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Dataset Title:  "Deepwater CTD - 00830414.bdo.nc - 24.67N, -86.87W - 1983-03-16" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830414_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: 13)
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   13 options
    temperature ?  =  degree_C   13 options
    salinity ?  =  PSU   11 options
    oxygen ?  =  milliliters per liter   9 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   12 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 not-measured micromols micromols micromols PSU
3.0 25.049999237060547 36.04999923706055 4.150000095367432 -99.98999786376953 0.009999999776482582 1.2000000476837158 0.0
50.0 25.020000457763672 36.04999923706055 4.900000095367432 0.10000000149011612 -99.98999786376953 1.100000023841858 0.0
101.0 24.948999404907227 36.058998107910156 -99.98999786376953 0.8999999761581421 0.009999999776482582 0.8999999761581421 0.0
152.0 24.138999938964844 36.308998107910156 -99.98999786376953 3.799999952316284 0.1899999976158142 1.5 0.0
199.0 23.850000381469727 36.709999084472656 -99.98999786376953 9.100000381469727 0.3100000023841858 2.9000000953674316 0.0
304.0 18.72100067138672 36.52000045776367 4.150000095367432 12.800000190734863 0.6899999976158142 4.300000190734863 0.0
400.0 16.589000701904297 36.229000091552734 3.1500000953674316 19.0 1.0800000429153442 7.900000095367432 0.0
498.0 14.319999694824219 35.849998474121094 3.0 25.899999618530273 1.5499999523162842 12.399999618530273 0.0
601.0 11.229999542236328 35.380001068115234 2.9000000953674316 32.29999923706055 2.0199999809265137 20.600000381469727 0.0
800.0 7.949999809265137 34.970001220703125 3.8499999046325684 30.899999618530273 2.259999990463257 25.700000762939453 0.0
1000.0 5.630000114440918 34.89899826049805 4.449999809265137 27.899999618530273 1.7799999713897705 27.0 0.0
1202.0 4.75 34.939998626708984 4.900000095367432 25.600000381469727 1.6299999952316284 26.200000762939453 0.0
1490.0 4.300000190734863 34.970001220703125 5.050000190734863 25.600000381469727 1.600000023841858 25.700000762939453 0.0

In total, there are 13 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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