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Dataset Title:  "NEGOM CTD - n1l05s03.nc - 30.2N, 86.66W - 1997-11-24" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l05s03)
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: 49)
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   49 options
    depth ?  =  m   49 options
    temperature ?  =  degree_C   47 options
    potentialTemperature ?  =  degree_C   44 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   38 options
    sigmat ?  =  kg m-3   34 options
    descentRate ?  =  meters per second   47 options
    transmission ?  =  percent   23 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   39 options
    backscattering ?  =  volts   20 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
3.5 3.5 19.353300094604492 19.352699279785156 4.688399791717529 34.68429946899414 24.68950080871582 0.07199999690055847 4.304999828338623 -9.0 -9.0 1.3209999799728394 0.11900000274181366
4.0 4.0 19.36440086364746 19.36370086669922 4.688799858093262 34.67879867553711 24.6825008392334 0.2759999930858612 4.308000087738037 -9.0 -9.0 1.343999981880188 0.1080000028014183
4.5 4.5 19.375699996948242 19.374900817871094 4.689199924468994 34.672698974609375 24.674999237060547 0.23499999940395355 4.308000087738037 -9.0 -9.0 1.3819999694824219 0.1120000034570694
5.0 5.0 19.3656005859375 19.364700317382812 4.690100193023682 34.688201904296875 24.68939971923828 0.3050000071525574 4.284999847412109 -9.0 -9.0 1.3179999589920044 0.11500000208616257
5.5 5.5 19.36709976196289 19.366100311279297 4.690000057220459 34.6859016418457 24.687299728393555 0.3970000147819519 4.301000118255615 -9.0 -9.0 1.305999994277954 0.11299999803304672
6.0 6.0 19.372100830078125 19.371000289916992 4.690000057220459 34.68109893798828 24.68239974975586 0.33399999141693115 4.304999828338623 -9.0 -9.0 1.3450000286102295 0.11100000143051147
6.5 6.5 19.368999481201172 19.367799758911133 4.690100193023682 34.68479919433594 24.68600082397461 0.34700000286102295 4.307000160217285 -9.0 -9.0 1.3589999675750732 0.11299999803304672
7.0 7.0 19.371999740600586 19.37070083618164 4.690199851989746 34.68299865722656 24.683900833129883 0.3700000047683716 4.297999858856201 -9.0 -9.0 1.315000057220459 0.11800000071525574
7.599999904632568 7.5 19.374500274658203 19.37310028076172 4.690199851989746 34.680301666259766 24.68120002746582 0.36899998784065247 4.302000045776367 -9.0 -9.0 1.315000057220459 0.12300000339746475
8.100000381469727 8.0 19.378999710083008 19.377599716186523 4.690299987792969 34.677799224853516 24.678199768066406 0.3449999988079071 4.293000221252441 -9.0 -9.0 1.3279999494552612 0.1120000034570694
8.600000381469727 8.5 19.377700805664062 19.37619972229004 4.690800189971924 34.682498931884766 24.682100296020508 0.33799999952316284 4.302000045776367 -9.0 -9.0 1.3450000286102295 0.11500000208616257
9.100000381469727 9.0 19.375900268554688 19.374300003051758 4.690899848937988 34.684200286865234 24.683900833129883 0.3659999966621399 4.309999942779541 -9.0 -9.0 1.3220000267028809 0.1120000034570694
9.600000381469727 9.5 19.373699188232422 19.371999740600586 4.690800189971924 34.685699462890625 24.68560028076172 0.3799999952316284 4.311999797821045 -9.0 -9.0 1.3289999961853027 0.10999999940395355
10.100000381469727 10.0 19.370500564575195 19.36870002746582 4.6905999183654785 34.68600082397461 24.68670082092285 0.3569999933242798 4.303999900817871 -9.0 -9.0 1.4270000457763672 0.11500000208616257
