RATING Integer 10 Method Used to Determine Inventory Rating FHWA 10 0 INVENTORY_ INVENTORY_ Double 19 Inventory Rating FHWA 18 8 STRUCTURAL STRUCTURAL String 2 Structural Evaluation FHWA 0 0 DECK_GEOME DECK_GEOME String 2 Deck Geometry FHWA 0 0 UNDCLRENCE UNDCLRENCE String 2 Underclear, Vertical & Horizontal FHWA 0 0 POSTING_EV POSTING_EV Integer 10 Bridge Posting FHWA 10 0 WATERWAY_E WATERWAY_E String 2 Waterway Adequacy FHWA 0 0 APPR_ROAD_ APPR_ROAD_ Integer 10 Approach Road Alignment FHWA 10 0 WORK_PROPO WORK_PROPO Integer 10 Type of Work Proposed FHWA 10 0 WORK_DONE_ WORK_DONE_ Integer 10 Work Done By FHWA 10 0 IMP_LEN_MT IMP_LEN_MT Double 19 Length of Structure Improvement FHWA 18 8 DATE_OF_IN DATE_OF_IN Integer 10 Inspection Date FHWA 10 0 INSPECT_FR INSPECT_FR Integer 10 Designated Inspection Frequency FHWA 10 0 FRACTURE_0 FRACTURE_0 String 5 Fracture Critical Details FHWA 0 0 UNDWATER_L UNDWATER_L String 5 Underwater Inspection FHWA 0 0 SPEC_INSPE SPEC_INSPE String 5 Other Special Inspection FHWA 0 0 FRACTURE_L FRACTURE_L Integer 10 Fracture Critical Details Date FHWA 10 0 UNDWATER_1 UNDWATER_1 Integer 10 Underwater Inspection Date FHWA 10 0 SPEC_LAST_ SPEC_LAST_ Integer 10 Other Special Inspection Date FHWA 10 0 BRIDGE_IMP BRIDGE_IMP Integer 10 Bridge Improvement Cost FHWA 10 0 ROADWAY_IM ROADWAY_IM Integer 10 Roadway Improvement Cost FHWA 10 0 TOTAL_IMP_ TOTAL_IMP_ Integer 10 Total Project Cost FHWA 10 0 YEAR_OF_IM YEAR_OF_IM Integer 10 Year Of Improvement Cost Estimate FHWA 10 0 OTHER_STAT OTHER_STAT Integer 10 Neighboring State Code FHWA 10 0 OTHER_ST_1 OTHER_ST_1 Integer 10 Percent Responsibility FHWA 10 0 OTHR_STATE OTHR_STATE String 20 Border Bridge Structure Number FHWA 0 0 STRAHNET_H STRAHNET_H Integer 10 STRAHNET Highway Designation FHWA 10 0 PARALLEL_S PARALLEL_S String 2 Parallel Structure Designation FHWA 0 0 TRAFFIC_DI TRAFFIC_DI Integer 10 Direction Of Traffic FHWA 10 0 TEMP_STRUC TEMP_STRUC String 2 Temporary Structure Designation FHWA 0 0 HIGHWAY_SY HIGHWAY_SY Integer 10 Highway System Of Inventory Route FHWA 10 0 FEDERAL_LA FEDERAL_LA Integer 10 Federal Lands Highways FHWA 10 0 YEAR_RECON YEAR_RECON Integer 10 Year Reconstructed FHWA 10 0 DECK_STRUC DECK_STRUC String 2 Deck Structure Type FHWA 0 0 SURFACE_TY SURFACE_TY String 2 Type of Wearing Surface FHWA 0 0 MEMBRANE_T MEMBRANE_T String 2 Type of Membrane FHWA 0 0 DECK_PROTE DECK_PROTE String 2 Deck Protection FHWA 0 0 PERCENT_AD PERCENT_AD Integer 10 Average daily truck traffic FHWA 10 0 NATIONAL_N NATIONAL_N Integer 10 Designated national network FHWA 10 0 PIER_PROTE PIER_PROTE Integer 10 Pier/Abutment protection FHWA 10 0 BRIDGE_LEN BRIDGE_LEN String 2 NBIS bridge length FHWA 0 0 SCOUR_CRIT SCOUR_CRIT String 2 Scour critical bridges FHWA 0 0 FUTURE_ADT FUTURE_ADT Integer 10 Future average daily traffic FHWA 10 0 YEAR_OF_FU YEAR_OF_FU Integer 10 Year of future average daily traffic FHWA 10 0 FED_AGENCY FED_AGENCY String 2 0 0 DATE_LAST_ DATE_LAST_ Date 8 0 0 TYPE_LAST_ TYPE_LAST_ String 2 0 0 DEDUCT_COD DEDUCT_COD String 5 0 0 REMARKS REMARKS String 1 0 0 PROGRAM_CO PROGRAM_CO String 5 0 0 PROJ_NO PROJ_NO String 10 0 0 PROJ_SUFFI PROJ_SUFFI Integer 10 10 0 NBI_TYPE_O NBI_TYPE_O Integer 10 10 0 DTL_TYPE_O DTL_TYPE_O Integer 10 10 0 SPECIAL_CO SPECIAL_CO String 1 0 0 STEP_CODE STEP_CODE String 1 0 0 STATUS_WIT STATUS_WIT Integer 10 10 0 SUFFICIENC