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ERDDAP > tabledap > Subset ?

Dataset Title:  EMODnet Physics - Collection of (SWHT) TimeSeries Min/Max/Mean -
MultiPointTimeSeriesObservation
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Institution:  institution   (Dataset ID: EP_ERD_INT_SWHT_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: 73)
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 ?  =  73 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
 
11448
11454
11455
11456
11457
11458
11459
11460
11477
11478
11479
11484
11485
11585
11605
11606
11679
27480
27481
493
502
508
531
571
596
608053
8388
8407
8408
8409
8410
8411
8412
8413
8414
8415
8416
8419
8434
8470
8500
8516
8518
8538
8539
8540
8542
8543
8548
8549
8630
8647
8648
8661
8665
8666
8668
8690
8705
8724
8813
8815
8841
8876
8877
8879
8881
8882
9028
9029
9041
9054
9333

In total, there are 73 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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