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Dataset Title:  "NEGOM CTD - n7l05s01.nc - 30.37N, 86.58W - 1999-11-16" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l05s01)
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: 32)
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   32 options
    depth ?  =  m   32 options
    temperature ?  =  degree_C   29 options
    potentialTemperature ?  =  degree_C   31 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   30 options
    sigmat ?  =  kg m-3   23 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   21 options
    par ?  =  umol m-2 s-1   32 options
    parv ?  =  volts   32 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   25 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
2.5 2.5 21.441600799560547 21.441099166870117 5.00029993057251 35.488399505615234 24.744699478149414 0.08299999684095383 4.22599983215332 104.0 2.315999984741211 1.0579999685287476 0.20499999821186066
3.0 3.0 21.44230079650879 21.441699981689453 5.000400066375732 35.48860168457031 24.744699478149414 0.18199999630451202 4.223999977111816 93.87000274658203 2.2709999084472656 1.0540000200271606 0.21899999678134918
3.5 3.5 21.44540023803711 21.444700241088867 5.000699996948242 35.48780059814453 24.743200302124023 0.1809999942779541 4.22599983215332 78.16999816894531 2.191999912261963 1.0839999914169312 0.21299999952316284
4.0 4.0 21.445600509643555 21.444799423217773 5.000699996948242 35.48809814453125 24.74340057373047 0.21299999952316284 4.224999904632568 69.19999694824219 2.1389999389648438 1.0420000553131104 0.19599999487400055
4.5 4.5 21.445600509643555 21.444700241088867 5.000800132751465 35.487998962402344 24.74340057373047 0.22499999403953552 4.2210001945495605 67.08999633789062 2.125999927520752 1.0240000486373901 0.21899999678134918
5.0 5.0 21.444400787353516 21.44339942932129 5.0005998611450195 35.48780059814453 24.743600845336914 0.20600000023841858 4.223999977111816 68.01000213623047 2.131999969482422 1.0479999780654907 0.24199999868869781
5.5 5.5 21.444400787353516 21.443300247192383 5.000699996948242 35.48789978027344 24.74370002746582 0.2199999988079071 4.205999851226807 64.22000122070312 2.1070001125335693 1.0729999542236328 0.22699999809265137
6.0 6.0 21.44580078125 21.444599151611328 5.000800132751465 35.487998962402344 24.74340057373047 0.23800000548362732 4.223999977111816 60.52000045776367 2.0810000896453857 1.0989999771118164 0.21299999952316284
6.5 6.5 21.44700050354004 21.44569969177246 5.001100063323975 35.48899841308594 24.743900299072266 0.19900000095367432 4.22599983215332 57.18000030517578 2.056999921798706 1.0420000553131104 0.21299999952316284
7.0 7.0 21.44860076904297 21.447200775146484 5.001399993896484 35.489601135253906 24.743900299072266 0.21899999678134918 4.224999904632568 54.77000045776367 2.0380001068115234 1.0490000247955322 0.210999995470047
7.599999904632568 7.5 21.448299407958984 21.446800231933594 5.001399993896484 35.4900016784668 24.744300842285156 0.23600000143051147 4.223999977111816 51.97999954223633 2.015000104904175 1.0520000457763672 0.24899999797344208
8.100000381469727 8.0 21.45240020751953 21.4507999420166 5.002099990844727 35.49190139770508 24.744699478149414 0.20100000500679016 4.216000080108643 49.33000183105469 1.9919999837875366 1.0839999914169312 0.2529999911785126
8.600000381469727 8.5 21.447500228881836 21.44580078125 5.001399993896484 35.48970031738281 24.744400024414062 0.20900000631809235 4.2170000076293945 47.04999923706055 1.972000002861023 1.062000036239624 0.210999995470047
9.100000381469727 9.0 21.459999084472656 21.458200454711914 5.003499984741211 35.49620056152344 24.745899200439453 0.25099998712539673 4.21999979019165 44.540000915527344 1.9479999542236328 1.059999942779541 0.21799999475479126
9.600000381469727 9.5 21.4591007232666 21.457199096679688 5.003399848937988 35.49599838256836 24.746000289916992 0.2070000022649765 4.215000152587891 42.380001068115234 1.9259999990463257 1.0429999828338623 0.21299999952316284
