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Dataset Title:	EMODnet Physics - Collection of water surface height above a specific datum (SLEV) TimeSeries - MultiPointTimeSeriesObservation - METADATA
Institution:	EMODnet Physics   (Dataset ID: TS_SLEV_METADATA)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph

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PLATFORMCODE

= (ANY) 0028 0073 0188 1 10 100 1001 1002 1003 1004 1006 1007 1009 101 1011 1012 1013 1015 1018 1019 102 1020 1023 1026 1027 1028 103 1030 1031 1032 1033 1034 1035 1036 1037 1038 104 1049 105 1051 1052 1053 1054 1055 1057 1058 1059 106 1060 1061 1062 1064 1065 1066 1067 1068 1069 107 1070 1072 1073 1074 1075 1076 1077 1078 108 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 109 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 11 110 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 111 1111 1112 1113 1114 1115 1116 1117 1118 1119 112 1120 1122 1123 1125 1127 1128 1129 113 1134 1135 1136 1137 1138 114 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 115 1150 1151 1152 1153 1154 1155 1156 1157 1159 116 1160 1161 1162 1164 1166 1168 1169 117 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 118 1182 1183 1184 1187 119 1190 1191 1193 1194 1196 1197 12 120 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 121 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 122 1221 1222 1223 1224 1226 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AlboranTG albu alcu AlcudiaTG aler ales alex1 alex2 alex3 alge AlgecirasTG Alicante2TG AlicanteTG alme alme2 Almeria2TG Almeria3TG AlmeriaTG AlteWeserTG AlthagenTG alva alva2 AMAA2 amal amal2 amas Amasra AmbesTG ambon anch anch2 ancu ancu2 ande AndenesTG ANDRATX AngletConvergentTG anta ANTALYA anto anto2 apfl apfl2 apla apla2 arac aracS Aranmore arca arca2 ArcachonEyracTG aren aren2 aric aric2 ArklowHarbour arko arrc arrc2 arre ArrecifeTG arri arsu ascen ashd1 askl asto asto2 atic atka auasi auct audi audi2 AudierneTG AUGA2 aunuu AvilesTG avon AWGTG AWRT2 BaieDuLazaretTG balc Balchik BaliseARouenTG ball BallumTG Ballycotton Ballyglass balt bamd bamd2 bame bame2 bamf bang Bangor bapj bara barb2 barc barc2 BarcelonaTG BarhoeftTG barm Barmouth barn BARN6 bars BassensTG batr bayo BayonneBoucauTG BayonnePontBlancTG BayonneQuaiDeLessepsTG bbbc bbst bbst2 bcar bcon BDSP1 bdto bele bele2 benc benc2 beno BenodetVigicruesTG berg BergenTG BFTN7 bgct bgct2 bil3 BilbaoTG Bistrina_Malostonski_zaljev bitu BKYF1 BlankenbergeTG BLIA2 blkw blow BLTM3 blueb bmda bmsa bmsa2 bmsg bmso BMTW1 bodo BodoeTG bodr bodri BODRUM bois BolVanHeistTG boma bon2 bona BonanzaTG BordeauxTG BordeauxVigicruesTG bork BorkumSudTG BorkumTG bouc bouc2 boul boul2 BoulogneSurMerTG bour BourcefrancLeChapusTG