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Dataset Title:  "Deepwater CTD - 00843608.bdo.nc - 25.23N, -84.65W - 1984-05-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00843608_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   13 options
    salinity ?  =  PSU   12 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   13 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
4.0 24.929000854492188 36.15999984741211 4.949999809265137 -99.98999786376953 0.029999999329447746 1.7999999523162842 0.0
50.0 24.440000534057617 36.27899932861328 4.909999847412109 -99.98999786376953 0.029999999329447746 1.7000000476837158 0.0
75.0 21.6299991607666 36.29999923706055 4.769999980926514 0.4000000059604645 0.12999999523162842 1.2000000476837158 0.0
98.0 20.350000381469727 36.439998626708984 3.8399999141693115 6.699999809265137 0.44999998807907104 3.0999999046325684 0.0
149.0 16.66900062561035 36.229000091552734 3.5799999237060547 11.800000190734863 0.9399999976158142 4.699999809265137 0.0
198.0 14.84000015258789 35.92900085449219 3.25 16.899999618530273 1.2999999523162842 7.300000190734863 0.0
299.0 11.760000228881836 35.459999084472656 2.950000047683716 22.5 1.8799999952316284 12.0 0.0
400.0 9.0 35.058998107910156 2.8299999237060547 28.0 2.200000047683716 17.5 0.0
500.0 7.789999961853027 34.94900131225586 -99.98999786376953 29.600000381469727 2.359999895095825 20.799999237060547 0.0
601.0 6.739999771118164 34.888999938964844 3.200000047683716 30.899999618530273 2.4600000381469727 23.600000381469727 0.0
700.0 6.139999866485596 34.888999938964844 3.440000057220459 30.299999237060547 2.5199999809265137 25.700000762939453 0.0
799.0 5.489999771118164 34.90999984741211 3.7899999618530273 28.899999618530273 2.309999942779541 26.0 0.0
1002.0 4.75 34.939998626708984 4.320000171661377 26.100000381469727 2.109999895095825 26.200000762939453 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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