20111122
15044600
FALSE
wStorageTank
002
-121000699.999714
832679.440036
-93169199.999500
1942750.421750
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Kentucky_South_FIPS_1602_Feet
<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/10.6'><WKT>PROJCS["NAD_1983_StatePlane_Kentucky_South_FIPS_1602_Feet",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-85.75],PARAMETER["Standard_Parallel_1",36.73333333333333],PARAMETER["Standard_Parallel_2",37.93333333333333],PARAMETER["Latitude_Of_Origin",36.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2247]]</WKT><XOrigin>-121000699.99971357</XOrigin><YOrigin>-93169199.999500006</YOrigin><XYScale>4000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102680</WKID><LatestWKID>2247</LatestWKID></ProjectedCoordinateSystem>
20211020
10475300
20211020
10475300
1.0
XTools Pro Metadata
ESRI ArcCatalog 9.3.1.3000
en
REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
wStorageTank
wStorageTank
vector digital data
withheld
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude.
REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude.
REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude.
REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude.
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
Feature Class
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
wStorageTank
002
1
-180.000000
180.000000
37.131185
-70.748148
Utility
Paducah Water
Storage Tank
Distribution
All Paducah Water storage tanks and attribute data.
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20101104
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
withheld
Feature Class
Feature Class
Vector
Simple
FALSE
11
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Kentucky_South_FIPS_1602_Feet
coordinate pair
survey feet
0.000250
0.000250
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
1.000000
NAD_1983_StatePlane_Kentucky_South_FIPS_1602_Feet
EPSG
5.3(9.0.0)
11
wStorageTank
Feature Class
11
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