SUFFICIENC String 2 0 0 SUFFICIE_1 SUFFICIE_1 Double 19 18 8 STATUS_NO_ STATUS_NO_ Integer 10 10 0 MIN_NAV_CL MIN_NAV_CL Double 19 Minimum navigation vertical clearance vertical lift bridge FHWA 18 8 CAT10 CAT10 String 2 Bridge Condition FHWA 0 0 CAT23 CAT23 String 2 Condition code value that dictates the overall Bridge Condition FHWA 0 0 CAT29 CAT29 Double 19 Deck area as defined by the Pavement and Bridge Condition Performance Measures final rule, published in January of 2017 FHWA 18 8 LAT_DD LAT_DD Double 19 Latitude Decimal Degrees GeoPlan 18 8 LONG_DD LONG_DD Double 19 Longitude Decimal Degrees GeoPlan 18 8 MGRS MGRS String 15 Military 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/ GeoPlan 0 0 GOOGLEMAP GOOGLEMAP String 100 Webpage hyperlink to location in Google Maps. GeoPlan 0 0 DESCRIPT DESCRIPT String 85 GeoPlan added field based on [FEATURES_D], [FACILITY_C], and [LOCATION_0] GeoPlan 0 0 FGDLAQDATE FGDLAQDATE Date 8 GeoPlan added field based on date acquired from source GeoPlan 0 0 AUTOID AUTOID Integer 10 Unique ID added by GeoPlan GeoPlan 10 0 20260311 ESRI ArcCatalog 9.3.1.4000 https://www.fhwa.dot.gov/bridge/nbi/disclaim.cfm?nbiYear=2017/delimited&nbiState=FL17 NATIONAL BRIDGE INVENTORY IN FLORIDA - JUNE 2017 ETAT.BTS_BRIDGE_JUN17 vector digital data U.S. Department of Transportation, Bureau of Transportation Statistics, Federal Highway Administration 20170627 State of Florida U.S. Department of Transportation, Bureau of Transportation Statistics Washington, D.C. en This dataset is a subset of the National Bridge Inventory for the state of Florida. The NBI is a collection of information (database) describing more than 600,000 of the Nation's bridges located on public roads including Interstate Highways, US highways, State and county roads, as well as publicly-accessible bridges on Federal lands. It presents a summary analysis of the number, location, and general condition of highway bridges within the state. This is an update to the bts_bridge_2017 layer. To document the nation's bridge inventory. SHAPEFILE -87.429040 -79.872251 30.983191 24.492815 59085.357031 793474.785625 64162.507344 781352.745781 NONE inlandWaters location structure transportation structure ISO 19115 Topic Category transportation publication date 20170627 Complete As needed NONE The NBI database, or any portion thereof, can be freely distributed as long as this metadata entry is included with each distribution. The original metadata entry cannot be modified or deleted from any data transfer. Federal Highway Administration U.S. Department of Transportation, Bureau of Transportation Statistics, Federal Highway Administration Samantha Lubkin mailing and physical address

1200 New Jersey Ave. SE

Washington DC 20590 202-366-1575 samantha.lubkin@dot.gov Federal Highway Administration Bridge and Structure page: https://www.fhwa.dot.gov/bridge/ en 20180906 FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time U.S. Department of Transportation, Bureau of Transportation Statistics, Federal Highway Administration Samantha Lubkin mailing and physical address

1200 New Jersey Ave, SE