10.600000381469727 10.5 19.370800018310547 19.368900299072266 4.690499782562256 34.68519973754883 24.68600082397461 0.32600000500679016 4.304999828338623 -9.0 -9.0 1.3669999837875366 0.11100000143051147
11.100000381469727 11.0 19.36989974975586 19.367900848388672 4.690499782562256 34.68579864501953 24.686800003051758 0.36000001430511475 4.302999973297119 -9.0 -9.0 1.3799999952316284 0.11400000005960464
11.600000381469727 11.5 19.374099731445312 19.371999740600586 4.690800189971924 34.68410110473633 24.68440055847168 0.41499999165534973 4.308000087738037 -9.0 -9.0 1.38100004196167 0.11299999803304672
12.100000381469727 12.0 19.37820053100586 19.375999450683594 4.691400051116943 34.6859016418457 24.68470001220703 0.39899998903274536 4.302999973297119 -9.0 -9.0 1.399999976158142 0.10999999940395355
12.600000381469727 12.5 19.391199111938477 19.388900756835938 4.692999839782715 34.6880989074707 24.6830997467041 0.3100000023841858 4.300000190734863 -9.0 -9.0 1.378000020980835 0.10899999737739563
13.100000381469727 13.0 19.3843994140625 19.381999969482422 4.692699909210205 34.691001892089844 24.687000274658203 0.32100000977516174 4.302000045776367 -9.0 -9.0 1.3359999656677246 0.10700000077486038
13.600000381469727 13.5 19.390499114990234 19.388099670410156 4.69320011138916 34.69020080566406 24.684900283813477 0.40400001406669617 4.304999828338623 -9.0 -9.0 1.315000057220459 0.11299999803304672
14.100000381469727 14.0 19.388399124145508 19.385900497436523 4.69290018081665 34.688899993896484 24.68440055847168 0.4399999976158142 4.303999900817871 -9.0 -9.0 1.3459999561309814 0.12300000339746475
14.600000381469727 14.5 19.388099670410156 19.385499954223633 4.69290018081665 34.6890983581543 24.68470001220703 0.40400001406669617 4.300000190734863 -9.0 -9.0 1.3519999980926514 0.125
15.100000381469727 15.0 19.387699127197266 19.385000228881836 4.69290018081665 34.6890983581543 24.684900283813477 0.2759999930858612 4.298999786376953 -9.0 -9.0 1.3680000305175781 0.12700000405311584
15.600000381469727 15.5 19.38920021057129 19.38640022277832 4.69320011138916 34.690399169921875 24.68549919128418 0.34599998593330383 4.2829999923706055 -9.0 -9.0 1.4170000553131104 0.12600000202655792
16.100000381469727 16.0 19.38800048828125 19.385099411010742 4.692999839782715 34.68960189819336 24.685199737548828 0.48399999737739563 4.289999961853027 -9.0 -9.0 1.3589999675750732 0.11900000274181366
16.600000381469727 16.5 19.388700485229492 19.385700225830078 4.69320011138916 34.69029998779297 24.68560028076172 0.42800000309944153 4.303999900817871 -9.0 -9.0 1.343999981880188 0.1120000034570694
17.100000381469727 17.0 19.387300491333008 19.384199142456055 4.69290018081665 34.68880081176758 24.684799194335938 0.3179999887943268 4.294000148773193 -9.0 -9.0 1.3940000534057617 0.11699999868869781
17.600000381469727 17.5 19.387100219726562 19.383899688720703 4.69290018081665 34.688899993896484 24.684999465942383 0.3330000042915344 4.296999931335449 -9.0 -9.0 1.3660000562667847 0.11999999731779099
18.100000381469727 18.0 19.38789939880371 19.384599685668945 4.69320011138916 34.69020080566406 24.685800552368164 0.35899999737739563 4.295000076293945 -9.0 -9.0 1.378999948501587 0.12399999797344208
18.600000381469727 18.5 19.38800048828125 19.384599685668945 4.69320011138916 34.690101623535156 24.685699462890625 0.39800000190734863 4.288000106811523 -9.0 -9.0 1.3730000257492065 0.11599999666213989
19.100000381469727 19.0 19.388999938964844 19.38559913635254 4.693399906158447 34.69060134887695 24.685800552368164 0.3790000081062317 4.297999858856201 -9.0 -9.0 1.3669999837875366 0.11299999803304672
