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EMODnet Physics ERDDAP
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Dataset Title: | INSTAC - Collection of air temperature in dry bulb (DRYT) TimeSeries - IN SITU MultiPointTimeSeriesObservation - METADATA ![]() ![]() |
Institution: | EMODnet Physics (Dataset ID: TS_DRYT_INSTAC_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 |
---|
12s65e |
1300009 |
13001 |
1300130 |
1300131 |
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 |
1801660 |
1801768 |
1801769 |
2100229 |
2200101 |
2200102 |
2200103 |
2200104 |
2200105 |
2200106 |
2200107 |
2200108 |
2200183 |
2200184 |
2200185 |
2200186 |
2200187 |
2200188 |
2200189 |
2200190 |
2200191 |
2200192 |
2200297 |
2200298 |
2200299 |
2200300 |
2300019 |
2300091 |
2300094 |
23001 |
23003 |
23004 |
2300451 |
2300452 |
2300453 |
2300454 |
2300460 |
2300491 |
2300492 |
2300497 |
23006 |
23007 |
23008 |
23009 |
23010 |
23011 |
23012 |
23013 |
23014 |
23015 |
23016 |
23017 |
2501539 |
2501544 |
2501661 |
2501662 |
2501668 |
2501669 |
2601623 |
2801960 |
2802045 |
2802061 |
2802062 |
2802063 |
2802064 |
2802065 |
2802066 |
2802112 |
28401 |
3100053 |
31001 |
31002 |
3100229 |
3100231 |
3100262 |
31003 |
3100374 |
31004 |
31005 |
31006 |
31007 |
3101000 |
3200676 |
3300688 |
3300689 |
33837 |
33917 |
33924 |
33929 |
33959 |
33990 |
33991 |
33994 |
33995 |
37001 |
37004 |
37006 |
37018 |
37099 |
37171 |
3732621 |
3801560 |
3801665 |
4100066 |
4100068 |
4100069 |
41001 |
4100108 |
4100112 |
4100117 |
4100122 |
41002 |
4100300 |
41004 |
41008 |
41009 |
41010 |
41013 |
41024 |
41025 |
41026 |
41029 |
41033 |
41037 |
41038 |
41040 |
41043 |
41044 |
41046 |
41047 |
41048 |
41049 |
41052 |
41053 |
41056 |
41108 |
41112 |
41117 |
41122 |
41139 |
41300 |
4200057 |
4200058 |
4200084 |
4200095 |
42001 |
42002 |
42003 |
42012 |
42019 |
42020 |
42022 |
42023 |
42026 |
42035 |
42036 |
42039 |
42040 |
42044 |
42045 |
42047 |
42055 |
42056 |
42057 |
42058 |
42059 |
42060 |
42067 |
42084 |
42085 |
42095 |
42099 |
42360 |
42361 |
42364 |
42390 |
42394 |
42395 |
4400043 |
4400085 |
4400137 |
4400139 |
4400488 |
4400489 |
44005 |
44007 |
44008 |
44009 |
44011 |
44013 |
44014 |
44017 |
44018 |
44020 |
44022 |
44027 |
44029 |
44030 |
44032 |
44033 |
44034 |
4403526 |
4403527 |
4403528 |
4403529 |
4403530 |
4403531 |
4403532 |
4403533 |
4403534 |
4403535 |
4403536 |
4403537 |
4403577 |
44037 |
44039 |
44040 |
44041 |
44042 |
44043 |
44058 |
44062 |
44063 |
44064 |
44066 |
44072 |
44075 |
44076 |
44077 |
44078 |
44085 |
44088 |
44090 |
44100 |
44137 |
44139 |
44150 |
44258 |
45001 |
45002 |
45003 |
45004 |
45005 |
45006 |
45007 |
45008 |
45012 |
45013 |
45014 |
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 |
45166 |
45167 |
45168 |
45169 |
45170 |
45172 |
45173 |
45174 |
45175 |
45176 |
45178 |
45183 |
45186 |
45187 |
45188 |
45194 |
45196 |
45197 |
45198 |
45199 |
45200 |
45201 |
45202 |
45203 |
45204 |
45205 |
45206 |
45207 |
45208 |
45209 |
46001 |
4600123 |
4600184 |
46002 |
4600237 |
4600268 |
4600274 |
4600275 |
4600276 |
4600277 |
4600278 |
4600279 |
4600303 |
4600304 |
46004 |
46005 |
46006 |
46011 |
46012 |
46013 |
46014 |
46015 |
46022 |
46025 |
46026 |
46027 |
46028 |
46029 |
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 |
46096 |
46097 |
46098 |
46099 |
46100 |
46108 |
46118 |
46120 |
46121 |
46125 |
46128 |
46131 |
46132 |
46145 |
46146 |
46147 |
46181 |
46183 |
46184 |
46185 |
46204 |
46205 |
46206 |