Washington DC 20590 202-366-1575 samantha.lubkin@dot.gov Albers Conical Equal Area GCS_North_American_1983_HARN HPGN Geodetic Reference System 80 6378137.000000 298.257222 D_North_American_1983_HARN Geodetic Reference System 80 6378137.000000 298.257222 coordinate pair 0.002048 0.002048 meters Explicit elevation coordinate included with horizontal coordinates 1.000000 iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzt3QcUXEXVB/CXghFETQBFYy8gYhc0WFERC8WCHZWioiIiAmpE RcGC2IJiByuCBRQLVuxGxYKFKCgWUFFskRAJLQHznd+c/e8Z1kg8Jnzb5p6zZ3ffvjdvdvf+5/Y7 s1evXr26GwFauXJlN3v27G7mzJndZZdd1l155ZXdda5znXL8Wte6Vrd8+fLu+te/fjn3kksu6Tba aKPy2vRnzJjRf43y/oorrihjXn755eX9nDlzyvO//vWvck7Oq8nYrnHPjO151apV5ZhrzbGeT6PJ pdnDnsCFF17YzZ07tzBfGP/a1752+ezSSy8trzElZgxTBhwI8wITRp41a1b/GMLoNTBCGLwm93G9 exk71wOWYwFHDcwGjumgoQOkZjTMh9mzwmPKepWvz8W0aIMNNvg3hq8lSSQQGpQkJJVxrnvd615F 4nj2meOuyfnmd8EFF5RxgTrAaTS5NHSAYDagwGwkQCRBzfQ+w6gY9p///Gd3vetdr4AAc1588cVl lQ8YXBemzTmhQUniulrtMja1zjFzcF+vgcW5JM0mm2zSl1iuaTTZNHSA/OMf/+g23XTTq6hHkRpR sVBWeeBAGH/FihXdxhtv3B8r59bSBRMDjvG9R967h/ee//a3v3U3vOENC/MDHFAAWiSRcb3ecMMN Czi8JmVyv0aTS0MHCHCgpUuXFrWFivPLX/6y+8hHPtL9/Oc/725zm9t0f/nLX7rDDz+8+9znPtfd 97737e5yl7uUVf2iiy7qDjnkkO4xj3lMUX+++c1vljGe+tSnFub9+te/3m255ZaF6YGBioa52T0A MG/evAIGgPnjH/9YrgU4Y59xxhndNttsU+YW6RZ7KVKv0eTT0AHC8CYVNttss/Ieo77oRS/qTjnl lMLkmPUGN7hB96EPfah8bpVnB+y///7dCSecUEDyjne8ozA+pse8z3nOcwpDezCskeMkgJUfIJDx FyxYUAB49tlnl/d77bVXGf/EE0/sbn3rW3f77rtv99WvfrUA7Qtf+EL3rW99qw+sSJ5Gk0tDB0gM b4xOjbrpTW/a3ec+9+m+8pWv9FWsv//972Vlx+SYF6O/7W1v64MitkC9qgNC7JioUySB4yF2zfe/ //0CQhIImN71rncVOwSdc8453cKFC8v4X/ziF8uxN73pTd0b3vCGIk0aOCafhg4QFI8RhsekX/rS l/qu1zA0ewMBh/NjHwQcmDqqFCDECxYHgGcPKz9gAA91zlgokgYZJ2R89zQf93joQx9arqdqrSkm EidCKF602kW8bNmyIoVCvmOcE2uK0fzpT3/qbnKTm/TnmXF8H9fEiZCxfF9zjmpojrUTZDD+kzFj q3nENhyk+v7TQEMHCIbw5+aHx4SYHyNjAH+4PxthUg/kTwYq1zkHU2N4f268WxgnzBDp4tzYGTHW o5qhAM9zHgGhMZ/73Od2P/nJT8q1GPdmN7tZAYfxjRNwxCNmLuYcpnJf4AhIUZwHNaDMx3W+O3AE yMYxD2MHUHXcyPmJ/xg337uWpogkNtfTTz+922677frnGNPcgePCns0V72Dun9/H2LnXpNLQv10Y yw/vD/YHffzjH+9ufvOb9+MWmDpMmj89btmsiPEs1atxVk7M5Hyg86cDlfeROmszuBML8cxWIQH2 22+/7jOf+Uz3ile8onv+859fmDQ2j+8SoOQ9BnfvG93oRoXhsgC4hnQECo/aM4bZqZ7m6bi5+p7e u8a1WTyQMZ1TSzznZP7mYhy/C1vuWc96VnfMMccUlZGj41a3ulX3hz/8oTvqqKO6l73sZX0JUseR XOuR7zDpNHSAhP785z93N77xjctrDOWPYriHMZHVCuNFOtQrvlUcMyV+AQBRqaIyRfrEbsEwzg9A Ik0CxsRUXGcO7CNOhIMOOqi7/e1v3332s58tAOE9e8pTntLtvffeBQQkCyaNVywgAY64oFFsn9pV jfE8MHekpO9oxcfUkRK5JkzruN8mi0HsKJ9HQrkXYAEJkB9//PHlN33hC19YbC2/t9/Rb8++OuCA A7pnPvOZ3cMe9rDy/WpAJEY06TR0gOTPs1pFvfDDYwKeKy7bSA3SwR8bPR0TOIaB2AHIZ5FGKAyJ 0QDI+AFFjPwAJGpDKGoOwnwYH0N97GMf65/jXl/72teKS/m9731v95vf/KafQ7bFFluU+XBVH3fc ccV1/YAHPKC4q5/0pCeV8zA+gLn+aU97WnfXu961zAHQPKzqAA4cUQlJTufEm5a5e/gMk9cLRC05 XO87vOUtbynH/c75PXnlPBAnyI9//OMizX3HJz/5yVexXaYlBjR0gAwatoxDKy+67W1vW56TJIhZ PYfBY7hHD06+VjxSVlnnOH7HO96x6NtZcaOWDRqskSCRJpj797//fZkjyvmbb75599e//rUvHQD1 e9/7XrkXZnYvnwPoT3/603Kvxz3ucQWogHGPe9yj2C8/+9nPut122618R84JNg5J5Rgpxb38qU99 qtwTMLfaaqvusMMOK0Di6dt22227t7/97eV6AIqzQCzJ9Um+BLLc2zFSgwQU78kiUauJ559/fgEH qeK/yfeOQ2DSbY/Q0L+lHzzgoL5gDn+QP81Km3OysvsDo1YlUu7ZGOwWjBxmBg4rKNBgmDoXK16y qEDxVsULFiBaxSPRSCDXYELMHyCaX9QyTPqjH/2o//2M4f6Yip4vxkPKJF3m0Y9+dJEEJOOvfvWr 7tWvfnW5l/v84he/6B75yEf2Jecee+zRbb311t1ZZ53Vff7zny/jn3feeeX1ueeeW4BofOBiV+yw ww7dK1/5yhLredCDHlSkFHvJOeZpzMSa6lhRJNbWW2/dffvb3y7zWJPkiLo3yTR0gMQAxHzAEQ8N IuLrPzDMi+bPn9/tuuuu5dzvfOc75Q8Xt7jDHe5QgBZpEgKaqFmA4r677LJLCUhmzKS7JIkRSBNP CQC8N24MfBTAAlKkGntDADLjureYC8lx4IEHFp0+LmzfK0mSMgpyr/vd737da17zmsK4VvLnPe95 3S1vecvuBz/4QffRj360fAe22+Mf//gCNA4EzEySAR2XNA/Ywx/+8HJvgDjiiCO6u93tbt2OO+5Y xmZD+d1qFRRZGFb3vpd7xJUdR4j/ZdLBMRIAQaSDPyiel+RY0emthIsWLSrnxQAHJAbkD3/4w+7d 