Bournemouth boye boye2 bozc bozy BOZYAZI BregaillonTG BremenTG Bremerhaven BremerhavenTG bres bres2 BrestTG brid2 brof brom BronsTG Brouwershavensegat8TG BrouwershavensegatTG brpt brsk brur BruravikTG bspe btny btny2 buca2 buca3 Buesum BuesumTG BUFN6 bull bupo BurgasSouth busa buve buve2 BZST2 cabc CabourgVigicruesTG cacb cadi CadzandTG cagb cagt cala cala2 CalaisTG calc cald cald2 call calq camt CancaleVigicruesTG caph carb CarbonerasTG carg cart CartagenaTG casc CascaisTG CassisTG cast Castletownbere cazul cbmd cbmd2 ccar cctx cctx2 cdtt CDXA2 cedr ceib cent cent2 CenturiTG ceut ceut1 chab chala char char2 chat chenn cher cher2 CherbourgTG chia CHII2 chij chimb chit chnr chnr2 chrp chrp2 chrs chst chtt chuu CiboureTG cila cili ciut clst cmet cmet3 cmnj cmnj2 cocb coch cocos cois colb coli coli2 colo COLONIA-SANT-PERE conc conc2 ConcarneauTG cons2 const Constanta Constanta2 coqu coqu2 cor2 cord cord2 CordemaisTG corf cori corn corr corr2 coru Coruna2TG CorunaTG cove cpit cpla cpla2 CPXC1 crbc cres cres2 CRGA2 crnl crnl2 crom Cromer csta2 csta3 cstr cstr2 CTGM1 cule cule2 curri cuxh Cuxhaven CuxhavenTG cwfl cwfl2 cwme cwme2 CYGM4 D151TG dacp dacp2 dadk dadk2 DagebuellTG dakar danc dapi dapi2 dar2 dara Darlowo darw dat2 dat3 dat4 dat5 datu datu2 Daugavgriva davo dbal dber dber2 dcal dcal2 dcar dcar2 dch1 dch2 dch3 dch4 dch5 dchi dchi2 dchr dchr2 dchu dchu2 dcld dcld2 dcol dcor dcor2 dcr2 dcr3 dcss Degerby DegradDesCannesTG deke DELD1 delf DelfzijlTG denh DenHelderTG denis DenOeverBinnenTG DenOeverBuitenTG DenOeverTG dese desh DeshaiesTG desi DESW1 dfij dgal dgal2 dgme dgul dgul2 dgum dgum2 dhai dhai2 dhaw dhaw2 dhon dhon2 dhta dial diba diel diel2 DieletteTG diep diep2 DieppeTG Dingle DISW3 diw2 diwa djib djun djun2 djve djve2 djvw dkam dkam2 DKKF1 dkod dkod2 dkui dkur dkur2 dkwa dkwa2 dlos dlpr dmaa dmab dmiy dmnz dmnz2 dmon dmon2 dnew dni2 dni4 dni6 dni7 dnic dnic2 dnor dnwp dnwp2 dnza dnza2 dnzb dnzb2 dnzc dnzc2 dnzd dnzd2 dnze dnze2 dnzf dnzf2 dnzg dnzg2 dnzh dnzh2 dnzi dnzi2 dnzj dnzj2 dnzk dnzk2 dnzl dnzl2 DordrechtTG dorg dorg2 dove Dover dpan dpan2 dpea dpeb dper DPHA1 dphi dphi2 DPLA2 dpnc dpor DPXC1 drus dryu dryu2 dsac dsai dsai2 dsea dsea2 dsen dsen2 dshu dsim dstl dstl2 dta2 dta3 dta4 dtai dtas dtas2 dtok dtok2 dtru dtru2 DublinPort dumo DumontDUrvilleTG duni duni2 dunk dunk2 DunkerqueTG Dunmore duqm dutc dutc2 dval dval2 dzao dzao2 e4bs east east2 EB32_ EB33_ EB35_ EB36_ EB43_ EB52_ EB53_ EB61_ EckernfoerdeTG EdamTG EemshavenTG EemsMeetpaalTG efjm EGKF1 EiderSPTG Eisma elak elak2 ElHierroTG elja1 elpo EmdenTG engg ense epme epme2 Erdek erdek erdem EROA2 ERXA2 esme espe estr EtaplesVigicruesTG euro EuroplatformTG exmt F3platformTG faja falk FatouvilleTG fbfl fbfl2 Fenit fer1 fer2 ferg FerringTG Ferrol2TG