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Dataset Title:  "Deepwater CTD - 00838043.bdo.nc - 25.65N, -84.97W - 1983-11-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838043_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   13 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 27.579999923706055 36.11899948120117 4.170000076293945 -99.98999786376953 0.05999999865889549 1.2999999523162842 0.0
49.0 27.339000701904297 36.0890007019043 4.190000057220459 0.10000000149011612 0.07000000029802322 1.2999999523162842 0.0
99.0 22.388999938964844 36.36899948120117 3.9600000381469727 1.399999976158142 0.11999999731779099 1.899999976158142 0.0
150.0 19.229000091552734 36.479000091552734 3.0 9.0 0.5099999904632568 2.9000000953674316 0.0
202.0 16.940000534057617 36.28900146484375 3.200000047683716 11.800000190734863 0.7099999785423279 4.5 0.0
299.0 13.680000305175781 35.75899887084961 2.680000066757202 24.899999618530273 1.2699999809265137 9.0 0.0
401.0 10.779999732971191 35.31999969482422 2.5199999809265137 25.700000762939453 1.690000057220459 14.399999618530273 0.0
501.0 8.699999809265137 35.058998107910156 2.5399999618530273 29.100000381469727 2.4000000953674316 18.299999237060547 0.0
600.0 7.400000095367432 34.92900085449219 2.680000066757202 30.5 2.009999990463257 21.600000381469727 0.0
801.0 5.789999961853027 34.89899826049805 3.2799999713897705 29.299999237060547 1.9600000381469727 24.899999618530273 0.0
1002.0 4.979000091552734 34.92900085449219 3.799999952316284 27.799999237060547 1.850000023841858 26.700000762939453 0.0
1197.0 4.508999824523926 34.959999084472656 4.210000038146973 25.100000381469727 1.690000057220459 26.0 0.0
1501.0 4.300000190734863 34.970001220703125 4.480000019073486 24.200000762939453 1.559999942779541 25.799999237060547 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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