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ERDDAP > tabledap > Subset ?

Dataset Title:  EMODnet Physics - Collection of (VTZM) TimeSeries Min/Max/Mean -
MultiPointTimeSeriesObservation
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Institution:  institution   (Dataset ID: EP_ERD_INT_VTZM_AL_TS_MINMAXMEAN)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 66)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    EP_PLATFORM_ID ?  =  66 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)  

EP_PLATFORM_ID
 
1060521
11865
13794
13795
13865
13871
13874
13967
13968
28012
28127
28130
28133
28134
28137
28141
28142
28144
28149
28150
28151
28278
29583
29584
29586
29587
29588
29589
29590
29591
29592
29593
29594
29595
29596
29597
29627
3110572
32395
32396
32397
33152
33153
33231
365107
373677
7310
7311
7312
7313
7314
739895
739905
739912
7567
789242
8393
8394
8601
8818
8897
8993
963749
965410
965422
989004

In total, there are 66 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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