20230323
14113800
1.0
FGDC CSDGM Metadata
FALSE
RC_Trailheads
002
142322.492900
717452.888500
4094879.358300
4539989.468300
1
0.000
Projected
GCS_North_American_1983
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/3.0.0'><WKT>PROJCS["NAD_1983_UTM_Zone_13N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-105.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26913]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</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>26913</WKID><LatestWKID>26913</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_UTM_Zone_13N
20230323
14250300
20230323
14250300
150000000
5000
FGDC
Esri ArcGIS 13.0.4.36057
Trailheads COTREX
1
-109.248054
-102.415223
41.011102
36.932111
The purpose of this layer is to inventory and track the conditions and actions taken at trailheads in the Rec Collector study area.
<div style='text-align:Left;'><p><span>This data was collected from the Colorado Trail Explorer (COTREX) and supplemented with files from the BLM, USFS, Town of Buena Vista, and Town of Salida and is to be used for the Rec Collector Towns and Trails app.</span></p><p><br /></p></div>
Colorado Parks and Wildlife
CPWColoradoTrailsTrailheadsCOTREX
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This map layer is a product and property of Colorado Parks & Wildlife, a division of the Colorado Department of Natural Resources. Care should be taken in interpreting these data. Written documents may accompany this map layer and should be referenced. The information portrayed on these map layers should not replace field studies necessary for more localized planning efforts. The Colorado Department of Natural Resources is not responsible and shall not be liable to the user for damages of any kind arising out of the use of data or information provided by the Department, including the installation of the data or information, its use, or the results obtained from its use. ANY DATA OR INFORMATION PROVIDED BY THE DEPARTMENT OF NATURAL RESOURCES IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. Data or information provided by the Department of Natural Resources shall be used and relied upon only at the user's sole risk, and the user agrees to indemnify and hold harmless the Department of Natural Resources, its officials, officers and employees from any liability arising out of the use of the data or information provided.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Shapefile
