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Dataset Title:  "Deepwater CTD - 94g0804.bdo.nc - 28.48N, -89.74W - 1994-10-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0804_bdo)
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: 11)
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   11 options
    temperature ?  =  degree_C   11 options
    salinity ?  =  PSU   11 options
    oxygen ?  =  milliliters per liter   11 options
    nitrite ?  =  micromols per liter   3 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   11 options
    salinity2 ?  =  PSU   1 option:
    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
2.0 27.166000366210938 35.85900115966797 4.811999797821045 0.0 0.0 0.05999999865889549 2.299999952316284 0.0
50.0 26.097000122070312 36.064998626708984 4.889999866485596 0.009999999776482582 0.10000000149011612 0.07000000029802322 2.0999999046325684 0.0
100.0 19.268999099731445 36.513999938964844 3.4549999237060547 0.019999999552965164 9.100000381469727 0.47999998927116394 3.5 0.0
150.0 16.250999450683594 36.12200164794922 3.130000114440918 0.009999999776482582 14.600000381469727 0.7900000214576721 5.699999809265137 0.0
200.0 -99.98999786376953 35.85100173950195 3.0439999103546143 0.009999999776482582 18.0 1.0299999713897705 7.300000190734863 0.0
250.0 13.104000091552734 35.65299987792969 2.938999891281128 0.009999999776482582 20.399999618530273 1.25 9.100000381469727 0.0
300.0 12.065999984741211 35.4900016784668 2.947999954223633 0.019999999552965164 22.600000381469727 1.409999966621399 10.5 0.0
350.0 10.977999687194824 35.334999084472656 2.9100000858306885 0.019999999552965164 24.700000762939453 1.5099999904632568 12.600000381469727 0.0
400.0 10.180999755859375 35.2239990234375 2.927999973297119 0.019999999552965164 26.700000762939453 1.6100000143051147 14.0 0.0
500.0 9.347999572753906 35.11899948120117 2.940999984741211 0.019999999552965164 28.100000381469727 1.7400000095367432 16.100000381469727 0.0
595.0 8.60200023651123 35.051998138427734 2.928999900817871 0.019999999552965164 29.399999618530273 1.8200000524520874 17.700000762939453 0.0

In total, there are 11 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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