National Standards and Support Team U.S. Fish and Wildlife Service National Standards and Support Team 608-238-9333 608-238-9334 505 Science Drive Madison WI 53711 US wetlands_team@fws.gov 20160707 ArcGIS Metadata 1.0 U.S. Fish and Wildlife Service National Standards and Support Team 608-268-9333 608-238-9334 505 Science Drive Madison WI 53711 US wetlands_team@fws.gov There is no charge for the online option. Requests for large amounts of data are handled on a cost reimbursable basis. ArcREST KML FileGDB Shapefile OGC:WMS Flex http://www.fws.gov/wetlands/Data/Mapper.html http://107.20.228.18/ArcGIS/services/Wetlands/MapServer/WMSServer?request=GetCapabilities&service=WMS http://107.20.228.18/arcgis/rest/services http://www.fws.gov/wetlands/data/Data-Download.html http://www.fws.gov/wetlands/Data/KML/Wetlands-Data.kml http://www.fws.gov/wetlands/data/Data-Download.html http://www.fws.gov/wetlands/Data/Wetlands-V2-Product-Summary.html http://www.fws.gov/wetlands/Data/Mapper.html http://www.fws.gov/wetlands/data/Data-Download.html File Geodatabase Feature Class CONUS_wet_poly U.S. Fish and Wildlife Service U.S. Fish and Wildlife Service Washington, D.C. vector digital data Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31. This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. The present goal of the Service is to provide the citizens of the United States and its Trust Territories with current geospatially referenced information on the status, extent, characteristics and functions of wetlands, riparian, deepwater and related aquatic habitats in priority areas to promote the understanding and conservation of these resources. U.S. Fish and Wildlife Service National Standards and Support Team 608-238-9333 608-238-9334 505 Science Drive Madison WI 53711 US wetlands_team@fws.gov Indiana Louisiana New Hampshire Nebraska Oregon Maryland Tennessee Utah Texas Saipan Alabama Arizona Wyoming Georgia Idaho Nevada Colorado Hawaii Connecticut South Dakota District of Columbia North Carolina California Minnesota Massachusetts Illinois Pennsylvania New Jersey Kentucky North Dakota Missouri Vermont Delaware Mississippi Virginia Maine Rhode Island Puerto Rico Alaska Florida Washington United States Wisconsin West Virginia Arkansas Iowa New Mexico Kansas Montana Ohio Guam Virgin Islands Oklahoma New York South Carolina Michigan Surface water USFWS Wetlands Swamps, marshes, bogs, fens U.S. Fish and Wildlife Service National Wetlands Inventory Deepwater habitats NWI Coastal waters Hydrography oceans geoscientificInformation inlandWaters environment ISO 19115 Topic Categories Indiana Louisiana New Hampshire oceans geoscientificInformation Nebraska Oregon Maryland Tennessee Utah Texas Saipan inlandWaters Alabama Surface water Arizona Wyoming USFWS Wetlands Georgia Idaho Swamps marshes bogs fens Nevada Colorado Hawaii Connecticut South Dakota U.S. Fish and Wildlife Service National Wetlands Inventory District of Columbia North Carolina California Minnesota