Metocean: Historical collections
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Dataset Title: | "LATEX CTD - d92b036.nc - 28.84N, 92.0W - 1992-08-03" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d92b036) |
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 |
1.5 | 1.5 | 29.8927001953125 | 29.89229965209961 | 5.373799800872803 | 31.97410011291504 | 19.49839973449707 | 0.01600000075995922 | 4.265999794006348 | 214.0 | 2.7139999866485596 | 0.20100000500679016 | -9.0 |
2.0 | 2.0 | 29.886199951171875 | 29.885700225830078 | 5.372799873352051 | 31.97170066833496 | 19.498899459838867 | 0.28299999237060547 | 4.264999866485596 | 202.0 | 2.687999963760376 | 0.1899999976158142 | -9.0 |
2.5 | 2.5 | 29.887500762939453 | 29.88680076599121 | 5.373000144958496 | 31.97170066833496 | 19.49850082397461 | 0.42100000381469727 | 4.265999794006348 | 176.0 | 2.628999948501587 | 0.1889999955892563 | -9.0 |
3.0 | 3.0 | 29.890399932861328 | 29.889699935913086 | 5.374199867248535 | 31.977800369262695 | 19.502099990844727 | 0.5630000233650208 | 4.264999866485596 | 162.0 | 2.5929999351501465 | 0.19200000166893005 | -9.0 |
3.5 | 3.5 | 29.923599243164062 | 29.922700881958008 | 5.381499767303467 | 32.00429916381836 | 19.510799407958984 | 0.6320000290870667 | 4.267000198364258 | 136.0 | 2.5169999599456787 | 0.20100000500679016 | -9.0 |
4.0 | 4.0 | 29.933700561523438 | 29.93280029296875 | 5.384399890899658 | 32.016700744628906 | 19.516599655151367 | 0.6019999980926514 | 4.267000198364258 | 126.0 | 2.4839999675750732 | 0.2150000035762787 | -9.0 |
4.5 | 4.5 | 29.957700729370117 | 29.956600189208984 | 5.390999794006348 | 32.044898986816406 | 19.529699325561523 | 0.5019999742507935 | 4.264999866485596 | 120.0 | 2.4619998931884766 | 0.20200000703334808 | -9.0 |
5.0 | 5.0 | 29.96150016784668 | 29.96030044555664 | 5.393899917602539 | 32.06159973144531 | 19.541000366210938 | 0.48399999737739563 | 4.269000053405762 | 107.0 | 2.4119999408721924 | 0.20600000023841858 | -9.0 |
5.5 | 5.5 | 30.00749969482422 | 30.006099700927734 | 5.406599998474121 | 32.11579895019531 | 19.56599998474121 | 0.5699999928474426 | 4.269999980926514 | 98.30000305175781 | 2.375 | 0.20000000298023224 | -9.0 |
6.0 | 6.0 | 30.057300567626953 | 30.05579948425293 | 5.422599792480469 | 32.18949890136719 | 19.604400634765625 | 0.6549999713897705 | 4.27400016784668 | 91.0999984741211 | 2.3420000076293945 | 0.20000000298023224 | -9.0 |
6.5 | 6.5 | 30.05620002746582 | 30.05459976196289 | 5.430200099945068 | 32.2411003112793 | 19.643400192260742 | 0.6800000071525574 | 4.2779998779296875 | 86.19999694824219 | 2.318000078201294 | 0.1979999989271164 | -9.0 |
7.0 | 7.0 | 30.03380012512207 | 30.032100677490234 | 5.431000232696533 | 32.261199951171875 | 19.666099548339844 | 0.628000020980835 | 4.275000095367432 | 79.0999984741211 | 2.2809998989105225 | 0.1979999989271164 | -9.0 |
7.599999904632568 | 7.5 | 29.975099563598633 | 29.97330093383789 | 5.428199768066406 | 32.28099822998047 | 19.7007999420166 | 0.5389999747276306 | 4.27400016784668 | 73.19999694824219 | 2.246999979019165 | 0.20200000703334808 | -9.0 |
8.100000381469727 | 8.0 | 29.911399841308594 | 29.909500122070312 | 5.423299789428711 | 32.29069900512695 | 19.72960090637207 | 0.4830000102519989 | 4.269999980926514 | 68.5999984741211 | 2.2190001010894775 | 0.21299999952316284 | -9.0 |
8.600000381469727 | 8.5 | 29.880300521850586 | 29.87820053100586 | 5.422599792480469 | 32.30659866333008 | 19.752099990844727 | 0.4860000014305115 | 4.265999794006348 | 65.80000305175781 | 2.2009999752044678 | 0.2290000021457672 | -9.0 |
