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Dataset Title:  "NEGOM CTD - n5l02s01.nc - 29.66N, 88.69W - 1999-05-26" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l02s01)
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: 31)
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   31 options
    depth ?  =  m   31 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   31 options
    conductivity ?  =  Siemens per meter   31 options
    salinity ?  =  PSU   31 options
    sigmat ?  =  kg m-3   31 options
    descentRate ?  =  meters per second   29 options
    transmission ?  =  percent   30 options
    par ?  =  umol m-2 s-1   31 options
    parv ?  =  volts   31 options
    fluorescence ?  =  volts   31 options
    backscattering ?  =  volts   29 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 28.139400482177734 28.1387996673584 4.39109992980957 26.45789909362793 15.941900253295898 0.14300000667572021 3.180999994277954 2544.0 3.003000020980835 1.6790000200271606 -9.899999618530273
3.0 3.0 28.08930015563965 28.088600158691406 4.412600040435791 26.63010025024414 16.086700439453125 0.5329999923706055 3.191999912261963 2074.0 2.885999917984009 1.6740000247955322 -9.899999618530273
3.5 3.5 28.085599899291992 28.084800720214844 4.413400173187256 26.63759994506836 16.093599319458008 0.2980000078678131 3.2149999141693115 1031.0 2.621000051498413 1.7059999704360962 -9.899999618530273
4.0 4.0 28.09819984436035 28.097299575805664 4.407100200653076 26.587900161743164 16.052400588989258 0.5440000295639038 3.2179999351501465 911.5999755859375 2.568000078201294 1.7280000448226929 1.1330000162124634
4.5 4.5 28.104999542236328 28.104000091552734 4.403900146484375 26.56279945373535 16.0314998626709 0.5450000166893005 3.2149999141693115 658.9000244140625 2.427000045776367 1.7350000143051147 1.13100004196167
5.0 5.0 28.059600830078125 28.058399200439453 4.428800106048584 26.755300521850586 16.190099716186523 0.36899998784065247 3.2100000381469727 545.5999755859375 2.3450000286102295 1.7480000257492065 1.1369999647140503
5.5 5.5 27.82309913635254 27.821800231933594 4.538400173187256 27.63170051574707 16.921499252319336 0.46299999952316284 3.2980000972747803 457.20001220703125 2.2690000534057617 1.7680000066757202 1.1419999599456787
6.099999904632568 6.0 27.501100540161133 27.49970054626465 4.650000095367432 28.585500717163086 17.73819923400879 0.48500001430511475 3.6519999504089355 376.70001220703125 2.184000015258789 1.7369999885559082 1.0420000553131104
6.599999904632568 6.5 27.024799346923828 27.023300170898438 4.779399871826172 29.776500701904297 18.781700134277344 0.3490000069141388 3.7920000553131104 273.70001220703125 2.0450000762939453 1.6239999532699585 0.8870000243186951
7.099999904632568 7.0 26.612899780273438 26.611299514770508 4.856900215148926 30.586700439453125 19.519100189208984 0.38199999928474426 3.86899995803833 251.1999969482422 2.009000062942505 1.534000039100647 0.8460000157356262
7.599999904632568 7.5 26.372699737548828 26.371000289916992 4.886099815368652 30.952899932861328 19.86910057067871 0.3479999899864197 3.9730000495910645 198.1999969482422 1.9040000438690186 1.5069999694824219 0.7850000262260437
8.100000381469727 8.0 26.20949935913086 26.207700729370117 4.902100086212158 31.17650032043457 20.087799072265625 0.41200000047683716 4.0329999923706055 176.60000610351562 1.8559999465942383 1.4609999656677246 0.7760000228881836
8.600000381469727 8.5 26.104000091552734 26.102100372314453 4.932499885559082 31.464799880981445 20.337400436401367 0.4519999921321869 4.063000202178955 164.5 1.8250000476837158 1.4429999589920044 0.777999997138977
9.100000381469727 9.0 25.789400100708008 25.787399291992188 4.934999942779541 31.69930076599121 20.610599517822266 0.41600000858306885 4.085000038146973 137.89999389648438 1.7480000257492065 1.434999942779541 0.7509999871253967