MUID
MUID
Integer
4
10
0
WAT_ID
WAT_ID
String
50
0
0
PWSID
PWSID
String
7
0
0
OWNER
OWNER
String
75
0
0
WT_ID
WT_ID
String
75
0
0
CAPAC_ITY
CAPAC_ITY
String
15
0
0
ENGINEER
ENGINEER
String
20
0
0
TYPE
TYPE
String
25
0
0
OVFL_EL
OVFL_EL
Integer
4
10
0
FOUND_EL
FOUND_EL
Double
8
38
8
HEAD_RANGE
HEAD_RANGE
Integer
4
10
0
MATERIAL
MATERIAL
String
25
0
0
NORTHING
NORTHING
Double
8
38
8
EASTING
EASTING
Double
8
38
8
INSERV_DAT
INSERV_DAT
Date
8
0
0
OTHMATER
OTHMATER
String
50
0
0
INTCOAT
INTCOAT
String
50
0
0
OTHCOAT
OTHCOAT
String
50
0
0
CATHODIC
CATHODIC
String
10
0
0
PRESSURE
PRESSURE
String
10
0
0
PRESSWITCH
PRESSWITCH
String
10
0
0
TELEMETR
TELEMETR
String
25
0
0
AVSIZE
AVSIZE
Double
8
38
8
AVSETT
AVSETT
Double
8
38
8
AVMANU
AVMANU
String
75
0
0
MAX_CAP
MAX_CAP
Integer
4
10
0
MIN_CAP
MIN_CAP
Integer
4
10
0
UNITS
UNITS
String
10
0
0
PNUM
PNUM
String
50
0
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
Enabled
Enabled
SmallInteger
2
5
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
GlobalID
GlobalID
GlobalID
38
0
0
20211020
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwCxbW8N
yhLEmOQ9JFFVbTSrtpWvbKVNkUv7qKYfe2nruHv7dqbpc17MojXawdvIDEcrxy3uABXVQQC0VIEX
CoAAD6V58KSfxanbFKRN/wALN1VCYZdPt47heqvn8xzyPpXd+GdXl1nQ4L64WOOSQsNqHjhiO/0r
zq9sra/jMc8eMfdYcMp9Qe1YbDUNCuoJZJpnso5FbzIyRtGcncv9avmqQlzXuuxnOkraHvNFct/w
sLw8QCt1IwPIIjJroLC+g1Kzju7Zi0UgypIxXVGpCTtFnO01uWaKKKsQUUUUAFFFFABRRRQAUUUU
AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB4foWQWYKCAWiiPTA
By7fnhfwrpIolcsZgd596xrCF7NEWFRJFGBEAR8z7fvHPTJbNasdwkhMyuSn0rnnT5Erf0ztpSvo
x7RBt3lybtnVW7Um5ZLVpZF3DGGGM1FLtW5HkSsDMN0q9RgDH4GkQYfgHA6jNKUbWLi73Ob1PQDA
pu9OBAY5a26Aj1X0PtW14Y8cXlrFaaaqReSJAhLLhhk9PrVq5nUNGgQk5zj19hngn2rO1HRYNYjF
zZOsF4ON5BCyY7MPX3rOdGS/eQ0OSpVgp8h7LRXzvPeajaStaXMs0FyOApc4b3B7ivS/CXjTT49N
07S7uSY3pIi3FPlJLYGTn3Fa066k7SVmQ46XR3tFFFdBIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHmKxQx2kSxMG2qFXnOfeqcube4Mi/LGx/
eKPX1pFIiv5goC/u1OBxk5OTVpo98eCc5HINYv3Jd0/1O5e9HzRBZqHaWfAO47VJ9B/9epT8g5xg
