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ERDDAP > tabledap > Subset ?

Dataset Title:  EMODnet Physics - Collection of east-west current, north-south current (EWCT_
NSCT) Profiles - MultiPointProfilesObservation - METADATA
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Institution:  EMODnet Physics   (Dataset ID: ERD_EP_PR_EWCT_NSCT_NRT_METADATA)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 2232)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    PLATFORMCODE ?  =  2232 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All 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.
 


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)  

PLATFORMCODE
 
 
3801500
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3801503
3801504
4800905
4800907
4800916
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4800983
4801539
4801900
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4803928
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48915
5801900
5801901
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5801904
5801905
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5801908
5801909
5801911
58GS
58HJ
58JH
58UO
58US
62089
62561
6801537
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EC3
EC4
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EXGL0007
EXGL0008
EXGL0011
EXGL0012
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EXGL0014
EXGL0015
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EXGL0017
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FABB
FNMZ
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FZVN
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GB2
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gi_477-20140910T2300
gi_484-20150817T1025
gi_484-20160709T1032
gi_485-20150817T1036
gi_486-20230830T1504
gi_493-20170809T1222
gi_495-20150817T1402
gi_515-20200815T1437
gi_525-20190806T1723
gi_525-20220628T1658
gi_528-20150817T1428
gi_537-20210811T0410
gi_538-20220628T1727
gi_538-20240612T1005
gi_559-20160709T1012
gi_560-20190806T1805
gi_565-20210811T0311
gi_566-20240616T2013
gi_575-20220628T1724
gi_898-20230830T1500
Gichigami-20110629T1821
gichigami-20110630T2049
gichigami-20110701T0123
gichigami-20110701T1556
gichigami-20110702T1048
gichigami-20110703T0859
gichigami-20110704T0352
gichigami-20110705T1936
gichigami-20110706T1754
gichigami-20110707T0056
Gichigami-20111129T2109
gichigami-20120510T1722
gichigami-20120619T1541
gichigami-20120820T2012
gichigami-20120913T1538
gichigami-20130628T2005
gichigami-20130813T1313
gichigami-20140703T1923
gichigami-20140807T1844
gichigami-20150722T1952
gichigami-20150902T1932
gichigami-20151005T1659
gichigami-20151030T1356
gichigami-20160504T1723
gichigami-20160809T1635
gichigami-20160908T1711
gichigami-20170509T1758
gichigami-20170621T0243
gichigami-20170703T1447
gichigami-20170714T1855
glos_236-20121002T2351
glos_236-20130629T0324
glos_236-20130731T1538
glos_236-20130807T1502
glos_236-20130927T1620
glos_236-20140519T1633
glos_236-20140725T1728
glos_236-20140918T1505
glos_236-20150619T1741
glos_236-20150805T1450
glos_236-20150921T1406
glos_236-20160622T1547
glos_236-20160812T1445
glos_236-20160920T1510
glos_236-20170621T1628
glos_236-20170912T1312
glos_236-20180418T1344
glos_236-20180726T1435
glos_236-20180907T1822
glos_236-20190910T1517
glos_870-20210802T1913
glos_870-20210909T1754
glos_870-20211007T1529
gp_276-20140615T0533
gp_276-20180723T0633
gp_276-20231024T0345
gp_276-20250523T1838
gp_361-20140220T2049
gp_362-20140830T0240
gp_363-20130719T2300
gp_363-20160630T0230
gp_363-20220703T1913
gp_363-20240601T1554
gp_364-20130719T2033
gp_365-20130719T2017
gp_365-20160627T1535
gp_380-20250523T1827
gp_453-20140830T0051
gp_469-20180821T1804
gp_514-20150602T1000
gp_515-20150602T0955
gp_515-20230516T1512
gp_523-20150602T0440
gp_525-20150602T1125
gp_537-20150602T1105
gp_537-20190930T0140
gp_563-20240601T1507
gp_566-20201002T1245
gp_575-20160627T1858
gp_575-20190930T0147
gs_484-20150220T2015
gs_485-20150221T1628
gs_486-20150221T1620
gs_524-20151220T1950
gs_560-20151220T1920
gs_561-20151225T2141
gs_565-20151220T1746
gs_566-20151220T1716
GuraBuhaz20
GuraBuhaz5
Howdy-20160629T2207
Howdy-20160902T1836
jaialai-20220225T0000
jaialai-20220413T0000
maang-20210704T0840
maang-20210803T2337
maang-20210805T0810
maang-20210925T1921
Mamaia20
Mamaia30
Mangalia20
Mangalia40
Mangalia50
Mangalia70
maracoos_01-20200820T1459
maracoos_01-20201006T1417
maracoos_01-20210727T1605
maracoos_01-20210818T1454
maracoos_01-20220914T1748
maracoos_01-20230118T1721
maracoos_01-20240124T1612
maracoos_01-20240805T1617
maracoos_01-20241022T1346
maracoos_02-20210503T1937
maracoos_02-20210716T1814
maracoos_02-20210820T1546
maracoos_02-20211020T1322
maracoos_02-20220420T2011
maracoos_02-20230505T1613
maracoos_02-20240124T1445
maracoos_02-20240301T1425
maracoos_02-20240502T1359
maracoos_04-20221021T1433
maracoos_04-20230221T1724
maracoos_04-20241203T1457
maracoos_05-20240619T1716
maracoos_05-20240801T1650
maracoos_05-20241011T1741
maracoos_05-20250404T1319
maracoos_06-20240719T1424
maracoos_06-20241028T2024
maracoos_06-20250116T1522
maracoos_06-20250520T1554
mary_lou-20220818T1410
marylou-20210920T1530
MG4
MG5
Mila920
Mila930
ML1
ML2
ML3
modena-20160909T1758
mote-dora-20210113T1200
mote-dora-20210318T1200
mote-dora-20211012T1200
mote-dora-20220316T1200
mote-dora-20220518T1200
mote-dora-20220627T1200
mote-dora-20220907T1200
mote-dora-20230430T1200
mote-dora-20230531T1200
mote-dora-20230928T1200
mote-dora-20231023T0000
mote-dora-20240118T0000
mote-dora-20240307T0000
mote-dora-20240418T0000
mote-dora-20240716T0000
mote-dora-20240819T0000
mote-dora-20241016T0000
mote-dora-20241112T0000
mote-dora-20250113T0000
mote-genie-20161015T1513
mote-genie-20161212T1714
mote-genie-20170224T1732
mote-genie-20170404T1922
mote-genie-20170624T0128
mote-genie-20170901T1757
mote-genie-20171027T2222
mote-genie-20190617T1300
mote-genie-20190819T1600
mote-genie-20190925T1200
mote-genie-20200505T1200
mote-genie-20200615T1200
mote-genie-20200728T1200
mote-genie-20201116T1200
mote-genie-20210506T1200
mote-genie-20211116T1200
mote-genie-20220113T1200
mote-holly-20250219T0000
mote-holly-20250319T0000
mote-holly-20250429T0000
mote-holly-20250805T0000
mote-SeaXplorer-20240521T0000
Murphy-20150809T1355
murphy-20160810T2233
Murphy-20170426T1610
Nemesis-20170412T0000
Nemesis-20170512T0000
Nemesis-20171115T0000
Nemesis-20180515T0000
Nemesis-20180830T0000

In total, there are 2232 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 1232 rows aren't being shown.
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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