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Dataset Title:  "Deepwater CTD - 88g0516.bdo.nc - 25.67N, -94.0W - 1988-10-18" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0516_bdo)
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: 24)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    depth ?  =  m   23 options
    temperature ?  =  degree_C   23 options
    salinity ?  =  PSU   23 options
    oxygen ?  =  milliliters per liter   23 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   18 options
    phosphate ?  =  micromols per liter   19 options
    silicate ?  =  micromols per liter   17 options
    salinity2 ?  =  PSU   1 option:
    qualityFlag ?  =  2 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)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
10.0 27.280000686645508 36.47600173950195 4.639999866485596 0.009999999776482582 0.20000000298023224 0.009999999776482582 1.100000023841858 0.0
30.0 27.270000457763672 36.4739990234375 4.633999824523926 0.009999999776482582 0.20000000298023224 0.009999999776482582 1.100000023841858 0.0
50.0 27.1299991607666 36.45600128173828 4.671999931335449 0.009999999776482582 0.20000000298023224 0.019999999552965164 1.2000000476837158 0.0
60.0 25.81999969482422 36.43000030517578 4.761000156402588 0.009999999776482582 0.20000000298023224 0.029999999329447746 1.2000000476837158 0.0
70.0 24.809999465942383 36.45399856567383 4.586999893188477 0.009999999776482582 0.20000000298023224 0.029999999329447746 1.2000000476837158 0.0
80.0 23.8700008392334 36.49599838256836 4.666999816894531 0.009999999776482582 0.4000000059604645 0.029999999329447746 1.100000023841858 0.0
90.0 22.780000686645508 36.55400085449219 4.835999965667725 0.05000000074505806 0.4000000059604645 0.03999999910593033 1.100000023841858 0.0
100.0 22.420000076293945 36.582000732421875 4.498000144958496 0.05999999865889549 0.699999988079071 0.07999999821186066 1.2000000476837158 0.0
110.0 22.469999313354492 36.6510009765625 4.1539998054504395 0.03999999910593033 1.899999976158142 0.12999999523162842 1.399999976158142 0.0
125.0 22.020000457763672 36.797000885009766 3.7980000972747803 0.03999999910593033 3.700000047683716 0.20000000298023224 1.600000023841858 0.0
150.0 20.6299991607666 36.88199996948242 3.565999984741211 0.029999999329447746 5.0 0.27000001072883606 1.7999999523162842 0.0
175.0 18.780000686645508 36.46699905395508 3.322999954223633 0.019999999552965164 9.800000190734863 0.5299999713897705 3.4000000953674316 0.0
200.0 17.729999542236328 36.34700012207031 3.1089999675750732 0.009999999776482582 12.600000381469727 0.699999988079071 4.400000095367432 0.0
250.0 15.550000190734863 36.03300094604492 2.76200008392334 0.009999999776482582 17.700000762939453 1.0099999904632568 6.800000190734863 0.0
300.0 14.140000343322754 35.808998107910156 2.693000078201294 0.009999999776482582 20.700000762939453 1.2100000381469727 8.600000381469727 0.0
400.0 11.449999809265137 35.43299865722656 2.5789999961853027 0.009999999776482582 25.700000762939453 1.5499999523162842 12.5 1.0
500.0 9.270000457763672 35.130001068115234 2.5989999771118164 0.009999999776482582 29.700000762939453 1.809999942779541 16.899999618530273 0.0
600.0 7.670000076293945 34.96799850463867 2.812999963760376 0.009999999776482582 31.100000381469727 1.9500000476837158 20.299999237060547 0.0
700.0 6.71999979019165 34.90700149536133 3.177999973297119 0.009999999776482582 31.0 1.9900000095367432 23.0 0.0
800.0 6.150000095367432 34.900001525878906 3.3580000400543213 0.009999999776482582 30.600000381469727 1.9500000476837158 24.5 1.0
900.0 5.619999885559082 34.90700149536133 3.686000108718872 0.009999999776482582 29.299999237060547 1.8799999952316284 25.899999618530273 0.0
1000.0 5.119999885559082 34.92300033569336 4.014999866485596 0.009999999776482582 28.200000762939453 1.7999999523162842 26.299999237060547 0.0
1250.0 4.460000038146973 34.95199966430664 4.573999881744385 0.009999999776482582 25.899999618530273 1.6299999952316284 26.200000762939453 0.0
1250.0 4.460000038146973 34.95399856567383 4.573999881744385 0.009999999776482582 25.700000762939453 1.6299999952316284 26.200000762939453 0.0

In total, there are 24 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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