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Dataset Title:  "Deepwater CTD - d93g227.bdo.nc - 27.13N, -96.34W - 1993-11-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d93g227_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   8 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
0.0 24.136699676513672 36.08430099487305 -9.0 0.019999999552965164 0.20999999344348907 0.0 2.630000114440918 -9.0 0.0
13.0 24.13409996032715 36.08319854736328 -9.0 0.009999999776482582 0.25999999046325684 0.0 2.4800000190734863 -9.0 0.0
28.0 24.150100708007812 36.084800720214844 -9.0 0.009999999776482582 0.2199999988079071 0.0 2.359999895095825 -9.0 0.0
39.0 24.144800186157227 36.08359909057617 -9.0 0.009999999776482582 0.25999999046325684 0.0 2.3499999046325684 -9.0 0.0
48.0 24.138599395751953 36.08140182495117 -9.0 0.009999999776482582 0.1599999964237213 0.0 2.2699999809265137 -9.0 0.0
60.0 23.535400390625 36.22850036621094 -9.0 0.05999999865889549 0.23000000417232513 0.019999999552965164 2.2300000190734863 -9.0 0.0
68.0 22.08449935913086 36.30009841918945 -9.0 0.07000000029802322 0.8899999856948853 0.03999999910593033 2.1500000953674316 -9.0 0.0
83.0 20.671899795532227 36.3911018371582 -9.0 0.05000000074505806 4.5 0.17000000178813934 2.819999933242798 -9.0 0.0
98.0 19.266399383544922 36.45050048828125 -9.0 0.03999999910593033 10.579999923706055 0.47999998927116394 3.8499999046325684 -9.0 0.0
127.0 17.339500427246094 36.30099868774414 -9.0 0.029999999329447746 14.170000076293945 0.699999988079071 5.199999809265137 -9.0 0.0
167.0 15.959199905395508 36.11640167236328 -9.0 0.029999999329447746 16.030000686645508 0.8500000238418579 6.360000133514404 -9.0 0.0
216.0 14.653300285339355 35.922298431396484 -9.0 0.03999999910593033 17.739999771118164 0.9599999785423279 7.869999885559082 -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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