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Dataset Title:  "Deepwater CTD - 00830143.bdo.nc - 24.6N, -84.6W - 1983-03-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830143_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   12 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   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 not-measured micromols micromols micromols PSU
1.0 25.64900016784668 36.02000045776367 4.800000190734863 -99.98999786376953 0.07999999821186066 1.2999999523162842 0.0
49.0 25.65999984741211 36.00899887084961 4.699999809265137 -99.98999786376953 0.07999999821186066 1.2999999523162842 0.0
100.0 25.679000854492188 36.02000045776367 4.849999904632568 0.30000001192092896 -99.98999786376953 1.2999999523162842 0.0
150.0 23.049999237060547 36.689998626708984 3.7899999618530273 4.599999904632568 0.14000000059604645 1.600000023841858 0.0
200.0 20.219999313354492 36.66899871826172 3.7899999618530273 8.199999809265137 0.27000001072883606 2.4000000953674316 0.0
300.0 17.520000457763672 36.36000061035156 3.5899999141693115 11.199999809265137 0.7200000286102295 3.5999999046325684 0.0
400.0 14.630000114440918 35.90999984741211 3.180000066757202 18.299999237060547 0.75 6.900000095367432 0.0
500.0 11.670000076293945 35.44900131225586 2.7799999713897705 25.299999237060547 1.0800000429153442 11.899999618530273 0.0
600.0 9.170000076293945 35.11000061035156 2.930000066757202 29.5 1.4600000381469727 17.200000762939453 0.0
800.0 6.519999980926514 34.888999938964844 3.2300000190734863 31.299999237060547 2.049999952316284 24.299999237060547 0.0
1000.0 5.269999980926514 34.91899871826172 4.440000057220459 28.700000762939453 1.909999966621399 26.299999237060547 0.0
1200.0 4.589000225067139 34.94900131225586 4.550000190734863 25.899999618530273 1.2699999809265137 26.200000762939453 0.0
1498.0 4.289999961853027 34.970001220703125 5.25 24.5 1.2200000286102295 24.600000381469727 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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