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Dataset Title:  "NEGOM CTD - n1l08s01.nc - 29.62N, 84.78W - 1997-11-21" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l08s01)
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: 13)
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   13 options
    depth ?  =  m   13 options
    temperature ?  =  degree_C   12 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   8 options
    salinity ?  =  PSU   9 options
    sigmat ?  =  kg m-3   5 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   11 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   13 options
    backscattering ?  =  volts   12 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)  

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
3.0 3.0 17.96470069885254 17.96419906616211 4.513400077819824 34.3760986328125 24.80299949645996 0.39399999380111694 3.4739999771118164 -9.0 -9.0 1.6109999418258667 1.0720000267028809
3.5 3.5 17.961000442504883 17.960399627685547 4.512800216674805 34.374000549316406 24.802400588989258 0.4860000014305115 3.4809999465942383 -9.0 -9.0 1.6269999742507935 0.9300000071525574
4.0 4.0 17.95789909362793 17.957199096679688 4.51230001449585 34.37229919433594 24.801799774169922 0.3100000023841858 3.507999897003174 -9.0 -9.0 1.621999979019165 0.8889999985694885
4.5 4.5 17.955400466918945 17.954599380493164 4.51200008392334 34.371299743652344 24.801700592041016 0.35899999737739563 3.5739998817443848 -9.0 -9.0 1.6069999933242798 0.9369999766349792
5.0 5.0 17.95439910888672 17.953500747680664 4.511899948120117 34.37099838256836 24.801700592041016 0.21799999475479126 3.5820000171661377 -9.0 -9.0 1.6130000352859497 0.9190000295639038
5.5 5.5 17.954299926757812 17.953399658203125 4.511899948120117 34.37099838256836 24.801799774169922 0.20200000703334808 3.611999988555908 -9.0 -9.0 1.61899995803833 0.9070000052452087
6.0 6.0 17.954200744628906 17.95319938659668 4.511899948120117 34.37089920043945 24.801700592041016 0.1940000057220459 3.6059999465942383 -9.0 -9.0 1.6480000019073486 0.8949999809265137
6.5 6.5 17.953500747680664 17.95240020751953 4.5117998123168945 34.37070083618164 24.801799774169922 0.26600000262260437 3.615999937057495 -9.0 -9.0 1.6299999952316284 0.8870000243186951
7.0 7.0 17.95330047607422 17.95210075378418 4.5117998123168945 34.37070083618164 24.801799774169922 0.22200000286102295 3.61899995803833 -9.0 -9.0 1.6349999904632568 0.8799999952316284
7.599999904632568 7.5 17.953100204467773 17.951799392700195 4.5117998123168945 34.370399475097656 24.801700592041016 0.4059999883174896 3.6059999465942383 -9.0 -9.0 1.6119999885559082 0.8859999775886536
8.100000381469727 8.0 17.954200744628906 17.952800750732422 4.51200008392334 34.37089920043945 24.801799774169922 0.3059999942779541 3.6029999256134033 -9.0 -9.0 1.6180000305175781 0.8960000276565552
8.600000381469727 8.5 17.955299377441406 17.953800201416016 4.5121002197265625 34.371299743652344 24.80190086364746 0.4869999885559082 3.6059999465942383 -9.0 -9.0 1.628999948501587 0.9070000052452087
9.100000381469727 9.0 17.955900192260742 17.95439910888672 4.512199878692627 34.371498107910156 24.80190086364746 0.21199999749660492 3.5899999141693115 -9.0 -9.0 1.6449999809265137 0.9520000219345093

In total, there are 13 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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