Massachusetts Illinois Pennsylvania New Jersey Kentucky North Dakota Deepwater habitats Missouri Vermont NWI Delaware Mississippi Virginia Maine Rhode Island Puerto Rico Alaska Florida Washington United States Wisconsin West Virginia Arkansas Iowa New Mexico Kansas Montana Coastal waters Ohio Guam Hydrography Virgin Islands environment Oklahoma New York South Carolina Michigan Although these data have been processed successfully on a computer system at the U.S. Fish and Wildlife Service, no warranty expressed or implied is made by the U.S. Fish and Wildlife Service regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. No responsibility is assumed by the U.S. Fish and Wildlife Service in the use of these data. None. Precautions - Federal, state, and local regulatory agencies with jurisdiction over wetlands may define and describe wetlands in a different manner than that used in this inventory. There is no attempt, in either the design or products of this inventory, to define the limits of proprietary jurisdiction of any Federal, state, or local government or to establish the geographical scope of the regulatory programs of government agencies. Persons intending to engage in activities involving modifications within or adjacent to wetland areas should seek the advice of appropriate federal, state, or local agencies concerning specified agency regulatory programs and proprietary jurisdictions that may affect such activities. Acknowledgement of the U.S. Fish and Wildlife Service and (or) the National Wetlands Inventory would be appreciated in products derived from these data. Wetlands and Deepwater Habitats of the United States Version 2 - Surface Waters and Wetlands U.S. Fish and Wildlife Serivce, National Wetlands Inventory U.S. Fish and Wildlife Service Washington, D.C. USA Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959 144.599995 -64.549579 13.166674 71.99633 ground condition 1977-01-01 2016-01-01 Digital wetlands data are intended for use us with base maps and digital aerial photography at a scale of 1:12,000 or smaller. Due to the scale, the primary intended use is for regional and watershed data display and analysis, rather than specific project data analysis. The map products were neither designed or intended to represent legal or regulatory products. Questions or comments regarding the interpretation or classification of wetlands or deepwater habitats can be addressed by visiting http://www.fws.gov/wetlands/FAQs.html These data were developed in conjunction with the publication Cowardin, L.M., V. Carter, F.C. Golet, and E.T. LaRoe. 1979. Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31. Alpha-numeric map codes have been developed to correspond to the wetland and deepwater classifications described. For more informtion on the wetland classification codes visit http://www.fws.gov/wetlands/Data/Wetland-Codes.html. The U.S. Fish and Wildlife Service uses data standards to increase the quality and compatibility of its data. The standards used for the wetlands data can be found at: http://www.fws.gov/wetlands/Data/Data-Standards.html and include the FGDC Wetlands Mapping Standard, FGDC-STD-015-2009. Note that coastline delineations were drawn to follow the extent of wetland or deepwater features as described by this project and may not match the coastline shown in other base maps. