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Dataset Title:  "Deepwater CTD - 88g0527.bdo.nc - 26.53N, -94.65W - 1988-10-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0527_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: 23)
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   23 options
    oxygen ?  =  milliliters per liter   23 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   16 options
    phosphate ?  =  micromols per liter   16 options
    silicate ?  =  micromols per liter   15 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 26.559999465942383 36.474998474121094 4.714000225067139 0.0 0.10000000149011612 0.029999999329447746 2.200000047683716 0.0
40.0 26.229999542236328 36.50600051879883 4.630000114440918 0.0 0.10000000149011612 0.009999999776482582 1.899999976158142 0.0
50.0 24.93000030517578 36.55799865722656 5.064000129699707 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.899999976158142 0.0
60.0 23.860000610351562 36.534000396728516 5.276000022888184 0.009999999776482582 0.10000000149011612 0.019999999552965164 1.899999976158142 0.0
70.0 23.200000762939453 36.50699996948242 5.133999824523926 0.009999999776482582 0.10000000149011612 0.029999999329447746 1.899999976158142 0.0
80.0 22.5 36.51900100708008 5.01200008392334 0.009999999776482582 0.029999999329447746 0.009999999776482582 1.7999999523162842 0.0
90.0 22.139999389648438 36.51300048828125 4.730999946594238 0.09000000357627869 0.029999999329447746 0.029999999329447746 1.7999999523162842 0.0
100.0 21.850000381469727 36.520999908447266 4.64900016784668 0.17000000178813934 0.0 0.05999999865889549 2.5 0.0
110.0 21.579999923706055 36.527000427246094 4.559000015258789 0.10000000149011612 0.30000001192092896 0.03999999910593033 1.7000000476837158 0.0
110.0 21.579999923706055 36.53099822998047 4.556000232696533 0.10000000149011612 0.20000000298023224 0.019999999552965164 1.600000023841858 0.0
125.0 21.389999389648438 36.5359992980957 4.500999927520752 0.05000000074505806 0.8999999761581421 0.05000000074505806 1.7000000476837158 0.0
150.0 21.06999969482422 36.52000045776367 4.416999816894531 0.029999999329447746 2.0999999046325684 0.10000000149011612 1.899999976158142 0.0
175.0 20.0 36.452999114990234 3.8369998931884766 0.029999999329447746 5.699999809265137 0.28999999165534973 3.0999999046325684 0.0
175.0 20.0 36.45399856567383 3.816999912261963 0.029999999329447746 5.699999809265137 0.28999999165534973 3.0999999046325684 0.0
200.0 18.8700008392334 36.46900177001953 3.2279999256134033 0.019999999552965164 10.199999809265137 0.5400000214576721 4.5 0.0
250.0 16.459999084472656 36.1510009765625 2.806999921798706 0.009999999776482582 16.0 0.8899999856948853 6.900000095367432 0.0
300.0 14.470000267028809 35.87900161743164 2.6470000743865967 0.009999999776482582 20.0 1.1200000047683716 9.699999809265137 0.0
500.0 9.640000343322754 35.178001403808594 2.492000102996826 0.009999999776482582 29.799999237060547 1.7599999904632568 17.399999618530273 0.0
600.0 8.220000267028809 35.01300048828125 2.6530001163482666 0.009999999776482582 32.0 1.899999976158142 21.100000381469727 0.0
600.0 8.220000267028809 35.013999938964844 2.635999917984009 0.009999999776482582 32.0 1.899999976158142 21.100000381469727 0.0
700.0 7.03000020980835 34.89699935913086 3.246999979019165 0.009999999776482582 31.5 1.9299999475479126 26.200000762939453 0.0
800.0 6.130000114440918 34.904998779296875 3.6070001125335693 0.009999999776482582 30.100000381469727 1.8600000143051147 27.100000381469727 0.0
900.0 5.599999904632568 34.92499923706055 3.9549999237060547 0.009999999776482582 28.399999618530273 1.7400000095367432 27.600000381469727 1.0

In total, there are 23 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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