0.000
dataset
EPSG
6.11(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
RC_Trailheads
Feature Class
0
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.
feature_id
feature_id
Double
19
0
0
place_id
place_id
Integer
10
10
0
name
name
String
254
0
0
alt_name
alt_name
String
254
0
0
type
type
String
254
0
0
bathrooms
bathrooms
String
254
0
0
fee
fee
String
254
0
0
water
water
String
254
0
0
manager
manager
String
254
0
0
TrailheadN
TrailheadN
String
254
0
0
TrailheadM
TrailheadM
String
254
0
0
20230323
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gApodC7IGUuoBKg8jPT+Rp1Zd1amxvGv9M0q3mvbyWGK7l3iJjEpI3k4O7aCcCgDUooooAKKKyvE
zawvhrUToCK+reQ32UMVA39j83Hvzx60AatczJ470ePVbjTPLv3u7a5jt5kSzkJTfnbJ05jyCNw4
zjsQa4LT9W+K2s2cwFtHafY7yCGSJ4At04URszbmKxFWGSduTzjgc1yerab4v8G+NbfW9n27U9Wm
8zTobi/DSQk4MkLKSAxKnywVyOBjBIwAe/aRr2l69pKappl7FcWbAkyKcbcckMDypHcHBFGk67pu
uLO+m3S3McDhGkRTsJKhhtbGGGGByMjmuJ0HxFolp41v9Og0O5sNX1C7jhvYTNH5RkEDSGRV3Ybg
EMVGTwTycVvaro8thrVjrceuzaboWl2zm606JQIXVVbacAcAAnIwc7VxjFAHU0VwmpeO7q20jWGi
hsotQtWhezMxkeC5hmciFgVXcWYAjABAOOeuOT1L4l3+r+GtYglY+F/EFhJBLawSXMQeb5Q5Vlkw
MYySCehUcnggHqs/iDSLfW7fRZdRt11O4BMVrvBkYAFs47DCnk+laVc14du9M8UZ1pbGymltpmgt
9QTy5DKqjBdWUkoCWcbSf510tABRRVTUTqC2ynTUtnn81NwuGZV8vcN+MAndtzjtnFAFuiiszXNS
vNL09bix0m41SYypH5EDqpAJwWJYgYH+cDJABp00ugkEZZQ7AsFzyQMZOPxH5ih1LRsqsUYggMBn
B9eazrLR44fsNzfMl9qtrbmD7e8KpIwONxwOFyQOBQBp0UUUAFFFFABRRRQAVUtra6hvryaa+eeC
ZlMMBjVRAAuCARy2Tzz0q3WXBplzF4lvNUfUJHtZ7aKFLM7tsTKWJcfNjJ3AdB0oAs393NZpA0Nj
PdmSdImEJUeWrHBc7iPlHU4yfasODVvFWoR3rQ+HYLAJHKtt9vuwWklBGwssYICHn+LPHvmunooA
z9P1CaTSbS51a2TTLubar20k6vskJwFDDhie31q5cLI1tKsLFZShCMMcHHB5BH5g1V1Yaatg91qs
cDWtn/pReZAwiKc7xweR6jmqGoateXdpc23h+MPftYrdWlzcQsbV9x+VS4xzxnHoQaAG+CzrQ8L2
kXiCCeLUoQY5WmmjlaXH8e5ABg/TPHOep4Lxv4h1az+LnhzT9NnkkVmG+3msF2ICDvZZiAxGxstt
OAUGT6b+ofFLTdB1q00fXIVtrs20c17IlxG0dqzIzFCN25iNo6A5DD1GV8bXmp217Y3kwsJvCEyp