9.100000381469727 | 9.0 | 29.858600616455078 | 29.856399536132812 | 5.422699928283691 | 32.3213005065918 | 19.77050018310547 | 0.5600000023841858 | 4.264999866485596 | 61.29999923706055 | 2.1700000762939453 | 0.2370000034570694 | -9.0 |
9.600000381469727 | 9.5 | 29.85300064086914 | 29.85059928894043 | 5.423600196838379 | 32.331298828125 | 19.77989959716797 | 0.625 | 4.260000228881836 | 58.5 | 2.1500000953674316 | 0.25699999928474426 | -9.0 |
10.100000381469727 | 10.0 | 29.837600708007812 | 29.835100173950195 | 5.4232001304626465 | 32.33869934082031 | 19.790700912475586 | 0.6330000162124634 | 4.260000228881836 | 55.0 | 2.122999906539917 | 0.25600001215934753 | -9.0 |
10.600000381469727 | 10.5 | 29.8218994140625 | 29.819299697875977 | 5.424200057983398 | 32.35540008544922 | 19.808500289916992 | 0.6140000224113464 | 4.258999824523926 | 51.099998474121094 | 2.0910000801086426 | 0.25200000405311584 | -9.0 |
11.100000381469727 | 11.0 | 29.790000915527344 | 29.78730010986328 | 5.424099922180176 | 32.37630081176758 | 19.83489990234375 | 0.5920000076293945 | 4.255000114440918 | 48.20000076293945 | 2.065999984741211 | 0.26100000739097595 | -9.0 |
11.600000381469727 | 11.5 | 29.746700286865234 | 29.743799209594727 | 5.424699783325195 | 32.4093017578125 | 19.874300003051758 | 0.5289999842643738 | 4.247000217437744 | 45.400001525878906 | 2.0399999618530273 | 0.2750000059604645 | -9.0 |
12.100000381469727 | 12.0 | 29.726299285888672 | 29.72330093383789 | 5.427000045776367 | 32.4379997253418 | 19.902700424194336 | 0.4729999899864197 | 4.239999771118164 | 42.900001525878906 | 2.015000104904175 | 0.28299999237060547 | -9.0 |
12.600000381469727 | 12.5 | 29.69540023803711 | 29.69230079650879 | 5.430500030517578 | 32.48270034790039 | 19.946500778198242 | 0.5270000100135803 | 4.236000061035156 | 40.79999923706055 | 1.9930000305175781 | 0.30300000309944153 | -9.0 |
13.100000381469727 | 13.0 | 29.726499557495117 | 29.72330093383789 | 5.443600177764893 | 32.549400329589844 | 19.986099243164062 | 0.5799999833106995 | 4.230999946594238 | 38.099998474121094 | 1.9630000591278076 | 0.3140000104904175 | -9.0 |
13.600000381469727 | 13.5 | 29.7893009185791 | 29.785999298095703 | 5.464399814605713 | 32.64680099487305 | 20.037900924682617 | 0.609000027179718 | 4.236999988555908 | 35.5 | 1.9329999685287476 | 0.3089999854564667 | -9.0 |
14.100000381469727 | 14.0 | 29.796199798583984 | 29.792699813842773 | 5.467800140380859 | 32.66469955444336 | 20.049100875854492 | 0.621999979019165 | 4.235000133514404 | 33.5 | 1.906999945640564 | 0.30799999833106995 | -9.0 |
14.600000381469727 | 14.5 | 29.802400588989258 | 29.798799514770508 | 5.472899913787842 | 32.694400787353516 | 20.06920051574707 | 0.5979999899864197 | 4.23799991607666 | 31.700000762939453 | 1.8830000162124634 | 0.31700000166893005 | -9.0 |
15.100000381469727 | 15.0 | 29.802499771118164 | 29.798799514770508 | 5.477200031280518 | 32.723201751708984 | 20.09079933166504 | 0.5460000038146973 | 4.236000061035156 | 29.799999237060547 | 1.8569999933242798 | 0.32100000977516174 | -9.0 |
15.600000381469727 | 15.5 | 29.742900848388672 | 29.739099502563477 | 5.473599910736084 | 32.73889923095703 | 20.122699737548828 | 0.5339999794960022 | 4.230999946594238 | 28.100000381469727 | 1.8309999704360962 | 0.3240000009536743 | -9.0 |
16.100000381469727 | 16.0 | 29.09600067138672 | 29.092100143432617 | 5.4293999671936035 | 32.88159942626953 | 20.44580078125 | 0.5360000133514404 | 4.195000171661377 | 26.299999237060547 | 1.8029999732971191 | 0.3709999918937683 | -9.0 |
