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Dataset Title:  EMODnet Physics - Collection of (VTM02) TimeSeries Min/Max/Mean -
MultiPointTimeSeriesObservation
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Institution:  EMODnet Physics   (Dataset ID: EP_ERD_INT_VTM02_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: 411)
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 ?  =  411 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
 
1004029
1060521
1061096
1061097
1061098
11302
11448
11455
11456
11457
11458
11459
11475
11476
11477
11478
11479
11484
11485
11585
11605
11606
11679
11685
13967
13968
16997
17087
17183
17209
17219
17227
17329
17330
17360
17361
17380
18124
18681
18684
18685
18686
19302
21703
22980
23371
24876
24877
25126
25202
25203
25204
25854
25857
25862
25872
25874
25887
27549
27550
27551
27552
27553
27554
27555
27556
27557
27558
27559
27560
27561
27562
27566
27567
27568
27569
27570
27571
27572
27573
27574
27575
27576
27577
27578
27579
27580
27581
27582
27583
27584
27585
27586
27587
27590
27591
27592
27599
27600
27601
27602
27603
27604
27605
27606
27608
27609
27620
27623
27624
27626
27627
27628
27629
27630
27631
27632
27633
27634
27635
27636
27637
27638
27639
27640
27641
27642
27643
27644
27645
27646
27647
27648
27649
27650
27651
27652
27653
27654
27655
27656
27657
27658
27659
27660
27661
27662
27663
27664
27665
27666
27667
27668
27669
27670
27671
27672
27675
27676
27677
27678
27679
27680
27681
27682
27683
27684
27685
27686
27687
27688
27689
27690
27691
27692
27693
27694
27695
27696
27697
27698
27699
27700
27701
27702
27703
27704
27705
27706
27707
27708
27709
27710
27711
27712
27713
27714
27715
27716
27717
27718
27719
27720
27721
27722
27723
27768
27810
27842
27843
27844
27849
28002
28003
28061
28126
28127
28130
28131
28133
28134
28137
28139
28141
28142
28144
28145
28146
28147
28149
28150
28151
28170
28205
28206
28207
28220
28221
28222
28224
28225
28226
28229
28230
28231
28232
28233
28234
28235
28236
28237
28260
28261
28262
28264
28265
28266
28267
28270
28271
28277
28278
28994
29171
29224
29583
29584
29586
29587
29588
29589
29590
29591
29592
29593
29594
29595
29596
29597
29627
3110797
3110798
3110799
3111042
3111068
3111069
3111099
3111601
3111689
32395
32396
32397
33152
33153
33166
33230
33234
34021
35465
35466
35467
35468
35476
35477
35478
35484
36072
36073
363929
365765
366382
3664
36684
367618
367749
367828
367931
368153
368195
372764
373677
4092
479
531
596
608053
641304
7264
7268
7269
7270
7271
7272
7273
7274
7278
7279
7302
7305
7309
7315
7329
7332
7333
7338
7339
7340
7341
7342
7343
7344
7345
7346
739895
739905
739912
755688
7569
789242
8476
8477
8557
8558
8607
8609
868365
8705
871
872
8724
8797
8798
8801
8813
8815
8841
8871
8881
8882
8888
8916
9028
9041
929271
929272
929273
929274
9298
930017
930018
930020
930021
930022
930023
930024
930025
930150
9306
9307
9434
957008
961427
963208
963749
965410
965422
965426
969399
975729
978456
998724

In total, there are 411 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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