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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00838026.bdo.nc - 25.45N, -85.65W - 1983-11-13" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838026_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: 12)
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   12 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   11 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
9.0 27.679000854492188 36.189998626708984 3.8399999141693115 -99.98999786376953 0.05999999865889549 1.2999999523162842 0.0
49.0 27.589000701904297 36.19900131225586 4.150000095367432 -99.98999786376953 0.05999999865889549 1.2000000476837158 0.0
100.0 27.55900001525879 36.220001220703125 4.090000152587891 0.20000000298023224 0.10000000149011612 1.5 0.0
149.0 24.888999938964844 36.61000061035156 3.609999895095825 1.899999976158142 0.1899999976158142 1.399999976158142 0.0
200.0 22.459999084472656 36.819000244140625 3.380000114440918 3.5999999046325684 0.27000001072883606 1.600000023841858 0.0
299.0 18.079999923706055 36.439998626708984 3.309999942779541 9.300000190734863 0.5600000023841858 3.200000047683716 0.0
400.0 15.279999732971191 36.00899887084961 3.0799999237060547 15.300000190734863 0.8999999761581421 5.900000095367432 0.0
600.0 10.3100004196167 35.25899887084961 2.5199999809265137 27.299999237060547 1.7100000381469727 14.600000381469727 0.0
801.0 7.099999904632568 34.90999984741211 2.7899999618530273 30.899999618530273 2.0999999046325684 22.299999237060547 0.0
1001.0 5.448999881744385 34.90999984741211 3.549999952316284 28.5 1.9199999570846558 25.600000381469727 0.0
1199.0 4.71999979019165 34.94900131225586 4.050000190734863 26.5 1.7400000095367432 26.200000762939453 0.0
1500.0 4.289999961853027 34.970001220703125 4.46999979019165 24.399999618530273 1.600000023841858 25.700000762939453 0.0

In total, there are 12 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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