7353YS7pJ1QzUXcM5Q+tvTmYOQBAzjn55JMLQ1CXdt999+6e97xnsQ2oLFZeUsLn1BrSgjpiPAyd uAnwuLdVvVbX6PIBlvkJdianSzASk0Utir0Q1TGOCcet+O4lpeboo48u82DPULeSESDqHwY3BjBR C/N9H/GIR3Tvf//7y2vjyjQgbXjhgCPqYhaHzOv0008vx7i1qVtPf/rTy/zqZNA11dRMEg0dIGGi 2pULHBjMqmi1ZMBb/fx5zich6NBW6ay8PscUVrswTtS3l770pQVMUkaiQ7uGBCJBMAdDmbcGUVkc i/QCiiVLllwlvd59Y8dgoNg7yHUJUKZgy3V1UNLxBOZ8D7aXz+vzSYLTTjut/C4eD3nIQ7pTTz21 e+xjH1vGoUpRm3z3SDP3NRbnxkte8pJie33gAx8on/FM+V2l0Phd/SYA57v6TlGvUEC6QU9qk2z5 PnHzutekS5GhAyR6bAJR/kDqgT9TygkmoR5hkDC01dIqSs3gGqZWPPvZzy4MKl+Kjs+4pvMzVOnS pIJVMF4dxC6JlHH85S9/eTlOZUNRve5+97uX3K/Fixd3J510Un/upBWJQxVigBuL7s7bhWJLpM4k sRqGN3sjxrEVHYhzDaBQjTA+SejaSACLBQBY9SVzOsfcqT9+O3PiGeMx833vfOc7F/skv63fDsiA o1aj/L7AEYkQNXTlypV9470OPKb8YNJp6ADBEDGm/QHJb/LH//rXv+5ud7vbFWlBzeGxsdL7E7lL H/WoR/UNVR4h9IQnPKHvOq5TMEgHKhQ1JEan+26//fb9lZpqgmkxTm3DUGeoYwEMVc61xnKMyhSX cMARAsaoeL4LVc79gd53Z6cEHOwq3iN0//vfv3ipdtppp3Lepz/96TJ/tgTwuE/UIsyK+c2ZKofC 3JgYYBjsQBEHht8XAV+kYSL+cYrM7Hn7jOP+4jxrSj+ZZBo6QEJhan+2P4wU4d7050ZlASJ/dHTr qGYBB4rb1XiJEbiWRAECzPnb3/62JB3y0DBYJSKSEFyupATC/GG097znPUVftyJjVgBC7v2Nb3yj GMeYM14vxv+Xv/zlvioVieX52GOPLSoiYGDIgw8+uHzPOqXF3AXxAABDUh3FWoz54Q9/uICHVOC1 e/3rX1+kKcbPnF0fNdP8/B7US2Q+Pve9IpkBwtzjDs73vqxK1SFVgTAAqQOgk0wjAZD41JO9W+ch +SPqiK0/EuNQMZKQiJI3hFFjSOfPjWvYe5KIp+ve9753YQAqEc+Q1JF4lazkdG5xmA9+8INFRXM/ DApoD3zgA0sgzfkAZ6VVr8Jx4F5S4hOEq1dlwIhEY0eIWIvK+w7UQioet270/jPPPLNIOJKNKul8 KzmvlPwpiwlnQubp+7GHIulcZ76khd+FBEnAtc41q410FKkxq3IaoMw9wJh0cIwMQPIHRNTnWFSk pKEkyOcPjTs47kfgSMQ4hmP8/LEFcq5xU3+CQQTM3DsreNQcniluWYa+1dZYVlHSJ/XqMdhJApQA 5oMf/OCiIiUR03ureSLz7AeglvdEdeIxokryiPEwWakxNEZ1HxIMCKiZpAkpggAAIPwe1C8SNs4C uVaAxPvEjmK4i4E431zMCRiBks3iXrEzEifaoOdcMJ8sIGlsQWLVmcuTSCMBkIAiK2eiukkTB47E JXJOYiUYPnlKWdEifZJSbjwM5Nw6izbnYb7Xvva1xV16pzvdqagxdcpJvDXOZyBT6dg90fNT/puk S68DDszFLS0pkK0DmGIPr3vd67q3vvWt5btgbGNQ1SJN3QdgAk6gFYB88YtfXIBMLQMGAUBShfMA WEhHHipz5pgQ60A+5/SINHviE5/YB5LvgtnN17GoYauqvDFSU9oLAhTjTzo4RgYgNfljYo+E4XK8 Pqcm4Khp0PVIVcifWatrOc8fjhnFGjAIkNDvMREmxNiYxX2BZOeddy6GOwkV926SKL0GAipadHvz w1yMa0AQpHMuQLo3eyRZt5wPbA7ku1scVEySmu5lbCqgoKGSYHYRZwZwkG7sqzg+YiulwQQ7K78r UDhuDJ6/2BwobuWQhYU0DXjj6p0GGjmA/H9TUsEBAINgwn322afvwWLc3uIWtyhMKw0E41OL2AHs FqoHBsLYPkfOsRonFYbtAATiHVEbScBIMBLGCg4MjGFqFglCenqWKOi1cmBua5F4gONZYx8JpkqM FFgFZnYNV26ylROvMZfaGYDYOaHU0sSGW91zS/stHGMjia34vWo7cZJp6gFSR4WzQrJnPDADLxFw SOcApje/+c0lBUaQDhNR49gMmDhJfUDgXM8YGkDo/MZwTeyn1MhjtGQSiPMARVRIYNtzzz1LTMc9 qTbAeeSRRxaJZ2xeM/EP94xtle8ymJ1cF4Z5bX7mH6+X+cWIv+KKK8o8EtV/1ateVeIq7tdSTaaE avsnr62YJImsWcwqnUX8RYQdcLiLeaqcT1XBSJo71N1OZOWyO6SV85yxW5JeXzM/hgYO15mD+gvX CGICFalBBaJuUfuk3RjPg8rGy4XCsGyfe93rXv0M4DV930gQry0AjHVUe7OSoXxxr1IzZHHggSPx zHfS096nHiCxLQY7OIZh6foYFePQ68Un2B9iJ2kCQd1JtBppTcQA5/YV+ByMGWR1zmqfzGEkACjK jimBEyAkNgpGUueAIF496liYHYgkJzLkGf3IOUAYiRBVK+Ra3rfYUQkiJtdsds+rGGOdLSV3K67f aegqOfUAicGPCepOjCmeslLLCaPSIHEPaR8SAK3gXLEBByZ/4xvfWNStup4FBRzxuLlvPEYxet0T U7/zne8sLlrpM8am6kWauS8QMchVAZI2VDlGtOOkB6+WawQ46/KANJnw3nFMLgFTeS37iYqXMmW0 YS/FH/ldzN3iwHFBsiXBcpJp6gESqr0ySRqs09+TesI9y2inWmBEzOS1REIVgWIKjtU9gXmTMBuG BI64VFM2m7hDqvue8YxnFKnFiwZY+n+levLQQw8tkidMLPrPhSsXTGxESg17RMTefRjya6q5D0BI CkFPlHqaNNa7qJcdTAr6ztQr34t6yZGRTimTTFMPkKTW+6MTCEvaRTxcEhIZ55ga82JQgGC8c/Vi GswMHOnvleIs4EqFZDxZPnffqDJAULde9fp973tfuZ/4h/hI0ubZDJj+k5/8ZLGFqHxeU7cwLiZP iyPJnJjbvZI2Uhd2IZLGMZKEmoayGMybN68AUwYAtS5qqPv87ne/KxkIk05TD5C6YULdLqdO+Rbp plpgXkYxJqR6SQ/hRaJSyegFsGS4ZqzaiAWOwftG9Yq0GbyOxKGqWdVJCDYF6cKjhelF5L2WOoOB