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Dataset Title:  "LATEX CTD - d94h036.nc - 28.94N, 92.0W - 1994-04-28" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h036)
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: 34)
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   34 options
    depth ?  =  m   34 options
    temperature ?  =  degree_C   33 options
    potentialTemperature ?  =  degree_C   34 options
    conductivity ?  =  Siemens per meter   34 options
    salinity ?  =  PSU   34 options
    sigmat ?  =  kg m-3   32 options
    descentRate ?  =  meters per second   34 options
    transmission ?  =  percent   31 options
    par ?  =  umol m-2 s-1   7 options
    parv ?  =  volts   8 options
    fluorescence ?  =  volts   26 options
    backscattering ?  =  volts   26 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 23.679800033569336 23.67919921875 5.095699787139893 34.44150161743164 23.314599990844727 0.38999998569488525 4.111999988555908 1.0399999618530273 0.3499999940395355 0.42899999022483826 0.054999999701976776
3.0 3.0 23.689300537109375 23.688600540161133 5.097400188446045 34.44660186767578 23.31570053100586 0.7749999761581421 4.150000095367432 1.0399999618530273 0.34700000286102295 0.40799999237060547 0.057999998331069946
3.5 3.5 23.687999725341797 23.687299728393555 5.0971999168396 34.44609832763672 23.315799713134766 0.6330000162124634 4.146999835968018 0.8700000047683716 0.2709999978542328 0.4020000100135803 0.05700000002980232
4.0 4.0 23.68600082397461 23.685199737548828 5.0970001220703125 34.445499420166016 23.315900802612305 0.49799999594688416 4.139999866485596 0.6700000166893005 0.1599999964237213 0.40799999237060547 0.057999998331069946
4.5 4.5 23.69260025024414 23.691600799560547 5.097599983215332 34.44499969482422 23.31369972229004 0.5789999961853027 4.144000053405762 0.5199999809265137 0.05000000074505806 0.40400001406669617 0.054999999701976776
5.0 5.0 23.694499969482422 23.69339942932129 5.097799777984619 34.44459915161133 23.31279945373535 0.41999998688697815 4.139999866485596 0.5400000214576721 0.06300000101327896 0.40400001406669617 0.054999999701976776
5.5 5.5 23.689300537109375 23.688199996948242 5.097099781036377 34.44380187988281 23.31369972229004 0.3070000112056732 4.144999980926514 0.47999998927116394 0.014000000432133675 0.49000000953674316 0.06400000303983688
6.0 6.0 23.67340087890625 23.672100067138672 5.095200061798096 34.44139862060547 23.316699981689453 0.2980000078678131 4.138000011444092 0.4699999988079071 0.0 0.43700000643730164 0.057999998331069946
6.5 6.5 23.66320037841797 23.66189956665039 5.093900203704834 34.439300537109375 23.31800079345703 0.4050000011920929 4.138999938964844 0.4699999988079071 0.0 0.4359999895095825 0.061000000685453415
7.0 7.0 23.613800048828125 23.612300872802734 5.0879998207092285 34.43280029296875 23.327600479125977 0.3479999899864197 4.1479997634887695 0.4699999988079071 0.0 0.4350000023841858 0.0729999989271164
7.599999904632568 7.5 23.60379981994629 23.60219955444336 5.087100028991699 34.43330001831055 23.330900192260742 0.3720000088214874 4.13100004196167 0.4699999988079071 0.0 0.4180000126361847 0.06199999898672104
8.100000381469727 8.0 23.57859992980957 23.576900482177734 5.083899974822998 34.428001403808594 23.334299087524414 0.5220000147819519 4.138999938964844 0.4699999988079071 0.0 0.4309999942779541 0.08699999749660492
8.600000381469727 8.5 23.579999923706055 23.57830047607422 5.084199905395508 34.429500579833984 23.334999084472656 0.39399999380111694 4.125 0.4699999988079071 0.0 0.4359999895095825 0.05999999865889549
9.100000381469727 9.0 23.42099952697754 23.419099807739258 5.067699909210205 34.42689895629883 23.379499435424805 0.41600000858306885 4.110000133514404 0.4699999988079071 0.0 0.4620000123977661 0.07000000029802322
9.600000381469727 9.5 23.35849952697754 23.35650062561035 5.060699939727783 34.422000885009766 23.393999099731445 0.5809999704360962 4.081999778747559 0.4699999988079071 0.0 0.49000000953674316 0.07000000029802322