FerrolTG ffcj FFIA2 figu figu2 FILA2 fish Fishguard FlensburgTG fmfl fmfl2 FMRF1 fong form FormenteraTG fors fort fort2 FortDeFranceTG FortMedocTG fosm fosm2 FosSurMerTG fpga fpga2 fpnt fpnt2 fren FromentineTG frot frtr FRXM3 ftfr ftfr2 fue2 fuer2 Fuerteventura3TG FuerteventuraTG fuka furu futu gale GaletsTG GalwayPort gamb gand GandiaTG ganm gara garc GBCL1 gbit GBWW3 GBXA2 gcsb Gdansk GELO1 geor GEXA2 gibr gibr2 gibr3 GiensLaMadragueTG gij2 GijonTG gila GISL1 gist GIXA2 goag goer gohi gokc gokr GomeraTG goti goto goug gptx greg greg2 GreifswaldTG groo GRRT2 gtdpr GTRM4 guam gwda gyer hade hade2 haif hain hako halei hali halm hamb Hamina hamm HammerfestTG hana hani Hanko Haringvliet10TG harl HarlingenTG hars HarstadTG harv harw Harwich hasp HavnebyTG HavreGPMRouenTG HAXA2 HBYC1 HCEF1 heeia HeiligenhafenTG heim HeimsjoeTG helg HelgeroaTG HelgolandTG helgz hels Helsinki Heltermaa hens herb herb2 HerbaudiereTG heys Heysham hie2 hien hien2 HiengheneTG hill hilo hilo2 hink Hinkley hirt hiva HivaOaTG hmda hoek HoekVanHollandTG HoernumTG Hogland HollandseBrugTG holm holy2 Holyhead HonfleurTG honn HonningsvaagTG hono hono2 horn HoutribsluizenNoordTG HoutribsluizenZuidTG Howth Howth2 hrak Hrakleio HREF1 HSSF1 huach huahi HuahineTG huarm huas2 huas3 huat huat2 huel HuelvaTG HuibertgatTG Husum HusumTG HvideSandeKystTG iaix ibiz IbizaTG iclr IDSL-Bodrum IDSL-Cartagena IDSL-Haifa IDSL-Imperia IDSL-Kos IDSL-KosMarina IDSL-MarinaDiTeulada IDSL-Plomari IDSL-SaidiaMarina IDSL-ZygiMarina iera Ierapetra igne Igneada IJgeulstroompaal1TG IJmondstroompaalTG IjmuidenTG IleDAixTG IleMiquelonTG iler iler2 IleRousseTG IleSaintPaulTG IlesDuSalutTG IletLaMereTG ilfa Ilfracombe ilom im02 imbi imbt imbt2 immi Immingham imuj imuj2 inav inav2 inha Inishmore IOC-amas IOC-csta2 IOC-csta3 IOC-erdek IOC-igne IOC-ista IOC-maer IOC-mang IOC-sams IOC-sile IOC-sino IOC-trab IOC-yalo iqui iqui2 isab isfu ishig iske ISKENDERUN ista Istanbul Itea itea J61TG jaca jack jask jask2 jers JLXA2 JNGA2 john jrmi juac juan juan2 jute K13aTG K141TG kabe KabelvaagTG KadoelenTG kahu kahu2 kait kaka kala kalit KalkgrundTG kalm kalt KampenTG KamperhoekTG kant kapi KappelnTG kaps Kapsali kara karl Kaskinen kaso Kasos kata KaterveerTG kaum kawa kawa2 KBMG1 keba keehi KeizersveerTG Kelnase Kemi kepo kepo1 kerg kerg2 KerguelenTG Kerkyra KeteldiepTG KetelhavenTG KEXA2 khol kiel KielHoltenauTG KielTG Kihnu Killybegs KilrushLough kinl Kinlochbervie kis1 kisr kjni klag kodi kodi2 koli koli2 Kolka KOPER KornwerderzandBinnenTG KornwerderzandBuitenTG KornwerderzandTG koro Koroni kors kos1 kos2 KoserowTG kota KrabbersgatsluizenNoordTG KrabbersgatsluizenZuidTG kril KrimpenAdLekTG kris KristiansundTG krna Kronstadt Kuivastu kung kungr kuri kush kusm kwaj kwaj2 kwfl kwfl2 kypa