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Dataset Title:  "Deepwater CTD - 00843453.bdo.nc - 25.23N, -84.58W - 1984-05-11" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00843453_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   13 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   13 options
    silicate ?  =  micromols   13 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 not-measured micromols micromols micromols PSU
3.0 26.739999771118164 36.349998474121094 4.789999961853027 -99.98999786376953 0.03999999910593033 1.399999976158142 0.0
50.0 25.429000854492188 36.42900085449219 4.809999942779541 0.10000000149011612 0.05000000074505806 0.699999988079071 0.0
101.0 22.259000778198242 36.689998626708984 3.7699999809265137 5.300000190734863 0.3499999940395355 2.200000047683716 0.0
149.0 19.52899932861328 36.61000061035156 3.559999942779541 9.300000190734863 0.7200000286102295 3.200000047683716 0.0
199.0 16.538999557495117 36.19900131225586 3.4000000953674316 13.399999618530273 1.0499999523162842 5.5 0.0
298.0 13.140000343322754 35.66899871826172 3.0399999618530273 21.299999237060547 1.6299999952316284 9.800000190734863 0.0
400.0 9.920000076293945 35.17900085449219 2.8499999046325684 27.299999237060547 2.0 15.0 0.0
500.0 8.1899995803833 34.9900016784668 2.8299999237060547 31.399999618530273 2.430000066757202 13.100000381469727 0.0
601.0 6.639999866485596 34.89899826049805 3.200000047683716 30.399999618530273 2.5 15.5 0.0
700.0 6.010000228881836 34.888999938964844 3.450000047683716 30.0 2.4800000190734863 16.600000381469727 0.0
802.0 5.639999866485596 34.90999984741211 3.6700000762939453 28.799999237060547 2.3499999046325684 17.100000381469727 1.0
902.0 5.229000091552734 34.91899871826172 3.9600000381469727 27.799999237060547 2.2699999809265137 17.5 0.0
1000.0 4.809000015258789 34.939998626708984 4.309999942779541 25.899999618530273 2.109999895095825 17.200000762939453 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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