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Dataset Title:  "Deepwater CTD - 90g10110.ctd.nc - 28.64N, -90.19W - 1990-07-23" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10110_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: 43)
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   43 options
    temperature ?  =  degree_C   43 options
    salinity ?  =  PSU   42 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols per liter   12 options
    silicate ?  =  micromols per liter   12 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  1 option: 0.0

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
6.0 29.265100479125977 27.518999099731445 4.676000118255615 0.019999999552965164 0.20000000298023224 0.009999999776482582 1.899999976158142 -99.0 0.0
7.0 29.400999069213867 28.686399459838867 4.15500020980835 0.41999998688697815 1.2000000476837158 0.11999999731779099 6.599999904632568 -99.0 0.0
8.0 29.338300704956055 31.161100387573242 3.5299999713897705 0.07999999821186066 5.199999809265137 0.36000001430511475 9.800000190734863 -99.0 0.0
9.0 29.666200637817383 33.37120056152344 3.438999891281128 0.05999999865889549 7.400000095367432 0.49000000953674316 8.5 -99.0 0.0
10.0 29.599700927734375 34.76350021362305 3.072000026702881 0.05000000074505806 10.399999618530273 0.6100000143051147 8.300000190734863 -99.0 0.0
11.0 29.482799530029297 34.949798583984375 2.9110000133514404 0.05000000074505806 12.899999618530273 0.7300000190734863 8.899999618530273 -99.0 0.0
12.0 29.450899124145508 35.08150100708008 2.9830000400543213 0.05999999865889549 16.700000762939453 0.9399999976158142 9.5 -99.0 0.0
13.0 29.29960060119629 35.15769958496094 2.9609999656677246 0.05999999865889549 16.899999618530273 0.9800000190734863 9.399999618530273 -99.0 0.0
14.0 29.382299423217773 35.30950164794922 2.734999895095825 0.07000000029802322 20.100000381469727 1.1399999856948853 10.600000381469727 -99.0 0.0
15.0 29.21299934387207 35.419700622558594 2.7179999351501465 0.10999999940395355 28.5 1.7300000190734863 18.799999237060547 -99.0 0.0
16.0 28.9867000579834 35.49700164794922 2.822000026702881 0.10999999940395355 30.399999618530273 1.840000033378601 21.899999618530273 -99.0 0.0
17.0 28.60070037841797 35.54650115966797 0.0
18.0 28.24410057067871 35.55500030517578 0.0
19.0 27.796199798583984 35.61280059814453 0.0
20.0 27.58340072631836 35.64550018310547 0.0
21.0 27.178600311279297 35.67850112915039 0.0
22.0 26.77199935913086 35.71039962768555 0.0
23.0 26.316499710083008 35.708900451660156 0.0
24.0 25.788299560546875 35.73659896850586 0.0
25.0 25.13129997253418 35.88740158081055 0.0
26.0 24.73889923095703 36.020198822021484 0.0
27.0 24.417999267578125 36.11479949951172 0.0
28.0 24.080299377441406 36.0791015625 0.0
29.0 23.660600662231445 36.076900482177734 0.0
30.0 23.4330997467041 36.09550094604492 0.0
31.0 23.214799880981445 36.11690139770508 0.0
32.0 23.153099060058594 36.12089920043945 0.0
33.0 23.139400482177734 36.11880111694336 0.0
34.0 23.1205997467041 36.11869812011719 0.0
35.0 23.111900329589844 36.11709976196289 0.0
36.0 23.103599548339844 36.1161994934082 0.0
37.0 23.096500396728516 36.114498138427734 0.0
38.0 23.089500427246094 36.113399505615234 0.0
39.0 23.085399627685547 36.11259841918945 0.0
40.0 23.084299087524414 36.11140060424805 0.0
41.0 23.08449935913086 36.11159896850586 0.0
42.0 23.083599090576172 36.11109924316406 0.0
43.0 23.082599639892578 36.111000061035156 0.0
44.0 23.081600189208984 36.11040115356445 0.0
45.0 23.0802001953125 36.11040115356445 0.0
46.0 23.079299926757812 36.109901428222656 0.0
47.0 23.07900047302246 36.11009979248047 0.0
48.0 23.078899383544922 36.109798431396484 0.0

In total, there are 43 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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