a36lN0zCdthbORtQZTlTn2I6AEvw4TTr/Tr/AF2CcXl7fXjNd3ezCNKihD5JPPlDB25PQn6VHr0X
iTTfCmtx2GprfSzteT/bZJkiNghQukYzkEDpnI2g56CrXgfTLG30TV9Gi0a3sLOK/nt/JiEu2aMh
cOTIAWJUgEgkccGuG8aeE9DstWsfCGn3z2UWvXUd1JaeescNukERVnwVO4uAOGPzMnNAHAaV4huf
E3jXRY/EuoSrp9y32eS84tZJ49u5UkeNgHXeyD8MjaSa9O0SPwx4R1PUB4o1XTtTu9Tje++3NCWi
W3dlXBLMwG9ucKMHb7CvPfhr4Sgv/F2veH7nS2vdNksWg+2z2yr5D8NG/DnJPUbWyeD0FQ6BL/wh
HjK70EXN3q6Rz/YrmCGzUrLCimR1Bcgq2/ft2n+EnnIoAl8Z+JNe8PfEt7nwvdzWmmSCJdOtY1It
7pVVflSNeGRmZiGAAOTg55r2nR/it4R1ZLZG1WOzu55DELW6HlyBwSuCO2SOMn9a8Utb34e6ejz+
IrLWr+5iMf8AZVhevsMdmygpyG2jGWbkjOVwOa+htR8M6D4gRZ7zTrednRNs6ja+1WEigOvONwB4
NAFmWDTPEVlaTiVbq2WWO6glgnO0spyrZU8j26Vo5GcZ5rCs/Cmn6b4jfWbBp7RpYBBNaQvtt5No
ARimMBlAwCMcVa/sGyPif/hID5pvhafY1zIdix79xwvTJOOfYUAadFVLaS/a+vEubeCO1RlFrIkp
Z5BtG7cuBtw2QOTn2q3QAUUUUAFFFFABRRRQAUUUUAFQXr3KWNw9lFHLdLGxhjkfarPjgE4OBnvi
p6KAI4DM1vE1wiJMUBkRG3KrY5AOBkZ74FQajYLqVssL3FzAFlSXdbymNjtYNtJH8JxgjuCat1Ut
I79Lm8a7uIJYXlBtljiKmNNoyGJJ3Hdk546/kAYt9dXOneI7u6+za3fQfY4VW2gjja3BMpUlckEv
ggnPRR9McfcweOLrxba6Ve+NLGwuFkae0tba0Y/bbdXDM0hyNpwVXaDyA3uT3Pi270638O3cGpXU
kCXcbwRiCXy5pHKMQsZyPnIBwO9eXaVdf8JDooPiuxvNJ1FbWEQeJZlVA0Syq8O4b/vMxXI6Mc/3
eACzP4b1jwlJqVro2q+d/al0J7K4S0W6v52VG82N5HwgwOQzHPUDkmuo8S3l94dtvDsOo695tlO4
sL1HsHkmvXZeChi5R+DjHqTyQAcTxpovhnwVYaLcwavf6Tb21+rfYbW5dhdK0qNIPL3hiAVBO3p6
GpL/AFvS/G2t6ZqnhGW3n1ywL7P7Ss5/JCbN3zHH7oneCr4ydpAOKAOhtNCttOtpvDDaTLB4WtYh
cLfTam33g4fYBncqrjqSBx75LNcTRL/VIRrWsxT6Rrdp5FpaFMIWUF2dZ1+6GQ4IJ59SOK4fxz4v
8Gw+ETosN5fag1lfxPcRQXzox3MzN++kBMicsPlz/D0HNc94t03TbXw5YroniWV/DF4jvDNfX7lE
dIyiwIgDEfedm3JjoMg9QCk+v6T4W8XR2KSWV1Bp12txb30N0ZpIbeJnCwFvlDfI5GBvIDYOQoAx
Wvr23i8Q65Z+Dr+GXWkLWty4cx28UwcStHhVBzkBTt4BPProfEbTNCi8RXNjoFg6TJBHLA1nYCWO
4eYLvLNuPybWUrtTAYnAGcmn4m8d6dqvhbSbU2iy6joZhgsL8Syp5yqmJH24GAGWPAyDnn1UgHJe
GNcPh/xFaXl9Z29zD5kXmi8tRMViVhkoG6HaMD+lfWOgfEXRfFF7bQaPDqFxFM0qfafsrLFGUVW+
ZjjGQwx718weFdIi8b+Jby/8Sa99ks7dBcXl5dPvkYbgiqCeCSSo5/I9K9J+COdH8Qa5NYarbXPh
RD5Ut1OyW7hxjy3ZG+YA5ZRyAST3GKAPoOiiqk2pWdvqNrp8twqXd0rtBEc5cJgtj6ZFAFuiiigA
ooooAKKKKACiiigAooooAKinuYbWMyTyKigFsk9gMn68AmnSiQxOImVZCp2swyAexIr588SarqXh
3WdP1T+3F8Ua7oqzy6pFNH/otmHVE2ptUBGOMDJyTyQCcEA970vU7PWtLttSsJfNtLmMSRSbSu5T
