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Dataset Title:  "NEGOM CTD - n6l03s01.nc - 30.1N, 88.07W - 1999-00-19" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l03s01)
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: 32)
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   32 options
    depth ?  =  m   32 options
    temperature ?  =  degree_C   32 options
    potentialTemperature ?  =  degree_C   32 options
    conductivity ?  =  Siemens per meter   31 options
    salinity ?  =  PSU   32 options
    sigmat ?  =  kg m-3   32 options
    descentRate ?  =  meters per second   26 options
    transmission ?  =  percent   29 options
    par ?  =  umol m-2 s-1   32 options
    parv ?  =  volts   32 options
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   29 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 30.07740020751953 30.076799392700195 5.535699844360352 32.92770004272461 20.14739990234375 0.164000004529953 3.9790000915527344 483.0 2.9509999752044678 1.3849999904632568 0.47699999809265137
3.0 3.0 29.85070037841797 29.850000381469727 5.571000099182129 33.319000244140625 20.51740074157715 0.22599999606609344 4.010000228881836 276.6000061035156 2.743000030517578 1.4079999923706055 0.46299999952316284
3.5 3.5 29.59910011291504 29.59819984436035 5.601500034332275 33.69929885864258 20.887399673461914 0.2709999978542328 4.083000183105469 252.39999389648438 2.697999954223633 1.402999997138977 0.4779999852180481
4.0 4.0 29.52680015563965 29.525800704956055 5.609499931335449 33.80379867553711 20.99020004272461 0.2800000011920929 4.122000217437744 227.3000030517578 2.6519999504089355 1.4040000438690186 0.48500001430511475
4.5 4.5 29.33880043029785 29.33769989013672 5.632800102233887 34.09479904174805 21.271699905395508 0.28600001335144043 4.139999866485596 204.1999969482422 2.6080000400543213 1.406000018119812 0.4860000014305115
5.0 5.0 29.23110008239746 29.229900360107422 5.643099784851074 34.242000579833984 21.41830062866211 0.27799999713897705 4.163000106811523 163.5 2.51200008392334 1.402999997138977 0.4830000102519989
5.5 5.5 29.162599563598633 29.161300659179688 5.6493000984191895 34.33340072631836 21.50979995727539 0.30799999833106995 4.191999912261963 158.89999389648438 2.499000072479248 1.3769999742507935 0.5040000081062317
6.0 6.0 29.156200408935547 29.154699325561523 5.653200149536133 34.364601135253906 21.535400390625 0.25600001215934753 4.197000026702881 133.89999389648438 2.424999952316284 1.3220000267028809 0.48100000619888306
6.5 6.5 29.15250015258789 29.15089988708496 5.6579999923706055 34.400001525878906 21.56329917907715 0.2980000078678131 4.216000080108643 118.80000305175781 2.374000072479248 1.2760000228881836 0.44999998807907104
7.0 7.0 29.02440071105957 29.0226993560791 5.662399768829346 34.52190017700195 21.697599411010742 0.2980000078678131 4.209000110626221 110.0999984741211 2.3399999141693115 1.3029999732971191 0.4399999976158142
7.599999904632568 7.5 28.944400787353516 28.94260025024414 5.661799907684326 34.57600021362305 21.76490020751953 0.2590000033378601 4.2170000076293945 99.31999969482422 2.2960000038146973 1.409000039100647 0.4300000071525574
8.100000381469727 8.0 28.552200317382812 28.55030059814453 5.664899826049805 34.88349914550781 22.126100540161133 0.2980000078678131 4.2170000076293945 89.05999755859375 2.249000072479248 1.3869999647140503 0.4259999990463257
8.600000381469727 8.5 28.4064998626709 28.404499053955078 5.661799907684326 34.96879959106445 22.238300323486328 0.2800000011920929 4.235000133514404 81.55999755859375 2.2100000381469727 1.3530000448226929 0.41200000047683716
9.100000381469727 9.0 27.9148006439209 27.912700653076172 5.6570000648498535 35.30120086669922 22.649700164794922 0.3009999990463257 4.230000019073486 75.06999969482422 2.174999952316284 1.3860000371932983 0.4180000126361847
9.600000381469727 9.5 27.93400001525879 27.931699752807617 5.656000137329102 35.27939987182617 22.627099990844727 0.26100000739097595 4.23199987411499 66.62999725341797 2.121999979019165 1.3639999628067017 0.42800000309944153
