Metocean: Historical collections
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Brought to you by NOAA NMFS SWFSC ERD |
Dataset Title: | "LATEX CTD - d93e067.nc - 28.96N, 93.0W - 1993-04-30" |
Institution: | Texas A&M University, Department of Oceanography (Dataset ID: latex_d93e067) |
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 | 20.969600677490234 | 20.96929931640625 | 4.303999900817871 | 30.339799880981445 | 20.95989990234375 | -0.14800000190734863 | 4.3429999351501465 | 1150.0 | 4.089000225067139 | 1.3919999599456787 | -9.0 |
2.0 | 2.0 | 20.97369956970215 | 20.973400115966797 | 4.305200099945068 | 30.345699310302734 | 20.963300704956055 | 0.25099998712539673 | 4.341000080108643 | 901.0 | 3.984999895095825 | 1.430999994277954 | -9.0 |
2.5 | 2.5 | 20.975000381469727 | 20.974599838256836 | 4.3053998947143555 | 30.346200942993164 | 20.96339988708496 | 0.5329999923706055 | 4.3420000076293945 | 773.0 | 3.9179999828338623 | 1.444000005722046 | -9.0 |
3.0 | 3.0 | 20.960399627685547 | 20.959800720214844 | 4.30620002746582 | 30.363300323486328 | 20.980300903320312 | 0.5429999828338623 | 4.339000225067139 | 698.0 | 3.874000072479248 | 1.434000015258789 | -9.0 |
3.5 | 3.5 | 20.974000930786133 | 20.973400115966797 | 4.305300235748291 | 30.34589958190918 | 20.963499069213867 | 0.5139999985694885 | 4.341000080108643 | 670.0 | 3.8559999465942383 | 1.430999994277954 | -9.0 |
4.0 | 4.0 | 20.95359992980957 | 20.952899932861328 | 4.30649995803833 | 30.369600296020508 | 20.986900329589844 | 0.40299999713897705 | 4.3429999351501465 | 566.0 | 3.7829999923706055 | 1.4490000009536743 | -9.0 |
4.5 | 4.5 | 20.951499938964844 | 20.950700759887695 | 4.305600166320801 | 30.36389923095703 | 20.98310089111328 | 0.328000009059906 | 4.343999862670898 | 449.0 | 3.681999921798706 | 1.4700000286102295 | -9.0 |
5.0 | 5.0 | 20.946199417114258 | 20.945199966430664 | 4.304800033569336 | 30.361799240112305 | 20.982999801635742 | 0.5249999761581421 | 4.343999862670898 | 382.0 | 3.611999988555908 | 1.465999960899353 | -9.0 |
5.5 | 5.5 | 20.94540023803711 | 20.944299697875977 | 4.3059000968933105 | 30.37030029296875 | 20.989599227905273 | 0.6119999885559082 | 4.3420000076293945 | 354.0 | 3.5789999961853027 | 1.503999948501587 | -9.0 |
6.0 | 6.0 | 20.933799743652344 | 20.93269920349121 | 4.306700229644775 | 30.385299682617188 | 21.004100799560547 | 0.5519999861717224 | 4.3470001220703125 | 287.0 | 3.48799991607666 | 1.5190000534057617 | -9.0 |
6.5 | 6.5 | 20.93829917907715 | 20.93709945678711 | 4.30649995803833 | 30.380399703979492 | 20.999300003051758 | 0.4359999895095825 | 4.3460001945495605 | 263.0 | 3.450000047683716 | 1.5379999876022339 | -9.0 |
7.0 | 7.0 | 20.938100814819336 | 20.936800003051758 | 4.30649995803833 | 30.380300521850586 | 20.999300003051758 | 0.39800000190734863 | 4.349999904632568 | 217.0 | 3.367000102996826 | 1.531000018119812 | -9.0 |
7.599999904632568 | 7.5 | 20.931499481201172 | 20.930099487304688 | 4.3069000244140625 | 30.387699127197266 | 21.00659942626953 | 0.40799999237060547 | 4.349999904632568 | 186.0 | 3.2990000247955322 | 1.5449999570846558 | -9.0 |
8.100000381469727 | 8.0 | 20.88319969177246 | 20.88170051574707 | 4.3105998039245605 | 30.450899124145508 | 21.0674991607666 | 0.4819999933242798 | 4.34499979019165 | 174.0 | 3.2699999809265137 | 1.555999994277954 | -9.0 |
8.600000381469727 | 8.5 | 20.856399536132812 | 20.854799270629883 | 4.315000057220459 | 30.50469970703125 | 21.115400314331055 | 0.5550000071525574 | 4.335000038146973 | 147.0 | 3.197999954223633 | 1.5460000038146973 | -9.0 |
9.100000381469727 | 9.0 | 20.715599060058594 | 20.713899612426758 | 4.351399898529053 | 30.89419937133789 | 21.44849967956543 | 0.5049999952316284 | 4.328000068664551 | 150.0 | 3.2060000896453857 | 1.562999963760376 | -9.0 |
9.600000381469727 | 9.5 | 20.547000885009766 | 20.54520034790039 | 4.3460001945495605 | 30.97369956970215 | 21.553300857543945 | 0.3370000123977661 | 4.288000106811523 | 133.0 | 3.1549999713897705 | 1.6009999513626099 | -9.0 |
10.100000381469727 | 10.0 | 20.047500610351562 | 20.045700073242188 | 4.362800121307373 | 31.475799560546875 | 22.06529998779297 | 0.5139999985694885 | 4.25600004196167 | 133.0 | 3.1540000438690186 | 1.5880000591278076 | -9.0 |
10.600000381469727 | 10.5 | 19.997100830078125 | 19.995100021362305 | 4.365200042724609 | 31.533100128173828 | 22.121999740600586 | 0.6650000214576721 | 4.22599983215332 | 118.0 | 3.1029999256134033 | 1.5959999561309814 | -9.0 |