uaXN2biexUkkPMYGSXmB+4mBCCTGjiLB2Dmi7rxpy5YtKzEYYBBrITHTuDsLAEq2cq3G5XncaeoB sjZKex5MmHQUzSQY4pgEWDBTpARK47pazfpfyTgMY4CkSvGaSbCUGUyqiZmIfYias4dkMwNHctOA iq3EfvCIPWJupFPcz6QM+8e9xFSMMXfu3GKfuK/g6Cc+8YkiWXi2uHylvtRg9Dt5nXjLJNgoDSD/ BYUJkFVRXUpSNjAMRoqdkaZv66upAbUHw3EOUHWoTMAqx4oUIsHYECSOrF7qoFp+wcyodcBA8sSL Rcphch4sjA441EbgwNCKsKSs7LvvvsVdTaJE9WLfSKmn1ik3SPFWnA35jZoEmSJKW06qhNcYITGM JPfR1b1Oy871VY6KCSVTuh9wYF5NGDgESABzkUKC2bmVMS5ShCWoB7Bcv4CcNkSJprNzeOeoT7KA pf+7nzFJqsMPP7zvzvUdk12QeAmJAiB1T7PYbSOys986UwPIWihNG9L5MAwAHDGo47pFtS4eD9e6 EvsiKfEpCza+SLr3GFWkXZYxlUsKfLZuyLxE+Xm6GPjUKVWN7CrXAzWvFIMfmFzLm7X//vsXkLFF GPOItExHF9dL8oyxnlakk+TdagBZC6U1aIzv2mVKqgAJ1SOvc976YhDu3/S6kpDIXmAsf/e73y0g 0R9Lpi2AiJ6TBvKrpIOkiyJwATrg8GyZGxXNqm9830kE3rPUE+OLsSxcuLDYL4ATLx/AJUDq+5JC xk0rWJ4vnrnB7evGlRpA1kJp/5mUixikjvvzo2tHnar17vWhg0cixX0sQEdipBGDOhI1K44hdpHY iHklgznXmjuGZ5fI55I+Qxpg9KTrY36pJ/Kz5syZU6SHNPnUqLO/AIbUMR4Dnp1CrYxnrrZFxp0a QNZCdfZtKE3m6u0PMGCCa17X9fDrQnE5p0evrGExDys/tUhbINFzzJySWcVP3LeCe+lWgoCD5AAm xr/csjTAZvirg8HkVCfnzJ49u3i5qGZpFiFyj5IeL2dM9oAAqrF8/9xvErovjv83uIZpTUweBsgK We++GxVrfSbxxV0a7xgjnZeJNwmjytPibk7DCueyHxj3KO16YkOYP1UrHdoxtWpD4HAuqSBqjkgb XrK0Y6WWcQ7UzfScky2z0wRvUmhyvsmEUs3cKDUmSm/lX1nRxSPo/Vy+8rgY1KQMr5R4TSozSSCS JxsQJVsAkRg8WMYXXASCXXbZpVQsyvtSswJM6QiTHmXmIhVGMFXuGJDUPQPGnRpARpzSGC91Gkls ZEBT7QTyAIMEyeZAouKi31Qs5cTS9dPnWDEVAMTQpo5Ro5yDyX1OTQO6JUuWlGIsBVrGERcBHCBI aXTmx5slYq8pHXDUnr1xpgaQEafUmKSjI/JeJaE0EOW3yErOmyQ9Phm8Vnn5YYJ7DGqxDvGSeKB0 XRRYJCEY5Vy86YfFhbxo0aISdwE+jR/qdq4kEylFqhhPLIQqpt6ecyDbNYx7SnwDyBjQoFcI42FU 4MieIGm4QBUS5MPcAoOyegEDmAQXvZdwKb9LcRZQkCIYms3CayXGo7Zk1apVJSGTXRXbIl1ZslWe lBf2CvcwKVLvkzgJbYEaQEac6kTAxBWAI5H8xGGoRYx1KhBXsO4nmB4Y0raUdAAgahMJILGR5GFk SyfxnlSQpkJtW758eVGzuIPZGUCDqFpsHaDU7ILNwx5SUyJ1pW5e1yRIo2uUakO33vYs1YjpnZvV GqCoRZ6pO1JBtAwV0GO0A1P6hAFGPHCkAC8YiZFOlgsWLCi2jC0TuHFDwBE3L++XVH+FXVLxBTMV mBl3EtJNGkBGnNgTWYkTiKu3nU7vrWytYOUHDnaAtBOqkEpDKzxgOCdRf++pVFL12SCSFVHaj87q pdHUPbJSnlu3Sc32blzAHAOCl7KIxz2KjhpAxoAG1ZQ67lKrYIjqJAgoUp7gJhtCdF2gsN60NM8k C8AwxmUMY/50Wdl0001LFaNoeb2HIxcww11kPYVYQKJzI7Ax/MVckkGcBMnMNb0ARp0aQMacsi2z KDemBib5WRIbMbwo9wte8IIiUdgQ9kFkUItnsGmkqZAcrid9SIB0aznzzDMLQzPioy7FtavvVjqn MPwRhuf9yl7wnAdUv8wRBUjjAA7UADLmlK2kSZUE/rIXuyAiY91qLW6i6ElRFXBQh7hmgUAQMSns bBAxEflYCxYsKM4AXVIS70ipbsqTjSlXyxYOurFImhR0TC5Y3eo1G+9EIo6DEd8AMuYEHKlBBwR2 hYAdly7D2XGJjaSGqkQ2BdsAOKTRa1UKZFQi6peHjiqM76VLl5Z7pC8yorZl/xD3Vp/OJokqBRSR QmvqvFhvKDQOkfYGkAkgRnui1rxOJIS0+LRCtbLzLLEn6hwxMRDJj8ACFFqpxkZQVrzJJpsUQNV2 S7ZeQ+kKqS4+RnvSYMRUNLYIRVqkv3EaZI86NYCMOWWPE0SdSWM5q3kkgM9JgHQ3QZjT+WIfvF0Y mmoFKAHGBRdcUM5NdD37KqJsGprdrkgWn7kHQAlUes+bBZh1P+D69ahTA8iYE4mA4UgR6g2bAjOr 8mMPiKBjdNKC5wl4MDUQUMEAStUgVYkEofbEtTur52JOt/fYIcCQhnJeBzhUMVLCuRpJ2MeER03V Yo6b2zhVGzaAjDnFXZq9UETEqTDq1wX+SAlpJVyywEGlEkjUa0sloocOjAKK7BE9hNkWPl/Vi32k T5Zxs3EOUKgbYaDr+ihaH0ABWVqXUr94z1KMFUk0LttIN4CMOSWlI7tBJR1E/lU8TWpH9BJGoufc s3oHW9mluGNuJbeIusVgz9gIOGojHEBk/gIUySAlnnrGMSBrWKDROSQYF3OMco+4iVFqSEaZGkDG nNKZEbMx0O0ulYZ3SMKifT3sr4hUAGa/Eas5cCRDFwFS1KhLejUk9V6LaXCtJl5A0Dm8Y84TpARQ DoKoUmrkzQEBWb0B66iDAzWAjDnVHRmTlBjJgTCobicYOVvGeV2njzg/DfJybcCxQc/rRJWSyJgt rZF0eYmPwMhjpTZFSksAoGqRPaMVUVoHpavjuNSrN4CMOQEGFcjKziaoGT+NJdSa19umRSIwzqWW WNWzv3ryteLtWtUbi8qUunTkNWkl70qHR14t6pfiK1vYpXGEzyMpalAELKPu6m0AGXPCzEDAqJYq kmBhdqlNp3qSIZLCZ54Z72ImAQFGjqrlmjk9VS27TMnW5QY2DvewbGHp7nHbUt84BrIrLjCl6yQQ pl4/ABn1KDpqAJkAgGBsqkyYO+kdYVzMmdU6x5zDWM/mPQFRQOH1VlttVUDEgFeJyKjnPpa7xftF