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Dataset Title:  "Deepwater CTD - 91g0406b.ctd.nc - 27.46N, -94.99W - 1991-06-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_91g0406b_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: 100)
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   100 options
    temperature ?  =  degree_C   100 options
    salinity ?  =  PSU   100 options
    oxygen ?  =  milliliters per liter   7 options
    nitrite ?  =  micromols per liter   4 options
    nitrate ?  =  micromols   7 options
    phosphate ?  =  micromols per liter   7 options
    silicate ?  =  micromols per liter   7 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
1.0 29.144899368286133 31.45039939880371 2.996000051498413 0.019999999552965164 13.800000190734863 0.7200000286102295 3.9000000953674316 -99.0 0.0
2.0 29.151500701904297 31.452199935913086 2.9070000648498535 0.019999999552965164 15.5 0.5299999713897705 4.5 -99.0 0.0
3.0 29.164199829101562 31.45669937133789 2.8540000915527344 0.0 14.600000381469727 0.7599999904632568 4.400000095367432 -99.0 0.0
4.0 29.185199737548828 31.46540069580078 2.7230000495910645 0.009999999776482582 20.200000762939453 1.059999942779541 7.0 -99.0 0.0
5.0 29.22570037841797 31.487199783325195 2.617000102996826 0.009999999776482582 26.299999237060547 1.5199999809265137 12.199999809265137 -99.0 0.0
6.0 29.21269989013672 31.62030029296875 3.994999885559082 0.0 34.099998474121094 1.4700000286102295 22.600000381469727 -99.0 0.0
7.0 29.13719940185547 31.90519905090332 0.0
8.0 29.105899810791016 32.08420181274414 0.0
9.0 28.959299087524414 33.206298828125 0.0
10.0 28.892099380493164 34.47800064086914 0.0
11.0 28.627899169921875 35.0994987487793 0.0
12.0 28.61009979248047 35.647701263427734 0.0
13.0 28.6033992767334 35.83110046386719 0.0
14.0 28.693199157714844 36.052101135253906 0.0
15.0 28.869300842285156 36.319000244140625 0.0
16.0 28.6648006439209 36.31230163574219 0.0
17.0 28.241199493408203 36.25910186767578 0.0
18.0 28.13960075378418 36.305599212646484 0.0
19.0 28.099300384521484 36.343101501464844 0.0
20.0 28.065200805664062 36.34980010986328 0.0
21.0 28.02079963684082 36.35449981689453 0.0
22.0 27.982099533081055 36.34920120239258 0.0
23.0 27.992700576782227 36.36949920654297 0.0
24.0 27.948200225830078 36.36029815673828 0.0
25.0 27.700300216674805 36.30080032348633 0.0
26.0 27.381099700927734 36.22140121459961 0.0
27.0 26.6830997467041 36.07600021362305 0.0
28.0 25.921199798583984 35.94129943847656 0.0
29.0 24.87380027770996 35.78329849243164 0.0
30.0 24.417200088500977 35.805198669433594 0.0
31.0 24.152099609375 35.80039978027344 0.0
32.0 23.835500717163086 35.79600143432617 0.0
33.0 23.586700439453125 35.813201904296875 0.0
34.0 23.49720001220703 35.83700180053711 0.0
35.0 23.322399139404297 35.91809844970703 0.0
36.0 22.999500274658203 35.94200134277344 0.0
37.0 22.9148006439209 35.9474983215332 0.0
38.0 22.74679946899414 35.9556999206543 0.0
39.0 22.540800094604492 35.9734992980957 0.0
40.0 22.51140022277832 36.012001037597656 0.0
41.0 22.55929946899414 36.11759948730469 0.0
42.0 22.59939956665039 36.186100006103516 0.0
43.0 22.596900939941406 36.20640182495117 0.0
44.0 22.56329917907715 36.23429870605469 0.0
45.0 22.457199096679688 36.241600036621094 0.0
46.0 22.29520034790039 36.21110153198242 0.0
47.0 22.177400588989258 36.19219970703125 0.0
48.0 22.130599975585938 36.185699462890625 0.0
49.0 22.082599639892578 36.179500579833984 0.0
50.0 22.01180076599121 36.16619873046875 0.0
51.0 21.84760093688965 36.13999938964844 0.0
52.0 21.683000564575195 36.122501373291016 0.0
53.0 21.638900756835938 36.12099838256836 0.0
54.0 21.581199645996094 36.12779998779297 0.0
55.0 21.39240074157715 36.105201721191406 0.0
56.0 21.298900604248047 36.09270095825195 0.0
57.0 21.20599937438965 36.07659912109375 0.0
58.0 21.062599182128906 36.04679870605469 0.0
59.0 20.982099533081055 36.030601501464844 0.0
60.0 20.993799209594727 36.041900634765625 0.0
61.0 21.00749969482422 36.06060028076172 0.0
62.0 21.0674991607666 36.10639953613281 0.0
63.0 21.09239959716797 36.1531982421875 0.0
64.0 21.152999877929688 36.203800201416016 0.0
65.0 21.177900314331055 36.225399017333984 0.0
66.0 21.16349983215332 36.22909927368164 0.0
67.0 21.212400436401367 36.27299880981445 0.0
68.0 21.334800720214844 36.37160110473633 0.0
69.0 21.363500595092773 36.394901275634766 0.0
70.0 21.363000869750977 36.41120147705078 0.0
71.0 21.347700119018555 36.4203987121582 0.0
72.0 21.271299362182617 36.41230010986328 0.0
73.0 21.219499588012695 36.406700134277344 0.0
74.0 21.208599090576172 36.40589904785156 0.0
75.0 21.18709945678711 36.40359878540039 0.0
76.0 21.15730094909668 36.40010070800781 0.0
77.0 21.02680015563965 36.39120101928711 0.0
78.0 20.920400619506836 36.382301330566406 0.0
79.0 20.856599807739258 36.37260055541992 0.0
80.0 20.802499771118164 36.359901428222656 0.0
81.0 20.759000778198242 36.3494987487793 0.0
82.0 20.6830997467041 36.33110046386719 0.0
83.0 20.55459976196289 36.305301666259766 0.0
84.0 20.47559928894043 36.29050064086914 0.0
85.0 20.368799209594727 36.2677001953125 0.0
86.0 20.291000366210938 36.26369857788086 0.0
87.0 20.211700439453125 36.272098541259766 0.0
88.0 20.161500930786133 36.28820037841797 0.0
89.0 20.18120002746582 36.30619812011719 0.0
90.0 20.196500778198242 36.319698333740234 0.0
91.0 20.207500457763672 36.32929992675781 0.0
92.0 20.22439956665039 36.34080123901367 0.0
93.0 20.228099822998047 36.346099853515625 0.0
94.0 20.240999221801758 36.363800048828125 0.0
95.0 20.259899139404297 36.37889862060547 0.0
96.0 20.247499465942383 36.385501861572266 0.0
97.0 20.216999053955078 36.404998779296875 0.0
98.0 20.25779914855957 36.44969940185547 0.0
99.0 20.25189971923828 36.4744987487793 0.0
100.0 20.040000915527344 36.4817008972168 0.0

In total, there are 100 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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