<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20241111</CreaDate>
<CreaTime>14555700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20241111" Time="145557" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "Q:\Dpt-Pew Center on the States\GIS\ICU\EnvironmentEngagementMap_update_202410\EnvironmentEngagementMap_update_202410_MAP\Default.gdb" EU_point_XYTableToPoint Point GPLYR_{A42BEA80-25AC-4786-8AF5-21D43CFE205D} No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #</Process>
<Process Date="20241111" Time="145608" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint EU_point.csv "Q:\Dpt-Pew Center on the States\GIS\ICU\EnvironmentEngagementMap_update_202410\EnvironmentEngagementMap_update_202410_MAP\Default.gdb\EU_point_XYTableToPoint" Longitude Latitude # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>EU_point_XYTableToPoint</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooApXzOrLsYjiqQluWOFc/nVu9uYo7lE
kZApXJJz/wDqpu+ARGRSGQd0+b+VdEJJR2OWpCTle5VMtyDje351FJeTov8ArcHOOTTJL+OQkQxE
j134/TBqHzgesZx7HP8AhW6V1qiHQrdCYX8xcDz157BuamWedjxI351USaDcdyuMDP3R/Q1ML2OP
KpFIeOpAx/OhpLZCVGs3rcle7aL/AFt0qf7zgUkWoLKzqlw7FRn7pGfoT1rFvImlgLFTI4OSHUHP
6n+VQLJFHGpKFGY8BYyx/lUNM6Fh33NttbjWJ3DSkou7BGKy7jxPerCHhSPJGdjMc/h602cwlfOC
NG33dgiHze5xz+dNaAG2BRSsmMZkOBjtjr+R/OoSZUadtyWHxBqEyg7eSeEQgsR7CprjWL+JlTzx
FIRkJKOT7VUtlu4x9pgVx5Y2yNsRs8Z45+lXxqTu0YuLbchIBdQflPup5H61VuhUk1siWLUr8oN7
xk9+D/jSSXt+6kLcLGexC5/nVsRwXkDKhRuwZD0P4ViWlzK9zPbTKu+E4LKetXFQbtYdJ056WLy3
N8B8967f8BUf0qNrjVMnZf49NyA06op1uZIGFohMnQMQcD8cGrcIJao2cYJakkeq6h9qjtN0csrk
kksVwPwrXRJ/LzJOd/8As5xWRpOlSwSNd3pMlz91GJHC/QcVqSBm5JNYpa6HBWlG/uiGWUNhpW/A
0k1w0UW8NNJ/spyaiGCflBJ+tSKGAJKkAcmraRzxk7lIavLJtaKG7aMnaWwRg+4rRj+0OoJaRSex
aqB1+IKfIt55QOCwTC/rz+QpV1pvMAltWVSM7w4P88VFpHV7NtXSZplJB/y2k/OoWa7EuFXMf94z
