Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d94i080.nc - 28.66N, 94.0W - 1994-08-01" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d94i080) |
Information: | Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files | Make a graph |
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)
pressure | depth | temperature | potentialTemperature | conductivity | salinity | sigmat | descentRate | transmission | par | parv | fluorescence | backscattering |
---|---|---|---|---|---|---|---|---|---|---|---|---|
dBar | m | degree_C | degree_C | Siemens per meter | PSU | kg m-3 | meters per second | percent | umol m-2 s-1 | volts | volts | volts |
2.0 | 2.0 | 28.97640037536621 | 28.975900650024414 | 5.538599967956543 | 33.713600158691406 | 21.10890007019043 | -0.12399999797344208 | 4.4039998054504395 | 1230.0 | 3.2279999256134033 | 0.9760000109672546 | 0.027000000700354576 |
2.5 | 2.5 | 28.9768009185791 | 28.976200103759766 | 5.538700103759766 | 33.71390151977539 | 21.108999252319336 | -0.8989999890327454 | 4.40500020980835 | 1050.0 | 3.1610000133514404 | 1.0679999589920044 | 0.027000000700354576 |
3.0 | 3.0 | 28.97760009765625 | 28.9768009185791 | 5.53879976272583 | 33.7140007019043 | 21.10890007019043 | -0.15199999511241913 | 4.4070000648498535 | 931.0 | 3.1080000400543213 | 1.0499999523162842 | 0.026000000536441803 |
3.5 | 3.5 | 28.977699279785156 | 28.9768009185791 | 5.53879976272583 | 33.7140998840332 | 21.108999252319336 | 0.26100000739097595 | 4.406000137329102 | 861.0 | 3.0739998817443848 | 1.0199999809265137 | 0.026000000536441803 |
4.0 | 4.0 | 28.97599983215332 | 28.975000381469727 | 5.538700103759766 | 33.7140007019043 | 21.109500885009766 | 0.05900000035762787 | 4.40500020980835 | 787.0 | 3.0350000858306885 | 1.0169999599456787 | 0.026000000536441803 |
4.5 | 4.5 | 28.973499298095703 | 28.972400665283203 | 5.53849983215332 | 33.7140998840332 | 21.11039924621582 | 0.007000000216066837 | 4.406000137329102 | 714.0 | 2.993000030517578 | 1.0169999599456787 | 0.027000000700354576 |
5.0 | 5.0 | 28.975200653076172 | 28.974000930786133 | 5.538700103759766 | 33.71419906616211 | 21.110000610351562 | -0.09000000357627869 | 4.4039998054504395 | 687.0 | 2.9760000705718994 | 1.0140000581741333 | 0.026000000536441803 |
5.5 | 5.5 | 28.97249984741211 | 28.971200942993164 | 5.538400173187256 | 33.71440124511719 | 21.111000061035156 | -0.05900000035762787 | 4.4039998054504395 | 598.0 | 2.9159998893737793 | 1.0260000228881836 | 0.027000000700354576 |
6.0 | 6.0 | 28.97100067138672 | 28.969600677490234 | 5.538300037384033 | 33.714500427246094 | 21.111600875854492 | 0.02800000086426735 | 4.4039998054504395 | 551.0 | 2.880000114440918 | 1.0140000581741333 | 0.026000000536441803 |
6.5 | 6.5 | 28.968799591064453 | 28.967199325561523 | 5.538099765777588 | 33.71440124511719 | 21.11240005493164 | 0.5849999785423279 | 4.40500020980835 | 507.0 | 2.8440001010894775 | 1.0169999599456787 | 0.027000000700354576 |
7.0 | 7.0 | 28.97279930114746 | 28.971099853515625 | 5.53849983215332 | 33.714298248291016 | 21.111000061035156 | -0.04699999839067459 | 4.4029998779296875 | 520.0 | 2.8550000190734863 | 1.0390000343322754 | 0.026000000536441803 |
7.599999904632568 | 7.5 | 28.96929931640625 | 28.967500686645508 | 5.5381999015808105 | 33.714599609375 | 21.11240005493164 | -2.1610000133514404 | 4.4039998054504395 | 457.0 | 2.7990000247955322 | 1.0779999494552612 | 0.027000000700354576 |
