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Dataset Title:  "Deepwater CTD - st123lay.ctd.nc - 26.0N, -94.02W - 1994-05-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st123lay_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: 27)
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   27 options
    temperature ?  =  degree_C   27 options
    salinity ?  =  PSU   27 options
    oxygen ?  =  mililiter per liter   27 options
    pressure ?  =  decibars   27 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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU mililiter per liter decibars micromols micromols micromols micromols PSU
3.0 26.254600524902344 32.86119842529297 4.530600070953369 3.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.258499145507812 32.86880111694336 4.485499858856201 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 25.889799118041992 34.4822998046875 4.438799858093262 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.18939971923828 34.987998962402344 4.514699935913086 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 23.51490020751953 35.54349899291992 4.742499828338623 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 22.67169952392578 35.922298431396484 4.800600051879883 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 22.059900283813477 36.097599029541016 4.790299892425537 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 21.672300338745117 36.104000091552734 4.82859992980957 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 21.72719955444336 36.22019958496094 4.78980016708374 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 21.487199783325195 36.20309829711914 4.783400058746338 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 21.418100357055664 36.267799377441406 4.757299900054932 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 19.94179916381836 36.217098236083984 4.42080020904541 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 19.022300720214844 36.41619873046875 3.023200035095215 100.0 0.0
124.0 17.37929916381836 36.29679870605469 2.687299966812134 125.0 0.0
148.0 16.086999893188477 36.133399963378906 2.7739999294281006 150.0 0.0
173.0 14.775799751281738 35.93989944458008 2.754699945449829 175.0 0.0
198.0 14.072799682617188 35.825599670410156 2.7348999977111816 200.0 0.0
248.0 12.430999755859375 35.57339859008789 2.7284998893737793 250.0 0.0
297.0 11.30459976196289 35.400001525878906 2.6858999729156494 300.0 0.0
396.0 9.099100112915039 35.094398498535156 2.7753000259399414 400.0 0.0
495.0 7.807000160217285 34.964500427246094 2.881200075149536 500.0 0.0
594.0 6.861499786376953 34.907901763916016 3.0755999088287354 600.0 0.0
693.0 6.085700035095215 34.888099670410156 3.4205000400543213 700.0 0.0
743.0 5.801000118255615 34.890499114990234 3.594099998474121 750.0 0.0
792.0 5.56220006942749 34.89500045776367 3.7427000999450684 800.0 0.0
891.0 5.217400074005127 34.90599822998047 3.9797000885009766 900.0 0.0
990.0 4.865200042724609 34.92250061035156 4.244500160217285 1000.0 0.0

In total, there are 27 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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