HP5Yp0V5BNgCTBPZhUUmoQeUfIm+cg4bYSAfcdanXYnkle1hu7UxK25Yli/hPnHP48VYjdnG0zEu
OoV84rLgaBG3XSyXUjHO45IH4EACpJtQEbgWyrCowfuj5vb/APVTSl2L9jJmrsc/8tJAPUmo51uI
4S0ReRx0TfjNYzajfTrIgZB3UFOv9KX52yZXd2PXc2cfSqjTky44dvcsrf3CBjcK8ag4BSQPz6H0
qSK889SYrrOOqs2CKoiNF+6oH0FRyQeYTmRwD2U4rT2bKeFT6mwftY/if86gea7EjDzZR/wHNQx3
VzGoVZjtUYA2j/Cnx39yj5ZxIuOjAD+QqeWXZGTwk+5atjcSZJlcj34qxtnzjzcfjWLesb1cFEQn
qwyT9KfBNJCyEpCwTgYUqcfnj9Klwn2GsNKxrFLj/nofwNRnzx1d/wA6iXVTu+aDC/7L5P8AIU46
tEMfuZjn2H+NK0l0IdCXmWbV5DOoZ2I9Ca0qybbUI5bmNFiZSxxlsf0rWrCrvsa04OKsyjfR2zyr
50aFiOGYc/nVJ9PiS3kWGIPu6ISMZ9c9f1qXV22vF9DVAXDqAFYr64PWtoU24pownW5ZtMqmE2rF
XjKFj9R+dEYmlUSJGvlHoxfr+FWFZUcsPvH+I8n8zT8571uua2pTxrtaKKEzPbCSZ4nMYXJK4OMe
3WnQTx3EQkicMp7irwODVF7AW5ee0T5mfc8YwAR/jRzNPyNKOL5naZJRUMVwsqBgjj1BXpT/ADB/
df8A75rS53D6sW2nWt1GTNL5jntwNvt/+uqnmD+6/wD3zR5idyQffg1E48ysmROLktGXp7JrKxMc
Uz+XvBCDjAz7dqzmhV/3bMY1PIIXcM/jz+tTF3dQrNuUHIJJz9KjkmSLAOcnoBURp2TuRGnZO5o2
jxpZqIRgrw4xg596qzW4e4aeIKsj/eBOA3vx3quTKiC4QMh9AfvfWtNNl1As8I4PB4xzUqyZx1FK
nLmgytbwAEvOis54Cn5gv/16vKxXnOB2FV+Ub3oLM1W43OaVSUndjWsYJJnlCEM53NjoTVoCOG32
cKiL+QqBZGXoaWWEXcYRZvKz9/nlhUSVkXGbk0pMmtRBchnhfco71kXU13KXiud0Y3ECNeAR6k96
dDLPp7OsCKcE/u84B9Kpyzm8xLfYS5UY2K3A/wAaUVJu52U6Si7pF1UQWsj44jxgYBH5d6rxuJXA
VcKo9R+VRvcCSDynL8dAOmacgBwqsisDkt3rWKd7s6Yp3uyfyUzkjPoD0FSVGsmXCMPmxng0F23l
VA46kmrVlsUrIkpCobqAfrUbea2AMLzyQad5Qx95s+uaYx9FR4dOQ24d9xpBPk7Qhz+lFwJaKj3S
E8IAPc9aXeR1Rh+tAD6Kh80u/lj5T3p24ocOSV7Gi4EoBZgqglj0AqQ21wAT5Lce4qCN5E3yW8rK
WUk9xgVqpN+7VnOCRkg1lKck7I5q1aVN6GdJG0cW5mVX7Rnrj19qbFHNIgOFyefSprpQ9w7fwnHH
rxikVgBxxxTjzNXOepi2rKLLGnW6rfpIXJPp2/nXQVh6e4N2gxzW5XJX+IqjOU43kzH1n/WRfQ1m
Vq6vnzI8ehrL2nGcV1UfgRxV/wCIxKcpAOabTJM8AFh7gVqzEsBwaerEVWRcuMl/xHFTgY6VDsUr
lYd/XPNLUsse5Sy8P29DVRJHcdFyKafQ9mhWVSPmTUU1XycbSG7D1qXyJ9wHlEAjOSRTcktzWU4x
3ZWceUrMWwg5wBVqCziAZrgdR8qgnI+tLHAjmVJ+CnGw96HY7+TUfE7I4sTiHH3YjojFaKVt4gme
