20180917
14530900
FALSE
20180816
16060700
20180816
16060700
CopyFeatures J:\IMS\_Development\AssetDesign\ROW_Assets.mdb\IMS_SIDEWALK J:\IMS\BeaumontTx\Data\Assets.mdb\IMS_SIDEWALK # 0 0 0
CopyFeatures J:\IMS\BeaumontTx\Assets\Assets.mdb\IMS_SIDEWALK J:\IMS\BeaumontTx\Assets\Assets2.mdb\IMS_SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes\Assets\AssetsDig.mdb\IMS_SIDEWALK J:\IMS\PearlandTx\Assets\Assets2014.mdb\IMS_SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2016\Assets\Assets_2014_Full.mdb\SIDEWALK J:\IMS\_IMS_Shapes2016\Assets\Asset_Templates.gdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2016\Assets\Asset_Templates.gdb\SIDEWALK J:\IMS\_IMS_Shapes2016\Assets\Assets_2016_Full.mdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2017\Assets\Assets_2017_Full.mdb\SIDEWALK J:\IMS\_IMS_Shapes2017\Assets\Asset_Templates.gdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2017\Assets\Asset_Templates.gdb\SIDEWALK J:\IMS\_IMS_Shapes2017\Assets\Assets_2017_Full.mdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2017\Assets\xAssets_2017_Full.mdb\SIDEWALK J:\IMS\_IMS_Shapes2017\Assets\Assets_2017_Full.mdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\_IMS_Shapes2017\Assets\Assets_2017_Full.mdb\SIDEWALK J:\IMS\_IMS_Shapes2017\Assets\Asset_Templates.gdb\SIDEWALK # 0 0 0
CalculateField SIDEWALK TECH "Rob" VB #
CalculateField SIDEWALK TECH "Conrad" VB #
CalculateField SIDEWALK TECH "Brendan" VB #
CopyFeatures J:\IMS\WyCoKCK_2017\Assets\CurbSidewalk.mdb\SIDEWALK J:\IMS\WyCoKCK_2017\Assets\Delivery_20180816\WorkingAssets.mdb\SIDEWALK # 0 0 0
CopyFeatures J:\IMS\WyCoKCK_2017\Assets\Delivery_20180816\WorkingAssets.mdb\SIDEWALK J:\IMS\WyCoKCK_2017\Assets\Delivery_20180816\ROW_Assets.mdb\SIDEWALK # 0 0 0
CalculateField Sidewalks SW_Conditi 'Poor' "Python 3" # Text NO_ENFORCE_DOMAINS
SIDEWALK
002
file://\\em_phoenix_fs\DATA\Netshare\EMSData\IMS\WyCoKCK_2017\Assets\Delivery_20180816\ROW_Assets.mdb
Local Area Network
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Kansas_North_FIPS_1501_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/10.1'><WKT>PROJCS["NAD_1983_StatePlane_Kansas_North_FIPS_1501_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",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-98.0],PARAMETER["Standard_Parallel_1",38.71666666666667],PARAMETER["Standard_Parallel_2",39.78333333333333],PARAMETER["Latitude_Of_Origin",38.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3419]]</WKT><XOrigin>-117608899.99992591</XOrigin><YOrigin>-91881399.999875665</YOrigin><XYScale>31249.999970896155</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102677</WKID><LatestWKID>3419</LatestWKID></ProjectedCoordinateSystem>
1.0
Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; 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.
IMS_SIDEWALK
IMS_SIDEWALK
vector digital data
\\emsqlfs\Netshare\EMSData\IMS\PearlandTx\Assets\Delivery\PearlandTx_ROW_Assets_2014.mdb
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.
Personal GeoDatabase Feature Class
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
IMS Sidewalks
IMS
Sidewalk
Contains sidewalk information captured in 2018 by IMS
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.
20120124
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
file://\\emsqlfs\Netshare\EMSData\IMS\PearlandTx\Assets\Delivery\PearlandTx_ROW_Assets_2014.mdb
Local Area Network
Personal GeoDatabase Feature Class
Personal GeoDatabase Feature Class
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet
coordinate pair
survey feet
0.000032
0.000032
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet
EPSG
8.2.6
0
SIDEWALK
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.
Segment_ID
Segment_ID
Integer
4
0
0
SW_ID
SW_ID
Integer
4
0
0
SW_Type
SW_Type
String
255
0
0
SW_Condition
SW_Condition
String
255
0
0
SW_Material
SW_Material
String
255
0
0
SW_Width
SW_Width
String
50
0
0
SW_RelLocation
SW_RelLocation
String
50
0
0
SW_Obstructions
SW_Obstructions
String
255
0
0
SW_Shape_Length
SW_Shape_Length
Double
8
0
0
SW_Start_X
SW_Start_X
Double
8
0
0
SW_Start_Y
SW_Start_Y
Double
8
0
0
SW_End_X
SW_End_X
Double
8
0
0
SW_End_Y
SW_End_Y
Double
8
0
0
SW_Comment
SW_Comment
String
255
0
0
TECH
TECH
String
10
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
ESRI
Positive real numbers that are automatically generated.
20180816
Dataset copied.
\\emsqlfs\Netshare\EMSData\IMS\PearlandTx\Assets\Delivery\xxworkingROWAssets.mdb
20140929
16014600
Dataset copied.
\\emsqlfs\Netshare\EMSData\IMS\PearlandTx\Assets\Delivery\workingROW.mdb
20141001
14043800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