L91TG LaCapteTG LaCiotatTG LaCotiniereTG lacr LaDesiradeTG LaFigueiretteTG lago lagos LagosTG lajo lajo2 lalb lali lame lame2 LamenaTG lamu land lang LangballigauTG LangosteiraTG lank lapa LaPalmaTG LaPalmyreTG larn2 LaRochelleTG larp larp2 laru2 lasp LasPalmasTG lata laun LauwersoogTG laza laza2 lcst LeavaTG LeBruscTG lebu lebu2 leco leco2 LeConquetTG LeCrouestyTG lecy lega leha leha2 LeHavreTG Lehtma leir LeirvikTG leit Leith LeixoesTG LeMarquisTG lemba leme LemmerTG lena LePellerinTG Leppneeme LePrecheurTG lero lerw lerw2 Lerwick leso leso2 LesOursinieresTG LesSablesDOlonneTG levu lgos LichteilandGoeree1TG LichteilandGoeree2TG Lielupe Liepaja lifo lifo2 LifouTG lime lime2 limon lirf ListTG litz live Liverpool ljus llan Llandudno LMFS1 lmma lobos lomb LOPL1 LOPW1 LorientTG losa losa2 losu lott lowe Lowestoft lpaz lpaz2 lpbc lton luba LuebeckTG luga lund made madry maer magi magi2 maha maho MahonTG mais mais2 maji maju maka make MakemoTG mal3 mala MalagaTG male Male2 malh mali Mali_Losinj MalinHead malo MaloyTG malp malp2 malt MandoTG mang Mangalia mani mant mard mare MareTG mari MarienleuchteTG MarinTG marm MarmaraEreglisi MARMARIS mars MarseilleTG marsh masi masi2 mata MataUtuTG matel MausundTG maya MayotteTG maza maza2 MBIN7 MBLA1 MBNN7 MBPA1 MBRM4 MBXC1 MCGA1 MCGM4 MCYF1 MDRM1 meji meji2 meli MelillaTG ment MENTES MentonTG mera Mersrags Metković meul meul2 MEYC1 mhav MHRN6 midx midx2 Miinisadam Milford mill Millport MimizanTG mimz mimz2 mind mini mins miqu MISM1 MLSC1 MNBF1 mnkt MNMM4 mnza moku Molo-Sartorio momb mona mona2 MonacoTG monc monc2 MondDerVechtTG mont mont2 MontoirDeBretagneTG mony mony2 MorlaixVigicruesTG motr MotrilTG mpaw mpcw mphw mpsw MRKA2 mrms MRNA2 ms001 ms002 ms003 ms004 ms005 ms006 mtwa mumb Mumbles Munalaiu murc2 mus2 musc musc3 Muuga MXXA2 naga naha naho nain nanc nans NantesSalorgesTG NantesUsineBruleeTG napt narv NarvaJoesuu NarvikTG nauu nawi nawi2 NazareTG nbrt ncpt NEAW1 NesTG NeustadtTG neve Newhaven newl2 Newlyn Newport nhav nhte nice nice2 NiceTG NiceVigicruesTG nieu NieuweStatenzijlTG NieuwpoortTG niue nkfa nkfa2 nksk NOAT noat noct nome nome2 NorderneyTG NordreRose NorthCormorantTG NorthShields noto noua NoumeaNumboTG NPDW3 npor NPSF1 nshi nspi nspi2 NTKM3 ntue ntue2 nuk1 nuku NukuHivaTG numb2 numbo nuuk NWPO3 NWWH1 Ny-AlesundTG nyal nyna OCGN4 ofuas ofun ohig ohig3 olan omae onsa OostendeTG Oosterschelde11TG oran orma osca OscarsborgTG oska oslo OsloTG oste oste1 otat OudeSchildTG ouin ouin2 OuinneTG ouis ouis2 OuistrehamTG Oulu ouve ouve2 OuveaTG oxel paak paak2 pada padn pagb pagi pagi2 pago pagx PaimboeufTG paita palb Paldiski pale PaleaFokea Paleochora palm palm1 PalmadeMallorcaTG pana pand pano papa pape pape2 PapeeteTG PapeeteUhslcTG papo papo2 para PariacaboTG Parnu