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant and Content Standard for Digital Geospatial Metadata (CSDGM) file is intended to document the data set in nonproprietary form, as well as in Arc/INFO format, this metadata file may include some Arc/INFO-specific terminology. None None Polygon and chain-node topology are present. Every polygon has a label. Polygon and chain-node topology are present. Every polygon has a label. This data set represents the extent of wetlands and deepwater habitats that can be determined with the use of remotely sensed data and within the timeframe for which the maps were produced. Wetlands are shown in all of the 50 states, the District of Columbia, Puerto Rico, the Virgin Islands, Guam and Saipan. The accuracy of image interpretation depends on the quality of the imagery, the experience of the image analysts, the amount and quality of the collateral data, and the amount of ground truth verification work conducted. There is a margin error inherent in the use of imagery, thus detailed on-the-ground inspection of any particular site, may result in revision of the wetland boundaries or classification, established through image analysis. Wetlands or other mapped features may have changed since the date or the imagery and/or field work. There may be occasional differences in polygon boundaries or classifications between the information depicted on the map and the actual conditions on site. The source data was checked using standard review procedures. Attributes were checked by using visual inspection as well as automated verification routines. Quality of the attribute information varies with age and mapping protocols used when individual maps were prepared All polygons are attributed. The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived using an ESRI Data Model with 481 logical and topological processes. Linear NWI features retained their original NWI Code and were buffered to specific widths based on the following rules: Palustrine = 6m, Riverine Perennial = 8m, Riverine Intermittent = 6m, Marine, Estuarine and Lacustrine = 8m. The NHDFlowline features were buffered to the width based on the FType field using the following general rules: CanalDitch = 4m, Intermittent = 6m and Perennial = 6m. The NHDFlowline features were coded with NWI Codes based on the following general rules: CanalDitch/aqueduct = R5UBFr, CanalDitch/all others = R5UBFx, Intermittent Stream = R4SBC, Perennial Stream = R5UBH. Further refinement of the NWI Codes was implemented based on spatial intersect with known NWI features and specific FCode information from the NHD