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Dataset Title:  "LATEX CTD - d93d070.nc - 28.78N, 90.51W - 1993-02-09" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93d070)
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: 27)
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   27 options
    depth ?  =  m   27 options
    temperature ?  =  degree_C   27 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   27 options
    sigmat ?  =  kg m-3   27 options
    descentRate ?  =  meters per second   23 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   27 options
    parv ?  =  volts   27 options
    fluorescence ?  =  volts   11 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 15.566300392150879 15.566100120544434 3.188800096511841 24.80229949951172 18.011899948120117 0.14800000190734863 2.368000030517578 99.0999984741211 3.0260000228881836 5.0 -9.0
2.0 2.0 15.56470012664795 15.564399719238281 3.187999963760376 24.79680061340332 18.008100509643555 0.4099999964237213 2.359999895095825 70.5999984741211 2.878999948501587 5.0 -9.0
2.5 2.5 15.552300453186035 15.551899909973145 3.1816999912261963 24.750099182128906 17.97480010986328 0.4790000021457672 2.2179999351501465 48.599998474121094 2.7170000076293945 5.0 -9.0
3.0 3.0 15.550600051879883 15.550100326538086 3.180299997329712 24.738800048828125 17.96649932861328 0.503000020980835 2.1559998989105225 34.099998474121094 2.562999963760376 5.0 -9.0
3.5 3.5 15.563300132751465 15.562800407409668 3.1809000968933105 24.736099243164062 17.96190071105957 0.44600000977516174 2.1530001163482666 23.899999618530273 2.4089999198913574 5.0 -9.0
4.0 4.0 15.542400360107422 15.541799545288086 3.1791000366210938 24.733699798583984 17.964399337768555 0.4230000078678131 2.1500000953674316 17.100000381469727 2.2639999389648438 5.0 -9.0
4.5 4.5 15.520500183105469 15.51990032196045 3.183000087738037 24.780099868774414 18.004499435424805 0.44600000977516174 2.2190001010894775 12.600000381469727 2.130000114440918 5.0 -9.0
5.0 5.0 15.58650016784668 15.585700035095215 3.197000026702881 24.859399795532227 18.051599502563477 0.4699999988079071 2.486999988555908 9.529999732971191 2.009000062942505 5.0 -9.0
5.5 5.5 15.697799682617188 15.696999549865723 3.2425999641418457 25.18000030517578 18.27440071105957 0.4569999873638153 2.802999973297119 7.210000038146973 1.8880000114440918 5.0 -9.0
6.0 6.0 15.734199523925781 15.733400344848633 3.2509000301361084 25.2278995513916 18.303499221801758 0.460999995470047 2.9590001106262207 5.440000057220459 1.7660000324249268 5.0 -9.0
6.5 6.5 15.744999885559082 15.744099617004395 3.252500057220459 25.234899520874023 18.30660057067871 0.4659999907016754 2.9709999561309814 4.050000190734863 1.6369999647140503 5.0 -9.0
7.0 7.0 15.785400390625 15.78439998626709 3.259399890899658 25.268199920654297 18.323699951171875 0.4390000104904175 2.996000051498413 3.0399999618530273 1.5130000114440918 5.0 -9.0
7.599999904632568 7.5 15.802200317382812 15.80109977722168 3.268699884414673 25.337200164794922 18.37310028076172 0.42100000381469727 3.000999927520752 2.4100000858306885 1.4119999408721924 5.0 -9.0
8.100000381469727 8.0 15.990500450134277 15.989299774169922 3.3148999214172363 25.61090087890625 18.542999267578125 0.4180000126361847 3.0329999923706055 1.9700000286102295 1.3240000009536743 5.0 -9.0
8.600000381469727 8.5 16.299800872802734 16.298500061035156 3.4052999019622803 26.18120002746582 18.913799285888672 0.4659999907016754 3.046999931335449 1.6100000143051147 1.2359999418258667 5.0 -9.0
9.100000381469727 9.0 16.343000411987305 16.34160041809082 3.4507999420166016 26.5403995513916 19.179500579833984 0.49799999594688416 3.0490000247955322 1.2899999618530273 1.1410000324249268 5.0 -9.0
9.600000381469727 9.5 16.691200256347656 16.689699172973633 3.6273000240325928 27.80389976501465 20.06999969482422 0.4740000069141388 3.2209999561309814 1.0299999713897705 1.0410000085830688 5.0 -9.0
10.100000381469727 10.0 17.396699905395508 17.395099639892578 3.849400043487549 29.186599731445312 20.967899322509766 0.41200000047683716 3.861999988555908 0.800000011920929 0.9340000152587891 4.203000068664551 -9.0
10.600000381469727 10.5 17.95639991760254 17.954599380493164 4.008299827575684 30.1156005859375 21.547100067138672 0.3970000147819519 4.129000186920166 0.6299999952316284 0.828000009059906 2.3429999351501465 -9.0
11.100000381469727 11.0 18.226499557495117 18.224599838256836 4.076399803161621 30.484800338745117 21.76460075378418 0.35600000619888306 4.041999816894531 0.49000000953674316 0.7239999771118164 1.2929999828338623 -9.0
11.600000381469727 11.5 18.380599975585938 18.378599166870117 4.132699966430664 30.83839988708496 21.997400283813477 0.328000009059906 4.017000198364258 0.4000000059604645 0.6330000162124634 0.7870000004768372 -9.0
12.100000381469727 12.0 18.5 18.497900009155273 4.178100109100342 31.125999450683594 22.187999725341797 0.25699999928474426 3.9600000381469727 0.3499999940395355 0.5709999799728394 0.6759999990463257 -9.0
12.600000381469727 12.5 18.7012996673584 18.699100494384766 4.2459001541137695 31.53569984436035 22.451400756835938 0.25699999928474426 3.936000108718872 0.3400000035762787 0.5559999942779541 0.6200000047683716 -9.0
13.100000381469727 13.0 18.873199462890625 18.870899200439453 4.295899868011475 31.81760025024414 22.624000549316406 0.25999999046325684 3.8610000610351562 0.33000001311302185 0.5490000247955322 0.5649999976158142 -9.0
13.600000381469727 13.5 19.18779945373535 19.185400009155273 4.38129997253418 32.279300689697266 22.897499084472656 0.210999995470047 3.864000082015991 0.3100000023841858 0.5210000276565552 0.6359999775886536 -9.0
14.100000381469727 14.0 19.639999389648438 19.637500762939453 4.569799900054932 33.47060012817383 23.69059944152832 0.210999995470047 3.8259999752044678 0.28999999165534973 0.49399998784065247 0.5730000138282776 -9.0
14.600000381469727 14.5 19.953899383544922 19.951200485229492 4.737400054931641 34.59149932861328 24.46419906616211 0.19200000166893005 3.6570000648498535 0.27000001072883606 0.46000000834465027 0.5230000019073486 -9.0

In total, there are 27 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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