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Dataset Title:  "LATEX CTD - d93f126.nc - 28.98N, 94.74W - 1993-08-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f126)
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: 25)
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   25 options
    depth ?  =  m   25 options
    temperature ?  =  degree_C   25 options
    potentialTemperature ?  =  degree_C   25 options
    conductivity ?  =  Siemens per meter   24 options
    salinity ?  =  PSU   25 options
    sigmat ?  =  kg m-3   25 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   22 options
    par ?  =  umol m-2 s-1   10 options
    parv ?  =  volts   11 options
    fluorescence ?  =  volts   24 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
2.0 2.0 29.97010040283203 29.969600677490234 5.848499774932861 35.11289978027344 21.82360076904297 0.22100000083446503 4.427999973297119 2.5899999141693115 0.7020000219345093 1.003000020980835 -9.0
2.5 2.5 29.972299575805664 29.97170066833496 5.848800182342529 35.112998962402344 21.822999954223633 0.3490000069141388 4.427999973297119 1.840000033378601 0.5519999861717224 0.9660000205039978 -9.0
3.0 3.0 29.968399047851562 29.967599868774414 5.848899841308594 35.11669921875 21.827199935913086 0.26899999380111694 4.428999900817871 1.5800000429153442 0.4869999885559082 0.9340000152587891 -9.0
3.5 3.5 29.965099334716797 29.96430015563965 5.848599910736084 35.11709976196289 21.828699111938477 0.47200000286102295 4.428999900817871 1.2100000381469727 0.3700000047683716 0.9359999895095825 -9.0
4.0 4.0 29.963899612426758 29.962900161743164 5.848999977111816 35.120201110839844 21.83139991760254 0.34599998593330383 4.426000118255615 1.0099999904632568 0.2939999997615814 0.9679999947547913 -9.0
4.5 4.5 29.962400436401367 29.961299896240234 5.848800182342529 35.119998931884766 21.83180046081543 0.25699999928474426 4.427000045776367 0.7699999809265137 0.17399999499320984 0.9470000267028809 -9.0
5.0 5.0 29.91860008239746 29.917400360107422 5.8454999923706055 35.12900161743164 21.853599548339844 0.44699999690055847 4.427000045776367 0.7099999785423279 0.1379999965429306 0.9739999771118164 -9.0
5.5 5.5 29.88290023803711 29.881500244140625 5.842199802398682 35.132301330566406 21.86829948425293 0.3619999885559082 4.422999858856201 0.6100000143051147 0.07599999755620956 1.0440000295639038 -9.0
6.0 6.0 29.84779930114746 29.84630012512207 5.838399887084961 35.13249969482422 21.880399703979492 0.2770000100135803 4.423999786376953 0.550000011920929 0.028999999165534973 1.0360000133514404 -9.0
6.5 6.5 29.79599952697754 29.79439926147461 5.833099842071533 35.1338005065918 21.899099349975586 0.37599998712539673 4.421000003814697 0.5099999904632568 -9.0 1.0119999647140503 -9.0
7.0 7.0 29.776399612426758 29.774700164794922 5.829999923706055 35.12649917602539 21.900299072265625 0.4180000126361847 4.416999816894531 0.5099999904632568 0.0 0.9769999980926514 -9.0
7.599999904632568 7.5 29.66349983215332 29.66160011291504 5.816699981689453 35.11819839477539 21.93239974975586 0.30300000309944153 4.4029998779296875 0.5099999904632568 0.0 1.0019999742507935 -9.0
8.100000381469727 8.0 29.63629913330078 29.634300231933594 5.820300102233887 35.162601470947266 21.975000381469727 0.3230000138282776 4.385000228881836 0.5099999904632568 0.0 1.0720000267028809 -9.0
8.600000381469727 8.5 29.6387996673584 29.636699676513672 5.8225998878479 35.176300048828125 21.984399795532227 0.39800000190734863 4.388999938964844 0.5099999904632568 0.0 1.0720000267028809 -9.0
9.100000381469727 9.0 29.566600799560547 29.56439971923828 5.820799827575684 35.21670150756836 22.039199829101562 0.39100000262260437 4.392000198364258 0.5099999904632568 0.0 1.1039999723434448 -9.0
9.600000381469727 9.5 29.430099487304688 29.42770004272461 5.810800075531006 35.248199462890625 22.108999252319336 0.3409999907016754 4.330999851226807 0.5099999904632568 0.0 1.1790000200271606 -9.0
10.100000381469727 10.0 29.375900268554688 29.37350082397461 5.804599761962891 35.24580001831055 22.125600814819336 0.3580000102519989 4.284999847412109 0.5099999904632568 0.0 1.274999976158142 -9.0
10.600000381469727 10.5 29.34510040283203 29.342500686645508 5.800899982452393 35.242801666259766 22.133699417114258 0.453000009059906 4.238999843597412 0.5099999904632568 0.0 1.3459999561309814 -9.0
11.100000381469727 11.0 29.33009910583496 29.32740020751953 5.798699855804443 35.23830032348633 22.135499954223633 0.43799999356269836 4.2210001945495605 0.5099999904632568 0.0 1.3769999742507935 -9.0
11.600000381469727 11.5 29.31439971923828 29.311599731445312 5.796500205993652 35.23440170288086 22.13789939880371 0.38100001215934753 4.182000160217285 0.5099999904632568 0.0 1.4759999513626099 -9.0
12.100000381469727 12.0 29.272499084472656 29.269500732421875 5.7906999588012695 35.22529983520508 22.145200729370117 0.35100001096725464 4.142000198364258 0.5099999904632568 0.0 1.496999979019165 -9.0
12.600000381469727 12.5 29.266199111938477 29.263200759887695 5.790900230407715 35.2318000793457 22.15220069885254 0.4129999876022339 4.085999965667725 0.5099999904632568 0.0 1.534999966621399 -9.0
13.100000381469727 13.0 29.31399917602539 29.310800552368164 5.801499843597412 35.26900100708008 22.164100646972656 0.335999995470047 4.044000148773193 0.5099999904632568 0.0 1.5759999752044678 -9.0
13.600000381469727 13.5 29.399900436401367 29.3966007232666 5.819300174713135 35.327701568603516 22.17919921875 0.15800000727176666 4.057000160217285 0.5099999904632568 0.0 1.621000051498413 -9.0
14.100000381469727 14.0 29.436100006103516 29.432600021362305 5.827400207519531 35.355899810791016 22.18829917907715 0.13899999856948853 4.047999858856201 0.5099999904632568 0.0 1.527999997138977 -9.0

In total, there are 25 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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