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Dataset Title:  "NEGOM CTD - n1l11s02.nc - 27.5N, 83.03W - 1997-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l11s02)
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: 39)
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   39 options
    depth ?  =  m   39 options
    temperature ?  =  degree_C   35 options
    potentialTemperature ?  =  degree_C   34 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   29 options
    descentRate ?  =  meters per second   38 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   34 options
    backscattering ?  =  volts   32 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
3.0 3.0 22.19659996032715 22.195999145507812 5.15310001373291 36.072898864746094 24.9778995513916 0.19499999284744263 4.078999996185303 -9.0 -9.0 1.590000033378601 0.2840000092983246
3.5 3.5 22.20560073852539 22.20490074157715 5.154099941253662 36.072898864746094 24.975500106811523 0.24799999594688416 4.084000110626221 -9.0 -9.0 1.5800000429153442 0.289000004529953
4.0 4.0 22.210899353027344 22.210100173950195 5.154699802398682 36.07339859008789 24.974300384521484 0.2849999964237213 4.079999923706055 -9.0 -9.0 1.6119999885559082 0.27799999713897705
4.5 4.5 22.2185001373291 22.217599868774414 5.1554999351501465 36.07320022583008 24.97209930419922 0.22300000488758087 4.084000110626221 -9.0 -9.0 1.5820000171661377 0.27900001406669617
5.0 5.0 22.218700408935547 22.21769905090332 5.155600070953369 36.07320022583008 24.97209930419922 0.24199999868869781 4.084000110626221 -9.0 -9.0 1.5809999704360962 0.30300000309944153
5.5 5.5 22.21489906311035 22.21380043029785 5.155200004577637 36.07320022583008 24.97319984436035 0.4180000126361847 4.086999893188477 -9.0 -9.0 1.5950000286102295 0.3070000112056732
6.0 6.0 22.206499099731445 22.205299377441406 5.154300212860107 36.07279968261719 24.975299835205078 0.35899999737739563 4.086999893188477 -9.0 -9.0 1.5880000591278076 0.2930000126361847
6.5 6.5 22.208900451660156 22.207599639892578 5.154600143432617 36.07310104370117 24.97480010986328 0.375 4.081999778747559 -9.0 -9.0 1.5809999704360962 0.27799999713897705
7.0 7.0 22.206600189208984 22.2052001953125 5.154300212860107 36.072898864746094 24.975400924682617 0.3700000047683716 4.089000225067139 -9.0 -9.0 1.593000054359436 0.26600000262260437
7.599999904632568 7.5 22.202999114990234 22.201499938964844 5.1539998054504395 36.07310104370117 24.976499557495117 0.2770000100135803 4.0879998207092285 -9.0 -9.0 1.5700000524520874 0.257999986410141
8.100000381469727 8.0 22.203500747680664 22.201900482177734 5.154099941253662 36.07310104370117 24.97640037536621 0.3580000102519989 4.085000038146973 -9.0 -9.0 1.5750000476837158 0.27399998903274536
8.600000381469727 8.5 22.200899124145508 22.199199676513672 5.153800010681152 36.073001861572266 24.977100372314453 0.2879999876022339 4.084000110626221 -9.0 -9.0 1.5959999561309814 0.27000001072883606
9.100000381469727 9.0 22.20199966430664 22.200199127197266 5.1539998054504395 36.07320022583008 24.976999282836914 0.38600000739097595 4.083000183105469 -9.0 -9.0 1.5980000495910645 0.28600001335144043
9.600000381469727 9.5 22.20210075378418 22.200199127197266 5.1539998054504395 36.07310104370117 24.976900100708008 0.24400000274181366 4.083000183105469 -9.0 -9.0 1.6080000400543213 0.27799999713897705
10.100000381469727 10.0 22.20709991455078 22.20509910583496 5.1545000076293945 36.07279968261719 24.975299835205078 0.33000001311302185 4.089000225067139 -9.0 -9.0 1.656000018119812 0.26899999380111694
10.600000381469727 10.5 22.2007999420166 22.198699951171875 5.153900146484375 36.07310104370117 24.977399826049805 0.2280000001192093 4.091000080108643 -9.0 -9.0 1.63100004196167 0.25
11.100000381469727 11.0 22.200300216674805 22.19809913635254 5.153900146484375 36.073299407958984 24.97760009765625 0.26100000739097595 4.091000080108643 -9.0 -9.0 1.6100000143051147 0.24799999594688416
11.600000381469727 11.5 22.201799392700195 22.199499130249023 5.154099941253662 36.07320022583008 24.97719955444336 0.23100000619888306 4.086999893188477 -9.0 -9.0 1.6119999885559082 0.24699999392032623
12.100000381469727 12.0 22.20050048828125 22.19809913635254 5.153900146484375 36.07310104370117 24.977500915527344 0.257999986410141 4.091000080108643 -9.0 -9.0 1.659999966621399 0.26100000739097595
