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ERDDAP > tabledap > Subset ?

Dataset Title:  Modeled Carbonate System (1998-2018) - EE3 5 Subscribe RSS
Institution:  Penn State   (Dataset ID: CB_MCS_EE3_5)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 279)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    station_id ?  =  1 option: EE3.5
    latitude ?  =  degrees_north   1 option: 37.79652
    longitude ?  =  degrees_east   1 option: -75.84438
    omegaar ?  =  1   279 options

View:      Map of Distinct Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of Distinct Data ?   (Refine the map and/or download the image)
Optional: Click on the map to select the closest data.
Map of Distinct 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)  

station_id latitude longitude omegaar
degrees_north degrees_east 1
EE3.5 37.79652 -75.84438
EE3.5 37.79652 -75.84438 0.4705073807531761
EE3.5 37.79652 -75.84438 0.47907319878594296
EE3.5 37.79652 -75.84438 0.48656630817072505
EE3.5 37.79652 -75.84438 0.4883173610481417
EE3.5 37.79652 -75.84438 0.4910945374994042
EE3.5 37.79652 -75.84438 0.49138404776508476
EE3.5 37.79652 -75.84438 0.49147235873804707
EE3.5 37.79652 -75.84438 0.49205759433416946
EE3.5 37.79652 -75.84438 0.49270926528102865
EE3.5 37.79652 -75.84438 0.4944959300434726
EE3.5 37.79652 -75.84438 0.49497212245503724
EE3.5 37.79652 -75.84438 0.4980439805469744
EE3.5 37.79652 -75.84438 0.4992883506541767
EE3.5 37.79652 -75.84438 0.4994145067182764
EE3.5 37.79652 -75.84438 0.5014124262457044
EE3.5 37.79652 -75.84438 0.5023517884912627
EE3.5 37.79652 -75.84438 0.506103283753035
EE3.5 37.79652 -75.84438 0.5063770495382981
EE3.5 37.79652 -75.84438 0.5068033574223394
EE3.5 37.79652 -75.84438 0.508742657850327
EE3.5 37.79652 -75.84438 0.5112269735765634
EE3.5 37.79652 -75.84438 0.5134815675365403
EE3.5 37.79652 -75.84438 0.5172191138229787
EE3.5 37.79652 -75.84438 0.5174953509906942
EE3.5 37.79652 -75.84438 0.5176963114689936
EE3.5 37.79652 -75.84438 0.5185859223463635
EE3.5 37.79652 -75.84438 0.5204229324050007
EE3.5 37.79652 -75.84438 0.5208812085186206
EE3.5 37.79652 -75.84438 0.522946117770024
EE3.5 37.79652 -75.84438 0.5246414785453817
EE3.5 37.79652 -75.84438 0.5265391089993692
EE3.5 37.79652 -75.84438 0.5279125066163614
EE3.5 37.79652 -75.84438 0.528448237901267
EE3.5 37.79652 -75.84438 0.5295942275766641
EE3.5 37.79652 -75.84438 0.5309718624340901
EE3.5 37.79652 -75.84438 0.5372505625898679
EE3.5 37.79652 -75.84438 0.5373676646344396
EE3.5 37.79652 -75.84438 0.5387931342793191
EE3.5 37.79652 -75.84438 0.5430523891641235
EE3.5 37.79652 -75.84438 0.5465219652269216
EE3.5 37.79652 -75.84438 0.5594056072707644
EE3.5 37.79652 -75.84438 0.5598159383777966
EE3.5 37.79652 -75.84438 0.5734954486236791
EE3.5 37.79652 -75.84438 0.57722917205101
EE3.5 37.79652 -75.84438 0.5792024304837465
EE3.5 37.79652 -75.84438 0.5816481720869575
EE3.5 37.79652 -75.84438 0.5854980046687072
EE3.5 37.79652 -75.84438 0.5863214689873886
EE3.5 37.79652 -75.84438 0.5896025869050266
EE3.5 37.79652 -75.84438 0.5929351627557963
EE3.5 37.79652 -75.84438 0.5957856798882927
EE3.5 37.79652 -75.84438 0.6063684319688744
EE3.5 37.79652 -75.84438 0.60664362544009
EE3.5 37.79652 -75.84438 0.611141146017451
EE3.5 37.79652 -75.84438 0.6117273379968559
