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Dataset Title:  "NEGOM CTD - n2l10s01.nc - 28.61N, 83.06W - 1998-05-07" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l10s01)
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   14 options
    potentialTemperature ?  =  degree_C   14 options
    conductivity ?  =  Siemens per meter   12 options
    salinity ?  =  PSU   14 options
    sigmat ?  =  kg m-3   14 options
    descentRate ?  =  meters per second   12 options
    transmission ?  =  percent   12 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
2.0 2.0 24.33769989013672 24.337299346923828 4.747499942779541 31.343799591064453 20.77739906311035 0.13099999725818634 4.267000198364258 -9.0 -9.0 1.3559999465942383 0.1459999978542328
2.5 2.5 24.40519905090332 24.404699325561523 4.7540998458862305 31.345699310302734 20.759000778198242 0.20000000298023224 4.265999794006348 -9.0 -9.0 1.3550000190734863 0.13699999451637268
3.0 3.0 24.45170021057129 24.451099395751953 4.758500099182129 31.344999313354492 20.744800567626953 0.17100000381469727 4.26800012588501 -9.0 -9.0 1.3600000143051147 0.1289999932050705
3.5 3.5 24.546300888061523 24.54560089111328 4.767399787902832 31.34429931640625 20.716400146484375 0.20800000429153442 4.269999980926514 -9.0 -9.0 1.3569999933242798 0.125
4.0 4.0 24.55500030517578 24.55419921875 4.767399787902832 31.338199615478516 20.709199905395508 0.1899999976158142 4.271999835968018 -9.0 -9.0 1.343000054359436 0.12999999523162842
4.5 4.5 24.49679946899414 24.495800018310547 4.760499954223633 31.32830047607422 20.7189998626709 0.16699999570846558 4.276000022888184 -9.0 -9.0 1.3240000009536743 0.13600000739097595
5.0 5.0 24.261899948120117 24.260900497436523 4.734000205993652 31.29640007019043 20.76409912109375 0.17499999701976776 4.271999835968018 -9.0 -9.0 1.3259999752044678 0.1340000033378601
5.5 5.5 24.002899169921875 24.001800537109375 4.704599857330322 31.258899688720703 20.811399459838867 0.15800000727176666 4.264999866485596 -9.0 -9.0 1.3609999418258667 0.13500000536441803
6.0 6.0 23.495100021362305 23.493900299072266 4.667699813842773 31.340599060058594 21.020099639892578 0.13899999856948853 4.267000198364258 -9.0 -9.0 1.3489999771118164 0.14000000059604645
6.5 6.5 23.099599838256836 23.09830093383789 4.6697998046875 31.63800048828125 21.35810089111328 0.1340000033378601 4.25 -9.0 -9.0 1.3860000371932983 0.15600000321865082
7.0 7.0 23.02549934387207 23.024099349975586 4.671999931335449 31.708099365234375 21.432300567626953 0.15299999713897705 4.230999946594238 -9.0 -9.0 1.4220000505447388 0.1979999989271164
7.599999904632568 7.5 22.981399536132812 22.979900360107422 4.6732001304626465 31.74839973449707 21.475299835205078 0.15399999916553497 4.203999996185303 -9.0 -9.0 1.4320000410079956 0.2199999988079071
8.100000381469727 8.0 22.9685001373291 22.966899871826172 4.673500061035156 31.759700775146484 21.487600326538086 0.15399999916553497 4.201000213623047 -9.0 -9.0 1.4210000038146973 0.24300000071525574
8.600000381469727 8.5 22.968700408935547 22.966999053955078 4.673500061035156 31.7593994140625 21.487300872802734 0.13099999725818634 4.188000202178955 -9.0 -9.0 1.4240000247955322 0.25699999928474426

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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