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ERDDAP > tabledap > Subset ?

Dataset Title:  Moorings 2009 (Standard Meteorological Data) Subscribe RSS
Institution:  NOAA NDBC   (Dataset ID: moorings_2009_smd_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 17218)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    station_id ?  =  134 options
    latitude ?  =  degrees_north   132 options
    longitude ?  =  degrees_east   133 options
    MWD ?  =  degT   402 options
    VIS ?  =  nmi   1 option:
    TIDE ?  =  m   1 option:

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct Data
 

Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.
 

Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

station_id latitude longitude MWD VIS TIDE
degrees_north degrees_east degT nmi m
41004 32.502 -79.099
41008 31.4 -80.866 1.0
41008 31.4 -80.866 2.0
41008 31.4 -80.866 3.0
41008 31.4 -80.866 4.0
41008 31.4 -80.866 5.0
41008 31.4 -80.866 6.0
41008 31.4 -80.866 7.0
41008 31.4 -80.866 8.0
41008 31.4 -80.866 9.0
41008 31.4 -80.866 10.0
41008 31.4 -80.866 11.0
41008 31.4 -80.866 12.0
41008 31.4 -80.866 13.0
41008 31.4 -80.866 14.0
41008 31.4 -80.866 15.0
41008 31.4 -80.866 16.0
41008 31.4 -80.866 17.0
41008 31.4 -80.866 18.0
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41008 31.4 -80.866 20.0
41008 31.4 -80.866 22.0
41008 31.4 -80.866 23.0
41008 31.4 -80.866 24.0
41008 31.4 -80.866 26.0
41008 31.4 -80.866 28.0
41008 31.4 -80.866 29.0
41008 31.4 -80.866 30.0
41008 31.4 -80.866 31.0
41008 31.4 -80.866 33.0
41008 31.4 -80.866 34.0
41008 31.4 -80.866 35.0
41008 31.4 -80.866 36.0
41008 31.4 -80.866 37.0
41008 31.4 -80.866 38.0
41008 31.4 -80.866 39.0
41008 31.4 -80.866 40.0
41008 31.4 -80.866 41.0
41008 31.4 -80.866 42.0
41008 31.4 -80.866 43.0
41008 31.4 -80.866 44.0
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41008 31.4 -80.866 46.0
41008 31.4 -80.866 47.0
41008 31.4 -80.866 48.0
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41008 31.4 -80.866 50.0
41008 31.4 -80.866 51.0
41008 31.4 -80.866 52.0
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41008 31.4 -80.866 86.0
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41008 31.4 -80.866 90.0
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41008 31.4 -80.866 126.0
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41008 31.4 -80.866 360.0
41008 31.4 -80.866
41009 28.508 -80.185
41010 28.878 -78.485
41012 30.042 -80.534 1.0
41012 30.042 -80.534 2.0
41012 30.042 -80.534 3.0
41012 30.042 -80.534 4.0
41012 30.042 -80.534 5.0
41012 30.042 -80.534 6.0
41012 30.042 -80.534 7.0
41012 30.042 -80.534 8.0
41012 30.042 -80.534 9.0
41012 30.042 -80.534 10.0
41012 30.042 -80.534 11.0
41012 30.042 -80.534 12.0
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41012 30.042 -80.534 19.0
41012 30.042 -80.534 20.0
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41012 30.042 -80.534 25.0
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41012 30.042 -80.534 29.0
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41012 30.042 -80.534 32.0
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41012 30.042 -80.534 36.0
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41012 30.042 -80.534
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41013 33.441 -77.764 273.0
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41013 33.441 -77.764 276.0
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41013 33.441 -77.764 282.0
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41013 33.441 -77.764 284.0
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41013 33.441 -77.764 293.0
41013 33.441 -77.764 295.0
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41013 33.441 -77.764 297.0
41013 33.441 -77.764 298.0
41013 33.441 -77.764 299.0

In total, there are 17218 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 16218 rows aren't being shown.
To change the maximum number of rows displayed, change View : Distinct Data above.
 

Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 

Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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