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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00838207.bdo.nc - 26.68N, -86.95W - 1983-11-17" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838207_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   11 options
    oxygen ?  =  milliliters per liter   12 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   11 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
7.0 27.3799991607666 36.220001220703125 4.510000228881836 0.20000000298023224 0.09000000357627869 1.2999999523162842 0.0
51.0 27.388999938964844 36.220001220703125 4.460000038146973 0.20000000298023224 0.4000000059604645 1.2000000476837158 0.0
99.0 27.388999938964844 36.220001220703125 4.369999885559082 0.20000000298023224 0.09000000357627869 1.2999999523162842 0.0
150.0 25.329999923706055 36.54999923706055 3.890000104904175 1.7000000476837158 0.1899999976158142 1.2999999523162842 0.0
200.0 22.368999481201172 36.79999923706055 3.3499999046325684 5.300000190734863 0.3499999940395355 1.899999976158142 0.0
298.0 18.138999938964844 36.459999084472656 3.3499999046325684 9.5 0.550000011920929 2.9000000953674316 0.0
400.0 15.710000038146973 36.08000183105469 3.1500000953674316 14.800000190734863 0.8700000047683716 5.099999904632568 0.0
501.0 12.350000381469727 35.52899932861328 2.680000066757202 23.200000762939453 1.409999966621399 10.100000381469727 0.0
601.0 10.239999771118164 35.220001220703125 2.5899999141693115 28.399999618530273 1.7400000095367432 14.699999809265137 0.0
801.0 7.0 34.90999984741211 2.75 30.0 1.940000057220459 21.0 0.0
999.0 5.920000076293945 34.888999938964844 3.2100000381469727 31.600000381469727 2.0299999713897705 25.5 0.0
1200.0 5.071000099182129 34.92900085449219 3.7300000190734863 29.0 1.8700000047683716 26.700000762939453 0.0
1497.0 4.349999904632568 34.970001220703125 4.360000133514404 25.299999237060547 1.659999966621399 26.0 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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