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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00838058.bdo.nc - 25.72N, -84.73W - 1983-11-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838058_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   13 options
    oxygen ?  =  milliliters per liter   13 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   12 options
    silicate ?  =  micromols   13 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
2.0 26.118999481201172 36.16899871826172 4.230000019073486 -99.98999786376953 0.05999999865889549 1.0 0.0
49.0 25.959999084472656 36.220001220703125 4.28000020980835 0.10000000149011612 0.05999999865889549 1.100000023841858 0.0
100.0 20.020000457763672 36.459999084472656 3.0399999618530273 6.699999809265137 0.41999998688697815 3.0999999046325684 0.0
150.0 16.589000701904297 36.189998626708984 2.759999990463257 15.100000381469727 1.3600000143051147 5.900000095367432 0.0
200.0 14.449999809265137 35.880001068115234 2.6700000762939453 18.200000762939453 1.0800000429153442 7.599999904632568 0.0
300.0 11.359999656677246 35.40999984741211 2.5 24.600000381469727 1.559999942779541 12.699999809265137 0.0
400.0 9.319999694824219 35.130001068115234 2.490000009536743 27.700000762939453 1.809999942779541 16.5 0.0
500.0 7.940000057220459 34.979000091552734 2.5399999618530273 30.200000762939453 2.009999990463257 20.399999618530273 0.0
600.0 6.860000133514404 34.90999984741211 2.7699999809265137 30.200000762939453 2.0 22.899999618530273 0.0
800.0 5.610000133514404 34.89899826049805 3.7200000286102295 29.200000762939453 1.9600000381469727 25.899999618530273 0.0
899.0 5.289999961853027 34.91899871826172 3.559999942779541 28.100000381469727 1.8799999952316284 26.0 0.0
1000.0 4.931000232696533 34.92900085449219 3.9100000858306885 26.299999237060547 1.7899999618530273 25.700000762939453 0.0
1113.0 4.579999923706055 34.94900131225586 4.300000190734863 24.700000762939453 1.6699999570846558 25.299999237060547 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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