10.100000381469727 10.0 23.209699630737305 23.207599639892578 5.047100067138672 34.434600830078125 23.44659996032715 0.5070000290870667 4.098999977111816 0.4699999988079071 0.0 0.4970000088214874 0.07599999755620956
10.600000381469727 10.5 23.223100662231445 23.22089958190918 5.050300121307373 34.44839859008789 23.45319938659668 0.3059999942779541 4.1020002365112305 0.4699999988079071 0.0 0.49900001287460327 0.07599999755620956
11.100000381469727 11.0 23.067899703979492 23.06570053100586 5.049900054931641 34.56679916381836 23.587799072265625 0.3889999985694885 4.085000038146973 0.4699999988079071 0.0 0.5109999775886536 0.08299999684095383
11.600000381469727 11.5 23.099599838256836 23.097299575805664 5.062699794769287 34.63999938964844 23.63409996032715 0.5659999847412109 4.065999984741211 0.4699999988079071 0.0 0.527999997138977 0.0860000029206276
12.100000381469727 12.0 23.181100845336914 23.178600311279297 5.0854997634887695 34.75090026855469 23.694700241088867 0.46299999952316284 4.076000213623047 0.4699999988079071 0.0 0.5350000262260437 0.0820000022649765
12.600000381469727 12.5 23.13290023803711 23.130300521850586 5.080999851226807 34.75419998168945 23.711200714111328 0.3240000009536743 4.0980000495910645 0.4699999988079071 0.0 0.5410000085830688 0.07800000160932541
13.100000381469727 13.0 23.017499923706055 23.01490020751953 5.064799785614014 34.720401763916016 23.718799591064453 0.4390000104904175 4.114999771118164 0.4699999988079071 0.0 0.546999990940094 0.0820000022649765
13.600000381469727 13.5 22.70789909362793 22.70509910583496 5.024400234222412 34.65330123901367 23.75659942626953 0.48500001430511475 4.099999904632568 0.4699999988079071 0.0 0.5580000281333923 0.08500000089406967
14.100000381469727 14.0 22.470699310302734 22.467899322509766 4.995699882507324 34.61840057373047 23.797800064086914 0.3310000002384186 4.1020002365112305 0.4699999988079071 0.0 0.5709999799728394 0.11800000071525574
14.600000381469727 14.5 22.38559913635254 22.382699966430664 4.987500190734863 34.62160110473633 23.824199676513672 0.3799999952316284 4.013000011444092 0.4699999988079071 0.0 0.5669999718666077 0.12600000202655792
15.100000381469727 15.0 22.3356990814209 22.332700729370117 4.996600151062012 34.73210144042969 23.922300338745117 0.414000004529953 4.007999897003174 0.4699999988079071 0.0 0.5580000281333923 0.15299999713897705
15.600000381469727 15.5 22.377500534057617 22.374399185180664 5.008200168609619 34.78950119018555 23.954099655151367 0.3630000054836273 3.9570000171661377 0.4699999988079071 0.0 0.5709999799728394 0.17499999701976776
16.100000381469727 16.0 22.406700134277344 22.403499603271484 5.0152997970581055 34.8213996887207 23.97010040283203 0.3610000014305115 3.9170000553131104 0.4699999988079071 0.0 0.5730000138282776 0.17299999296665192
16.600000381469727 16.5 22.435400009155273 22.432100296020508 5.027500152587891 34.8932991027832 24.01650047302246 0.30799999833106995 3.875 0.4699999988079071 0.0 0.5889999866485596 0.15299999713897705
17.100000381469727 17.0 22.37070083618164 22.367300033569336 5.023499965667725 34.91400146484375 24.050600051879883 0.2680000066757202 3.86299991607666 0.4699999988079071 0.0 0.5730000138282776 0.14800000190734863
17.600000381469727 17.5 22.23979949951172 22.236299514770508 5.00629997253418 34.8843994140625 24.065099716186523 0.39800000190734863 3.8389999866485596 0.4699999988079071 0.0 0.546999990940094 0.2280000001192093
18.100000381469727 18.0 22.168399810791016 22.1648006439209 4.997200012207031 34.86980056762695 24.074199676513672 0.574999988079071 3.753000020980835 0.4699999988079071 0.0 0.574999988079071 0.42500001192092896
18.600000381469727 18.5 22.16699981689453 22.163299560546875 4.997000217437744 34.869300842285156 24.074199676513672 0.5879999995231628 3.5439999103546143 0.4699999988079071 0.0 0.6449999809265137 0.44200000166893005
19.100000381469727 19.0 22.16360092163086 22.159799575805664 4.996799945831299 34.870201110839844 24.0757999420166 0.28200000524520874 3.072000026702881 0.4699999988079071 0.0 0.7229999899864197 0.5

In total, there are 34 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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