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Dataset Title:  "Deepwater CTD - 00838034.bdo.nc - 25.55N, -85.32W - 1983-11-14" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00838034_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   12 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
4.0 27.65999984741211 36.16899871826172 4.159999847412109 -99.98999786376953 0.05999999865889549 1.100000023841858 0.0
50.0 27.66900062561035 36.189998626708984 4.130000114440918 -99.98999786376953 0.07000000029802322 1.2999999523162842 0.0
99.0 27.360000610351562 36.229000091552734 4.010000228881836 0.4000000059604645 0.07000000029802322 1.2000000476837158 0.0
150.0 23.64900016784668 36.77899932861328 3.490000009536743 2.700000047683716 0.2199999988079071 1.399999976158142 0.0
200.0 20.190000534057617 36.67900085449219 3.299999952316284 5.599999904632568 0.3700000047683716 2.200000047683716 0.0
300.0 16.39900016784668 36.189998626708984 3.3399999141693115 12.800000190734863 0.7599999904632568 4.5 0.0
401.0 13.520000457763672 35.709999084472656 2.809999942779541 20.700000762939453 1.2799999713897705 9.100000381469727 0.0
500.0 11.109999656677246 35.36000061035156 2.5199999809265137 26.0 1.649999976158142 13.5 0.0
600.0 9.119999885559082 35.0890007019043 2.5299999713897705 29.399999618530273 1.899999976158142 17.399999618530273 0.0
801.0 6.380000114440918 34.880001068115234 2.9800000190734863 30.799999237060547 2.0199999809265137 24.0 0.0
999.0 5.130000114440918 34.91899871826172 3.7200000286102295 27.899999618530273 1.5800000429153442 26.299999237060547 0.0
1199.0 4.519999980926514 34.959999084472656 4.210000038146973 25.399999618530273 1.399999976158142 26.200000762939453 0.0
1485.0 4.258999824523926 34.970001220703125 4.480000019073486 24.200000762939453 1.559999942779541 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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