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Dataset Title:  "NEGOM CTD - n7l09s01.nc - 29.49N, 83.63W - 1999-11-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l09s01)
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   13 options
    potentialTemperature ?  =  degree_C   12 options
    conductivity ?  =  Siemens per meter   10 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   10 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   10 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   14 options
    backscattering ?  =  volts   14 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 19.75749969482422 19.756999969482422 4.879899978637695 35.929901123046875 25.535499572753906 0.21400000154972076 4.169000148773193 -9.0 -9.0 1.2029999494552612 0.14499999582767487
3.0 3.0 19.75749969482422 19.756900787353516 4.879899978637695 35.9296989440918 25.53529930114746 0.23000000417232513 4.176000118255615 -9.0 -9.0 1.2020000219345093 0.14100000262260437
3.5 3.5 19.754899978637695 19.75429916381836 4.8796000480651855 35.92879867553711 25.535400390625 0.1679999977350235 4.177000045776367 -9.0 -9.0 1.180999994277954 0.14900000393390656
4.0 4.0 19.7549991607666 19.75429916381836 4.8796000480651855 35.9286003112793 25.535200119018555 0.23499999940395355 4.177999973297119 -9.0 -9.0 1.1799999475479126 0.1599999964237213
4.5 4.5 19.74970054626465 19.748899459838867 4.878799915313721 35.92649841308594 25.534900665283203 0.19200000166893005 4.181000232696533 -9.0 -9.0 1.2089999914169312 0.15000000596046448
5.0 5.0 19.748600006103516 19.747699737548828 4.878699779510498 35.926300048828125 25.53510093688965 0.19499999284744263 4.181000232696533 -9.0 -9.0 1.1660000085830688 0.14000000059604645
5.5 5.5 19.74690055847168 19.745899200439453 4.878499984741211 35.92580032348633 25.53529930114746 0.2630000114440918 4.177000045776367 -9.0 -9.0 1.1770000457763672 0.14800000190734863
6.0 6.0 19.747400283813477 19.746299743652344 4.878600120544434 35.925899505615234 25.535200119018555 0.1679999977350235 4.179999828338623 -9.0 -9.0 1.184999942779541 0.15700000524520874
6.5 6.5 19.752099990844727 19.750900268554688 4.879300117492676 35.92789840698242 25.535499572753906 0.24199999868869781 4.177000045776367 -9.0 -9.0 1.2480000257492065 0.16200000047683716
7.0 7.0 19.75189971923828 19.750600814819336 4.879300117492676 35.92729949951172 25.535200119018555 0.24500000476837158 4.182000160217285 -9.0 -9.0 1.2200000286102295 0.1679999977350235
7.599999904632568 7.5 19.749099731445312 19.747699737548828 4.878799915313721 35.92580032348633 25.534799575805664 0.16899999976158142 4.177000045776367 -9.0 -9.0 1.1820000410079956 0.17000000178813934
8.100000381469727 8.0 19.756399154663086 19.754899978637695 4.880000114440918 35.929298400878906 25.535600662231445 0.1509999930858612 4.173999786376953 -9.0 -9.0 1.1959999799728394 0.17499999701976776
8.600000381469727 8.5 19.76420021057129 19.76259994506836 4.88129997253418 35.93349838256836 25.536699295043945 0.14000000059604645 4.172999858856201 -9.0 -9.0 1.2309999465942383 0.1720000058412552
9.100000381469727 9.0 19.778499603271484 19.77680015563965 4.883699893951416 35.940799713134766 25.53860092163086 0.12200000137090683 4.151000022888184 -9.0 -9.0 1.149999976158142 0.1550000011920929

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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