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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 88g0524.bdo.nc - 26.53N, -94.79W - 1988-10-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0524_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: 24)
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   21 options
    temperature ?  =  degree_C   21 options
    salinity ?  =  PSU   20 options
    oxygen ?  =  milliliters per liter   23 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols per liter   15 options
    silicate ?  =  micromols per liter   19 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
10.0 26.489999771118164 36.242000579833984 4.888000011444092 0.009999999776482582 0.03999999910593033 0.019999999552965164 1.600000023841858 0.0
20.0 26.489999771118164 36.26499938964844 4.765999794006348 0.009999999776482582 0.029999999329447746 0.019999999552965164 1.5 0.0
30.0 26.549999237060547 36.604000091552734 4.9070000648498535 0.009999999776482582 0.029999999329447746 0.0 0.4000000059604645 0.0
40.0 26.440000534057617 36.60599899291992 4.8520002365112305 0.009999999776482582 0.029999999329447746 0.0 0.699999988079071 0.0
50.0 26.479999542236328 36.63999938964844 4.914999961853027 0.009999999776482582 0.029999999329447746 0.0 0.699999988079071 0.0
60.0 23.559999465942383 36.52000045776367 5.383999824523926 0.009999999776482582 0.029999999329447746 0.0 0.699999988079071 0.0
70.0 22.93000030517578 36.53300094604492 5.09499979019165 0.009999999776482582 0.029999999329447746 0.009999999776482582 0.6000000238418579 0.0
80.0 22.639999389648438 36.5369987487793 5.0279998779296875 0.009999999776482582 0.029999999329447746 0.009999999776482582 0.699999988079071 0.0
90.0 22.260000228881836 36.534000396728516 4.86899995803833 0.009999999776482582 0.029999999329447746 0.009999999776482582 0.30000001192092896 0.0
100.0 21.959999084472656 36.529998779296875 4.9629998207092285 0.029999999329447746 0.009999999776482582 0.019999999552965164 0.30000001192092896 0.0
110.0 21.719999313354492 0.0
125.0 21.420000076293945 36.5359992980957 4.696000099182129 0.07999999821186066 0.6000000238418579 0.03999999910593033 0.07999999821186066 0.0
150.0 21.25 36.5359992980957 4.603000164031982 0.07000000029802322 0.6000000238418579 0.05000000074505806 0.03999999910593033 0.0
175.0 20.399999618530273 36.5359992980957 4.546999931335449 0.029999999329447746 1.7999999523162842 0.10000000149011612 0.05000000074505806 0.0
200.0 19.68000030517578 36.48899841308594 3.5439999103546143 0.019999999552965164 7.300000190734863 0.4099999964237213 1.899999976158142 0.0
200.0 19.68000030517578 36.48899841308594 3.566999912261963 0.009999999776482582 7.300000190734863 0.4000000059604645 1.899999976158142 0.0
250.0 16.850000381469727 36.21500015258789 2.821000099182129 0.009999999776482582 15.0 0.8600000143051147 5.099999904632568 0.0
400.0 11.720000267028809 35.4739990234375 2.509000062942505 0.009999999776482582 25.200000762939453 1.4800000190734863 11.600000381469727 1.0
400.0 11.859999656677246 35.472999572753906 2.5390000343322754 0.009999999776482582 25.200000762939453 1.4800000190734863 11.5 0.0
600.0 8.260000228881836 35.0359992980957 2.619999885559082 0.009999999776482582 31.0 1.8899999856948853 18.5 1.0
700.0 7.130000114440918 34.926998138427734 2.8459999561309814 0.009999999776482582 32.0 1.9600000381469727 21.5 0.0
800.0 6.289999961853027 34.89899826049805 3.184000015258789 0.019999999552965164 31.399999618530273 1.940000057220459 24.600000381469727 0.0
900.0 5.639999866485596 34.9010009765625 0.019999999552965164 29.799999237060547 1.8700000047683716 25.5 0.0
900.0 5.639999866485596 34.9010009765625 3.572999954223633 0.019999999552965164 29.799999237060547 1.8700000047683716 25.100000381469727 0.0

In total, there are 24 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