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Dataset Title:  "Deepwater CTD - 03260503.ctd.nc - 24.99N, -85.39W - 1979-03-28" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_03260503_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: 331)
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   331 options
    temperature ?  =  degree_C   316 options
    salinity ?  =  PSU   273 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 25.617000579833984 36.2239990234375 4.579999923706055 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.20000000298023224 -99.0 0.0
2.0 25.617000579833984 36.2239990234375 4.670000076293945 -99.98999786376953 0.10000000149011612 0.009999999776482582 0.699999988079071 -99.0 0.0
4.0 25.624000549316406 36.2239990234375 4.980000019073486 -99.98999786376953 -99.98999786376953 0.019999999552965164 0.8999999761581421 -99.0 0.0
6.0 25.631999969482422 36.222999572753906 4.840000152587891 0.3199999928474426 0.30000001192092896 0.05000000074505806 1.2000000476837158 -99.0 0.0
8.0 25.635000228881836 36.2239990234375 3.640000104904175 0.5199999809265137 3.799999952316284 0.20000000298023224 1.5 -99.0 0.0
10.0 25.636999130249023 36.222999572753906 3.3499999046325684 0.3199999928474426 6.300000190734863 0.3199999928474426 1.7999999523162842 -99.0 0.0
12.0 25.636999130249023 36.222999572753906 3.1500000953674316 0.2199999988079071 9.600000381469727 0.5 2.5 -99.0 0.0
14.0 25.63800048828125 36.222999572753906 2.9800000190734863 0.11999999731779099 15.399999618530273 0.7900000214576721 4.0 -99.0 0.0
16.0 25.63800048828125 36.222999572753906 2.940000057220459 0.11999999731779099 20.399999618530273 1.090000033378601 6.400000095367432 -99.0 0.0
18.0 25.63599967956543 36.222999572753906 2.7899999618530273 0.7200000286102295 24.600000381469727 1.440000057220459 13.5 -99.0 0.0
20.0 25.635000228881836 36.2239990234375 2.609999895095825 -99.98999786376953 27.200000762939453 1.590000033378601 12.5 -99.0 0.0
22.0 25.63599967956543 36.222999572753906 2.7699999809265137 0.2199999988079071 25.899999618530273 1.5499999523162842 13.0 -99.0 0.0
24.0 25.639999389648438 36.222999572753906 0.0
26.0 25.641000747680664 36.222999572753906 0.0
28.0 25.642000198364258 36.222999572753906 0.0
30.0 25.638999938964844 36.222999572753906 0.0
32.0 25.639999389648438 36.222999572753906 0.0
34.0 25.642000198364258 36.222999572753906 0.0
36.0 25.643999099731445 36.2239990234375 0.0
38.0 25.643999099731445 36.222999572753906 0.0
40.0 25.642000198364258 36.2239990234375 0.0
42.0 25.63599967956543 36.222999572753906 0.0
44.0 25.632999420166016 36.22200012207031 0.0
46.0 25.63599967956543 36.224998474121094 0.0
48.0 25.631000518798828 36.222999572753906 0.0
50.0 25.625999450683594 36.22200012207031 0.0
52.0 25.618000030517578 36.220001220703125 0.0
54.0 25.610000610351562 36.220001220703125 0.0
56.0 25.604000091552734 36.21900177001953 0.0
58.0 25.599000930786133 36.21799850463867 0.0
60.0 25.59000015258789 36.21799850463867 0.0
62.0 25.572999954223633 36.21699905395508 0.0
64.0 25.54400062561035 36.21799850463867 0.0
66.0 25.511999130249023 36.21799850463867 0.0
68.0 25.476999282836914 36.22100067138672 0.0
70.0 25.43400001525879 36.23099899291992 0.0
72.0 25.395999908447266 36.25600051879883 0.0
74.0 25.336999893188477 36.28499984741211 0.0
76.0 25.233999252319336 36.33599853515625 0.0
78.0 25.11400032043457 36.38999938964844 0.0
80.0 24.975000381469727 36.46200180053711 0.0
