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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00830384.bdo.nc - 24.32N, -87.43W - 1983-03-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830384_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   12 options
    salinity ?  =  PSU   12 options
    oxygen ?  =  milliliters per liter   10 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
5.0 25.90999984741211 36.02899932861328 4.900000095367432 0.30000001192092896 0.03999999910593033 1.100000023841858 0.0
50.0 25.90999984741211 36.02899932861328 4.949999809265137 0.5 0.03999999910593033 1.100000023841858 0.0
101.0 25.65999984741211 36.459999084472656 4.099999904632568 1.100000023841858 0.019999999552965164 1.2999999523162842 0.0
151.0 21.239999771118164 36.720001220703125 3.6500000953674316 6.699999809265137 0.23000000417232513 2.200000047683716 0.0
200.0 18.589000701904297 36.52899932861328 3.6500000953674316 8.199999809265137 0.28999999165534973 2.5 0.0
303.0 14.770000457763672 35.92900085449219 3.700000047683716 21.0 0.9599999785423279 8.600000381469727 0.0
402.0 12.029999732971191 35.4900016784668 3.200000047683716 23.899999618530273 1.399999976158142 11.300000190734863 0.0
504.0 8.979999542236328 35.08000183105469 3.049999952316284 30.399999618530273 1.100000023841858 18.299999237060547 0.0
602.0 7.269999980926514 34.92900085449219 3.049999952316284 32.099998474121094 2.0199999809265137 22.299999237060547 0.0
701.0 6.420000076293945 34.888999938964844 3.450000047683716 31.700000762939453 2.0399999618530273 24.700000762939453 0.0
799.0 5.78000020980835 34.89899826049805 3.799999952316284 31.0 1.9900000095367432 25.700000762939453 0.0
893.0 5.389999866485596 34.90999984741211 3.9000000953674316 29.899999618530273 1.899999976158142 26.5 0.0
939.0 5.210999965667725 34.91899871826172 3.6500000953674316 27.5 1.75 20.0 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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