10.100000381469727 10.0 27.639299392700195 27.636899948120117 5.646999835968018 35.4380989074707 22.842500686645508 0.28999999165534973 4.2230000495910645 58.380001068115234 2.065000057220459 1.3639999628067017 0.44999998807907104
10.600000381469727 10.5 27.41029930114746 27.407800674438477 5.633999824523926 35.5192985534668 22.977800369262695 0.296999990940094 4.21999979019165 57.13999938964844 2.055999994277954 1.4119999408721924 0.45100000500679016
11.100000381469727 11.0 27.34589958190918 27.343299865722656 5.623499870300293 35.49359893798828 22.979299545288086 0.28999999165534973 4.230000019073486 52.5 2.0190000534057617 1.4240000247955322 0.44999998807907104
11.600000381469727 11.5 27.345399856567383 27.34269905090332 5.622200012207031 35.484500885009766 22.97260093688965 0.2619999945163727 4.245999813079834 48.90999984741211 1.9889999628067017 1.3880000114440918 0.4339999854564667
12.100000381469727 12.0 27.062299728393555 27.059499740600586 5.603600025177002 35.567501068115234 23.12619972229004 0.28999999165534973 4.247000217437744 45.400001525878906 1.9559999704360962 1.3799999952316284 0.43299999833106995
12.600000381469727 12.5 26.860700607299805 26.857799530029297 5.589200019836426 35.61909866333008 23.22960090637207 0.30300000309944153 4.249000072479248 40.810001373291016 1.909999966621399 1.4140000343322754 0.43799999356269836
13.100000381469727 13.0 26.801799774169922 26.798799514770508 5.585299968719482 35.63600158691406 23.261199951171875 0.2849999964237213 4.236999988555908 38.619998931884766 1.8860000371932983 1.406999945640564 0.45500001311302185
13.600000381469727 13.5 26.664100646972656 26.660999298095703 5.576600074768066 35.6797981262207 23.33810043334961 0.2630000114440918 4.2220001220703125 35.900001525878906 1.8539999723434448 1.4129999876022339 0.4650000035762787
14.100000381469727 14.0 26.499900817871094 26.496700286865234 5.567599773406982 35.74140167236328 23.436500549316406 0.31299999356269836 4.202000141143799 33.33000183105469 1.8220000267028809 1.4429999589920044 0.47200000286102295
14.600000381469727 14.5 26.40399932861328 26.400699615478516 5.562900066375732 35.781898498535156 23.497400283813477 0.2809999883174896 4.216000080108643 30.93000030517578 1.7899999618530273 1.437000036239624 0.47099998593330383
15.100000381469727 15.0 26.148099899291992 26.144699096679688 5.543000221252441 35.83610153198242 23.618900299072266 0.1860000044107437 4.188000202178955 28.649999618530273 1.75600004196167 1.4320000410079956 0.4690000116825104
15.600000381469727 15.5 25.88330078125 25.87980079650879 5.520599842071533 35.87990188598633 23.734899520874023 0.17100000381469727 4.145999908447266 27.190000534057617 1.7330000400543213 1.5140000581741333 0.46799999475479126
16.100000381469727 16.0 25.75830078125 25.75469970703125 5.509399890899658 35.89580154418945 23.785900115966797 0.16599999368190765 4.090000152587891 24.8700008392334 1.6950000524520874 1.5770000219345093 0.47999998927116394
16.600000381469727 16.5 25.683399200439453 25.67970085144043 5.502299785614014 35.9025993347168 23.814300537109375 0.1979999989271164 4.054999828338623 23.489999771118164 1.6699999570846558 1.5499999523162842 0.4880000054836273
17.100000381469727 17.0 25.633899688720703 25.63010025024414 5.497799873352051 35.90810012817383 23.833900451660156 0.14499999582767487 4.017000198364258 21.700000762939453 1.6360000371932983 1.559999942779541 0.4860000014305115
17.600000381469727 17.5 25.469600677490234 25.465700149536133 5.4816999435424805 35.9193000793457 23.893199920654297 0.1899999976158142 3.9800000190734863 20.170000076293945 1.6039999723434448 1.5549999475479126 0.5120000243186951
18.100000381469727 18.0 25.2893009185791 25.28529930114746 5.464900016784668 35.937599182128906 23.962600708007812 0.164000004529953 3.868000030517578 18.329999923706055 1.562000036239624 1.5820000171661377 0.5400000214576721

In total, there are 32 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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