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Dataset Title:  "Deepwater CTD - 03259998.ctd.nc - 27.61N, -85.53W - 1979-02-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03259998_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   475 options
    salinity ?  =  PSU   261 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 20.46299934387207 36.45100021362305 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 20.46299934387207 36.45100021362305 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 20.475000381469727 36.45399856567383 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 20.48699951171875 36.45800018310547 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 20.496999740600586 36.46099853515625 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 20.4950008392334 36.4630012512207 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 20.490999221801758 36.46200180053711 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 20.493000030517578 36.4640007019043 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 20.492000579833984 36.4630012512207 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 20.490999221801758 36.46200180053711 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 20.47100067138672 36.459999084472656 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 20.395000457763672 36.457000732421875 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 20.29199981689453 36.4640007019043 0.0
26.0 20.266000747680664 36.46699905395508 0.0
28.0 20.253999710083008 36.46799850463867 0.0
30.0 20.246999740600586 36.46799850463867 0.0
32.0 20.23900032043457 36.46799850463867 0.0
34.0 20.235000610351562 36.46900177001953 0.0
36.0 20.232999801635742 36.470001220703125 0.0
38.0 20.232999801635742 36.47100067138672 0.0
40.0 20.229999542236328 36.47100067138672 0.0
42.0 20.22800064086914 36.47600173950195 0.0
44.0 20.231000900268555 36.47800064086914 0.0
46.0 20.229999542236328 36.47700119018555 0.0
48.0 20.22599983215332 36.47700119018555 0.0
50.0 20.21500015258789 36.47200012207031 0.0
52.0 20.207000732421875 36.47100067138672 0.0
54.0 20.20599937438965 36.472999572753906 0.0
56.0 20.204999923706055 36.4739990234375 0.0
58.0 20.20800018310547 36.474998474121094 0.0
60.0 20.204999923706055 36.47600173950195 0.0
62.0 20.19700050354004 36.47700119018555 0.0
64.0 20.18199920654297 36.47600173950195 0.0
66.0 20.155000686645508 36.4739990234375 0.0
68.0 20.054000854492188 36.47100067138672 0.0
70.0 19.93000030517578 36.47100067138672 0.0
72.0 19.878000259399414 36.47200012207031 0.0
74.0 19.672000885009766 36.45399856567383 0.0
76.0 19.409000396728516 36.472999572753906 0.0
78.0 19.238000869750977 36.505001068115234 0.0
80.0 19.05699920654297 36.494998931884766 0.0
82.0 18.895000457763672 36.49399948120117 0.0
84.0 18.77400016784668 36.48099899291992 0.0
86.0 18.618999481201172 36.465999603271484 0.0
88.0 18.5049991607666 36.46200180053711 0.0
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92.0 18.233999252319336 36.41600036621094 0.0
94.0 18.0310001373291 36.387001037597656 0.0
96.0 17.875 36.36600112915039 0.0
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102.0 17.476999282836914 36.33300018310547 0.0
104.0 17.381999969482422 36.334999084472656 0.0
106.0 17.319000244140625 36.32099914550781 0.0
108.0 17.15399932861328 36.27799987792969 0.0
110.0 16.986000061035156 36.27299880981445 0.0
112.0 16.929000854492188 36.2869987487793 0.0
114.0 16.87700080871582 36.28200149536133 0.0
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136.0 16.045000076293945 36.141998291015625 0.0
138.0 15.961000442504883 36.125 0.0
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734.0 5.757999897003174 34.895999908447266 0.0
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740.0 5.75 34.89400100708008 0.0
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750.0 5.684000015258789 34.89799880981445 0.0
