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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n6l06s01.nc - 30.18N, 85.88W - 1999-00-26" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l06s01)
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: 35)
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   35 options
    depth ?  =  m   35 options
    temperature ?  =  degree_C   33 options
    potentialTemperature ?  =  degree_C   34 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   28 options
    sigmat ?  =  kg m-3   33 options
    descentRate ?  =  meters per second   33 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   35 options
    parv ?  =  volts   35 options
    fluorescence ?  =  volts   33 options
    backscattering ?  =  volts   1 option: -9.0

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 30.600299835205078 30.599700927734375 5.786300182342529 34.239898681640625 20.950899124145508 -0.07999999821186066 4.0289998054504395 117.0 2.36899995803833 1.409000039100647 -9.0
3.0 3.0 30.600900650024414 30.600099563598633 5.786399841308594 34.239898681640625 20.950700759887695 0.15800000727176666 4.0279998779296875 102.0999984741211 2.306999921798706 1.4210000038146973 -9.0
3.5 3.5 30.60110092163086 30.600200653076172 5.786399841308594 34.239898681640625 20.950700759887695 0.21199999749660492 4.026000022888184 87.73999786376953 2.242000102996826 1.4240000247955322 -9.0
4.0 4.0 30.602399826049805 30.60140037536621 5.786499977111816 34.239898681640625 20.950199127197266 0.21299999952316284 4.0320000648498535 75.63999938964844 2.177000045776367 1.406999945640564 -9.0
4.5 4.5 30.60110092163086 30.600000381469727 5.786399841308594 34.239898681640625 20.9507999420166 0.20200000703334808 4.02400016784668 65.30999755859375 2.114000082015991 1.4179999828338623 -9.0
5.0 5.0 30.59980010986328 30.598499298095703 5.786300182342529 34.239898681640625 20.951200485229492 0.2800000011920929 4.025000095367432 55.33000183105469 2.0409998893737793 1.4299999475479126 -9.0
5.5 5.5 30.599700927734375 30.59830093383789 5.786300182342529 34.2400016784668 20.951400756835938 0.23800000548362732 4.0229997634887695 47.720001220703125 1.9780000448226929 1.437000036239624 -9.0
6.0 6.0 30.59760093688965 30.596099853515625 5.786200046539307 34.240299224853516 20.95240020751953 0.24199999868869781 4.0269999504089355 41.11000061035156 1.9129999876022339 1.440999984741211 -9.0
6.5 6.5 30.59670066833496 30.59510040283203 5.786099910736084 34.240501403808594 20.952899932861328 0.3400000035762787 4.0279998779296875 36.61000061035156 1.8630000352859497 1.4450000524520874 -9.0
7.0 7.0 30.597400665283203 30.595600128173828 5.786200046539307 34.240299224853516 20.952600479125977 0.24699999392032623 4.0269999504089355 31.920000076293945 1.8029999732971191 1.440999984741211 -9.0
7.599999904632568 7.5 30.597900390625 30.59600067138672 5.786300182342529 34.240299224853516 20.95240020751953 0.2240000069141388 4.026000022888184 28.049999237060547 1.746999979019165 1.434000015258789 -9.0
8.100000381469727 8.0 30.597900390625 30.59589958190918 5.786499977111816 34.241600036621094 20.953399658203125 0.2919999957084656 4.026000022888184 24.770000457763672 1.6929999589920044 1.444000005722046 -9.0
8.600000381469727 8.5 30.598600387573242 30.596500396728516 5.787399768829346 34.247100830078125 20.957300186157227 0.28200000524520874 4.025000095367432 21.889999389648438 1.6390000581741333 1.4529999494552612 -9.0
9.100000381469727 9.0 30.598400115966797 30.596099853515625 5.787399768829346 34.24700164794922 20.957399368286133 0.2070000022649765 4.0269999504089355 19.440000534057617 1.5880000591278076 1.4559999704360962 -9.0
9.600000381469727 9.5 30.614700317382812 30.612300872802734 5.792099952697754 34.2666015625 20.96649932861328 0.3019999861717224 4.02400016784668 17.3700008392334 1.5390000343322754 1.465000033378601 -9.0
10.100000381469727 10.0 30.685800552368164 30.683300018310547 5.813600063323975 34.359798431396484 21.01180076599121 0.3230000138282776 4.033999919891357 15.380000114440918 1.4859999418258667 1.4830000400543213 -9.0