10.100000381469727 10.0 21.45680046081543 21.45479965209961 5.003200054168701 35.496498107910156 24.747100830078125 0.20499999821186066 4.2230000495910645 40.400001525878906 1.906000018119812 1.0720000267028809 0.2070000022649765
10.600000381469727 10.5 21.45639991760254 21.454299926757812 5.003200054168701 35.49660110473633 24.747299194335938 0.23899999260902405 4.224999904632568 38.849998474121094 1.8890000581741333 1.1169999837875366 0.1889999955892563
11.100000381469727 11.0 21.456600189208984 21.454500198364258 5.003300189971924 35.496700286865234 24.747299194335938 0.21899999678134918 4.2210001945495605 37.31999969482422 1.871000051498413 1.0740000009536743 0.21799999475479126
11.600000381469727 11.5 21.455799102783203 21.453500747680664 5.003200054168701 35.496299743652344 24.74720001220703 0.19200000166893005 4.214000225067139 36.11000061035156 1.8569999933242798 1.0950000286102295 0.21299999952316284
12.100000381469727 12.0 21.467599868774414 21.465299606323242 5.0055999755859375 35.505401611328125 24.750900268554688 0.24500000476837158 4.2179999351501465 34.970001220703125 1.843000054359436 1.1069999933242798 0.20800000429153442
12.600000381469727 12.5 21.469900131225586 21.467500686645508 5.006100177764893 35.507301330566406 24.751800537109375 0.21899999678134918 4.214000225067139 34.040000915527344 1.8309999704360962 1.125 0.2199999988079071
13.100000381469727 13.0 21.47439956665039 21.471900939941406 5.0071001052856445 35.511600494384766 24.753799438476562 0.19499999284744263 4.214000225067139 33.209999084472656 1.8209999799728394 1.1469999551773071 0.23199999332427979
13.600000381469727 13.5 21.475000381469727 21.472400665283203 5.007199764251709 35.51179885864258 24.7539005279541 0.2329999953508377 4.198999881744385 32.43000030517578 1.809999942779541 1.1299999952316284 0.24799999594688416
14.100000381469727 14.0 21.473899841308594 21.471200942993164 5.006899833679199 35.51029968261719 24.753000259399414 0.22699999809265137 4.197000026702881 31.65999984741211 1.7999999523162842 1.1399999856948853 0.24400000274181366
14.600000381469727 14.5 21.47410011291504 21.47130012512207 5.006999969482422 35.51070022583008 24.753299713134766 0.19900000095367432 4.196000099182129 31.010000228881836 1.7910000085830688 1.1799999475479126 0.23999999463558197
15.100000381469727 15.0 21.472700119018555 21.46980094909668 5.006700038909912 35.5093994140625 24.75279998779297 0.2240000069141388 4.195000171661377 30.540000915527344 1.784000039100647 1.1660000085830688 0.2329999953508377
15.600000381469727 15.5 21.472700119018555 21.46969985961914 5.006800174713135 35.509700775146484 24.753000259399414 0.2240000069141388 4.184999942779541 30.059999465942383 1.7769999504089355 1.1920000314712524 0.24300000071525574
16.100000381469727 16.0 21.476299285888672 21.47319984436035 5.007500171661377 35.512298583984375 24.753999710083008 0.20600000023841858 4.199999809265137 29.559999465942383 1.7699999809265137 1.1649999618530273 0.25200000405311584
16.600000381469727 16.5 21.476600646972656 21.473400115966797 5.007599830627441 35.51250076293945 24.754100799560547 0.2199999988079071 4.192999839782715 29.049999237060547 1.7619999647140503 1.1430000066757202 0.2460000067949295
17.100000381469727 17.0 21.48040008544922 21.477100372314453 5.008299827575684 35.51490020751953 24.754899978637695 0.21699999272823334 4.184999942779541 28.450000762939453 1.753000020980835 1.152999997138977 0.29600000381469727
17.600000381469727 17.5 21.483299255371094 21.479900360107422 5.008699893951416 35.515899658203125 24.754899978637695 0.18199999630451202 4.166999816894531 27.56999969482422 1.7400000095367432 1.1799999475479126 0.3630000054836273
18.100000381469727 18.0 21.48579978942871 21.4822998046875 5.008999824523926 35.51570129394531 24.754100799560547 0.11599999666213989 4.14300012588501 27.309999465942383 1.7350000143051147 1.1690000295639038 0.4390000104904175

In total, there are 32 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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