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Dataset Title:  "Deepwater CTD - n4l07s09.ctd.nc - 29.02N, -86.25W - 1998-11-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_n4l07s09_ctd)
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: 622)
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   311 options
    temperature ?  =  degree_C   573 options
    salinity ?  =  PSU   520 options
    oxygen ?  =  milliliters per liter   12 options
    pressure ?  =  decibars   622 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 options
    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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter decibars micromols micromols micromols micromols PSU
3.0 25.02589988708496 35.99420166015625 4.619999885559082 3.5239999294281006 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
3.0 25.02750015258789 35.99449920654297 4.590000152587891 3.0199999809265137 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
4.0 25.004899978637695 35.9922981262207 4.630000114440918 4.53000020980835 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
4.0 25.017499923706055 35.99330139160156 4.630000114440918 4.0269999504089355 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
5.0 24.998199462890625 35.99190139770508 4.760000228881836 5.5370001792907715 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
5.0 24.998600006103516 35.9922981262207 4.75 5.033999919891357 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
6.0 24.98509979248047 35.9906005859375 3.119999885559082 6.544000148773193 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
6.0 24.998199462890625 35.99190139770508 4.46999979019165 6.039999961853027 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
7.0 24.957300186157227 35.988399505615234 2.7899999618530273 7.550000190734863 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
7.0 24.979799270629883 35.99100112915039 2.9000000953674316 7.046999931335449 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
8.0 24.903799057006836 35.98529815673828 2.819999933242798 8.557000160217285 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
8.0 24.92289924621582 35.98659896850586 2.9100000858306885 8.053999900817871 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
9.0 24.84830093383789 35.98270034790039 9.564000129699707 0.0
9.0 24.871000289916992 35.983699798583984 9.0600004196167 0.0
10.0 24.84000015258789 35.9822998046875 10.571000099182129 0.0
10.0 24.84149932861328 35.98249816894531 10.067000389099121 0.0
11.0 24.834800720214844 35.98189926147461 11.57699966430664 0.0
11.0 24.83799934387207 35.98189926147461 11.074000358581543 0.0
12.0 24.832700729370117 35.981998443603516 12.583999633789062 0.0
12.0 24.83329963684082 35.981998443603516 12.081000328063965 0.0
13.0 24.829099655151367 35.98189926147461 13.590999603271484 0.0
13.0 24.831899642944336 35.98210144042969 13.088000297546387 0.0
14.0 24.82360076904297 35.98210144042969 14.597000122070312 0.0
14.0 24.825300216674805 35.98210144042969 14.093999862670898 0.0
15.0 24.821399688720703 35.982200622558594 15.604000091552734 0.0
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16.0 24.818199157714844 35.982398986816406 16.611000061035156 0.0
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313.0 11.635299682617188 35.44430160522461 315.33599853515625 0.0

In total, there are 622 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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