19.600000381469727 19.5 19.388999938964844 19.385499954223633 4.693399906158447 34.69060134887695 24.685800552368164 0.3840000033378601 4.302000045776367 -9.0 -9.0 1.4550000429153442 0.11100000143051147
20.100000381469727 20.0 19.38759994506836 19.384000778198242 4.69320011138916 34.689701080322266 24.68560028076172 0.3190000057220459 4.302000045776367 -9.0 -9.0 1.434999942779541 0.10899999737739563
20.600000381469727 20.5 19.386499404907227 19.38279914855957 4.692999839782715 34.68880081176758 24.685199737548828 0.34299999475479126 4.296999931335449 -9.0 -9.0 1.4019999504089355 0.11500000208616257
21.100000381469727 21.0 19.38719940185547 19.383399963378906 4.6930999755859375 34.688899993896484 24.685100555419922 0.42100000381469727 4.296999931335449 -9.0 -9.0 1.343999981880188 0.12300000339746475
21.600000381469727 21.5 19.384899139404297 19.381000518798828 4.69290018081665 34.68949890136719 24.686199188232422 0.414000004529953 4.298999786376953 -9.0 -9.0 1.350000023841858 0.12700000405311584
22.100000381469727 22.0 19.375600814819336 19.371599197387695 4.69189977645874 34.6880989074707 24.6875 0.23000000417232513 4.304999828338623 -9.0 -9.0 1.409999966621399 0.125
22.700000762939453 22.5 19.37619972229004 19.372100830078125 4.691999912261963 34.68840026855469 24.687599182128906 0.22699999809265137 4.301000118255615 -9.0 -9.0 1.3980000019073486 0.11400000005960464
23.200000762939453 23.0 19.376100540161133 19.37190055847168 4.691999912261963 34.68840026855469 24.687700271606445 0.30000001192092896 4.302000045776367 -9.0 -9.0 1.3830000162124634 0.125
23.700000762939453 23.5 19.375499725341797 19.371200561523438 4.69189977645874 34.688201904296875 24.687700271606445 0.1899999976158142 4.302000045776367 -9.0 -9.0 1.347000002861023 0.11599999666213989
24.200000762939453 24.0 19.373300552368164 19.368999481201172 4.691699981689453 34.687801361083984 24.687999725341797 0.30799999833106995 4.306000232696533 -9.0 -9.0 1.350000023841858 0.10700000077486038
24.700000762939453 24.5 19.37339973449707 19.368999481201172 4.691699981689453 34.6875 24.687700271606445 0.27900001406669617 4.307000160217285 -9.0 -9.0 1.3569999933242798 0.11599999666213989
25.200000762939453 25.0 19.3700008392334 19.36549949645996 4.691299915313721 34.686798095703125 24.688100814819336 0.1940000057220459 4.300000190734863 -9.0 -9.0 1.3589999675750732 0.125
25.700000762939453 25.5 19.36910057067871 19.364500045776367 4.691100120544434 34.68629837036133 24.687999725341797 0.24799999594688416 4.313000202178955 -9.0 -9.0 1.371000051498413 0.11500000208616257
26.200000762939453 26.0 19.369600296020508 19.364900588989258 4.691199779510498 34.68659973144531 24.688100814819336 0.23199999332427979 4.309999942779541 -9.0 -9.0 1.3559999465942383 0.1080000028014183
26.700000762939453 26.5 19.373600006103516 19.368799209594727 4.69189977645874 34.68830108642578 24.688400268554688 0.24899999797344208 4.302999973297119 -9.0 -9.0 1.3259999752044678 0.11400000005960464
27.200000762939453 27.0 19.37179946899414 19.366899490356445 4.691699981689453 34.687801361083984 24.688499450683594 0.2879999876022339 4.304999828338623 -9.0 -9.0 1.347000002861023 0.11299999803304672
27.700000762939453 27.5 19.3710994720459 19.366100311279297 4.691500186920166 34.6870002746582 24.688100814819336 0.13500000536441803 4.315000057220459 -9.0 -9.0 1.3930000066757202 0.13699999451637268

In total, there are 49 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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