PasaiaTG pata pata2 PauillacTrompeloupTG pbil pblu pbol pcha pcha2 pcoi pcor pcrt PCXA2 pdas pedn pedn2 peir PenicheTG penr petr pgrau PGXA2 phbc pich pich2 pich3 Pietarsaari PILA2 PILM4 pisa pisa2 pisco pkem plat plat2 Plimiri plmy plom plop pluz plym Plymouth PMAF1 pmel pmel2 pmon pmon2 pmur pnat pnat2 pnfl pnfl2 PNLM6 PointeAPitreTG PointeDesRochesTG POLLENSA Pomorie PontDuBraultTG PontSeudreTG Pori porl poro porp PorquerollesTG pors port PORT2 port2 PortBlocTG Portbury PortCamargueTG PortCrosTG PortDeCarroTG PortDeLaRedonneTG PortDeStElmeTG PortFerreolTG PortLaNouvelleTG PortLaunayVigicruesTG PORTO-CRISTO Portpatrick Portrush Portsmouth PortTudyTG PortVendresTG Porvoo posa posi POTA2 pots ppcp prai prat prat3 prba prec preo prev prgi pric prig PRIM4 prin prin2 prog prog2 prsj PRTA2 prte prud prud2 prus psdn psjs psla psla2 pslu pslu2 PSXC1 ptal ptal2 ptan ptan2 ptar ptar2 ptbc ptbc2 ptbl ptca ptch ptfe ptfe2 ptln ptln2 ptlu PTM3066 ptmd ptmd2 ptme ptmt ptos ptos2 ptpl ptpr ptpt ptpt2 ptro ptsc ptsp ptve ptve2 puer2 puert pumo pumo2 puna puyt pwil pwil2 Q11TG qaqo qcbc qing qtro qtro2 quar quel quel2 quepo quin quir quir2 qura Raahe RamspolbrugTG rangi RangiroaTG raro raro2 Raslina_Prokljan rata Rauma rbct RCCL RCMC1 reun reun2 reyk rfrt Rhodes-Port RibeTG RichardTG riki RikiteaTG RikiteaWharfTG ring RingaskiddyNMCI RIXA2 RMN-Imperia2 RMN-LeCastella RMN-Pantelleria RMN-PortopaloDiCapoPassero RochefortTG rodr RoggebotsluisNoordTG RoggebotsluisZuidTG Rohukula Roja RoompotBuitenTG RoonaghPier rorv RorvikTG rosc rosc2 RoscoffTG rose ross RossaveelPier Rosslare RostockTG rote rothe RotterdamTG rous rous2 RoyanTG RPRN6 rtas RTYC1 rudn SA-RAPITA sab2 saba sade sado sadp sagr sagu SaguntoTG said saig sain sain2 SainteMarieTG SaintGillesCroixDeVieTG SaintLouisMourillonTG SaintMaloTG SaintMartinTG SaintNazaireTG SaintPierreEtMiquelonTG SaintQuayPortrieuxTG saip sala Salacgriva salav sali sali2 salv Salv2 salv3 sama sama2 Samothraki sams san2 sana SanCibraoTG sand Sandn SandnesTG sanf sanf3 sanj sanj2 sano sano2 sanp sant SANT-ANTONI SantanderTG saot sapz sapz2 sass SassnitzTG saum sbea sbea2 sche SchellingwoudeTG ScheurWielingenTG ScheveningenTG SchiermonnikoogWaddenTG SchleimuendeTG SchleswigTG SchoonhovenTG scoa scoa2 scor SDIA2 sdom sdpr sdpt sdpt2 sebe sema sete sete2 SeteTG setp1 setu sev2 seve seve2 Sevilla2TG sewa sewa2 shee Sheerness shek shen sho2 SHPF1 SHXA2 sian sian2 sib2 sibo Sile sile Sillamae simp simr SinesTG sino Sinop SIPF1 sire SirevagTG sisa SISA2 sitin sitk sitk2 sitt sjuan Skagen skagk skan Skopelos Skulte SKXA2 slds Sligo slor SLXA2 smag smag2 smar smar2 smog smth sobr Sobra SocoaTG sola sole sole2 SolenzaraTG solo sona Soru sosu sove SPGF1 SpijkenisseTG spik spjy spmi SpooldersluisTG sprg SPTM4 