20200922
19201400
1.0
FGDC CSDGM Metadata
FALSE
System_Sample_Location_JH
002
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/2.6.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20200923
07510200
20200923
07510200
Esri ArcGIS 12.6.1.24783
System_Sample_Location_JH
Water
Application to update sample locations for water districts
File Geodatabase Feature Class
dataset
EPSG
6.14(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
System_Sample_Location_JH
Feature Class
0
OBJECTID
OBJECTID
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.
TMGSAMPL_B_PWS_NUMBER
TMGSAMPL_B_PWS_NUMBER
String
9
0
0
TMGSAMPL_B_WSF_ST_ASGN_ID
TMGSAMPL_B_WSF_ST_ASGN_ID
String
12
0
0
TMGSAMPL_B_SAMPLING_POINT
TMGSAMPL_B_SAMPLING_POINT
String
12
0
0
TMGSAMPL_B_SAMPLING_LOC
TMGSAMPL_B_SAMPLING_LOC
String
40
0
0
TMGSAMPL_B_SAMPLE_CATEGORY
TMGSAMPL_B_SAMPLE_CATEGORY
String
2
0
0
TMGSAMPL_B_SAMPLE_TYPE
TMGSAMPL_B_SAMPLE_TYPE
String
2
0
0
TMGSAMPL_B_REPEAT_LOCATION
TMGSAMPL_B_REPEAT_LOCATION
String
2
0
0
TMGSAMPL_B_SAMPLE_COMMENTS
TMGSAMPL_B_SAMPLE_COMMENTS
String
2000
0
0
TMGSAMPL_B_COLLECTION_ADDRS
TMGSAMPL_B_COLLECTION_ADDRS
String
200
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_OBJECTID
NRDSDEP6_WATER_PUB_SYSTEMS_OBJECTID
Integer
4
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_XCOORD
X Coordinate (decimal degree)
Double
8
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_YCOORD
Y Coordinate (decimal degree)
Double
8
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_IPWS
Public Water System ID
String
10
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_NAME
Public Water System name
String
50
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_PWSSTATUS
System Status
String
1
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_COUNTY
NRDSDEP6_WATER_PUB_SYSTEMS_COUNTY
String
35
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_REGION
MoDNR Region
String
30
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_POPULATION
Population served
Integer
4
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_SOURCE_
Type of water distributed by system
String
5
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_FEDTYPE
Federal system type
String
5
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_SERVICEARE
Service area
String
30
0
0
NRDSDEP6_WATER_PUB_SYSTEMS_NAME_SPWS
Cartographic name of system
String
50
0
0
20200923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=