1ClvLaDbCwCdAjjj8D2qSOQTzqkibSrgOvXtnj2omrtyjsEZcqs9y1L9ni0hyyB3fjYe7HpS2wK2
kMQQrtXBBOcn1qC4ktb3UFt3ICIu7G7BLHp+XP6U+5srhY2SG6mUqAFGRjH1q1Fcqg3a+p5FSUk5
VLXC5sLPUFMF9EssY6DuD6g9QfpWE3hG7trlLvR75XMTh1huh0IOR8w/qPxrYsLO7UPJ9oLMTwsg
4P8AUU+G9IhZ5InRCSN6/MCQcZ9qiph1dqLUrdhUcQ5QUmnG/Rkc/j7xfYvtu9Fh9miiZwf++WNU
h8WNVDbXhslb+60bqf8A0Kt2eYG1XbJvBGQx689KqhIZkFtNDHPG3VXUH+dZqnOf2mjvox502bng
vxbd+IZbtbwW6LEqlPLBHXPqT6V14ljPR1/OvG9R8LWsb506WW0lc8KjEqfqKw7qLVtMJE6zbB/y
0iYkfiOopuVWlHbmKlS1PoIMrfdYHHoaWvIPBPi+x0j7Yb2eWQy7doHzHjNdj/wsbQs/enx6+Wac
MTCUbt2Zm4O+h11FZWieIbDxBFLJYtIRGdrb0K81q1ummrogKKKKYBRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRRQB5Y4A+YqOnFT2486VNvB65zUbHKbAvvzRG+zj/AL5rlR6T
HXUpkcbmyV9BjNZ8srWlyZ8jDr0c4HHoexq7sZsncB25qjd20c0yW0ZKrISZEPIIHJPtyQOPWtqH
K5WlsZVbqOm5PBaQz26yTrmZ/wB4Seoz0H4DimTo9pLbpFJPEHOGO7cPbiozG8M6R2cnlgAlgeVA
6Dj/AAqK7muXulSTcrwkOWjUuG9Bx0rZXcua+mr9Pl/w5jPl5bNa/wBdTXjEj2JWCQvMCVJx3Pep
22WVlHDtVhnjBrPsLhZXuGicKNw3A8c45+lWZFO5N4CgAgNnIJrlUk2o/M54QU6l+hnytLBc/wCj
gCLbvMWeFA9Kmhv43CF/3Lt90Pxn6GmwgPPcELuJbb7YA/xJonjVD5j4ZQmAuOhNehaD91rU6oRc
FeGxbkkk85CwywGQMZpfNMxVZV7/AHv/AK9Uo7JI4htdo5VHLI2OapJrUsEbRvMs2+QqqDAcAD07
5x+tONBzv7PWw5V1C3Ppcs6joen6i5PlJE7HiWPAYH1rCuPDer2jsYEW9iHIKkK+Pp0NbdvrFqUB
mR4nVfn2oTjPrxita3vBwImUg8jJ6iuKph41I80o6dzjqYn3/cZx+jeL73w809tb4hkkOWSeP5sj
611vhvxzq+o67Z2l1JAYZWIc7AvGCam1Cx07UYdmoW6Onqw6fQ1xF/oE1jcSPpM/2u3QjMRcb1z2
U98cdfzNczoVYa03dLoVGvGWk0e9+bHjPmLj1zTwcjIr51iuvtCFfMcNnBViQQR2I7GvWvDfjHTb
lLDSgLgXRjCZZBtJA9c1dHEqo+VqzNJQsrrU7CiiiuozCiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKAPJY5pxdvbyRKDsDblbIGc+3tViSSBpNnmL5irwuelVxMEtru4fn94QNozlQA
PyzmoRCs8McBiVpZTvckZ2j+nak6cW9dF+vU6lUkl3f9WLk08NtHkzIW2/dZ8AmqUAh1J/7QkBXY
37vDfdA7fjz+FF0zJm2ggSKV22KwAx9faprjTYpYRGQVKr96Ntpxj9aqPLTitbN9fL0JlzTl3t08
xbGKDY00aKnmsWCgY+UdMfz/ABqaWIBm+T7/ACc1mxz3Y1EabHwm3f5rdVHpVy5jmKfur1yVOWPA
4pVaTc/ee/q9OhVOouW0Vt+ZJdQ2Mdo73tvlEXLOvB4+nNVWu45rMNYzyvIV3JC+WB/E8j8eKW1s
UvhILieeS3wMLIcBj/hUthbxQRPcRqEWQ4wo/hHA/wAfxrWNCFOGrbae3T0MPZuc7xVr/eV0vJbP
