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Dataset Title:  "Deepwater CTD - 00838221.bdo.nc - 26.92N, -86.43W - 1983-11-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838221_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: 13)
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   13 options
    temperature ?  =  degree_C   11 options
    salinity ?  =  PSU   11 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   12 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 not-measured micromols micromols micromols PSU
2.0 27.520000457763672 36.189998626708984 4.21999979019165 0.20000000298023224 0.09000000357627869 1.100000023841858 0.0
49.0 27.520000457763672 36.189998626708984 4.159999847412109 0.20000000298023224 0.05999999865889549 1.2000000476837158 0.0
99.0 27.520000457763672 36.19900131225586 4.130000114440918 0.20000000298023224 0.09000000357627869 1.2999999523162842 0.0
150.0 24.30900001525879 36.689998626708984 3.619999885559082 2.700000047683716 0.20999999344348907 1.2000000476837158 0.0
200.0 21.25 36.77000045776367 3.2300000190734863 9.600000381469727 0.36000001430511475 2.0999999046325684 0.0
299.0 17.41900062561035 36.36899948120117 3.440000057220459 10.5 0.5899999737739563 3.299999952316284 0.0
400.0 13.930000305175781 35.78900146484375 2.7799999713897705 20.299999237060547 1.1799999475479126 8.100000381469727 0.0
501.0 11.300000190734863 35.380001068115234 2.6500000953674316 26.100000381469727 1.5299999713897705 11.899999618530273 0.0
601.0 9.600000381469727 35.14899826049805 2.5299999713897705 30.100000381469727 1.8200000524520874 16.100000381469727 0.0
801.0 7.03000020980835 34.89899826049805 2.819999933242798 33.29999923706055 2.069999933242798 23.399999618530273 0.0
1000.0 5.639999866485596 34.89899826049805 3.319999933242798 31.399999618530273 2.0 26.299999237060547 0.0
1200.0 4.758999824523926 34.939998626708984 3.930000066757202 28.0 1.75 26.899999618530273 0.0
1501.0 4.329999923706055 34.970001220703125 4.329999923706055 25.899999618530273 1.6299999952316284 26.100000381469727 0.0

In total, there are 13 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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