dataset. Topological modifications were conducted to remove overlapping features. In general buffered NWI linears were clipped into NWI polygons and both the NWI polygons and buffered NWI linears were used to erase buffered NHDFlowlines. Further topological refinements were conducted within the the buffered linear feature layers based on intersections with known NWI features and using a hierarchy based on NWI Code Sub-system and Water Regime. For more specific information on the logical and topological processes involved in deriving this dataset visit: http://www.fws.gov/wetlands/Data/Wetlands-V2-Product-Summary.html The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data (high resolution NHD 931v210 or 931v220), buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Original stable base hard copy maps of wetland and deepwater habitats were created based on USGS state and quadrangle boundaries. These maps were converted to digital files using various software packages (WAMS, ARC and others). The digital files were stored as ESRI Import/Export files corresponding to a single 1:24,000 USGS quadrangle. These digital files were imported and converted to ESRI Coverage format and checked for topological and attribute errors. All coverages were converted from a UTM map projection to an Alber's Equal Area map projection and the horizontal datum was converted from NAD27 to NAD83 were necessary. Polygons attributed as "Uplands" were removed from the dataset and polygons were merged at quadrangle boundaries where the quadrangle line divided polygons with the same attribute. The data was loaded into a seamless SDE geodatabase for the conterminous United States. These steps were conducted using both Arc Macro Language (AML) and ArcMap editing tools. All point data from the original ESRI Coverages were buffered by 11.28 meters (1/10 of an acre) and incorporated into this polygon feature class. Further data improvements included the conversion of all old wetland codes that contained 'OW' to the new code containing 'UB', 'BB' to 'US', 'FL' to 'US', and 'SB' to 'US' except for 'R4SB' codes. Old Water Regimes were also changed, 'W' to 'A', 'Y' to 'C' and 'Z' to 'H'. All polygons labeled as 'OUT', 'No Data' and 'NP' were removed from the database. 2004-01-01 This dataset is continually updated in various areas of the Nation with wetlands data from the USFWS, other federal, state and local agencies, tribes, non-governmental organizations and universities. To identify these updated areas review the Data Source layers on the Wetlands Mapper, Projects Mapper on the Mapper homepage, or the Wetlands Project Metadata featureclass that is included in the data downloads. The Wetlands Project Metadata feature class may also include a URL to link to a document that identifies project speciic techniques, source imagery and conventions used for that specific project. All data additions comply with the the FGDC Wetlands Mapping Standard, FGDC-STD-015-2009 and the Wetlands