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Dataset Title:  "LATEX CTD - d93e067.nc - 28.96N, 93.0W - 1993-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93e067)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 37)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   37 options
    depth ?  =  m   37 options
    temperature ?  =  degree_C   36 options
    potentialTemperature ?  =  degree_C   34 options
    conductivity ?  =  Siemens per meter   34 options
    salinity ?  =  PSU   37 options
    sigmat ?  =  kg m-3   36 options
    descentRate ?  =  meters per second   35 options
    transmission ?  =  percent   32 options
    par ?  =  umol m-2 s-1   36 options
    parv ?  =  volts   37 options
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   1 option: -9.0

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

 
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.
 


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)  

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.
 


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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