16.600000381469727 | 16.5 | 28.235700607299805 | 28.231800079345703 | 5.398900032043457 | 33.26940155029297 | 21.02050018310547 | 0.5299999713897705 | 4.151000022888184 | 24.799999237060547 | 1.7769999504089355 | 0.4620000123977661 | -9.0 |
17.100000381469727 | 17.0 | 27.537799835205078 | 27.53380012512207 | 5.377900123596191 | 33.61909866333008 | 21.509300231933594 | 0.5379999876022339 | 4.114999771118164 | 23.200000762939453 | 1.7489999532699585 | 0.5170000195503235 | -9.0 |
17.600000381469727 | 17.5 | 26.604000091552734 | 26.600000381469727 | 5.343699932098389 | 34.054298400878906 | 22.134199142456055 | 0.546999990940094 | 4.089000225067139 | 22.0 | 1.725000023841858 | 0.5550000071525574 | -9.0 |
18.100000381469727 | 18.0 | 25.71500015258789 | 25.711000442504883 | 5.301799774169922 | 34.414100646972656 | 22.682600021362305 | 0.5770000219345093 | 4.054999828338623 | 20.399999618530273 | 1.6929999589920044 | 0.6389999985694885 | -9.0 |
18.600000381469727 | 18.5 | 24.740999221801758 | 24.73699951171875 | 5.2555999755859375 | 34.81679916381836 | 23.284099578857422 | 0.6470000147819519 | 4.043000221252441 | 18.700000762939453 | 1.6540000438690186 | 1.225000023841858 | -9.0 |
19.100000381469727 | 19.0 | 24.23310089111328 | 24.229000091552734 | 5.229300022125244 | 35.01430130004883 | 23.585800170898438 | 0.6669999957084656 | 4.054999828338623 | 16.799999237060547 | 1.6089999675750732 | 1.2339999675750732 | -9.0 |
19.600000381469727 | 19.5 | 24.010799407958984 | 24.00659942626953 | 5.222700119018555 | 35.139198303222656 | 23.74650001525879 | 0.5920000076293945 | 4.065999984741211 | 15.100000381469727 | 1.5609999895095825 | 1.0420000553131104 | -9.0 |
20.100000381469727 | 20.0 | 23.68000030517578 | 23.675800323486328 | 5.208799839019775 | 35.29610061645508 | 23.962900161743164 | 0.43799999356269836 | 4.01200008392334 | 13.5 | 1.5140000581741333 | 0.8389999866485596 | -9.0 |
20.600000381469727 | 20.5 | 23.51919937133789 | 23.51490020751953 | 5.202199935913086 | 35.37369918823242 | 24.069000244140625 | 0.3449999988079071 | 3.8889999389648438 | 12.300000190734863 | 1.4730000495910645 | 0.7730000019073486 | -9.0 |
21.100000381469727 | 21.0 | 23.468299865722656 | 23.463899612426758 | 5.202600002288818 | 35.41749954223633 | 24.11709976196289 | 0.42399999499320984 | 3.75600004196167 | 11.399999618530273 | 1.437999963760376 | 0.7200000286102295 | -9.0 |
21.600000381469727 | 21.5 | 23.348100662231445 | 23.343599319458008 | 5.200900077819824 | 35.50019836425781 | 24.21489906311035 | 0.5120000243186951 | 3.694999933242798 | 10.600000381469727 | 1.4079999923706055 | 0.6430000066757202 | -9.0 |
22.100000381469727 | 22.0 | 23.32550048828125 | 23.320899963378906 | 5.202400207519531 | 35.529998779296875 | 24.24410057067871 | 0.3720000088214874 | 3.6530001163482666 | 9.850000381469727 | 1.3760000467300415 | 0.6169999837875366 | -9.0 |
22.700000762939453 | 22.5 | 23.32430076599121 | 23.319599151611328 | 5.204500198364258 | 35.547298431396484 | 24.257600784301758 | 0.22200000286102295 | 3.6070001125335693 | 9.1899995803833 | 1.3459999561309814 | 0.5590000152587891 | -9.0 |
23.200000762939453 | 23.0 | 23.20560073852539 | 23.2007999420166 | 5.2017998695373535 | 35.621700286865234 | 24.348600387573242 | 0.07000000029802322 | 3.553999900817871 | 8.739999771118164 | 1.3240000009536743 | 0.5809999704360962 | -9.0 |
23.700000762939453 | 23.5 | 23.186100006103516 | 23.18120002746582 | 5.201900005340576 | 35.63850021362305 | 24.367000579833984 | 0.12800000607967377 | 3.4649999141693115 | 8.329999923706055 | 1.3029999732971191 | 0.8360000252723694 | -9.0 |
In total, there are 45 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.