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Dataset Title:  "NEGOM CTD - n8l04s01.nc - 30.22N, 87.35W - 2000-04-23" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l04s01)
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: 30)
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   30 options
    depth ?  =  m   30 options
    temperature ?  =  degree_C   29 options
    potentialTemperature ?  =  degree_C   30 options
    conductivity ?  =  Siemens per meter   28 options
    salinity ?  =  PSU   30 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   30 options
    par ?  =  umol m-2 s-1   30 options
    parv ?  =  volts   30 options
    fluorescence ?  =  volts   27 options
    backscattering ?  =  volts   24 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 21.243799209594727 21.243200302124023 4.673099994659424 33.045501708984375 22.94099998474121 0.3050000071525574 4.204999923706055 48.0 1.2899999618530273 1.1749999523162842 0.16899999976158142
3.5 3.5 21.244199752807617 21.243499755859375 4.649600028991699 32.85940170288086 22.79949951171875 0.5450000166893005 4.201000213623047 41.720001220703125 1.2289999723434448 1.156999945640564 0.16599999368190765
4.0 4.0 21.240299224853516 21.239500045776367 4.648399829864502 32.85219955444336 22.79509925842285 0.31700000166893005 4.203000068664551 36.189998626708984 1.1660000085830688 1.1469999551773071 0.15600000321865082
4.5 4.5 21.241100311279297 21.24020004272461 4.643599987030029 32.8135986328125 22.765600204467773 0.3319999873638153 4.203999996185303 32.20000076293945 1.1169999837875366 1.1349999904632568 0.1550000011920929
5.0 5.0 21.196300506591797 21.19540023803711 4.642499923706055 32.83890151977539 22.796899795532227 0.32100000977516174 4.211999893188477 28.610000610351562 1.065000057220459 1.156999945640564 0.1550000011920929
5.5 5.5 21.185300827026367 21.184200286865234 4.655700206756592 32.95220184326172 22.88599967956543 0.24400000274181366 4.2170000076293945 24.670000076293945 1.0010000467300415 1.1759999990463257 0.1599999964237213
6.0 6.0 21.182600021362305 21.181400299072266 4.666900157928467 33.04290008544922 22.955799102783203 0.4300000071525574 4.218999862670898 21.940000534057617 0.949999988079071 1.1660000085830688 0.15399999916553497
6.5 6.5 21.178699493408203 21.177499771118164 4.672900199890137 33.09280014038086 22.994800567626953 0.41499999165534973 4.228000164031982 19.799999237060547 0.9049999713897705 1.1480000019073486 0.14800000190734863
7.0 7.0 21.169300079345703 21.167999267578125 4.678100109100342 33.14139938354492 23.034400939941406 0.24400000274181366 4.224999904632568 17.68000030517578 0.8560000061988831 1.1349999904632568 0.1459999978542328
7.599999904632568 7.5 21.159900665283203 21.15850067138672 4.682400226593018 33.18299865722656 23.068500518798828 0.45100000500679016 4.2270002365112305 16.100000381469727 0.8149999976158142 1.121999979019165 0.14399999380111694
8.100000381469727 8.0 21.08989906311035 21.08839988708496 4.6921000480651855 33.31439971923828 23.187299728393555 0.4059999883174896 4.255000114440918 14.140000343322754 0.7590000033378601 1.1449999809265137 0.1379999965429306
8.600000381469727 8.5 21.04290008544922 21.04129981994629 4.723999977111816 33.604400634765625 23.420700073242188 0.22499999403953552 4.252999782562256 13.039999961853027 0.7239999771118164 1.1660000085830688 0.13099999725818634
9.100000381469727 9.0 20.89109992980957 20.889299392700195 4.784900188446045 34.21200180053711 23.924100875854492 0.3919999897480011 4.288000106811523 11.869999885559082 0.6830000281333923 1.2039999961853027 0.12999999523162842
9.600000381469727 9.5 20.859899520874023 20.85810089111328 4.842599868774414 34.70090103149414 24.30459976196289 0.25 4.313000202178955 10.920000076293945 0.6470000147819519 1.1799999475479126 0.12999999523162842