So5HtDhuFywDMep/OqzXlxeyIHbyEDYMKkF/r0OfpVSPVpZZzb3aErBMWVhwe+OP1qjcaxO915kO
YYjweSc//Xr16eEbb91c29+n/D/I8+pipqafN+7ta1tb/lb5mx5bXE8xhLSoqhZFm4yQc4xiq9nF
9jvbVWgESu25ih3dsHgeuRVEX7R3fnRzB96fOB0zUserRaajqyPNJnJIAHHGD9OaqdGrGDjFXutv
600FOvT+J6NG3qllB9jlkecRvcNuZcgAgdB65qbS9OjiWF7GTYNnDMMhh7j1rCt9V/tZ2aQQxRLG
Rhxux05+tPh1dtOP2aMiRE+aMux/efQ1i6NZw9lf3l06f0jlVSnzc3TuTazq11Z3kVu0ojVzl3QE
5H07fnWBb31zDfBbi4kX5mfe2QRn6euB61NrupnUPLBhjjlQ5yrZOPSql7qMl5ZQ27ohaMbfNPLt
+PpXp4bBxVOPNBX67aeaOStVvJ2l6C390t80lyZAl0gULIBgSAdmA7+hre+H+pR3Hie1E+EkjJ3b
uO3WuUls50t1nkgcRscbiMDNUwWiuI50J3BtpHqDXBmuT0HSeJo/FH7tDrwWOqKapT2Z9VJIkgyj
Kw9Qc06uC+Fkom0a7fd83nYK+nFd7XgQk5RTaPZaswoooqxBRRRQAUUUUAFFFFABRRRQAUUUUAFF
FFABRRRQAUUUUAeJTyzQxC3cPGMhefu7cc89OTVya+hivYZIp0VmADbWBBHfNSSXCPBtlt5nDOMA
rt5J45/Gmfv21BQsFuSIyfvHA5+lb86mlzRtZPqtRU6DpTk1Nvma31t6Aka3OoS3gKuB8oK/rUwu
AXCxoZHzjrhR9TTZknlilQukY2n5YRyx9M9qrxWs4vbVWdJVWM5jUbdhx1PbH+e1ZWhO8pPZbeh0
Obpra13q/UcGvpdSnLIsQAA38nC4zx+JpllZySGS5uPnz0z0Kg8HFOurws76erbWIKiUsByBnGDz
+NVLC2vIQEi1AyRv9wMuQo9Mf4V3Qs6XMrRul816nPGpGU1a8lr9/oJcXxub6SOK58uAERqpO36m
rVjKpUz+a6WoOxEZuPc/0qta2oH2kyI4EAO4qM+Ye5zjrnjAqabT4bfTocDZJvUggZLMTnbz2zWl
aVOMeReS/r+upmpzh+9lr/X9fcRTBbjfNABIHclwUACjsc+uOfxrF1GW4LBWjUBmwfLXAI+v9a62
QJHuQTJAxYjdgYY4965zUC4AfzIVZ3OJVBBwPYeprbBV1JppadP6/pmWLhanzJmYkRmu1VE3I77A
u7kDv+lbep6Jutgtu+2TbhUZuXA5xUUOkTwaebt1Ert8+TnKj2HQ/SopGW5WGQOwj+5h8jng8emT
jp+VaVsTKrUjKjLSL10vr/X3nnXSg4uOrMgBIvMMiSqwADADHTioWcLEpZiSD8oY9BW/HBaXjy/a
ZEW4Z8cvw3Uc9OOByKyJrRbUzLcuHKttCo3PHt2rvo4iMpOMr82n9I45QaV1sQKVeIMyDar8sByf
xp8Vs0jjyI2lbkOo7Y54P+elbGivZ20U/wBviLRhAELfMMe3asq4lutOnfyDsDrtDqB068Ef5xXR
Cu6k5U4brvsxOCjFSZ0GoRPquh2jjPm4AO05X8f0rl7uyaMSxFfKdflCjklhXVxKb1LC2MJtxGnm
yrsxwBgY+tU9QSZk8mSRTIG/cll5Zfc+v1rz6NTlvQls76eTf9fI6pwbtUW6sVNC8UaroqOlhOsJ
LbpYnUHmu48JeNtS1TX7e3vr2MW7Bi4KheQpI5+teeNDbG1SO6iRZlYqJI3w6jPfjmpo9DlmhMun
Xnmyooby3wpbOeAQBg8d+K+dxuAq4eouR3XTzPWw+MjVVmtT6LiminBMUqSAHBKMDin1454G8cQ6
LZTWF3a3Elw0xbAIBHAGDnvxXr8EongjmAIDqGAPUZGaxhLmWu50klFFFWIKKKKACiiigAooooAK
