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Dataset Title:  "Deepwater CTD - st106lay.ctd.nc - 26.0N, -91.99W - 1994-05-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st106lay_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 26.019100189208984 35.58769989013672 3.1224000453948975 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.03030014038086 35.44070053100586 4.217100143432617 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 25.93790054321289 35.97610092163086 4.248499870300293 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.439599990844727 36.294700622558594 4.321400165557861 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 25.18429946899414 36.2859992980957 4.375800132751465 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 23.8794002532959 36.2598991394043 4.623199939727783 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 22.994600296020508 36.31629943847656 4.712500095367432 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 22.787900924682617 36.341400146484375 4.704100131988525 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 22.627300262451172 36.34579849243164 4.741199970245361 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 22.182300567626953 36.3306999206543 4.7480998039245605 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 21.574399948120117 36.33980178833008 4.677499771118164 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 20.100500106811523 36.373600006103516 4.415599822998047 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 18.713199615478516 36.45389938354492 3.0076000690460205 100.0 0.0
124.0 17.644899368286133 36.36360168457031 3.072999954223633 125.0 0.0
148.0 16.231000900268555 36.16490173339844 3.061800003051758 150.0 0.0
173.0 15.283100128173828 36.02119827270508 3.2137999534606934 175.0 0.0
198.0 14.401200294494629 35.87630081176758 3.118799924850464 200.0 0.0
248.0 12.879400253295898 35.62839889526367 2.9428999423980713 250.0 0.0
297.0 11.355299949645996 35.397300720214844 2.8973000049591064 300.0 0.0
396.0 9.425700187683105 35.1327018737793 2.8183000087738037 400.0 0.0
495.0 7.714600086212158 34.940799713134766 2.9795000553131104 500.0 0.0
594.0 6.798699855804443 34.895599365234375 3.165600061416626 600.0 0.0
693.0 6.0320000648498535 34.889801025390625 3.4953999519348145 700.0 0.0
743.0 5.751999855041504 34.89099884033203 3.648400068283081 750.0 0.0
792.0 5.513599872589111 34.89690017700195 3.805500030517578 800.0 0.0
891.0 5.15500020980835 34.908599853515625 4.064499855041504 900.0 0.0
990.0 4.82450008392334 34.92340087890625 4.328499794006348 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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