10.100000381469727 10.0 20.803499221801758 20.801599502563477 4.874199867248535 35.00090026855469 24.54840087890625 0.3930000066757202 4.311999797821045 10.359999656677246 0.6240000128746033 1.1610000133514404 0.11900000274181366
10.600000381469727 10.5 20.7106990814209 20.70870018005371 4.897200107574463 35.26359939575195 24.77359962463379 0.42100000381469727 4.320000171661377 9.550000190734863 0.5889999866485596 1.1779999732971191 0.1120000034570694
11.100000381469727 11.0 20.61319923400879 20.611099243164062 4.933300018310547 35.63719940185547 25.0846004486084 0.22499999403953552 4.309999942779541 8.989999771118164 0.5630000233650208 1.2619999647140503 0.12700000405311584
11.600000381469727 11.5 20.591400146484375 20.58919906616211 4.939899921417236 35.70840072631836 25.144800186157227 0.26600000262260437 4.306000232696533 8.479999542236328 0.5370000004768372 1.284999966621399 0.1289999932050705
12.100000381469727 12.0 20.58609962463379 20.583799362182617 4.941500186920166 35.726200103759766 25.159799575805664 0.2630000114440918 4.296000003814697 8.100000381469727 0.5170000195503235 1.2450000047683716 0.11599999666213989
12.600000381469727 12.5 20.58530044555664 20.58289909362793 4.941500186920166 35.726600646972656 25.160400390625 0.25699999928474426 4.290999889373779 7.630000114440918 0.4909999966621399 1.25 0.11999999731779099
13.100000381469727 13.0 20.58449935913086 20.58209991455078 4.941800117492676 35.729801177978516 25.16309928894043 0.3779999911785126 4.2779998779296875 7.21999979019165 0.46799999475479126 1.350000023841858 0.12399999797344208
13.600000381469727 13.5 20.58449935913086 20.582000732421875 4.941699981689453 35.72840118408203 25.16200065612793 0.30399999022483826 4.275000095367432 6.75 0.43799999356269836 1.3509999513626099 0.13099999725818634
14.100000381469727 14.0 20.58329963684082 20.58060073852539 4.941199779510498 35.72570037841797 25.16029930114746 0.3240000009536743 4.261000156402588 6.389999866485596 0.414000004529953 1.2940000295639038 0.12999999523162842
14.600000381469727 14.5 20.583099365234375 20.580400466918945 4.941299915313721 35.72600173950195 25.160600662231445 0.3009999990463257 4.263000011444092 5.929999828338623 0.38199999928474426 1.3250000476837158 0.13899999856948853
15.100000381469727 15.0 20.582300186157227 20.57939910888672 4.941400051116943 35.72760009765625 25.162099838256836 0.22100000083446503 4.25600004196167 5.590000152587891 0.3569999933242798 1.3040000200271606 0.1459999978542328
15.600000381469727 15.5 20.581100463867188 20.578100204467773 4.941699981689453 35.73109817504883 25.16510009765625 0.20600000023841858 4.256999969482422 5.21999979019165 0.3269999921321869 1.3279999494552612 0.14000000059604645
16.100000381469727 16.0 20.579700469970703 20.57670021057129 4.942299842834473 35.73609924316406 25.169300079345703 0.32899999618530273 4.245999813079834 4.900000095367432 0.29899999499320984 1.3680000305175781 0.1340000033378601
16.600000381469727 16.5 20.578699111938477 20.575599670410156 4.942500114440918 35.73910140991211 25.171899795532227 0.21799999475479126 4.239999771118164 4.579999923706055 0.27000001072883606 1.378999948501587 0.14399999380111694
17.100000381469727 17.0 20.57830047607422 20.57509994506836 4.942699909210205 35.74089813232422 25.17340087890625 0.35600000619888306 4.229000091552734 4.300000190734863 0.24199999868869781 1.3389999866485596 0.15299999713897705
17.600000381469727 17.5 20.577600479125977 20.574199676513672 4.94290018081665 35.742801666259766 25.174999237060547 0.11299999803304672 4.230999946594238 3.990000009536743 0.20900000631809235 1.3949999809265137 0.18299999833106995

In total, there are 30 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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