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Dataset Title:  "Deepwater CTD - 03260936.ctd.nc - 27.65N, -85.51W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260936_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: 513)
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   513 options
    temperature ?  =  degree_C   496 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 23.194000244140625 36.375999450683594 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.194000244140625 36.375999450683594 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.197999954223633 36.38100051879883 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.200000762939453 36.382999420166016 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.20199966430664 36.380001068115234 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.20400047302246 36.38100051879883 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.209999084472656 36.382999420166016 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.209999084472656 36.382999420166016 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.211000442504883 36.382999420166016 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.21299934387207 36.38100051879883 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.211999893188477 36.38199996948242 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.21299934387207 36.38399887084961 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.21299934387207 36.38399887084961 0.0
26.0 23.211999893188477 36.38399887084961 0.0
28.0 23.211000442504883 36.38399887084961 0.0
30.0 23.211000442504883 36.3849983215332 0.0
32.0 23.18600082397461 36.37799835205078 0.0
34.0 22.969999313354492 36.34600067138672 0.0
36.0 22.429000854492188 36.314998626708984 0.0
38.0 21.81399917602539 36.332000732421875 0.0
40.0 21.43000030517578 36.35300064086914 0.0
42.0 21.179000854492188 36.369998931884766 0.0
44.0 20.957000732421875 36.38399887084961 0.0
46.0 20.80699920654297 36.39400100708008 0.0
48.0 20.729999542236328 36.39500045776367 0.0
50.0 20.628000259399414 36.39099884033203 0.0
52.0 20.51300048828125 36.38999938964844 0.0
54.0 20.392000198364258 36.362998962402344 0.0
56.0 20.25 36.33700180053711 0.0
58.0 20.143999099731445 36.3380012512207 0.0
60.0 20.030000686645508 36.305999755859375 0.0
62.0 19.84000015258789 36.27199935913086 0.0
64.0 19.569000244140625 36.23500061035156 0.0
66.0 19.339000701904297 36.20899963378906 0.0
68.0 19.240999221801758 36.22100067138672 0.0
70.0 19.211000442504883 36.236000061035156 0.0
72.0 19.187999725341797 36.242000579833984 0.0
74.0 19.16900062561035 36.242000579833984 0.0
76.0 19.15399932861328 36.24700164794922 0.0
78.0 19.131000518798828 36.24700164794922 0.0
80.0 19.075000762939453 36.2400016784668 0.0
82.0 18.966999053955078 36.224998474121094 0.0
84.0 18.85099983215332 36.21200180053711 0.0
86.0 18.761999130249023 36.20500183105469 0.0
88.0 18.69300079345703 36.194000244140625 0.0
90.0 18.624000549316406 36.18000030517578 0.0
92.0 18.525999069213867 36.172000885009766 0.0
94.0 18.466999053955078 36.183998107910156 0.0
96.0 18.46299934387207 36.207000732421875 0.0
98.0 18.43199920654297 36.22100067138672 0.0
100.0 18.367000579833984 36.222999572753906 0.0
102.0 18.28700065612793 36.20800018310547 0.0
104.0 18.145999908447266 36.167999267578125 0.0
106.0 18.072999954223633 36.18299865722656 0.0
108.0 18.058000564575195 36.21900177001953 0.0
110.0 18.06399917602539 36.25199890136719 0.0
112.0 18.05500030517578 36.27299880981445 0.0
114.0 18.047000885009766 36.28900146484375 0.0
116.0 18.01300048828125 36.28900146484375 0.0
118.0 17.97100067138672 36.2859992980957 0.0
120.0 17.934999465942383 36.2869987487793 0.0
122.0 17.91200065612793 36.29199981689453 0.0
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126.0 17.871999740600586 36.28499984741211 0.0
128.0 17.759000778198242 36.244998931884766 0.0
130.0 17.625999450683594 36.21799850463867 0.0
132.0 17.51799964904785 36.21799850463867 0.0
134.0 17.454999923706055 36.209999084472656 0.0
136.0 17.43400001525879 36.20800018310547 0.0
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142.0 17.445999145507812 36.231998443603516 0.0
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158.0 17.3799991607666 36.345001220703125 0.0
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162.0 17.25 36.32500076293945 0.0
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184.0 16.339000701904297 36.183998107910156 0.0
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190.0 16.06999969482422 36.14500045776367 0.0
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194.0 15.996999740600586 36.13199996948242 0.0
196.0 15.951000213623047 36.125 0.0
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206.0 15.664999961853027 36.077999114990234 0.0
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220.0 15.184000015258789 35.99700164794922 0.0
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270.0 13.468000411987305 35.70899963378906 0.0
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302.0 12.47700023651123 35.551998138427734 0.0
304.0 12.423999786376953 35.54100036621094 0.0
306.0 12.36400032043457 35.529998779296875 0.0
308.0 12.293999671936035 35.520999908447266 0.0
310.0 12.232000350952148 35.51300048828125 0.0
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316.0 12.14799976348877 35.500999450683594 0.0
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990.0 5.4679999351501465 34.90700149536133 0.0
992.0 5.4670000076293945 34.90599822998047 0.0
994.0 5.466000080108643 34.90599822998047 0.0
996.0 5.464000225067139 34.90700149536133 0.0
998.0 5.461999893188477 34.90700149536133 0.0
1000.0 5.458000183105469 34.90599822998047 0.0
1002.0 5.443999767303467 34.90700149536133 0.0
1004.0 5.416999816894531 34.90700149536133 0.0
1006.0 5.388000011444092 34.909000396728516 0.0
1008.0 5.36899995803833 34.9109992980957 0.0
1010.0 5.35099983215332 34.9119987487793 0.0
1012.0 5.329999923706055 34.91400146484375 0.0
1014.0 5.308000087738037 34.91400146484375 0.0
1016.0 5.2870001792907715 34.91400146484375 0.0
1018.0 5.269999980926514 34.91600036621094 0.0
1020.0 5.255000114440918 34.91699981689453 0.0
1022.0 5.24399995803833 34.91699981689453 0.0
1024.0 5.2270002365112305 34.917999267578125 0.0

In total, there are 513 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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