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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00830404.bdo.nc - 24.5N, -87.17W - 1983-03-16" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830404_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   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
4.0 25.209999084472656 36.02899932861328 4.75 -99.98999786376953 0.009999999776482582 1.7999999523162842 0.0
50.0 25.118999481201172 36.04999923706055 4.75 -99.98999786376953 -99.98999786376953 1.899999976158142 0.0
100.0 25.009000778198242 36.06999969482422 -99.98999786376953 0.30000001192092896 -99.98999786376953 1.0 0.0
149.0 24.100000381469727 36.33000183105469 4.550000190734863 1.0 -99.98999786376953 0.8999999761581421 0.0
198.0 22.038999557495117 36.720001220703125 3.5 5.699999809265137 0.15000000596046448 2.0 0.0
300.0 17.97100067138672 36.439998626708984 3.8499999046325684 10.100000381469727 0.46000000834465027 3.200000047683716 0.0
400.0 15.4399995803833 36.03900146484375 3.359999895095825 15.699999809265137 0.8600000143051147 5.699999809265137 0.0
501.0 12.479999542236328 35.56999969482422 2.9100000858306885 19.600000381469727 1.1100000143051147 13.100000381469727 0.0
601.0 10.050000190734863 35.19900131225586 2.759999990463257 27.399999618530273 1.6200000047683716 14.300000190734863 0.0
800.0 7.019999980926514 34.880001068115234 3.1500000953674316 29.0 1.850000023841858 20.100000381469727 0.0
1000.0 5.139999866485596 34.91899871826172 3.9000000953674316 29.0 1.8700000047683716 26.700000762939453 0.0
1200.0 4.53000020980835 34.959999084472656 4.699999809265137 26.399999618530273 1.7000000476837158 26.700000762939453 0.0
1450.0 4.28000020980835 34.970001220703125 4.570000171661377 22.0 1.3700000047683716 21.0 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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