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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00370013.bdo.nc - 25.4N, -87.33W - 1962-03-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00370013_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: 16)
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   16 options
    temperature ?  =  degree_C   16 options
    salinity ?  =  PSU   16 options
    oxygen ?  =  milliliters per liter   14 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  not-measured   1 option:
    phosphate ?  =  not-measured   1 option:
    silicate ?  =  not-measured   1 option:
    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 not-measured not-measured not-measured not-measured PSU
0.0 26.520000457763672 35.970001220703125 4.360000133514404 0.0
21.0 26.389999389648438 35.972999572753906 4.360000133514404 0.0
45.0 26.399999618530273 36.029998779296875 4.150000095367432 0.0
68.0 26.079999923706055 36.04600143432617 4.179999828338623 0.0
90.0 26.049999237060547 36.33700180053711 4.0 0.0
136.0 22.6200008392334 36.7130012512207 3.440000057220459 0.0
180.0 20.18000030517578 36.63100051879883 3.309999942779541 0.0
225.0 18.299999237060547 36.439998626708984 3.4000000953674316 0.0
269.0 16.8799991607666 36.24599838256836 3.4000000953674316 0.0
356.0 13.779999732971191 35.74300003051758 3.009999990463257 0.0
437.0 11.069999694824219 35.33300018310547 2.700000047683716 0.0
512.0 8.369999885559082 35.005001068115234 2.819999933242798 0.0
592.0 6.699999809265137 34.86000061035156 3.1600000858306885 1.0
666.0 6.090000152587891 -99.9000015258789 2.9700000286102295 0.0
966.0 4.480000019073486 34.94900131225586 4.159999847412109 0.0
1338.0 4.230000019073486 34.965999603271484 4.659999847412109 0.0

In total, there are 16 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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