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Dataset Title:  "NEGOM CTD - n7l02s00.nc - 29.8N, 88.75W - 1999-11-14" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l02s00)
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: 22)
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   22 options
    depth ?  =  m   22 options
    temperature ?  =  degree_C   21 options
    potentialTemperature ?  =  degree_C   18 options
    conductivity ?  =  Siemens per meter   11 options
    salinity ?  =  PSU   14 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   22 options
    transmission ?  =  percent   20 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   21 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
2.0 2.0 21.45009994506836 21.44969940185547 4.910399913787842 34.76570129394531 24.1924991607666 -0.12999999523162842 2.1659998893737793 -9.0 -9.0 1.3270000219345093 2.052999973297119
2.5 2.5 21.449399948120117 21.44890022277832 4.910399913787842 34.7661018371582 24.193099975585938 0.14800000190734863 2.1600000858306885 -9.0 -9.0 1.3300000429153442 2.309000015258789
3.0 3.0 21.449899673461914 21.44930076599121 4.9105000495910645 34.7661018371582 24.19300079345703 0.2240000069141388 2.135999917984009 -9.0 -9.0 1.3339999914169312 2.4210000038146973
3.5 3.5 21.450199127197266 21.449499130249023 4.9105000495910645 34.76620101928711 24.19300079345703 0.31200000643730164 2.131999969482422 -9.0 -9.0 1.3329999446868896 2.4079999923706055
4.0 4.0 21.450300216674805 21.449499130249023 4.910600185394287 34.766300201416016 24.19300079345703 0.21199999749660492 2.1410000324249268 -9.0 -9.0 1.3250000476837158 2.428999900817871
4.5 4.5 21.451799392700195 21.450899124145508 4.9105000495910645 34.764400482177734 24.191200256347656 0.24199999868869781 2.135999917984009 -9.0 -9.0 1.319000005722046 2.3980000019073486
5.0 5.0 21.453500747680664 21.452499389648438 4.9105000495910645 34.763099670410156 24.189800262451172 0.18400000035762787 2.1110000610351562 -9.0 -9.0 1.3320000171661377 2.319000005722046
5.5 5.5 21.454099655151367 21.452999114990234 4.910699844360352 34.763301849365234 24.189800262451172 0.164000004529953 1.934000015258789 -9.0 -9.0 1.3420000076293945 2.555000066757202
6.0 6.0 21.454700469970703 21.453500747680664 4.910699844360352 34.76340103149414 24.189699172973633 0.1889999955892563 1.9390000104904175 -9.0 -9.0 1.3350000381469727 2.7179999351501465
6.5 6.5 21.45680046081543 21.45549964904785 4.910999774932861 34.763301849365234 24.18910026550293 0.25 1.8930000066757202 -9.0 -9.0 1.3519999980926514 2.7799999713897705
7.0 7.0 21.4591007232666 21.457700729370117 4.911200046539307 34.763099670410156 24.188400268554688 0.20499999821186066 1.8730000257492065 -9.0 -9.0 1.347000002861023 2.796999931335449
7.599999904632568 7.5 21.458200454711914 21.45669937133789 4.911099910736084 34.76279830932617 24.188400268554688 0.24799999594688416 1.843000054359436 -9.0 -9.0 1.3450000286102295 2.8259999752044678
8.100000381469727 8.0 21.455299377441406 21.453699111938477 4.910799980163574 34.76300048828125 24.18939971923828 0.32600000500679016 1.8730000257492065 -9.0 -9.0 1.3539999723434448 2.8540000915527344
8.600000381469727 8.5 21.454500198364258 21.452800750732422 4.910799980163574 34.76319885253906 24.189800262451172 0.23000000417232513 1.8609999418258667 -9.0 -9.0 1.343999981880188 2.674999952316284
9.100000381469727 9.0 21.454999923706055 21.45319938659668 4.910900115966797 34.763099670410156 24.189599990844727 0.4009999930858612 1.878999948501587 -9.0 -9.0 1.340000033378601 2.6700000762939453
9.600000381469727 9.5 21.45549964904785 21.45359992980957 4.910999774932861 34.76319885253906 24.18950080871582 0.2280000001192093 1.8849999904632568 -9.0 -9.0 1.3519999980926514 2.74399995803833
10.100000381469727 10.0 21.456300735473633 21.45439910888672 4.911099910736084 34.763099670410156 24.189300537109375 0.3089999854564667 1.8589999675750732 -9.0 -9.0 1.3650000095367432 2.796999931335449
10.600000381469727 10.5 21.457500457763672 21.45549964904785 4.911200046539307 34.76300048828125 24.188899993896484 0.2939999997615814 1.6469999551773071 -9.0 -9.0 1.3580000400543213 3.2699999809265137
11.100000381469727 11.0 21.458599090576172 21.456499099731445 4.911300182342529 34.762699127197266 24.188400268554688 0.14100000262260437 1.5299999713897705 -9.0 -9.0 1.3550000190734863 3.743000030517578
11.600000381469727 11.5 21.4591007232666 21.456899642944336 4.911300182342529 34.76259994506836 24.188199996948242 0.20100000500679016 1.5540000200271606 -9.0 -9.0 1.3530000448226929 4.047999858856201
12.100000381469727 12.0 21.459999084472656 21.457700729370117 4.911399841308594 34.762298583984375 24.18779945373535 0.4059999883174896 0.9559999704360962 -9.0 -9.0 1.3569999933242798 4.327000141143799
12.600000381469727 12.5 21.459299087524414 21.456899642944336 4.911399841308594 34.76259994506836 24.188199996948242 0.03099999949336052 1.1619999408721924 -9.0 -9.0 1.3700000047683716 4.605999946594238

In total, there are 22 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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