AiEp7qLy+mnpG8xlHEkjJ0x6iz1FULq+jAM4UAPImFPUFkyJwuBAk8AhewLFcOcStoLH4M4Ouwjj ZoxZs2aVjUGpbpg6nVK4il2bbRnEU3irlNwKTkqATCM5z9oLuaZWsaLGjfo+hw0gE0AAwM0axk6U O91MEsdI/bgaEOQ9EDiHGkXVqrdeO+OMM0qUnNfL1tVUKJ4qyYiM9uxIhdkFBdPVhP0hDT6tg9go JJHqxqhZafo96tQAMgFEjcHs8S4BB8ZNzCFNp3MMOT+FUyi2SpIJ0axZs0oDa43jlN4CkepEgFPe q2ld2v+oMsxmRGrlRdBlCGf/R/UkIvjiLq5h0I9DB/gGkDGn7HNo5bd6Y+6khSRvKlsWxEahYkWK hJIRXHu/Lr/88mJrcO9ma2t7JKo3ASxNGqSUcOMKRgocBqCOp5E1kl5vHikRDphGnRpAxpwwmfp0 O+HKwA3FC0XHFxn3TL3xOuAABKqP4qi4daWoOIaRlyxZUlZ+9/AAsMWLF5coPQZHJEokEclBvVKo lW2kEzeR5mKOGkAMZhWPMjWATABhfKs55hTdRpiZ3SCrVu9e75NCgsK4Aok1OYdb1pgrV67s78Yb r5iGclQs6pM+XCoWqU36byGeLMa8pEnkHoAIYCL9XgNrehrX5cOjSA0gY05WaQxHvxej0JLHCs2D RB1Sm07lyS65zqUqYdzaDmETYFrgcMzz7J6KlOpD742vQ0q2SQAe96E+uad95RnlXMHGNy7PVrJ/ Gflq4JMUOerUADLmlMQ/9gPPkZ5WCqQwJyblhUKxPzzHBgGUxD/i8gUgY8V+2XvvvUscA4gkOjo3 21gni5h6xuUrbgJYkVSkDHAZKx3wBTOBY03VhqNIDSBjTrEdMCwpIlAHIJhfxm69q23Ojw0ScHC3 Oh5DPMHEuXPnlrGkrCPtgdgRsnbr+nLjAIq0edLE8Tr4CBgAAlhAI2bDqG8AaXSNU5q8YWqrMyM6 hneCf3HdekgoFLNgD+jCaDVn5Av2ZS/15HNdeOGF5XnPPfcswT6qkUxd54qeU7sAQ4o7VYvalZiL PRJnn44XAAAO/ElEQVQVacnXSv9gKpXGEGpT5Gytrz1UrklqABlzwmSJNUgD0TDhtNNO+7dAYDYg TZ16CJCoV4mVpFF2CrHOOuuswuRsGN4pHRbZGJpee62JNilDajDESQVjAauO8DJ+qWZxRZuDtJjB /Rvr7dp8J69HoZiqAWTMKUwWht59990LQKzaJMSg1yqJjEl9d03AQaXCwCRDOsSvWLGif63rSCrn CBS6JyDEvnGOMbmKebWoVs7j5UJpV0r6yOsiyUggc0rchuoWcIxCxWEDyJhTdp8KiVuwMUiFY445 phzDZAFB7AvMSBXDzIqfMDOVip2AMdkK559/ftnvQ5UhNco4SWTkmfJZ7Bmlvs4nLcRPjI3044ot EnuIOxoYpbLov4UCSOcmup9EymFSA8iYUxio3mAHU2rWEM8UwtxZnZPCDjTSVFT8aTbHfnGO+nSq 2qJFi0qqiZZB9QadwAUw8rEkKEpO5Fq2LyJbRRo8g51k8FrhFGlBGqWZHKmTKPtgE7kcH4WM3waQ CaJk0GJCu0xFnYqKBEw+B4K6QbVgoQfmp/4AGyAtXLiwvBb3CAEKY1wKvJ2qtCW1pQKghWT8UvVk AasPkeqeLdlq0FLD4vZN31/zGaX8rAaQMafYHqSHFTcSBfOJdCtoyhbWWZmdw45IukiAhEll7PI0 DeZqzZs3r7/hjipEbU1dx6ZwviYOjHkqmziI3r1iKNJfSKaoWSm9TcGUjF8ASSHXqG0COjozafQ/ UYzYujgqRUlcsjxOgoUAgSHFIHie0q+XihRpguGBRjKi7ojz588vD/16qWG6l5BOAAB8goMYnFTh rRJQNB/eLT2Blfpuv/32xY3MZhGFV4mYhnbUKqkrW265ZZFK5lcb5aOQ7dsAMuaU1Tb6upU5Bje3 bD6PagUciNpVb4pTSxgNGBRAza5WcnaIKD17gpQAEIY4SSM4SQ1zP5m/VC45Yc6V/kI6qBWhTiXK HkknE1gAkg2U3l5sFEBpNkij9U5hvBQj2a9Dx8R8Vkua2nj3PnUgJ554YpEAl/bSQUiiU045pYCP KiUjlwcLQEgNAURE0kQykBZskHikqGQIEKhqABbiJSPh4tYdJTukAWTCiS1i5WdE1w0dSJREvWMT YEopINy07Iz58+d3J510UnnYrHO33XYrjRuMQX3SsYSUAca4lKlrpBOpQLJQwdSG2IRnm222KWB1 f9Lk5JNPLtKCEc9WAcSoWZnPsKkBZMJJfhaXLGZNrysrdDqeIO+pQT5ncCegN3PmzMLUmsGxVTww rmfqFJVIVFzsg+0CgMkaTvd29yM1NIgASu+l39dBTCQLwH2pbOwc1ybyPkxqAJkCIglIEi7Z7GmI 0tgB0x944IGF6alHSmylryNSQtQbcLh1GeQYOOCQrYupqW6JlUStchyj82IZ0zVsIx1QeLlcA1gk GdBJhTenqH/DDhKiBpAJp+RIHXnkkcVFK2+KZFAzjkEZ31Z7BrUUlZTFOufcc88txnVcvhgZQ7NP fJ4VX6d4kgqYBAwBxFZvvFwkFdWJt2qPPfYo76lXjgkmImoee+X444/vZ/jWuVnDpAaQCad4gsQa uHUPOOCAsm0zTxW7gDRJsRNpwMVrdyn5WCtWrCiMz67IFgs11TtF6YOlTxZ3rWg6CSHoqKoR4ycj 2DjiJcAKTAEfz1c2+yTRRgEcqAFkCgizY377CWpkLYOX0R0VRkOH5EnptKhbCdpss81KTCUShZ2Q xEQqF/KZGhF5VVLo7WdI0nAFu29Kdhny2gUBVYxwoEqU3xzYMoCcvKxhJyqiBpApIODAcJiUR0kt BhBg0Lh5MWzdZI5atnTp0rKRJ0Axqr0++uijy+pPhdLqxzEuW/lbmJ9qRHLocEK6iMx7BjSqGCAI DFK/EHCkPSnViyRJgHAUQNIAMgVENeINorbIiZIfRaXicqWCpQNjpENW/Rj47BOqEzuB25aRzaZA Vn3brMUtLLkRQORiGVPbIEa+SLySXGAFJCBh4yDgQEAawKJhgwM1gEwBpXMIpgcCNoe0EUybJMU0 tE46e/YHOfvss/vbF5AWVnttRJ0jai5YqN5DxFwaC3AIJPJYcRGLdRx33HHlfvYocZynSgYwlSwe L+Mnkh7bZjCVfxjUADLhVDeSAwCqE0YV2KPukBbAYBUHjiQ+crseddRRJWh40EEHdccee2xpHYow 9V577VX69hojWyOIqmerN/XwPGB2mZKGol5E9D0FXmIhIvaRGGwP6hXy3vEmQRpd41TnNKWtD8YW 