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Dataset Title:  "Deepwater CTD - 03260000.ctd.nc - 27.63N, -85.54W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260000_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: 488)
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   488 options
    temperature ?  =  degree_C   462 options
    salinity ?  =  PSU   266 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 20.643999099731445 36.43199920654297 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.643999099731445 36.43199920654297 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.648000717163086 36.439998626708984 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.64699935913086 36.441001892089844 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.645000457763672 36.439998626708984 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.64299964904785 36.4379997253418 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.634000778198242 36.4379997253418 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.591999053955078 36.435001373291016 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.479999542236328 36.452999114990234 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.368999481201172 36.47200012207031 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.312000274658203 36.470001220703125 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.274999618530273 36.470001220703125 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.238000869750977 36.46799850463867 0.0
26.0 20.2189998626709 36.46799850463867 0.0
28.0 20.204999923706055 36.46799850463867 0.0
30.0 20.195999145507812 36.46900177001953 0.0
32.0 20.191999435424805 36.470001220703125 0.0
34.0 20.187999725341797 36.46699905395508 0.0
36.0 20.183000564575195 36.46799850463867 0.0
38.0 20.179000854492188 36.47200012207031 0.0
40.0 20.174999237060547 36.472999572753906 0.0
42.0 20.172000885009766 36.47100067138672 0.0
44.0 20.16900062561035 36.46900177001953 0.0
46.0 20.16900062561035 36.47100067138672 0.0
48.0 20.167999267578125 36.47200012207031 0.0
50.0 20.16699981689453 36.472999572753906 0.0
52.0 20.163999557495117 36.47600173950195 0.0
54.0 20.16200065612793 36.474998474121094 0.0
56.0 20.158000946044922 36.4739990234375 0.0
58.0 20.15399932861328 36.47600173950195 0.0
60.0 20.145999908447266 36.474998474121094 0.0
62.0 20.128999710083008 36.47999954223633 0.0
64.0 20.08799934387207 36.48099899291992 0.0
66.0 20.003000259399414 36.499000549316406 0.0
68.0 19.82900047302246 36.51900100708008 0.0
70.0 19.64900016784668 36.5369987487793 0.0
72.0 19.458999633789062 36.53499984741211 0.0
74.0 19.327999114990234 36.5620002746582 0.0
76.0 19.163000106811523 36.56800079345703 0.0
78.0 19.02199935913086 36.55500030517578 0.0
80.0 18.923999786376953 36.540000915527344 0.0
82.0 18.833999633789062 36.525001525878906 0.0
84.0 18.704999923706055 36.516998291015625 0.0
86.0 18.565000534057617 36.50600051879883 0.0
88.0 18.46299934387207 36.49700164794922 0.0
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92.0 18.229000091552734 36.483001708984375 0.0
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96.0 17.964000701904297 36.446998596191406 0.0
98.0 17.816999435424805 36.40700149536133 0.0
100.0 17.767000198364258 36.4010009765625 0.0
102.0 17.72100067138672 36.417999267578125 0.0
104.0 17.624000549316406 36.42599868774414 0.0
106.0 17.499000549316406 36.40800094604492 0.0
108.0 17.39699935913086 36.3849983215332 0.0
110.0 17.266000747680664 36.36000061035156 0.0
112.0 17.134000778198242 36.34299850463867 0.0
114.0 17.02199935913086 36.33399963378906 0.0
116.0 16.937999725341797 36.323001861572266 1.0
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122.0 16.638999938964844 36.2760009765625 1.0
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128.0 16.44700050354004 36.25 1.0
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132.0 16.183000564575195 36.198001861572266 1.0
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136.0 16.083999633789062 36.17599868774414 1.0
138.0 16.014999389648438 36.165000915527344 1.0
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202.0 14.031999588012695 35.84700012207031 1.0
204.0 13.9399995803833 35.83599853515625 1.0
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264.0 12.0 35.50699996948242 0.0
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270.0 11.767000198364258 35.46699905395508 0.0
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824.0 5.370999813079834 34.91400146484375 0.0
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900.0 5.081999778747559 34.928001403808594 0.0
902.0 5.067999839782715 34.92900085449219 0.0
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916.0 5.019000053405762 34.93299865722656 0.0
918.0 5.013000011444092 34.933998107910156 0.0
920.0 5.00600004196167 34.93299865722656 0.0
922.0 5.0 34.93299865722656 0.0
924.0 4.997000217437744 34.93299865722656 0.0
926.0 4.993000030517578 34.93299865722656 0.0
928.0 4.989999771118164 34.933998107910156 0.0
930.0 4.98799991607666 34.933998107910156 0.0
932.0 4.986000061035156 34.933998107910156 0.0
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936.0 4.984000205993652 34.93299865722656 0.0
938.0 4.984000205993652 34.93299865722656 0.0
940.0 4.985000133514404 34.93299865722656 0.0
942.0 4.986000061035156 34.933998107910156 0.0
944.0 4.986000061035156 34.933998107910156 0.0
946.0 4.986000061035156 34.93299865722656 0.0
948.0 4.985000133514404 34.93299865722656 0.0
950.0 4.985000133514404 34.933998107910156 0.0
952.0 4.985000133514404 34.933998107910156 0.0
954.0 4.985000133514404 34.933998107910156 0.0
956.0 4.985000133514404 34.93299865722656 0.0
958.0 4.985000133514404 34.935001373291016 0.0
960.0 4.986000061035156 34.933998107910156 0.0
962.0 4.986000061035156 34.93299865722656 0.0
964.0 4.986000061035156 34.933998107910156 0.0
966.0 4.986000061035156 34.933998107910156 0.0
968.0 4.986000061035156 34.933998107910156 0.0
970.0 4.986000061035156 34.933998107910156 0.0
972.0 4.986000061035156 34.93600082397461 0.0
974.0 4.986999988555908 34.9370002746582 1.0

In total, there are 488 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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