46207 |
46208 |
46235 |
46237 |
46239 |
46244 |
46251 |
46266 |
46267 |
46268 |
46269 |
46273 |
46274 |
46275 |
46276 |
46277 |
46278 |
46279 |
4701562 |
4701563 |
4701564 |
4701565 |
4701566 |
4800400 |
4800507 |
4800731 |
4801622 |
4801624 |
4801625 |
4801661 |
4801662 |
4801702 |
4801703 |
4801704 |
4801705 |
4801753 |
4801755 |
4801761 |
4801762 |
4801763 |
4801764 |
4801765 |
4801767 |
4801768 |
4801769 |
4801770 |
4801771 |
4801772 |
4801773 |
4801774 |
4802005 |
4802011 |
4802012 |
4802013 |
4802502 |
4802503 |
4802518 |
4802615 |
4802616 |
4802617 |
4802618 |
4802619 |
4802620 |
4802621 |
4802622 |
4802660 |
4802665 |
4803902 |
4803903 |
4803904 |
4803905 |
4803906 |
4803908 |
4803909 |
4803910 |
4803911 |
4803912 |
4803913 |
4803914 |
4803915 |
4803916 |
4803987 |
4803988 |
4803989 |
4803990 |
48400 |
51000 |
51001 |
51002 |
5100211 |
51003 |
51004 |
5100819 |
51101 |
51211 |
51212 |
5200201 |
5200212 |
5200213 |
5202509 |
52085 |
52087 |
52201 |
52212 |
52213 |
5300041 |
53005 |
53006 |
53040 |
53056 |
5400555 |
5801950 |
5801951 |
5801952 |
5801953 |
5801954 |
5801955 |
5801956 |
5801957 |
5801958 |
5801959 |
5801961 |
5802060 |
5802061 |
6100001 |
6100002 |
6100131 |
6100196 |
6100197 |
6100198 |
6100280 |
6100281 |
6100284 |
6100417 |
6100430 |
6101031 |
6101061 |
6101404 |
61141 |
61277 |
61499 |
6200001 |
6200024 |
6200025 |
6200029 |
6200030 |
6200050 |
6200081 |
6200082 |
6200083 |
6200084 |
6200085 |
6200091 |
6200092 |
6200093 |
6200094 |
6200095 |
6200103 |
6200105 |
6200107 |
6200114 |
6200121 |
6200127 |
6200130 |
6200135 |
6200144 |
6200145 |
6200146 |
6200148 |
6200149 |
6200150 |
6200163 |
6200164 |
6200165 |
6200170 |
6200191 |
6200192 |
6200199 |
6200200 |
6200304 |
6200305 |
6200310 |
6200442 |
6200443 |
6200450 |
6201030 |
6201031 |
6201038 |
6201039 |
6201040 |
6201062 |
6201070 |
6201081 |
6202113 |
6202114 |
6300105 |
6300110 |
6300112 |
6300113 |
6301008 |
6301594 |
6400045 |
6400046 |
6801852 |
68422 |
7100609 |
7101564 |
7101565 |
7101568 |
7101591 |
7101592 |
7101594 |
7101595 |
7801551 |
7801561 |
7801562 |
82039 |
98002 |
98004 |
98027 |
ADN-E2M3A |
ADN-MAMBO1 |
ADN-MAMBO2 |
ADN-MAMBO3 |
Ale |
Asko |
ASTAN |
ATHOS |
Atle |
BARBARIA |
CALA-MILLOR |
CAPOMELE |
Carnot |
CascaisTG |
CG |
ChapelPointMET |
Draugen |
Ekofisk |
EMSO-Azores-Borel |
ESPORLES |
ESTELLENCS |
EUXRo01 |
EUXRo02 |
EUXRo03 |
EXDD0001 |
EXDD0002 |
EXDD0003 |
EXDD0004 |
EXDD0005 |
EXDD0006 |
EXDD0007 |
EXIN0005 |
FAJ4537 |
FAJ7028 |
FAJ7648 |
FAJ8114 |
FelixstoweMET |
FolkestoneMET |
Frej |
GALFI |
Granefeltet |
Gullfaks-C |
HappisburghMET |
Heimdal |
HERAKLION |
HuvudskarOst |
IF000997 |
Iroise |
KOPER |
Koster |
Kristineberg1 |
Kristineberg2 |
Kristineberg3 |
Kvitebjornfeltet |
LagosTG |
LBBG |
LBWN |
LooeBayMET |
LTAS |
LTCG |
MBARI-M1 |
Mesurho |
Molit |
Molo-Bandiera |
MURO |
MYKON |
Norne |
Norrbyn |
OBSEA |
Oden |
ooi-gs-gs01sumo_1 |
Oseberg-A |
Oseberg-C |
Oseberg-SOR |
PaleaFokea |
PALOMA |
PARC-BIT |
PenzanceMET |
PerranporthMET |
PileSpiekeroog |
POEM |
Poti |
Rhodes-Port |
Salvora-buoy |
SARON |
SCENES |
Skopelos |
Sleipner-A |
Smile |
Snorre-A |
Snorre-B |
SOLA |
SOLLER |
SON-BOU |
Sopot |
Statfjord-A |
Statfjord-B |
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 |
Tavastland |
Troll-A |
Troll-B |
UFSDeutscheBucht |
UGSB |
URKA |
URSS |
VIDA |
Visundfeltet |
W1M3A |
WDM5414 |
WestonBayMET |
WeymouthMET |
Ymer |
In total, there are 839 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.