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Dataset Title:  "LATEX CTD - d94h098.nc - 28.62N, 94.64W - 1994-05-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h098)
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: 54)
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   54 options
    depth ?  =  m   54 options
    temperature ?  =  degree_C   48 options
    potentialTemperature ?  =  degree_C   44 options
    conductivity ?  =  Siemens per meter   41 options
    salinity ?  =  PSU   54 options
    sigmat ?  =  kg m-3   52 options
    descentRate ?  =  meters per second   52 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   7 options
    parv ?  =  volts   7 options
    fluorescence ?  =  volts   43 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 22.150299072265625 22.149900436401367 4.958799839019775 34.5890007019043 23.864999771118164 0.3919999897480011 4.324999809265137 1.0199999809265137 0.3400000035762787 0.4740000069141388 0.03700000047683716
2.5 2.5 22.151100158691406 22.15060043334961 4.9604997634887695 34.60200119018555 23.87470054626465 0.39899998903274536 4.333000183105469 0.7799999713897705 0.22499999403953552 0.4480000138282776 0.03500000014901161
3.0 3.0 22.15089988708496 22.150299072265625 4.962699890136719 34.618900299072266 23.88759994506836 0.43700000643730164 4.331999778747559 0.6800000071525574 0.16200000047683716 0.41600000858306885 0.03200000151991844
3.5 3.5 22.15130043029785 22.15060043334961 4.9629998207092285 34.62080001831055 23.888999938964844 0.6320000290870667 4.330999851226807 0.5199999809265137 0.052000001072883606 0.4169999957084656 0.029999999329447746
4.0 4.0 22.15169906616211 22.15089988708496 4.9633002281188965 34.62229919433594 23.890100479125977 0.4050000011920929 4.334000110626221 0.5400000214576721 0.061000000685453415 0.4180000126361847 0.03799999877810478
4.5 4.5 22.15220069885254 22.15130043029785 4.9633002281188965 34.62220001220703 23.88990020751953 0.43700000643730164 4.334000110626221 0.49000000953674316 0.017999999225139618 0.4259999990463257 0.028999999165534973
5.0 5.0 22.152599334716797 22.151599884033203 4.9633002281188965 34.62139892578125 23.88920021057129 0.5550000071525574 4.334000110626221 0.4699999988079071 0.0 0.4269999861717224 0.03099999949336052
5.5 5.5 22.1560001373291 22.15489959716797 4.964399814605713 34.627601623535156 23.89299964904785 0.40400001406669617 4.333000183105469 0.4699999988079071 0.0 0.4099999964237213 0.029999999329447746
6.0 6.0 22.15959930419922 22.15839958190918 4.96560001373291 34.63399887084961 23.896799087524414 0.38999998569488525 4.334000110626221 0.4699999988079071 0.0 0.42399999499320984 0.029999999329447746
6.5 6.5 22.16160011291504 22.16029930114746 4.966100215911865 34.63570022583008 23.897600173950195 0.5989999771118164 4.331999778747559 0.4699999988079071 0.0 0.4300000071525574 0.03099999949336052
7.0 7.0 22.161500930786133 22.16010093688965 4.966000080108643 34.63520050048828 23.897300720214844 0.593999981880188 4.333000183105469 0.4699999988079071 0.0 0.4569999873638153 0.03099999949336052
7.599999904632568 7.5 22.161300659179688 22.159799575805664 4.966000080108643 34.634700775146484 23.89699935913086 0.375 4.333000183105469 0.4699999988079071 0.0 0.44999998807907104 0.03400000184774399
8.100000381469727 8.0 22.161399841308594 22.159799575805664 4.966000080108643 34.6349983215332 23.897199630737305 0.23899999260902405 4.334000110626221 0.4699999988079071 0.0 0.4230000078678131 0.028999999165534973
8.600000381469727 8.5 22.16160011291504 22.159900665283203 4.966100215911865 34.635101318359375 23.897199630737305 0.36899998784065247 4.333000183105469 0.4699999988079071 0.0 0.41200000047683716 0.029999999329447746
9.100000381469727 9.0 22.16200065612793 22.160200119018555 4.96619987487793 34.635501861572266 23.897499084472656 0.5049999952316284 4.333000183105469 0.4699999988079071 0.0 0.4230000078678131 0.032999999821186066
9.600000381469727 9.5 22.161500930786133 22.15959930419922 4.966100215911865 34.634498596191406 23.896900177001953 0.41600000858306885 4.334000110626221 0.4699999988079071 0.0 0.4230000078678131 0.03200000151991844
