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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00830684.bdo.nc - 25.53N, -85.37W - 1983-03-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830684_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   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
3.0 21.288999557495117 36.0890007019043 4.71999979019165 -99.98999786376953 -99.98999786376953 1.0 0.0
50.0 20.759000778198242 36.14899826049805 5.010000228881836 0.10000000149011612 0.009999999776482582 0.8999999761581421 0.0
99.0 19.91900062561035 36.27000045776367 4.460000038146973 3.0999999046325684 0.12999999523162842 1.899999976158142 0.0
149.0 16.27899932861328 36.15999984741211 3.049999952316284 15.300000190734863 0.6200000047683716 5.5 0.0
199.0 13.819999694824219 35.78900146484375 2.819999933242798 20.100000381469727 0.8399999737739563 8.300000190734863 0.0
300.0 11.15999984741211 35.388999938964844 2.7300000190734863 25.799999237060547 1.5399999618530273 13.0 0.0
401.0 8.930000305175781 35.08000183105469 2.700000047683716 30.600000381469727 1.899999976158142 18.100000381469727 0.0
500.0 7.46999979019165 34.92900085449219 2.9200000762939453 32.5 2.069999933242798 22.200000762939453 0.0
599.0 6.25 34.888999938964844 3.3499999046325684 32.0 2.0299999713897705 25.0 0.0
700.0 5.681000232696533 34.89899826049805 3.559999942779541 30.700000762939453 1.9800000190734863 26.0 0.0
800.0 5.21999979019165 34.91899871826172 3.869999885559082 28.399999618530273 1.809999942779541 25.700000762939453 0.0
900.0 4.931000232696533 34.92900085449219 4.099999904632568 28.399999618530273 1.7599999904632568 26.799999237060547 0.0
998.0 4.630000114440918 34.94900131225586 4.369999885559082 26.799999237060547 1.7000000476837158 26.600000381469727 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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