KKKACiiigAooooAKKKKAPJ9SlkKwQJs3vIGUH0BHNEQlj1DDFZCIsHau3HP1NYbaxdS69ZQSJEmS
Y/MQlu27ocelbCRF9QnLzTAhVyUwP0xSp2lTsn0/X0OiUlz38yxO6Qq7Op45+tJGzS3zsI3iVlXI
OOWGef8A0EVVu4pZLc4uJDh1+8B6ipGju4ysgdJGXrnil7H902mtfXyMsRUUrxa2HG1i1CWZ5kVg
pEaq3bHUj8SR+FNlt5xamO1unDjojAHHpg4B/U1Lp5Zrfc4AfzHzz33GrKvGPMdjsHJGTxXNKrOE
+Va2+ex5kUrcxnjyI9P2GUq5wXCDDl+2QepzTJhMklrd3I8xIQcqvHOMbue3WppWW4+zyPbSMUYt
u2d+gqLVGu3tJPJh2DaFBLAk544rsVSUnGL6vW776FTruVNxfT9NRb+aCfTp8xMyvyoxkjtkY6+t
c7qE2nSpFDDBKkqAbZChyw9eD/MVtaVBczyTm/fzDEQojB49zx+FW9Rs4J1/eeUhUj52XpW9LEww
1VU3d27PTX8zGq5V4J9lYdby3f2BAIw2FADSsAT74GaoXOnqtnJNLcBHBEnlhisRYdyOv6imarfT
iDbBPChwTvQ5zj+HHrWJrD6gFj+3xFmCnkfd2nHp3q8Fg6tSalGSjd7ddPX9NjGtWjCLvrYcNYUb
LW3tYowhK52ZBOcZB96WbSpNR/fosUsjfI4BwEYD8f51nPezrEsSoqrv/wBTjp171sWgvNEui8lp
I8EiAkI24A+or161KVBXpWUtbK++vfR/1uc0JKfxaoji0n7BEDdu+5EOAi7t3XpUraZMbuCC8ELR
SfOAy4Y9BjI7gUx9Re+dlQCTD9XjB245ABrYmguftHmsWKJGPmVQCAOTxXDWr16bTqtKTv8A8C3b
c2jCD+FaIDLJ/aEnlmI7I/LJ2ZwM+ufaqN9aSSTiRGTp3PP5VJa3RkhbyoyXYF13cbskmqdw+8I1
5bOtyAQrIOK1owlGVu2nmdsnHk9dTNvrUNEszoxkEmSCPlKjvxxTLa++xyM8XzOzAFc4yT1/z/jV
q5CysLRXaJwAGVm496itNIF5meTcYY2xJg5JGOv4V60ZU/ZWq7f1Y4ZRl7S9Pcvatp7X226s1Bu0
QsxU/fUdj7+hrpfAXjjUtQ1W3sL64U24QrllVSMDgHiseO1NldC4hkZ7Yx8qvHHasfVkgtrlNVsP
kIYCeLGMf7Qr5bGUeWfNSV11/wCCezRnde/oz6GjljmXdG6uOmVOafXH/DqdLnQppUP3piTz04Fd
hWEXdXNnuFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB4l4a01BZRXciB7uRTIZG5IBPAHpxi
t22iaQ3MhbAL7Tnvgf8A165uPVY0G1Ilhv4EXaUYMsi8A46Z4I4x6U9dauba2WOWKXzHJc7Uyze+
WwBXTTpx9g6kWuXY5Z14xrKlL4nsbV0yvEiqoWPzF3fnUJ1G2jOSWbBHO4AfmeK5q/vLq7ZYQ/ks
Rv4bzGx9eAv4D8aqW0OnG4ZmVpWUkOZm5C9zmvPxNaEqfJTbv+H9fcdKozk7y0OhXXLdIVXz4NxL
NiLMrfMScfKMd6Y+spDMjyWs0jvwpuDsUe+BmuZst9rcuMhWVmePpyB0rQWaa/jEtxIXccGIgfn7
VhKq7trS4QwkFu7mnaaxqc+qwwzpBHbMxDBBnPBOcnmtJ7/LQxSEArMS3HGFwR/MVz+mzTtqdtEs
CiMh2UE85xjr6Vduv3V/tuEjAdwS4TcOgABzj6/hXRg6SqSd+3zOTGWpytE3bsQrE00i7JOqlepP
bGOtU71XuLHDrLwoZnYbRn8abcL9lXz47jzGdgFMsZJ/DpirE17NEPKul82Nl+XylwQfxaqhFx5X
HV39Nun9M5273ucYzNNKZY9yAtyw+7u7H2q0mn3WoxlZp1dhIF8wNuJOCcemK1msIo7W4MkVwjv8
