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ERDDAP > tabledap > Subset ?

Dataset Title:  AMUNDSEN CRUISES DB Subscribe RSS
Institution:  EMODnet Physics   (Dataset ID: AMUNDSEN_CRUISES)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 9)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    title ?  =  9 options

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)  

title
 
 
AVOS Meteorological Data collected by the CCGS Amundsen in the Canadian Arctic
Bioness-CTD data collected by the CCGS Amundsen in the Canadian Arctic
CFL 0708, Amundsen Gulf CTD data
CFL 0801, Amundsen Gulf CTD data
CFL 0802, Amundsen Gulf CTD data
Hydrobios-CTD data collected by the CCGS Amundsen in the Canadian Arctic
Moving Vessel Profiling (MVP) data collected by the CCGS Amundsen in the Canadian Arctic
TSG data collected by the CCGS Amundsen in the Canadian Arctic

In total, there are 9 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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