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Dataset Title:  "LATEX CTD - d92c074.nc - 28.97N, 90.51W - 1992-11-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d92c074)
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: 17)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   17 options
    depth ?  =  m   17 options
    temperature ?  =  degree_C   16 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   9 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   14 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   3 options
    parv ?  =  volts   3 options
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   1 option: -9.0

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)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
3.5 3.5 21.330400466918945 21.329700469970703 4.618100166320801 32.548301696777344 22.541099548339844 0.4339999854564667 0.25200000405311584 0.11999999731779099 0.11699999868869781 1.3270000219345093 -9.0
4.0 4.0 21.331100463867188 21.330400466918945 4.618800163269043 32.5531005859375 22.54450035095215 0.3479999899864197 0.23800000548362732 0.10000000149011612 0.014999999664723873 1.3259999752044678 -9.0
4.5 4.5 21.331300735473633 21.330400466918945 4.618800163269043 32.55329895019531 22.544700622558594 0.3050000071525574 0.22599999606609344 0.09000000357627869 0.0 1.3940000534057617 -9.0
5.0 5.0 21.33009910583496 21.329099655151367 4.619200229644775 32.556800842285156 22.547700881958008 0.5070000290870667 0.29100000858306885 0.09000000357627869 0.0 1.4910000562667847 -9.0
5.5 5.5 21.328100204467773 21.32710075378418 4.619200229644775 32.55820083618164 22.549299240112305 0.628000020980835 0.35499998927116394 0.09000000357627869 0.0 1.4229999780654907 -9.0
6.0 6.0 21.32900047302246 21.327800750732422 4.619200229644775 32.55699920654297 22.548200607299805 0.5540000200271606 0.36500000953674316 0.09000000357627869 0.0 1.4259999990463257 -9.0
6.5 6.5 21.329700469970703 21.328500747680664 4.619100093841553 32.555999755859375 22.547300338745117 0.2809999883174896 0.382999986410141 0.09000000357627869 0.0 1.3650000095367432 -9.0
7.0 7.0 21.329999923706055 21.328699111938477 4.619100093841553 32.55550003051758 22.54680061340332 0.5260000228881836 0.33799999952316284 0.09000000357627869 0.0 1.3760000467300415 -9.0
7.599999904632568 7.5 21.33049964904785 21.32900047302246 4.619200229644775 32.555599212646484 22.54680061340332 0.7379999756813049 0.35199999809265137 0.09000000357627869 0.0 1.3339999914169312 -9.0
8.100000381469727 8.0 21.33060073852539 21.329099655151367 4.61929988861084 32.55659866333008 22.547500610351562 0.7620000243186951 0.38499999046325684 0.09000000357627869 0.0 1.3220000267028809 -9.0
8.600000381469727 8.5 21.33009910583496 21.328399658203125 4.619500160217285 32.557899475097656 22.5487003326416 0.550000011920929 0.3779999911785126 0.09000000357627869 0.0 1.3289999961853027 -9.0
9.100000381469727 9.0 21.330699920654297 21.32900047302246 4.619200229644775 32.55509948730469 22.546499252319336 0.23100000619888306 0.27399998903274536 0.09000000357627869 0.0 1.6970000267028809 -9.0
9.600000381469727 9.5 21.333499908447266 21.33169937133789 4.61929988861084 32.55350112915039 22.54450035095215 0.8109999895095825 0.2070000022649765 0.09000000357627869 0.0 1.5329999923706055 -9.0
10.100000381469727 10.0 21.33329963684082 21.33139991760254 4.61899995803833 32.55080032348633 22.542499542236328 0.9649999737739563 0.1340000033378601 0.09000000357627869 0.0 1.5180000066757202 -9.0
10.600000381469727 10.5 21.335599899291992 21.333599090576172 4.619500160217285 32.55350112915039 22.54400062561035 0.9430000185966492 0.10400000214576721 0.09000000357627869 0.0 1.5130000114440918 -9.0
11.100000381469727 11.0 21.33799934387207 21.335899353027344 4.6203999519348145 32.55799865722656 22.54680061340332 0.6869999766349792 0.09000000357627869 0.09000000357627869 0.0 1.6119999885559082 -9.0
11.600000381469727 11.5 21.335800170898438 21.333599090576172 4.620299816131592 32.558799743652344 22.54800033569336 0.16599999368190765 0.08799999952316284 0.09000000357627869 0.0 1.5770000219345093 -9.0

In total, there are 17 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.


 
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