ERDDAP > tabledap > Subset ?

Dataset Title:  10.5066-P9JTFJ6M - steCtroll-a Subscribe RSS
Institution:  Coastal and Marine Hazards and Resources Program, U.S. Geological Survey   (Dataset ID: 10_5066_P9JTFJ6M_steCtroll_a_nc)
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: 1)
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 ?  =  1 option: "10_5066_P9JTFJ6M_steCtroll_a_nc"

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

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All 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.
 


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
 
\"10_5066_P9JTFJ6M_steCtroll_a_nc\"

In total, there are 1 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.
 


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.