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Dataset Title:  "Deepwater CTD - 90g10021.ctd.nc - 27.75N, -93.34W - 1990-07-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_90g10021_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: 112)
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   112 options
    temperature ?  =  degree_C   112 options
    salinity ?  =  PSU   110 options
    oxygen ?  =  milliliters per liter   8 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   7 options
    phosphate ?  =  micromols per liter   7 options
    silicate ?  =  micromols per liter   5 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 29.087799072265625 33.49829864501953 5.076000213623047 0.009999999776482582 0.05000000074505806 0.009999999776482582 0.10000000149011612 -99.0 0.0
3.0 29.070100784301758 33.43730163574219 5.22599983215332 0.009999999776482582 0.05000000074505806 0.009999999776482582 0.10000000149011612 -99.0 0.0
4.0 29.06089973449707 33.43980026245117 4.989999771118164 0.3199999928474426 0.5 0.019999999552965164 0.10000000149011612 -99.0 0.0
5.0 29.06909942626953 33.42789840698242 4.980999946594238 0.3199999928474426 0.6499999761581421 0.05000000074505806 0.10000000149011612 -99.0 0.0
6.0 29.07309913635254 33.425498962402344 4.520999908447266 0.05000000074505806 3.2799999713897705 0.3100000023841858 0.30000001192092896 -99.0 0.0
7.0 29.072399139404297 33.43149948120117 3.509000062942505 0.009999999776482582 9.75 0.49000000953674316 2.299999952316284 -99.0 0.0
8.0 29.084199905395508 33.439998626708984 2.625 0.009999999776482582 30.68000030517578 1.909999966621399 18.600000381469727 -99.0 0.0
9.0 29.112300872802734 33.465599060058594 0.0
10.0 29.1564998626709 33.49369812011719 0.0
11.0 29.213899612426758 33.63719940185547 0.0
12.0 29.297800064086914 33.82529830932617 0.0
13.0 29.397300720214844 34.173099517822266 0.0
14.0 29.47010040283203 34.50920104980469 0.0
15.0 29.497400283813477 34.6692008972168 0.0
16.0 29.52280044555664 34.76940155029297 0.0
17.0 29.544099807739258 35.13180160522461 0.0
18.0 29.416400909423828 35.35810089111328 0.0
19.0 29.47480010986328 35.589500427246094 0.0
20.0 29.49020004272461 35.83089828491211 0.0
21.0 29.494699478149414 35.902198791503906 0.0
22.0 29.49690055847168 36.1161003112793 0.0
23.0 29.449600219726562 36.13180160522461 0.0
24.0 29.291400909423828 36.30459976196289 0.0
25.0 29.167800903320312 36.31719970703125 0.0
26.0 29.15049934387207 36.32590103149414 0.0
27.0 29.068500518798828 36.377899169921875 0.0
28.0 28.993000030517578 36.40639877319336 0.0
29.0 28.712600708007812 36.4833984375 0.0
30.0 28.235599517822266 36.61579895019531 0.0
31.0 27.97330093383789 36.53300094604492 0.0
32.0 27.70639991760254 36.507198333740234 0.0
33.0 27.693599700927734 36.43980026245117 0.0
34.0 27.313600540161133 36.65439987182617 0.0
35.0 27.23940086364746 36.5702018737793 0.0
36.0 26.907699584960938 36.65769958496094 0.0
37.0 26.75189971923828 36.53810119628906 0.0
38.0 26.536800384521484 36.55659866333008 0.0
39.0 26.398799896240234 36.43080139160156 0.0
40.0 25.965999603271484 36.515098571777344 0.0
41.0 25.569599151611328 36.5166015625 0.0
42.0 25.471599578857422 36.42839813232422 0.0
43.0 25.048799514770508 36.70640182495117 0.0
44.0 24.736799240112305 36.495601654052734 0.0