8.100000381469727 | 8.0 | 28.967599868774414 | 28.965700149536133 | 5.538099765777588 | 33.714698791503906 | 21.113100051879883 | 0.2029999941587448 | 4.4029998779296875 | 443.0 | 2.7850000858306885 | 1.0859999656677246 | 0.026000000536441803 |
8.600000381469727 | 8.5 | 28.97279930114746 | 28.970699310302734 | 5.538599967956543 | 33.714698791503906 | 21.111400604248047 | 0.5730000138282776 | 4.4039998054504395 | 417.0 | 2.759000062942505 | 1.093999981880188 | 0.026000000536441803 |
9.100000381469727 | 9.0 | 28.972999572753906 | 28.970800399780273 | 5.538700103759766 | 33.714599609375 | 21.111299514770508 | -0.08100000023841858 | 4.4029998779296875 | 405.0 | 2.746000051498413 | 1.1729999780654907 | 0.02800000086426735 |
9.600000381469727 | 9.5 | 28.97260093688965 | 28.970300674438477 | 5.538700103759766 | 33.71480178833008 | 21.111600875854492 | -0.01899999938905239 | 4.40500020980835 | 356.0 | 2.690999984741211 | 1.1360000371932983 | 0.026000000536441803 |
10.100000381469727 | 10.0 | 28.972400665283203 | 28.969999313354492 | 5.538599967956543 | 33.714698791503906 | 21.111600875854492 | 0.03700000047683716 | 4.406000137329102 | 371.0 | 2.7090001106262207 | 1.0850000381469727 | 0.026000000536441803 |
10.600000381469727 | 10.5 | 28.966299057006836 | 28.96380043029785 | 5.538099765777588 | 33.71480178833008 | 21.113800048828125 | 0.1420000046491623 | 4.4070000648498535 | 330.0 | 2.6570000648498535 | 1.0640000104904175 | 0.026000000536441803 |
11.100000381469727 | 11.0 | 28.956899642944336 | 28.954200744628906 | 5.537199974060059 | 33.7156982421875 | 21.117700576782227 | -0.2290000021457672 | 4.4029998779296875 | 313.0 | 2.634000062942505 | 1.0839999914169312 | 0.027000000700354576 |
11.600000381469727 | 11.5 | 28.950300216674805 | 28.947500228881836 | 5.536799907684326 | 33.71739959716797 | 21.1210994720459 | -0.09099999815225601 | 4.401000022888184 | 305.0 | 2.624000072479248 | 1.1169999837875366 | 0.027000000700354576 |
12.100000381469727 | 12.0 | 28.949800491333008 | 28.9468994140625 | 5.536799907684326 | 33.71770095825195 | 21.121599197387695 | 0.17599999904632568 | 4.400000095367432 | 312.0 | 2.632999897003174 | 1.13100004196167 | 0.029999999329447746 |
12.600000381469727 | 12.5 | 28.94610023498535 | 28.943099975585938 | 5.536600112915039 | 33.71849822998047 | 21.12350082397461 | 0.19900000095367432 | 4.39900016784668 | 284.0 | 2.5920000076293945 | 1.1660000085830688 | 0.02800000086426735 |
13.100000381469727 | 13.0 | 28.945199966430664 | 28.941999435424805 | 5.536600112915039 | 33.719200134277344 | 21.124300003051758 | 0.02800000086426735 | 4.400000095367432 | 282.0 | 2.5899999141693115 | 1.1820000410079956 | 0.027000000700354576 |
13.600000381469727 | 13.5 | 28.943899154663086 | 28.94070053100586 | 5.537399768829346 | 33.72529983520508 | 21.1294002532959 | 0.16099999845027924 | 4.3979997634887695 | 259.0 | 2.552999973297119 | 1.1859999895095825 | 0.027000000700354576 |
14.100000381469727 | 14.0 | 28.94610023498535 | 28.942699432373047 | 5.53849983215332 | 33.73139953613281 | 21.13330078125 | 2.2769999504089355 | 4.396999835968018 | 258.0 | 2.549999952316284 | 1.194000005722046 | 0.027000000700354576 |