7HkVJem6FjcGxWJrsRt5ImJCF8fLuI5xnGcV5hpPxa8K6lZWt7ZXt1YyWUbQroMccYN0zDCKgxzj
b8u0jqARyAei03xVq914Ls9e1iLTvDxkuV81b+Rgot92O+3a7DoDkdPXgATVo9Q1m70T7Z4fuo3s
dVVnuoZ4h5e2PPmLuyWhYkqfutgdM8Vr6ponh/W7eTUp9Oh1BmgRllgIMkqI3mIEcEfxcjnBNZuq
eIrfULvRW0nXrZ7Ca/NpdxwW32rzyQwCFl/1YyrfMeO+cDnK8BaXpXhrTLibw9dzeIYri9S0MkZQ
PaxqSoVySMhMk+pBGBjFAHlPhTxNoHhXWr26srSNt/m3Nvc61C4cKSqhBIoYqwkDhjtIJ4BHWvQ/
GWv3Hi7w3JYeGpbe2mvx9otnmmCHUrdIyZQFxkDOE+faCBkHANYEvh7UL3XtYGp3+j+HNVbUN2jw
zBHSZ23LI8anBKyhlBLBskHjgBc3w94+1Hw940mtdZh0xtERDbzHSbeQx6eApDeQQAQpdRu27huG
cg9QDNs7jwLY+HvBMTTwvqc+oRXd9dRxwh7dQ+WR2Vx5SZcEey9B0Ff4y6QsF7ZPpmo399pl9K93
ZxhA9srzHLLFIDzkqTjHG4epNRxWWm208Mfg/wAUz6haXd0trPHcWB8mPzHYI0/mNhiBISp2YJj6
V9CXmj2U954ekh0zTbxbQkRySsF8iLYDviQKVJ3KnpjtigDxbU/B5PhzwjrKaTpLh4YTd3F9FLb7
XRGysu0BViIVVBIGTg5O7Js69o2m3Hg/WEufsOigXMHkTxaaeLQSsiIksZbz2YRhsE9Rk46j3+eC
G6geC4ijlicYaORQysPcHrXkXiXShHfarpVr4cM97N5DaXp1wiy6d5SOI2kUfKImIlbcAcjcDzmg
DzzVLAeLb7QvD8GpX1tLc3JtZYXi2xyohk8u6CbY1JxuyByBjkk034W2EUHxBtdBH2XUo5jcwapA
8TNEY4zuRsOg53rkHnsOK7fwjpHhPUfGehI+sAa/o6yrJpunJKtksikk7CwG3HJbBwx9uu34LsPD
N7rkl/p2j3epzw6vcqNanaIvGwTJJIYOy5YqNwJ5B9MAHqgAAwBgCjAznHNNSRHLhHVih2sAc7Tj
OD6HBH51Fa3trerI1pcxTiKRopDE4bY68FTjoR6UAT0UUUAFFFFABRRRQAUUUUAFFFFABWB4ruod
P0K5Mmi3WpW1yGiu47MKHEZQ5c5ZeMDHBzzW/WT/AGXqCaBJYRa5c/bW3bNQkijaRcsSPlwFOAdv
TpQB5LDo3grSNT8P33hKzv723gvJLh7vSyLpjMsQK278kqGBz6DkdyV6LU/AGh/EfU5tbl1W+MXn
wxzWWSFjaHiSJhnGTnGR0OSCc1szaRpPgTUrjxHawXvkXKCG6trO2a4ZnLlhIcZZVXLDA45HHAq1
q+jaLpkV5qd1rd9pX2oyRm5bUHVYmm2DKhyVU5UY4wOT9ACXw94M8L+FtTdtEtY7S6NqsUkSTElo
wxIZlJ5OTjceeMZrTtNMax1m/vI3to7W6VGaGO2VGMoyGkZwcsSNo5HG2vJ4fFukeEPiz4nvNd09
LZGtITFqMZed5kJUA5zhdwwcKoHye3PouiQ3+nWeqa3qniD+0YrndcQAgRW8EA3MmAASPlPzHnoO
uOQDzDxpJomoaZqE95qlzea+ATpGr2Nmdsq+eGit4mU7XkVuCVww59Dm94L1bS/iDceGjeXd3ZeL
NCLyXCJEy+enAk3cBQHLLnOCTuGDnNdnpxuNe8P2BstK0mzSOG3vrS8CLParKzEyBEG1gQufm45c
+nO95el+IdNvjY3YAuQ1tNd2MgSUMhK4DjkFTnH/ANegDyDxj8MvDmheI9BNnqVrpdpe3ISWK9hE
4Ox/MJR3VtnBYEMdp+UEEZxmafq+gaZ4pj1KHVdOspLCe5nSJ2kJ8lGEAt4gVjQBo1yDknPJzg12
vj3w7NP8KL+0mt7tP7KMr2sP2j7W1wgyqySFvmHDluvy4B5A21zUll4fS8jmvH0a80zTrmzSylhE
Vq0Rk+d4XZwY5kKEyH5i2SQMbqAPa9H1KPWdEsdTiRkjvLdJ1RiCVDKGAJHHftXJ+LPDWpa1Hq9n
DbPLbXEtnco819xmNwXSJCpEZ2oOTwS/Pet+612LTY5biW2ZNFhtEnW/gIkU5OAiouWPGDkDGDVD
