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Dataset Title:  "Deepwater CTD - 92g0705f.ctd.nc - 26.61N, -94.93W - 1992-06-24" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_92g0705f_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: 99)
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   98 options
    temperature ?  =  degree_C   97 options
    salinity ?  =  PSU   93 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   2 options
    nitrate ?  =  micromols   10 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   10 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
3.0 29.01959991455078 35.622798919677734 4.559999942779541 -99.0 0.800000011920929 0.009999999776482582 1.7999999523162842 -99.0 0.0
4.0 29.01799964904785 35.62269973754883 4.739999771118164 -99.0 0.30000001192092896 0.009999999776482582 1.0 -99.0 0.0
5.0 29.008699417114258 35.61640167236328 5.050000190734863 -99.0 0.10000000149011612 0.009999999776482582 0.6000000238418579 -99.0 0.0
6.0 28.993900299072266 35.62289810180664 4.949999809265137 -99.0 0.10000000149011612 0.009999999776482582 0.30000001192092896 -99.0 0.0
7.0 28.85569953918457 35.61520004272461 4.820000171661377 -99.0 0.10000000149011612 0.009999999776482582 0.20000000298023224 -99.0 0.0
8.0 28.72170066833496 35.630699157714844 4.769999980926514 -99.0 0.30000001192092896 0.019999999552965164 0.0 -99.0 0.0
9.0 28.65410041809082 35.70399856567383 4.670000076293945 -99.0 0.5 0.029999999329447746 0.0 -99.0 0.0
10.0 28.693599700927734 35.787899017333984 4.380000114440918 -99.0 1.399999976158142 0.11999999731779099 0.30000001192092896 -99.0 0.0
11.0 28.819499969482422 35.936500549316406 4.21999979019165 -99.0 2.299999952316284 0.1899999976158142 0.6000000238418579 -99.0 0.0
12.0 28.917999267578125 36.051700592041016 3.2300000190734863 -99.0 6.900000095367432 0.44999998807907104 1.7000000476837158 -99.0 0.0
13.0 29.019899368286133 36.17559814453125 2.9600000381469727 -99.0 10.600000381469727 0.6499999761581421 2.5999999046325684 -99.0 0.0
14.0 29.047100067138672 36.268798828125 2.9800000190734863 -99.0 14.300000190734863 0.8799999952316284 4.0 -99.0 0.0
15.0 29.039600372314453 36.299198150634766 0.0
16.0 29.018600463867188 36.30139923095703 0.0
17.0 28.985000610351562 36.291500091552734 0.0
18.0 28.96980094909668 36.265499114990234 0.0
19.0 28.739299774169922 36.28450012207031 0.0
20.0 28.4158992767334 36.28419876098633 0.0
21.0 28.285400390625 36.27479934692383 0.0
22.0 28.281099319458008 36.291900634765625 0.0
23.0 28.15880012512207 36.271400451660156 0.0
24.0 28.026399612426758 36.234901428222656 0.0
25.0 27.825899124145508 36.27899932861328 0.0
26.0 27.594200134277344 36.265098571777344 0.0
27.0 27.400999069213867 36.29629898071289 0.0
28.0 27.198400497436523 36.2781982421875 0.0
29.0 27.00860023498535 36.24380111694336 0.0
30.0 26.594100952148438 36.22380065917969 0.0
31.0 26.38479995727539 36.19889831542969 0.0
32.0 26.333200454711914 36.20140075683594 0.0
33.0 26.465299606323242 36.209598541259766 0.0
34.0 26.114700317382812 36.180599212646484 0.0
35.0 25.573200225830078 36.165199279785156 0.0
36.0 25.29640007019043 36.163700103759766 0.0
37.0 25.202999114990234 36.191001892089844 0.0
38.0 25.393999099731445 36.170101165771484 0.0
39.0 25.05970001220703 36.18009948730469 0.0
40.0 24.848100662231445 36.18170166015625 0.0
41.0 24.693099975585938 36.18190002441406 0.0
42.0 24.70330047607422 36.15840148925781 0.0
43.0 24.618099212646484 36.1713981628418 0.0
44.0 24.396299362182617 36.16780090332031 0.0
45.0 24.17620086669922 36.153499603271484 0.0
46.0 24.308900833129883 36.16189956665039 0.0
47.0 24.266399383544922 36.211299896240234 0.0
48.0 24.262399673461914 36.26459884643555 0.0
49.0 24.1205997467041 36.24509811401367 0.0
50.0 23.921199798583984 36.20479965209961 0.0
51.0 23.907499313354492 36.19369888305664 0.0
52.0 23.893400192260742 36.22209930419922 0.0
53.0 23.885400772094727 36.26029968261719 0.0
54.0 23.900100708007812 36.31669998168945 0.0
55.0 23.90049934387207 36.314300537109375 0.0
56.0 23.887399673461914 36.30830001831055 0.0
57.0 23.798599243164062 36.33340072631836 0.0
58.0 23.709400177001953 36.357200622558594 0.0
59.0 23.646699905395508 36.375 0.0
60.0 23.5664005279541 36.405799865722656 0.0
61.0 23.53019905090332 36.4182014465332 0.0
62.0 23.481399536132812 36.42399978637695 0.0
63.0 23.447500228881836 36.4359016418457 0.0
64.0 23.449600219726562 36.43470001220703 0.0
65.0 23.410999298095703 36.445098876953125 0.0
66.0 23.379100799560547 36.45320129394531 0.0
67.0 23.3612003326416 36.45669937133789 0.0
68.0 23.344999313354492 36.459800720214844 0.0
69.0 23.320899963378906 36.46160125732422 0.0
70.0 23.307100296020508 36.46099853515625 0.0
71.0 23.279800415039062 36.462501525878906 0.0
72.0 23.253400802612305 36.463600158691406 0.0
73.0 23.236400604248047 36.46580123901367 0.0
74.0 23.2273006439209 36.46620178222656 0.0
75.0 23.22279930114746 36.467899322509766 0.0
76.0 23.188899993896484 36.46900177001953 0.0
77.0 23.18090057373047 36.47169876098633 0.0
78.0 23.163999557495117 36.47060012817383 0.0
79.0 23.140100479125977 36.46950149536133 0.0
80.0 23.11720085144043 36.47129821777344 0.0
81.0 23.063600540161133 36.46950149536133 0.0
82.0 23.055299758911133 36.46870040893555 0.0
83.0 23.052900314331055 36.46889877319336 0.0
84.0 23.01300048828125 36.466800689697266 0.0
85.0 22.99720001220703 36.46770095825195 0.0
86.0 22.979700088500977 36.47060012817383 0.0
87.0 22.968700408935547 36.470699310302734 0.0
88.0 22.95509910583496 36.469200134277344 0.0
89.0 22.942699432373047 36.47019958496094 0.0
90.0 22.922700881958008 36.470001220703125 0.0
91.0 22.906999588012695 36.47010040283203 0.0
92.0 22.902700424194336 36.46929931640625 0.0
93.0 22.906099319458008 36.47060012817383 0.0
94.0 22.873899459838867 36.47129821777344 0.0
95.0 22.879899978637695 36.46989822387695 0.0
96.0 22.84160041809082 36.46799850463867 0.0
97.0 22.833900451660156 36.46879959106445 0.0
98.0 22.819499969482422 36.46620178222656 0.0
99.0 22.788799285888672 36.46609878540039 0.0
100.0 22.788799285888672 36.46580123901367 0.0
100.0 22.788799285888672 36.485801696777344 0.0

In total, there are 99 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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