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Dataset Title:  "NEGOM CTD - n2l09s01.nc - 29.51N, 83.6W - 1998-05-00" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l09s01)
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: 15)
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   15 options
    depth ?  =  m   15 options
    temperature ?  =  degree_C   15 options
    potentialTemperature ?  =  degree_C   15 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   12 options
    par ?  =  umol m-2 s-1   15 options
    parv ?  =  volts   15 options
    fluorescence ?  =  volts   14 options
    backscattering ?  =  volts   15 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 24.545400619506836 24.5447998046875 4.440499782562256 28.953800201416016 18.913400650024414 0.18700000643730164 3.5799999237060547 361.79998779296875 2.7100000381469727 2.056999921798706 0.2919999957084656
3.5 3.5 24.47719955444336 24.476499557495117 4.438799858093262 28.98509979248047 18.956899642944336 0.19200000166893005 3.578000068664551 282.3999938964844 2.6019999980926514 2.0329999923706055 0.3269999921321869
4.0 4.0 24.41510009765625 24.4143009185791 4.445099830627441 29.07110023498535 19.039899826049805 0.26899999380111694 3.575000047683716 200.89999389648438 2.453000068664551 2.0409998893737793 0.3630000054836273
4.5 4.5 24.34480094909668 24.343900680541992 4.470799922943115 29.30459976196289 19.236499786376953 0.16200000047683716 3.5789999961853027 150.1999969482422 2.3289999961853027 2.0490000247955322 0.36500000953674316
5.0 5.0 24.291400909423828 24.2903995513916 4.495800018310547 29.5221004486084 19.416200637817383 0.20000000298023224 3.5880000591278076 115.0 2.2130000591278076 2.0460000038146973 0.3790000081062317
5.5 5.5 24.27790069580078 24.27680015563965 4.501500129699707 29.572399139404297 19.458099365234375 0.2590000033378601 3.5999999046325684 90.16000366210938 2.1070001125335693 2.046999931335449 0.38499999046325684
6.0 6.0 24.21649932861328 24.215200424194336 4.502200126647949 29.618099212646484 19.510499954223633 0.18700000643730164 3.6059999465942383 66.02999877929688 1.9730000495910645 2.059999942779541 0.5090000033378601
6.5 6.5 24.18000030517578 24.178600311279297 4.507400035858154 29.680599212646484 19.568199157714844 0.2750000059604645 3.6050000190734863 54.63999938964844 1.8880000114440918 2.0339999198913574 0.609000027179718
7.0 7.0 24.173599243164062 24.172100067138672 4.511600017547607 29.715499877929688 19.596500396728516 0.20900000631809235 3.5999999046325684 40.150001525878906 1.7580000162124634 2.0329999923706055 0.7089999914169312
7.599999904632568 7.5 24.139799118041992 24.138200759887695 4.519599914550781 29.796300888061523 19.667299270629883 0.16699999570846558 3.5810000896453857 30.719999313354492 1.6390000581741333 2.0209999084472656 0.8169999718666077
8.100000381469727 8.0 24.09000015258789 24.088300704956055 4.530799865722656 29.91189956665039 19.768999099731445 0.17000000178813934 3.5799999237060547 25.030000686645508 1.5520000457763672 1.9950000047683716 0.9240000247955322
8.600000381469727 8.5 23.91990089416504 23.918100357055664 4.568999767303467 30.30900001525879 20.118200302124023 0.17299999296665192 3.5799999237060547 19.809999465942383 1.4490000009536743 1.9900000095367432 1.0130000114440918
9.100000381469727 9.0 23.828500747680664 23.82659912109375 4.589200019836426 30.521400451660156 20.305099487304688 0.16699999570846558 3.555000066757202 14.289999961853027 1.309000015258789 1.972000002861023 1.0160000324249268
9.600000381469727 9.5 23.80389976501465 23.80190086364746 4.5894999504089355 30.540000915527344 20.326200485229492 0.15399999916553497 3.562000036239624 11.760000228881836 1.222000002861023 1.9500000476837158 1.1080000400543213
10.100000381469727 10.0 23.787399291992188 23.78529930114746 4.588799953460693 30.546100616455078 20.3356990814209 0.09700000286102295 3.4719998836517334 8.670000076293945 1.097000002861023 1.930999994277954 1.531999945640564

In total, there are 15 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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