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Dataset Title:  EMODnet Physics - Collection of sound velocity (SVEL) Profiles -
MultiPointProfilesObservation - METADATA
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Institution:  EMODnet Physics   (Dataset ID: ERD_EP_PR_SVEL_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: 389)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    PLATFORMCODE ?  =  389 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
 
18189000
18189001
18189002
18189003
18189004
18189100
18189101
18189102
18189200
18189201
18199000
18199001
18199002
18199102
18199200
18AO9300
18AO9301
18AQ9400
18AQ9500
18HL9500
18HL9800
18IS0300
18KN9500
18KN9501
18OG9500
18RE9300
18RN9500
18S60000
18TR0100
18TR9400
18TR9401
18VC9500
18VQ9500
4801913
4801915
4801916
4801917
4801919
4801925
4801927
4801934
4801943
4801946
4801947
4801949
4801979
4801981
4802902
4802903
4802904
4802905
4802906
4802907
4802908
4802909
4802910
4802911
4802912
4802913
4802914
4802915
4802916
4802920
4802922
4802923
4802924
4802926
4802929
4802930
4802931
4802933
4802934
4802936
4802937
4802938
4802941
4802942
4802943
4802944
4802945
4802959
4802960
4802963
4802964
4802965
4802966
4802968
4802971
4802973
4802974
4802975
4802976
4802977
4802978
4802979
4802980
4802984
4802995
4802997
4803929
4803945
4803950
4803963
4803970
4803972
4803975
58US
7801506
8901015
8901018
8901019
8901020
8901027
8901028
8901029
8901042
8901044
8901045
8901068
8901069
8901079
8901096
8901118
amelia-20200825T1929
amelia-20201015T1436
angus-20230526T0051
bill-20220825T1421
bill-20230802T1140
bill-20230907T1530
bios_jack-20240812T1810
bios_jack-20250403T1914
bios_jack-20250504T1823
bios_minnie-20250403T2117
blue-20200819T1433
blue-20200925T1419
blue-20210513T1406
blue-20210921T1318
blue-20220301T1433
blue-20240422T1450
comet-20210907T1333
d639sg17-20230528T1443
d639sg17-20230609T1249
e640sg17-20230528T1737
electa-20210827T1516
electa-20220412T2004
electa-20221105T1025
electa-20230321T1540
electa-20230523T1947
electa-20240711T1659
electa-20240720T2316
electa-20250501T1748
f641sg17-20230523T2157
FKJB
FNFP
frank-20220930T1632
FYCR
FYCU
FZVN
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_02-20230505T1613
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_06-20250520T1554
ng222-20200908T1821
ng228-20180801T0000
ng230-20180801T0000
ng231-20190901T0000
ng257-20180801T0000
ng258-20180801T0000
ng261-20180801T0000
ng278-20190901T0000
ng279-20180801T0000
ng282-20190901T0000
ng288-20180801T0000
ng289-20190901T0000
ng290-20180701T0000
ng291-20180701T0000
ng295-20180701T0000
ng296-20180701T0000
ng300-20180701T0000
ng302-20180701T0000
ng309-20180701T0000
ng314-20200806T2040
ng342-20180701T0000
ng357-20200704T0000
ng412-20200714T1210
ng428-20200729T2120
ng429-20180701T0000
ng448-20180701T0000
ng450-20180701T0000
ng464-20180701T0000
ng466-20180701T0000
ng467-20180701T0000
ng487-20180701T0000
ng488-20180701T0000
ng489-20180701T0000
ng512-20180701T0000
ng596-20180701T0000
ng609-20200717T1224
ng616-20180701T0000
ng617-20180701T0000
ng617-20200804T1442
ng618-20180701T0000
ng618-20190901T0000
ng618-20200910T1635
ng619-20180701T0000
ng619-20190901T0000
ng619-20200722T1900
ng645-20200730T1909
