ERDDAP > tabledap > Subset

Dataset Title:	Data for ioos-station-wmo-42880
Institution:	GCOOS   (Dataset ID: wmo_42880)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 6)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

latitude	= (ANY) 27.132 27.2187 27.2189 27.2239 27.224 27.2243  degrees_north	6 options
longitude	= (ANY) -90.338 -90.0469 -90.0141 -90.0135 -90.013  degrees_east	5 options

View:      Map of Distinct Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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

 

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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.
 

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

latitude	longitude
degrees_north	degrees_east
27.132	-90.338
27.2187	-90.0469
27.2189	-90.0469
27.2239	-90.0135
27.224	-90.013
27.2243	-90.0141

In total, there are 6 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 

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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.
 

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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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