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ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00838130.bdo.nc - 26.63N, -85.02W - 1983-11-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838130_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   11 options
    silicate ?  =  micromols   12 options
    salinity2 ?  =  PSU   1 option:
    qualityFlag ?  =  2 options

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 24.929000854492188 35.61899948120117 4.480000019073486 0.20000000298023224 0.07000000029802322 1.2999999523162842 0.0
49.0 24.350000381469727 36.229000091552734 4.239999771118164 0.20000000298023224 0.07000000029802322 1.7999999523162842 0.0
100.0 18.16900062561035 36.31999969482422 2.890000104904175 11.800000190734863 0.6700000166893005 5.199999809265137 0.0
149.0 14.069999694824219 35.8390007019043 2.5799999237060547 19.5 1.5700000524520874 8.600000381469727 1.0
200.0 12.369999885559082 35.56999969482422 2.490000009536743 23.600000381469727 1.3899999856948853 11.5 1.0
299.0 9.729999542236328 35.17900085449219 2.440000057220459 28.600000381469727 1.7899999618530273 16.299999237060547 0.0
398.0 8.109999656677246 34.9900016784668 2.5399999618530273 31.200000762939453 1.9199999570846558 20.0 0.0
499.0 7.110000133514404 34.91899871826172 2.740000009536743 31.700000762939453 2.009999990463257 22.600000381469727 0.0
600.0 6.25 34.888999938964844 3.009999990463257 31.100000381469727 1.9900000095367432 24.799999237060547 0.0
798.0 5.309000015258789 34.90999984741211 3.5 28.700000762939453 1.7899999618530273 26.399999618530273 0.0
998.0 4.710999965667725 34.939998626708984 3.9700000286102295 26.5 1.7300000190734863 26.399999618530273 0.0
1200.0 4.380000114440918 34.959999084472656 4.25 24.899999618530273 1.649999976158142 25.700000762939453 0.0
1508.0 4.25 34.970001220703125 4.460000038146973 23.799999237060547 1.5 25.5 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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