ng666-20200722T1657
ru23-20221011T1759
ru23-20230320T1731
ru23-20231019T1528
ru23-20240401T1646
ru23-20241022T1512
ru23-20250226T1720
ru26d-20220714T2322
ru26d-20250107T1348
ru28-20201009T1155
ru28-20201028T1927
ru28-20210921T1309
ru28-20220520T1425
ru28-20220906T1535
ru28-20221129T1452
ru28-20230130T1445
ru28-20230906T1601
ru29-20200908T1623
ru29-20210630T1343
ru29-20210908T1943
ru29-20220629T1409
ru29-20221005T1517
ru29-20221116T1326
ru29-20230530T1910
ru29-20250715T1838
ru30-20210503T1929
ru30-20211020T1316
ru30-20220906T1523
ru30-20230525T1918
ru30-20230612T0105
ru32-20190102T1317
ru32-20200111T1444
ru32-20210330T1448
ru32-20211103T1405
ru32-20220104T1656
ru32-20221102T1720
ru32-20230330T1626
ru32-20231103T1418
ru32-20240429T1543
ru32-20240723T1443
ru32-20240904T1537
ru32-20241021T1701
ru32-20250716T1541
ru33-20191014T1643
ru33-20200715T1558
ru33-20200826T1604
ru33-20201014T1746
ru33-20201203T1521
ru33-20211001T1841
ru33-20230122T1352
ru34-20200729T1430
ru34-20201003T1821
ru34-20201119T1533
ru34-20210208T2055
ru34-20211120T1900
ru34-20220113T1949
ru34-20220215T1926
ru34-20220330T1435
ru34-20220520T1538
ru34-20230303T1521
ru34-20230920T1506
ru34-20240112T1722
ru34-20240301T1336
ru34-20241102T1737
ru34-20250113T1244
ru34-20250311T1220
ru36-20220223T1807
ru36-20220413T2107
ru36-20221102T1157
ru36-20230525T1748
ru36-20230611T2254
ru36-20240821T1852
ru36-20250408T1846
ru38-20230420T1602
ru38-20240128T1523
ru38-20250414T1500
ru38-20250722T1538
ru39-20230420T1636
ru39-20230817T1520
ru39-20231103T1413
ru39-20240215T1646
ru39-20240429T1522
ru39-20240723T1442
ru39-20241021T1717
ru39-20250226T1700
ru39-20250423T1535
ru39-20250716T1542
ru40-20230629T1430
ru40-20230817T1522
ru40-20231103T1421
ru40-20231115T1612
ru40-20240215T1642
ru40-20240429T1528
ru40-20240723T1600
ru40-20241021T1654
ru40-20250226T1704
ru41-20230420T1638
ru43-20240612T1658
ru43-20240904T1539
ru43-20250423T1533
ru43-20250605T1606
ru43-20250716T1522
sbu01-20210226T1902
sbu01-20210513T1933
sbu01-20210720T1628
sbu01-20211102T1528
sbu01-20220805T1532
sbu01-20221011T1852
sbu01-20230706T1704
sbu01-20231011T1802
sbu01-20240212T1649
sbu01-20240402T1429
sbu01-20250205T1835
sbu02-20230420T1741
sbu02-20230803T1544
sbu02-20231018T1827
sbu02-20240322T1541
sbu02-20240812T1613
sbu02-20240822T1916
sbu02-20250513T1552
sbu02-20250716T1543
SHO8326
SMLQ
sylvia-20201015T1425
sylvia-20230609T2228
sylvia-20230911T1409
sylvia-20240711T1638
sylvia-20240721T1129
sylvia-20240926T1623
ud_134-20200731T2103
ud_476-20220305T1558
ud_476-20220412T1700
ud_476-20230113T1454
ud_476-20230822T2018
ud_476-20240709T1216
ud_orris-20240907T1638
um_240-20211205T1918
um_242-20210630T1916
um_242-20211105T1601
um_242-20220513T1603
um_242-20220903T1654
um_242-20221205T1652
um_242-20230803T1952
um_242-20231109T1440
unit_1190-20241218T1433
unit_1190-20250224T1405
unit_308-20220826T2012
unit_648-20230324T1507
usf-murphy-20230609T1618
uvi_01-20230921T1324
uvi_01-20240809T1334
uvi_01-20240828T1337
uvi_01-20241004T1402
uvi_01-20241026T1158
uvi_01-20250318T2008
uvi_02-20241105T1313
uvi_02-20250211T1347
uvi_02-20250306T1911

In total, there are 389 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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