Classification Standard, which can be found at: http://www.fws.gov/wetlands/Data/Data-Standards.html. Spatial information 0 Wetlands and Deepwater Habitats of the United States U.S. Fish and Wildlife Service Washington, D.C. U.S. Fish and Wildlife Service National Wetlands Inventory Maps ground condition 1977-01-01 0 CONUS_wet_poly Reference: Cowardin et al. 1979 U.S. Fish and Wildlife Service OBJECTID Internal feature number. ESRI Polygon 2-dimensional element. ESRI GIS software Sequential unique whole numbers that are automatically generated. SHAPE_Length Length of feature in internal units. ESRI Positive real numbers that are automatically generated. QAQC_CODE SHAPE_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. ACRES Area of the polygon in acres. Calculated in an Albers Equal Area projection using ESRI's geometry calculator. GLOBALID ATTRIBUTE Alphanumeric code identifying the wetland classification of the polygon. http://www.fws.gov/wetlands/Data/Wetland-Codes.html The wetland classification codes are a series of letter and number codes that have been developed to adapt the national wetland classification system to map form. These alpha-numeric codes correspond to the classification nomenclature (Cowardin et al. 1979) that best describes the habitat. (for example, PFO1A). Currently there are over 7,000 code combinations in the dataset with over 14 million possible permutations of the code. For information on the wetland codes visit: http://www.fws.gov/wetlands/Data/Wetland-Codes.html. WETLAND_TYPE General description of the wetland based on the Cowardin wetland classification. http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Estuarine and Marine Deepwater Open water estuary, bay, sound, open ocean. Estuarine and Marine subtidal water (E1, M1). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Freshwater Forested/Shrub Wetland Forested swamp or wetland shrub bog or wetland. Palustrine forested and/or Palustrine shrub (PFO, PSS). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Lake Lake or reservoir basin. Lacustrine wetland and deepwater (L). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Freshwater Pond Pond. Palustrine unconsolidated bottom, Palustrine aquatic bed (PUB, PAB). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Freshwater Emergent Wetland Herbaceous marsh, fen, swale and wet meadow. Palustrine emergent (PEM). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Estuarine and Marine Wetland Vegetated and non-vegetated brackish and saltwater marsh, shrubs, beach, bar, shoal or flat. Estuarine intertidal and Marine intertidal wetland (E2, M2). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Other Farmed wetland, saline seep and other miscellaneous wetland. Palustrine wetland (Misc. types, PUS, Pf..) http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html Riverine River or stream channel. Riverine wetland and deepwater (R). http://www.fws.gov/wetlands/Data/Mapper-Wetlands-Legend.html SHAPE Feature geometry. ESRI Coordinates defining the features. dataset /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Ju3F Ckk4xj8aac5AJp2D2NZlCjpUbctxTtpIPNIEx370AOX0I5ppx90CnAHJ+b9KQL3zQAYGKASRilIx 3pdtACDFPiOJAKYBxjNOjH7wU0IsAcmlXofqaQKc9aTB/vetWIXGMDNOqPByOTTtp9aABOR+JpSc 4qJMqpGc8n+dPB96AEmiSVCjglSMEVQ+xsh/cwRbAfl3Mc1o9QMnrSAY43UgKMtq7yDMMTbvvZY/ jQ1ifLG2GHdtxjJ61cKL5gbJJqTHvTApJal5cyRIFx1BOeOlW342/UUv41FKOEH+2KQE/OeelRkf MeO/pSlsdT0pAc/xdaYDZGLEKBzSbWUHpjr1p0p2AEEdaQn5l5BzSAQMTgHGetRXk5gtTKEBYHoT U20E5yM1BeRCaEqzMM9MVLvbQCra3QvWYkKhA7HOf0qwMLwP/wBdVbezFuSyuxP+0auICyZbrSje 2oK/UY+NhwO1PxyKjYk46cmlLNimMQnHB6U2RxFEz8kjnilC7vvUNCsuEblTSEVo9WUrzA3Howz/ ADq55iTWLSAFdyngnkVTntLKNnIEe8dicUySUw2hVREgPGA3rQkBqptS3Q56KOlPJUHnJzzxWbHP KqCNxFgY/i7f/qqV7548K7QqcZwWqrATkg/X6UgbGKUAAj1peg4FSUIGGO/X0pCQccHrSKwA5POa ee1ACDCg8UoNB6UinigAz0oY9KU012xjrQADkd6kiPzjNRoRtz609CC45prcRZ3D3/KkDDGKFbNM EZ8wtnvViHdCP8Kdu9j+VI3GKdQBBkc9Ryeopx7f4UL9R1PFP59qQDMngEH8qVehp5NNGSTwOKAE HUVIOaaCM4HWldgBzQAwtgtgZxTZZNoTIP3h2pGJ2lgOT2FDt8qZB+8KLDsHmRFySR07imSEbNy4 x9KZIgBJ7VHz05IpCFHP196C3AGCDnrSkk4xxSMxJ569qQxQCuRikeVlTnNPJJj/AANRDpgjj3pi HxncM84+lIXG4gEkjtTlJwccGkIzySM0DIgx3gBCF96k4xz6VXluIopGDyBSMZzTUu4nPMoOcAUW AsLIh71Ig3HrioGjIOcVICQcZIqbsQrLExYtGp9cjNVPIL3UatsZRl8benpVr+EnPJqBGYXEhHYB f607gTG1bKtuQ565WpVgQIolRJHA5baKdGwIAPPFSbRQBDj5s5oDHOM1GVZD+7Y49G6U0SDcA4Kn pyOv40iiVhkZz3/rSnIPWkOCMAD8qAw9eaAFwc8UoHHWk3r6igMPWgB2D61FvJPNPLAjiomDbv8A CgB6ZIqaMZcVRFruzmWZf91vf6VPDEIpQweVuMYJzTQi9jA61H5hU4OceopHLcFdx/A0iA9Tn8jV CJGycENxQWYd+tIGGcBT+VLuDH7p/KgBqAnPuTzj3qTbjHNIjDaeD1Pb3oaQDHB/KgBwUg9abgjJ zSmQbc8/lUYkUHnP5UAPAPemMGMh7D1xT/MBHQ/lUTv8xOc/0poBWO2L5csBUbtnCk8DB4p3mgIV UMce1QS/dWMox3HJqerGknqJNMq8MwBNPjIkBPBHYis6S1Mk6KYj5ecn5c59a0IUjt12xx7V9BST Yx5IUAYqLjOeeKlchlyo/SosHGe30piF6R81GRkKASKXBZWPPPtS5AA3ZH4UgHA/TilIySSaaHLj lcHNOONvJ5pgVvLV5GJAPrkU1rb5cxqC30qWNgWbp16U/wAwA8UXAbGZSnz8Cn5yOG/SqF3bXEs/ mROwXI+XeR/Sr0agAZ61KeohTGxX73P0qvZxzGWdjyDIQD9OKsZO7nPsKS1JaN+SD5jH9aYFjyuR 8xxSGRYztLfpUgfcuDRuhAG9kz7mmrdRO5E3Y0jYYY4INH40EEVJZGqsg+Rsc/dPSgS9mBVs9DUg GBnNMK54PI9xQAg3BshaUPjPy800h4+EOR6GkVwxIPB7g0CJN57LxT1JPPrUBXJBGRmp8EYGf0qm kthJt7i9qchw61GM/wB6nx/6wZakhlkEGjPFMJOcDoe9AGD1JqxDiO5NL0GBSEEkZNNbK4xQAKxC 89yaMMvPGKaMsmc9yaXJYc9PpSANxAHANV2BLk4OAasYOAevNOx8vGMHrRYCqpznJpcgnJpkqGOI yDHXpVZLstJglDnG0Ck9BmooRB05NQ8mSPOO9KSzgEkA+1IyhSm76U47CGO21sds45pThl4/nT9m V6DGeM1GAh6Nj0xQxibGAwDRgrj3oOUYc5Wms+Tkd6QB3+hpH5xnpmlUccnmnom4gZ70kAsWDkd+ 1IcANxUqQYY/Nz16VVuHYFgDkscLTsAy3+6T3J71IEBbOBn1pkSMqBCehqToce9ACd+T+FKT8w/l SHrRjLewpMBfXPrTLRtsbqf+ejdPrUgTcevFJap+6cE9JW/nSsIsFH29fwrMvIUefLrk4A61qSOA AGbA9aoS7ZJC2faq9nz9DOpJJFnpRwe/NKetAHOe9SbCA5obt25poJznuKC3zAE85pAOAAPtTSiv ncMipAaAeKYEGHQjadw9D1qVZN3Qc0N1FGFP1oAARkg09QC4zUABPPXmpU+aVeeBTsIt5AwKQHmn dajB/etVCAH94eTildwqEkinYHBAqrKourny+sUfL+57CmAyO8hAO3zXHPKRsw/MCgX0YX7s/wD3 5b/CrCEKGBAAyelVyMnApAOjv4MYYyAdsxN/hTxfWxHEo+hyKZs4ySMelITjv+lFx2Elurd4wvmq T6DmqBSHzBuk/i4wSKv7iSQRk+1VJbLzpRI6qWHr6VE2FrImS/iTIIYgHHCk0ye/R3VTuAU5yUP+ FVsGzU+UuACeCpINTeeJ1gY8fPzxTjohIn/tCJsKC3HqpH86jN0WjxG2H64YYqfGVO0kHHFEa4T5 2P19adwTKRvc4DSJkdeas/aLckYlTPpmntDEwwOD60rxoUEZoGHIFPUlcY6ioFtDH/qZSmO3UflQ 0syHbLFkf30/woAnaZkAYckcHPGarIRJI0hIz2Gahlv4TKkO488ZINPyhYGPc3sqmk7gNvmVbbIk 289d2KyPNdeftBIPX990P5Vts0mf+PeU/gP8aNzk8W0n5D/GmnYB8YHkr1PHU96eoXeM9Ki85weY ZB+A/wAaRZnYhVgkPPtSAs7k3/LxTbNg6S98St/OqN5fNaR5+zy/Mdq8DrVmyuIUtI0QOWIywCnO e9NCC8kxcRxAfeBNWY7eMIN2M96pyJd3EodLcIFPBdsfoKtCK5YAmZAfZa0crRSTM1G8m2gPY0vO M0dgCaXjFYmwmOD+NRsNpBqTIxTXAbb9aGAY5FKvTOadxTBjJ9KADbk9acFI70ZGRS7hQBDJJ5ML SYzjPA+tUP7W+bIhbIOOOtXpEEsTKwypz1781RTTl8/duVl/ulB/OjW4jVt73zETch5/SplwzFlb rUNsqJgYAx0pShMpKnGT2qhEk8hjhZgfuioAXttPLoN0m3cfc0X0jJaOpAyR97tTrtgdNfaf4O1U BH5rOuD+lKg5A6e9NQELxUmcDNSAjcsFDjFNIHODkg80gUHLKSc0g6k7SM032KJRnHFNc4GM9qZG 4LlSOnvTZmUL1PPFJRbdgS11CSJJ1Cvkj60s0AAi8scKwzQs8SjiNifemSzCRNgypJ4J6ZquR9ie aN7XLCZC5Pc0gIbcBnio43Z0zuB/pSl9pOO3eptYY/awbOOaUZ3AnrTEkBI+YmnmQbjQApbb9aid toJLHHf2pSRycVHMB+6U87nGRQAxIdoE0iAu/Td2HarkL5iA2jJps+5wpGfy6VJbghcEEe9LW9ie oMCoxzSqMd/wqQheveo/l2n5uQadhkbA7S3PXpTEbJ4ODVhdj9f51DcFYE3Lyeij1PalYCBP9IvQ GA2Q8+27H9Af1q6q4J/wqK0hEUZVuWzkn1J5NZ9zc3Ud26AsU3cbYiePrmm9ANVm2DOagE7jjAOK o2k1xLORKzFR13Rlf1q+q5UYIFS2xDu4paQ5yOaBz3oLDtTNuCPrTxnFIc8c96AHGozx06mn8+tJ igBuMEdKcMGm/e60uzHANAAn3fxP86Y5AbinIPl69zTvKDEA0xCR8MKto3yVEIApzu6U8ZxgVSEV r3a9pIvfFSCFFgQe3I9aZeLttJWJ7U8O2zdjOBQBGpVWIKlQTwe1D5Iwp470CYOhUqCMmoySi/Ih I9KAH4IGBxmkbCL70wXC7TuUhh0BoTbJlm6kflQvMroJEGUliPpSNIwBJAH9KkABOBkYFV2OWWMq efX0renZu5hOMlGyEaRSScgfjSqQykKVP40C2hU8xjnr70ohiQjam0+ta3OZJrUkgJO9cAYGeDUm doxiq0S4n3BzjlTUxRlH3s5rkmrSsjv6IeGB7AGmE/NiopoTLs+Zl2nOQcUx7be+4TSA4xwakRZL ZZR260SgebBkjlxUUQwoG4tjuetEwJaI994xQM1BgdxQD6c81EsbBCSeTUg6EAjiqEK3AqJiF/Gp M54zTWjBbOaTAYrALyKgRvtN2DgFI+mPWn3TGOBip56D60+BBBAAOo6n3pICcZHXBxUZUMCc4PrS KzMWpWGAMGgCNlYpuzxTAcU/axUgHinLB1+akBGSMilyPUU0/SjaT1pFC7gOpFNLDcPmGPrSkEv+ FBBIoACwHIIP400MDk5H504A0Y54oARWXHUZpwdem4UFeKQDNADUbggsDyaekg3DkfnSKP3jc044 waAJN68HzFHPrTkdMnDg/jUHGKfGo3D3Ap3JG3rD7JIMg8U5m/c4HQrTL0kWzr3bge5qbnAQ9aq4 FMDGSD0NSoWA5FPkjKysRjHGfWo1PzjPSkMRw0g2leG60xVkiHCKR0xmrQYBzt78VHO2HIAJJqtw sQ+Z8+TGQR2zUUzBssT90c7ecU9HUt8yn5ulDJIkhK/NkdDT1jsD1KK3LSOAoIXt8rAgfiKsCcdM 59KjjinExMgUjoMdRV0RIsIU5ODkZrSNRKOupDpRlZsjhO+Q4cYHJFTuAwzkEgVDGpW5bb90jNSt uJIrObu9CrW0G7VKjikyoIA9PWmIz7iMkgVJjpWaYxqFVcg9O1Ml+/Fg/wAYpxOG6jK0TMu+E5H3 85pgW5C2xSD06iiFsLyOPepgwxkVGZVJKgmmICQr5zSFsBgcc9MU3cAetP5bp09akCpLmS4gQnjd n8qvlkAC5FVIist/JghhEoXjsT1/pU7ghsDgGnsA9cDPQCmt2AIwKTdjIHXvTc7ckGlcCTt15pys AOSKYC3c8UvynrVAQNnB5o5xndSHp1pwxioKEAOeval5x1o4zUTMVfp8tNK4m7EvPrRzmmq4PY07 uaGrbgmnsIc4o5NBPy0A470hiAfvD9BS4JoBG80u5fUUWESG3OOGp0cZVjk9qfvUc7x+dAZS55HS rsIrgG4uGc/ciOFHv61I2fM47Uy1I2S/9dGqdsEdcGh6gQRyFpXVwCvFDRlBntUSnZMT17n2qeSR WiGG60dBJlB7lkn25G3d6GpzuLZ3ACozBEOSrdcn5jUi/cYKB7ZpIoQIyjAI60Etn7wz6U6IFUJY VTu1VvmwR1Gef6UPuDaRaZcnk8+1BcqDldwqGzjMaNkklmyc5qZpDwAB15oDcgguI5g8inBLEEHt ingsWIzkeoqGOFBczDnru49//wBVOXerFQAVHOelAEiqV47UpbHVv0pjylUJ2MCB6Z/lVdLzzCVE W9h97Hb86Vn0Alkt4pXMhTJPBNQzQQ7YUZBtZ8EZqbM0vUtCvYAAk/Wqs1l595GrSSNs+djux/Km