10.600000381469727 10.5 30.8169002532959 30.814199447631836 5.851399898529053 34.51900100708008 21.085599899291992 0.20900000631809235 4.052000045776367 13.989999771118164 1.4450000524520874 1.496000051498413 -9.0
11.100000381469727 11.0 30.922100067138672 30.919300079345703 5.881400108337402 34.64440155029297 21.14299964904785 0.28299999237060547 4.064000129699707 12.479999542236328 1.3949999809265137 1.5069999694824219 -9.0
11.600000381469727 11.5 30.941200256347656 30.93829917907715 5.887700080871582 34.672401428222656 21.15730094909668 0.3190000057220459 4.052000045776367 11.329999923706055 1.3530000448226929 1.5219999551773071 -9.0
12.100000381469727 12.0 30.87579917907715 30.872699737548828 5.8927998542785645 34.752498626708984 21.239999771118164 0.22100000083446503 4.052999973297119 10.34000015258789 1.3140000104904175 1.5369999408721924 -9.0
12.600000381469727 12.5 30.73710060119629 30.73390007019043 5.895299911499023 34.8672981262207 21.37420082092285 0.25699999928474426 4.059000015258789 9.319999694824219 1.2690000534057617 1.5210000276565552 -9.0
13.100000381469727 13.0 30.64419937133789 30.640899658203125 5.898399829864502 34.9546012878418 21.471799850463867 0.30300000309944153 4.118000030517578 8.539999961853027 1.2300000190734863 1.4570000171661377 -9.0
13.600000381469727 13.5 30.56719970703125 30.563800811767578 5.899499893188477 35.01649856567383 21.54490089416504 0.23100000619888306 4.107999801635742 7.760000228881836 1.1890000104904175 1.4320000410079956 -9.0
14.100000381469727 14.0 30.516300201416016 30.512800216674805 5.898499965667725 35.04690170288086 21.5851993560791 0.2630000114440918 4.130000114440918 6.980000019073486 1.1430000066757202 1.4229999780654907 -9.0
14.600000381469727 14.5 30.47439956665039 30.470699310302734 5.896999835968018 35.06629943847656 21.614299774169922 0.2540000081062317 4.144000053405762 6.429999828338623 1.1069999933242798 1.4129999876022339 -9.0
15.100000381469727 15.0 30.41659927368164 30.412799835205078 5.894700050354004 35.092899322509766 21.654199600219727 0.2770000100135803 4.1570000648498535 5.940000057220459 1.0729999542236328 1.4140000343322754 -9.0
15.600000381469727 15.5 30.354900360107422 30.35099983215332 5.891300201416016 35.11429977416992 21.691499710083008 0.2290000021457672 4.1519999504089355 5.420000076293945 1.0329999923706055 1.409999966621399 -9.0
16.100000381469727 16.0 30.241199493408203 30.237199783325195 5.881499767303467 35.130401611328125 21.742700576782227 0.28299999237060547 4.190999984741211 5.050000190734863 1.0019999742507935 1.3760000467300415 -9.0
16.600000381469727 16.5 30.09079933166504 30.086700439453125 5.870699882507324 35.166099548339844 21.82110023498535 0.25099998712539673 4.208000183105469 4.699999809265137 0.9710000157356262 1.3380000591278076 -9.0
17.100000381469727 17.0 30.05470085144043 30.050399780273438 5.869500160217285 35.18389892578125 21.846799850463867 0.25699999928474426 4.230999946594238 4.389999866485596 0.9419999718666077 1.3040000200271606 -9.0
17.600000381469727 17.5 29.95680046081543 29.95240020751953 5.86460018157959 35.221900939941406 21.90880012512207 0.2709999978542328 4.2230000495910645 4.099999904632568 0.9120000004768372 1.3040000200271606 -9.0
18.100000381469727 18.0 29.791099548339844 29.78660011291504 5.857600212097168 35.29520034790039 22.020299911499023 0.2409999966621399 4.2270002365112305 3.859999895095825 0.8849999904632568 1.2940000295639038 -9.0
18.600000381469727 18.5 29.662500381469727 29.657899856567383 5.852399826049805 35.35369873046875 22.107900619506836 0.27900001406669617 4.216000080108643 3.6500000953674316 0.8610000014305115 1.2949999570846558 -9.0
19.100000381469727 19.0 29.59440040588379 29.58970069885254 5.849699974060059 35.385101318359375 22.154699325561523 0.23600000143051147 4.202000141143799 3.430000066757202 0.8349999785423279 1.3320000171661377 -9.0
19.600000381469727 19.5 29.382200241088867 29.377399444580078 5.837299823760986 35.4567985534668 22.28030014038086 0.1340000033378601 4.035999774932861 3.25 0.8109999895095825 1.3739999532699585 -9.0

In total, there are 35 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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