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Dataset Title:  "LATEX CTD - d94i067.nc - 29.27N, 93.0W - 1994-08-01" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i067)
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: 26)
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   26 options
    depth ?  =  m   26 options
    temperature ?  =  degree_C   26 options
    potentialTemperature ?  =  degree_C   26 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   26 options
    sigmat ?  =  kg m-3   25 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   14 options
    par ?  =  umol m-2 s-1   26 options
    parv ?  =  volts   26 options
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   7 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 28.89940071105957 28.89900016784668 5.344200134277344 32.43870162963867 20.1781005859375 -0.054999999701976776 4.414000034332275 219.0 2.4790000915527344 1.465000033378601 0.026000000536441803
2.5 2.5 28.898799896240234 28.898300170898438 5.344200134277344 32.43939971923828 20.178800582885742 0.16200000047683716 4.414999961853027 166.0 2.359999895095825 1.4630000591278076 0.02500000037252903
3.0 3.0 28.898300170898438 28.897499084472656 5.344299793243408 32.439998626708984 20.179500579833984 0.3779999911785126 4.415999889373779 126.0 2.240999937057495 1.4609999656677246 0.02500000037252903
3.5 3.5 28.901899337768555 28.900999069213867 5.344699859619141 32.440101623535156 20.178499221801758 0.04600000008940697 4.415999889373779 95.30000305175781 2.118000030517578 1.468000054359436 0.027000000700354576
4.0 4.0 28.905000686645508 28.90410041809082 5.345399856567383 32.44240188598633 20.17919921875 0.0560000017285347 4.415999889373779 90.0999984741211 2.0940001010894775 1.4550000429153442 0.02500000037252903
4.5 4.5 28.903600692749023 28.90250015258789 5.345099925994873 32.44160079956055 20.179100036621094 0.0560000017285347 4.415999889373779 83.19999694824219 2.059000015258789 1.4589999914169312 0.02500000037252903
5.0 5.0 28.901399612426758 28.90019989013672 5.344900131225586 32.44110107421875 20.179500579833984 -0.17599999904632568 4.415999889373779 75.30000305175781 2.0160000324249268 1.4700000286102295 0.024000000208616257
5.5 5.5 28.905799865722656 28.904499053955078 5.3454999923706055 32.44200134277344 20.178699493408203 0.04899999871850014 4.418000221252441 67.80000305175781 1.9700000286102295 1.4819999933242798 0.02500000037252903
6.0 6.0 28.912599563598633 28.91119956970215 5.346399784088135 32.44390106201172 20.17799949645996 0.17499999701976776 4.415999889373779 62.5 1.934999942779541 1.4809999465942383 0.027000000700354576
6.5 6.5 28.92300033569336 28.92140007019043 5.348499774932861 32.450599670410156 20.17959976196289 -0.41499999165534973 4.418000221252441 51.79999923706055 1.8530000448226929 1.49399995803833 0.039000000804662704
7.0 7.0 28.92840003967285 28.926700592041016 5.349599838256836 32.45429992675781 20.180599212646484 -0.17499999701976776 4.396999835968018 50.0 1.8380000591278076 1.4850000143051147 0.027000000700354576
7.599999904632568 7.5 28.941699981689453 28.939899444580078 5.352099895477295 32.46260070800781 20.1825008392334 1.5329999923706055 4.414999961853027 45.099998474121094 1.7929999828338623 1.4589999914169312 0.035999998450279236
8.100000381469727 8.0 28.947500228881836 28.945600509643555 5.353300094604492 32.46670150756836 20.1835994720459 0.03799999877810478 4.413000106811523 41.400001525878906 1.75600004196167 1.4579999446868896 0.02500000037252903
8.600000381469727 8.5 28.95009994506836 28.94809913635254 5.353799819946289 32.468101501464844 20.183900833129883 1.1720000505447388 4.4079999923706055 37.599998474121094 1.7139999866485596 1.4609999656677246 0.024000000208616257
9.100000381469727 9.0 28.951099395751953 28.94890022277832 5.353899955749512 32.467899322509766 20.183500289916992 -0.09300000220537186 4.414000034332275 33.900001525878906 1.6690000295639038 1.468000054359436 0.024000000208616257
9.600000381469727 9.5 28.963699340820312 28.96139907836914 5.356500148773193 32.476898193359375 20.186100006103516 -0.12700000405311584 4.414000034332275 32.29999923706055 1.6480000019073486 1.4730000495910645 0.02500000037252903
10.100000381469727 10.0 28.97170066833496 28.96929931640625 5.35830020904541 32.483699798583984 20.188600540161133 -0.04399999976158142 4.419000148773193 30.200000762939453 1.61899995803833 1.4709999561309814 0.027000000700354576
10.600000381469727 10.5 28.980100631713867 28.977500915527344 5.360099792480469 32.489898681640625 20.190500259399414 -0.19599999487400055 4.415999889373779 26.299999237060547 1.559000015258789 1.4709999561309814 0.02500000037252903
11.100000381469727 11.0 28.990100860595703 28.987499237060547 5.3632001876831055 32.50389862060547 20.19770050048828 0.15299999713897705 4.408999919891357 25.5 1.5460000038146973 1.496000051498413 0.02500000037252903
11.600000381469727 11.5 28.98740005493164 28.984600067138672 5.372499942779541 32.56919860839844 20.247600555419922 -0.08699999749660492 4.396999835968018 23.899999618530273 1.5180000066757202 1.4819999933242798 0.027000000700354576
12.100000381469727 12.0 28.878000259399414 28.875099182128906 5.386300086975098 32.73830032348633 20.410600662231445 0.2619999945163727 4.3979997634887695 21.700000762939453 1.475000023841858 1.5570000410079956 0.027000000700354576
12.699999809265137 12.5 28.768600463867188 28.765600204467773 5.400100231170654 32.90739822387695 20.57360076904297 0.6110000014305115 4.39900016784668 19.700000762939453 1.4329999685287476 1.6319999694824219 0.027000000700354576
13.100000381469727 13.0 28.70709991455078 28.703899383544922 5.396900177001953 32.928199768066406 20.609600067138672 0.2669999897480011 4.390999794006348 18.200000762939453 1.3980000019073486 1.7079999446868896 0.029999999329447746
13.600000381469727 13.5 28.476499557495117 28.47319984436035 5.412099838256836 33.19369888305664 20.884700775146484 0.05400000140070915 4.386000156402588 15.899999618530273 1.340999960899353 1.6970000267028809 0.027000000700354576
14.100000381469727 14.0 28.123199462890625 28.11989974975586 5.4421000480651855 33.64849853515625 21.341899871826172 0.2280000001192093 4.396999835968018 14.0 1.2860000133514404 1.6339999437332153 0.026000000536441803
14.600000381469727 14.5 27.991600036621094 27.98819923400879 5.440400123596191 33.7317008972168 21.447200775146484 -0.013000000268220901 4.410999774932861 12.699999809265137 1.24399995803833 1.5679999589920044 0.027000000700354576

In total, there are 26 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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