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Dataset Title:  "Deepwater CTD - 94g0816.bdo.nc - 28.25N, -89.75W - 1994-10-21" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_94g0816_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   11 options
    temperature ?  =  degree_C   11 options
    salinity ?  =  PSU   11 options
    oxygen ?  =  milliliters per liter   11 options
    nitrite ?  =  micromols per liter   3 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols per liter   9 options
    silicate ?  =  micromols per liter   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 micromols per liter micromols micromols per liter micromols per liter PSU
5.0 27.261999130249023 36.04600143432617 5.1579999923706055 0.0 0.4000000059604645 0.05999999865889549 2.0 0.0
50.0 24.909000396728516 36.26599884033203 5.122000217437744 0.009999999776482582 0.20000000298023224 0.05999999865889549 1.7000000476837158 0.0
100.0 19.868000030517578 36.595001220703125 3.5759999752044678 0.019999999552965164 8.100000381469727 0.4099999964237213 2.799999952316284 0.0
150.0 16.483999252319336 36.176998138427734 3.303999900817871 0.019999999552965164 14.100000381469727 0.7400000095367432 5.199999809265137 0.0
200.0 14.809000015258789 35.91400146484375 3.138000011444092 0.009999999776482582 18.299999237060547 1.0 7.199999809265137 0.0
250.0 13.468000411987305 35.70800018310547 3.3320000171661377 0.009999999776482582 20.200000762939453 1.149999976158142 8.699999809265137 0.0
300.0 11.958999633789062 35.47600173950195 3.061000108718872 0.009999999776482582 23.700000762939453 1.3799999952316284 11.199999809265137 0.0
350.0 10.506999969482422 35.263999938964844 2.9609999656677246 0.009999999776482582 26.799999237060547 1.5800000429153442 13.5 0.0
400.0 9.850000381469727 35.18299865722656 2.9140000343322754 0.0 28.600000381469727 1.7000000476837158 15.699999809265137 0.0
500.0 8.982999801635742 35.08599853515625 2.9200000762939453 0.009999999776482582 29.5 1.7999999523162842 17.600000381469727 0.0
575.0 8.538999557495117 35.029998779296875 2.9170000553131104 0.009999999776482582 29.799999237060547 1.7999999523162842 18.299999237060547 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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