EE3.5 37.79652 -75.84438 0.6145936584577725
EE3.5 37.79652 -75.84438 0.6153665998546728
EE3.5 37.79652 -75.84438 0.6171662888978735
EE3.5 37.79652 -75.84438 0.6196112510711312
EE3.5 37.79652 -75.84438 0.6196610708452365
EE3.5 37.79652 -75.84438 0.6207802082279277
EE3.5 37.79652 -75.84438 0.621364987259068
EE3.5 37.79652 -75.84438 0.622358747223637
EE3.5 37.79652 -75.84438 0.6225678415415314
EE3.5 37.79652 -75.84438 0.6234210773574635
EE3.5 37.79652 -75.84438 0.6244057455727361
EE3.5 37.79652 -75.84438 0.6248657323032253
EE3.5 37.79652 -75.84438 0.6266065676528791
EE3.5 37.79652 -75.84438 0.6273921378339801
EE3.5 37.79652 -75.84438 0.6284479441786406
EE3.5 37.79652 -75.84438 0.6287040094210289
EE3.5 37.79652 -75.84438 0.633391110522052
EE3.5 37.79652 -75.84438 0.6347550767659395
EE3.5 37.79652 -75.84438 0.6349567160297794
EE3.5 37.79652 -75.84438 0.6387054606979256
EE3.5 37.79652 -75.84438 0.6402687708902991
EE3.5 37.79652 -75.84438 0.6422066490927821
EE3.5 37.79652 -75.84438 0.6427006914485276
EE3.5 37.79652 -75.84438 0.6435545031435544
EE3.5 37.79652 -75.84438 0.65003222868484
EE3.5 37.79652 -75.84438 0.6521807638128282
EE3.5 37.79652 -75.84438 0.6615606115342252
EE3.5 37.79652 -75.84438 0.6689612318333926
EE3.5 37.79652 -75.84438 0.6710008336033503
EE3.5 37.79652 -75.84438 0.6781222077459141
EE3.5 37.79652 -75.84438 0.6813920958468853
EE3.5 37.79652 -75.84438 0.6822560289309212
EE3.5 37.79652 -75.84438 0.6883853628044105
EE3.5 37.79652 -75.84438 0.6996611034201412
EE3.5 37.79652 -75.84438 0.7013224300097654
EE3.5 37.79652 -75.84438 0.7015170870938987
EE3.5 37.79652 -75.84438 0.7038868353429522
EE3.5 37.79652 -75.84438 0.7042460044172248
EE3.5 37.79652 -75.84438 0.7050165563674424
EE3.5 37.79652 -75.84438 0.7055677704765623
EE3.5 37.79652 -75.84438 0.7066295107957916
EE3.5 37.79652 -75.84438 0.7087557978254938
EE3.5 37.79652 -75.84438 0.7096540186522157
EE3.5 37.79652 -75.84438 0.7118191952923765
EE3.5 37.79652 -75.84438 0.7123532594367297
EE3.5 37.79652 -75.84438 0.7137043698018474
EE3.5 37.79652 -75.84438 0.7147649277096239
EE3.5 37.79652 -75.84438 0.7159930133775104
EE3.5 37.79652 -75.84438 0.7172356211726764
EE3.5 37.79652 -75.84438 0.7173625766080911
EE3.5 37.79652 -75.84438 0.719147801073604
EE3.5 37.79652 -75.84438 0.7193441616851342
EE3.5 37.79652 -75.84438 0.7201509440165876
EE3.5 37.79652 -75.84438 0.7212622239264139
EE3.5 37.79652 -75.84438 0.7213409647326107
EE3.5 37.79652 -75.84438 0.721580109372045
EE3.5 37.79652 -75.84438 0.7217178276434462
EE3.5 37.79652 -75.84438 0.7229038073379749
EE3.5 37.79652 -75.84438 0.7258076102529709
EE3.5 37.79652 -75.84438 0.72647418187586
EE3.5 37.79652 -75.84438 0.7288131101473566
EE3.5 37.79652 -75.84438 0.7305249940114387
EE3.5 37.79652 -75.84438 0.7312850881216831
EE3.5 37.79652 -75.84438 0.7317437758983539
EE3.5 37.79652 -75.84438 0.7325130805958324
EE3.5 37.79652 -75.84438 0.7373431758879506
EE3.5 37.79652 -75.84438 0.7376225024397064
EE3.5 37.79652 -75.84438 0.7386997747910165
EE3.5 37.79652 -75.84438 0.7388503782983254
EE3.5 37.79652 -75.84438 0.7390359662910765
EE3.5 37.79652 -75.84438 0.7400636807188473
EE3.5 37.79652 -75.84438 0.7415178945443549
EE3.5 37.79652 -75.84438 0.7417141452197513
EE3.5 37.79652 -75.84438 0.7431940642179832
EE3.5 37.79652 -75.84438 0.7438898097281565
EE3.5 37.79652 -75.84438 0.7446339414072394
