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Dataset Title:  "LATEX CTD - d94i036.nc - 28.94N, 92.0W - 1994-07-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i036)
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   37 options
    potentialTemperature ?  =  degree_C   37 options
    conductivity ?  =  Siemens per meter   36 options
    salinity ?  =  PSU   37 options
    sigmat ?  =  kg m-3   37 options
    descentRate ?  =  meters per second   36 options
    transmission ?  =  percent   32 options
    par ?  =  umol m-2 s-1   2 options
    parv ?  =  volts   3 options
    fluorescence ?  =  volts   35 options
    backscattering ?  =  volts   20 options

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
2.0 2.0 28.969900131225586 28.96940040588379 4.798699855804443 28.711599349975586 17.363100051879883 0.16099999845027924 4.302000045776367 0.7400000095367432 0.006000000052154064 1.3250000476837158 0.03200000151991844
2.5 2.5 28.972200393676758 28.971599578857422 4.799099922180176 28.712900161743164 17.363300323486328 -0.2879999876022339 4.290999889373779 0.7300000190734863 0.003000000026077032 1.3270000219345093 0.032999999821186066
3.0 3.0 28.982799530029297 28.982099533081055 4.80079984664917 28.717300415039062 17.36319923400879 -0.0860000029206276 4.297999858856201 0.7300000190734863 0.0 1.3179999589920044 0.032999999821186066
3.5 3.5 28.993799209594727 28.992900848388672 4.803500175476074 28.728599548339844 17.368099212646484 -0.13300000131130219 4.298999786376953 0.7300000190734863 0.0 1.3240000009536743 0.03200000151991844
4.0 4.0 29.01729965209961 29.016300201416016 4.809100151062012 28.751800537109375 17.37779998779297 -0.06199999898672104 4.293000221252441 0.7300000190734863 0.0 1.315999984741211 0.03200000151991844
4.5 4.5 29.030099868774414 29.02910041809082 4.812699794769287 28.76849937438965 17.38610076904297 -0.22599999606609344 4.28000020980835 0.7300000190734863 0.0 1.3179999589920044 0.032999999821186066
5.0 5.0 29.052499771118164 29.051300048828125 4.821400165557861 28.81279945373535 17.412099838256836 0.29899999499320984 4.300000190734863 0.7300000190734863 0.0 1.312000036239624 0.032999999821186066
5.5 5.5 29.054399490356445 29.0531005859375 4.826600074768066 28.846099853515625 17.436399459838867 0.7310000061988831 4.297999858856201 0.7300000190734863 0.0 1.315999984741211 0.032999999821186066
6.0 6.0 29.07069969177246 29.06920051574707 4.842700004577637 28.94379997253418 17.504199981689453 -0.2919999957084656 4.296000003814697 0.7300000190734863 0.0 1.3350000381469727 0.03400000184774399
6.5 6.5 29.08049964904785 29.07900047302246 4.852399826049805 29.002700805664062 17.545000076293945 -0.9319999814033508 4.306000232696533 0.7300000190734863 0.0 1.343000054359436 0.03200000151991844
7.0 7.0 29.09309959411621 29.091400146484375 4.859899997711182 29.044700622558594 17.572399139404297 2.003999948501587 4.293000221252441 0.7300000190734863 0.0 1.340999960899353 0.032999999821186066
7.599999904632568 7.5 29.113800048828125 29.11199951171875 4.872600078582764 29.116899490356445 17.619699478149414 -0.22100000083446503 4.310999870300293 0.7300000190734863 0.0 1.350000023841858 0.03400000184774399
8.100000381469727 8.0 29.150400161743164 29.148500442504883 4.900000095367432 29.278099060058594 17.728300094604492 -0.10300000011920929 4.316999912261963 0.7300000190734863 0.0 1.3589999675750732 0.029999999329447746
8.600000381469727 8.5 29.21179962158203 29.209800720214844 4.926400184631348 29.416400909423828 17.811599731445312 -0.019999999552965164 4.315000057220459 0.7300000190734863 0.0 1.3849999904632568 0.029999999329447746
9.100000381469727 9.0 29.218700408935547 29.21649932861328 4.931399822235107 29.445999145507812 17.831600189208984 -0.10300000011920929 4.310999870300293 0.7300000190734863 0.0 1.378999948501587 0.03500000014901161
9.600000381469727 9.5 29.226999282836914 29.224700927734375 4.946899890899658 29.543699264526367 17.902000427246094 0.14000000059604645 4.317999839782715 0.7300000190734863 0.0 1.3799999952316284 0.029999999329447746
10.100000381469727 10.0 29.316099166870117 29.31369972229004 4.9868998527526855 29.756399154663086 18.03179931640625 0.16699999570846558 4.308000087738037 0.7300000190734863 0.0 1.3919999599456787 0.03099999949336052
