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Dataset Title:  "Deepwater CTD - 94g0806.bdo.nc - 28.61N, -89.94W - 1994-10-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0806_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: 11)
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   10 options
    temperature ?  =  degree_C   10 options
    salinity ?  =  PSU   10 options
    oxygen ?  =  milliliters per liter   11 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   11 options
    silicate ?  =  micromols per liter   9 options
    salinity2 ?  =  PSU   1 option:
    qualityFlag ?  =  2 options

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 micromols per liter micromols micromols per liter micromols per liter PSU
5.0 26.850000381469727 35.52899932861328 4.830999851226807 0.09000000357627869 0.20000000298023224 0.10000000149011612 2.299999952316284 0.0
30.0 26.909000396728516 35.97100067138672 4.8470001220703125 0.019999999552965164 0.0 0.029999999329447746 1.7999999523162842 0.0
50.0 26.365999221801758 36.28799819946289 4.36899995803833 0.20000000298023224 1.5 0.1899999976158142 4.699999809265137 0.0
80.0 20.70400047302246 36.39799880981445 3.6050000190734863 0.05000000074505806 6.300000190734863 0.3799999952316284 4.699999809265137 0.0
100.0 18.233999252319336 36.39899826049805 2.885999917984009 0.03999999910593033 11.699999809265137 0.6399999856948853 5.699999809265137 0.0
120.0 17.558000564575195 36.30500030517578 3.2060000896453857 0.03999999910593033 12.199999809265137 0.6899999976158142 5.599999904632568 0.0
150.0 16.165000915527344 36.117000579833984 3.322999954223633 0.019999999552965164 14.300000190734863 0.8100000023841858 5.599999904632568 0.0
200.0 14.729999542236328 35.86399841308594 3.075000047683716 0.019999999552965164 17.700000762939453 1.0299999713897705 7.900000095367432 1.0
250.0 13.052000045776367 35.64500045776367 3.052999973297119 0.03999999910593033 20.5 1.2799999713897705 9.899999618530273 0.0
290.0 12.310999870300293 35.534000396728516 2.9790000915527344 0.09000000357627869 22.0 1.3899999856948853 11.899999618530273 0.0
290.0 12.310999870300293 35.534000396728516 2.996000051498413 0.07999999821186066 21.700000762939453 1.3700000047683716 11.199999809265137 0.0

In total, there are 11 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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