XjNpvgWSC/vNWvrgqkT3OnQ7Lks7gBgqYxjPPsDQB42qaxqnjy2ttEXVLDV7e6fU9Qj1SJZPsYbG
9ldCDIjIVTy8chR05rk/h9Dfal8Tvs+i391bMwkZLjTk8uNQFyC6OPuHaoIOST/eOM+76D4qhk0X
TNTup9IttSkujYX93fMsDXCRFgWiYZD5JVhglRuIzXI2vgC68M6pdeKtG17WImOqrFfRT2LCSaEz
/OUCq28HK4bbjhjxnAAPUPDnh+10zw+0Vvpcei3N6pluo7WQO0crDkh8YJHY4x7VoaJpS6LpFvYi
eS5eNf3lxKBvmfu7YAyxPU9T3JPNaFFABRRRQAUUUUAFFQW97a3jTrbXMUxgkMUojcN5bjBKtjoe
RxU9ABRRRQAUUUUAFFFFAGTetrja/YRWUdtHpSq0l3PIdzuegjVeMdQ27npjHrjeLriO4mGg69p0
beH9V2Wy3guQpWc7iFZTg8lV27c5PWt/XTqQ0G/Oj+UNS8h/sxmOEEmOCfx9eK5yTxxY2Xw1s/FG
oNFeZii3i3I2tcEhSATwuHzyTxigDH+G/hi9tYL7WNX1VLuTWIUt4o5LLyWRIt6phHAxlACU244J
5FakPgXU7b7dNb+M9VS/vDHJNL5UTRl1iMZbyypADHBIH90DtXN+ONesdT0DQNXvbqG0u9Ob+2ja
2snnecsZ2eXHcKNoyzKDjOM+3OVrw0LUvEz67c+JNU8Nz6hBbzW721wXjli2bo5ZhtxGA4C7Seqf
7WaAPVrfwzZp4futEu5Zr2xud6tHMVUIjf8ALNAgG1QOgHSn+GPD8PhfQINIt7m4uYoWkZZbhgXO
52fkgc/erhH8b6hav4dP/CQWWpX91HbLLpOn229roybv3vmHBjG0q5yABtx0Ndnbavp/iaWEaTrb
xSWkwlngjULI6AsmyRHXcqkg84B4GDQBgePdG0PxJdQWTEHVdy28s8QdzawMGZvN2MNisobBbIyR
x3HG23g+PV7y98G27NpmmXFkJ/KnvftYeNGYQS2vPCkkM+fUKOuR69aaFp9nJqUiQmRtSkMl15zG
Tf8ALt2/Nn5cZwvQZOBzSyaSiyab9imaxhsjjyYI0CyR7SojORwo4PGOg9sAHPeGtaj0OfTvBOsT
bdVt7CEQzkBY7zCkEReu3Zg5APfFLrTz6V4Y1fxBcWtnYa/NbG2Esc+9CQ7LANzLjq4PK4554HFT
xLbXF143t9L1iFr3wzq1oURdpUWl1E24MZFGU3A4BzyRjtit/wAL+Io/EVhOXgFtfWc7W15aFyxh
lU9MkDcCMENjBz1OKAPMPhZ4UTxH4NvYNasrCMQa158V1ZBC0ssTDccYKKpxt+UAFc8dz6xa+JdD
vrq5tbbV7KW4tnMc8SzrujYZyCM5H3T+Rrk9Y1bSvAfjrTi4s9M0rWYp2u5dgVWnjCFCx6LwWHHU
tzyc1o638M/B/iW+jv77SYTN5jSySQExmfcuDvK4LDoevUe5yAdRZX1rqVnFeWNzFc20o3RyxOGV
h7EVPWfoei2Ph3RbXSdNiMVnbLtjUsWPJJJJPUkkn8a0KACiiqz6jZx6jDp73US3k0bSxwFhvZVI
BIHoMigCzRUF7cGzsbi5W3muDDGziGEZeTAztUdye1RaVqMer6Ta6jFDPDHcxiRY7iMpIoPZlPQ0
AWIoIYDIYoo4zI++QooG9sAZPqcAc+1SUUUAFFFFABRRRQAVUkubpdVgtksXe1eJ3kuxIoEbArtX
b1OQScjpj3qS9vbbTrKa8vJ44LaFS8ksjbVUDuTWZ4Z1C81DTZHvv3kkc7qlykIjiuIz8ySRjc2U
KsBnPJBoA2q8f8U+ItI0zw5qegaDq6Xd1NfzteQxWEc/2WJnIlDRALlQzAZ+ZjknkcjsIvFEPi6P
XNC0ea/0zWrNXRmlt9vksGIU7iGXDYyOp2nIHpwum3EmjeM/7N0K48K6Q6sk+piKR3N00e3z4zIy
7U2l3IUfNwDxmgDmdC8G+HpMf27HrekW1/LOkVzcwQ29oYpDmNFErOUb5VIx834fNXQLZaDHq2pL
YeL5NG8ORW8ltNpd1C2Vk8za0yLIOgkZDvIJ3bhkAcX9QltT8QHv/E+oprFr4fsY5AsFkGjEk8x2