14.600000381469727 | 14.5 | 28.952999114990234 | 28.949499130249023 | 5.541500091552734 | 33.74689865112305 | 21.14259910583496 | 0.05400000140070915 | 4.396999835968018 | 244.0 | 2.5260000228881836 | 1.2029999494552612 | 0.027000000700354576 |
15.100000381469727 | 15.0 | 28.957399368286133 | 28.953800201416016 | 5.543499946594238 | 33.75740051269531 | 21.149099349975586 | 0.24300000071525574 | 4.395999908447266 | 237.0 | 2.5139999389648438 | 1.2079999446868896 | 0.027000000700354576 |
15.600000381469727 | 15.5 | 28.963899612426758 | 28.960100173950195 | 5.546899795532227 | 33.775901794433594 | 21.16080093383789 | -0.2800000011920929 | 4.394999980926514 | 233.0 | 2.506999969482422 | 1.2269999980926514 | 0.027000000700354576 |
16.100000381469727 | 16.0 | 28.980300903320312 | 28.97640037536621 | 5.555699825286865 | 33.82400131225586 | 21.191499710083008 | -0.03400000184774399 | 4.390999794006348 | 220.0 | 2.4809999465942383 | 1.2430000305175781 | 0.027000000700354576 |
16.600000381469727 | 16.5 | 28.989700317382812 | 28.985700607299805 | 5.567399978637695 | 33.897499084472656 | 21.243600845336914 | -0.4129999876022339 | 4.388999938964844 | 214.0 | 2.4700000286102295 | 1.253999948501587 | 0.027000000700354576 |
17.100000381469727 | 17.0 | 28.96780014038086 | 28.963699340820312 | 5.578999996185303 | 33.99250030517578 | 21.322200775146484 | -0.04600000008940697 | 4.388999938964844 | 208.0 | 2.4570000171661377 | 1.2829999923706055 | 0.027000000700354576 |
17.600000381469727 | 17.5 | 29.00510025024414 | 29.000900268554688 | 5.618800163269043 | 34.23830032348633 | 21.494300842285156 | 1.5449999570846558 | 4.379000186920166 | 205.0 | 2.4509999752044678 | 1.3109999895095825 | 0.02800000086426735 |
18.100000381469727 | 18.0 | 29.13789939880371 | 29.133499145507812 | 5.664999961853027 | 34.46030044555664 | 21.61669921875 | 0.32899999618530273 | 4.392000198364258 | 213.0 | 2.4679999351501465 | 1.3079999685287476 | 0.026000000536441803 |
18.600000381469727 | 18.5 | 29.19569969177246 | 29.191099166870117 | 5.69379997253418 | 34.6156005859375 | 21.713899612426758 | -0.36800000071525574 | 4.4039998054504395 | 189.0 | 2.4159998893737793 | 1.312000036239624 | 0.023000000044703484 |
19.100000381469727 | 19.0 | 29.243999481201172 | 29.23940086364746 | 5.734000205993652 | 34.85580062866211 | 21.877899169921875 | -0.024000000208616257 | 4.406000137329102 | 184.0 | 2.4040000438690186 | 1.3029999732971191 | 0.020999999716877937 |
19.600000381469727 | 19.5 | 29.281600952148438 | 29.27680015563965 | 5.756800174713135 | 34.98429870605469 | 21.96190071105957 | 0.10400000214576721 | 4.408999919891357 | 185.0 | 2.4070000648498535 | 1.284999966621399 | 0.01899999938905239 |
20.100000381469727 | 20.0 | 29.318099975585938 | 29.313199996948242 | 5.773200035095215 | 35.069698333740234 | 22.013700485229492 | -0.10599999874830246 | 4.415999889373779 | 184.0 | 2.4049999713897705 | 1.2649999856948853 | 0.017999999225139618 |
20.600000381469727 | 20.5 | 29.32859992980957 | 29.32360076904297 | 5.781000137329102 | 35.11520004272461 | 22.044300079345703 | 0.027000000700354576 | 4.432000160217285 | 188.0 | 2.4140000343322754 | 1.2619999647140503 | 0.017999999225139618 |
21.100000381469727 | 21.0 | 29.347999572753906 | 29.342899322509766 | 5.792900085449219 | 35.182701110839844 | 22.088499069213867 | 0.12099999934434891 | 4.434999942779541 | 179.0 | 2.3919999599456787 | 1.2569999694824219 | 0.01899999938905239 |
