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Dataset Title:  "Deepwater CTD - 90g1025a.ctd.nc - 27.28N, -92.97W - 1990-07-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g1025a_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: 56)
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   56 options
    temperature ?  =  degree_C   49 options
    salinity ?  =  PSU   56 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
2.0 29.129199981689453 24.576200485229492 4.676000118255615 0.019999999552965164 0.20000000298023224 0.009999999776482582 1.899999976158142 -99.0 0.0
3.0 29.129199981689453 36.38800048828125 4.15500020980835 0.41999998688697815 1.2000000476837158 0.11999999731779099 6.599999904632568 -99.0 0.0
4.0 29.128299713134766 35.02539825439453 3.5299999713897705 0.07999999821186066 5.199999809265137 0.36000001430511475 9.800000190734863 -99.0 0.0
5.0 29.128799438476562 34.922298431396484 3.438999891281128 0.05999999865889549 7.400000095367432 0.49000000953674316 8.5 -99.0 0.0
6.0 29.128599166870117 35.06529998779297 3.072000026702881 0.05000000074505806 10.399999618530273 0.6100000143051147 8.300000190734863 -99.0 0.0
7.0 29.128999710083008 35.15370178222656 2.9110000133514404 0.05000000074505806 12.899999618530273 0.7300000190734863 8.899999618530273 -99.0 0.0
8.0 29.125499725341797 35.179500579833984 2.9830000400543213 0.05999999865889549 16.700000762939453 0.9399999976158142 9.5 -99.0 0.0
9.0 29.124500274658203 35.227500915527344 2.9609999656677246 0.05999999865889549 16.899999618530273 0.9800000190734863 9.399999618530273 -99.0 0.0
10.0 29.124300003051758 35.29859924316406 2.734999895095825 0.07000000029802322 20.100000381469727 1.1399999856948853 10.600000381469727 -99.0 0.0
11.0 29.125200271606445 35.260799407958984 2.7179999351501465 0.10999999940395355 28.5 1.7300000190734863 18.799999237060547 -99.0 0.0
12.0 29.12540054321289 35.34040069580078 2.822000026702881 0.10999999940395355 30.399999618530273 1.840000033378601 21.899999618530273 -99.0 0.0
13.0 29.125999450683594 32.812198638916016 0.0
14.0 29.12019920349121 -99.98999786376953 0.0
15.0 29.124500274658203 35.84709930419922 0.0
16.0 29.125200271606445 35.84749984741211 0.0
17.0 29.125499725341797 35.84859848022461 0.0
18.0 29.126100540161133 35.84920120239258 0.0
19.0 29.12649917602539 35.8489990234375 0.0
20.0 29.12540054321289 35.85240173339844 0.0
21.0 29.126399993896484 35.84989929199219 0.0
22.0 29.126300811767578 35.851898193359375 0.0
23.0 29.12700080871582 35.85279846191406 0.0
24.0 29.12700080871582 35.85089874267578 0.0
25.0 29.124099731445312 35.86259841918945 0.0
26.0 29.12019920349121 35.877201080322266 0.0
27.0 28.99090003967285 36.06039810180664 0.0
28.0 28.858600616455078 36.153900146484375 0.0
29.0 28.436800003051758 36.372100830078125 0.0
30.0 27.422500610351562 36.185699462890625 0.0
31.0 26.854299545288086 36.062198638916016 0.0
32.0 26.70829963684082 36.08789825439453 0.0
33.0 26.47010040283203 36.11980056762695 0.0
34.0 26.162900924682617 36.20949935913086 0.0
35.0 26.036800384521484 36.2328987121582 0.0
36.0 25.831600189208984 36.2864990234375 0.0
37.0 25.676599502563477 36.285499572753906 0.0
38.0 25.54010009765625 36.33539962768555 0.0
39.0 25.39299964904785 36.367000579833984 0.0
40.0 25.231800079345703 36.34370040893555 0.0
41.0 25.051599502563477 36.32109832763672 0.0
42.0 24.975099563598633 36.29990005493164 0.0
43.0 24.82069969177246 36.26129913330078 0.0
44.0 24.726499557495117 36.25080108642578 0.0
45.0 24.600299835205078 36.224998474121094 0.0
46.0 24.449399948120117 36.20280075073242 0.0
47.0 23.979900360107422 36.15829849243164 0.0
48.0 23.721099853515625 36.1890983581543 0.0
49.0 23.623699188232422 36.207298278808594 0.0
50.0 23.492599487304688 36.21620178222656 0.0
51.0 23.426300048828125 36.23030090332031 0.0
52.0 23.359800338745117 36.23649978637695 0.0
53.0 23.32110023498535 36.242000579833984 0.0
54.0 23.29319953918457 36.2406005859375 0.0
55.0 23.17959976196289 36.2401008605957 0.0
56.0 23.0093994140625 36.25299835205078 0.0
57.0 22.89229965209961 36.27410125732422 0.0

In total, there are 56 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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