9.600000381469727 9.5 25.364700317382812 25.362600326538086 4.9257001876831055 31.92770004272461 20.91200065612793 0.34299999475479126 4.114999771118164 128.0 1.715999960899353 1.4550000429153442 0.7360000014305115
10.100000381469727 10.0 25.57740020751953 25.575199127197266 4.998199939727783 32.304100036621094 21.131200790405273 0.36500000953674316 4.120999813079834 116.0 1.6729999780654907 1.496000051498413 0.7390000224113464
10.600000381469727 10.5 24.90690040588379 24.904600143432617 4.934299945831299 32.31480026245117 21.341999053955078 0.44999998807907104 4.070000171661377 99.4000015258789 1.6059999465942383 1.5390000343322754 0.7409999966621399
11.100000381469727 11.0 24.506900787353516 24.504600524902344 4.905700206756592 32.39099884033203 21.51889991760254 0.48899999260902405 4.086999893188477 93.66000366210938 1.5809999704360962 1.5770000219345093 0.7789999842643738
11.600000381469727 11.5 23.722900390625 23.720500946044922 4.96999979019165 33.44929885864258 22.549699783325195 0.48899999260902405 4.111999988555908 82.5999984741211 1.524999976158142 1.5750000476837158 0.7440000176429749
12.100000381469727 12.0 22.575000762939453 22.572599411010742 5.018899917602539 34.712501525878906 23.837900161743164 0.45500001311302185 3.8970000743865967 68.70999908447266 1.4459999799728394 1.5740000009536743 0.734000027179718
12.600000381469727 12.5 22.218399047851562 22.215900421142578 5.027599811553955 35.06570053100586 24.207000732421875 0.3160000145435333 4.011000156402588 61.31999969482422 1.3960000276565552 1.5720000267028809 0.7680000066757202
13.100000381469727 13.0 22.0585994720459 22.055999755859375 5.031199932098389 35.2234001159668 24.37179946899414 0.38199999928474426 4.107999801635742 52.83000183105469 1.3320000171661377 1.555999994277954 0.7590000033378601
13.600000381469727 13.5 21.919300079345703 21.91659927368164 5.033699989318848 35.35639953613281 24.511999130249023 0.5239999890327454 3.8929998874664307 46.720001220703125 1.2790000438690186 1.5089999437332153 0.8159999847412109
14.100000381469727 14.0 21.749099731445312 21.746299743652344 5.035200119018555 35.508201599121094 24.674999237060547 0.5070000290870667 3.7130000591278076 43.029998779296875 1.2419999837875366 1.4589999914169312 0.9269999861717224
14.600000381469727 14.5 21.52869987487793 21.52589988708496 5.036900043487549 35.70399856567383 24.885299682617188 0.42500001192092896 3.7850000858306885 37.54999923706055 1.1829999685287476 1.3849999904632568 0.9350000023841858
15.100000381469727 15.0 21.447599411010742 21.444700241088867 5.038599967956543 35.7849006652832 24.96940040588379 0.32100000977516174 3.805000066757202 33.9900016784668 1.1399999856948853 1.3270000219345093 0.9430000185966492
15.600000381469727 15.5 21.345800399780273 21.34280014038086 5.037600040435791 35.861698150634766 25.05590057373047 0.35499998927116394 3.2209999561309814 30.40999984741211 1.0920000076293945 1.3450000286102295 1.2170000076293945
16.100000381469727 16.0 21.200599670410156 21.197500228881836 5.035399913787842 35.965599060058594 25.175100326538086 0.35600000619888306 3.194999933242798 27.520000457763672 1.0490000247955322 1.3830000162124634 1.3849999904632568
16.600000381469727 16.5 21.147600173950195 21.144399642944336 5.035699844360352 36.01279830932617 25.22559928894043 0.3109999895095825 3.174999952316284 26.049999237060547 1.024999976158142 1.3980000019073486 1.5520000457763672
17.100000381469727 17.0 21.140499114990234 21.13719940185547 5.036499977111816 36.02510070800781 25.236900329589844 0.25600001215934753 2.63700008392334 22.81999969482422 0.9670000076293945 1.4359999895095825 1.7949999570846558
17.600000381469727 17.5 21.137699127197266 21.134300231933594 5.0370001792907715 36.03070068359375 25.242000579833984 0.14900000393390656 2.4609999656677246 19.329999923706055 0.8960000276565552 1.465999960899353 2.187999963760376

In total, there are 31 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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