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Dataset Title:  EMODnet Physics - Collection of gust wind speed (GSPD) TimeSeries -
MultiPointTimeSeriesObservation - METADATA
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Institution:  EMODnet Physics   (Dataset ID: TS_GSPD_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: 612)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    PLATFORMCODE ?  =  612 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
 
1300130
1300131
17387
17426
17435
17445
17446
17447
17449
17453
17455
17456
17457
17458
17459
17460
17461
17462
17463
17464
17465
17466
17467
1801560
1801563
1801565
1801566
1801569
1801573
1801574
1801577
1801578
1801580
1801581
1801583
1801584
33994
37001
37004
37006
37018
37099
41001
41002
41004
41008
41009
41010
41013
41015
41024
41025
41029
41033
41036
41037
41038
41040
41043
41044
41046
41047
41048
41049
41052
41053
41056
41064
41065
41067
41069
41076
41110
41113
41115
41121
41141
41159
42001
42002
42003
42009
42012
42013
42019
42020
42022
42023
42026
42035
42036
42039
42040
42043
42044
42045
42047
42055
42056
42057
42058
42059
42060
42065
42067
42085
42088
42095
42097
42360
42364
42395
44005
44007
44008
44009
44011
44013
44014
44017
44018
44020
44022
44024
44025
44027
44029
44030
44032
44033
44034
44037
44039
44040
44041
44042
44043
44058
44062
44063
44064
44065
44066
44069
44072
44073
44078
44084
44086
44087
44088
44089
44090
44095
44098
44100
44137
44139
44150
44235
44258
45001
45002
45003
45004
45005
45006
45007
45008
45012
45013
45014
45019
45020
45022
45023
45024
45025
45026
45027
45028
45029
45132
45135
45136
45137
45138
45139
45140
45141
45142
45143
45144
45145
45147
45148
45149
45150
45151
45152
45154
45159
45161
45162
45163
45164
45165
45167
45168
45170
45174
45175
45176
45177
45180
45183
45186
45187
45188
45196
45197
45198
45200
45201
45202
45203
45204
45205
45206
45207
45208
45209
45210
45211
45T01
46001
46002
46003
46004
46005
46006
46007
46011
46012
46013
46014
46015
46017
46018
46022
46025
46026
46027
46028
46029
46030
46032
46035
46036
46041
46042
46047
46050
46053
46054
46059
46060
46061
46066
46069
46070
46071
46072
46073
46075
46076
46077
46078
46080
46081
46082
46083
46084
46085
46086
46087
46088
46089
46092
46096
46131
46132
46145
46146
46147
46181
46183
46184
46185
46204
46205
46206
46207
46208
46211
46213
46215
46224
46225
46227
46229
46232
46234
46235
46239
46240
46243
46245
46251
46253
46254
46256
46258
46259
46262
46266
46269
46273
46275
46279
4803902
4803903
4803904
4803905
4803906
4803908
4803909
4803910
4803912
4803914
51000
51001
51002
51003
51004
51101
51203
51204
51205
51206
51207
51208
51209
51210
51211
51212
52200
5801952
5801953
5801954
5801955
5801956
5801957
5801958
5801959
6100196
6100197
6100198
6100280
6100281
6100284
6100417
6100430
6101061
61141
61277
61499
6200024
6200025
6200050
6200082
6200083
6200084
6200085
6200091
6200092
6200093
6200094
6200095
6200310
6200443
6200450
6201031
6201038
6201039
6201040
6201062
637
66060
675
676
68422
98002
98004
98027
A-Sulafjorden
ACMN4
ADN-E2M3A
ADN-MAMBO1
ADN-MAMBO2
ADN-MAMBO3
AGXC1
AJXA2
AMAA2
ATHOS
AUGA2
AWRT2
B-Sulafjorden
BARBARIA
BARN6
BDSP1
BFTN7
BKYF1
BLIA2
BLTM3
BMTW1
BUFN6
BZST2
C-Sulafjorden
CALA-MILLOR
Carnot
CDXA2
ChapelPointMET
CHII2
CPXC1
CRGA2
CTGM1
CYGM4
D-Breisundet
DeenishIslandBuoy
DELD1
DESW1
DISW3
DKKF1
DPHA1
DPLA2
DPXC1
EB32_
EB33_
EB35_
EB36_
EB43_
EB52_
EB53_
EB61_
EGKF1
ElCampelloBuoy
EMSO-Azores-Borel
EROA2
ERXA2
ESPORLES
ESTELLENCS
EUXRo01
EUXRo02
EUXRo03
EXDD0001
EXDD0002
EXDD0003
EXDD0004
EXDD0005
EXDD0006
EXDD0007
F-Vartdalsfjorden
FelixstoweMET
FFIA2
FILA2
FMRF1
FolkestoneMET
FRXM3
G-Halsafjorden
GALFI
GBCL1
GBWW3
GBXA2
GELO1
GEXA2
GISL1
GIXA2
GRRT2
GTRM4
HappisburghMET
HAXA2
HBYC1
HCEF1
HERAKLION
HREF1
HSSF1
IF000997
Iroise
JLXA2
JNGA2
KBMG1
KEXA2
LJPC1
ljpc1
LMFS1
LooeBayMET
LOPL1
LOPW1
MBIN7
MBLA1
MBNN7
MBPA1
MBRM4
MBXC1
MCGA1
MCGM4
MCYF1
MDRM1
Mesurho
MEYC1
MHRN6
MISM1
MLSC1
MNBF1
MNMM4
Molit
Molo-Bandiera
MRKA2
MRNA2
MURO
MXXA2
MYKON
NEAW1
NPDW3
NPSF1
NTKM3
NWPO3
NWWH1
OCGN4
PARC-BIT
PCXA2
PenzanceMET
PerranporthMET
PGXA2
PILA2
PILM4
PMAF1
PNLM6
PORT2
POTA2
PRIM4
PRTA2
PSXC1
RCMC1
RIXA2
RPRN6
RTYC1
Salvora-buoy
SARON
SCENES
SDIA2
SHPF1
SHXA2
SIPF1
SISA2
SKXA2
SLXA2
Smile
SOLLER
SON-BOU
SPGF1
SPTM4
SPXA2
SREF1
SRLM4
SRST2
SSBN7
STDM4
STXA2
SVNM4
SVXA2
SWPM4
SXXA2
TAML1
TCVF1
TDPC1
TLBO3
TPAF1
TPLM2
TWCO1
TXPT2
TXVT2
UNLA2
UPBC1
UQXA2
VCVA2
VDXA2
VTBT2
W1M3A
WAHV2
WATS1
WCXA2
WDSV2
WestonBayMET
WeymouthMET
WIWF1
WNEM4
WPLF1
WRBF1
WYCM6
YGNN6

In total, there are 612 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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