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Dataset Title:  "Deepwater CTD - pe972229.ctd.nc - 29.38N, -87.36W - 1997-03-23" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_pe972229_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: 495)
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   495 options
    temperature ?  =  degree_C   474 options
    salinity ?  =  PSU   408 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 options
    qualityFlag ?  =  1 option: 0.0

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
4.0 20.96299934387207 35.573001861572266 4.590000152587891 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 20.961999893188477 35.665000915527344 4.619999885559082 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
6.0 20.966999053955078 35.665000915527344 4.630000114440918 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
7.0 20.954999923706055 35.66600036621094 4.630000114440918 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
8.0 20.957000732421875 35.665000915527344 4.75 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
9.0 20.957000732421875 35.665000915527344 4.760000228881836 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
10.0 20.957000732421875 35.66600036621094 4.46999979019165 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
11.0 20.95800018310547 35.66699981689453 3.119999885559082 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
12.0 20.95800018310547 35.66699981689453 2.9000000953674316 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
13.0 20.958999633789062 35.667999267578125 2.7899999618530273 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
14.0 20.959999084472656 35.66999816894531 2.9100000858306885 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
15.0 20.959999084472656 35.67100143432617 2.819999933242798 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
16.0 20.961000442504883 35.67599868774414 0.0
17.0 20.961000442504883 35.67599868774414 0.0
18.0 20.961000442504883 35.676998138427734 0.0
19.0 20.961999893188477 35.680999755859375 0.0
20.0 20.965999603271484 35.696998596191406 0.0
21.0 20.97599983215332 35.73400115966797 0.0
22.0 20.97800064086914 35.7400016784668 0.0
23.0 20.979999542236328 35.75699996948242 0.0
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27.0 21.011999130249023 36.040000915527344 0.0
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479.0 7.885000228881836 34.95600128173828 0.0
480.0 7.883999824523926 34.95600128173828 0.0
481.0 7.882999897003174 34.95500183105469 0.0
482.0 7.880000114440918 34.95500183105469 0.0
483.0 7.877999782562256 34.95500183105469 0.0
484.0 7.876999855041504 34.95500183105469 0.0
485.0 7.875999927520752 34.95500183105469 0.0
486.0 7.875 34.95500183105469 0.0
487.0 7.875 34.95500183105469 0.0
488.0 7.872000217437744 34.95399856567383 0.0
489.0 7.870999813079834 34.95399856567383 0.0
490.0 7.869999885559082 34.95399856567383 0.0
491.0 7.86899995803833 34.95399856567383 0.0
492.0 7.86899995803833 34.95399856567383 0.0
493.0 7.86899995803833 34.952999114990234 0.0
494.0 7.868000030517578 34.952999114990234 0.0
495.0 7.866000175476074 34.952999114990234 0.0
496.0 7.855999946594238 34.95199966430664 0.0
497.0 7.8460001945495605 34.95100021362305 0.0
498.0 7.840000152587891 34.95100021362305 0.0

In total, there are 495 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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