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ERDDAP > tabledap > Subset ?

Dataset Title:  EMSO Ligure Ouest : ALBATROSS capteur MICROCAT (CSV files from 2019-08 to 2020-
11)
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Institution:  MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Ligure_Ouest_Albatross_Microcat_CSV_2019)
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: 20)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    Sensor_serial_number ?  =  20 options
    Sensor_Depth_Theoric ?  =  meter   8 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)  

Sensor_serial_number Sensor_Depth_Theoric
meter
00009464 2200
00016360 2400
03710024 500
03710025 1250
03710026 1500
03710325 2000
03711375 1500
03713016 750
03713017 2000
03713018 2200
03716360 2400
03720423 1000
10024 500
10025 1250
10026 1500
13016 750
13017 2000
13018 2200
16360 2400
20423 1000

In total, there are 20 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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