10.100000381469727 10.0 22.161699295043945 22.159700393676758 4.966300010681152 34.635799407958984 23.897899627685547 0.3709999918937683 4.334000110626221 0.4699999988079071 0.0 0.43299999833106995 0.029999999329447746
10.600000381469727 10.5 22.16230010986328 22.160200119018555 4.9664998054504395 34.637001037597656 23.89859962463379 0.5379999876022339 4.333000183105469 0.4699999988079071 0.0 0.46799999475479126 0.029999999329447746
11.100000381469727 11.0 22.162099838256836 22.159900665283203 4.966400146484375 34.63589859008789 23.897899627685547 0.5130000114440918 4.333000183105469 0.4699999988079071 0.0 0.44699999690055847 0.032999999821186066
11.600000381469727 11.5 22.162900924682617 22.160600662231445 4.966800212860107 34.638301849365234 23.899499893188477 0.3499999940395355 4.330999851226807 0.4699999988079071 0.0 0.4309999942779541 0.06499999761581421
12.100000381469727 12.0 22.16390037536621 22.16160011291504 4.967400074005127 34.642601013183594 23.90250015258789 0.5759999752044678 4.334000110626221 0.4699999988079071 0.0 0.41999998688697815 0.03200000151991844
12.600000381469727 12.5 22.164400100708008 22.16189956665039 4.968200206756592 34.648101806640625 23.9064998626709 0.6700000166893005 4.333000183105469 0.4699999988079071 0.0 0.42399999499320984 0.03200000151991844
13.100000381469727 13.0 22.16469955444336 22.162099838256836 4.968500137329102 34.64970016479492 23.907699584960938 0.4490000009536743 4.334000110626221 0.4699999988079071 0.0 0.4169999957084656 0.03099999949336052
13.600000381469727 13.5 22.16469955444336 22.162099838256836 4.968299865722656 34.64849853515625 23.90679931640625 0.4659999907016754 4.328000068664551 0.4699999988079071 0.0 0.42899999022483826 0.029999999329447746
14.100000381469727 14.0 22.164899826049805 22.162099838256836 4.968400001525879 34.648399353027344 23.906700134277344 0.628000020980835 4.331999778747559 0.4699999988079071 0.0 0.44699999690055847 0.03200000151991844
14.600000381469727 14.5 22.1648006439209 22.16189956665039 4.968599796295166 34.650299072265625 23.908199310302734 0.4410000145435333 4.335000038146973 0.4699999988079071 0.0 0.45100000500679016 0.03099999949336052
15.100000381469727 15.0 22.16390037536621 22.160900115966797 4.969299793243408 34.65650177001953 23.91320037841797 0.34700000286102295 4.330999851226807 0.4699999988079071 0.0 0.43700000643730164 0.03099999949336052
15.600000381469727 15.5 22.162900924682617 22.159799575805664 4.969600200653076 34.6593017578125 23.915700912475586 0.4180000126361847 4.331999778747559 0.4699999988079071 0.0 0.4440000057220459 0.03200000151991844
16.100000381469727 16.0 22.162799835205078 22.15959930419922 4.969799995422363 34.660400390625 23.916500091552734 0.4230000078678131 4.330999851226807 0.4699999988079071 0.0 0.4259999990463257 0.03099999949336052
16.600000381469727 16.5 22.16309928894043 22.159799575805664 4.969900131225586 34.660701751708984 23.916799545288086 0.5389999747276306 4.329999923706055 0.4699999988079071 0.0 0.4320000112056732 0.03099999949336052
17.100000381469727 17.0 22.162799835205078 22.159400939941406 4.969900131225586 34.661399841308594 23.917299270629883 0.492000013589859 4.331999778747559 0.4699999988079071 0.0 0.4259999990463257 0.03099999949336052
17.600000381469727 17.5 22.16029930114746 22.15679931640625 4.96999979019165 34.66400146484375 23.920000076293945 0.40700000524520874 4.328000068664551 0.4699999988079071 0.0 0.5839999914169312 0.029999999329447746
18.100000381469727 18.0 22.156299591064453 22.152700424194336 4.969900131225586 34.66619873046875 23.92289924621582 0.7210000157356262 4.324999809265137 0.4699999988079071 0.0 0.5360000133514404 0.029999999329447746
18.600000381469727 18.5 22.154699325561523 22.150999069213867 4.96999979019165 34.667598724365234 23.924400329589844 0.7839999794960022 4.328000068664551 0.4699999988079071 0.0 0.49799999594688416 0.03099999949336052
19.100000381469727 19.0 22.15239906311035 22.14859962463379 4.96999979019165 34.6693000793457 23.92639923095703 0.6759999990463257 4.329999923706055 0.4699999988079071 0.0 0.48399999737739563 0.03200000151991844
