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Dataset Title:  "Deepwater CTD - 03260514.ctd.nc - 25.81N, -85.03W - 1979-03-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260514_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: 459)
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   459 options
    temperature ?  =  degree_C   439 options
    salinity ?  =  PSU   301 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 25.631000518798828 36.215999603271484 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 25.631000518798828 36.215999603271484 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 25.636999130249023 36.21500015258789 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 25.632999420166016 36.21500015258789 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 25.632999420166016 36.21699905395508 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 25.64299964904785 36.21500015258789 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 25.645000457763672 36.21500015258789 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 25.645999908447266 36.21500015258789 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 25.64699935913086 36.21500015258789 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 25.64699935913086 36.21500015258789 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 25.645999908447266 36.215999603271484 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 25.643999099731445 36.215999603271484 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 25.64699935913086 36.21500015258789 0.0
26.0 25.650999069213867 36.2140007019043 0.0
28.0 25.64900016784668 36.21500015258789 0.0
30.0 25.648000717163086 36.215999603271484 0.0
32.0 25.650999069213867 36.21699905395508 0.0
34.0 25.650999069213867 36.215999603271484 0.0
36.0 25.650999069213867 36.215999603271484 0.0
38.0 25.65399932861328 36.215999603271484 0.0
40.0 25.652000427246094 36.21699905395508 0.0
42.0 25.649999618530273 36.21699905395508 0.0
44.0 25.652000427246094 36.21699905395508 0.0
46.0 25.652999877929688 36.215999603271484 0.0
48.0 25.652999877929688 36.215999603271484 0.0
50.0 25.655000686645508 36.215999603271484 0.0
52.0 25.6560001373291 36.215999603271484 0.0
54.0 25.655000686645508 36.215999603271484 0.0
56.0 25.65399932861328 36.215999603271484 0.0
58.0 25.65399932861328 36.215999603271484 0.0
60.0 25.655000686645508 36.215999603271484 0.0
62.0 25.655000686645508 36.21699905395508 0.0
64.0 25.656999588012695 36.21699905395508 0.0
66.0 25.652999877929688 36.21900177001953 0.0
68.0 25.590999603271484 36.2400016784668 0.0
70.0 25.5 36.270999908447266 0.0
72.0 25.33099937438965 36.31800079345703 0.0
74.0 25.176000595092773 36.34700012207031 0.0
76.0 24.934999465942383 36.3380012512207 0.0
78.0 24.69300079345703 36.32600021362305 0.0
80.0 24.49799919128418 36.33399963378906 0.0
82.0 24.363000869750977 36.36000061035156 0.0
84.0 24.26099967956543 36.393001556396484 0.0
86.0 24.055999755859375 36.433998107910156 0.0
88.0 23.881000518798828 36.44599914550781 0.0
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94.0 23.58799934387207 36.483001708984375 0.0
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102.0 22.88800048828125 36.60900115966797 0.0
104.0 22.636999130249023 36.60100173950195 0.0
106.0 22.267000198364258 36.55799865722656 0.0
108.0 21.68199920654297 36.46099853515625 0.0
110.0 21.399999618530273 36.42900085449219 0.0
112.0 21.336000442504883 36.42900085449219 0.0
114.0 21.291000366210938 36.433998107910156 0.0
116.0 21.270999908447266 36.45000076293945 0.0
118.0 21.233999252319336 36.446998596191406 0.0
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224.0 16.719999313354492 36.26900100708008 1.0
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272.0 14.996999740600586 35.9900016784668 1.0
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602.0 8.130000114440918 34.970001220703125 0.0
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612.0 7.961999893188477 34.96200180053711 0.0
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616.0 7.894999980926514 34.952999114990234 0.0
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620.0 7.796000003814697 34.9370002746582 0.0
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626.0 7.696000099182129 34.926998138427734 0.0
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630.0 7.671000003814697 34.92900085449219 0.0
632.0 7.6479997634887695 34.926998138427734 0.0
634.0 7.6020002365112305 34.922000885009766 0.0
636.0 7.560999870300293 34.91699981689453 0.0
638.0 7.513000011444092 34.9109992980957 0.0
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656.0 7.196000099182129 34.895999908447266 0.0
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660.0 7.176000118255615 34.89099884033203 0.0
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666.0 7.171999931335449 34.88999938964844 0.0
668.0 7.165999889373779 34.88999938964844 0.0
670.0 7.139999866485596 34.888999938964844 0.0
672.0 7.117000102996826 34.89099884033203 0.0
674.0 7.10699987411499 34.89099884033203 0.0
676.0 7.098999977111816 34.891998291015625 0.0
678.0 7.093999862670898 34.891998291015625 0.0
680.0 7.081999778747559 34.88999938964844 0.0
682.0 7.066999912261963 34.887001037597656 0.0
684.0 7.052999973297119 34.88800048828125 0.0
686.0 7.035999774932861 34.888999938964844 0.0
