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Dataset Title:  EMODnet Physics - Collection of relative humidity (RELH) TimeSeries -
MultiPointTimeSeriesObservation - METADATA
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Institution:  EMODnet Physics   (Dataset ID: TS_RELH_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: 268)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    PLATFORMCODE ?  =  268 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
 
12s65e
13001
13002
13008
13009
13010
1400048
1400049
14040
14041
14043
14047
14048
1500008
1500009
15001
15002
15006
15007
17387
17426
17435
17445
17446
17447
17449
17453
17455
17456
17457
17458
17459
17460
17461
17462
17463
17464
17465
17466
17467
1801556
1801560
1801563
1801565
1801566
1801568
1801569
1801573
1801574
1801577
1801578
1801580
1801581
1801583
1801584
2300019
23001
23003
23004
23006
23007
23008
23009
23010
23011
23012
23013
23014
23015
23016
23017
28401
31001
31002
31003
31004
31005
31006
31007
41026
41139
4803902
4803903
4803904
4803905
4803906
4803908
4803909
4803910
4803911
4803912
4803913
4803914
4803915
4803916
48400
52085
52087
53005
53006
53040
53056
5801952
5801953
5801954
5801955
5801956
5801957
5801958
5801959
6100284
6101061
61141
61499
6200001
6200030
6200050
6200091
6200092
6200093
6200094
6200095
6200163
6200191
6200192
6200199
6200200
6200310
6200443
6200450
6201031
6201038
6201039
6201040
6201062
6201081
6202113
6202114
66060
ADN-E2M3A
ADN-MAMBO1
ADN-MAMBO2
ADN-MAMBO3
BARBARIA
Bistrina_Malostonski_zaljev
Buoy_no1
CALA-MILLOR
CAPOMELE
Carnot
Casey
Davis
EMSO-Azores-Borel
ESPORLES
ESTELLENCS
EUXRo01
EUXRo02
EUXRo03
EXDD0001
EXDD0002
EXDD0003
EXDD0004
EXDD0005
EXDD0006
EXDD0007
FolkestoneMET
GALFI
Gelendzhik-A
IF000997
Iroise
LBBG
LBWN
LooeBayMET
LTAS
LTCG
Macquarie Island
Mali_Losinj
Mawson
Mesurho
Metković
Molit
MURO
MYKON
ooi-gs-gs01sumo_1
PaleaFokea
PARC-BIT
PenzanceMET
PerranporthMET
PileSpiekeroog
Raslina_Prokljan
Rhodes-Port
Salvora-buoy
SCENES
Skopelos
Smile
Sobra
SON-BOU
SPOT1383
SPOT1622
SPOT1624
SPOT30907C
Stari_Grad
Station_Institute
T0N110W
T0N125W
T0N140W
T0N155W
T0N165E
T0N170W
T0N180W
T0N95W
T2N110W
T2N125W
T2N140W
T2N155W
T2N165E
T2N170W
T2N180W
T2N95W
T2S110W
T2S125W
T2S140W
T2S155W
T2S165E
T2S170W
T2S180W
T2S95W
T5N110W
T5N125W
T5N140W
T5N155W
T5N165E
T5N170W
T5N180W
T5N95W
T5S110W
T5S125W
T5S140W
T5S155W
T5S165E
T5S170W
T5S180W
T5S95W
T8N110W
T8N125W
T8N155W
T8N165E
T8N170W
T8N180W
T8N95W
T8S110W
T8S125W
T8S155W
T8S165E
T8S170W
T8S180W
T8S95W
T9N140W
UFSDeutscheBucht
UGSB
URKA
URSS
Vela_Luka
VIDA
Vis
Vransko_jezero_Prosika
W1M3A
WestonBayMET
WeymouthMET

In total, there are 268 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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