82.0 24.84600067138672 36.53499984741211 0.0
84.0 24.714000701904297 36.61000061035156 0.0
86.0 24.490999221801758 36.65399932861328 0.0
88.0 24.243000030517578 36.683998107910156 0.0
90.0 23.996999740600586 36.71900177001953 0.0
92.0 23.801000595092773 36.75 0.0
94.0 23.667999267578125 36.75899887084961 0.0
96.0 23.54800033569336 36.77000045776367 0.0
98.0 23.409000396728516 36.77899932861328 0.0
100.0 23.274999618530273 36.79399871826172 0.0
102.0 23.104000091552734 36.8129997253418 0.0
104.0 22.975000381469727 36.81399917602539 0.0
106.0 22.83099937438965 36.821998596191406 0.0
108.0 22.716999053955078 36.81999969482422 0.0
110.0 22.589000701904297 36.8390007019043 0.0
112.0 22.451000213623047 36.832000732421875 0.0
114.0 22.30699920654297 36.82500076293945 0.0
116.0 22.12299919128418 36.8120002746582 0.0
118.0 21.948999404907227 36.801998138427734 0.0
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128.0 21.47599983215332 36.82600021362305 0.0
130.0 21.378999710083008 36.82400131225586 0.0
132.0 21.284000396728516 36.80799865722656 0.0
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136.0 20.892000198364258 36.691001892089844 0.0
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232.0 16.25 36.159000396728516 0.0
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254.0 15.715999603271484 36.10499954223633 1.0
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258.0 15.593999862670898 36.09400177001953 1.0
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278.0 14.913999557495117 35.97800064086914 1.0
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314.0 13.972000122070312 35.821998596191406 1.0
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596.0 7.855000019073486 34.95100021362305 0.0
598.0 7.8480000495910645 34.94900131225586 0.0
600.0 7.833000183105469 34.948001861572266 0.0
602.0 7.815000057220459 34.94599914550781 0.0
604.0 7.806000232696533 34.94499969482422 0.0
606.0 7.801000118255615 34.948001861572266 0.0
608.0 7.795000076293945 34.95100021362305 0.0
610.0 7.790999889373779 34.94599914550781 0.0
612.0 7.784999847412109 34.941001892089844 0.0
614.0 7.78000020980835 34.94200134277344 0.0
616.0 7.763999938964844 34.944000244140625 0.0
618.0 7.724999904632568 34.93899917602539 0.0
620.0 7.676000118255615 34.93600082397461 0.0
622.0 7.645999908447266 34.930999755859375 0.0
624.0 7.63100004196167 34.928001403808594 0.0
626.0 7.617000102996826 34.926998138427734 0.0
628.0 7.607999801635742 34.926998138427734 0.0
630.0 7.5970001220703125 34.926998138427734 0.0
632.0 7.585999965667725 34.926998138427734 0.0
634.0 7.576000213623047 34.92599868774414 0.0
636.0 7.548999786376953 34.92399978637695 0.0
638.0 7.517000198364258 34.91999816894531 0.0
640.0 7.474999904632568 34.915000915527344 0.0
642.0 7.446000099182129 34.915000915527344 0.0
644.0 7.419000148773193 34.91299819946289 0.0
646.0 7.357999801635742 34.90599822998047 0.0
648.0 7.295000076293945 34.902000427246094 0.0
650.0 7.255000114440918 34.902000427246094 0.0
652.0 7.2210001945495605 34.902000427246094 0.0
654.0 7.192999839782715 34.9010009765625 0.0
656.0 7.160999774932861 34.89799880981445 0.0
658.0 7.120999813079834 34.893001556396484 0.0
660.0 7.089000225067139 34.89400100708008 0.0

In total, there are 331 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.


 
ERDDAP, Version 2.23
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