688.0 7.0 34.887001037597656 0.0
690.0 6.965000152587891 34.88399887084961 0.0
692.0 6.947000026702881 34.88600158691406 0.0
694.0 6.929999828338623 34.88999938964844 0.0
696.0 6.908999919891357 34.891998291015625 0.0
698.0 6.888999938964844 34.89400100708008 0.0
700.0 6.873000144958496 34.88999938964844 0.0
702.0 6.855999946594238 34.88600158691406 0.0
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708.0 6.815000057220459 34.88600158691406 0.0
710.0 6.802000045776367 34.88600158691406 0.0
712.0 6.784999847412109 34.8849983215332 0.0
714.0 6.756999969482422 34.88399887084961 0.0
716.0 6.732999801635742 34.8849983215332 0.0
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720.0 6.670000076293945 34.87799835205078 0.0
722.0 6.6529998779296875 34.87699890136719 0.0
724.0 6.644000053405762 34.87900161743164 0.0
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730.0 6.572000026702881 34.87699890136719 0.0
732.0 6.541999816894531 34.87799835205078 0.0
734.0 6.515999794006348 34.87900161743164 0.0
736.0 6.508999824523926 34.88399887084961 0.0
738.0 6.498000144958496 34.882999420166016 0.0
740.0 6.478000164031982 34.880001068115234 0.0
742.0 6.456999778747559 34.87900161743164 0.0
744.0 6.422999858856201 34.880001068115234 0.0
746.0 6.381999969482422 34.87799835205078 0.0
748.0 6.355000019073486 34.87799835205078 0.0
750.0 6.333000183105469 34.87799835205078 0.0
752.0 6.316999912261963 34.87699890136719 0.0
754.0 6.303999900817871 34.87699890136719 0.0
756.0 6.293000221252441 34.880001068115234 0.0
758.0 6.2789998054504395 34.88100051879883 0.0
760.0 6.260000228881836 34.88199996948242 0.0
762.0 6.245999813079834 34.88199996948242 0.0
764.0 6.23799991607666 34.88199996948242 0.0
766.0 6.236000061035156 34.88199996948242 0.0
768.0 6.236999988555908 34.88100051879883 0.0
770.0 6.23799991607666 34.88199996948242 0.0
772.0 6.236999988555908 34.882999420166016 0.0
774.0 6.235000133514404 34.8849983215332 0.0
776.0 6.223999977111816 34.8849983215332 0.0
778.0 6.2129998207092285 34.88399887084961 0.0
780.0 6.205999851226807 34.88600158691406 0.0
782.0 6.177999973297119 34.887001037597656 0.0
784.0 6.142000198364258 34.88800048828125 0.0
786.0 6.114999771118164 34.88600158691406 0.0
788.0 6.107999801635742 34.887001037597656 0.0
790.0 6.1020002365112305 34.887001037597656 0.0
792.0 6.0960001945495605 34.887001037597656 0.0
794.0 6.090000152587891 34.887001037597656 0.0
796.0 6.086999893188477 34.88800048828125 0.0
798.0 6.085999965667725 34.888999938964844 0.0
800.0 6.085999965667725 34.88800048828125 0.0
802.0 6.084000110626221 34.88800048828125 0.0
804.0 6.078999996185303 34.888999938964844 0.0
806.0 6.068999767303467 34.888999938964844 0.0
808.0 6.059999942779541 34.888999938964844 0.0
810.0 6.050000190734863 34.888999938964844 0.0
812.0 6.033999919891357 34.88999938964844 0.0
814.0 6.015999794006348 34.89099884033203 0.0
816.0 5.992000102996826 34.891998291015625 0.0
818.0 5.965000152587891 34.891998291015625 0.0
820.0 5.940000057220459 34.88999938964844 0.0
822.0 5.918000221252441 34.89099884033203 0.0
824.0 5.910999774932861 34.89099884033203 0.0
826.0 5.901000022888184 34.891998291015625 0.0
828.0 5.880000114440918 34.89400100708008 0.0
830.0 5.864999771118164 34.893001556396484 0.0
832.0 5.857999801635742 34.89400100708008 0.0
834.0 5.848999977111816 34.89500045776367 0.0
836.0 5.841000080108643 34.89500045776367 0.0
838.0 5.833000183105469 34.89500045776367 0.0
840.0 5.820000171661377 34.89500045776367 0.0
842.0 5.806000232696533 34.89500045776367 0.0
844.0 5.788000106811523 34.89799880981445 0.0
846.0 5.769000053405762 34.89899826049805 0.0
848.0 5.752999782562256 34.900001525878906 0.0
850.0 5.742000102996826 34.900001525878906 0.0
852.0 5.736999988555908 34.902000427246094 0.0
854.0 5.730000019073486 34.90399932861328 0.0
856.0 5.703999996185303 34.90399932861328 0.0
858.0 5.681000232696533 34.904998779296875 0.0
860.0 5.668000221252441 34.90399932861328 0.0
862.0 5.6570000648498535 34.90399932861328 0.0
864.0 5.650000095367432 34.90599822998047 0.0
866.0 5.645999908447266 34.90700149536133 0.0
868.0 5.64300012588501 34.90800094604492 1.0
870.0 5.638999938964844 34.90800094604492 1.0
872.0 5.631999969482422 34.90700149536133 0.0
874.0 5.625 34.90599822998047 0.0
876.0 5.616000175476074 34.90800094604492 0.0
878.0 5.603000164031982 34.90800094604492 0.0
880.0 5.589000225067139 34.90800094604492 0.0
882.0 5.578999996185303 34.90800094604492 0.0
884.0 5.571000099182129 34.90800094604492 0.0
886.0 5.565000057220459 34.909000396728516 0.0
888.0 5.556000232696533 34.909000396728516 0.0
890.0 5.546999931335449 34.909000396728516 0.0
892.0 5.539000034332275 34.90999984741211 0.0
894.0 5.531000137329102 34.9109992980957 0.0
896.0 5.525000095367432 34.9109992980957 0.0
898.0 5.520999908447266 34.9109992980957 0.0
900.0 5.517000198364258 34.9119987487793 0.0
902.0 5.51200008392334 34.91299819946289 1.0
904.0 5.510000228881836 34.91600036621094 1.0
906.0 5.50600004196167 34.91299819946289 1.0
908.0 5.504000186920166 34.90999984741211 0.0
910.0 5.5 34.9109992980957 0.0
912.0 5.489999771118164 34.9119987487793 0.0
914.0 5.479000091552734 34.91299819946289 0.0
916.0 5.473999977111816 34.91400146484375 0.0

In total, there are 459 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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