10.600000381469727 10.5 29.432899475097656 29.430400848388672 5.204500198364258 31.139699935913086 19.028499603271484 0.003000000026077032 4.214000225067139 0.7300000190734863 0.0 1.4220000505447388 0.03099999949336052
11.100000381469727 11.0 29.29509925842285 29.292400360107422 5.335599899291992 32.11159896850586 19.802400588989258 -0.16599999368190765 4.270999908447266 0.7300000190734863 0.0 1.4730000495910645 0.03700000047683716
11.600000381469727 11.5 29.313600540161133 29.310800552368164 5.407899856567383 32.58810043334961 20.15329933166504 -0.38499999046325684 4.314000129699707 0.7300000190734863 0.0 1.4950000047683716 0.032999999821186066
12.100000381469727 12.0 29.29450035095215 29.291500091552734 5.44920015335083 32.880699157714844 20.379100799560547 2.492000102996826 4.316999912261963 0.7300000190734863 0.0 1.5089999437332153 0.03200000151991844
12.600000381469727 12.5 29.27869987487793 29.27560043334961 5.459499835968018 32.961299896240234 20.444799423217773 0.11299999803304672 4.321000099182129 0.7300000190734863 0.0 1.5260000228881836 0.03099999949336052
13.100000381469727 13.0 29.175600051879883 29.172399520874023 5.472499847412109 33.12080001831055 20.598800659179688 -0.8700000047683716 4.310999870300293 0.7300000190734863 0.0 1.531999945640564 0.03200000151991844
13.600000381469727 13.5 28.927000045776367 28.9237003326416 5.468299865722656 33.263999938964844 20.788799285888672 0.8199999928474426 4.289999961853027 0.7300000190734863 0.0 1.5640000104904175 0.03400000184774399
14.100000381469727 14.0 28.26849937438965 28.265199661254883 5.446800231933594 33.57979965209961 21.24250030517578 0.6970000267028809 4.258999824523926 0.7300000190734863 0.0 1.628000020980835 0.03799999877810478
14.600000381469727 14.5 27.32990074157715 27.326499938964844 5.42710018157959 34.11709976196289 21.95050048828125 1.2649999856948853 4.203000068664551 0.7300000190734863 0.0 1.7510000467300415 0.04500000178813934
15.100000381469727 15.0 26.54210090637207 26.538700103759766 5.415800094604492 34.61909866333008 22.57900047302246 0.3319999873638153 4.1579999923706055 0.7300000190734863 0.0 1.8519999980926514 0.04800000041723251
15.600000381469727 15.5 25.779800415039062 25.77630043029785 5.415999889373779 35.200199127197266 23.255800247192383 -0.4569999873638153 4.11299991607666 0.7300000190734863 0.0 1.9079999923706055 0.04899999871850014
16.100000381469727 16.0 25.315200805664062 25.31170082092285 5.412099838256836 35.531898498535156 23.649799346923828 0.3619999885559082 3.8970000743865967 0.7300000190734863 0.0 1.9769999980926514 0.10999999940395355
16.600000381469727 16.5 25.21969985961914 25.216100692749023 5.408299922943115 35.578399658203125 23.71419906616211 -0.026000000536441803 3.628000020980835 0.7300000190734863 0.0 2.009999990463257 0.1550000011920929
17.100000381469727 17.0 25.191299438476562 25.187599182128906 5.407100200653076 35.59130096435547 23.73270034790039 -0.5529999732971191 3.5999999046325684 0.7300000190734863 0.0 1.996000051498413 0.17499999701976776
17.600000381469727 17.5 25.17180061340332 25.167999267578125 5.406400203704834 35.60139846801758 23.746400833129883 0.38999998569488525 3.561000108718872 0.7300000190734863 0.0 1.9889999628067017 0.1809999942779541
18.100000381469727 18.0 25.166799545288086 25.162799835205078 5.406400203704834 35.60499954223633 23.750699996948242 -0.1379999965429306 3.5829999446868896 0.7300000190734863 0.0 1.968999981880188 0.19200000166893005
18.600000381469727 18.5 25.159900665283203 25.155799865722656 5.406300067901611 35.60969924926758 23.75629997253418 -0.013000000268220901 3.559000015258789 0.7300000190734863 0.0 1.9509999752044678 0.20399999618530273
19.100000381469727 19.0 25.15679931640625 25.152700424194336 5.406499862670898 35.61330032348633 23.760000228881836 0.13500000536441803 3.5380001068115234 0.7300000190734863 0.0 1.940000057220459 0.20800000429153442
19.600000381469727 19.5 25.15559959411621 25.15130043029785 5.406799793243408 35.616600036621094 23.76300048828125 0.052000001072883606 3.553999900817871 0.7300000190734863 0.0 1.9429999589920044 0.210999995470047
20.100000381469727 20.0 25.153400421142578 25.14900016784668 5.408599853515625 35.63169860839844 23.775100708007812 0.35100001096725464 3.4779999256134033 0.7300000190734863 0.0 1.944000005722046 0.20900000631809235

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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