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Dataset Title:  "Deepwater CTD - 03260932.ctd.nc - 27.64N, -85.5W - 1979-04-29" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260932_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: 451)
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   451 options
    temperature ?  =  degree_C   445 options
    salinity ?  =  PSU   280 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 23.347999572753906 36.24399948120117 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 23.347999572753906 36.24399948120117 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 23.343000411987305 36.24599838256836 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 23.3439998626709 36.24700164794922 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 23.347000122070312 36.24599838256836 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 23.349000930786133 36.24700164794922 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 23.350000381469727 36.24700164794922 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 23.350000381469727 36.24700164794922 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 23.34600067138672 36.24599838256836 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 23.336999893188477 36.24599838256836 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 23.302000045776367 36.242000579833984 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 23.207000732421875 36.22600173950195 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 23.159000396728516 36.23099899291992 0.0
26.0 23.125 36.242000579833984 0.0
28.0 23.094999313354492 36.25299835205078 0.0
30.0 23.04400062561035 36.263999938964844 0.0
32.0 22.893999099731445 36.25899887084961 0.0
34.0 22.649999618530273 36.25699996948242 0.0
36.0 22.38599967956543 36.24300003051758 0.0
38.0 22.055999755859375 36.224998474121094 0.0
40.0 21.68000030517578 36.21200180053711 0.0
42.0 21.216999053955078 36.108001708984375 0.0
44.0 20.61199951171875 36.020999908447266 0.0
46.0 19.833999633789062 35.92399978637695 0.0
48.0 19.472000122070312 35.9640007019043 0.0
50.0 19.297000885009766 35.983001708984375 0.0
52.0 19.204999923706055 36.00299835205078 0.0
54.0 19.142000198364258 36.027000427246094 0.0
56.0 19.08099937438965 36.040000915527344 0.0
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60.0 19.065000534057617 36.10200119018555 0.0
62.0 19.08099937438965 36.12699890136719 0.0
64.0 19.118000030517578 36.16299819946289 0.0
66.0 19.132999420166016 36.189998626708984 0.0
68.0 19.06100082397461 36.183998107910156 0.0
70.0 18.975000381469727 36.180999755859375 0.0
72.0 18.920000076293945 36.18299865722656 0.0
74.0 18.88800048828125 36.185001373291016 0.0
76.0 18.860000610351562 36.18000030517578 0.0
78.0 18.79599952697754 36.17399978637695 0.0
80.0 18.738000869750977 36.1870002746582 0.0
82.0 18.683000564575195 36.165000915527344 0.0
84.0 18.572999954223633 36.138999938964844 0.0
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102.0 18.791000366210938 36.34600067138672 0.0
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106.0 18.673999786376953 36.382999420166016 0.0
108.0 18.636999130249023 36.361000061035156 0.0
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112.0 18.43400001525879 36.301998138427734 0.0
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600.0 7.047999858856201 34.8650016784668 1.0
602.0 7.020999908447266 34.8650016784668 1.0
604.0 6.988999843597412 34.8650016784668 1.0
606.0 6.966000080108643 34.8650016784668 1.0
608.0 6.952000141143799 34.86399841308594 1.0
610.0 6.935999870300293 34.8650016784668 1.0
612.0 6.909999847412109 34.86399841308594 1.0
614.0 6.894000053405762 34.86399841308594 1.0
616.0 6.881999969482422 34.86600112915039 1.0
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620.0 6.863999843597412 34.867000579833984 1.0
622.0 6.839000225067139 34.86800003051758 1.0
624.0 6.816999912261963 34.86600112915039 1.0
626.0 6.804999828338623 34.867000579833984 0.0
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630.0 6.775000095367432 34.869998931884766 0.0
632.0 6.765999794006348 34.87099838256836 0.0
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636.0 6.739999771118164 34.87200164794922 0.0
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640.0 6.7179999351501465 34.87200164794922 0.0
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646.0 6.691999912261963 34.87099838256836 0.0
648.0 6.690000057220459 34.87099838256836 0.0
650.0 6.685999870300293 34.869998931884766 0.0
652.0 6.675000190734863 34.86899948120117 0.0
654.0 6.664999961853027 34.869998931884766 0.0
656.0 6.659999847412109 34.869998931884766 0.0
658.0 6.6570000648498535 34.869998931884766 0.0
660.0 6.6479997634887695 34.86899948120117 0.0
662.0 6.636000156402588 34.87099838256836 0.0
664.0 6.624000072479248 34.87099838256836 0.0
666.0 6.6020002365112305 34.86899948120117 0.0
668.0 6.580999851226807 34.86600112915039 0.0
670.0 6.559999942779541 34.867000579833984 0.0
672.0 6.558000087738037 34.86899948120117 0.0
674.0 6.547999858856201 34.86800003051758 0.0
676.0 6.5279998779296875 34.86800003051758 0.0
678.0 6.513000011444092 34.86899948120117 0.0
