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

ERDDAP > tabledap > Subset ?

Dataset Title:  "Deepwater CTD - st105lay.ctd.nc - 26.0N, -91.01W - 1994-05-00" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_st105lay_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   27 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
2.0 26.055700302124023 36.35049819946289 3.6143999099731445 2.0 0.0 0.07999999821186066 0.019999999552965164 1.3300000429153442 36.10300064086914 0.0
5.0 26.21489906311035 36.37220001220703 4.254799842834473 5.0 0.0 0.07999999821186066 0.009999999776482582 1.1799999475479126 36.09299850463867 0.0
9.0 25.88290023803711 36.36360168457031 4.2835001945495605 10.0 0.0 0.10999999940395355 0.0 1.1299999952316284 36.09400177001953 0.0
14.0 25.82830047607422 36.36180114746094 4.315299987792969 15.0 0.0 0.10999999940395355 0.009999999776482582 1.0499999523162842 36.09600067138672 0.0
19.0 25.464000701904297 36.34239959716797 4.351600170135498 20.0 0.009999999776482582 0.10000000149011612 0.009999999776482582 1.409999966621399 36.2859992980957 0.0
24.0 24.510299682617188 36.342899322509766 4.508200168609619 25.0 0.05999999865889549 0.03999999910593033 0.009999999776482582 0.7799999713897705 36.334999084472656 0.0
29.0 23.489299774169922 36.4025993347168 4.630300045013428 30.0 0.14000000059604645 0.029999999329447746 0.029999999329447746 0.25999999046325684 36.358001708984375 0.0
34.0 23.156299591064453 36.41130065917969 4.7052998542785645 35.0 0.029999999329447746 9.100000381469727 0.44999998807907104 2.549999952316284 36.40700149536133 0.0
39.0 22.509000778198242 36.407100677490234 4.7795000076293945 40.0 0.019999999552965164 12.359999656677246 0.6200000047683716 3.4100000858306885 36.388999938964844 0.0
44.0 22.291500091552734 36.40760040283203 4.785600185394287 45.0 0.019999999552965164 15.520000457763672 0.8100000023841858 4.590000152587891 36.22200012207031 0.0
49.0 22.145299911499023 36.40850067138672 4.781700134277344 50.0 0.019999999552965164 19.709999084472656 1.059999942779541 6.880000114440918 35.85200119018555 0.0
74.0 20.98110008239746 36.371498107910156 4.847599983215332 75.0 0.019999999552965164 21.229999542236328 1.2000000476837158 8.069999694824219 35.73099899291992 0.0
99.0 20.002399444580078 36.32160186767578 4.541800022125244 100.0 0.0
124.0 18.200300216674805 36.334800720214844 3.3777999877929688 125.0 0.0
148.0 16.047500610351562 36.10319900512695 2.8387999534606934 150.0 0.0
173.0 13.881099700927734 35.79890060424805 2.808799982070923 175.0 0.0
198.0 12.381099700927734 35.570701599121094 2.82450008392334 200.0 0.0
248.0 10.282299995422363 35.26449966430664 2.833699941635132 250.0 0.0
297.0 8.8233003616333 35.06549835205078 2.919300079345703 300.0 0.0
396.0 7.494699954986572 34.93320083618164 3.0980000495910645 400.0 0.0
495.0 6.595900058746338 34.88869857788086 3.3622000217437744 500.0 0.0
594.0 5.953499794006348 34.88460159301758 3.653700113296509 600.0 0.0
693.0 5.449900150299072 34.89759826660156 3.9256999492645264 700.0 0.0
743.0 5.258399963378906 34.904598236083984 4.051599979400635 750.0 0.0
792.0 5.1381001472473145 34.909000396728516 4.125400066375732 800.0 0.0
891.0 4.822500228881836 34.92319869995117 4.374599933624268 900.0 0.0
990.0 4.570799827575684 34.93539810180664 4.605199813842773 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