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804.0 5.459000110626221 34.90800094604492 0.0
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814.0 5.418000221252441 34.90999984741211 0.0
816.0 5.4079999923706055 34.90999984741211 0.0
818.0 5.400000095367432 34.9119987487793 0.0
820.0 5.392000198364258 34.90999984741211 0.0
822.0 5.38100004196167 34.9109992980957 0.0
824.0 5.36899995803833 34.9119987487793 0.0
826.0 5.36299991607666 34.91299819946289 0.0
828.0 5.353000164031982 34.91400146484375 0.0
830.0 5.335999965667725 34.91400146484375 0.0
832.0 5.322999954223633 34.91400146484375 0.0
834.0 5.311999797821045 34.915000915527344 0.0
836.0 5.302999973297119 34.91699981689453 0.0
838.0 5.297999858856201 34.91699981689453 0.0
840.0 5.291999816894531 34.91699981689453 0.0
842.0 5.289999961853027 34.91699981689453 0.0
844.0 5.283999919891357 34.917999267578125 0.0
846.0 5.275000095367432 34.91899871826172 0.0
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850.0 5.256999969482422 34.91899871826172 0.0
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856.0 5.2210001945495605 34.92100143432617 0.0
858.0 5.210000038146973 34.92100143432617 0.0
860.0 5.198999881744385 34.922000885009766 0.0
862.0 5.192999839782715 34.92300033569336 0.0
864.0 5.190999984741211 34.92300033569336 0.0
866.0 5.189000129699707 34.92300033569336 0.0
868.0 5.188000202178955 34.922000885009766 0.0
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878.0 5.144999980926514 34.92499923706055 0.0
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882.0 5.125 34.926998138427734 0.0
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886.0 5.103000164031982 34.926998138427734 0.0
888.0 5.0960001945495605 34.928001403808594 0.0
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892.0 5.090000152587891 34.92900085449219 0.0
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896.0 5.084000110626221 34.92900085449219 0.0
898.0 5.077000141143799 34.92900085449219 0.0
900.0 5.066999912261963 34.928001403808594 0.0
902.0 5.056000232696533 34.93000030517578 0.0
904.0 5.046000003814697 34.93199920654297 0.0
906.0 5.044000148773193 34.93199920654297 0.0
908.0 5.040999889373779 34.930999755859375 0.0
910.0 5.0370001792907715 34.93199920654297 0.0
912.0 5.0320000648498535 34.93299865722656 0.0
914.0 5.0279998779296875 34.93299865722656 0.0
916.0 5.025000095367432 34.93299865722656 0.0
918.0 5.019999980926514 34.93299865722656 0.0
920.0 5.01200008392334 34.93299865722656 0.0
922.0 5.00600004196167 34.93299865722656 0.0
924.0 5.004000186920166 34.93299865722656 0.0
926.0 5.004000186920166 34.933998107910156 0.0
928.0 5.002999782562256 34.933998107910156 0.0
930.0 5.0 34.93299865722656 0.0
932.0 4.997000217437744 34.933998107910156 0.0
934.0 4.997000217437744 34.93299865722656 0.0
936.0 4.995999813079834 34.933998107910156 0.0
938.0 4.995999813079834 34.933998107910156 0.0
940.0 4.995999813079834 34.933998107910156 0.0
942.0 4.994999885559082 34.93299865722656 0.0
944.0 4.99399995803833 34.93600082397461 1.0
946.0 4.993000030517578 34.93600082397461 1.0
948.0 4.992000102996826 34.933998107910156 0.0
950.0 4.993000030517578 34.935001373291016 0.0
952.0 4.992000102996826 34.935001373291016 0.0
954.0 4.988999843597412 34.935001373291016 0.0
956.0 4.982999801635742 34.933998107910156 0.0
958.0 4.979000091552734 34.935001373291016 0.0
960.0 4.9770002365112305 34.935001373291016 0.0
962.0 4.974999904632568 34.935001373291016 0.0
964.0 4.9730000495910645 34.93600082397461 0.0
966.0 4.9710001945495605 34.935001373291016 0.0
968.0 4.96999979019165 34.935001373291016 0.0
970.0 4.9679999351501465 34.935001373291016 0.0
972.0 4.9670000076293945 34.935001373291016 0.0
974.0 4.964000225067139 34.93600082397461 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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