19.600000381469727 19.5 22.1481990814209 22.144399642944336 4.96999979019165 34.672401428222656 23.93000030517578 0.3930000066757202 4.328000068664551 0.4699999988079071 0.0 0.46000000834465027 0.03500000014901161
20.100000381469727 20.0 22.14240074157715 22.138399124145508 4.969799995422363 34.67580032348633 23.934200286865234 0.4959999918937683 4.323999881744385 0.4699999988079071 0.0 0.4399999976158142 0.032999999821186066
20.600000381469727 20.5 22.13559913635254 22.131500244140625 4.969699859619141 34.6796989440918 23.93910026550293 0.4779999852180481 4.316999912261963 0.4699999988079071 0.0 0.5109999775886536 0.032999999821186066
21.100000381469727 21.0 22.11840057373047 22.114200592041016 4.968699932098389 34.685699462890625 23.94849967956543 0.45500001311302185 4.311999797821045 0.4699999988079071 0.0 0.47999998927116394 0.03400000184774399
21.600000381469727 21.5 22.086700439453125 22.082399368286133 4.9664998054504395 34.69380187988281 23.963600158691406 0.36899998784065247 4.293000221252441 0.4699999988079071 0.0 0.4620000123977661 0.03500000014901161
22.100000381469727 22.0 22.03689956665039 22.032499313354492 4.962500095367432 34.702301025390625 23.983999252319336 0.3019999861717224 4.271999835968018 0.4699999988079071 0.0 0.4339999854564667 0.03700000047683716
22.700000762939453 22.5 22.0093994140625 22.004899978637695 4.960000038146973 34.7041015625 23.993099212646484 0.31200000643730164 4.255000114440918 0.4699999988079071 0.0 0.460999995470047 0.04100000113248825
23.200000762939453 23.0 21.846200942993164 21.84160041809082 4.944300174713135 34.71139907836914 24.044200897216797 0.49000000953674316 4.204999923706055 0.4699999988079071 0.0 0.4449999928474426 0.0430000014603138
23.700000762939453 23.5 21.540300369262695 21.53569984436035 4.921899795532227 34.78110122680664 24.18199920654297 0.7889999747276306 4.0 0.4699999988079071 0.0 0.44999998807907104 0.04899999871850014
24.200000762939453 24.0 21.437400817871094 21.43269920349121 4.921000003814697 34.85689926147461 24.26799964904785 0.6489999890327454 3.9189999103546143 0.4699999988079071 0.0 0.44999998807907104 0.09600000083446503
24.700000762939453 24.5 21.294099807739258 21.2893009185791 4.915599822998047 34.93069839477539 24.363500595092773 0.41999998688697815 3.9010000228881836 0.4699999988079071 0.0 0.44699999690055847 0.11400000005960464
25.200000762939453 25.0 21.0669002532959 21.06209945678711 4.908299922943115 35.05759811401367 24.522199630737305 0.45399999618530273 3.9119999408721924 0.4699999988079071 0.0 0.45899999141693115 0.12300000339746475
25.700000762939453 25.5 20.808799743652344 20.80389976501465 4.904300212860107 35.23789978027344 24.72960090637207 0.6499999761581421 3.9140000343322754 0.4699999988079071 0.0 0.45899999141693115 0.12099999934434891
26.200000762939453 26.0 20.56399917602539 20.559099197387695 4.9004998207092285 35.4109992980957 24.927499771118164 0.48399999737739563 3.885999917984009 0.4699999988079071 0.0 0.4699999988079071 0.125
26.700000762939453 26.5 20.368799209594727 20.363800048828125 4.898200035095215 35.55580139160156 25.090299606323242 0.3779999911785126 3.884000062942505 0.4699999988079071 0.0 0.5460000038146973 0.125
27.200000762939453 27.0 20.324600219726562 20.319499969482422 4.8979997634887695 35.591400146484375 25.12929916381836 0.36800000071525574 3.8929998874664307 0.4699999988079071 0.0 0.5659999847412109 0.13300000131130219
27.700000762939453 27.5 20.281600952148438 20.276399612426758 4.8983001708984375 35.62990188598633 25.17020034790039 0.33500000834465027 3.9019999504089355 0.4699999988079071 0.0 0.5450000166893005 0.13300000131130219
28.200000762939453 28.0 20.243999481201172 20.23870086669922 4.898499965667725 35.662601470947266 25.20509910583496 0.39800000190734863 3.9130001068115234 0.4699999988079071 0.0 0.5490000247955322 0.13199999928474426
28.700000762939453 28.5 20.2273006439209 20.221900939941406 4.898399829864502 35.675899505615234 25.21980094909668 0.5460000038146973 3.875 0.4699999988079071 0.0 0.5479999780654907 0.13199999928474426

In total, there are 54 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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