12.600000381469727 12.5 22.19529914855957 22.192800521850586 5.153500080108643 36.07350158691406 24.979299545288086 0.20600000023841858 4.091000080108643 -9.0 -9.0 1.6349999904632568 0.2540000081062317
13.100000381469727 13.0 22.195499420166016 22.192899703979492 5.153500080108643 36.07350158691406 24.979299545288086 0.36500000953674316 4.089000225067139 -9.0 -9.0 1.5640000104904175 0.24699999392032623
13.600000381469727 13.5 22.195199966430664 22.1924991607666 5.153500080108643 36.07350158691406 24.979400634765625 0.27399998903274536 4.089000225067139 -9.0 -9.0 1.625 0.2639999985694885
14.100000381469727 14.0 22.194799423217773 22.191999435424805 5.153500080108643 36.07360076904297 24.97960090637207 0.31299999356269836 4.090000152587891 -9.0 -9.0 1.628999948501587 0.3100000023841858
14.600000381469727 14.5 22.19529914855957 22.192399978637695 5.153600215911865 36.073699951171875 24.97960090637207 0.24300000071525574 4.086999893188477 -9.0 -9.0 1.5759999752044678 0.3089999854564667
15.100000381469727 15.0 22.194700241088867 22.191699981689453 5.153500080108643 36.07379913330078 24.979799270629883 0.2240000069141388 4.091000080108643 -9.0 -9.0 1.6690000295639038 0.3089999854564667
15.600000381469727 15.5 22.200599670410156 22.197500228881836 5.154200077056885 36.07389831542969 24.978300094604492 0.2409999966621399 4.093999862670898 -9.0 -9.0 1.7089999914169312 0.30399999022483826
16.100000381469727 16.0 22.206899642944336 22.203699111938477 5.154799938201904 36.07320022583008 24.97599983215332 0.33899998664855957 4.090000152587891 -9.0 -9.0 1.6399999856948853 0.2849999964237213
16.600000381469727 16.5 22.20039939880371 22.197099685668945 5.154200077056885 36.07339859008789 24.97800064086914 0.22699999809265137 4.0920000076293945 -9.0 -9.0 1.6130000352859497 0.2669999897480011
17.100000381469727 17.0 22.199600219726562 22.196199417114258 5.154099941253662 36.073699951171875 24.978500366210938 0.2930000126361847 4.086999893188477 -9.0 -9.0 1.6349999904632568 0.27300000190734863
17.600000381469727 17.5 22.20009994506836 22.19659996032715 5.154200077056885 36.07379913330078 24.978500366210938 0.21400000154972076 4.089000225067139 -9.0 -9.0 1.5720000267028809 0.2800000011920929
18.100000381469727 18.0 22.19860076904297 22.19499969482422 5.154099941253662 36.07379913330078 24.978900909423828 0.28700000047683716 4.085999965667725 -9.0 -9.0 1.6009999513626099 0.27399998903274536
18.600000381469727 18.5 22.19890022277832 22.195199966430664 5.154099941253662 36.07389831542969 24.978900909423828 0.1889999955892563 4.091000080108643 -9.0 -9.0 1.5800000429153442 0.2680000066757202
19.100000381469727 19.0 22.19890022277832 22.195100784301758 5.154200077056885 36.07379913330078 24.978900909423828 0.2150000035762787 4.0929999351501465 -9.0 -9.0 1.6239999532699585 0.2759999930858612
19.600000381469727 19.5 22.198699951171875 22.194799423217773 5.154200077056885 36.073699951171875 24.978900909423828 0.15000000596046448 4.089000225067139 -9.0 -9.0 1.6690000295639038 0.2809999883174896
20.100000381469727 20.0 22.19890022277832 22.194900512695312 5.154200077056885 36.07379913330078 24.979000091552734 0.21400000154972076 4.085999965667725 -9.0 -9.0 1.590999960899353 0.28700000047683716
20.600000381469727 20.5 22.19890022277832 22.194799423217773 5.154200077056885 36.07389831542969 24.97909927368164 0.2939999997615814 4.086999893188477 -9.0 -9.0 1.6069999933242798 0.2709999978542328
21.100000381469727 21.0 22.199100494384766 22.194900512695312 5.154300212860107 36.07400131225586 24.97909927368164 0.17599999904632568 4.084000110626221 -9.0 -9.0 1.6449999809265137 0.26899999380111694
21.600000381469727 21.5 22.203699111938477 22.199399948120117 5.154799938201904 36.07389831542969 24.977800369262695 0.1550000011920929 4.084000110626221 -9.0 -9.0 1.6360000371932983 0.25600001215934753
22.100000381469727 22.0 22.203800201416016 22.199399948120117 5.154799938201904 36.073699951171875 24.97760009765625 0.10999999940395355 4.078000068664551 -9.0 -9.0 1.593999981880188 0.2840000092983246

In total, there are 39 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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