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ERDDAP > tabledap > Subset ?

Dataset Title:  ru32-20221102T1720 Delayed Raw Trajectory Subscribe RSS
Institution:  Rutgers University   (Dataset ID: ru32-20221102T1720-trajectory-raw-delayed)
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: 39)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    trajectory ?  =  1 option: ru32-20221102T1720
    source_file ?  =  39 options

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)  

trajectory source_file
 
ru32-20221102T1720 ru32-2022-305-1-0-dbd(00880000)
ru32-20221102T1720 ru32-2022-305-2-0-dbd(00890000)
ru32-20221102T1720 ru32-2022-305-3-0-dbd(00900000)
ru32-20221102T1720 ru32-2022-305-4-0-dbd(00910000)
ru32-20221102T1720 ru32-2022-305-4-1-dbd(00910001)
ru32-20221102T1720 ru32-2022-305-4-10-dbd(00910010)
ru32-20221102T1720 ru32-2022-305-4-11-dbd(00910011)
ru32-20221102T1720 ru32-2022-305-4-12-dbd(00910012)
ru32-20221102T1720 ru32-2022-305-4-13-dbd(00910013)
ru32-20221102T1720 ru32-2022-305-4-14-dbd(00910014)
ru32-20221102T1720 ru32-2022-305-4-15-dbd(00910015)
ru32-20221102T1720 ru32-2022-305-4-16-dbd(00910016)
ru32-20221102T1720 ru32-2022-305-4-17-dbd(00910017)
ru32-20221102T1720 ru32-2022-305-4-18-dbd(00910018)
ru32-20221102T1720 ru32-2022-305-4-19-dbd(00910019)
ru32-20221102T1720 ru32-2022-305-4-2-dbd(00910002)
ru32-20221102T1720 ru32-2022-305-4-20-dbd(00910020)
ru32-20221102T1720 ru32-2022-305-4-3-dbd(00910003)
ru32-20221102T1720 ru32-2022-305-4-4-dbd(00910004)
ru32-20221102T1720 ru32-2022-305-4-5-dbd(00910005)
ru32-20221102T1720 ru32-2022-305-4-6-dbd(00910006)
ru32-20221102T1720 ru32-2022-305-4-7-dbd(00910007)
ru32-20221102T1720 ru32-2022-305-4-8-dbd(00910008)
ru32-20221102T1720 ru32-2022-305-4-9-dbd(00910009)
ru32-20221102T1720 ru32-2022-307-0-0-dbd(00920000)
ru32-20221102T1720 ru32-2022-307-0-1-dbd(00920001)
ru32-20221102T1720 ru32-2022-307-0-10-dbd(00920010)
ru32-20221102T1720 ru32-2022-307-0-11-dbd(00920011)
ru32-20221102T1720 ru32-2022-307-0-12-dbd(00920012)
ru32-20221102T1720 ru32-2022-307-0-13-dbd(00920013)
ru32-20221102T1720 ru32-2022-307-0-14-dbd(00920014)
ru32-20221102T1720 ru32-2022-307-0-2-dbd(00920002)
ru32-20221102T1720 ru32-2022-307-0-3-dbd(00920003)
ru32-20221102T1720 ru32-2022-307-0-4-dbd(00920004)
ru32-20221102T1720 ru32-2022-307-0-5-dbd(00920005)
ru32-20221102T1720 ru32-2022-307-0-6-dbd(00920006)
ru32-20221102T1720 ru32-2022-307-0-7-dbd(00920007)
ru32-20221102T1720 ru32-2022-307-0-8-dbd(00920008)
ru32-20221102T1720 ru32-2022-307-0-9-dbd(00920009)

In total, there are 39 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.


 
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