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Dataset Title:  "LATEX CTD - d94h070.nc - 29.57N, 93.0W - 1994-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h070)
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: 16)
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   16 options
    depth ?  =  m   16 options
    temperature ?  =  degree_C   16 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   16 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   16 options
    backscattering ?  =  volts   16 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
2.5 2.5 24.839000701904297 24.838499069213867 3.574700117111206 22.61210060119629 14.057499885559082 0.32600000500679016 2.125 1.0299999713897705 0.34299999475479126 1.4980000257492065 0.6499999761581421
3.0 3.0 24.836599349975586 24.836000442504883 3.5708999633789062 22.58690071105957 14.039199829101562 0.4359999895095825 2.125999927520752 0.7699999809265137 0.22100000083446503 1.4869999885559082 0.6470000147819519
3.5 3.5 24.835500717163086 24.834800720214844 3.5703001022338867 22.582799911499023 14.036499977111816 0.4690000116825104 2.128999948501587 0.5199999809265137 0.050999999046325684 1.4639999866485596 0.652999997138977
4.0 4.0 24.84149932861328 24.840700149536133 3.575500011444092 22.616500854492188 14.060099601745605 0.5529999732971191 2.1480000019073486 0.46000000834465027 -9.0 1.5180000066757202 0.656000018119812
4.5 4.5 24.854000091552734 24.853099822998047 3.5820000171661377 22.655399322509766 14.085800170898438 0.7409999966621399 2.1459999084472656 0.4699999988079071 0.0 1.6080000400543213 0.6489999890327454
5.0 5.0 24.853200912475586 24.852100372314453 3.579400062561035 22.637300491333008 14.072500228881836 0.5669999718666077 2.1649999618530273 0.4699999988079071 0.0 1.6829999685287476 0.6510000228881836
5.5 5.5 24.860000610351562 24.85890007019043 3.594399929046631 22.739299774169922 14.147199630737305 0.5070000290870667 2.2309999465942383 0.4699999988079071 0.0 1.6369999647140503 0.6570000052452087
6.0 6.0 24.8572998046875 24.856000900268555 3.6217000484466553 22.931299209594727 14.2923002243042 0.6349999904632568 2.2360000610351562 0.4699999988079071 0.0 1.6660000085830688 0.6330000162124634
6.5 6.5 24.850200653076172 24.848899841308594 3.6530001163482666 23.154399871826172 14.461999893188477 0.503000020980835 2.255000114440918 0.4699999988079071 0.0 1.7170000076293945 0.6240000128746033
7.0 7.0 24.84440040588379 24.843000411987305 3.6470999717712402 23.1156005859375 14.434499740600586 0.5720000267028809 2.196000099182129 0.4699999988079071 0.0 1.7430000305175781 0.640999972820282
7.599999904632568 7.5 24.834699630737305 24.833200454711914 3.6826000213623047 23.369600296020508 14.628299713134766 0.4620000123977661 2.194999933242798 0.4699999988079071 0.0 1.7039999961853027 0.6340000033378601
8.100000381469727 8.0 24.814699172973633 24.812999725341797 3.7518999576568604 23.868200302124023 15.00879955291748 0.5759999752044678 2.1080000400543213 0.4699999988079071 0.0 1.8650000095367432 0.6449999809265137
8.600000381469727 8.5 24.802200317382812 24.800399780273438 3.764699935913086 23.96470069885254 15.08489990234375 0.47699999809265137 1.8940000534057617 0.4699999988079071 0.0 1.8389999866485596 0.7099999785423279
9.100000381469727 9.0 24.787599563598633 24.78569984436035 3.7941999435424805 24.18079948425293 15.251700401306152 0.30399999022483826 1.774999976158142 0.4699999988079071 0.0 1.8769999742507935 0.7710000276565552
9.600000381469727 9.5 24.766599655151367 24.764699935913086 3.8299999237060547 24.444900512695312 15.456299781799316 0.3059999942779541 1.5839999914169312 0.4699999988079071 0.0 1.9709999561309814 0.8809999823570251
10.100000381469727 10.0 24.744199752807617 24.74209976196289 3.8701999187469482 24.74139976501465 15.685799598693848 0.38199999928474426 1.218000054359436 0.4699999988079071 0.0 2.0429999828338623 0.9670000076293945

In total, there are 16 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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