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Dataset Title:  "Deepwater CTD - 03260005.ctd.nc - 27.64N, -85.55W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260005_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: 479)
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   479 options
    temperature ?  =  degree_C   468 options
    salinity ?  =  PSU   263 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 20.64900016784668 36.43899917602539 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.64900016784668 36.43899917602539 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.650999069213867 36.439998626708984 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.649999618530273 36.43899917602539 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.650999069213867 36.4379997253418 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.652999877929688 36.441001892089844 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.652999877929688 36.439998626708984 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.645999908447266 36.43899917602539 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.57200050354004 36.44300079345703 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.42300033569336 36.46099853515625 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.350000381469727 36.4640007019043 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.30500030517578 36.4640007019043 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.270999908447266 36.46099853515625 0.0
26.0 20.23900032043457 36.46099853515625 0.0
28.0 20.214000701904297 36.46500015258789 0.0
30.0 20.20599937438965 36.465999603271484 0.0
32.0 20.200000762939453 36.46699905395508 0.0
34.0 20.19700050354004 36.46699905395508 0.0
36.0 20.19499969482422 36.46699905395508 0.0
38.0 20.191999435424805 36.465999603271484 0.0
40.0 20.190000534057617 36.46699905395508 0.0
42.0 20.187999725341797 36.46799850463867 0.0
44.0 20.18400001525879 36.46699905395508 0.0
46.0 20.183000564575195 36.46699905395508 0.0
48.0 20.183000564575195 36.46900177001953 0.0
50.0 20.179000854492188 36.46799850463867 0.0
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56.0 20.17300033569336 36.46900177001953 0.0
58.0 20.166000366210938 36.470001220703125 0.0
60.0 20.15999984741211 36.472999572753906 0.0
62.0 20.14299964904785 36.472999572753906 0.0
64.0 20.101999282836914 36.47200012207031 0.0
66.0 19.989999771118164 36.470001220703125 0.0
68.0 19.809999465942383 36.46500015258789 0.0
70.0 19.617000579833984 36.46900177001953 0.0
72.0 19.492000579833984 36.50699996948242 0.0
74.0 19.43600082397461 36.52199935913086 0.0
76.0 19.288999557495117 36.50699996948242 0.0
78.0 19.10700035095215 36.492000579833984 0.0
80.0 18.961000442504883 36.4900016784668 0.0
82.0 18.847000122070312 36.481998443603516 0.0
84.0 18.75200080871582 36.47700119018555 0.0
86.0 18.66699981689453 36.46900177001953 0.0
88.0 18.57200050354004 36.46699905395508 0.0
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92.0 18.349000930786133 36.435001373291016 0.0
94.0 18.211999893188477 36.4109992980957 0.0
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102.0 17.766000747680664 36.38800048828125 0.0
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106.0 17.540000915527344 36.33599853515625 0.0
108.0 17.423999786376953 36.33100128173828 0.0
110.0 17.30900001525879 36.31999969482422 0.0
112.0 17.173999786376953 36.29499816894531 0.0
114.0 17.08799934387207 36.29800033569336 0.0
116.0 17.0310001373291 36.29100036621094 0.0
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794.0 5.51200008392334 34.9010009765625 0.0
796.0 5.505000114440918 34.90299987792969 0.0
798.0 5.5 34.90399932861328 0.0
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802.0 5.492000102996826 34.904998779296875 0.0
804.0 5.486999988555908 34.90399932861328 0.0
806.0 5.48199987411499 34.904998779296875 0.0
808.0 5.47599983215332 34.90599822998047 0.0
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816.0 5.434999942779541 34.90800094604492 0.0
818.0 5.427000045776367 34.909000396728516 0.0
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880.0 5.229000091552734 34.922000885009766 0.0
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892.0 5.160999774932861 34.92399978637695 0.0
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896.0 5.1529998779296875 34.92599868774414 1.0
898.0 5.1529998779296875 34.92499923706055 0.0
900.0 5.1539998054504395 34.92300033569336 0.0
902.0 5.150000095367432 34.92399978637695 0.0
904.0 5.146999835968018 34.92399978637695 0.0
906.0 5.145999908447266 34.92399978637695 0.0
908.0 5.144999980926514 34.92499923706055 0.0
910.0 5.13700008392334 34.92499923706055 0.0
912.0 5.118000030517578 34.92399978637695 0.0
914.0 5.09499979019165 34.92599868774414 0.0
916.0 5.078999996185303 34.926998138427734 0.0
918.0 5.072999954223633 34.928001403808594 0.0
920.0 5.068999767303467 34.92900085449219 0.0
922.0 5.065999984741211 34.93000030517578 0.0
924.0 5.060999870300293 34.93000030517578 0.0
926.0 5.056000232696533 34.928001403808594 0.0
928.0 5.046999931335449 34.928001403808594 0.0
930.0 5.039000034332275 34.92900085449219 0.0
932.0 5.03000020980835 34.93000030517578 0.0
934.0 5.019000053405762 34.93199920654297 0.0
936.0 5.013000011444092 34.93199920654297 0.0
938.0 5.011000156402588 34.93199920654297 0.0
940.0 5.008999824523926 34.93199920654297 0.0
942.0 5.006999969482422 34.93199920654297 0.0
944.0 5.00600004196167 34.93199920654297 0.0
946.0 5.004000186920166 34.93299865722656 0.0
948.0 5.001999855041504 34.933998107910156 0.0
950.0 5.0 34.933998107910156 0.0
952.0 4.998000144958496 34.933998107910156 0.0
954.0 4.995999813079834 34.93299865722656 0.0
956.0 4.99399995803833 34.93299865722656 0.0

In total, there are 479 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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