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Dataset Title:  "NEGOM CTD - n2l08s01.nc - 29.62N, 84.79W - 1998-05-00" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l08s01)
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: 13)
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   13 options
    depth ?  =  m   13 options
    temperature ?  =  degree_C   13 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   12 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   13 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   12 options
    par ?  =  umol m-2 s-1   13 options
    parv ?  =  volts   13 options
    fluorescence ?  =  volts   13 options
    backscattering ?  =  volts   13 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 23.577199935913086 23.57670021057129 4.976900100708008 33.614200592041016 22.71649932861328 0.1459999978542328 3.7179999351501465 438.29998779296875 2.7939999103546143 1.2949999570846558 0.09200000017881393
3.0 3.0 23.576499938964844 23.575899124145508 4.976799964904785 33.613800048828125 22.716400146484375 0.33000001311302185 3.7209999561309814 385.70001220703125 2.740000009536743 1.2769999504089355 0.29600000381469727
3.5 3.5 23.578800201416016 23.578100204467773 4.9770002365112305 33.61389923095703 22.71579933166504 0.31200000643730164 3.7219998836517334 326.0 2.6649999618530273 1.2890000343322754 0.5
4.0 4.0 23.57710075378418 23.5762996673584 4.976900100708008 33.61370086669922 22.71619987487793 0.32600000500679016 3.7179999351501465 296.79998779296875 2.625 1.2940000295639038 0.5099999904632568
4.5 4.5 23.531999588012695 23.531099319458008 4.970799922943115 33.601898193359375 22.720500946044922 0.3490000069141388 3.703000068664551 244.1999969482422 2.5409998893737793 1.312000036239624 0.5059999823570251
5.0 5.0 23.411100387573242 23.41010093688965 4.957399845123291 33.59189987182617 22.74799919128418 0.22200000286102295 3.678999900817871 214.1999969482422 2.4839999675750732 1.3259999752044678 0.5049999952316284
5.5 5.5 23.168500900268555 23.167400360107422 4.9309000968933105 33.57389831542969 22.804399490356445 0.43299999833106995 3.6679999828338623 178.0 2.4030001163482666 1.315000057220459 0.5170000195503235
6.0 6.0 22.681100845336914 22.679899215698242 4.926199913024902 33.912498474121094 23.20039939880371 0.2919999957084656 3.6710000038146973 149.10000610351562 2.3259999752044678 1.38100004196167 0.5590000152587891
6.5 6.5 22.372600555419922 22.371299743652344 4.93310022354126 34.206600189208984 23.510900497436523 0.26899999380111694 3.6459999084472656 126.0999984741211 2.253999948501587 1.4769999980926514 0.6880000233650208
7.0 7.0 22.29680061340332 22.295400619506836 4.934199810028076 34.27470016479492 23.583999633789062 0.2630000114440918 3.565999984741211 109.4000015258789 2.191999912261963 1.5069999694824219 0.9150000214576721
7.599999904632568 7.5 22.255199432373047 22.253700256347656 4.935999870300293 34.3218994140625 23.631500244140625 0.24799999594688416 3.4679999351501465 90.47000122070312 2.109999895095825 1.531000018119812 1.1330000162124634
8.100000381469727 8.0 22.24920082092285 22.247600555419922 4.936600208282471 34.330501556396484 23.639799118041992 0.35199999809265137 3.434999942779541 79.16999816894531 2.052000045776367 1.5420000553131104 1.350000023841858
8.600000381469727 8.5 22.221200942993164 22.219499588012695 4.936500072479248 34.35169982910156 23.663799285888672 -0.04399999976158142 3.2929999828338623 64.04000091552734 1.9609999656677246 1.5609999895095825 1.4670000076293945

In total, there are 13 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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