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Dataset Title:  "LATEX CTD - d94h079.nc - 28.77N, 94.0W - 1994-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h079)
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: 43)
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   43 options
    depth ?  =  m   43 options
    temperature ?  =  degree_C   43 options
    potentialTemperature ?  =  degree_C   43 options
    conductivity ?  =  Siemens per meter   42 options
    salinity ?  =  PSU   43 options
    sigmat ?  =  kg m-3   43 options
    descentRate ?  =  meters per second   38 options
    transmission ?  =  percent   41 options
    par ?  =  umol m-2 s-1   43 options
    parv ?  =  volts   43 options
    fluorescence ?  =  volts   42 options
    backscattering ?  =  volts   38 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 23.594100952148438 23.593599319458008 4.467400074005127 29.780000686645508 19.813400268554688 -0.06400000303983688 4.113999843597412 85.0 2.260999917984009 0.8450000286102295 0.06499999761581421
3.0 3.0 23.615800857543945 23.61520004272461 4.4644999504089355 29.743600845336914 19.779600143432617 0.3240000009536743 4.118000030517578 68.9000015258789 2.1700000762939453 0.828000009059906 0.06700000166893005
3.5 3.5 23.593799591064453 23.59309959411621 4.466700077056885 29.774700164794922 19.809499740600586 0.38600000739097595 4.118000030517578 64.19999694824219 2.1389999389648438 0.8080000281333923 0.0689999982714653
4.0 4.0 23.22319984436035 23.222400665283203 4.514900207519531 30.386199951171875 20.377099990844727 0.6449999809265137 4.005000114440918 54.900001525878906 2.071000099182129 0.8220000267028809 0.0729999989271164
4.5 4.5 23.093000411987305 23.092100143432617 4.552800178527832 30.761899948120117 20.698200225830078 0.6890000104904175 4.031000137329102 47.099998474121094 2.005000114440918 0.878000020980835 0.07699999958276749
5.0 5.0 23.092100143432617 23.091100692749023 4.565199851989746 30.85610008239746 20.769800186157227 0.4790000021457672 4.065999984741211 41.20000076293945 1.9459999799728394 0.9300000071525574 0.07800000160932541
5.5 5.5 22.89590072631836 22.894800186157227 4.572800159454346 31.051700592041016 20.97319984436035 0.6110000014305115 4.0970001220703125 36.400001525878906 1.8930000066757202 0.9589999914169312 0.07100000232458115
6.0 6.0 22.699800491333008 22.69860076904297 4.58050012588501 31.248899459838867 21.177600860595703 0.4959999918937683 4.14900016784668 32.5 1.843999981880188 0.9599999785423279 0.06599999964237213
6.5 6.5 22.503599166870117 22.502300262451172 4.588099956512451 31.447599411010742 21.383100509643555 0.45899999141693115 4.111999988555908 26.600000381469727 1.7569999694824219 0.953000009059906 0.06400000303983688
7.0 7.0 22.30739974975586 22.305999755859375 4.595699787139893 31.647899627685547 21.589500427246094 0.625 4.043000221252441 23.200000762939453 1.6970000267028809 0.9259999990463257 0.07900000363588333
7.599999904632568 7.5 22.1112003326416 22.109800338745117 4.603400230407715 31.849899291992188 21.796899795532227 0.45899999141693115 3.986999988555908 20.899999618530273 1.6519999504089355 0.8740000128746033 0.09200000017881393
8.100000381469727 8.0 21.91510009765625 21.91349983215332 4.611000061035156 32.05350112915039 22.005399703979492 0.38499999046325684 3.98799991607666 18.799999237060547 1.6050000190734863 0.7179999947547913 0.10000000149011612
8.600000381469727 8.5 21.718900680541992 21.717199325561523 4.618599891662598 32.25870132446289 22.215099334716797 0.46799999475479126 3.9739999771118164 15.600000381469727 1.5260000228881836 0.7059999704360962 0.0989999994635582
