GCOOS Metocean: Historical collections
   
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 9010101a.bdo.nc - 28.26N, -89.57W - 1990-07-22" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_9010101a_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: 10)
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   10 options
    temperature ?  =  degree_C   10 options
    salinity ?  =  PSU   10 options
    oxygen ?  =  milliliters per liter   10 options
    nitrite ?  =  micromols per liter   9 options
    nitrate ?  =  micromols   9 options
    phosphate ?  =  micromols per liter   10 options
    silicate ?  =  micromols per liter   10 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 micromols per liter micromols micromols per liter micromols per liter PSU
1.0 28.979999542236328 34.124000549316406 4.543000221252441 0.05000000074505806 0.4000000059604645 0.029999999329447746 2.4000000953674316 0.0
51.0 22.670000076293945 36.292999267578125 5.002999782562256 0.09000000357627869 0.4000000059604645 0.05000000074505806 3.299999952316284 0.0
76.0 20.440000534057617 36.4010009765625 4.185999870300293 0.3400000035762787 2.799999952316284 0.15000000596046448 3.9000000953674316 0.0
149.0 16.290000915527344 -99.98999786376953 3.421999931335449 0.11999999731779099 9.800000190734863 0.550000011920929 5.5 1.0
160.0 36.16600036621094 3.130000114440918 0.10000000149011612 15.399999618530273 0.8399999737739563 7.400000095367432 0.0
198.0 14.9399995803833 35.94499969482422 3.2950000762939453 0.10999999940395355 14.899999618530273 0.9900000095367432 8.300000190734863 0.0
248.0 13.149999618530273 35.65800094604492 3.062000036239624 0.12999999523162842 19.299999237060547 1.2200000286102295 10.899999618530273 0.0
297.0 11.970000267028809 35.481998443603516 2.8989999294281006 0.14000000059604645 22.700000762939453 1.3899999856948853 13.199999809265137 0.0
398.0 9.869999885559082 35.18000030517578 2.765000104904175 0.17000000178813934 29.799999237060547 1.7000000476837158 17.700000762939453 0.0
750.0 5.789999961853027 34.893001556396484 3.556999921798706 0.17000000178813934 31.700000762939453 1.8600000143051147 27.600000381469727 0.0

In total, there are 10 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.


 
ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact