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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - 88g0526.bdo.nc - 26.6N, -94.71W - 1988-10-20" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0526_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   22 options
    temperature ?  =  degree_C   21 options
    salinity ?  =  PSU   23 options
    oxygen ?  =  milliliters per liter   24 options
    nitrite ?  =  micromols per liter   7 options
    nitrate ?  =  micromols   13 options
    phosphate ?  =  micromols per liter   13 options
    silicate ?  =  micromols per liter   14 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 micromols per liter micromols micromols per liter micromols per liter PSU
10.0 26.649999618530273 36.191001892089844 4.742000102996826 0.0 0.03999999910593033 0.019999999552965164 2.0999999046325684 0.0
20.0 26.610000610351562 36.17499923706055 4.697999954223633 0.0 0.03999999910593033 0.019999999552965164 2.0999999046325684 0.0
30.0 26.649999618530273 36.198001861572266 4.5960001945495605 0.0 0.10000000149011612 0.019999999552965164 1.899999976158142 0.0
40.0 26.6200008392334 36.50699996948242 4.747000217437744 0.0 0.10000000149011612 0.009999999776482582 1.100000023841858 0.0
50.0 25.5 36.584999084472656 5.001999855041504 0.0 0.10000000149011612 0.009999999776482582 1.100000023841858 0.0
60.0 23.809999465942383 36.52299880981445 5.364999771118164 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.0 0.0
70.0 23.1200008392334 36.527000427246094 5.1570000648498535 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.100000023841858 0.0
80.0 22.610000610351562 36.51900100708008 4.9710001945495605 0.009999999776482582 0.10000000149011612 0.009999999776482582 0.6000000238418579 0.0
90.0 22.18000030517578 36.527000427246094 4.802000045776367 0.029999999329447746 0.10000000149011612 0.019999999552965164 1.0 0.0
100.0 21.93000030517578 36.52799987792969 4.885000228881836 0.029999999329447746 0.10000000149011612 0.019999999552965164 0.6000000238418579 0.0
110.0 21.59000015258789 36.529998779296875 4.693999767303467 0.17000000178813934 0.10000000149011612 0.019999999552965164 0.6000000238418579 0.0
125.0 21.360000610351562 36.53099822998047 4.60699987411499 0.18000000715255737 0.10000000149011612 0.019999999552965164 0.6000000238418579 0.0
150.0 20.8799991607666 36.53499984741211 4.495999813079834 0.05999999865889549 1.0 0.05999999865889549 0.6000000238418579 0.0
175.0 19.899999618530273 36.525001525878906 4.438000202178955 0.029999999329447746 2.0999999046325684 0.10999999940395355 1.100000023841858 0.0
200.0 18.969999313354492 36.472999572753906 3.1080000400543213 0.009999999776482582 10.300000190734863 0.5400000214576721 3.0 0.0
200.0 18.969999313354492 36.479000091552734 3.8989999294281006 0.019999999552965164 5.400000095367432 0.28999999165534973 1.899999976158142 0.0
300.0 14.369999885559082 35.85900115966797 2.6640000343322754 0.009999999776482582 19.600000381469727 1.149999976158142 7.5 0.0
400.0 11.699999809265137 35.4379997253418 2.5280001163482666 0.009999999776482582 25.0 1.5 11.699999809265137 0.0
500.0 9.5600004196167 35.165000915527344 2.5439999103546143 0.009999999776482582 28.399999618530273 1.75 15.699999809265137 0.0
600.0 8.1899995803833 35.01599884033203 2.6089999675750732 0.009999999776482582 30.0 1.8799999952316284 18.799999237060547 0.0
700.0 7.139999866485596 34.92499923706055 2.872999906539917 0.009999999776482582 30.700000762939453 1.940000057220459 22.0 0.0
800.0 6.190000057220459 34.89799880981445 3.2209999561309814 0.009999999776482582 29.799999237060547 1.9299999475479126 24.399999618530273 0.0
900.0 5.630000114440918 34.9010009765625 3.5399999618530273 0.009999999776482582 28.700000762939453 1.850000023841858 25.799999237060547 0.0
900.0 5.630000114440918 34.904998779296875 3.5439999103546143 0.009999999776482582 28.700000762939453 1.850000023841858 25.5 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