swOVVlUxkYOSFz6g+kaVF4ev7i+1PSjY3Ul2VW6ngcSbyEGASCR93bxQBhmw0fSNX1QafdXN1rUm
iIi2EUyxvJFFuVGQgAKxJxkdDjgVx9t4k13TvCFvNq2k3+mXUjvZy6giIl1uibdCpaUFXVl3JvY8
sTgeugknhfxdjQ/Czf2ZqmlXhwzl7W5iiaTdO0JIJOSCpBGOoOBjON46t7lbnWfBum6IdYNxbi/s
1dHneKeWUpJK8jsAmAzBQMgcEkYOQDq9DtYPD3hfTtXuL3xXfyPcvOkFyH815JRt2SRjgLkZBJ2g
nOea7PQtSl1jQ7PUJ9PuNPluIw7WtyMSR+x/n688gHiuK8R28U/hy08CaZ/aWnlzbWcslvYu8aQs
pLDfnGNqMCwJwTg9SRteGfEAuFtNLjjhuWj86OWayUxw26xttQbZDvIIwAy5BKnmgDW8SaPFr/hy
/wBLlhgm+0QlUW43bN/VSdpBGGAOQcjHFc74Y0uSw8d64/8AwkM12721u17p8kT7IJCvyNG5ONuF
YY5PqSRV3xV4ih0qPTb6CTUrqOPUfs80GlRJOWYqwKSA8gA4JwQc49sUtM8L6pL4n1LUtRtrKwju
Z45mm066l8+4aJyIxJn5RGY8BlHU8/QAw/in8P8AxR45uYI7LUbBdOgBeKCUNGyyEAEsQG38buPl
wD3r0jTPta6Taf2gsa3ogT7QsJJQSbRu29yM5xUl3eW2n2kl1eXEVvbxjLyyuFVR7k8Cq9tPqMmr
XkU9nDHp6JGbW4Wbc0xIO8FcfLg47nOfyAIvDutJ4i0O31WO1uLWOfcUjuAA+0MVBIB74z9DWpRR
QBk3+rXdtr2mabbaXNcpdeY9xdcrHbIo6k4ILEkAL9T2q3Be2F3f3NvBPBLeWWEnRSC8O8BgD3GQ
AffHtVuqWm2c9lBKtzeG7mkmeQytEqHaWO1cKOdq4XPU4oAu0UUUAFFFFABRRRQAUUUUAZ+saJp+
vWQtNStYrmFZFlVZVDAOvQ4PBx6Hg965+TwvrNrdLq9vrH2/V4rCOyhF4DFAp3gyylE4ywA4xxtH
4dhRQB434duPEWtal4l8Fy6rba5bRWxhvNVZRCYJ3VwFCod0gyNp5GNhGR0PXaP8OdJ0TwU2jyWF
rqtxtaaQ3aBlmnIUk5OSFLIv5DrXVw6XYW+oT6hDZwR3k6BJZlQBnUEkAnvyTVugDyH4d3WseK9P
1231LR9BtZINVhhu7I2IEQWMAOMBiS42rgtkDHHt19wtvp9tr1x4N0m2OuRvDbTo0JijLKFxnJVS
FjfOQfQV1iRRxs7JGqmRtzlRjccAZPqcAD8K53WL5tR1xfC83h66vdLu7dhfXh+SGJWB2rnjcTtI
O05GR60Ac74rsH0jUr3XHE1ja2yi7TVYnNzKtw4EXliAqSIsYZgCM8fhk6DoN7oWv31xZxS2V/Jb
zDTYL4RCGRiw8xVUSGQ7jEZVUEKu8/j6rcWFnd2LWNzawzWjKEaGRAyEDoCDx2Fc3N4ZvZviNBr0
6aXc6fDbeVAJIMXFqw7o2DuySeuMDp3yAYsOvJ4t8WaPpd3o11peq2VuNRkW8thKphcNG8Wd3ykg
ryQehGMjFdvY6LpemGI2On21u0UC26NHGAyxA5CZ64zzj1ri75Nb1rx/pdzpdpNo6pDJHeXtzAzS
SQxzf6pRzFhyAQT82DkcdfQ6AObt/CseleLH1jRlito74n+04SX2ykA7XRQdofdjJI5Ge5OekrMt
rLUY/EF9eT6l5mnyxRJbWYjAELLu3sW6knI9OB7CtOgDzXx1J4jfxclpoFnp1xLLpEqiG+u+JiZF
zshJ2krgHLLznGeMV2Wk69YXl5Lo/wDaNvPrFlGn22FOCrbRk49MkdM4zitYohkEhVS6gqGxyAcZ
GfwH5CmtEPneMIkzLt8zbk+2fUe1AElFc5pUl/4a0Td4t8QQ300lyqJci2EIHmMFRML1+Y9ffnpX
R0AFFFFABRVTUrSa+06e2t72axlkXC3EAUvH7jcCP0ovL9bFrRGguZjcTCAGGIvsJBO58fdXjk+4
oAt0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUABAPUZooooAKKKKACiiig
AooooAKKKKAP/9k=