0xDPSO15Op14j9ll4p566qnF8wQcev9q6UNtIg3kWrFNanVMOgowCQpSq7iQReaNATwhto+0lPQK Bjj2SSTIKETQQw0gE05UFAycGg8qEmaXfcvNyzbhgrU7FSnjPQaWzbvFFluUoikqkxhHyDZtxhRY BAK1IUBIWlCdGPTcx8CiL5f3VC95XNQmwAPSNJVAqSRMiglgA+uw3b0NIFNAdYSbUc1QFuyTL8Xd K/tXWrr4SAqatttuu9KZRLRcq1F2hypDhjpwYHIxjn322adEye2cK/AnC9g1AOe+JAXwAKFxqFi8 XtSy1I6gGgiRIMO2P1ADyISTVTrbILA14vLF5EARsoe61Z8qhEHZIPPmzevXipAgpIDxGP2Me56t dC4hZVDakLIxAA+Q3NOD5GFncP2aU72bLjCRGvUW0aNQODX8GTS6RimbcwJH+lBRXahagnzZu9Dn DGVN4uLRWrZsWT/1/Igjjig2B8YFDCqYYCFJRBIgdec+Axi2heOMefcRZCS9qFai9WyYtBdK2gpK ND2u52FTA8gUUFSVeJDCjHWRldVbjCQ1IfForeoVUalMxOBIsFHDhrpTSTbjlA6vobXrqGRq48VO SCKMf8ghh/QrCuOlci+GP3KdeQFH3chhWNQAMuVEzbHSY0yBQ9HxpH/suOOOxQNF1VK2m16+cRdj 8IDGGKliTE2ItBU2CIB6z74BDoDkQfM+BVLZear2YA0bHKgBZMop6hH1i21h1cfU1K3ly5eXpEZ2 BFcvhpbLpX2pGEe9hVodBRcbEYx0HXXLeNQvkiVbK8QZkEBh6j6yK9YopJmgBpApJ5Ij2yJgXOqT 1BL1Ieedd17/PAASNScd1LKTFNy6pAmmD1iMBRycAiQQJgdCUXj3ElnXOI5KBkyJ3EdFCyhiiww7 JtIAMuWEMT2y/Rp1Sq1I3fpz9erVBRRcwgggpJlw7yLgoDpRo8LoAJXWQtQxQDjssMNKrlbUp/Tq qvdMr4Oao0ANIFNODOFk8iIxDMyf/dd33nnnkqYuGVEKCcLwGjVQteRTiadkCzZSBYmMA0ViMBhf BnEyd4FDxD6Jij5PDlZoFNSsBpApp6zYmNlDvIJqJQv30EMPLQwPRAcffHCJjWSjUF3fPbyWU5Xe V2pDGPoAwCuGgCC7YHnNQKeCJd0eBaBJdW9NGxqNDGFytoQHpqVmiVOsXr2675FSiUj1EgCUyi5z N10VSQ4pKRha9aCgIjBw70papIplY0/EQI+kqDfZqaVHS1ZsNDJUMya1JzRjxowCDqs671Y25gQE nU7qFZ59oT2Q3adEyuVfAQKj3HlUt1QhBhTJt1Ivr/NJ3Ukx6tawpUgDSKO10syBAibvcyzN5dga 0kwY5cAkpcT52g1R0UgTbl6UYGRcvEAImM7P3iWjEANBDSCN/iuaWYGiJuCIS5ZqploxsZWQpnXA kQAkTxdjXZoKtcs1GTsNuNkgo5CP1QDSaL3QZT23bmo60niO9Ehae52+ovxWsLEOEA5uyzZscJQ5 DHsCjUabVl+Nq7UO5iVdPXGQOu/LNmy1XZFdcYEDkNge7pFronqNAjWANFonmtEDT9QiEiMuWxKB 1JASj6SysDGcwxuGApjBMY03CrvgNoA0ulqacTWu1kTZIxkwdSQIckyZroTGFEfJ8XKdvRRzDgkS FYs0GjYoamoAabRONGPGjCIR0hC7lgakhzJbXU1SHCWGImuYShb1Lbvtxh4BFOONAlAaQBqtM23Q y+UaBAcG11BORjAPFrtDvYi8LqW7+vOiQSDUUmjY1ADSaJ1oRZWMSD1iNzDM02NLhNxD6rzWP+Ih gGKjT2W+w97eYG3UANJonWjjXjJivFhUKeW11CfHxD0Ah4GucYMevlQoZbejDg7UANJonemKXk9e vbTUk2hgTWoAD9VKbTvP1q677lpyuiQqOndUtji4OmoAabROdGWvPSggKJAiKWQEY/4Y4VQqeVme 1ajrt5WA4qhTA0ijdaJZs2b1I+R6ZGn5g9L8jXQhMUgWae56Y3keF2oAabROdElvH8F0IEkeFsAw zHmoeK6kw9vNVjFW9gepKwlHlRpAGq0TbdQztAc33RQxBwDN6RjmbJATTjihn/qu4nAUOieujRpA Gl2lDmPQtri0l84eqkGQ11y9bJAcVzWoo4kt35TkioWoF9HdnV0y6lKjpgaQRldp0DBIG/bAodJQ zQYQJLUkgOCtyjF9dxnqGs0Bh/6+OqToiAJIqR1J98RRiJZfHTWATDmlsm9Q3cn7lStXls+BI1KF isTWiB2hht0OuRpW63+FtCqV0r7DDjv0jXLAiERa0z1HkRpAppySQ4V0XLeiU7kSCZ9TxSmcK49K NxN2BbWJV0pwUNzDs2pC+xiKkkdtAyhqFYAYPyAZpZSS/0QNIFNOqQvHrGn/idF1KZkzZ063ePHi 0tFE2x/Hna95g/0Fk+KOnGsLBMmJVC8gk3bifAa5eyQtBThGIZX9v6EGkCmnuGcxul1mBfKoT6Lh ++23X9nRliQQ2ItbVp9epIwWIIxh/xASKHZJ0tYBAQEgsMQhEEk17KYMa6MGkCmn7B2CsYFDRxLN F84555z+dmwMdBvjaB9qewN7g0g85LkKMbpj0It/MNTZN4DAq+U9Ix5gUiQ1SpWD/4kaQBr1bRAS wv4gdrbF7Ntuu20J8ilyYluEAMMjWyPEZgnDZ1fdNIDToGGw2jB7k4w6jf4MG13jFEZlU+y0005F eji2+eabrzFmEVtl0MgefF+rT8au4ynjEgtpAGl0lZWcqsUGqXd9mmZqAGlUqDaYa9ti2qkBpNG/ NV8Ireq5f6eZGkAaXSU9vZYkM0fcBfv/Qf8HdW4QAgxvY48AAAAASUVORK5CYII= ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 This data is intended for use with a Geographic Information Systems or Remote Sensing software package. DOWNLOADABLE DATA The 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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html Florida Geographic Data Library (FGDL) mailing address

