20160804
16244100
FALSE
20221229
12394600
20221229
12394600
1.0
Subbasin_WRIA1_Streamflow
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Washington_North_FIPS_4601_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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_Washington_North_FIPS_4601_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",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.8333333333333],PARAMETER["Standard_Parallel_1",47.5],PARAMETER["Standard_Parallel_2",48.73333333333333],PARAMETER["Latitude_Of_Origin",47.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2285]]</WKT><XOrigin>-117104300</XOrigin><YOrigin>-99539600</YOrigin><XYScale>3048.0060960121918</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>102748</WKID><LatestWKID>2285</LatestWKID></ProjectedCoordinateSystem>
ESRI ArcCatalog 9.2.2.1350
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.
bsnswria1_a
bsnswria1_a
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.
-123.093829
-121.247673
49.098400
48.544846
1098625.754784
1540089.650710
571401.803899
765768.067745
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.
Shapefile
Esri ArcGIS 13.0.2.36056
Subbasin_WRIA1_Streamflow
1098625.754784
1540089.65071
765768.067745
571401.803899
1
-123.093829
-121.247673
49.0984
48.544846
1
WRIA 1
Streamflow
Climate Change
Consumption
Monthly
Streamflow consumption and climate change predictions on streamflow by month and subbasin.
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.
20070724
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
3.001
3.001
002
withheld
Local Area Network
3.001
Shapefile
File Geodatabase Feature Class
0.000
Vector
Simple
FALSE
0
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet
coordinate pair
survey feet
0.000000
0.000000
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet
EPSG
5.3(9.0.0)
0
Subbasin_WRIA1_Streamflow
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.
Subbasin
Subbasin
String
254
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20221229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