y5Vm2d+v9asXJt9PtrKd0Eahudq8k7D6fSvbnmGyor3tlp5fj2ORUP59ilb6ZKVimdUdcHYMZ+8e
rfStyCC6t4EjjljlCLt+dTnFZOmXckSySXCzfIudmd3lg89PSte0vI7qISwnbkZI7j615OOnXu+a
zSfyOmioW03Mq1iWB5ImTn7QGICdOM8CtZrmGcNGWdS2V/1bd/wqG9BS8iuEjZmVcyjOAV6ZHvxV
2JklUeW+UPO4c1hiKnOo1Gt/PqaQVroxzaRjy4wBhOB7Cqt7ZrJcRFJnmwcbAwJArRkBEjKRzkgV
Rs9wvHkMa7VG3eo289wR617GHqS5ee/T8zoqRi7RtuK1rbSyeesZSQZ3EjnPqaSzhh+zSxQt+7Zm
XIPvWg4YgHGV7YqqkSJeIsQClwxYdAff65xTVVyi03/SH7NRadv6ZXSCWytQIsyIvytnoPf2qizr
GDEp32zHEuCDn14rotwEclvMFVHGCMEk/jWLqdjHaxKyww/JyXjA3Y/2h/hWVKu6tTkno2/v/wCC
KtRcIqUHogi1HVPCfNhcSjSZ23DHVCexrqvCfim9n1pRe6qklgyMSZ2ClG7AmsOxvzqNp5Cravgb
ZIyTyPy6Vy8+nSNqjwacTCd2wQMd65746HH49K4VhK7qSivs930OiVeCipdz6AGvaQWKjU7QkdcT
Kf61Jbarp95N5NtewTSYztRwTivAm8OavHsLrZeZIcD52GSP+An+ddJ4Z03XNB1E3xawyUK4yzjn
8FrD2rTs0aKLeyPZawNU8XadpxKxk3Tof3vk8iJR95i3TgZ461zV7fXN2dupaoGQ9YEYRR/iM5I+
pNRS3disWyN4XUptKQjfx9BWjlJ/Cmx8qW7PSAQQCDkGlrn/AAdqceoaDFEJQ81p+4fnnA4Un6rg
/nXQVZAUUUUAFFFFABRRRQAUUUUAfOtxdFIY9kUQZgdpGGKf4HGPzqO4vJZtgdnkYgl8k5x6c1Cr
B5do5J44FOOZHFtEqtLj526DHpXmJu1uh0uEXJSa1XUmSKyGxEBjKkEoF3Fsj17UwKkpfyzLGQOF
xx+Zqa2tlWaSSIYSPhiTx71YjUyS4hlV4SOCD198etQ3YZXkmkdvKhiGVUFiGCj8aLR5Ele6uZFW
UghR2x9c1O0SwW3krMWT77bhkn6VmS7pIh5WdpJxtPT8KpO4EvkS/bJLxpn8y3AljZJCOOu0+xxj
FdrAbdLmW4WOMzsFdJm5+TaBx+INcjaMw/dTKArLt+c4zirfh29Z9QGmXKKyjd5HfZgZx9OOPStK
c3G6b0a6HJiqfMlJdDYu1W41BZRco4MqkxgnA6D1xVi5i+1XMaK3yRHLsCQSewBFE2Lq++xiBwV+
ZnI6D1U1fhgGwIiBFByQK6qlVwjF9babbPqedGN2+xRv7FpIXlGozxKsbZiQ8Nx3NZmo2Vxc29vb
zSxpFGrSlhkk4zxz7GtTUp3aOSG2UMyqd+fT0+tU5p5rmC2mWNAZYHAViepIH9a6MLOslCWmjfbT
TT9dzOoo6o0IbQLYJHcMJnYYdmHUenFPuLOOSFQqrG4GEfncB7HNZ/2nU2/d4i4bCir8n24IomhT
jgnd1rmq06tOSm5LXXR/oOlWhUuknppsUo4rgXck5f7Qyfux5nBx7Hp+lS2lwi3Mw2qg3D5H4Ibv
+HSiCW4xMqwAgyHo460kCyMG862GGkbcWYHHJq53alz26LRopaWsQXlwI3k2IzOnzcDgfjTrRt0J
icBZupJP3vcUy/QW4kSKHKEgswbt+NTeWpO2RA3p7V6NNx9jG3U6oXbFyyNgnOKrRz/bLqZ1Q/uw
IyCMYPJNPeBgxMUjKPQ/MKitHmSWfKZRnyxjHpxWkYrldhyburmi/lvDt5LDsvNc9qls0lwWjjDO
mPMLdQPQHHFbC37tGhgt2C+5AFQ6lY/a9IcIG8wtuO0dTWVKc6Ndc+ibt/w5VWKq0ny+pzokurS8
JhWRSQeYjyQPX1rU0i+Zbo3M0fmFkIXeME9ScdgeKqG3ubWNHmikUoCMqSGx6k+ldTZxw3OluqQJ
sZCil+een866sdXhGmm43T0ujjwq5qrgpWa1sZ93ezXv2WW3ik83dvAfoRg9ga0dPnng8xZoJwrN
uC4L4H1601Ba/aEW4tVil28MMAAcZ5FRLeRRb4jqMn2jP3B82FzwenpXkSlCUVTSsv8AgvrqeklJ
Sc27l2G7txNODbyZL5BaA9x9KjutQiWRYfPkjhKMWwpDZGOB6dT0qIiJrvjUOAqsCQBzk1T0+5iv
LmeO9uGADfKVkAXkYIJ/AfnWsadN3qN7L+t0TKc17i6v+uo6DUhp+utf6TNbQiAKsil8CcHkg8c9
/fNep6Nrlhrlos9nOjnHzpn5kPcEVwsEVid3kCKTP3jkOTVnwows/EwjVU8uVJIhgYxghqmVaFT4
U9LbjVOUN+p6HRRRUjCiiigAooooAKKKKAPnN7R7a+aYr5kCnchX+JT0oYW4SR1V1J4JJyMGpxDM
0cDSMqjly27oKDbCQqkc6bDwMgHd9K8q51FZZI0iFsJGKyKeFJAJqskZEyxRgq4OCO+e9X/ssVjI
k80ykljtA5IPvUdyLWz8xPtGJpDkFgQQDyRTAa13G16jIWEPl7VyeAcUKqKWkMioCdyqp7VGLixt
bZY/JkmmPIYr8q8fXmjTBDqF8sJwnXLc4z6VVgHpuvJ3kc7wRkLjla09C065n1IalGwihjJVHIyX
OCpI9sVizxPCXaCWKQb9rIjgkrkZHpyK6ixvF1O0SbZKkUMwieJlAUcDHAJB6irpwUnucuKnKMbJ
GjaR3UvmXMU4k5I+b0BPQirH2pUBEqyxv6bSf5ViReIdDEknz3Ebgld8cD9QcdhzV/T9RGotL9nu
Fn8vqssDxsM/UCtZuM22/wDL/NHByTgthYrm38qRi7ruZiW8tsgflUME8aagm6d5fKQhSYiMZx7e
lSxTTwaeshRJELY2AHJyauhlS+IjUAJAvTjHJ/wraTjDm079V6dr9TJXdiCz1UyzzpdJs8s4jIUj
cKz9W1K5kv7ZbeZzHvy4A6Ctzy2Zi+Bjuc1HtVbosqhiYs5z71nRrUo1Ofk2W3Ta3b5lSjJxtcrW
9zBtdhKqnzCeTjvTGYT6i3kXORIu5tpBwQcf5+lWbVka3GVIIY8j60663Rj7XCm0xA71xjcvf8Ri
lzRVSSju9B2fKrlK9QxwyIzCRzgAkY59Kec7vmPOKV2jlB3Kd4IJ5BwajO0jIbg+9ehSa9mo9jsg
rLQUc96pTx7DKjtsSTJWTPCnHerarsyd2RioboNKEiQ7S5znGeBz/PFdNJ2kKorxJ40zDGsfzBVx
uznP41Zswwm2EY3Djn0qjHuiPkMy7GyVIHQ9SKvQzJFtKwgseMl81y4tNxaSvc1otX7WMzWLLzFl
L375XkRgZ/DFS21kbTTlmjmbYdsjhs4IAB/DpWnfxwzWro3ybBu3gZKkc/0qvbz/ANo2U1vcwkRk
AY5Bbvn2rGOKqOgl9lPXbbT7wdCCqt21a03KNo4mvDPdDaZkZlWQ/KAcYxWl8Pd83iy8IEbW4Qjp
zmoLqERq8aqESG1cjuO1QfCiWQ6+wfexkgJLE/0qalWM2reX3alRg43v/Wx681lav962hb6xg03+
zbH/AJ8rf/v0v+FWaKoRlXXhvSLsgvZRK46PGNhH5VBp/hPS9Nv1vIBOZVzjfKWAz14rcooAKKKK
ACiiigAooooAKKKKAPN/iHpWn6RpFrNY2ECSvN5Z64IKk8+vQV5V5RLnc48wfwKQPyFey/E9Ek0G
1DkjFxnI7fK1eQpos9yfPjZcOc4J5HtXFWtGZvC/KR4W3QeYcFj/ABDNOhg+1TcZfPy5x8tXfs9v
e6f9mZQskHJ55LVNpDNBA9usLEb2wT26cmsXIsqSQSQo5YYxgIB3JpYLKRGJCxKXXLEtxViGSSR1
