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Dataset Title:  "Deepwater CTD - 00837946.bdo.nc - 24.95N, -84.52W - 1983-11-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00837946_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   13 options
    phosphate ?  =  micromols   13 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
5.0 25.850000381469727 36.02899932861328 4.380000114440918 0.20000000298023224 0.10000000149011612 1.100000023841858 0.0
41.0 25.829999923706055 35.979000091552734 3.9700000286102295 12.0 0.7200000286102295 4.099999904632568 0.0
99.0 18.91900062561035 36.388999938964844 3.6600000858306885 6.5 0.4099999964237213 2.5 0.0
147.0 16.868999481201172 36.2400016784668 2.890000104904175 5.099999904632568 0.3799999952316284 2.299999952316284 0.0
200.0 14.199999809265137 35.8390007019043 2.609999895095825 19.299999237060547 1.149999976158142 7.199999809265137 0.0
300.0 11.180000305175781 35.388999938964844 2.450000047683716 -99.98999786376953 -99.98999786376953 -99.98999786376953 0.0
394.0 9.5600004196167 35.14899826049805 2.4200000762939453 28.700000762939453 1.8300000429153442 15.800000190734863 0.0
499.0 8.329999923706055 35.00899887084961 2.359999895095825 24.5 1.6799999475479126 14.100000381469727 0.0
600.0 7.230000019073486 34.91899871826172 2.559999942779541 31.799999237060547 2.069999933242798 21.299999237060547 0.0
800.0 5.639999866485596 34.89899826049805 3.0899999141693115 29.799999237060547 2.0 25.100000381469727 0.0
1000.0 5.181000232696533 34.91899871826172 3.5 28.299999237060547 1.899999976158142 25.5 0.0
1201.0 4.710999965667725 34.94900131225586 3.880000114440918 26.600000381469727 1.7799999713897705 25.899999618530273 0.0
1500.0 4.28000020980835 34.970001220703125 4.050000190734863 24.200000762939453 1.6200000047683716 24.5 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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