EE3.5 37.79652 -75.84438 0.7468225318070213
EE3.5 37.79652 -75.84438 0.7476169691214699
EE3.5 37.79652 -75.84438 0.7477984185193343
EE3.5 37.79652 -75.84438 0.7520080304744063
EE3.5 37.79652 -75.84438 0.7540547767533297
EE3.5 37.79652 -75.84438 0.7559397974621745
EE3.5 37.79652 -75.84438 0.7563310233639694
EE3.5 37.79652 -75.84438 0.7566715820371599
EE3.5 37.79652 -75.84438 0.7570225908799113
EE3.5 37.79652 -75.84438 0.7571930068035165
EE3.5 37.79652 -75.84438 0.7614373287261325
EE3.5 37.79652 -75.84438 0.7619620070013681
EE3.5 37.79652 -75.84438 0.7638286395432543
EE3.5 37.79652 -75.84438 0.7649400417985103
EE3.5 37.79652 -75.84438 0.7651023980197205
EE3.5 37.79652 -75.84438 0.7652502208857812
EE3.5 37.79652 -75.84438 0.765261537306478
EE3.5 37.79652 -75.84438 0.7663216312941558
EE3.5 37.79652 -75.84438 0.7716406948473131
EE3.5 37.79652 -75.84438 0.7718633754106251
EE3.5 37.79652 -75.84438 0.7727778945644466
EE3.5 37.79652 -75.84438 0.7728581995595329
EE3.5 37.79652 -75.84438 0.7731918828785298
EE3.5 37.79652 -75.84438 0.7767184801909117
EE3.5 37.79652 -75.84438 0.7782358489856974
EE3.5 37.79652 -75.84438 0.7806115971369237
EE3.5 37.79652 -75.84438 0.7812720349118535
EE3.5 37.79652 -75.84438 0.7838537744034613
EE3.5 37.79652 -75.84438 0.785018634984122
EE3.5 37.79652 -75.84438 0.7851200380465637
EE3.5 37.79652 -75.84438 0.7884716711512723
EE3.5 37.79652 -75.84438 0.7885222246496094
EE3.5 37.79652 -75.84438 0.7897338429990871
EE3.5 37.79652 -75.84438 0.7918483739976376
EE3.5 37.79652 -75.84438 0.7985682252847991
EE3.5 37.79652 -75.84438 0.7986951519695062
EE3.5 37.79652 -75.84438 0.8060229646631012
EE3.5 37.79652 -75.84438 0.8064612514078736
EE3.5 37.79652 -75.84438 0.81617093585213
EE3.5 37.79652 -75.84438 0.8216170592977085
EE3.5 37.79652 -75.84438 0.8266459603595342
EE3.5 37.79652 -75.84438 0.8297149557882388
EE3.5 37.79652 -75.84438 0.8368658409446598
EE3.5 37.79652 -75.84438 0.8425247372745246
EE3.5 37.79652 -75.84438 0.8444630681440792
EE3.5 37.79652 -75.84438 0.8499191324697628
EE3.5 37.79652 -75.84438 0.8627805102105964
EE3.5 37.79652 -75.84438 0.8629111181693415
EE3.5 37.79652 -75.84438 0.8649501475521222
EE3.5 37.79652 -75.84438 0.8707405782386856
EE3.5 37.79652 -75.84438 0.8728082728183393
EE3.5 37.79652 -75.84438 0.8773573443347084
EE3.5 37.79652 -75.84438 0.879976853679592
EE3.5 37.79652 -75.84438 0.8858235767754296
EE3.5 37.79652 -75.84438 0.8867228035696927
EE3.5 37.79652 -75.84438 0.891362229325559
EE3.5 37.79652 -75.84438 0.8988613076882428
EE3.5 37.79652 -75.84438 0.9016729696826983
EE3.5 37.79652 -75.84438 0.9058158558517965
EE3.5 37.79652 -75.84438 0.9164924388468008
EE3.5 37.79652 -75.84438 0.920289735907557
EE3.5 37.79652 -75.84438 0.9250458928320106
EE3.5 37.79652 -75.84438 0.9297932418192748
EE3.5 37.79652 -75.84438 0.9334313171296821
EE3.5 37.79652 -75.84438 0.9361215107776854
EE3.5 37.79652 -75.84438 0.9400968148142747
EE3.5 37.79652 -75.84438 0.9431097621306784
EE3.5 37.79652 -75.84438 0.9438937734101679
EE3.5 37.79652 -75.84438 0.9632430828807836
EE3.5 37.79652 -75.84438 0.9663432580904144
EE3.5 37.79652 -75.84438 0.9680527827109634
EE3.5 37.79652 -75.84438 0.9683655528777981
EE3.5 37.79652 -75.84438 0.9748880000125245
EE3.5 37.79652 -75.84438 0.9795335468818075
EE3.5 37.79652 -75.84438 0.980829606828485
