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Dataset Title:  "NEGOM CTD - n6l08s01.nc - 29.6N, 84.78W - 1999-00-24" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l08s01)
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: 21)
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   21 options
    depth ?  =  m   21 options
    temperature ?  =  degree_C   21 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   20 options
    salinity ?  =  PSU   17 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   20 options
    transmission ?  =  percent   18 options
    par ?  =  umol m-2 s-1   21 options
    parv ?  =  volts   21 options
    fluorescence ?  =  volts   21 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
2.0 2.0 30.863399505615234 30.862899780273438 5.9878997802734375 35.39780044555664 21.726699829101562 -0.06199999898672104 4.130000114440918 877.5999755859375 3.2839999198913574 1.187999963760376 -9.0
2.5 2.5 30.84910011291504 30.848499298095703 5.986599922180176 35.399200439453125 21.732799530029297 0.3190000057220459 4.125 397.79998779296875 2.884000062942505 1.1920000314712524 -9.0
3.0 3.0 30.810800552368164 30.809999465942383 5.982800006866455 35.40129852294922 21.747699737548828 0.3009999990463257 4.124000072479248 293.8999938964844 2.765000104904175 1.128000020980835 -9.0
3.5 3.5 30.79680061340332 30.795900344848633 5.981400012969971 35.402099609375 21.75320053100586 0.2639999985694885 4.126999855041504 277.5 2.7309999465942383 1.1740000247955322 -9.0
4.0 4.0 30.806800842285156 30.80579948425293 5.982399940490723 35.400901794433594 21.748899459838867 0.3409999907016754 4.122000217437744 242.60000610351562 2.680999994277954 1.184999942779541 -9.0
4.5 4.5 30.766000747680664 30.76490020751953 5.978400230407715 35.40399932861328 21.765399932861328 0.2639999985694885 4.117000102996826 181.89999389648438 2.552000045776367 1.2100000381469727 -9.0
5.0 5.0 30.720500946044922 30.719200134277344 5.974299907684326 35.409000396728516 21.78499984741211 0.30799999833106995 4.114999771118164 161.10000610351562 2.505000114440918 1.2410000562667847 -9.0
5.5 5.5 30.706499099731445 30.70509910583496 5.972899913787842 35.4099006652832 21.790599822998047 0.39800000190734863 4.111999988555908 149.3000030517578 2.4730000495910645 1.2300000190734863 -9.0
6.0 6.0 30.69879913330078 30.69729995727539 5.972099781036377 35.410301208496094 21.79360008239746 0.3540000021457672 4.105999946594238 168.6999969482422 2.5239999294281006 1.2359999418258667 -9.0
6.5 6.5 30.688199996948242 30.686500549316406 5.971099853515625 35.4109001159668 21.797800064086914 0.2409999966621399 4.1020002365112305 158.3000030517578 2.496000051498413 1.2690000534057617 -9.0
7.0 7.0 30.678699493408203 30.67690086364746 5.970099925994873 35.410701751708984 21.801000595092773 0.3050000071525574 4.0920000076293945 151.1999969482422 2.4779999256134033 1.2680000066757202 -9.0
7.599999904632568 7.5 30.671499252319336 30.669599533081055 5.969299793243408 35.410499572753906 21.803300857543945 0.37700000405311584 4.0970001220703125 146.8000030517578 2.4649999141693115 1.2890000343322754 -9.0
8.100000381469727 8.0 30.6643009185791 30.66230010986328 5.968599796295166 35.4109001159668 21.80620002746582 0.3019999861717224 4.0960001945495605 132.60000610351562 2.4189999103546143 1.2960000038146973 -9.0
8.600000381469727 8.5 30.655500411987305 30.65329933166504 5.967800140380859 35.411800384521484 21.809900283813477 0.25200000405311584 4.0920000076293945 133.39999389648438 2.4210000038146973 1.2790000438690186 -9.0
9.100000381469727 9.0 30.643699645996094 30.641399383544922 5.966300010681152 35.410499572753906 21.813100814819336 0.36800000071525574 4.0920000076293945 121.9000015258789 2.384999990463257 1.2740000486373901 -9.0
9.600000381469727 9.5 30.63629913330078 30.633899688720703 5.9654998779296875 35.40999984741211 21.815399169921875 0.4020000100135803 4.0879998207092285 117.69999694824219 2.36899995803833 1.284999966621399 -9.0
10.100000381469727 10.0 30.620899200439453 30.61840057373047 5.963900089263916 35.410701751708984 21.821300506591797 0.28200000524520874 4.091000080108643 105.80000305175781 2.322999954223633 1.2940000295639038 -9.0
10.600000381469727 10.5 30.595800399780273 30.59309959411621 5.9618000984191895 35.41419982910156 21.832599639892578 0.18799999356269836 4.091000080108643 95.52999877929688 2.2790000438690186 1.3029999732971191 -9.0
11.100000381469727 11.0 30.5216007232666 30.518800735473633 5.952300071716309 35.40480041503906 21.851299285888672 0.23100000619888306 4.081999778747559 93.83000183105469 2.2709999084472656 1.340999960899353 -9.0
11.600000381469727 11.5 30.516300201416016 30.513399124145508 5.951499938964844 35.40299987792969 21.8518009185791 0.22499999403953552 4.061999797821045 88.12000274658203 2.24399995803833 1.3849999904632568 -9.0
12.100000381469727 12.0 30.51609992980957 30.513099670410156 5.951499938964844 35.40299987792969 21.851999282836914 0.0820000022649765 4.021999835968018 80.33999633789062 2.2049999237060547 1.3760000467300415 -9.0

In total, there are 21 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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