680.0 6.497000217437744 34.869998931884766 0.0
682.0 6.480000019073486 34.86800003051758 0.0
684.0 6.468999862670898 34.867000579833984 0.0
686.0 6.459000110626221 34.86600112915039 0.0
688.0 6.443999767303467 34.862998962402344 0.0
690.0 6.428999900817871 34.86199951171875 0.0
692.0 6.4070000648498535 34.86000061035156 0.0
694.0 6.382999897003174 34.861000061035156 0.0
696.0 6.360000133514404 34.8650016784668 0.0
698.0 6.3420000076293945 34.86600112915039 0.0
700.0 6.318999767303467 34.8650016784668 0.0
702.0 6.289999961853027 34.86399841308594 0.0
704.0 6.267000198364258 34.8650016784668 0.0
706.0 6.242000102996826 34.86600112915039 0.0
708.0 6.228000164031982 34.869998931884766 0.0
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714.0 6.2170000076293945 34.86800003051758 0.0
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718.0 6.198999881744385 34.86600112915039 0.0
720.0 6.190000057220459 34.86800003051758 0.0
722.0 6.177999973297119 34.86899948120117 0.0
724.0 6.166999816894531 34.869998931884766 0.0
726.0 6.1529998779296875 34.87099838256836 1.0
728.0 6.135000228881836 34.87200164794922 0.0
730.0 6.117000102996826 34.87300109863281 0.0
732.0 6.1020002365112305 34.874000549316406 0.0
734.0 6.090000152587891 34.874000549316406 0.0
736.0 6.084000110626221 34.874000549316406 0.0
738.0 6.079999923706055 34.87699890136719 0.0
740.0 6.072000026702881 34.875999450683594 0.0
742.0 6.064000129699707 34.875 0.0
744.0 6.056000232696533 34.875999450683594 0.0
746.0 6.045000076293945 34.87799835205078 0.0
748.0 6.035999774932861 34.87799835205078 1.0
750.0 6.031000137329102 34.87699890136719 0.0
752.0 6.02400016784668 34.87900161743164 0.0
754.0 6.014999866485596 34.87900161743164 0.0
756.0 6.010000228881836 34.880001068115234 0.0
758.0 6.006999969482422 34.880001068115234 0.0
760.0 6.002999782562256 34.880001068115234 0.0
762.0 5.997000217437744 34.87900161743164 0.0
764.0 5.988999843597412 34.87900161743164 0.0
766.0 5.984000205993652 34.880001068115234 0.0
768.0 5.98199987411499 34.88100051879883 0.0
770.0 5.979000091552734 34.88199996948242 0.0
772.0 5.97599983215332 34.88199996948242 0.0
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776.0 5.9730000495910645 34.88100051879883 0.0
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780.0 5.954999923706055 34.88100051879883 0.0
782.0 5.942999839782715 34.88199996948242 0.0
784.0 5.932000160217285 34.882999420166016 0.0
786.0 5.923999786376953 34.88199996948242 0.0
788.0 5.915999889373779 34.88199996948242 0.0
790.0 5.914000034332275 34.88100051879883 0.0
792.0 5.909999847412109 34.88199996948242 0.0
794.0 5.9039998054504395 34.88399887084961 0.0
796.0 5.896999835968018 34.8849983215332 0.0
798.0 5.889999866485596 34.887001037597656 0.0
800.0 5.886000156402588 34.887001037597656 0.0
802.0 5.882999897003174 34.887001037597656 0.0
804.0 5.877999782562256 34.8849983215332 0.0
806.0 5.869999885559082 34.88600158691406 0.0
808.0 5.863999843597412 34.887001037597656 0.0
810.0 5.857999801635742 34.887001037597656 0.0
812.0 5.853000164031982 34.887001037597656 0.0
814.0 5.8460001945495605 34.88600158691406 0.0
816.0 5.839000225067139 34.88600158691406 0.0
818.0 5.835999965667725 34.887001037597656 0.0
820.0 5.828999996185303 34.88800048828125 0.0
822.0 5.821000099182129 34.88800048828125 0.0
824.0 5.816999912261963 34.88800048828125 0.0
826.0 5.813000202178955 34.887001037597656 0.0
828.0 5.809000015258789 34.88800048828125 0.0
830.0 5.804999828338623 34.887001037597656 0.0
832.0 5.802000045776367 34.888999938964844 0.0
834.0 5.797999858856201 34.888999938964844 0.0
836.0 5.791999816894531 34.888999938964844 0.0
838.0 5.784999847412109 34.88999938964844 0.0
840.0 5.7789998054504395 34.88999938964844 0.0
842.0 5.770999908447266 34.88999938964844 0.0
844.0 5.761000156402588 34.891998291015625 0.0
846.0 5.751999855041504 34.893001556396484 0.0
848.0 5.743000030517578 34.89500045776367 0.0
850.0 5.736999988555908 34.89400100708008 0.0
852.0 5.729000091552734 34.893001556396484 0.0
854.0 5.7230000495910645 34.89400100708008 0.0
856.0 5.7179999351501465 34.89500045776367 0.0
858.0 5.7129998207092285 34.89500045776367 0.0
860.0 5.706999778747559 34.89400100708008 0.0
862.0 5.699999809265137 34.89400100708008 0.0
864.0 5.695000171661377 34.89400100708008 0.0
866.0 5.691999912261963 34.89400100708008 0.0
868.0 5.690999984741211 34.89500045776367 0.0
870.0 5.691999912261963 34.895999908447266 0.0
872.0 5.690000057220459 34.89699935913086 0.0
874.0 5.688000202178955 34.895999908447266 0.0
876.0 5.682000160217285 34.89500045776367 0.0
878.0 5.672999858856201 34.895999908447266 0.0
880.0 5.6620001792907715 34.89699935913086 0.0
882.0 5.650000095367432 34.89699935913086 0.0
884.0 5.636000156402588 34.895999908447266 0.0
886.0 5.625 34.89699935913086 0.0
888.0 5.616000175476074 34.89799880981445 0.0
890.0 5.609000205993652 34.89899826049805 0.0
892.0 5.604000091552734 34.900001525878906 0.0
894.0 5.603000164031982 34.900001525878906 0.0
896.0 5.598999977111816 34.89799880981445 0.0
898.0 5.5960001945495605 34.89899826049805 0.0
900.0 5.5929999351501465 34.89899826049805 0.0

In total, there are 451 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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