EE3.5 37.79652 -75.84438 0.9861466946793805
EE3.5 37.79652 -75.84438 0.9979348765971071
EE3.5 37.79652 -75.84438 1.0158560410681943
EE3.5 37.79652 -75.84438 1.0220401642435994
EE3.5 37.79652 -75.84438 1.0229497426954788
EE3.5 37.79652 -75.84438 1.0281178374265307
EE3.5 37.79652 -75.84438 1.0482135011823606
EE3.5 37.79652 -75.84438 1.0617504691488004
EE3.5 37.79652 -75.84438 1.0667975278585966
EE3.5 37.79652 -75.84438 1.1015865805544591
EE3.5 37.79652 -75.84438 1.1060061142228317
EE3.5 37.79652 -75.84438 1.1142288661630613
EE3.5 37.79652 -75.84438 1.1150851209489188
EE3.5 37.79652 -75.84438 1.1157498265466714
EE3.5 37.79652 -75.84438 1.1160128433823662
EE3.5 37.79652 -75.84438 1.1255618615485716
EE3.5 37.79652 -75.84438 1.1323853504578307
EE3.5 37.79652 -75.84438 1.1409292726985119
EE3.5 37.79652 -75.84438 1.1437593566538187
EE3.5 37.79652 -75.84438 1.1494034497374712
EE3.5 37.79652 -75.84438 1.1600725195800052
EE3.5 37.79652 -75.84438 1.1614418946914904
EE3.5 37.79652 -75.84438 1.1641098321683896
EE3.5 37.79652 -75.84438 1.1664592074308477
EE3.5 37.79652 -75.84438 1.177136860479992
EE3.5 37.79652 -75.84438 1.186257183714689
EE3.5 37.79652 -75.84438 1.1895297881777929
EE3.5 37.79652 -75.84438 1.2063981021460193
EE3.5 37.79652 -75.84438 1.212455422879347
EE3.5 37.79652 -75.84438 1.2205302689411535
EE3.5 37.79652 -75.84438 1.2390822490123623
EE3.5 37.79652 -75.84438 1.2405150855219869
EE3.5 37.79652 -75.84438 1.2420321653032875
EE3.5 37.79652 -75.84438 1.2430634962045075
EE3.5 37.79652 -75.84438 1.2439688191886469
EE3.5 37.79652 -75.84438 1.2529519111568996
EE3.5 37.79652 -75.84438 1.255741012478231
EE3.5 37.79652 -75.84438 1.2785845103899227
EE3.5 37.79652 -75.84438 1.283128555546581
EE3.5 37.79652 -75.84438 1.2940309684910694
EE3.5 37.79652 -75.84438 1.2943357549686174
EE3.5 37.79652 -75.84438 1.306956303058834
EE3.5 37.79652 -75.84438 1.3188431219832601
EE3.5 37.79652 -75.84438 1.3192000090120064
EE3.5 37.79652 -75.84438 1.3315562164218877
EE3.5 37.79652 -75.84438 1.3349033682017097
EE3.5 37.79652 -75.84438 1.3377928510233021
EE3.5 37.79652 -75.84438 1.3401212506196971
EE3.5 37.79652 -75.84438 1.348937483177772
EE3.5 37.79652 -75.84438 1.3599253081125653
EE3.5 37.79652 -75.84438 1.3606754774787482
EE3.5 37.79652 -75.84438 1.3653905501413963
EE3.5 37.79652 -75.84438 1.3775655549132249
EE3.5 37.79652 -75.84438 1.4321995044262938
EE3.5 37.79652 -75.84438 1.4450265026282658
EE3.5 37.79652 -75.84438 1.4456744637551808
EE3.5 37.79652 -75.84438 1.4655577847016938
EE3.5 37.79652 -75.84438 1.4693305910163554
EE3.5 37.79652 -75.84438 1.4717480500607714
EE3.5 37.79652 -75.84438 1.4759226308223454
EE3.5 37.79652 -75.84438 1.4761671183866207
EE3.5 37.79652 -75.84438 1.4789592739722115
EE3.5 37.79652 -75.84438 1.491141806746192
EE3.5 37.79652 -75.84438 1.5170093052463285
EE3.5 37.79652 -75.84438 1.5383927893207268
EE3.5 37.79652 -75.84438 1.5707429072074006
EE3.5 37.79652 -75.84438 1.5732642845731395
EE3.5 37.79652 -75.84438 1.5793279931107551
EE3.5 37.79652 -75.84438 1.6015205300722473
EE3.5 37.79652 -75.84438 1.6752565028388706
EE3.5 37.79652 -75.84438 1.6822545125672488
EE3.5 37.79652 -75.84438 1.7143959637013864

In total, there are 279 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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