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Dataset Title:  "Deepwater CTD - 88g0512.bdo.nc - 26.97N, -93.95W - 1988-10-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0512_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: 22)
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   20 options
    temperature ?  =  degree_C   20 options
    salinity ?  =  PSU   21 options
    oxygen ?  =  milliliters per liter   22 options
    nitrite ?  =  micromols per liter   9 options
    nitrate ?  =  micromols   19 options
    phosphate ?  =  micromols per liter   19 options
    silicate ?  =  micromols per liter   20 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
30.0 26.670000076293945 36.499000549316406 4.854000091552734 0.029999999329447746 0.10000000149011612 0.05999999865889549 2.299999952316284 0.0
50.0 26.040000915527344 36.48699951171875 4.915999889373779 0.03999999910593033 0.10000000149011612 0.05999999865889549 2.299999952316284 0.0
60.0 23.610000610351562 36.50199890136719 4.931000232696533 0.10000000149011612 0.30000001192092896 0.07999999821186066 2.0 0.0
70.0 22.579999923706055 36.47999954223633 4.881999969482422 0.1899999976158142 0.4000000059604645 0.07999999821186066 1.600000023841858 0.0
80.0 21.540000915527344 36.44300079345703 4.64300012588501 0.09000000357627869 0.8999999761581421 0.10000000149011612 2.0 0.0
90.0 21.059999465942383 36.46500015258789 4.206999778747559 0.05999999865889549 3.5999999046325684 0.20999999344348907 2.0999999046325684 0.0
100.0 20.56999969482422 36.45500183105469 3.950000047683716 0.05000000074505806 5.699999809265137 0.30000001192092896 2.700000047683716 0.0
110.0 20.0 36.45199966430664 3.7909998893737793 0.029999999329447746 6.800000190734863 0.3700000047683716 2.799999952316284 0.0
125.0 19.350000381469727 36.38100051879883 3.244999885559082 0.029999999329447746 11.100000381469727 0.6100000143051147 4.199999809265137 0.0
150.0 17.440000534057617 36.27199935913086 3.006999969482422 0.019999999552965164 14.199999809265137 0.7799999713897705 5.099999904632568 0.0
175.0 15.960000038146973 36.066001892089844 2.947000026702881 0.019999999552965164 17.100000381469727 0.9700000286102295 6.5 0.0
200.0 14.739999771118164 35.974998474121094 2.8350000381469727 0.019999999552965164 18.700000762939453 1.0499999523162842 7.199999809265137 1.0
250.0 13.09000015258789 35.71799850463867 2.696000099182129 0.009999999776482582 22.200000762939453 1.2799999713897705 9.899999618530273 1.0
400.0 9.539999961853027 35.16400146484375 2.6459999084472656 0.009999999776482582 29.399999618530273 1.7799999713897705 16.399999618530273 0.0
400.0 9.539999961853027 35.180999755859375 2.9690001010894775 0.009999999776482582 27.399999618530273 1.6799999475479126 17.600000381469727 1.0
500.0 8.149999618530273 34.999000549316406 2.7860000133514404 0.009999999776482582 31.200000762939453 1.8899999856948853 20.5 0.0
598.0 6.96999979019165 34.91899871826172 3.0269999504089355 0.019999999552965164 31.799999237060547 1.9700000286102295 23.200000762939453 0.0
701.0 6.210000038146973 34.89799880981445 3.3459999561309814 0.019999999552965164 31.100000381469727 1.9500000476837158 25.0 0.0
801.0 5.71999979019165 34.9010009765625 3.634999990463257 0.019999999552965164 29.899999618530273 1.8899999856948853 26.100000381469727 0.0
897.0 5.349999904632568 34.9010009765625 3.9159998893737793 0.019999999552965164 28.899999618530273 1.8300000429153442 26.600000381469727 0.0
1075.0 4.960000038146973 34.930999755859375 4.269000053405762 0.019999999552965164 27.399999618530273 1.7100000381469727 27.0 0.0
1075.0 4.960000038146973 34.93199920654297 4.25 0.019999999552965164 27.399999618530273 1.7400000095367432 27.100000381469727 0.0

In total, there are 22 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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