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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - st110lay.ctd.nc - 26.99N, -92.04W - 1994-05-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st110lay_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 25.959299087524414 36.277000427246094 3.8903000354766846 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.01409912109375 36.33000183105469 4.21019983291626 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 25.782499313354492 36.29999923706055 4.263000011444092 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.310699462890625 36.28099822998047 4.319200038909912 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 25.13680076599121 36.27799987792969 4.329400062561035 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 24.33919906616211 36.308998107910156 4.441999912261963 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 23.536800384521484 36.39250183105469 4.549200057983398 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 23.15369987487793 36.37839889526367 4.593200206756592 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 22.88990020751953 36.36439895629883 4.6468000411987305 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 22.68560028076172 36.36909866333008 4.640699863433838 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 22.373899459838867 36.33219909667969 4.672900199890137 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 20.828800201416016 36.371299743652344 4.555699825286865 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 19.5846004486084 36.44150161743164 3.5861001014709473 100.0 0.0
124.0 18.231300354003906 36.3827018737793 3.1637001037597656 125.0 0.0
148.0 17.41510009765625 36.32429885864258 3.076900005340576 150.0 0.0
173.0 16.53030014038086 36.210201263427734 3.14490008354187 175.0 0.0
198.0 15.360400199890137 36.02920150756836 3.1331000328063965 200.0 0.0
248.0 13.76550006866455 35.77000045776367 3.02810001373291 250.0 0.0
297.0 12.144399642944336 35.51139831542969 2.936300039291382 300.0 0.0
396.0 10.195199966430664 35.2224006652832 2.8304998874664307 400.0 0.0
495.0 8.342499732971191 34.99449920654297 2.868799924850464 500.0 0.0
594.0 7.036799907684326 34.89619827270508 3.0999999046325684 600.0 0.0
693.0 6.237299919128418 34.88169860839844 3.4131999015808105 700.0 0.0
743.0 5.917900085449219 34.885501861572266 3.5452001094818115 750.0 0.0
792.0 5.639100074768066 34.89149856567383 3.7179999351501465 800.0 0.0
891.0 5.250100135803223 34.904598236083984 3.9827001094818115 900.0 0.0
990.0 4.899199962615967 34.92020034790039 4.2600998878479 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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