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Dataset Title:  "Deepwater CTD - d94i168.bdo.nc - 27.84N, -94.81W - 1994-00-07" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_d94i168_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   9 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 28.4242000579834 36.19969940185547 -9.0 0.0 0.07999999821186066 0.10999999940395355 0.8299999833106995 -9.0 0.0
14.0 28.064199447631836 36.254600524902344 -9.0 0.0 0.07000000029802322 0.009999999776482582 0.9300000071525574 -9.0 0.0
24.0 26.871700286865234 36.3296012878418 -9.0 0.0 0.05000000074505806 0.0 1.100000023841858 -9.0 0.0
33.0 24.409000396728516 36.36149978637695 -9.0 0.0 0.029999999329447746 0.0 0.9800000190734863 -9.0 0.0
44.0 23.346099853515625 36.378700256347656 -9.0 0.009999999776482582 0.05000000074505806 0.0 0.10000000149011612 -9.0 0.0
52.0 22.46980094909668 36.35749816894531 -9.0 0.009999999776482582 0.10999999940395355 0.009999999776482582 0.0 -9.0 0.0
66.0 21.248699188232422 36.38199996948242 -9.0 0.25999999046325684 2.569999933242798 0.12999999523162842 1.0 -9.0 0.0
84.0 20.00119972229004 36.45650100708008 -9.0 0.1599999964237213 7.619999885559082 0.3700000047683716 2.069999933242798 -9.0 0.0
105.0 18.80109977722168 36.45429992675781 -9.0 0.10000000149011612 10.869999885559082 0.5400000214576721 2.759999990463257 -9.0 0.0
142.0 16.968399047851562 36.263301849365234 -9.0 0.029999999329447746 14.170000076293945 0.75 4.039999961853027 -9.0 0.0
204.0 14.388500213623047 35.88629913330078 -9.0 0.019999999552965164 19.020000457763672 1.0700000524520874 6.789999961853027 -9.0 0.0
227.0 13.404199600219727 35.73590087890625 -9.0 0.019999999552965164 23.790000915527344 1.3899999856948853 10.359999656677246 -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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