Colin Talbert Brian Reichert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Patricia Stevens Brian Reichert 20180724 project Fort Collins, CO USGS Fort Collins Science Center https://nabatmonitoring.org/#/home/welcome The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of 10-km by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with various landscape level attributes added (country, state/territory, county, percent water, and land ownership/management). Grid cells that fall outside the area of interest were removed from each individual sampling frame. The GRTS design provides solutions to several practical challenges faced by bat surveyors that are not provided by more familiar designs such as simple random, stratified, and systematic sampling. The GRTS design allows for sample site additions and deletions, supports unequal-probability selection of survey locations, and provides an approximately unbiased neighborhood-weighted variance estimator that takes advantage of the spatial structure present in the surveyed population. Attributions and extraneous cells were added to assist users of the frame. 2018 publication date Complete None planned -127.9449 -65.2626 51.5144 22.9170 Continental United States ISO 19115 Topic Category biota location USGS Thesaurus ecosystem monitoring USGS Metadata Identifier USGS:5b7b563ae4b0f5d57884615b Common geographic areas United States None. Please see 'Distribution Info' for details. None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations. Brian E Reichert U.S. Geological Survey, SOUTHWEST REGION Ecologist mailing address

2150 Centre Avenue Bldg C

Fort Collins CO 80526 US 970-226-9245 970-226-9230 breichert@usgs.gov Susan C. Loeb Thomas J. Rodhouse Laura E. Ellison Cori L. Lausen Jonathan D. Reichard Kathryn M. Irvine Thomas E. Ingersoll Jeremy T. H. Coleman Wayne E. Thogmartin John R. Sauer Charles M. Francis Mylea L. Bayless Thomas R. Stanley Douglas H. Johnson 201506 publication https://www.srs.fs.usda.gov/pubs/gtr/gtr_srs208.pdf Patricia Stevens Brian Reichert Colin Talbert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Patricia Stevens Brian Reichert Colin Talbert 201810 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9M00P17 GRTS IDs were checked for