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Dataset Title:  "Deepwater CTD - 00682577.bdo.nc - 26.42N, -87.85W - 1973-06-03" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00682577_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: 43)
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   43 options
    temperature ?  =  degree_C   43 options
    salinity ?  =  PSU   29 options
    oxygen ?  =  not-measured   1 option:
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  not-measured   1 option:
    phosphate ?  =  not-measured   1 option:
    silicate ?  =  not-measured   1 option:
    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 not-measured not-measured not-measured not-measured not-measured PSU
0.0 26.6200008392334 -99.98999786376953 0.0
10.0 26.6299991607666 -99.98999786376953 0.0
12.0 26.5 -99.98999786376953 0.0
13.0 26.0 -99.98999786376953 0.0
18.0 25.5 -99.98999786376953 0.0
21.0 25.0 -99.98999786376953 0.0
22.0 24.5 -99.98999786376953 0.0
24.0 24.0 -99.98999786376953 0.0
27.0 23.5 -99.98999786376953 0.0
33.0 23.0 36.08000183105469 0.0
50.0 22.5 36.2400016784668 0.0
56.0 22.0 36.20000076293945 0.0
60.0 21.5 36.15999984741211 0.0
63.0 21.0 36.150001525878906 0.0
67.0 20.6299991607666 36.150001525878906 0.0
72.0 20.719999313354492 36.33000183105469 0.0
75.0 20.5 36.34000015258789 0.0
96.0 20.0 36.36000061035156 0.0
107.0 19.5 36.369998931884766 0.0
120.0 19.0 36.36000061035156 0.0
137.0 18.5 36.36000061035156 0.0
150.0 18.0 36.34000015258789 0.0
160.0 17.5 36.27000045776367 0.0
170.0 17.0 36.20000076293945 0.0
178.0 16.5 36.150001525878906 0.0
185.0 16.0 36.09000015258789 0.0
194.0 15.5 35.97999954223633 1.0
200.0 15.0 35.939998626708984 0.0
206.0 14.5 35.849998474121094 0.0
212.0 14.0 35.75 1.0
223.0 13.5 35.689998626708984 0.0
231.0 13.0 35.650001525878906 0.0
243.0 12.5 35.560001373291016 0.0
252.0 12.0 35.5099983215332 0.0
271.0 11.5 35.43000030517578 0.0
288.0 11.0 35.34000015258789 0.0
303.0 10.5 35.2599983215332 0.0
325.0 10.0 35.20000076293945 0.0
347.0 9.5 35.13999938964844 0.0
365.0 9.0 35.08000183105469 0.0
395.0 8.5 35.02000045776367 0.0
448.0 8.0 34.97999954223633 0.0
500.0 7.550000190734863 34.95000076293945 0.0

In total, there are 43 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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