45.0 24.288700103759766 36.42190170288086 0.0
46.0 24.184200286865234 36.360198974609375 0.0
47.0 24.193899154663086 36.346500396728516 0.0
48.0 23.853700637817383 36.40719985961914 0.0
49.0 23.69099998474121 36.44060134887695 0.0
50.0 23.678699493408203 36.39229965209961 0.0
51.0 23.627099990844727 36.390899658203125 0.0
52.0 23.476999282836914 36.40570068359375 0.0
53.0 23.38800048828125 36.42279815673828 0.0
54.0 23.022600173950195 36.49620056152344 0.0
55.0 22.850299835205078 36.46549987792969 0.0
56.0 22.761699676513672 36.46160125732422 0.0
57.0 22.723400115966797 36.46480178833008 0.0
58.0 22.627599716186523 36.45650100708008 0.0
59.0 22.523500442504883 36.50590133666992 0.0
60.0 22.450300216674805 36.52939987182617 0.0
61.0 22.332199096679688 36.47589874267578 0.0
62.0 22.302000045776367 36.45119857788086 0.0
63.0 22.195999145507812 36.46649932861328 0.0
64.0 22.12779998779297 36.461299896240234 0.0
65.0 22.064300537109375 36.465999603271484 0.0
66.0 21.980100631713867 36.4724006652832 0.0
67.0 21.915800094604492 36.467201232910156 0.0
68.0 21.84510040283203 36.47890090942383 0.0
69.0 21.769699096679688 36.45600128173828 0.0
70.0 21.704099655151367 36.47309875488281 0.0
71.0 21.595300674438477 36.480098724365234 0.0
72.0 21.474700927734375 36.537498474121094 0.0
73.0 21.350299835205078 36.47909927368164 0.0
74.0 21.232500076293945 36.50279998779297 0.0
75.0 21.191499710083008 36.4984016418457 0.0
76.0 20.984899520874023 36.506500244140625 0.0
77.0 20.93779945373535 36.49620056152344 0.0
78.0 20.93829917907715 36.481998443603516 0.0
79.0 20.853700637817383 36.487098693847656 0.0
80.0 20.76740074157715 36.49489974975586 0.0
81.0 20.720500946044922 36.48970031738281 0.0
82.0 20.690000534057617 36.480201721191406 0.0
83.0 20.552400588989258 36.474998474121094 0.0
84.0 20.47100067138672 36.50270080566406 0.0
85.0 20.342899322509766 36.55329895019531 0.0
86.0 20.27899932861328 36.492698669433594 0.0
87.0 20.19770050048828 36.4739990234375 0.0
88.0 20.16550064086914 36.46009826660156 0.0
89.0 20.148500442504883 36.44670104980469 0.0
90.0 20.098899841308594 36.45050048828125 0.0
91.0 20.033300399780273 36.474098205566406 0.0
92.0 19.882999420166016 36.4911994934082 0.0
93.0 19.839799880981445 36.464298248291016 0.0
94.0 19.808300018310547 36.456199645996094 0.0
95.0 19.730300903320312 36.47930145263672 0.0
96.0 19.559799194335938 36.50230026245117 0.0
97.0 19.503400802612305 36.51340103149414 0.0
98.0 19.493200302124023 36.55179977416992 0.0
99.0 19.457000732421875 36.49409866333008 0.0
100.0 19.40920066833496 36.45989990234375 0.0
101.0 19.357500076293945 36.487098693847656 0.0
102.0 19.285400390625 36.492401123046875 0.0
103.0 19.040199279785156 36.52399826049805 0.0
104.0 18.957399368286133 36.532100677490234 0.0
105.0 18.95330047607422 36.556400299072266 0.0
106.0 18.994199752807617 36.45930099487305 0.0
107.0 18.88089942932129 36.527801513671875 0.0
108.0 18.86210060119629 36.48929977416992 0.0
109.0 18.8533992767334 36.50389862060547 0.0
110.0 18.831100463867188 36.47549819946289 0.0
111.0 18.807600021362305 36.48529815673828 0.0
112.0 18.833900451660156 36.44419860839844 0.0
113.0 18.721900939941406 36.472198486328125 0.0

In total, there are 112 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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