consistent spatial distribution. Values were manually checked for minimum and maximum values within expected ranges. None Positional accuracy was manually checked in ArcMap NA Patricia Stevens Brian Reichert Colin Talbert 201807 vector digital data Fort Collins, CO USGS Fort Collins Science Center https://doi.org/10.5066/P9O75YDV Digital and/or Hardcopy 2018 publication date NABatGridFrame Geometries being attributed Homer, C.G. Dewitz, J.A. Yang, L. Jin, S. Danielson, P. Xian, G. Coulston, J. Herold, N.D. Wickham, J.D. Megown, K. 2015 raster digital data https://www.mrlc.gov/nlcd2011.php Digital and/or Hardcopy 2011 observed NLCD2011 Landcover U.S. Geological Survey, National Geospatial Technical Operations Center 2016 vector digital data Reston, VA U.S. Geological Survey https://catalog.data.gov/dataset/usgs-national-boundary-dataset-nbd-filegdb-10-1 Digital and/or Hardcopy 2016 observed USGSNBD State and County boundaries US Geological Survey (USGS) Gap Analysis Program (GAP) 20160505 vector digital data PAD-US Version 1.4 http://gapanalysis.usgs.gov/padus/ USGS Gap Analysis Program (GAP) http://gapanalysis.usgs.gov/PADUS http://gapanalysis.usgs.gov/padus/data/ http://dx.doi.org/10.5066/F7G73BSZ withheld Digital and/or Hardcopy 2016 publication date padus Land ownership / management A set of relevant geospatial data containing appropriate attributes were obtained (see source inputs list below). These were projected to match the coordinate reference system of the sampling frame using ArcMap 10.5. withheld 2018 A Python notebook (available in the code folder of this data release) was used to extract and summarize attribute data from the final projected geospatial data. In summary data was extracted from each relevant data layer (water, states, land ownership, etc.) for each individual grid cell was and summarized by the portion of the grid cell it covered. See the entity and attribute section of this record for the individual layers and how they were summarized. 2018 Colin Talbert U.S. Geological Survey, Southwest Region IT SPEC (DATAMGT) mailing address

2150 Centre Avenue Bldg C

