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ERDDAP > tabledap > Subset ?

Dataset Title:  MOCNESS net data from R/V Atlantic Explorer cruise AE1918 in July 2019 Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_781508)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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.

    tow ?  =  unitless   1 option: 01
    date_start ?  =  unitless   1 option: 2019-07-25
    time_start ?  =  unitless   1 option: 14:20:08
    time ?  =  1 option: 2019-07-25T14:20:08Z
    cruise ?  =  unitless   1 option: AE1918
    Date ?  =  unitless   1 option: 190725

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)  

tow date_start time_start time cruise Date
unitless unitless unitless UTC unitless unitless
01 2019-07-25 14:20:08 2019-07-25T14:20:08Z AE1918 190725

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.


 
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