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Dataset Title:  "LATEX CTD - d94i078.nc - 28.86N, 94.0W - 1994-08-01" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i078)
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: 44)
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   44 options
    depth ?  =  m   44 options
    temperature ?  =  degree_C   44 options
    potentialTemperature ?  =  degree_C   43 options
    conductivity ?  =  Siemens per meter   42 options
    salinity ?  =  PSU   44 options
    sigmat ?  =  kg m-3   43 options
    descentRate ?  =  meters per second   42 options
    transmission ?  =  percent   31 options
    par ?  =  umol m-2 s-1   44 options
    parv ?  =  volts   44 options
    fluorescence ?  =  volts   40 options
    backscattering ?  =  volts   17 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
1.0 1.0 28.318099975585938 28.317899703979492 5.537300109863281 34.17470169067383 21.672399520874023 0.0 3.563999891281128 1120.0 3.187999963760376 1.13100004196167 0.19900000095367432
1.5 1.5 28.317899703979492 28.31760025024414 5.541800022125244 34.20589828491211 21.695999145507812 0.0 3.7139999866485596 281.0 2.5869998931884766 1.1080000400543213 0.19900000095367432
2.0 2.0 28.311899185180664 28.311399459838867 5.541600227355957 34.20920181274414 21.70050048828125 -2.2070000171661377 3.9790000915527344 197.0 2.434000015258789 1.128000020980835 0.19900000095367432
2.5 2.5 28.31089973449707 28.310300827026367 5.541399955749512 34.208499908447266 21.700300216674805 0.16200000047683716 4.256999969482422 179.0 2.3919999599456787 1.1239999532699585 0.01600000075995922
3.0 3.0 28.313499450683594 28.312700271606445 5.543000221252441 34.217098236083984 21.70599937438965 0.10100000351667404 4.328999996185303 143.0 2.2939999103546143 1.1419999599456787 0.028999999165534973
3.5 3.5 28.31220054626465 28.311399459838867 5.5432000160217285 34.21950149536133 21.708200454711914 0.10100000351667404 4.377999782562256 136.0 2.2730000019073486 1.1339999437332153 0.027000000700354576
4.0 4.0 28.308500289916992 28.3075008392334 5.541800022125244 34.21220016479492 21.70400047302246 -2.0989999771118164 4.394000053405762 130.0 2.253999948501587 1.1169999837875366 0.03500000014901161
4.5 4.5 28.31410026550293 28.312999725341797 5.543600082397461 34.22019958496094 21.708200454711914 -0.02800000086426735 4.395999908447266 126.0 2.239000082015991 1.1039999723434448 0.02500000037252903
5.0 5.0 28.316600799560547 28.315399169921875 5.544099807739258 34.2223014831543 21.708999633789062 -0.07100000232458115 4.39900016784668 120.0 2.2200000286102295 1.1109999418258667 0.024000000208616257
5.5 5.5 28.315200805664062 28.313899993896484 5.544000148773193 34.222198486328125 21.709400177001953 -0.014999999664723873 4.3979997634887695 108.0 2.1730000972747803 1.0950000286102295 0.024000000208616257
6.0 6.0 28.319499969482422 28.318099975585938 5.545199871063232 34.22700119018555 21.711700439453125 -0.006000000052154064 4.401000022888184 104.0 2.1570000648498535 1.0870000123977661 0.024000000208616257
6.5 6.5 28.332599639892578 28.331100463867188 5.549799919128418 34.2495002746582 21.724300384521484 -0.06499999761581421 4.401000022888184 98.5999984741211 2.132999897003174 1.1039999723434448 0.03200000151991844
7.0 7.0 28.337299346923828 28.3356990814209 5.551199913024902 34.256099700927734 21.727699279785156 -0.7979999780654907 4.400000095367432 92.5 2.1050000190734863 1.1030000448226929 0.02500000037252903