CepNS/bGaPZ09xUDMDwKEGTT5I9jgdSTe4plG/GGJ9cVLEQyFsEc45FViCpI/e8dwaejEgklvo1L
cQ9jioZ5Hjh3L97NSA8FiajnuEUBQ2WY4IxTfY0oxcprS4w+ZM4PmD5R1I7UNaRl2wVIIyScGmRo
ckkAL2WhS0V0rpt6dxScXbQ9SVOf2XbyKcsJhQTRLtXdj1/KrEBIklE0SM2NoLHtVx5y4H7tQe/p
UXnoYCWgBGOcHnFTysz/AHtrSiRPsVf3QRHHGc5Bp1kzXMMySIFYjcrHjp2qCFZJP3jooGSduMd6
miBLONh2rzz703G8extyrlsRruJLbgTnoM1HLdOhCoAwzyx7VPMVMYONwB5xSMFIGV2r2GOTVmgi
bpwrFgU649amKKVwRxVcR+SyyYJ7EA1L9oi4G8A+lNeYx2xx0fj0IoKuwwzAD2oWRXYqDyO1PpgM
Cqp+VctQI5JZ2gPybevrUkbMs8ZVQx3Dg1f1G3BJkjkMcrcE+3tWM5tSsc9ao46XKUqG3jEcbLuc
hTxzik5zyxY+tOjtkRScs7joWOTmozkkDnFXCN3dnmVal1ZMfnjrxSZAOMjNNlb92VAU+obpUakB
h/q+OnNUYmjpwxep6V0FYOnPm8Qdq3q48R8R34X4DJ1gEyREehrP3ADn9Kv6z/rIvoazAM8ZropL
3Ec1f+Ix7N8uVXd7VEy7iDkjHpTypFNxxWiRixFyrZ3sfYmp1O4U1MEdOafikxoKjaFSWbnJ7D1q
SipsXGTi7oqqVEiMw5U5I7irJuoVkWMZkd/fGKRkV/vKD9RUEtmjt5iZVx0Axg0panS60KrvNWf4
EsjzAmSRFkyQMKpB9uahEwZmGyQFTzlTUqXipAkMhdXTghgSc/Wo0umeRg0RAU4yGyaUdNUS6U56
WvYeVZfvAipEGBSrIlwSoVlcDgHHI9uaAhTg1fNdHPKm4OzGyHjFNCZGQakZdwqPDKapbEMkGVQl
cEhSRnoTVEx7gzuAWPT2q6E3oyZ2bgRu64zWYVe3k8uVg79MLxn6c4qep6OCasydcogIyy46d6OZ
CGHyjse5qu7uAMgrzjBbgfgKnYOsf3z06ADNUd4qs4QscMB17UkYk8ocr06EUwSbrcKBl8cqKf5x
2EpG3Azk4xQBKv3CSRlOHx6dj/So2lQYZX+ZTkFecU3bJ5TSRkiRx90njB7GpomjdwNpb13HGPwq
NtDKT5Iu6uhLeMyAtIoYE5JI6mppbUSYeLClBkqTwalzkDp+FOQgOM9KVtNDzvrEufmRTzxk02TT
3nXzUZY3A+XK8n/CpWXy5wGBC54JHHtVkMx4BGT0Jpt3Wh1V8S42UTKZjGVMYy2MNu7Z71YtlluF
DDBBbaTj7v1qzcWwluoFjKRF0cZ28E8Ef1ptlZ3MDyyMpQH5cE9fep577aM0df3OZbj2jjgUETHe
D9/GMfSmvK7tljmkvoSYG+YqwG7djgY+tVrWaSeEGQfP3FOFrnnVXKceZsuIe9MkGD9aeBxxjNNd
HPJ/SrW5i9iLAPUUCNc8KKcqHPOadsBGQaoRa05MXiHNb1YGnE/bUFb9cWI+I78L8Bj6z/rIvoaz
AcHitXWFLSREehrOCgHk10UX7iOWv/EYqvng9aXaD+NMkG0inDJwQaszHUUUUhhRRRQAU9GTcQAc
juRxTKKTQIhvJNqhSMn7x56DNVHYSOnlqC3XngirU8SswlPJXjFVgQkpLKS5zg+1NHrYW3s9BDFJ