Bhb5OSSfSk3+a+Ah3zLjeRjPtU3YGZKiQgqYyg55I6103h2LZp9wqhgTeJt3dchUbP5AmsG8u/s8
q2jEbJEJYP8Adz9a1dE1KKyHm3JxbyMWjZASN2FXH5I35100ac37y6anHi5rl5ephof30mz5hubP
GADuJrS0jUf7GmupFt5J0lVeYyowR1GCRTbGeGWElQMMWY478mq9lC9xp8ksZwI5SfL71jfVnS4q
ULM3YPGEVtbrDJp11hOSSE/+KrVjlna6eUQmTdGjLsIXaCW65PWuDe4a7PkzRlZMEby3Wu20e8aS
1jnmjZd8Kwlz0DrkEfrW8Lvmdrt/5nBiKUYcvKXnnvY1BSHZG7hSZGBzk+1Vil698wXy1QKA7ITn
HtkYq/JGZljVH+VWDMD7Ux1uYp2ZE3K6gcMBj86dOpG2iV7f1uc0osr2tufsaH7VMCRnGF9f92pm
tpmhY/a5CCCCCq/4U60ilhiVJguR0waslizBSwC+1RVqv2jatv2X+Q4xVjGsdMeKOK6inLSsPmDA
kH681ooPOc+fAi8/eQ8H+tRWs8sNokbW0mEUK2Bmn/bJAxP2ZliBxnIBHvita0qtSbb17PQmFoLQ
fLYx7i0bsq+h5qm6MkmWxyu0Y7CtQxsUy8gyOcVQaULcE4zgYp4WtUc+Vu6OqDbdmULvAjRgcFW4
/I1xkVzNIQ7XV2c88XDjn867S8AZOnUk4HsM1yVtIJrEZVeUG0hcEV04ybUY28zpopOTNW21m6t4
mt7jfdwsBhwR5i+xz94frWsms2F2yC3uFguwwAWYFCw7jHeuZWCRFjO4fvBwN3QU6eSR7aWzlVGT
pkjJH0NedGo4vQ6HFM6y8kLWt8WQxtHbEHPcn0PfpUvwrLLqzI3IMGQfwrj5NZuxZ3FrJvm3p5Yl
T2H8Q/rXY/C4smtvCduBCSPWtXZyi4ka2aZ65RRRXUYhRRRQAUUUUAFFFFABRRRQAUUUUAV7ywtN
Rg8m8gSaP+64yKpp4c0aNdqadAB6Ba1KKTinuO5kJ4W0KN2dNLtwzHJO3qacPDOigsRpsGWzn5eu
a1aKOVdguzJ/4RnRf+gbB/3zR/wi+h5B/sy3yOny9K1qKOVdguzGk8J6BKcvpVsx91rk7PwPMPE8
TXFjCdLiuZpAu/I2t5m3A9cuPyr0WihJLYlq9rmKPCPh8HI0m2Bznha881LwxqKaxcrZ6a62/mnZ
5a4UivXaKznSjNWLUmjwi58H60WmlOmXDMWwijGRS2nhLxHgW/k31qjoXyG+Xdk9R717tRSVBLqN
zvujwoeH/GcEqlrfUdh9JVP8qWTRfGJACRXyjPRsNXulFHsIk+72R4gNH8cMn7uG5YL6on9TT49P
8biPeySElsbTbqcCvbKKXsIitHsjxeTTPF+QQspUjnFuoNTiRn0qETF/PkUByF759uBXrtxxbS/7
h/lXlsWf7Lt88hnH86SpRhNM58TZR0RnldflnlGmWks8CP5e9jnpUQ07xqV3/wBjowIyxx0P5816
T4NH/EquDnObqT+ddFWkIvR31+RrThGKukeItY+Kcbp9FlKBWH7hfmBII6E1SPhXXjptpDDpVwjx
r8y7Ryfrmve6KqpF1ElJ7GsXyu6R4kfBmsLKA9lKGMYyxUH8sVBf+ENY+wrDFpk7O2P3mODjPUdq
90orH6vHuV7VngY8JeI4Ijt0aeXpkqQMD8TXXfD7Q9S0/XJJ7uylgj8ogM/rXp1FWqKTuJzbVgoo
orUgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAI7g
FraUKCSUIAH0rymKPUlFtDJpl8kEWDITZyliR2GFxiiik97mdSCmrM7zwhDJDoeJYZIi80jhZEKt
gtxwea3qKKFoi1ogooopjCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k=