ERDDAP > tabledap > Subset ?

Dataset Title:  * The List of All Active Datasets in this ERDDAP * Subscribe RSS
Institution:  St. Petersburg Coastal and Marine Science Center   (Dataset ID: allDatasets)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 2)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    accessible ?  =  1 option: public
    dataStructure ?  =  1 option: table
    cdm_data_type ?  =  2 options
    class ?  =  2 options
    institution ?  =  2 options
    testOutOfDate ?  =  1 option:

View:      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related 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)  

accessible dataStructure cdm_data_type class institution testOutOfDate
 
public table Other EDDTableFromAllDatasets St. Petersburg Coastal and Marine Science Center
public table TimeSeries EDDTableFromMultidimNcFiles Coastal and Marine Hazards and Resources Program, U.S. Geological Survey

In total, there are 2 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.