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Dataset Title:  "Deepwater CTD - st133lay.ctd.nc - 26.98N, -95.03W - 1994-05-13" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st133lay_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   26 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 26.65220069885254 32.71070098876953 3.238100051879883 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.650400161743164 32.71900177001953 4.203999996185303 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 26.645299911499023 32.737701416015625 4.22760009765625 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 24.192399978637695 34.95220184326172 4.478899955749512 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 23.1018009185791 35.33649826049805 4.620800018310547 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 22.68910026550293 35.582298278808594 4.617700099945068 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 21.91230010986328 35.93109893798828 4.748199939727783 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 21.88599967956543 36.171199798583984 4.725500106811523 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 21.68470001220703 36.26470184326172 4.717800140380859 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 21.51919937133789 36.27450180053711 4.700500011444092 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 21.02440071105957 36.2421989440918 4.748199939727783 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 19.7814998626709 36.247501373291016 4.7555999755859375 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 19.19260025024414 36.302799224853516 4.1092000007629395 100.0 0.0
124.0 18.454599380493164 36.369598388671875 3.190999984741211 125.0 0.0
148.0 17.219100952148438 36.28739929199219 2.7990000247955322 150.0 0.0
173.0 16.152000427246094 36.141300201416016 2.792099952697754 175.0 0.0
198.0 15.122900009155273 35.98740005493164 2.762500047683716 200.0 0.0
248.0 13.255000114440918 35.69710159301758 2.7170000076293945 250.0 0.0
297.0 12.082300186157227 35.51539993286133 2.6930999755859375 300.0 0.0
396.0 9.957099914550781 35.207401275634766 2.6721999645233154 400.0 0.0
495.0 8.357999801635742 35.01580047607422 2.7571001052856445 500.0 0.0
594.0 7.174300193786621 34.91859817504883 2.9856998920440674 600.0 0.0
693.0 6.356599807739258 34.89149856567383 3.269399881362915 700.0 0.0
743.0 5.993599891662598 34.89070129394531 3.446700096130371 750.0 0.0
792.0 5.69950008392334 34.89360046386719 3.6280999183654785 800.0 0.0
891.0 5.3084001541137695 34.90380096435547 3.8703999519348145 900.0 0.0
990.0 4.987500190734863 34.91659927368164 4.125 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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