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 United States Web site: http://www.fgdl.org Technical Support: http://www.fgdl.org/fgdlfeed.html For FGDL Software: http://www.fgdl.org/software.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html 0.211 0.211 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 This 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. publication date Spatial and Attribute Information FHWA 20170627 National Bridge Inventory Washington, DC FHWA https://www.fhwa.dot.gov/bridge/nbi.cfm Unknown online FHWA The GeoPlan Center took the following steps during the QA/QC process: - Downloaded the dataset from BTS on 8/23/2018 using this link: https://www.fhwa.dot.gov/bridge/nbi/disclaim.cfm?nbiYear=2017/delimited&nbiState=FL17 - This dataset was originally in the form of a text file - The text file was exported to a .csv file - The .csv was imported into ArcMap and converted to a file geodatabase table - Two fields were added to the table, LAT_DD and LONG_DD. These fields were then calculated using information from the LAT_016 and LONG_017 and the following formulas: Left( [LAT_016], 2 ) + (Mid( [LAT_016], 3, 2 )/60) + ((Mid( [LAT_016], 5, 2 ) & "." & Mid( [LAT_016], 7, 2 ))/3600) and Left( [LONG_017], 3 ) + (Mid( [LONG_017], 4, 2 )/60) + ((Mid( [LONG_017], 6, 2 ) & "." & Mid( [LONG_017], 8, 2 ))/3600) - XY locations were displayed using the information in the newly calculated LAT_DD and LONG_DD fields (the WGS 1984 geographic coordinate system was used as the coordinate system when displaying the data) - The point event layer was exported to shapefile to preserve the spatial location of the bridge data points - Dataset projected into the FGDL Albers HPGN projection using WGS_1984_(ITRF00)_To_NAD_1983 + NAD_1983_To_HARN_Florida. - NOTE: significant changes were found to locations of features. These changes were often large, exceeding a couple meters. However, upon inspection, it seemed these changes often improved the description of the physical location of the bridge. The most dramatic shift noted from prior data upon general inspection was 7071 meters - Three features were removed from the dataset because they lacked accurate spatial data - The fields FEATURES_D, FACILITY_C, and LOCATION_0 were edited to remove tick marks from the attributes. The following calculations were used: Replace( [fieldname], "'", "") Trim( [fieldname] ) - DESCRIPT field added based on a combination of the FEATURES_D, FACILITY_C, and LOCATION_0 fields. Any records with no data in the FACILITY_C field had their DESCRIPT field calculated as 'NO DESCRIPT AVAILABLE'. The formula used to create the descript field was: [FEATURES_D] & " BRIDGE" & " [" & [FACILITY_C] & " - " & [LOCATION_0] & "]" - FGDLAQDATE field added based on the date the dataset was downloaded from source. - The longest record for each field was found and field character lengths were shortened to the appropriate shortest length possible. - Uppercased fields and appropriate records in the dataset. - Layer name changed from FL17.txt to bts_bridge_jun017.shp. - After contacting the office of bridges and structures for missing field definitions a number of fields were removed as they were deemed obsolete. These fields are listed below: FED_AGENCY DATE_LAST_UPDATE TYPE_LAST_UPDATE DEDUCT_CODE REMARKS PROGRAM_CODE PROJ_NO PROJ_SUFFIX NBI_TYPE_OF_IMP DTL_TYPE_OF_IMP SPECIAL_CODE STEP_CODE STATUS_WITH_10YR_RULE SUFFICIENCY_ASTERC SUFFICIENCY_RATING STATUS_NO_10YR_RULE withheld 20180823