Fort Collins CO 80526 United States 970-226-9425 970-226-9230 talbertc@usgs.gov CONUS_mastersample_10km_attributed.shp Attribute Table Table containing attribute information associated with the data set. Producer defined Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry type. ESRI String description of feature geometry type. Shape Geometry 0 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. U.S. Geological Survey GS ScienceBase mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P9RRWXL6 None 20200820 Colin Talbert U.S. Geological Survey, Southwest Region IT SPEC (DATAMGT) mailing address

2150 Centre Avenue Bldg C

Fort Collins CO 80526 United States 970-226-9425 970-226-9230 talbertc@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 Esri ArcGIS 12.9.6.32739 Indiana_Bat <font size='2'>A layer depicting the range of the endangered Indiana bat (Myotis sodalis) in Tennessee. The range for the Indiana bat in Tennessee was compiled by the U.S. Fish and Wildlife Service (USFWS) from </font><span style='font-size:small;'>a database of occurrence records provided by various State and Federal resource agencies, and is represented using the</span><font size='2'> North American Bat (NABat) Monitoring Program's 10 x 10 km (100 km) grid cell framework.</font><div><font size='2'><br /></font><div><font size='2'>The Indiana bat range layer <font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, sans-serif'>is publicly available to assist project proponents with early project scoping and coordination. Project proponents may use this layer to determine whether a project's footprint overlaps the Indiana bat's range in Tennessee. For additional information regarding the Indiana bat range or Section 7 project consultation, please visit the Project Review portal on the USFWS Tennessee Ecological Services Field Office website:</font></font><div><a href='https://www.fws.gov/office/tennessee-ecological-services/tennessee-field-office-project-review-guide' target='_blank' rel='nofollow ugc noopener noreferrer'>Tennessee Ecological Services Field Office</a></div></div></div><div><br /></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:small;'>***Please note that the database of occurrence records used to map the range of the Indiana bat may not be all-inclusive. Records provided to USFWS are seldom based on comprehensive surveys of all potential habitat and