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Dataset Title:  "Deepwater CTD - 93g0105d.ctd.nc - 26.67N, -95.0W - 1993-01-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_93g0105d_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: 563)
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   563 options
    temperature ?  =  degree_C   532 options
    salinity ?  =  PSU   494 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  micromols per liter   7 options
    nitrate ?  =  micromols   7 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   10 options
    salinity2 ?  =  PSU   2 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 nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
4.0 23.868600845336914 36.38249969482422 4.827000141143799 0.05999999865889549 0.0 0.05000000074505806 5.300000190734863 -99.0 0.0
5.0 23.869199752807617 36.38249969482422 4.826000213623047 0.05999999865889549 0.10000000149011612 0.05000000074505806 5.800000190734863 -99.0 0.0
6.0 23.870500564575195 36.382598876953125 5.118000030517578 0.05999999865889549 0.0 0.029999999329447746 5.300000190734863 -99.0 0.0
7.0 23.869400024414062 36.382301330566406 4.830999851226807 0.07000000029802322 0.10000000149011612 0.019999999552965164 5.099999904632568 -99.0 0.0
8.0 23.86639976501465 36.382301330566406 5.0929999351501465 0.07000000029802322 0.10000000149011612 0.009999999776482582 5.0 -99.0 0.0
9.0 23.86709976196289 36.382301330566406 4.78000020980835 0.07999999821186066 0.10000000149011612 0.009999999776482582 4.400000095367432 -99.0 0.0
10.0 23.86680030822754 36.38209915161133 4.806000232696533 0.09000000357627869 0.0 0.019999999552965164 4.099999904632568 -99.0 0.0
11.0 23.86669921875 36.382198333740234 4.7789998054504395 0.07999999821186066 0.10000000149011612 0.009999999776482582 4.0 -99.0 0.0
12.0 23.866300582885742 36.38240051269531 3.509000062942505 0.019999999552965164 4.300000190734863 0.20999999344348907 3.299999952316284 -99.0 0.0
13.0 23.866600036621094 36.382301330566406 3.490000009536743 0.019999999552965164 5.099999904632568 0.25 3.299999952316284 -99.0 0.0
14.0 23.867399215698242 36.38209915161133 3.4130001068115234 0.009999999776482582 6.300000190734863 0.3100000023841858 3.5 -99.0 0.0
15.0 23.867700576782227 36.382198333740234 3.302000045776367 0.009999999776482582 9.5 0.49000000953674316 4.400000095367432 -99.0 0.0
16.0 23.867599487304688 36.38240051269531 0.0
18.0 23.868099212646484 36.382198333740234 0.0
19.0 23.86989974975586 36.38180160522461 0.0
20.0 23.86870002746582 36.382198333740234 0.0
21.0 23.86910057067871 36.38240051269531 0.0
22.0 23.869800567626953 36.382301330566406 0.0
23.0 23.869699478149414 36.38249969482422 0.0
24.0 23.86989974975586 36.38249969482422 0.0
25.0 23.870100021362305 36.38249969482422 0.0
26.0 23.870500564575195 36.38249969482422 0.0
28.0 23.871400833129883 36.38240051269531 0.0
29.0 23.8710994720459 36.38249969482422 0.0
30.0 23.871599197387695 36.38240051269531 0.0
31.0 23.869600296020508 36.38249969482422 0.0
32.0 23.86870002746582 36.3828010559082 0.0
33.0 23.869699478149414 36.382598876953125 0.0
34.0 23.8700008392334 36.382598876953125 0.0
36.0 23.870100021362305 36.3828010559082 0.0
37.0 23.870800018310547 36.38249969482422 0.0
38.0 23.8710994720459 36.382301330566406 0.0
40.0 23.871400833129883 36.3827018737793 0.0
41.0 23.871599197387695 36.38240051269531 0.0
42.0 23.871299743652344 36.38240051269531 0.0
43.0 23.87190055847168 36.38249969482422 0.0
44.0 23.871200561523438 36.382598876953125 0.0
45.0 23.871599197387695 36.38240051269531 0.0
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51.0 23.871299743652344 36.382999420166016 0.0
53.0 23.862699508666992 36.3838005065918 0.0
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749.0 6.9517998695373535 34.904598236083984 0.0

In total, there are 563 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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