SPXA2 SREF1 SRLM4 SRST2 SSBN7 sscr stan star stari Stari_Grad stav StavangerTG stcr stcr2 STDM4 stdpr sten StHelier sthl sthl2 sthm stjo StLaurentMaroniVigicruesTG stlu stlu2 stlu3 stlu4 stma stma2 StMarys stmr stmt stor stor2 Stornoway stpa StPauliTG StPetersburg stqy stqy2 StralsundTG stro STXA2 subi Sulina sumt sura suro SVNM4 SVXA2 SWPM4 swpr SXXA2 syow syro tala talc talc2 Tallinn Tallinnamadal talt talt2 talt3 TamarisTG TAML1 tang tanjo tanp tara tara1 tare tari TarifaTG tarr TarragonaTG tasu TASUCU tauas taut taza tboz tbwc tcgt tche tcim tcsb TCVF1 tdan tdas tdaw tdcu tdog tdoj tdon tdos TDPC1 tela telc telu tema tene Tenerife2TG Tenerife3TG Tenerife4TG TenerifeTG ters TerschellingNoordzeeTG tfan tfbc tfug tful thep thes Thessaloniki thev thio Thio2 ThioTG thou thsi thua thul ThyboronKystTG TimmendorfPoelTG tjhu tjia tjib tkao tkdi tkee tlan TLBO3 tlia tlin tlon tluk tlyu tmai tmat tn031 tnan tnbl tnpr toam2 tobe Tobermory toco2 toco3 tofi TorsmindeKystTG tosa toul toul2 ToulonTG toya TPAF1 tpen TPLM2 trab Trabzon TravemuendeTG treg TregdeTG Triigi trin trnz trom TromsoeTG tron TrondheimTG trst tshi tshu tsic tst1 tst2 tsua tsyu ttai tubua TubuaiTG tudy tumc tumc2 turb Turku tuxp tuxp2 twai TWCO1 twun twus txig txil TXPT2 TXVT2 tyon tzha UAPO UaPouTG udde UeckermuendeTG ugle ulla Ullapool UnionHallHarbor UNLA2 UPBC1 uper upol UQXA2 UrtTG ushu Ustka util Vaasa Vahemadal vair VairaoTG vald2 vale ValenciaTG valp valp2 valp3 vanu varb vard VardoeTG Varna vati VCVA2 VDXA2 vela Ventspils ver1 vera vera2 verav vern vhbc VianaDoCasteloTG vibc VidaaTG vieq vieq2 vig2 VigoTG vike VikerTG vikew vil2 VillagarciaTG VillefranqueTG vin2 Virtsu Vis visb vish viti vlad VlakteVdRaanTG VlielandHavenTG vlis VlissingenTG vlrn vodo Vransko_jezero_Prosika vsfb VTBT2 vung VurenTG vvik WAHV2 waian waik wait waka wake wake2 wall walvi WandelaarTG warn WarnemuendeTG WATS1 WCXA2 WDSV2 WerkendamBuitenTG WesthinderTG WestkapelleTG Wexford weym Weymouth whbc whit Whitby Wick wick WierumergrondenTG Wilhelmshaven will wint WismarTG Wittduen WittduenTG WittowerFaehreTG WIWF1 Wladyslawowo wlgt wlms wlms2 WNEM4 WolgastTG wood wood2 work Workington WPLF1 wpwa wpwa2 WRBF1 wuda WYCM6 xish xmas yabu yaku yaku2 yalo Yalova yapi YGNN6 ysta yuzh Zakynthos zanz ZeebruggeTG ZeebruggeWielingendokTG zhap zihu zihu2 zkth zldw ZwartsluisTG zwdw

4239 options

View:      Map of All Related Data      Distinct Data Counts     Distinct Data  0 10 100 1000 10000 100000      Related Data Counts     Related Data  0 10 100 1000 10000 100000

 

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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.
 

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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.