21.600000381469727 | 21.5 | 29.334800720214844 | 29.329599380493164 | 5.798500061035156 | 35.23080062866211 | 22.129100799560547 | 1.6069999933242798 | 4.435999870300293 | 177.0 | 2.388000011444092 | 1.2519999742507935 | 0.017999999225139618 |
22.100000381469727 | 22.0 | 29.31369972229004 | 29.308300018310547 | 5.801700115203857 | 35.268001556396484 | 22.164199829101562 | -0.20200000703334808 | 4.428999900817871 | 163.0 | 2.3510000705718994 | 1.2510000467300415 | 0.019999999552965164 |
22.700000762939453 | 22.5 | 29.284500122070312 | 29.278900146484375 | 5.799699783325195 | 35.27519989013672 | 22.179500579833984 | -0.2809999883174896 | 4.435999870300293 | 165.0 | 2.3559999465942383 | 1.2450000047683716 | 0.01899999938905239 |
23.200000762939453 | 23.0 | 29.253799438476562 | 29.248199462890625 | 5.797900199890137 | 35.285301208496094 | 22.197399139404297 | -0.03999999910593033 | 4.434000015258789 | 161.0 | 2.3450000286102295 | 1.2510000467300415 | 0.01899999938905239 |
23.700000762939453 | 23.5 | 29.221099853515625 | 29.215299606323242 | 5.7941999435424805 | 35.28390121459961 | 22.207399368286133 | -0.04500000178813934 | 4.431000232696533 | 165.0 | 2.3559999465942383 | 1.253999948501587 | 0.019999999552965164 |
24.200000762939453 | 24.0 | 29.002500534057617 | 28.996599197387695 | 5.764800071716309 | 35.24300003051758 | 22.249900817871094 | -0.09099999815225601 | 4.425000190734863 | 163.0 | 2.3510000705718994 | 1.2760000228881836 | 0.01899999938905239 |
24.700000762939453 | 24.5 | 28.260400772094727 | 28.254600524902344 | 5.68310022354126 | 35.22589874267578 | 22.48310089111328 | 11.843000411987305 | 4.419000148773193 | 165.0 | 2.3559999465942383 | 1.3370000123977661 | 0.020999999716877937 |
25.200000762939453 | 25.0 | 27.966699600219727 | 27.960800170898438 | 5.651500225067139 | 35.22359848022461 | 22.577800750732422 | -2.190999984741211 | 4.4019999504089355 | 158.0 | 2.3369998931884766 | 1.378999948501587 | 0.029999999329447746 |
25.700000762939453 | 25.5 | 27.705900192260742 | 27.699899673461914 | 5.617700099945068 | 35.181400299072266 | 22.631099700927734 | 7.813000202178955 | 4.376999855041504 | 156.0 | 2.3310000896453857 | 1.4160000085830688 | 0.029999999329447746 |
26.200000762939453 | 26.0 | 25.634899139404297 | 25.629100799560547 | 5.417399883270264 | 35.31700134277344 | 23.384899139404297 | 1.0 | 4.3420000076293945 | 150.0 | 2.315000057220459 | 1.6380000114440918 | 0.09399999678134918 |
26.700000762939453 | 26.5 | 24.996299743652344 | 24.99049949645996 | 5.356599807739258 | 35.36690139770508 | 23.623300552368164 | 0.2150000035762787 | 3.7049999237060547 | 144.0 | 2.296999931335449 | 1.7630000114440918 | 0.14900000393390656 |
27.200000762939453 | 27.0 | 24.97319984436035 | 24.967300415039062 | 5.356400012969971 | 35.38290023803711 | 23.64240074157715 | -0.017000000923871994 | 3.5929999351501465 | 134.0 | 2.265000104904175 | 1.8669999837875366 | 0.10700000077486038 |
27.700000762939453 | 27.5 | 24.95669937133789 | 24.950700759887695 | 5.356200218200684 | 35.39469909667969 | 23.656400680541992 | 0.11699999868869781 | 3.4570000171661377 | 129.0 | 2.249000072479248 | 1.9019999504089355 | 0.10100000351667404 |
In total, there are 52 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.