I1ARFEACFVRjJPaoBNM+WjRdp6bjgmj7PFkEgtjsWJ/nUgBPWkMhLzup+TYAOWak2K68zufcNUk6 j7O4cZUqcisTZC52KwCZAwQ2RyPek2S3Y2NNC2sMscfOJDz1zk1cMjN1PNVdPjRPOCjChx39hVpg gOdwpu4x69Mnk0EHdxTFf0INSxkbM5xzQkA7qOeOaDGTzvpCQTnOOafv/wBkmqArEgr1FLkAcmo2 XIJ4FIIx13CoKHb1HA5+lG9e4I+opOjfeFDH/bFADtynHNKCCeCKZjcOSPyprKFJzj8qAJs5Bpaq 9VPFM24PBOaALLNtLHrxUOeRTGL7ThsevFNVJA2TKCM9NtAF1+gpEViS4OO1RnczKKegyrEnAHWq Qgtpdkbhv+ejc1aWdW6Y/OswxS/ZBIgyCxOD6VT8uYOHA6dt9bRp8yvcwnV5XaxqzHdI20jgUgmX jJAwPXpWeHcSqrLhn44NWfssTA7lGSOT61NSKirDpvmdy011GUwSuD3zUJcE8MCe/NQmyg4AXAoM cEYdUZUZhyQeayNSR1LKQshT3FR+S5XH2lzjJzgUxbeU4IuWII9BVlVCgDO4jqcdaYxIlZVIZyx9 TUh4XPFIANue9QzyCGIuc8egzSAYHQXcuWAJVTyfrUgeMk/vF/OsyymFzfyNJtY7AAQvHetJIIhn 5QfwoTT1EncDNGo4bcewXmlgj8uM5GGYljinKiqPlUD6UpzjimMXmqzfJd9fvr/KrBIHSoLk/PA2 OjUAWAuGzS84NRh23kEc0/JNIBHH7pueorG82OCRmUM5Gf4+PyraxuXB71Ul08NIGD4yeflFS1d3 JaE0+6Vkm4/iHGc9hV/gr04yDVCzt9sJO/O4k5x1HarUiloCuT0xkU9RliM/Mq44IOaexJOF61RF vufmaTketWYLUwys6yO2RjDHIFUgZYVTt9/WqrQyk8yfrVt2KRjuewphjB5bBNUpNbEuKe5S+yQY /jP1kb/GnfZIP+ef5k1N/B0oPaszQg+yQZ4RfzNIbW3PHl4/E1YAAJpvXmgCH7MV+aGUofQ8imm4 KvtuVCcYDDlT+Pb8atA54ApCMkgqCCKAIugwORTXHPFRPG0GTbnA7xnkfh6U6GYSN3Vx1U9RRYBz KNvHWmqSOG4NP701wWZSOuetAFhGzKDjHXtTIgbkFmOIc8KP4vc+1WgfvbuGAqCzfZaQdAPLX+VW iSzKA0BUYAxWXWux3IRjgisySIpJt688VvSkloYVot2aK+D9pQgdDyaslvlJBzjrUZtnE4JUfLyD UxxnA4z6VnVabui6SaVmKDuHpTCF/hC46UrZB45pwX2rI1AFdoGVx9aQkDPf6UojGMH605QRmgBi OHB7fWhlVlKsAQeDSkgmjtTAqWdvFE0rouCzYPParWBkkdait+ImHcMc/nUw4FAEKSZ3Bgcg8cUq yMXwVIB71J36UvfpQAzPGaiufuxkH7rA1MO+cVHcDdC4GMgUAPJAPTtzTx60xSpiRuOQDTgwboaA DJA/rTLuQrbN82CQAD7k4FP9sVBcHIH1H/oQpATBEVVCkYAxjNS/u9v3hn/epm5gM4/SpFibaSBz QII2RX5YH8asLLGFJLr+dMjjIHzEH1PpSj94zcfJnn3qlohAHRvnZ1yPujNO8xf4mX86jyoYscAZ 4zS+dGfU/hSGRtnB5paGI2nmjIx1qShhLDtSZIp3V85GKOA3bBoAcOnWjnPWjjHWkJxnFADdmN3P X2qKe3Ei5BxIv3WHWnFmLYyKH+UYDc+tAFQSPEcXHAP8YHH4+lWMjAKkH3oYkjtVSaB40L2x2t/c /hP+FAGoHDg7j9DUVpg2cIY4+QYPrTLW7iK4lISTHzI4x+XqKlsXR7GDgMNi/hVklrkR4B4AqNId /wAxJ5okCEjGV+nGaeE2EbX7d+aAITEEmOCTkVG6FDhhUoGZ23SrkAdR/wDXpsrlgRuQ46YH/wBe hoERADrS8dcnrTEbcSThcdj/APrpwUZO6UYqRjx+lBbPFROQCAJDgUIEzksaYDu55/OjqMikAjT7 x3H35pB2yVGe44oAgtmy0uTjLk81PuHY5z0xVaGFSZRvwyOffg81Nl1K7lz7igB/IXJBFAcHkGkL oUP06U0bG52c9qAHEkg461FJLHyhdd3TGafjsv8AOqs9rEzBpIwXzwaAJI5ENqq7hkcdfSnhkTaW YD8apSWVtGocQIVj5ZT3HqKnhtop4V8uOMxj/byDQBaBLcj7vrTZhnYi87nUA/jT0hEMQQMioO2D /jVa6vIRcxJDl2iO9ig4HBGCaVmxM0/KPIJGBT92BjOFHU1AkyTqH804PIx/+qlWEtLukkBQdFJy T9arYNyTcZccZXsB3p6hiX+YKM9qa7iEAqdynt6VXEhIbDZz1pXAfIyk7ccZ61EevApnnhZdpRj7 ipgcdMUDJG+6aKKKkYd6Y2S4AHQUUUMB9HeiigCJ1G/NEn3ef0oooAizngdqB1NFFAC3sCTQFZED H+H1zSWtmbOJV+0yDIHGA2PzooqkIlKysDi4fH+6v+FSok5ODO/TOdi4/lRRTQhjQTGQ/vmJx/dH +FNa1mxzKcf7ooooAQWx3AJM7f8AARQbcFjvuGwenyiiiqSTdiHJpXGS2TgqyTHn/ZFAt5wSfOPP +yP8KKKl7lohMT5+Wd8Z64FPeCRgoNw3ryooopDKU9tLaXyT/a3CSgq2FHUDI/rVmNXnJIkl29zn H8qKKfQh72B7QFTiWQHsSxNRmOe2Xifev90jOPzoooTBq2o8TMWGYw4I6p/gadJKSFHkSjnn5RzR RU9Whxd1cimVZuZ0Kxr/AAev1/wqEadaC5ikSJBFJ8pX0PaiiqvYFqXfsFpG2wQru+lTCNI04QA+ woopNtjskRMhglJhXKHkr6fSl+1xhlV8ox6Bh1oooQFyYYjWoCoyT0NFFAxMsPQijeo4yB7GiikB /9k=