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Dataset Title:  "NEGOM CTD - n5l09s01.nc - 29.52N, 83.58W - 1999-05-21" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l09s01)
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: 14)
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   14 options
    depth ?  =  m   14 options
    temperature ?  =  degree_C   14 options
    potentialTemperature ?  =  degree_C   14 options
    conductivity ?  =  Siemens per meter   14 options
    salinity ?  =  PSU   14 options
    sigmat ?  =  kg m-3   14 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   12 options
    par ?  =  umol m-2 s-1   14 options
    parv ?  =  volts   14 options
    fluorescence ?  =  volts   14 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
2.0 2.0 26.556400299072266 26.55590057373047 5.2941999435424805 33.734798431396484 21.905500411987305 0.0010000000474974513 4.255000114440918 2876.0 3.763000011444092 0.9509999752044678 2.11899995803833
2.5 2.5 26.37220001220703 26.371599197387695 5.276599884033203 33.74259948730469 21.969200134277344 0.19099999964237213 4.2220001220703125 2534.0 3.690999984741211 0.9480000138282776 2.0959999561309814
3.0 3.0 26.190500259399414 26.189800262451172 5.259500026702881 33.75270080566406 22.033599853515625 0.18400000035762787 4.182000160217285 974.0999755859375 3.2950000762939453 0.9940000176429749 2.109999895095825
3.5 3.5 26.204599380493164 26.203800201416016 5.261300086975098 33.754798889160156 22.030799865722656 0.17299999296665192 4.183000087738037 960.0 3.2799999713897705 1.0529999732971191 2.115000009536743
4.0 4.0 26.037799835205078 26.03689956665039 5.246300220489502 33.7692985534668 22.093700408935547 0.1889999955892563 4.178999900817871 912.4000244140625 3.257999897003174 1.090999960899353 2.124000072479248
4.5 4.5 25.874399185180664 25.87339973449707 5.233500003814697 33.79710006713867 22.165300369262695 0.17100000381469727 4.175000190734863 814.5999755859375 3.2079999446868896 1.0850000381469727 2.134999990463257
5.0 5.0 25.82309913635254 25.82200050354004 5.232699871063232 33.8286018371582 22.204999923706055 0.19699999690055847 4.179999828338623 732.9000244140625 3.1630001068115234 1.0720000267028809 2.1419999599456787
5.5 5.5 25.786800384521484 25.785600662231445 5.2322998046875 33.852699279785156 22.234399795532227 0.18000000715255737 4.184000015258789 663.0999755859375 3.119999885559082 1.0839999914169312 2.130000114440918
6.0 6.0 25.735200881958008 25.73390007019043 5.231100082397461 33.881900787353516 22.272300720214844 0.17900000512599945 4.192999839782715 580.0 3.062000036239624 1.1009999513626099 2.134999990463257
6.5 6.5 25.683000564575195 25.68160057067871 5.229300022125244 33.90760040283203 22.30780029296875 0.19300000369548798 4.190000057220459 543.2000122070312 3.0329999923706055 1.0829999446868896 2.131999969482422
7.0 7.0 25.63789939880371 25.63640022277832 5.228700160980225 33.936798095703125 22.343799591064453 0.1770000010728836 4.184999942779541 476.6000061035156 2.9760000705718994 1.121999979019165 2.1440000534057617
7.599999904632568 7.5 25.633899688720703 25.632200241088867 5.229599952697754 33.94620132446289 22.35219955444336 0.1899999976158142 4.178999900817871 453.5 2.9539999961853027 1.1299999952316284 2.131999969482422
8.100000381469727 8.0 25.62420082092285 25.622400283813477 5.230599880218506 33.96030044555664 22.365800857543945 0.18400000035762787 4.160999774932861 388.79998779296875 2.888000011444092 1.159999966621399 2.1489999294281006
8.600000381469727 8.5 25.623899459838867 25.621999740600586 5.230899810791016 33.962799072265625 22.367799758911133 0.16200000047683716 4.160999774932861 369.79998779296875 2.865999937057495 1.1490000486373901 2.1710000038146973

In total, there are 14 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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