thus do not necessarily provide conclusive evidence that a protected species is present or absent at a specific locality. </span><br /></div> EndangeredIndiana BatMyotis sodalisTennesseeRange mapNABat Range of the endangered Indiana Bat (Myotis sodalis) in Tennessee. Layer created by the USFWS Tennessee Ecological Services Field Office from various sources. <span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>This layer is for online use only and is not downloadable. Please reach out to the USFWS Tennessee Ecological Services Field Office if you have questions.  </span> Indiana_Bat 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <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/2.9.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</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><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere 20230412 14022400 20230412 14022400 20230411 13595800 1.0 FALSE File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE 20230412 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDlNF8P 215JdavdK8lpbqQGc53sPX271rXmh6Pfxm8d4JDJwOdoUAcHrXU6fbWiaTFYRx7raOPBAPDsetcd d+DraO9l+13MsNoMOsIbggnGPasVLU6VDS5xOt28OmXJOnXvmQufmWM/Kh9M9K7rwlFZ2vhfzRDD JdTKSX6ufbPYVna34TiurdE0kjyVPAY9eetN0LSL6y1BbG/TFuFJAXgcg8t3x3qnqRaxb0vVGsr9 muXMcIb5sdfqetdhqPi7QJ7JYrbU/tV3t2hAPlA9flAH51xNzqFirC0gxNsB86cgkOx7Cqsd/ZWb EQQxRnOCFTn/AOtSaRUZuJPLp6axrKWssrqjKXIByM4yK0FgjsEGm21pJOpUpcFEyoOehPbpn8qr aff2cc8kkU379P4gATntircfjq0spLiG7TynYYkQIdrnHUY7EevShdhX6nHtDNofiPNurxxM2F9w f5128Wh+IiN8NpA287gzyg/mKyoNe0e/1BX8hppg4ZGKYWPByMZOf0rq5PGH2SMKbWWWRzlgDsQe +aHdbDhZvU4TxJper+H5jcz3KTmXBkdD0b098VRTWryG3guJ7do43OVl24z9K6XxDex31vGs8WXd wMHlgPX3q3qGr6JdeEo4Lkr+5GwA9RxjGPWhPuEkr6HJjxYkccgUbnz8p28fT86xYPEGp2dy7Wsx COxbycZTn0Hb8K0T4R1GaP8AtKysZHs1w+x2AZl9h1PFdHZaVpV1Jaahb2yR2JUmVWyWUg459856 elNNdDPXqQeHvE+sXt7us7KIOqEM4yQM/Xp+tXrya6vbWVpJTJdMMsxX7v09ulSwyxWkMi28jIp5 JHQD096ntJ0mtfN2Km4lsNzkdjUSkWtrE9nb2stm8V3CrhELIpGfmwOP0FWIrOw1fRZLi4EIls0I WRgBt74IPQdqzIU1CO/kuUmLR98d+w/SpksJL03M5j8mJvkCF85OMnJ/z1qW+rKtoR6ppVje6PZv o0wa4KHzV3AA4/z3pNDae3ntIGdfL8xA7HsMjP4c1zMekJpetRo7s6SgmM5OFOcc+tdKZpIbYyrC 5Rl+bsFOO+evfiq3Qk9TrvHUlsdMshGNymZsoPTsa5O4lt5YVtzwxGVP+fYUn9vT6ponkeXlYXDl /wC5g9/rmobi9trDZczKzsflRU+8x9AP84qeo5NW0I5LqO1YCQuqAdW6kf5FXoL2BLgFeBgceoBy PxHFZTpfa2sZnhWJZH2rEFx5YwfmY9+3/wBaiCx/s7dJcvH5APJc49x/n3p2RKbWx00FzBct5/lt JEG43dD75/Sinf2hokWipdvKszhCwTdwlFRy3LS7s5q38UXVjenS0dTsOA4GcAngDn3qxf3ElzMZ ru4EyDgBO/Nct/ZEGmadp2pQ3qXFxM3zxHsTwOacsjXl20EilGjPWPt+NbNEc72Onh8QppShLSF7 iBRyAfnU5OcZ6iuL8QeI59Qu7jyxJEsjkkE8n6/4V0+i6dayaxbR3M/l2rkhnHG449fwrH8WaVp2 j66wt5/tMPmDjufypxYpLS5Lbx2b+HElhvImwm6WJjtYN3rBN9HMog2/uxyAW7mvTF0bwrf6PDqk sCxyMg3pu2ZOP7ormdQ0DS7+9MWnxNCmVIxzx+NJMqUbI5aK4S1mysgOOwHU0lxcTakyryVAO5vL yQPXiu3l0TRLKwWC5spGnXGWhBLH6j/CorVjAwWy0mSCEHDySjaAO5x1JxT5luRysp+H/DtrLDbS jUVNxI4BiAwAOpOfYZP4V088cjwzQOERSVHmO33V7cetc3JYRaZrs2oxgpBKp8pB3ZuMAfTP51r6 jcRWVtHLdSqJCigBRvYn0xnGalu5SLNnZ6bFdRPcTRuUHBz1PXpVTVtHtftMl1EsKyuvIkXKsPcd vqOaxWsNZE/299IlWBuQduWx1zj6U8+LIoriIT2W+NOCDnJOe4qUnfQb03Lv/CX3lvcw6e9vbHkK kluxJx6c5q/d3kdr4YnMcaecryeZs6BwWbH61h21vYarrgv79JbO2kbbEqfKQeufpUmt2lvY63LY Wl2rWtygZN5JBPQ9O9aJIjWxb0S4F/ppuArbs46dR6H9a3Xt0cxwsqgtCuM/KBx/jn865yKx13R4 UtrQ2nlOcqgdDkn1D8/hTrzUtemjWS52B4yUAQDGfcjgfSpcdQ5jptCmi3zJPKGAOwAJnYq+/Tkn 9KuGVZLmCKOQu8jNuUDhenSuX0XVStvM9xJbBgcO0rYwOxA659q3tM1q1XddBSzMCM7S21fYfrUT Rop3RX8Yi0iuLC3t4zLcRqxeOI5ZzwR24Hv7VnpYatqCRy3riCAN/qwuVVfpnk0/St13dXUsE1z5 EjEPJKu1pD6H2/Gr093JGBbQvuUjqB0PSpcraIFEitbXT4NGuUdJ/LkbPlj5c+mTWGbyNJFs5IfI Eg8tZw3zYJyRk+vHIreuLhUtY7TIyfmYcEnHr+dNPh241OxcooZV5XjvRz6XY1G+hAYp7O5V4o9y oAG+Q9OcAVy/jCTULgJcbVjtwNuxTyf9o13EGqCLTRDcPuu4lCEjqMHj8cVz+rRG4MSOWeJpTGfq RkUotqWoSSscPotveX94kURJUHLbuVH4d/pRXp2kada2cJUooKdSvf8AH60Vcp3ehCiec+HNPfUN RMDMwAjYqf7p9a6G40RdOgVrWSW6uHO2ROgJ9q372106wjE9naBW38vnlhXRaZp2mfZ1meLz96ja r8AHHatJNhThc5mLw9dXvhjLhFlDZk/6ZgdhXLy6ZDZsYGne5uZf4QMk1p6/fa5ZavPp9nGsUd0x 2RR87c+lavhqyPh8K97HFJdz5Z2fl1Hp7ULa4SXQ4ixuJoNVSG6lePy3yqNkgd8YrpINb8p2uJSe 6RhV5+tVfFMenXN+L+3YrJGwZh13f5Nce19OszMwwSeA3OKrcjVHa22qyXOotcSgAYAXPbmtHUtZ Frp7Tlg235Rtb5vyrztNSvDwrHJ9B3p0RmmmH2jeyfxIvU0uQOYs3WtX+rSRxgHcHyuzqPTFdV4c 0yaxvI7rULd5WK4iMjcKfUf41zNmYTqkX2GKSKIMvmM/XGefwrsdb8VxxxrDHJFKMAHacEAelN+Q Luzdn8Uai8axSW3kwYx5j8sT7YPArIWO1u9UM00AeIxlWI5+bqMfjWSuq32rW4W2gd0Tjfjp+NaF nZXsDCKZv3ruoAHQDmszRttXHR6pPazz2kVil3YTYJhkydpB7Y/lVCa1uTKJLaKC3YNvHmg7s56D 0FbtwPIZY0EpUjLOFxtcdR9aopbzTXolLyMhwNzDGalza0DlT1MPULPWb++W4cW7yY+7t4b25rR0 29lgl+wXNi9s6nbtQZX35FatrMI9QKSklISSQe57CrGnwpqJuLy5fLyMVQnge+B3ocw5Tn7bw7aa