9.100000381469727 9.0 21.48699951171875 21.485300064086914 4.611800193786621 32.37879943847656 22.369600296020508 0.2770000100135803 3.8929998874664307 12.899999618530273 1.4420000314712524 0.6869999766349792 0.11500000208616257
9.600000381469727 9.5 21.296300888061523 21.29450035095215 4.638000011444092 32.72919845581055 22.6875 0.328000009059906 3.9790000915527344 12.800000190734863 1.440000057220459 0.6930000185966492 0.12700000405311584
10.100000381469727 10.0 21.03230094909668 21.030399322509766 4.653600215911865 33.05609893798828 23.007400512695312 0.30000001192092896 4.0879998207092285 11.100000381469727 1.3769999742507935 0.7009999752044678 0.12800000607967377
10.600000381469727 10.5 21.149999618530273 21.148000717163086 4.712800025939941 33.43519973754883 23.263999938964844 0.35600000619888306 4.185999870300293 9.670000076293945 1.3170000314712524 0.765999972820282 0.07999999821186066
11.100000381469727 11.0 21.232200622558594 21.230100631713867 4.774799823760986 33.86330032348633 23.56719970703125 0.45899999141693115 4.256999969482422 8.539999961853027 1.2630000114440918 0.8769999742507935 0.057999998331069946
11.600000381469727 11.5 21.318300247192383 21.316099166870117 4.803699970245361 34.024200439453125 23.666099548339844 0.3179999887943268 4.311999797821045 7.440000057220459 1.2029999494552612 0.9559999704360962 0.04500000178813934
12.100000381469727 12.0 21.340099334716797 21.337799072265625 4.822999954223633 34.160099029541016 23.763500213623047 0.4620000123977661 4.322999954223633 6.829999923706055 1.1660000085830688 0.9829999804496765 0.03500000014901161
12.600000381469727 12.5 21.282100677490234 21.279699325561523 4.830100059509277 34.263099670410156 23.857799530029297 0.6320000290870667 4.333000183105469 6.230000019073486 1.1260000467300415 0.9760000109672546 0.032999999821186066
13.100000381469727 13.0 21.266599655151367 21.26409912109375 4.832399845123291 34.292999267578125 23.884599685668945 0.5109999775886536 4.335000038146973 5.409999847412109 1.065000057220459 0.9470000267028809 0.03200000151991844
13.600000381469727 13.5 21.177799224853516 21.175199508666992 4.820400238037109 34.268798828125 23.890399932861328 0.38499999046325684 4.318999767303467 4.71999979019165 1.00600004196167 0.9160000085830688 0.03500000014901161
14.100000381469727 14.0 20.894100189208984 20.891399383544922 4.782800197601318 34.19499969482422 23.911100387573242 0.578000009059906 4.294000148773193 4.369999885559082 0.972000002861023 0.9290000200271606 0.03700000047683716
14.600000381469727 14.5 20.6648006439209 20.662099838256836 4.758299827575684 34.18220138549805 23.96310043334961 0.49399998784065247 4.228000164031982 4.050000190734863 0.9390000104904175 0.9340000152587891 0.04399999976158142
15.100000381469727 15.0 20.718599319458008 20.71579933166504 4.770699977874756 34.23849868774414 23.991500854492188 0.3230000138282776 4.156000137329102 3.7699999809265137 0.9079999923706055 0.8809999823570251 0.04899999871850014
15.600000381469727 15.5 20.578899383544922 20.576000213623047 4.7617998123168945 34.279598236083984 24.060300827026367 0.4410000145435333 4.068999767303467 3.4100000858306885 0.8650000095367432 0.8510000109672546 0.06599999964237213
16.100000381469727 16.0 20.479799270629883 20.4768009185791 4.7596001625061035 34.342098236083984 24.134300231933594 0.375 3.994999885559082 3.0299999713897705 0.8130000233650208 0.847000002861023 0.08399999886751175
