20120221
13583100
FALSE
20221220
09593900
20221220
09593900
{23867400-7D03-4AC5-BC04-7B4CFE124F4A}
ChamplainBasin
002
0.000
Geographic
GCS_North_American_1983
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/3.0.0'><WKT>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],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</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>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
ESRI ArcCatalog 9.3.1.1850
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.
WBD_HU6
WBD_HU6
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.
File Geodatabase Feature Class
Esri ArcGIS 13.0.0.36056
ChamplainBasin
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.
20100518
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
withheld
Local Area Network
File Geodatabase Feature Class
Shapefile
0.000
Vector
Simple
FALSE
0
FALSE
FALSE
GCS_North_American_1983
Decimal degrees
0.000000
0.000000
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
0.000025
GCS_North_American_1983
EPSG
6.5(3.0.1)
0
ChamplainBasin
Feature Class
0
FID
FID
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.
Gaz_ID
Gaz_ID
Integer
10
10
0
Area_Acres
Area_Acres
Double
19
0
0
Area_SqKm
Area_SqKm
Double
19
0
0
States
States
String
50
0
0
LoadDate
LoadDate
Date
8
0
0
HUC_6
HUC_6
String
6
0
0
HU_6_Name
HU_6_Name
String
120
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
ESRI
Positive real numbers that are automatically generated.
TNMID
TNMID
String
40
0
0
20221220
Dataset copied.
withheld
20100518
12360000
Dataset copied.
withheld
20100520
16122200
Dataset copied.
withheld
20120221
13583100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