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Dataset Title:  "Deepwater CTD - 03260002.ctd.nc - 27.63N, -85.54W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260002_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   461 options
    salinity ?  =  PSU   262 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 20.583999633789062 36.45000076293945 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.583999633789062 36.45000076293945 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.59000015258789 36.45100021362305 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.597000122070312 36.45100021362305 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.600000381469727 36.45000076293945 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.597999572753906 36.45000076293945 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.597999572753906 36.45100021362305 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.600000381469727 36.45100021362305 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.565000534057617 36.45600128173828 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.415000915527344 36.45899963378906 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.267000198364258 36.465999603271484 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.235000610351562 36.46900177001953 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.225000381469727 36.470001220703125 0.0
26.0 20.222000122070312 36.470001220703125 0.0
28.0 20.218000411987305 36.470001220703125 0.0
30.0 20.21500015258789 36.46900177001953 0.0
32.0 20.211999893188477 36.470001220703125 0.0
34.0 20.207000732421875 36.47100067138672 0.0
36.0 20.204999923706055 36.47200012207031 0.0
38.0 20.204999923706055 36.47200012207031 0.0
40.0 20.20400047302246 36.472999572753906 0.0
42.0 20.201000213623047 36.474998474121094 0.0
44.0 20.20199966430664 36.47600173950195 0.0
46.0 20.20199966430664 36.47700119018555 0.0
48.0 20.202999114990234 36.47800064086914 0.0
50.0 20.200000762939453 36.47800064086914 0.0
52.0 20.19700050354004 36.47800064086914 0.0
54.0 20.19300079345703 36.47800064086914 0.0
56.0 20.18600082397461 36.47600173950195 0.0
58.0 20.172000885009766 36.474998474121094 0.0
60.0 20.135000228881836 36.4739990234375 0.0
62.0 20.09600067138672 36.472999572753906 0.0
64.0 20.058000564575195 36.472999572753906 0.0
66.0 20.009000778198242 36.474998474121094 0.0
68.0 19.947999954223633 36.474998474121094 0.0
70.0 19.826000213623047 36.4739990234375 0.0
72.0 19.600000381469727 36.46799850463867 0.0
74.0 19.433000564575195 36.49399948120117 0.0
76.0 19.299999237060547 36.50600051879883 0.0
78.0 19.12299919128418 36.49399948120117 0.0
80.0 18.964000701904297 36.505001068115234 0.0
82.0 18.85700035095215 36.499000549316406 0.0
84.0 18.7450008392334 36.483001708984375 0.0
86.0 18.599000930786133 36.4640007019043 0.0
88.0 18.44700050354004 36.44499969482422 0.0
90.0 18.31399917602539 36.433998107910156 0.0
92.0 18.187000274658203 36.41400146484375 0.0
94.0 18.0049991607666 36.375 0.0
96.0 17.875999450683594 36.367000579833984 0.0
98.0 17.792999267578125 36.36800003051758 0.0
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102.0 17.584999084472656 36.36600112915039 0.0
104.0 17.47800064086914 36.361000061035156 0.0
106.0 17.395999908447266 36.349998474121094 0.0
108.0 17.26799964904785 36.32400131225586 0.0
110.0 17.100000381469727 36.29899978637695 0.0
112.0 16.9950008392334 36.29600143432617 0.0
114.0 16.947999954223633 36.297000885009766 0.0
116.0 16.875 36.27899932861328 0.0
118.0 16.804000854492188 36.26599884033203 0.0
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130.0 16.393999099731445 36.207000732421875 0.0
132.0 16.356000900268555 36.198001861572266 0.0
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136.0 16.18199920654297 36.17399978637695 1.0
138.0 16.06100082397461 36.14400100708008 0.0
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920.0 5.000999927520752 34.93199920654297 0.0
922.0 4.995999813079834 34.93299865722656 0.0
924.0 4.993000030517578 34.93299865722656 0.0
926.0 4.991000175476074 34.93199920654297 0.0
928.0 4.988999843597412 34.93199920654297 0.0
930.0 4.986000061035156 34.933998107910156 0.0
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940.0 4.986000061035156 34.933998107910156 0.0
942.0 4.986000061035156 34.933998107910156 0.0
944.0 4.985000133514404 34.933998107910156 0.0
946.0 4.985000133514404 34.933998107910156 0.0
948.0 4.985000133514404 34.933998107910156 0.0
950.0 4.986000061035156 34.93299865722656 0.0
952.0 4.986000061035156 34.93299865722656 0.0
954.0 4.986000061035156 34.935001373291016 0.0
956.0 4.986000061035156 34.93299865722656 0.0
958.0 4.986999988555908 34.933998107910156 0.0
960.0 4.986000061035156 34.933998107910156 0.0
962.0 4.986999988555908 34.933998107910156 0.0
964.0 4.986000061035156 34.933998107910156 0.0
966.0 4.986000061035156 34.933998107910156 0.0
968.0 4.986999988555908 34.93299865722656 0.0
970.0 4.986999988555908 34.93299865722656 0.0
972.0 4.986999988555908 34.933998107910156 0.0
974.0 4.98799991607666 34.933998107910156 0.0

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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