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Dataset Title:  "Deepwater CTD - 94g078c.ctd.nc - 27.27N, -96.17W - 1994-00-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g078c_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   88 options
    salinity ?  =  PSU   60 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   8 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   13 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 29.094999313354492 36.367000579833984 4.488999843597412 0.019999999552965164 0.10000000149011612 0.019999999552965164 2.0999999046325684 -99.0 0.0
3.0 29.09600067138672 36.367000579833984 4.498000144958496 0.009999999776482582 0.10000000149011612 0.019999999552965164 1.899999976158142 -99.0 0.0
4.0 29.097000122070312 36.367000579833984 5.206999778747559 0.009999999776482582 0.20000000298023224 0.009999999776482582 1.2999999523162842 -99.0 0.0
5.0 29.097000122070312 36.367000579833984 4.828000068664551 0.0 0.20000000298023224 0.009999999776482582 1.0 -99.0 0.0
6.0 29.097000122070312 36.367000579833984 3.8429999351501465 0.07999999821186066 2.0 0.10000000149011612 2.700000047683716 -99.0 0.0
7.0 29.100000381469727 36.367000579833984 2.819000005722046 0.05999999865889549 11.5 0.550000011920929 3.799999952316284 -99.0 0.0
8.0 29.101999282836914 36.36600112915039 2.828000068664551 0.05000000074505806 15.300000190734863 0.7599999904632568 5.099999904632568 -99.0 0.0
9.0 29.101999282836914 36.367000579833984 2.7209999561309814 0.05000000074505806 16.299999237060547 0.9900000095367432 7.0 -99.0 0.0
10.0 29.101999282836914 36.367000579833984 2.6410000324249268 0.03999999910593033 20.899999618530273 1.1399999856948853 8.699999809265137 -99.0 0.0
11.0 29.10300064086914 36.36600112915039 2.5880000591278076 0.03999999910593033 23.0 1.2799999713897705 10.399999618530273 -99.0 0.0
12.0 29.104000091552734 36.36600112915039 2.515000104904175 0.03999999910593033 25.399999618530273 1.4500000476837158 12.399999618530273 -99.0 0.0
13.0 29.104000091552734 36.36600112915039 2.4649999141693115 0.03999999910593033 26.5 1.5199999809265137 13.699999809265137 -99.0 0.0
14.0 29.10300064086914 36.367000579833984 0.0
15.0 29.10300064086914 36.367000579833984 0.0
16.0 29.10300064086914 36.36600112915039 0.0
17.0 29.104000091552734 36.367000579833984 0.0
18.0 29.10300064086914 36.367000579833984 0.0
19.0 29.104000091552734 36.367000579833984 0.0
20.0 29.100000381469727 36.36600112915039 0.0
21.0 29.06999969482422 36.36399841308594 0.0
22.0 29.06100082397461 36.36399841308594 0.0
23.0 29.066999435424805 36.36399841308594 0.0
24.0 29.048999786376953 36.36199951171875 0.0
25.0 29.00200080871582 36.35900115966797 0.0
26.0 28.905000686645508 36.349998474121094 0.0
27.0 28.415000915527344 36.31999969482422 0.0
28.0 27.959999084472656 36.39799880981445 0.0
29.0 27.43600082397461 36.41400146484375 0.0
30.0 26.73200035095215 36.34700012207031 0.0
31.0 26.312999725341797 36.3489990234375 0.0
32.0 26.13599967956543 36.349998474121094 0.0
33.0 25.979000091552734 36.345001220703125 0.0
34.0 25.17799949645996 36.305999755859375 0.0
35.0 24.788000106811523 36.327999114990234 0.0
36.0 24.507999420166016 36.334999084472656 0.0
37.0 24.288000106811523 36.327999114990234 0.0
38.0 24.121000289916992 36.321998596191406 0.0
39.0 24.058000564575195 36.34700012207031 0.0
40.0 23.961999893188477 36.34600067138672 0.0
41.0 23.801000595092773 36.3380012512207 0.0
42.0 23.577999114990234 36.31399917602539 0.0
43.0 23.503000259399414 36.319000244140625 0.0
44.0 23.44300079345703 36.32500076293945 0.0
45.0 23.29400062561035 36.321998596191406 0.0
46.0 23.142000198364258 36.31999969482422 0.0
47.0 23.045000076293945 36.3129997253418 0.0
48.0 22.891000747680664 36.30500030517578 0.0
49.0 22.70400047302246 36.290000915527344 0.0
50.0 22.527000427246094 36.284000396728516 0.0
51.0 22.398000717163086 36.28900146484375 0.0
52.0 22.381999969482422 36.30699920654297 0.0
53.0 22.371999740600586 36.316001892089844 0.0
54.0 22.275999069213867 36.32400131225586 0.0
55.0 22.174999237060547 36.3380012512207 0.0
56.0 22.089000701904297 36.34299850463867 0.0
57.0 21.945999145507812 36.34700012207031 0.0
58.0 21.840999603271484 36.349998474121094 0.0
59.0 21.732999801635742 36.34700012207031 0.0
60.0 21.64900016784668 36.3489990234375 0.0
61.0 21.579999923706055 36.34600067138672 0.0
62.0 21.41900062561035 36.34000015258789 0.0
63.0 21.2810001373291 36.37799835205078 0.0
64.0 21.211999893188477 36.388999938964844 0.0
65.0 21.174999237060547 36.393001556396484 0.0
66.0 21.115999221801758 36.3849983215332 0.0
67.0 20.986000061035156 36.37699890136719 0.0
68.0 20.871000289916992 36.38999938964844 0.0
69.0 20.83300018310547 36.39500045776367 0.0
70.0 20.761999130249023 36.402000427246094 0.0
71.0 20.722000122070312 36.40700149536133 0.0
72.0 20.69300079345703 36.40800094604492 0.0
73.0 20.628000259399414 36.4109992980957 0.0
74.0 20.597999572753906 36.41400146484375 0.0
75.0 20.52400016784668 36.41600036621094 0.0
76.0 20.391000747680664 36.426998138427734 0.0
77.0 20.326000213623047 36.433998107910156 0.0
78.0 20.240999221801758 36.441001892089844 0.0
79.0 20.086999893188477 36.45500183105469 0.0
80.0 20.031999588012695 36.4640007019043 0.0
81.0 20.017000198364258 36.46500015258789 0.0
82.0 19.990999221801758 36.4640007019043 0.0
83.0 19.933000564575195 36.46900177001953 0.0
84.0 19.892000198364258 36.472999572753906 0.0
85.0 19.895999908447266 36.47200012207031 0.0
86.0 19.819000244140625 36.4739990234375 0.0
87.0 19.749000549316406 36.47999954223633 0.0
88.0 19.7450008392334 36.479000091552734 0.0
89.0 19.69700050354004 36.47700119018555 0.0
90.0 19.611000061035156 36.4739990234375 0.0
91.0 19.590999603271484 36.4739990234375 0.0
92.0 19.53499984741211 36.4739990234375 0.0
93.0 19.464000701904297 36.47600173950195 0.0
94.0 19.40999984741211 36.46900177001953 0.0
95.0 19.340999603271484 36.470001220703125 0.0
96.0 19.315000534057617 36.472999572753906 0.0
97.0 19.297000885009766 36.47200012207031 0.0
98.0 19.14699935913086 36.46900177001953 0.0
99.0 19.05900001525879 36.46500015258789 0.0
100.0 19.0 36.46099853515625 0.0
101.0 18.909000396728516 36.45199966430664 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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