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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - d93g110.bdo.nc - 27.87N, -92.86W - 1993-11-13" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g110_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: 12)
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   12 options
    temperature ?  =  degree_C (potential temperature from ctd)   12 options
    salinity ?  =  PSU   12 options
    oxygen ?  =  milliliters per liter   1 option: -9.0
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   1 option: -9.0
    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 (potential temperature from ctd) PSU milliliters per liter micromols micromols micromols micromols PSU
2.0 24.899499893188477 36.371498107910156 -9.0 0.0 0.07999999821186066 0.03999999910593033 2.0299999713897705 -9.0 0.0
18.0 24.88920021057129 36.370601654052734 -9.0 0.0 0.07999999821186066 0.029999999329447746 1.9500000476837158 -9.0 0.0
38.0 24.86440086364746 36.367801666259766 -9.0 0.0 0.029999999329447746 0.029999999329447746 1.899999976158142 -9.0 0.0
48.0 24.8351993560791 36.37919998168945 -9.0 0.009999999776482582 0.05999999865889549 0.029999999329447746 1.8600000143051147 -9.0 0.0
58.0 22.028799057006836 36.40719985961914 -9.0 0.11999999731779099 1.4299999475479126 0.10000000149011612 2.430000066757202 -9.0 0.0
63.0 21.680999755859375 36.429500579833984 -9.0 0.07999999821186066 2.2799999713897705 0.14000000059604645 2.559999942779541 -9.0 0.0
72.0 20.991300582885742 36.507198333740234 -9.0 0.05999999865889549 4.21999979019165 0.23000000417232513 2.819999933242798 -9.0 0.0
88.0 19.594900131225586 36.41590118408203 -9.0 0.029999999329447746 8.229999542236328 0.4699999988079071 4.170000076293945 -9.0 0.0
117.0 18.010700225830078 36.3760986328125 -9.0 0.019999999552965164 11.930000305175781 0.6700000166893005 5.050000190734863 -9.0 0.0
147.0 16.257400512695312 36.164398193359375 -9.0 0.009999999776482582 14.489999771118164 0.8399999737739563 5.96999979019165 -9.0 0.0
177.0 15.487500190734863 36.05120086669922 -9.0 0.019999999552965164 16.25 0.9599999785423279 7.25 -9.0 0.0
211.0 14.858599662780762 35.956199645996094 -9.0 0.019999999552965164 17.450000762939453 1.0499999523162842 8.050000190734863 -9.0 0.0

In total, there are 12 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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