16.600000381469727 16.5 20.465499877929688 20.462400436401367 4.804699897766113 34.71879959106445 24.425199508666992 0.503000020980835 3.9119999408721924 3.259999990463257 0.8450000286102295 0.7739999890327454 0.08900000154972076
17.100000381469727 17.0 20.684900283813477 20.681699752807617 4.8632001876831055 35.011600494384766 24.589500427246094 0.8029999732971191 3.7049999237060547 3.0399999618530273 0.8140000104904175 0.7889999747276306 0.13099999725818634
17.600000381469727 17.5 20.748199462890625 20.74489974975586 4.874100208282471 35.04750061035156 24.599700927734375 0.8500000238418579 3.6700000762939453 2.740000009536743 0.7689999938011169 0.7900000214576721 0.1589999943971634
18.100000381469727 18.0 20.742700576782227 20.739299774169922 4.875100135803223 35.05970001220703 24.61050033569336 0.6549999713897705 3.6619999408721924 2.4200000762939453 0.7149999737739563 0.781000018119812 0.1720000058412552
18.600000381469727 18.5 20.7367000579834 20.733200073242188 4.875100135803223 35.064701080322266 24.615800857543945 0.6700000166893005 3.6610000133514404 2.2899999618530273 0.6909999847412109 0.7710000276565552 0.16300000250339508
19.100000381469727 19.0 20.74920082092285 20.7455997467041 4.883399963378906 35.12120056152344 24.655500411987305 0.9559999704360962 3.6630001068115234 2.140000104904175 0.6620000004768372 0.7609999775886536 0.1720000058412552
19.600000381469727 19.5 20.765600204467773 20.761899948120117 4.888599872589111 35.14950180053711 24.67289924621582 0.8949999809265137 3.6640000343322754 1.9199999570846558 0.6150000095367432 0.7419999837875366 0.17800000309944153
20.100000381469727 20.0 20.818500518798828 20.814699172973633 4.89739990234375 35.17620086669922 24.678600311279297 0.6140000224113464 3.7290000915527344 1.7100000381469727 0.5640000104904175 0.722000002861023 0.17800000309944153
20.600000381469727 20.5 20.866300582885742 20.86240005493164 4.906300067901611 35.208499908447266 24.690399169921875 0.3310000002384186 3.759000062942505 1.5399999618530273 0.5189999938011169 0.6669999957084656 0.16699999570846558
21.100000381469727 21.0 20.90180015563965 20.89780044555664 4.918300151824951 35.27510070800781 24.731399536132812 0.47600001096725464 3.75600004196167 1.4700000286102295 0.49900001287460327 0.652999997138977 0.17299999296665192
21.600000381469727 21.5 20.983699798583984 20.97960090637207 4.938499927520752 35.36989974975586 24.781299591064453 0.3230000138282776 3.759000062942505 1.3200000524520874 0.45100000500679016 0.7009999752044678 0.16599999368190765
22.100000381469727 22.0 21.04360008239746 21.039400100708008 4.952600002288818 35.43330001831055 24.813199996948242 0.4050000011920929 3.7750000953674316 1.2200000286102295 0.4189999997615814 0.6779999732971191 0.16300000250339508
22.700000762939453 22.5 21.096200942993164 21.091899871826172 4.963600158691406 35.477901458740234 24.83300018310547 0.33899998664855957 3.7809998989105225 1.1100000143051147 0.3779999911785126 0.7549999952316284 0.16099999845027924
23.200000762939453 23.0 21.113399505615234 21.10890007019043 4.967800140380859 35.49760055541992 24.84309959411621 0.3179999887943268 3.7920000553131104 0.9800000190734863 0.3240000009536743 0.7509999871253967 0.15800000727176666
23.700000762939453 23.5 21.117900848388672 21.113399505615234 4.969900131225586 35.510398864746094 24.851699829101562 0.32899999618530273 3.7799999713897705 0.8999999761581421 0.28700000047683716 0.6499999761581421 0.15600000321865082

In total, there are 43 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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