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Dataset Title:  "Deepwater CTD - 03260946.ctd.nc - 27.66N, -85.54W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260946_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: 514)
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   514 options
    temperature ?  =  degree_C   502 options
    salinity ?  =  PSU   292 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

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 micromols micromols micromols PSU
0.0 23.16900062561035 36.39799880981445 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.16900062561035 36.39799880981445 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.16900062561035 36.39899826049805 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.16900062561035 36.39799880981445 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.16699981689453 36.39799880981445 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.16699981689453 36.39899826049805 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.16699981689453 36.39899826049805 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.16900062561035 36.39899826049805 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.172000885009766 36.39899826049805 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.170000076293945 36.400001525878906 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.17099952697754 36.400001525878906 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.17300033569336 36.39899826049805 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.173999786376953 36.39899826049805 0.0
26.0 23.17300033569336 36.4010009765625 0.0
28.0 23.167999267578125 36.402000427246094 0.0
30.0 23.134000778198242 36.393001556396484 0.0
32.0 23.033000946044922 36.375999450683594 0.0
34.0 22.915000915527344 36.36000061035156 0.0
36.0 22.792999267578125 36.36000061035156 0.0
38.0 22.527999877929688 36.36199951171875 0.0
40.0 21.97800064086914 36.327999114990234 0.0
42.0 21.316999435424805 36.33000183105469 0.0
44.0 21.018999099731445 36.38399887084961 0.0
46.0 20.841999053955078 36.391998291015625 0.0
48.0 20.697999954223633 36.391998291015625 0.0
50.0 20.576000213623047 36.38999938964844 0.0
52.0 20.44099998474121 36.38600158691406 0.0
54.0 20.35300064086914 36.387001037597656 0.0
56.0 20.29199981689453 36.37799835205078 0.0
58.0 20.145999908447266 36.34199905395508 0.0
60.0 19.909000396728516 36.29899978637695 0.0
62.0 19.69499969482422 36.2760009765625 0.0
64.0 19.56100082397461 36.26300048828125 0.0
66.0 19.42300033569336 36.24599838256836 0.0
68.0 19.29400062561035 36.229000091552734 0.0
70.0 19.18899917602539 36.22700119018555 0.0
72.0 19.121999740600586 36.231998443603516 0.0
74.0 19.05299949645996 36.236000061035156 0.0
76.0 18.968000411987305 36.224998474121094 0.0
78.0 18.857999801635742 36.2140007019043 0.0
80.0 18.79599952697754 36.20899963378906 0.0
82.0 18.756000518798828 36.20500183105469 0.0
84.0 18.702999114990234 36.198001861572266 0.0
86.0 18.655000686645508 36.19499969482422 0.0
88.0 18.618999481201172 36.19499969482422 0.0
90.0 18.59600067138672 36.19499969482422 0.0
92.0 18.57200050354004 36.194000244140625 0.0
94.0 18.509000778198242 36.18600082397461 0.0
96.0 18.44499969482422 36.194000244140625 0.0
98.0 18.489999771118164 36.24300003051758 0.0
100.0 18.545000076293945 36.2760009765625 0.0
102.0 18.475000381469727 36.25699996948242 0.0
104.0 18.349000930786133 36.23099899291992 0.0
106.0 18.226999282836914 36.21099853515625 0.0
108.0 18.160999298095703 36.20399856567383 0.0
110.0 18.124000549316406 36.2140007019043 0.0
112.0 18.099000930786133 36.22999954223633 0.0
114.0 18.08099937438965 36.242000579833984 0.0
116.0 18.033000946044922 36.236000061035156 0.0
118.0 17.969999313354492 36.244998931884766 0.0
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122.0 18.017000198364258 36.305999755859375 0.0
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128.0 17.924999237060547 36.2869987487793 0.0
130.0 17.858999252319336 36.28099822998047 0.0
132.0 17.804000854492188 36.279998779296875 0.0
134.0 17.77199935913086 36.28200149536133 0.0
136.0 17.740999221801758 36.27899932861328 0.0
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172.0 17.023000717163086 36.29100036621094 0.0
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254.0 14.029000282287598 35.81100082397461 0.0
256.0 13.989999771118164 35.80400085449219 0.0
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310.0 12.680999755859375 35.59000015258789 0.0
312.0 12.630999565124512 35.582000732421875 0.0
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990.0 5.368000030517578 34.9109992980957 0.0
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996.0 5.357999801635742 34.9109992980957 0.0
998.0 5.355000019073486 34.9109992980957 0.0
1000.0 5.3520002365112305 34.9109992980957 0.0
1002.0 5.3480000495910645 34.9109992980957 0.0
1004.0 5.34499979019165 34.9109992980957 0.0
1006.0 5.3420000076293945 34.9119987487793 0.0
1008.0 5.3379998207092285 34.9119987487793 0.0
1010.0 5.335000038146973 34.9119987487793 0.0
1012.0 5.331999778747559 34.9119987487793 0.0
1014.0 5.327000141143799 34.9119987487793 0.0
1016.0 5.324999809265137 34.91299819946289 0.0
1018.0 5.322000026702881 34.91299819946289 0.0
1020.0 5.317999839782715 34.91299819946289 0.0
1022.0 5.315999984741211 34.91299819946289 0.0
1024.0 5.310999870300293 34.91400146484375 0.0
1026.0 5.298999786376953 34.915000915527344 0.0

In total, there are 514 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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