jrZa9uHsllyyZwMn9eKzb6T7BftatMCc8SW0mGP4dD9CM+9dLe28F00a3bGXym2pLC2Dt64/WmJo +jSwSQtZAO/KSMSWBHqaFPuDiXdIZJdNQ294JlCgNkbZBxySv4ds0XM5cwR2Y3uvLblxjHY1x6vJ pWrXFqF2RPIwjPQdenvXo/g+6SexuTeCOJBjczR53HHIBP0FOUUtRwXM7HP2+iasdXgeSWJWbor8 qR6Yrqpr9oSYrWVbO5iIb9y2YnH+7yO/1qGeXTWuFCZeXdhQYeR9KbFoQaVriJCzjlwWycdelZNm rSjsZiaPNJK7ZR3fmR84wSf14p/iGKW38gBV3mXJUcgAL1NbqW+yEyCURAE/Mwx09D+fFZ32O0uN aFncXhVUh3vIOu9h/hSizPdlZLhmjyVznsBgUVUt18q5mhaXfHGx+bpx60VViWZE0FvYaZPF5v2u 5kI24IYxjvzWJDryWiCA3V1LjrlzhfbFTXd+NUu5Y9LjRYl5+dsbv8ahvPCVw1p9pZlWb7xO4bWH tXToZu97om0zXYoNYXUHlJ8v+9zkdx+Vd5Lc2V3C0jeXLbyDzEYDv2IriZfADrZi7TUIzFtB+7zW FBq1/wCH55bUOksYPCOMge49KNA1W5f1u9Gma3Gy2ysigEhxkSDrms29vD4g1d7pYo4flUbAOuOK v30cmtWn26eUGRuAqLgKAOlZselMlv53mFH7ds0JoTua5W20+5ME0RX3A5PuKr/ZTc6gsNsqoT83 zHoPU1kte3glMkgaRiMBmGcD2rV0i3nFtJevcGKR2woIyW9/pRYEzb1Pw3Lp2miVroYm5IRfvfSu J/s+6kmYCCTOehUg12Meq/Y7u2lKTThHzvk5JPqB0GPStea3FywuvtDyGYb1lLZzQtEOWrKPha2u 7OLy5gY0OPkY4IOa6K6ljW9hK4AZQAQfusOR/UfjVEMBFbxlRu3kkserY469qo6lfSzXMdra2/zh uCByT/hWT1dy1tY6nVVtbq1SSz80XMhAuB2x7D14/So7u5jgsYY4x8yAZ3cFh9O3Skubp/7HWAu/ 2zYGCBVPOfXGao3Eltc6GblDO2oLlZMEkn8BUpa6lNdjFu7+W6u2MWIVdsB/Xtx/j/OuhtLR7SOO EJllTeXOev8An+dcbEY4tQWa9lKxxncdxzj0AHc/nWlH4htZ53zqsiq42hWRgMfgP88U5LsJS7l/ U927eVI3KNqgdfrWfLHqszKbYMURwWIXheRS6bdPe3csM7AImMOozkdBius0m0iWzMdvN5jZ3Mg/ hH95ien4UrWKiuY43WbaK+kIikxMkRbPJG4c8fUdqd4V0mfWbRrj+11iuojjyXYrvwf/AK9dc8Wl WtzMLiJW3QZ3HjB56V53b6fLrNzNdaZqHkzHmSNgV56ZGOxxWi1RD0Z6FpVkRclpb/ZPGvzRykcD PY+nvWi+ryMyxOEUx5O8tjCg9Sew4rzyPw/qt5b5v75g8JZIvKY59cn61mt4cm3P50s7Eddx61m1 HuGvQ2vFHjDytUWLS5hdvGPmkAygPoo7/Wuft/Eeo288187g3BOGVxnIJrRsNGlhI8iMDnqaXUNB LMJQfKYc7yOD/gacXBaBaW5bGvWtjYibUvmuJgG+zRjB9Rn0696Kw7TQo717udpGMMKk56lm96Kv 3SfeJxDb/ZkjiBgwMg5+bPrmq0d5rWTbQbrqMHjCkgflWG13I5xkivTvB+p6dBpkMUxQEL+8YnHf v7Vb0FHV2Mi60LxHpumxvc3yoLkbjCT8y5rNXw3JqlsZLeBw6HDMedx712uta5ZO5uI/9IlBAjfB 2j1rMs9cmtLdvPRvKlBBMY+6PXFSmzSSS0Mixg/s6HyVyx6N3Wpp0t5cM4Xn5QvYYrqobrStSsMJ FaiUrtE6jr/9euQa0Kai0MjAwxcK+eGNKzJuiIQ/alNpbsFaH7spxjHcGr9tG1vAlteKPNJyGPet rTvDMF/ZOYyEU5/eZ5rJubeeK7EMrrK0Z2b/AFA6U2+g+VrUo6lKltMsSrhiPl74qzYyPp+mSZl3 W5b5Y36qT1wf6VG+lyX/ANqu3k2CJSRms5ZryBTJNeCFVBKfuwct6ChbEs3BMsjI7BTgcIeDXReG o0+3faJIyuVAG9M8nt+Nedr4pvrhvLuCkiDnPlKD/Kuh0bxDmVJJPMKqAAWbjI6cfQ/ypOOhUZJS 