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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - st100lay.ctd.nc - 27.0N, -91.04W - 1994-05-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st100lay_ctd)
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: 27)
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   27 options
    temperature ?  =  degree_C   27 options
    salinity ?  =  PSU   26 options
    oxygen ?  =  mililiter per liter   27 options
    pressure ?  =  decibars   27 options
    nitrite ?  =  micromols   7 options
    nitrate ?  =  micromols   11 options
    phosphate ?  =  micromols   10 options
    silicate ?  =  micromols   13 options
    salinity2 ?  =  PSU   13 options
    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 pressure nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU mililiter per liter decibars micromols micromols micromols micromols PSU
4.0 26.22559928894043 36.215301513671875 4.313000202178955 4.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.163799285888672 36.215301513671875 4.32859992980957 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 26.02899932861328 36.21390151977539 4.339300155639648 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.993600845336914 36.21220016479492 4.329100131988525 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 25.70949935913086 36.22719955444336 4.363399982452393 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 23.411800384521484 36.17020034790039 4.72629976272583 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 22.93000030517578 36.21670150756836 4.787600040435791 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 22.871000289916992 36.32780075073242 4.770500183105469 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 22.574899673461914 36.294498443603516 4.789000034332275 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 22.441099166870117 36.31079864501953 4.803100109100342 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 22.305400848388672 36.310001373291016 4.788899898529053 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 20.485000610351562 36.338199615478516 4.34689998626709 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 19.63050079345703 36.489898681640625 3.1043999195098877 100.0 0.0
124.0 17.7908992767334 36.35660171508789 2.8341000080108643 125.0 0.0
148.0 16.466999053955078 36.20899963378906 3.175100088119507 150.0 0.0
173.0 15.423199653625488 36.04349899291992 3.22979998588562 175.0 0.0
198.0 14.516400337219238 35.89659881591797 2.8380000591278076 200.0 0.0
248.0 12.931699752807617 35.63999938964844 2.9465999603271484 250.0 0.0
297.0 11.413399696350098 35.40169906616211 3.0106000900268555 300.0 0.0
396.0 9.650500297546387 35.17399978637695 2.701900005340576 400.0 0.0
495.0 8.121800422668457 34.99850082397461 2.8011999130249023 500.0 0.0
594.0 7.067299842834473 34.917701721191406 3.0380001068115234 600.0 0.0
693.0 6.2581000328063965 34.89030075073242 3.3592000007629395 700.0 0.0
743.0 5.901299953460693 34.890499114990234 3.5406999588012695 750.0 0.0
792.0 5.611299991607666 34.894798278808594 3.7153000831604004 800.0 0.0
891.0 5.188899993896484 34.90769958496094 4.0183000564575195 900.0 0.0
990.0 4.827300071716309 34.923301696777344 4.309500217437744 1000.0 0.0

In total, there are 27 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