kNuy/ucY/KrVtcBG8m5dmyPlfBOPamKwYZFLTcUzadOM1ZlnjqCCPUGiqmAvKjB7YqZicAE845pW
6HlYij7LqS0ySNZB8y5PseaI+5qQjFDMItrVECwRd4wec/Nz/OobtBGVdFHfO48D6VZdscDrSSIs
0DK2emQR2NDXU3o1pRmrspQq7DlyAOgWh8ROqqzgsTkDnNOAaFMg5QevWmtIrSB1w2xST9Ko9cEV
vLQI7cnBAq2kQjX/AGj71FbyI04YdWQj+v8AjVrjj9Km+p5+MqSvyLYBwKcOGFOA3jsCKaMZ5pHC
EmHPIBAPGaSo8kt1pSSozVWFciujJtIHzKSGCk9GHp6Vdkv2+wxPGqyOflbJ4U471Vyx6jI9KWNp
IldIxEVY5xImaylT6o66daLSUisJZIS8shaQsccdPpUgkRfm8sKu3c2OoPpgU+bM6LEbaPrk+W2O
alS22x+dcxxxAcAscnFK9vIKjjN3SGJPE5G1wc1KQRTbixja33WrRlFGXyeveoHhlyIWdjGw/g5A
pqd0KdGKV0y2U+TNMo8yWJem9OPqKVs4yKtM52iWwGL9K3qwtOQ/bEJrdrlxHxHZhfgM/UQNyZ9K
xmIJOOma1tWbaq+4IFY9dFBe7c5sQ/fZKFzjPNOBwegxUQcipFbIrRoyTHEg9sUlNd9gBwT9KRZN
zY2t9SKQx9FA4pxAABwaQDaKKKYARkYPQ1TlHlTRgtleeTVyqc/z3QUjgDJoR1YSUvaWWxGXAkDJ
0zgntU9QzKFXKgZz0x1qayQNgOdyoMk9j7U27Hpykoq7HwqHcnPCj9afJ0qUkNgKAo9BTHTnmknr
dnj16ntJcw2PGKfSAAcCloZiRydR60NG7QsFwD1p5UelOV8sD6UPbQcXyyuZ0vmlQo2ZJ70xwWzv
2hxxtHerE8LrcBc4UcgjuDUflGRxGuQcglzTvdXPc51y83Qs2tuEjRmfIAJFMjy8wYnoM1aZVHyK
OMYxTTEsQwmQe+TUo8yVbm5m93sOVhg/lQRx1pgDZ5NEmdhxn8KZzBtx93rQ4ygB61DggjiX65qz
tyKLisQZNORSWAJwKkMQGTTFfa47iqv2C3ck8yGAsytvfsAOM1WZ5JDmSRmyckdvypMbSVJzg0A5
6c/SpUVuz2aVKEI3Q5JHjieNcbX68VYsyjjyW+9/D71VoPHOcY5z6UOC6FVKUZqxeMZ6DsahUhpG
wxwOCMd6kt2ZgpbqRk5pzfxDoCajU8cmtCftkYBGO9bNYtgMXi/jW1XNX+I7MN8Blauhd4+vANZv
l4HPWtXVJChTB7GshnZzya6aN+RHLXt7RgFz9aTlT1p6gg9KUoDWtzGxC7crw/1U4p0eS+dsg9ya
fs6U+pdhoKc3QUgGaGI4xSGJRRRTAKpbg9xI2Qdvy8Vd5HQZNZWksbxQQR5srEshboe9K9mdmDST
cmaMNo1yFkI2xA53E4z9KfJIi/JEuEHQVeuPKVEt1kjRiPlTdgn6Cs8wSqxHykfWpg+bVkYmrKTt
0ASeop4OaYY3UcgUqgjrWjscupEyl3O5Vz/vdqdGNrHCqM9cHNPMaMclQT7inLGgzsUKT6VIxGzj
imqCD0/OpCpHakp3FYQ7CfmQOegzRtVOgAz6UuKYFwcsaLIpzla19Byhmk3GnscnJPNCvgYABpS+
ewpCImJB6cU6jrUwjRsAbiT3GMChtIEmyP8Ah6ZpMHGe1KylGwabk+tABTQu05U4p/FJTAjMQZix
AJPXNOWWSM4HA9MU6ijQblJ9SFoxJIZANrnr6GkWPLgMyZB5UZNT44zSgJycYY9TjrS9DeOImouL