1PQdUGnWBe8khEt0F24fhR9T/SuEuNH13RmOsaU7tbSEl0A3BSfUV0cSnWo1kuLuMwEZQEEbue/r XY2rWGn2KR3RCQt8uVBx/wDXrPZjlO+x5ta38M8CXN7BDLtwCzoFYHOMg4/Gm6dpVnqunM0LWplJ OZbiEMxHsQP50fEK/wBFjnuLPT5N4kQFQh+VX9R7da5/RNd1nTtGe0tdNLgq374AjPuT7VTTsQpI uiCGz1AxwP5g79ufcVtQGW4s1to5vs3IyFOTIfqOlcRZald6Reh72EhDJlj1Dc8gmusvfFWi3qeT p0DW0kq7SbcYI/Gm0yk0UPFd55MdrZWzvNcRhhIykAY9D+Vc7Y6XqlrCNXsjyC25FOfl759jz+Va cOliWF5kIXJJAJzkfjWhounJ5Nw05ZU68EjPPoPpQnZaCauy7p+vxSIkm4xySL/qxwS2MEc/zqJr ua8uXWRSCTgKDg/iapnQjHeJJEF8vOfMPp9K0dR0C/tb1fsULTxsF2kd8gE1DsUk2WVcqsMcMcis pPLjJHHrj360+/0x5Yv3pcn7qquAP8/4Vg3OsyWM0abXWeNvm29QM81nXfifWpnb7HCVT/noy72P vk8fpTUbibsWrm7/ALFvPs1qqolyMP5i52nGDj0z60VzM+sai/yXMhJDZJIwaK05COcl0nTra6Zh cSFHTnbj7w9q1GsQL1bZIyImQugz1Na+vwWkt95tkgjWMYJUcNUD2Estsl1DMT5HzAH+VF76j5eh i3WqLGTCqFSvy4NVzrDBeS23GKmvbFtQlnvFkRMchTxn6VHYadc3Y2zqEh6ltnJqtCbMzYtRubed pLeQx7jkgHg/hWvDrFzLMBKod8fLtXg1LqGiwOFWzwzY4Cjv71raTYXmloJJI4nO3A7kUcysNRdz T0nxU2n2MkcyISygNnjAFYV74mtry8MqpIGJ/iAxU2qH7YgM0Mcbg5AQYz9agXSI/sqTQbnlY8Js 4H1NSrFScnuyQ+IVh0+eCG3kKyjEjL0x/SsZrqG6kDuvC/ciY5A/xrYvNNtlgt/3UiSD/X7Rk/lW TNoFy1w72iuEGCGk+U000J3sXbm2s7jS2aCKNJUGc7trH8Cen+FY1lcXT3sVvDGXd5AEjHr2rdXR oNKVDqF4WmkXOwNjA+tXdAuNE0bWl1CeCSS3+6HB4BPvmlcLNvUsrreq6LJ5Gq2M0j7f3QznP5Vj 654y1rWI1sCDBFENpQDB/GvQbzxToOuR3EVlcJDqCREWzSLkH0GR/nmvO7nR7+yVnu4HVzklz0Y5 9RwaE1uwktbIpabaE3sRl/enOGya9G0pVSDZKMROo29DXEaaIElbzxuk+Xyhk8nIz09s12qBXiV1 TytvAHv71E3ccVYoavY2jxBXjO0d85z/AIVkw2cNqCIIURepOMlvxrZliLttkjEjexOPr2qlPlPl bjaOwwPapVxkhlikszBIcg5Iz7dvan6Nraxafe6TJApuHk37+5IPY1kG5V7vy2ZRu6Z7H1+nWtXQ rKG61C3VpldjKMkrgo2R3p7IL9S5fzzacqG/0y80+CYfuXlHVuvXp6HmrEfiq7mtTaKkIZVwZCGR guMcjBGa6bx1d6Fq/gu706xv7ee8hRX2o4dl2kZI/H09a8r8OaCLy6EDXZjj4Eu444zmrcUiYTZq TpBd3Cuqs820sxByAB6moJL6CS0eOwh/e7jvaQYVee3+TVjWGtbKd9K06T/R1ON0QGZPzNUVhYqs UEeB0J3Z/D/9VZstIybvRZ7yF7tnYtg5Zj1xjIFFdnDpcn2NYNyGSQEIpAwvHXpRTjVsKUCpHape wPGp6AnPao7C2Jg8iGWM7uoPUGqV9rkdjLLA8Z2OvG2sawlnMd02woZULRH0rRK4SlrodjDoBgQr KEbI4x0qYWzW0ZJjyg7AcmuHiu9RjVd15LgHgE8Vsabrl5BIn2+bNq/y5HU0nB9xKdy9eTRC6RFU IzdcdQKnvbr7PCxjJcBenqaypZ7eTUXkzu3HEag9Pc1JqUyJbMqMFYmm0FyjDb3wlF1dn907YCqc 4/CrVle3dpevI0fnWztgov3kPqBVnSXkjspJLl0LL/DjmqVvcPHeliVwVJw3rmjUDqJp7OeyLiUB 9wC5HIOehqovGoJiWNghIZGHDD1FZseiXWqmVlmKsvPHepImaB1jY7pR8pZuxqGUthusKJNRKtCv lsnynrkjrWDd6M8u2Kyz+8blMnbx3rc1O6Myx28atJOTlccHPtVSC/uLdPs1xGY54W5yMHmqjoiH