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Dataset Title:  "Deepwater CTD - st126lay.ctd.nc - 26.98N, -94.03W - 1994-05-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st126lay_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
2.0 26.43199920654297 34.32210159301758 3.609299898147583 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.442399978637695 34.33580017089844 4.177199840545654 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 26.447999954223633 34.33330154418945 4.218999862670898 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.04509925842285 34.898799896240234 4.4070000648498535 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 22.995899200439453 35.71780014038086 4.652900218963623 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 22.601299285888672 36.10419845581055 4.681099891662598 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 22.17020034790039 36.17610168457031 4.757299900054932 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 21.938800811767578 36.19160079956055 4.724899768829346 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 21.683300018310547 36.22869873046875 4.76230001449585 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 21.509300231933594 36.2150993347168 4.782599925994873 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 21.2987003326416 36.223201751708984 4.797299861907959 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 19.728099822998047 36.315799713134766 4.066199779510498 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 18.151899337768555 36.38119888305664 2.760499954223633 100.0 0.0
124.0 16.502500534057617 36.19810104370117 2.7743000984191895 125.0 0.0
148.0 15.513500213623047 36.04949951171875 2.7425999641418457 150.0 0.0
173.0 14.63010025024414 35.91490173339844 2.748199939727783 175.0 0.0
198.0 13.737700462341309 35.775901794433594 2.7434000968933105 200.0 0.0
248.0 12.36769962310791 35.5630989074707 2.704400062561035 250.0 0.0
297.0 11.041500091552734 35.362998962402344 2.6568000316619873 300.0 0.0
396.0 9.43340015411377 35.14139938354492 2.698199987411499 400.0 0.0
495.0 7.708499908447266 34.95690155029297 2.8559999465942383 500.0 0.0
594.0 6.751399993896484 34.899600982666016 3.134500026702881 600.0 0.0
693.0 5.976900100708008 34.89189910888672 3.479599952697754 700.0 0.0
743.0 5.686500072479248 34.89289855957031 3.661600112915039 750.0 0.0
792.0 5.530300140380859 34.89609909057617 3.7734999656677246 800.0 0.0
891.0 5.151100158691406 34.90890121459961 4.035399913787842 900.0 0.0
990.0 4.773499965667725 34.92570114135742 4.343200206756592 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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