YAlTkVYVlZCxIUDk5qtT1tBNhjI23umODUy2Mqau9R+lyO95jG5AThyME1vVmWpVbhEBAx0AFadc
tXc7qLTTsZOrruki57GqAUDtWnqgJeM4zgGs/cR0wK6aT9xHHWX7xjcGnYA6n8KTJ9aSrMhQcDpS
UUUwAtgU0ODT/LYj7tJ5B/uGi6CzG7h60ENjrmlKqrbTgH0JqQROTjbRdBZkYPtiqy6dbJd/aola
KbOS0bYyfcVeMLKpZsAAZNUn1CD7tuRJJgH5hxzUScWa04zv7pd86QjG7P4UhDnGags4IrlmaWWR
5VOSudu38uoqzLuLdDgUovXYKkHF2Y0q3RuAfXikK5P3sD2NNOe9FWZ3EHTmlzjnNIV3cc01vLU4
dgCOeTT0Ek3sPM3v+lMMhPSkV4eSHU496USQn+IUXiV7Ob6BvIHNMZs8k8U7zIsfeA+tG6EgkkH2
HejmQeyqPSwgm2jGR+dHmkngioSQMlI0JJ6bcYpVdx0jiX3HpTv5GkcNVl0LCkntT1IBzzmq6yyD
O4KfQjipYpkZysg2gDJbNTJ23G8NVj0LJxIMbhmoCMHFNaeMH5FZvc8Uzz2P8Cj8c0JMaw1WXQlo
qM3EmMAIP+A03zpMdEz64p69ivqdQmoqEXEm0Bo4yfUEil89+yp9aNewvqlUlp33sdjVfzn7hT+G
KetwuPniOf8AZbilr2E8LVXQk2n0pTJKq7V4FMW4jA53Ln15xThNGx2rIpY9BmlfuZypTjuibT9x
vELHNbtY1iGF2mRWzXNXfvHVhvgK10m8j6VTNmpo1MXRnXyfM2bf4aynsrhwQY5ue4Jqqd+XRmkq
Cm7ssTJIsTskLAr138A/jWdJdzNKkcYRSRnOCRU39nXOAD9oIH94k1KLOdRgQOB9K1j5yKhhoLcj
LyHq2PoMU1t7qVaV8H3xU32W4/54P+VH2W4/54P+VaXh3NlTprZIgUOhJE0vP+1UiyTL0nk/E0/7
Lcf88H/Kj7Lcf88H/Klen5D5YdkU2tInuWndd0jdSam2jOctn6mpvstx/wA8H/Kj7Lcf88H/ACpp
wXYq0SjLNMJAvlOVPG/dwKtRWdpE67pEBxlmUcAfU1J9luP+eD/lQbS4PBgf8qiXK9pW+4Vl0NDT
4dOZ3NtMZXI+aQHimXN7BFJsizIe/bFUVs50BCQOoPUAYpfslx/zwf8AKs1BXu5GbpRbuy+rxPAH
cojkfcY81my3xB2iIf8AARmn/Zbj/ng/5UfZbj/ng/5VcVFbyJVCmMFzLIh/gDDB+XBpiqFGB+Z6
1N9luP8Ang/5UfZbj/ng/wCVaJwWzNoqMdiKipfstx/zwf8AKj7Lcf8APB/yp88e5V0RUVL9luP+
eD/lR9luP+eD/lRzx7hdEVFS/Zbj/ng/5UfZbj/ng/5Uc8e4XRFSYGc4qb7Lcf8APB/yo+y3H/PB
/wAqOePcLoioqX7Lcf8APB/yo+y3H/PB/wAqOePcLoioqX7Lcf8APB/yo+y3H/PB/wAqOePcLoio
qb7Lcf8APB/yo+y3H/PB/wAqOePcLohoqb7Lcf8APB/ypPstx/zwf8qOePcLoqzyCNQMkFyFB9Ca
07GywVdoo+Bnfv3En1FVjaTsMGByPQihbS4U5WGQduKznaW0jKpHn6m5DHiUGrlYVkl4t3HuEuzP
O7pit2uSorPcyjDk0CiiisygooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z</Data>
</Thumbnail>
</Binary>
</metadata>
