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Dataset Title:  "NEGOM CTD - n6l02s00.nc - 29.8N, 88.75W - 1999-00-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l02s00)
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: 20)
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   20 options
    depth ?  =  m   20 options
    temperature ?  =  degree_C   20 options
    potentialTemperature ?  =  degree_C   20 options
    conductivity ?  =  Siemens per meter   20 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   20 options
    descentRate ?  =  meters per second   18 options
    transmission ?  =  percent   19 options
    par ?  =  umol m-2 s-1   20 options
    parv ?  =  volts   20 options
    fluorescence ?  =  volts   19 options
    backscattering ?  =  volts   18 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
2.5 2.5 30.292600631713867 30.29199981689453 5.379899978637695 31.747600555419922 19.191200256347656 0.24699999392032623 3.7330000400543213 78.6500015258789 2.194000005722046 1.878000020980835 0.7139999866485596
3.0 3.0 30.295700073242188 30.295000076293945 5.380000114440918 31.7460994720459 19.18899917602539 0.39800000190734863 3.6419999599456787 65.76000213623047 2.117000102996826 1.8949999809265137 0.8040000200271606
3.5 3.5 30.29439926147461 30.293500900268555 5.380300045013428 31.74850082397461 19.191299438476562 0.40700000524520874 3.6040000915527344 55.970001220703125 2.046999931335449 1.9170000553131104 0.8230000138282776
4.0 4.0 30.277000427246094 30.275999069213867 5.381400108337402 31.76729965209961 19.211299896240234 0.36500000953674316 3.696000099182129 47.220001220703125 1.9730000495910645 1.9140000343322754 0.8220000267028809
4.5 4.5 30.221500396728516 30.220399856567383 5.3796000480651855 31.791400909423828 19.248199462890625 0.34299999475479126 3.7899999618530273 39.970001220703125 1.9010000228881836 1.8650000095367432 0.828000009059906
5.0 5.0 30.148799896240234 30.147600173950195 5.3734002113342285 31.797700881958008 19.277700424194336 0.4059999883174896 4.026000022888184 32.88999938964844 1.815999984741211 1.7929999828338623 0.8130000233650208
5.5 5.5 30.122800827026367 30.121400833129883 5.372600078582764 31.809099197387695 19.295000076293945 0.4169999957084656 4.110000133514404 27.15999984741211 1.7330000400543213 1.6390000581741333 0.8109999895095825
6.0 6.0 30.114900588989258 30.113399505615234 5.372300148010254 31.811800003051758 19.299800872802734 0.36800000071525574 4.13700008392334 22.59000015258789 1.652999997138977 1.4759999513626099 0.8100000023841858
6.5 6.5 30.105600357055664 30.104000091552734 5.372099876403809 31.81679916381836 19.306699752807617 0.3330000042915344 4.122000217437744 19.09000015258789 1.5789999961853027 1.375 0.8100000023841858
7.0 7.0 30.06570053100586 30.06399917602539 5.374800205230713 31.86050033569336 19.35300064086914 0.3610000014305115 4.14300012588501 16.06999969482422 1.5049999952316284 1.3589999675750732 0.8140000104904175
7.599999904632568 7.5 30.017200469970703 30.015300750732422 5.38100004196167 31.933500289916992 19.424100875854492 0.367000013589859 4.166999816894531 13.890000343322754 1.4420000314712524 1.340000033378601 0.8059999942779541
8.100000381469727 8.0 29.919099807739258 29.91710090637207 5.392600059509277 32.07590103149414 19.563800811767578 0.3019999861717224 4.1570000648498535 12.029999732971191 1.378999948501587 1.319000005722046 0.8019999861717224
8.600000381469727 8.5 29.532100677490234 29.530000686645508 5.433000087738037 32.6057014465332 20.090900421142578 0.22200000286102295 4.1570000648498535 10.520000457763672 1.3209999799728394 1.3179999589920044 0.765999972820282
9.100000381469727 9.0 29.03339958190918 29.031200408935547 5.47599983215332 33.23929977416992 20.7322998046875 0.1679999977350235 4.171000003814697 9.40999984741211 1.2730000019073486 1.3370000123977661 0.734000027179718
9.600000381469727 9.5 28.452800750732422 28.45050048828125 5.514900207519531 33.91529846191406 21.431699752807617 0.17499999701976776 4.177999973297119 8.1899995803833 1.2120000123977661 1.2920000553131104 0.7279999852180481
10.100000381469727 10.0 27.940099716186523 27.937700271606445 5.524799823760986 34.354400634765625 21.929500579833984 0.23199999332427979 4.172999858856201 7.269999980926514 1.1610000133514404 1.309999942779541 0.7239999771118164
10.600000381469727 10.5 27.554000854492188 27.55150032043457 5.529099941253662 34.66849899291992 22.291000366210938 0.19499999284744263 4.163000106811523 6.389999866485596 1.1050000190734863 1.2929999828338623 0.7139999866485596
11.100000381469727 11.0 26.962099075317383 26.9596004486084 5.515200138092041 35.01179885864258 22.739500045776367 0.1679999977350235 4.197000026702881 5.800000190734863 1.062000036239624 1.36899995803833 0.7260000109672546
11.600000381469727 11.5 26.208900451660156 26.206300735473633 5.4903998374938965 35.40760040283203 23.27630043029785 0.1599999964237213 4.060999870300293 5.230000019073486 1.0180000066757202 1.4470000267028809 0.7639999985694885
12.100000381469727 12.0 26.06290054321289 26.060199737548828 5.483099937438965 35.467098236083984 23.367000579833984 0.1599999964237213 3.9010000228881836 4.869999885559082 0.9869999885559082 1.375 0.7919999957084656

In total, there are 20 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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