 

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Distinct Data   (Metadata)    (Refine the data subset and/or download the data)  

PLATFORMCODE
0028
0073
0188
1
10
100
1001
1002
1003
1004
1006
1007
1009
101
1011
1012
1013
1015
1018
1019
102
1020
1023
1026
1027
1028
103
1030
1031
1032
1033
1034
1035
1036
1037
1038
104
1049
105
1051
1052
1053
1054
1055
1057
1058
1059
106
1060
1061
1062
1064
1065
1066
1067
1068
1069
107
1070
1072
1073
1074
1075
1076
1077
1078
108
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
109
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
11
110
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
111
1111
1112
1113
1114
1115
1116
1117
1118
1119
112
1120
1122
1123
1125
1127
1128
1129
113
1134
1135
1136
1137
1138
114
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
115
1150
1151
1152
1153
1154
1155
1156
1157
1159
116
1160
1161
1162
1164
1166
1168
1169
117
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
118
1182
1183
1184
1187
119
1190
1191
1193
1194
1196
1197
12
120
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
121
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
122
1221
1222
1223
1224
1226
1227
1228
1229
123
1230
1231
1232
1233
1234
1236
1237
1238
1239
124
1240
1241
1242
1243
1245
1246
1247
1248
1249
125
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
126
1261
1262
1263
1264
1265
1266
1267
1268
1269
127
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
128
1281
1282
1284
1285
129
1290
1291
1292
1293
1294
1295
1296
1297
1298
13
130
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
131
1310
1311
1312
1313
1314
1317
1318
1319
132
1320
1321
1322
1323
1324
1325
1327
1328
1329
133
1330
1331
1333
1334
1335
1336
1337
1338
1339
134
1341
1342
1343
1344
1345
1346
1347
1348
1349
135
1350
1351
1352
1353
1354
1355
1356
1357
1358
1360
1361
1364
1365
1366
1367
1368
1369
137
1370
1371
1372
1373
1374
1381
1383
1386
1387
1388
1389
139
1390
1391
1393
1394
1395
1397
1399
14
140
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1417
1419
142
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
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145
1450
1451
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146
1460
1461
1462
1466
1468
1469
147
1470
1471
1472
1473
1474
1475
1476
1477
1478
148
1482
1484
1485
1486
1488
1489
149
1490
1491
1492
1493
1494
1495
1496
1497
15
150
1501
1502
1504
1505
1506
1509
151
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
152
1520
1521
1522
1523
1524
1525
1526
1527
1529
153
1530
1531
1533
1534
1535
1536
1537
1539
154
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
155
1550
1551
1554
1555
1557
1558
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1560
1561
1564
1566
1567
1568
1569
157
1570
1571
1572
1573
1574
1575
1577
1578
1579
158
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
159
1590
1591
1592
1593
1594
1595
1596
1598
16
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
161
1610
1612
1613
1614
162
1621
1627
1628
1629
163
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
164
1640
1641
1642
1643
1644
1645
1646
165
1651
1652
1653
1654
1657
1658
1659
166
1662
1663
1666
1667
1668
1669
167
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
168
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
169
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
17
170
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
171
1710
1711
1712
1714
1715
1716
1717
1718
1719
172
1720
1721
173
1730
1731
1732
1733
1734
1735
1736
1737
1739
174
1740
1745
1746
1747
1748
1749
175
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
176
1760
1761
1762
1763
1764
1767
1768
1769
177
1770
1771
1772
1773
1774
1775
1776
1779
178
1780
1781
1783
1784
1785
1786
1787
1789
179
1790
1791
1792
1793
1794
1795
1796
1797
1798
18
180
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
181
1810
1811
1812
1813
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1826
1827
1828
1829
183
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
184
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
185
1850
1852
1853
1854
1855
1856
1857
1858
1859
186
1860
1861
1862
1863
1864
1866
1867
1868
1869
187
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
188
1880
1881
1882
1883
1884
1885
1886
1887
1888
189
1891
1892
1893
1894
1895
1896
1897
1898
1899
19
190
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
192
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1931
1932
1933
1934
1936
1937
1938
194
1940
1941
1942
1943
1945
1952
1953
1955
1956
1957
1958
1959
196
1960
1961
1962
1963
1964
1965
1966
1967
1969
1970
1971
1972
1973
1974
1975
1977
1978
1979
1980
199
2
20
2003
2005
2006
2008
2009
2010
2011
2012
2014
2015
2016
2017
202
2020
2021
2022
2023
2024
2025
2026
2027
2028
203
2030
2032
2033
2034
2035
2036
2037
2038
2039
204
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
205
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
206
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
207
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
208
2080
2081
2082
2083
2084
2085
2086
2087
2089
209
2090
2092
2093
2094
2095
2096
2097
2098

In total, there are 4239 rows of distinct combinations of the variables listed above.
The first 1000 rows are shown above. The remaining 3239 rows aren't being shown.
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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ERDDAP, Version 2.23
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