<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230509</CreaDate>
<CreaTime>16453600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230509" Time="164536" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "C:\Users\abloomfield\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\DSEC\DSEC_28Dec2022\DSEC_28Dec2022.gdb" JROTC_USMC_9May2023a_XYTableToPoint Point GPLYR_{4F38F2EC-6CF9-4F3E-A342-B1C46B0CE24E} 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="20230509" Time="164536" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\XYTableToPoint">XYTableToPoint JROTC_USMC_9May2023a.csv "C:\Users\abloomfield\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\DSEC\DSEC_28Dec2022\DSEC_28Dec2022.gdb\JROTC_USMC_9May2023a_XYTableToPoint" X Y # "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/>
<searchKeys>
<keyword>DSEC</keyword>
</searchKeys>
<idPurp>JROTC locations for the USMC in Spring 2023</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>USMC JROTC</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+Pn6/9oADAMBAAIRAxEAPwD1Kiii
mSFFFFABRRRQAUUUUAFFFFABSB/Jnim7KcN/unr/AI0tIyh1KnoRigDd6r9KSq+nTGa1Tdy6/I31
H+QfxqzwPekUJT1/1b/Uf1puR3A/CpEXdG4Ug5xQBFRT/Lb2/Ojy29V/OgBlKPvD60vlt6r+dOEZ
HOV/OgCM9TRT/Lb1H50eWfVfzoAav3qSnhCD1X86Tyz6r+dADaVuv4Cl8tvVfzpzRnI5Xp60AR1J
H9yT/dpPLPqv51IiEK/IJK+tAEIBNSxMoyjHIamFGPUj86PLb1X86ACQlXI6fSmVbaMSR5YDcB1q
v5Z9V/OgBlFP8s+q/nSeWfVfzoAQfeH1oPWnCM5HK/nQYznqv50ARkAjBGaYYIif9Wv5VP5Z9V/O
jyz6r+dAGDRRRTJCiiigAooooAKKKKACiiigAooooAm0+Xyb1k/hlG4f7w/xGPyrXYdx0Nc/ISgW
VfvRnePw6j8RkfjW/C6yxjByGGVNIaEpyffx68U3vR05FAwopz/fOOh5ptABSn7oH40AZ+lKWPYk
D60AI3b6UlOZjxz2pNx9aAEopdx9aNx9aAEpT2+lKCepOBQ5zj6UANp8f3ZP92mU+P7sn+7QAyii
igCZZijbTyvemyx7Dkcqehpr/epUk2jawyp6igBlFS+Wrfcf8DTGRk+8CKAEH3h9aD1oH3h9aD1o
ASiiigDEooopkhRRRQAUUUUAFFFFABRRRQAUUUUAFXdLc+Q0WeYmwPp1H6VRYlVJClj6DvT9NmcX
zK8RjEi8ZIPI+lA0OudPkjCsL4xFu5Jx97P4VLNYSPjF4QwLZIPUnOPy4/KrV9ZLfQIrMV2k8/UV
WOlAnIncZlWQ8dcEnH60hjWtZzOdl8u7JYKSTxk9v0/CrllBNBb7Z5fMbcTuxjj0qOHTljKvvy0e
MHHJAz1/OreSetACk5+lJRRQArdvpSUrdvpQB3PAoASlwB16+lGcdPzpKAAnNKe30pKVu30oASnx
/dk/3aZT4+kn+7QAyiiigBz/AHqbTn+9TaACnrK698j0NMooAnUxyH5l2nPakeLcMoQ30qIfeH1o
yQeDQAEEHBGKSpBM3RsMPel3RHnYfzoA5+iiimSFFFFABRRRQAUUUUAFFFFABRRRQAUhYxskg6ow
NLSEAgg9DQBuqQ0ZI6dRSVX02QyWyqT8y5Q1YpFDk+9j1GKbSqcMD705kO49hnvQAyjrThsB5yaC
W6dvagBSAADkZx3pCM8lh+tJtPfig4wAKADA/vD9aMD+8P1pKKAFK4/iH60pAP8AEOnvSN1z60lA
C4H94frTwAsRO4Zbio6ef9Uv1NADcD+8P1owP7w/WkooAe6jd94dvWm4H94frSyfe/AU2gBcD+8P
1owP7w/WkooAeFAG7cPbrTcD+8P1pW+4v402gBcD+8P1owP7w/WkooAxKKKKZIUUUUAFFFFABRRR
QAUUUUAFFFFABRRTZHWNC7HAAoAt6a+26kj/ALyh/wAuK1SEBJOTnnArlknkW4eU3KxLt2rsHJHX
qf6CtrSrkXViDv3sjFc55IzxSGi/vOQFAFEp3EN60i9SfQUoGYznoDQMaBn6Uu/jHakJz9KSgBSM
fSkpRypH40bW/ut+VACUUu1v7p/KjafQ0AA5+X8qSnKp3Dg9aTB9DQAlPb/Vp+NN2n0NPZT5acHv
QBHSgZIFG0+hpyqfm4PSgBrHLE0lFFABRRRQA5vuJTac33EptABRRRQBiUUUUyQooooAKKKKACii