11.100000381469727 | 11.0 | 19.95800018310547 | 19.95599937438965 | 4.368100166320801 | 31.585399627685547 | 22.171899795532227 | 0.6190000176429749 | 4.201000213623047 | 92.0 | 2.99399995803833 | 1.5880000591278076 | -9.0 |
11.600000381469727 | 11.5 | 19.96969985961914 | 19.967599868774414 | 4.367700099945068 | 31.57309913635254 | 22.15959930419922 | 0.32499998807907104 | 4.168000221252441 | 85.5 | 2.9619998931884766 | 1.5820000171661377 | -9.0 |
12.100000381469727 | 12.0 | 19.947900772094727 | 19.94569969177246 | 4.374599933624268 | 31.645700454711914 | 22.220500946044922 | 0.3930000066757202 | 4.190000057220459 | 78.0 | 2.921999931335449 | 1.5859999656677246 | -9.0 |
12.600000381469727 | 12.5 | 19.87579917907715 | 19.873600006103516 | 4.389900207519531 | 31.823299407958984 | 22.374399185180664 | 0.7319999933242798 | 4.114999771118164 | 68.0999984741211 | 2.86299991607666 | 1.5709999799728394 | -9.0 |
13.100000381469727 | 13.0 | 19.872800827026367 | 19.870500564575195 | 4.405099868774414 | 31.94879913330078 | 22.470800399780273 | 0.8040000200271606 | 4.10699987411499 | 64.9000015258789 | 2.8420000076293945 | 1.562999963760376 | -9.0 |
13.600000381469727 | 13.5 | 19.91710090637207 | 19.914600372314453 | 4.431000232696533 | 32.1244010925293 | 22.59320068359375 | 0.6909999847412109 | 4.177999973297119 | 60.900001525878906 | 2.815000057220459 | 1.5549999475479126 | -9.0 |
14.100000381469727 | 14.0 | 19.919300079345703 | 19.916799545288086 | 4.432499885559082 | 32.1348991394043 | 22.60070037841797 | 0.2919999957084656 | 4.205999851226807 | 48.900001525878906 | 2.7190001010894775 | 1.503000020980835 | -9.0 |
14.600000381469727 | 14.5 | 19.823400497436523 | 19.82080078125 | 4.462900161743164 | 32.45539855957031 | 22.869600296020508 | 0.5360000133514404 | 4.208000183105469 | 41.900001525878906 | 2.6519999504089355 | 1.468000054359436 | -9.0 |
15.100000381469727 | 15.0 | 19.72130012512207 | 19.718599319458008 | 4.481200218200684 | 32.68299865722656 | 23.069499969482422 | 0.7749999761581421 | 4.135000228881836 | 36.5 | 2.5920000076293945 | 1.4550000429153442 | -9.0 |
15.600000381469727 | 15.5 | 19.71419906616211 | 19.71139907836914 | 4.484300136566162 | 32.71419906616211 | 23.09510040283203 | 0.7889999747276306 | 3.799999952316284 | 32.400001525878906 | 2.5409998893737793 | 1.4550000429153442 | -9.0 |
16.100000381469727 | 16.0 | 19.71739959716797 | 19.714500427246094 | 4.485799789428711 | 32.72359848022461 | 23.10140037536621 | 0.5669999718666077 | 3.7060000896453857 | 29.0 | 2.493000030517578 | 1.4470000267028809 | -9.0 |
16.600000381469727 | 16.5 | 19.73979949951172 | 19.736799240112305 | 4.482900142669678 | 32.68220138549805 | 23.06410026550293 | 0.1979999989271164 | 3.875 | 25.600000381469727 | 2.437999963760376 | 1.4450000524520874 | -9.0 |
17.100000381469727 | 17.0 | 19.720399856567383 | 19.717300415039062 | 4.488999843597412 | 32.74679946899414 | 23.11840057373047 | 0.7429999709129333 | 3.703000068664551 | 23.100000381469727 | 2.3940000534057617 | 1.4459999799728394 | -9.0 |
17.600000381469727 | 17.5 | 19.72100067138672 | 19.71780014038086 | 4.489099979400635 | 32.74729919433594 | 23.11870002746582 | 0.8450000286102295 | 3.627000093460083 | 20.100000381469727 | 2.3340001106262207 | 1.4490000009536743 | -9.0 |
18.100000381469727 | 18.0 | 19.721099853515625 | 19.71780014038086 | 4.489200115203857 | 32.74760055541992 | 23.118900299072266 | 0.7429999709129333 | 3.61299991607666 | 16.700000762939453 | 2.253000020980835 | 1.4500000476837158 | -9.0 |
18.600000381469727 | 18.5 | 19.721399307250977 | 19.71809959411621 | 4.489099979400635 | 32.74660110473633 | 23.118099212646484 | 0.3449999988079071 | 3.631999969482422 | 13.399999618530273 | 2.1559998989105225 | 1.4459999799728394 | -9.0 |
19.100000381469727 | 19.0 | 19.720699310302734 | 19.717300415039062 | 4.4893999099731445 | 32.7495002746582 | 23.120500564575195 | 0.39500001072883606 | 3.6519999504089355 | 11.699999809265137 | 2.0980000495910645 | 1.4450000524520874 | -9.0 |
19.600000381469727 | 19.5 | 19.720699310302734 | 19.717100143432617 | 4.48960018157959 | 32.7510986328125 | 23.12179946899414 | 0.2370000034570694 | 3.6470000743865967 | 10.5 | 2.052000045776367 | 1.440999984741211 | -9.0 |
In total, there are 37 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.