qyK10RJ7eLyPluIgVJQDlh6k0ww3yXMdteSeUpP8YPA9a0obr+zbr7UA/k3DZJA+63r7g9/pV7Vt Yi1CSG5eIFYQIzJj29qGwSMC7VleSd2/exKCpXADYIA/Sug0i6vJ7XfLEBE46nOfXp6U66hsRbC5 b5I4wCwP1rj7nxXfx6hKbSUx25b5EZAcD8qSXMgbsdtJKqMzqcZf5jnOaydXuFjjaPJYu3Cgd6yF 1u5u41LKI5TyGjG3j1rX0680+1dJL4NJcbvlYgsfwX8KOWw1q7Fu00O80SIX7w2tx5ijMT88Yz/W rWgaVIA05Crl9/y87cc8j0q8ddtmWPziN7fKsLnOAO7en0rM1Xxbp+nadPBp7Ge6lQqWU8KT/gKn 3mVPlWxqanH5uktcW6wJbksqhMfKDkYA9K4SeJftEsUdyV8skF0438/piodH1XVLuSLTo3BQEEsx wAM9/XrXRjSI4WlRAHDAFpHGeR1GB9acvd0EtdUZ1hGIQfLjZg3DTMTnP19/8961bZNv74Ddswp5 4WphD9ngKhN+R1XnaD7fhUChw2THiMdWZcZ9ves3qNFm9uLiOLzUkZcDLkeh560Vl6l58++O3ZWE hIZS2Mjr39hRVxWhLeo69sIL0o0wLbB8jL0IpbmBodIElvb52Ngp3IrFsLnVdMmW3h2yxk/LvGQK 3rC8vYJbhb05BG/gd61dt0JXZz01+L94rdLbyiOvbNRXEAeJUkfCryADWrc2k0k7TbQMoWB9Kxre 0S73G4lc4PQcCncTViSIvbwmW1jjdT1PcH2NWNL1OO4uALsIOe/arkMEVva+XGPl96r29ro17C8c 0rQzI5xtHWle40rM0dXtEnmeaKV48gFh2NZTgveBIQ0m3qwFXU08Qjek8sxxwWP5VjX1leQI8sjs kRONobljQgkzpNK8ZR6NDNA8YkdmyS3PH1rMuNbtnnNzHcEu5+aMqQOfSuaFpczSBY42dyM4HNaE OhSjTmvbpvKj3BVXHLGm0kLmk1Y6Xw/qMMl+jXDRoQflIHftU3imWPzY3j++33pM9fasSyOgW6TR XZleVBmKROM1R1G+jMaR2SSmLO4+avOfrU21HzWjY1sy3OmwwKWPPODj5uwzW+bCdNHs7bcH85gr gDJXHTn8a5SG+8i1R9mHGN2T0rpbLX7SeJEMoiIG0HPXjkilJMqFuo2/C6VBHeOTLbpLsweRjms6 +udN1cebDah5WG0bVwF9yf6V0N6La48P3ELqvk43g7v1rKtbFZbWIoSgQfKqjgf41KdkLdm3YaFD qPhlIZEVJY4wI7gLwh7c1w15pd7HcPE75lRyoKrxwcHmt+NdUtIXjgvj5LtkIY8mpo4TsBu/mbpu 75pKTRTszCi0vCnzJnMj4HloAuSP/wBVNhso7W5YtF+4bgt1watQ2DXv2qUy7BZkSKOzkt/gTVu0 idrQ2UwfztwcEOdrLg9O1NsiyOf1a1fRNTEtq2IZB1U5xV+x1q0toylxdylmPLAHIrc1uyV9OhF4 Q+YBhlHQg4FecSQvHIwCMVBx0q4+8tRPR6Hbt4itkuEaO8SWIEED5hj6gj+taN5q0MtuZQ4eVsFc j5VGPy/CuHsbix8toJ7Ni7dJATlfwq3DewWki4zJHGfl3r94/jUumgUmblpYSXttNcyMFwRsLDhv XFFQzeNlay+zQ2aRgrhgnO/6f3f50UcrKvEqu0pgkkSUrg7h35plnqV1cSSGaXdhMDiiirB7Fi41 OWSER7QAAB161FEqjy8D73NFFAiS4mKKNoGOmKSwEZhL+Uu8n73eiigXU1rZ/LYYGQT0NQ624kuL WMoArOCRRRSQMdYW8cVy+xFGAQM/SotRv0bw5DH9mUMXIL7jz+FFFLqUtEUdGsra8vAZIh8vOM1b 8VXS2sAit7eKMHuBzRRSWswfwnFefJJIXdix9zTfNdc4OOe1FFbGJsaQkt5HcO07qsCBwmchj/kV 0ulX800CM+3kYAA6UUVEy4l6S4ZXVSqnJyOOn+cUXA6MxLE5zmiisijL0i3a/bUpJJWVY0J2L0JA 4NaejADS5J3HmMiZAfn3xRRRPYaLDM1zo2lliBvCqRjIxkisCOFJr/ynHyEkn3oopvYOo3VLCEWA ukAWWPJDAc8Vam1uFvDWX0y2aTbyx7nFFFKOu49jjrUGeSSXO0ou4ACiiitW9TI//9k=