igAooooAKKKKACoriLzrd4/7wqWigDPX9/apLgZQgSKR1wavWkghvIZtgTLGNx7H/wCvj86qEi0u
pC4xBLg57K3v9alSMxuX8vzQGDBS+BxjH8qAND+2lie4WWI7VfapHfkj+lPOsKLh08v5AuOuDnIH
4DmmXV8iWK3EUKOS+0qw6HnP6imHU7c+YxszwgLHYME+lIom/taPn923bbk4znb+X3xTrPUVumRC
mHZAxx0zgH+tQy36OhaK1DDK5U4yQQDj+X5VoQiNkWVEVdyjBxg4oAlXv9KSlX72PWkoAMn1oyfW
iigByH51+opoJxTk/wBYv1FNHSgAyfWnsf3afjTKe3+rT8aAGZPrT0JyR6jFMpyffFABuPfn60ZX
+7+tNooAX5fRvzo+X/apKKAJDtKryRTcL/eP5Uh+6KSgB2F/vH8qML/eP5U2igDEooopkhRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFACEBlIYAg9QaiihMLbUb912U9V+h9PapqKAKjQ3CXETRyhxvGEYd
T7np+ldKEVkbci5I54rAnRmCsJGXYdxA74roYWDpuPdc8Uhox/ELa1HbWjaFb2ssxnCzefxiP26e
v/1jWsOg/pUvyeXxu696btGM7h+NBVxo60p+8frSjaD60rFSxyuOeooEMopcAng0bfcUAKn+sX6i
mjpT0HzryOopu3jqKAEp7f6pfqabt9xTyv7peR1NAEdOj++KoXd7Ja3kUXlq0Tozs+77oXGePxps
GtW7su2OUk7sjb0AGcnn0oAv0Vlvr1rEF3pKC0JmA287QCfzwDTv7bttjsVlAjQu/wAv3cMy4Pvl
TQBpUVBZ3cd9bLPEHCt0DjBqegBT90UlKfuikoAKKKKAMSiiimSFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFADJTiJ/8AdNblv/qE/wBwfyrDlXeoQHG5gM/jW+owhH0FIaF/5Zn/AHh/WkH3TSj7
jfhTQcHIoGA60rfeb6ml4PI/EUjfeb6mgAH3h9aQ9aUfeH1pD1oAOnNKwwxHoaSlb72fXmgBKf1h
Ps1MqSMZjkX2BoAhaNGYMygkAgE+/WkgtLeMgJEgHPQevWpNp9vzFOjU7u350AVTZWzMGaFCduzO
O2MYpTa25bJhTOCOnXJJP6k/nU+0/wCTRtPt+dADY1WKMJGAqjoKduPrRtPt+Yo2n2/MUAKWbaOa
Tc3rS7TsHTqf4h7Um0+3/fQoANzetG5vWjafb/voUbT7fmKAMOiiimSFFFFABRRRQAUUUUAFFFFA
BRRRQAUUUUAFFFFADJDhQf8AaX+YroAAU696524/1JPoR/MV0CnMQPqaQ0PwPL+8OT/n+dN2+mDS
/wDLMfU02gY5VbcMUrDOWA79Kan3x9aTJ9aAFH3h9aQ9acG+YcA0EjJ+X9aAG0p5UH8KPl96cNuD
yaAGU+Lliv8AeUim4H979KfGMSKcjrQBHTk+9QyFWI9KVFIboaAGUUUUAFFFFAC/wD6n+lJS/wAA
+p/pSUAFFFFAGJRRRTJCiiigAooooAKKKKACiiigAooooAKKKKACiiigCOcZgf6ZrdgObZD/ALIP
6Vhy/wCpf3GK3IBi3Ueiikxok/5Z/wDAqbTgMxkDqCDR9z/e/lQMVEO4E4H1pu0f31/X/ClXlx9a
bQA7IXocn1ptFFABTh91qbT0AKtk4oAZSr94fWggjrSDqKAHzf65vrTKfN/rm+tMoAXcfX86MjuP
ypKKAFwp74+oo2ntg/SkooAcQQoyMcmm04MQnB4zRuHdR/KgBtFOADHAyKTHuKAMOiiimSFFFFAB
RRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEc3+r/wCBAfqK31wMDt0rC2754I+zSDP061u0hoevyHce
36mgkSHn5W9exoc8gegFMoGPCMGHymmUoJHQkfQ07zG74b6igBlFP2q/3OD/AHT/AEpMBevX0oAQ
AmnDAVucmmkk/T0oBIORQABiPp6UuAfu/lQ/3vrUXmKXKA/MPagCab/XN9aZUkp/esCO9M2+nNAC
UUUUAFFFFAC/w/jSUo+6fqKSgBV++PrSUq/eH1pKAMSiiimSFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFAD7Rd+pJ/wBM0JP4/wD6q2KzNLXdcXEnphB+Wf61qr8o3flSGgf75/Km0UUDCiiigAp4
ZXGH69mplFACspXr09RSUqsV6GnfI3+yf0oAR+o+gqoc/aP7q5/76NXJFIIPUYHIqExKZPMOSe1A
E03+ub60ynzf61vrUW8YBNAD856j8aNvpzSA5ooAKKXIPX86CO45FAAPuH6j+tJS/wAJ+opKAFX7
wpKVfvCkoAxKKKKZIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjMERmbooyaKKANHToGgtFDjEjn
ew9Cauv97HYcUUUihtFFFABRRRQAUUUUAFFFFAChivQ07KN975T6iiigBZlO9m6jPUVVBKEg4x60
UUmAqkjleR6VIrBhkUUUgFoziiiqAeCChyO/UVXuWkjWNkDMN43bRniiigCl5+pMfkhVfm6lc8c+
/wBKejagxY+WFHGBx/dGf1zRRQB//9k=</Data>
</Thumbnail>
</Binary>
</metadata>
