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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00830674.bdo.nc - 25.67N, -85.12W - 1983-03-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830674_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   11 options
    oxygen ?  =  milliliters per liter   11 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   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 not-measured micromols micromols micromols PSU
2.0 21.3799991607666 36.04999923706055 5.119999885559082 -99.98999786376953 0.009999999776482582 0.8999999761581421 0.0
50.0 20.861000061035156 36.11000061035156 5.150000095367432 0.10000000149011612 0.029999999329447746 1.0 0.0
100.0 19.611000061035156 36.31999969482422 -99.98999786376953 0.30000001192092896 0.009999999776482582 1.0 0.0
148.0 15.899999618530273 36.099998474121094 -99.98999786376953 16.299999237060547 0.6499999761581421 6.099999904632568 0.0
200.0 13.25 35.69900131225586 -99.98999786376953 22.0 0.8999999761581421 9.199999809265137 0.0
299.0 10.770000457763672 35.33000183105469 2.9000000953674316 26.899999618530273 1.6299999952316284 21.5 0.0
400.0 8.850000381469727 35.06999969482422 2.8499999046325684 30.5 1.8700000047683716 24.200000762939453 0.0
500.0 7.53000020980835 34.939998626708984 2.9700000286102295 32.099998474121094 2.0299999713897705 25.899999618530273 0.0
601.0 6.570000171661377 34.888999938964844 3.25 32.099998474121094 2.0399999618530273 26.0 0.0
701.0 5.89900016784668 34.888999938964844 3.569999933242798 31.399999618530273 2.0399999618530273 26.799999237060547 0.0
802.0 5.339000225067139 34.90999984741211 3.7200000286102295 29.5 1.8799999952316284 26.600000381469727 0.0
900.0 5.008999824523926 34.92900085449219 4.150000095367432 27.899999618530273 1.8700000047683716 26.799999237060547 0.0
1000.0 4.710999965667725 34.939998626708984 4.449999809265137 27.399999618530273 1.7599999904632568 17.299999237060547 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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