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EMODnet Physics ERDDAP
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Dataset Title: | EMODnet Physics - Collection of turbidity (TUR4) TimeSeries - MultiPointTimeSeriesObservation - METADATA ![]() ![]() |
Institution: | EMODnet Physics (Dataset ID: TS_TUR4_METADATA) |
Information: | Summary ![]() ![]() ![]() |
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.
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 |
---|
6100284 |
61141 |
61277 |
61499 |
6200030 |
6200050 |
6200310 |
6200443 |
6200450 |
62308 |
6600379 |
68422 |
ADN-MAMBO1 |
ADN-MAMBO2 |
ADN-MAMBO3 |
AmundsenGulf-AT1 |
AmundsenGulf-WC |
ARCACHON |
AshdodOffshore |
ATHOS |
Carnot |
CG |
CuxhavenFerryBox |
ElCampelloBuoy |
EUXRo01 |
EUXRo02 |
EUXRo03 |
EXEI0011 |
EXEI0012 |
EXEI0013 |
EXEI0014 |
EXEI0015 |
EXIN0001 |
EXIN0007 |
EXOFB004 |
FINO2 |
FMLW |
FNFP |
IF000617 |
IF000618 |
IF000700 |
IF000997 |
Iroise |
LAOU7 |
LLVT |
LMSD |
Mesurho |
MinoOurense |
MinoTeaenponteareas |
Molit |
OBSEA |
Olympiada |
POEM |
SAEG01 |
SMART |
Smile |
SOLA |
SOLEMIO |
W1M3A |
In total, there are 59 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.
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.