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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 00830668.bdo.nc - 25.65N, -85.02W - 1983-03-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_00830668_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   10 options
    nitrite ?  =  not-measured   1 option:
    nitrate ?  =  micromols   12 options
    phosphate ?  =  micromols   13 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
2.0 23.440000534057617 36.220001220703125 4.800000190734863 -99.98999786376953 0.019999999552965164 0.4000000059604645 0.0
47.0 20.850000381469727 36.11899948120117 4.949999809265137 1.100000023841858 0.029999999329447746 1.100000023841858 0.0
100.0 19.91900062561035 36.29999923706055 -99.98999786376953 2.200000047683716 0.05000000074505806 1.399999976158142 0.0
150.0 16.089000701904297 36.11000061035156 -99.98999786376953 15.5 0.5899999737739563 5.599999904632568 0.0
200.0 13.59000015258789 35.75 -99.98999786376953 21.0 0.8600000143051147 8.600000381469727 0.0
300.0 10.649999618530273 35.308998107910156 2.75 27.200000762939453 1.6399999856948853 21.399999618530273 0.0
401.0 9.220000267028809 35.11000061035156 2.8499999046325684 30.200000762939453 1.809999942779541 24.299999237060547 0.0
499.0 7.559999942779541 34.939998626708984 3.0 31.899999618530273 1.9500000476837158 26.299999237060547 0.0
600.0 6.570000171661377 34.888999938964844 3.299999952316284 31.899999618530273 2.049999952316284 26.899999618530273 0.0
800.0 5.479000091552734 34.90999984741211 4.0 30.0 1.899999976158142 25.799999237060547 0.0
1000.0 4.698999881744385 34.939998626708984 4.25 27.399999618530273 1.7799999713897705 25.700000762939453 0.0
1200.0 4.36899995803833 34.959999084472656 4.900000095367432 25.299999237060547 1.590000033378601 13.0 0.0
1499.0 4.239999771118164 34.970001220703125 4.949999809265137 24.700000762939453 1.5700000524520874 16.399999618530273 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