Ifremer ERDDAP
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Dataset Title:  Technical data: EMSO-Azores CISICS near real time data from the 2014-2015
deployment
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Institution:  Ifremer, Institut Français de Recherche pour l'Exploitation de la Mer;Institute of Earth Physics of Paris (IPGP);La Rochelle University, Littoral Environment and Societies (LIENSS)   (Dataset ID: CISICS_2014-2015)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | 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.

    PLATFORM ?  =  1 option: 50
    latitude2 ?  =  degrees_north   1 option:
    longitude2 ?  =  degrees_east   1 option:
    Instrument_Name ?  =  1 option: CISICS
    Sms ?  =  1 option: 15
    QC ?  =  1 option: 00000000000000

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)  

PLATFORM latitude2 longitude2 Instrument_Name Sms QC
degrees_north degrees_east
50 CISICS 15 00000000000000

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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