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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00837936.bdo.nc - 25.0N, -84.38W - 1983-11-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00837936_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   12 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols   11 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 25.719999313354492 35.86899948120117 4.320000171661377 -99.98999786376953 0.10000000149011612 1.0 0.0
49.0 24.350000381469727 36.220001220703125 3.759999990463257 0.10000000149011612 0.07000000029802322 1.2000000476837158 0.0
99.0 18.611000061035156 36.40999984741211 3.390000104904175 10.0 0.5799999833106995 3.4000000953674316 0.0
150.0 16.118999481201172 36.138999938964844 2.680000066757202 15.800000190734863 0.9800000190734863 5.599999904632568 0.0
199.0 13.609999656677246 35.75 2.6600000858306885 20.5 1.2400000095367432 7.900000095367432 0.0
298.0 11.119999885559082 35.36000061035156 2.549999952316284 25.799999237060547 1.6699999570846558 12.5 0.0
399.0 9.539999961853027 35.14899826049805 2.819999933242798 29.200000762939453 1.8200000524520874 15.5 0.0
500.0 8.609999656677246 35.03900146484375 2.450000047683716 30.299999237060547 1.9700000286102295 17.899999618530273 0.0
600.0 7.630000114440918 34.94900131225586 2.509999990463257 31.200000762939453 2.0799999237060547 20.5 0.0
800.0 5.479000091552734 34.90999984741211 3.4200000762939453 29.299999237060547 1.9700000286102295 25.299999237060547 0.0
1000.0 5.03000020980835 34.92900085449219 3.8399999141693115 27.799999237060547 1.8600000143051147 25.5 0.0
1200.0 4.610000133514404 34.94900131225586 4.050000190734863 26.0 1.7400000095367432 25.100000381469727 0.0
1260.0 4.420000076293945 -99.9000015258789 4.050000190734863 24.799999237060547 1.6699999570846558 23.399999618530273 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.


 
ERDDAP, Version 2.23
Disclaimers | Privacy Policy | Contact