7.599999904632568 7.5 28.346500396728516 28.34469985961914 5.5543999671936035 34.270999908447266 21.736000061035156 0.765999972820282 4.39900016784668 85.5 2.071000099182129 1.1009999513626099 0.024000000208616257
8.100000381469727 8.0 28.350000381469727 28.348100662231445 5.555500030517578 34.27619934082031 21.738800048828125 0.45500001311302185 4.400000095367432 80.0 2.0420000553131104 1.1019999980926514 0.02500000037252903
8.600000381469727 8.5 28.35610008239746 28.35409927368164 5.5578999519348145 34.28850173950195 21.746000289916992 -0.20000000298023224 4.4019999504089355 76.4000015258789 2.0220000743865967 1.1160000562667847 0.024000000208616257
9.100000381469727 9.0 28.375699996948242 28.37350082397461 5.5680999755859375 34.345001220703125 21.782100677490234 0.08299999684095383 4.401000022888184 73.30000305175781 2.003999948501587 1.1299999952316284 0.02500000037252903
9.600000381469727 9.5 28.40329933166504 28.400999069213867 5.583399772644043 34.43080139160156 21.837499618530273 -0.0020000000949949026 4.400000095367432 70.30000305175781 1.9859999418258667 1.1390000581741333 0.024000000208616257
10.100000381469727 10.0 28.42650032043457 28.424100875854492 5.598299980163574 34.5177001953125 21.895200729370117 0.2750000059604645 4.3979997634887695 65.9000015258789 1.9579999446868896 1.1339999437332153 0.02500000037252903
10.600000381469727 10.5 28.45599937438965 28.453500747680664 5.612100124359131 34.59159851074219 21.941099166870117 0.2630000114440918 4.394999980926514 62.5 1.934999942779541 1.1339999437332153 0.02500000037252903
11.100000381469727 11.0 28.481000900268555 28.478300094604492 5.621200084686279 34.63610076904297 21.96619987487793 -0.890999972820282 4.3979997634887695 60.099998474121094 1.9179999828338623 1.1330000162124634 0.024000000208616257
11.600000381469727 11.5 28.509199142456055 28.506399154663086 5.629499912261963 34.67340087890625 21.985000610351562 -1.5950000286102295 4.39900016784668 57.900001525878906 1.9019999504089355 1.125 0.024000000208616257
12.100000381469727 12.0 28.517000198364258 28.51409912109375 5.631800174713135 34.68320083618164 21.98979949951172 -0.08900000154972076 4.401000022888184 55.79999923706055 1.8860000371932983 1.1239999532699585 0.026000000536441803
12.600000381469727 12.5 28.51810073852539 28.515100479125977 5.632999897003174 34.69029998779297 21.99489974975586 0.25 4.400000095367432 53.20000076293945 1.8650000095367432 1.1480000019073486 0.02500000037252903
13.100000381469727 13.0 28.524700164794922 28.5216007232666 5.636499881744385 34.709598541259766 22.007200241088867 0.20000000298023224 4.396999835968018 50.70000076293945 1.843999981880188 1.152999997138977 0.02500000037252903
13.600000381469727 13.5 28.530099868774414 28.52680015563965 5.640100002288818 34.73099899291992 22.021499633789062 0.0010000000474974513 4.3979997634887695 48.5 1.8250000476837158 1.1540000438690186 0.02500000037252903
14.100000381469727 14.0 28.538299560546875 28.53499984741211 5.646299839019775 34.767799377441406 22.046499252319336 0.25200000405311584 4.392000198364258 46.400001525878906 1.805999994277954 1.159999966621399 0.02500000037252903
14.600000381469727 14.5 28.558500289916992 28.55500030517578 5.655399799346924 34.81610107421875 22.076200485229492 -0.6209999918937683 4.392000198364258 44.900001525878906 1.7910000085830688 1.1619999408721924 0.027000000700354576
15.100000381469727 15.0 28.572900772094727 28.569299697875977 5.661900043487549 34.84989929199219 22.096900939941406 0.3199999928474426 4.38700008392334 43.0 1.7730000019073486 1.1890000104904175 0.027000000700354576
15.600000381469727 15.5 28.58489990234375 28.581199645996094 5.666600227355957 34.874000549316406 22.111000061035156 -0.2160000056028366 4.382999897003174 41.099998474121094 1.753000020980835 1.184999942779541 0.026000000536441803
16.100000381469727 16.0 28.598800659179688 28.594999313354492 5.671299934387207 34.896400451660156 22.123300552368164 -0.28600001335144043 4.38100004196167 40.0 1.7410000562667847 1.2020000219345093 0.027000000700354576
16.600000381469727 16.5 28.631500244140625 28.627599716186523 5.68209981918335 34.94710159301758 22.15060043334961 -0.1809999942779541 4.380000114440918 39.0 1.7300000190734863 1.2200000286102295 0.03099999949336052
17.100000381469727 17.0 28.671899795532227 28.667800903320312 5.692599773406982 34.989898681640625 22.16939926147461 0.2879999876022339 4.375999927520752 36.900001525878906 1.7059999704360962 1.4539999961853027 0.028999999165534973
17.600000381469727 17.5 28.697900772094727 28.693700790405273 5.700099945068359 35.022300720214844 22.185100555419922 0.42399999499320984 4.374000072479248 35.099998474121094 1.684000015258789 1.4880000352859497 0.02800000086426735
18.100000381469727 18.0 28.71269989013672 28.70840072631836 5.704999923706055 35.045501708984375 22.19770050048828 -0.46299999952316284 4.372000217437744 33.79999923706055 1.6679999828338623 1.3819999694824219 0.02800000086426735
18.600000381469727 18.5 28.68400001525879 28.67959976196289 5.705399990081787 35.06909942626953 22.225000381469727 0.10199999809265137 4.368000030517578 31.700000762939453 1.6399999856948853 1.309000015258789 0.028999999165534973
19.100000381469727 19.0 28.64940071105957 28.644800186157227 5.704599857330322 35.08890151977539 22.251399993896484 2.062000036239624 4.348999977111816 30.5 1.6230000257492065 1.3370000123977661 0.03099999949336052
19.600000381469727 19.5 28.45680046081543 28.45210075378418 5.692599773406982 35.148101806640625 22.359600067138672 0.008999999612569809 4.256999969482422 29.200000762939453 1.6050000190734863 1.434000015258789 0.03500000014901161
20.100000381469727 20.0 28.20050048828125 28.19569969177246 5.670199871063232 35.18170166015625 22.46940040588379 -2.5269999504089355 4.104000091552734 27.899999618530273 1.5839999914169312 1.4780000448226929 0.0560000017285347
20.600000381469727 20.5 28.08810043334961 28.083200454711914 5.660699844360352 35.19900131225586 22.51930046081543 -1.2079999446868896 3.940000057220459 26.799999237060547 1.5679999589920044 1.531000018119812 0.09300000220537186
21.100000381469727 21.0 27.84749984741211 27.842599868774414 5.639599800109863 35.23030090332031 22.621400833129883 -0.37599998712539673 3.7790000438690186 25.799999237060547 1.5509999990463257 1.6069999933242798 0.12600000202655792
21.600000381469727 21.5 27.643299102783203 27.638200759887695 5.61959981918335 35.243099212646484 22.697500228881836 -0.06800000369548798 3.696000099182129 24.5 1.527999997138977 1.6990000009536743 0.14900000393390656
22.100000381469727 22.0 27.579700469970703 27.574600219726562 5.61359977722168 35.248199462890625 22.721900939941406 4.882999897003174 3.7009999752044678 22.299999237060547 1.4869999885559082 1.8329999446868896 0.15700000524520874
22.700000762939453 22.5 27.4822998046875 27.477100372314453 5.603000164031982 35.24639892578125 22.752199172973633 0.18000000715255737 3.7060000896453857 19.5 1.4279999732971191 1.8700000047683716 0.16200000047683716

In total, there are 44 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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