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Dataset Title:  "NEGOM CTD - n2l06s01.nc - 30.18N, 85.89W - 1998-05-11" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l06s01)
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: 34)
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   34 options
    depth ?  =  m   34 options
    temperature ?  =  degree_C   33 options
    potentialTemperature ?  =  degree_C   33 options
    conductivity ?  =  Siemens per meter   29 options
    salinity ?  =  PSU   33 options
    sigmat ?  =  kg m-3   34 options
    descentRate ?  =  meters per second   33 options
    transmission ?  =  percent   31 options
    par ?  =  umol m-2 s-1   34 options
    parv ?  =  volts   34 options
    fluorescence ?  =  volts   32 options
    backscattering ?  =  volts   30 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 20.79360008239746 20.793100357055664 4.912700176239014 35.32270050048828 24.795799255371094 0.17499999701976776 3.9760000705718994 74.68000030517578 1.965000033378601 1.371999979019165 0.28700000047683716
3.0 3.0 20.78969955444336 20.789100646972656 4.912499904632568 35.32400131225586 24.79789924621582 0.33399999141693115 3.9790000915527344 40.91999816894531 1.7589999437332153 1.3830000162124634 0.24300000071525574
3.5 3.5 20.7893009185791 20.78860092163086 4.912499904632568 35.32429885864258 24.798200607299805 0.22300000488758087 3.9749999046325684 35.04999923706055 1.6979999542236328 1.378999948501587 0.24199999868869781
4.0 4.0 20.780899047851562 20.780099868774414 4.9120001792907715 35.326698303222656 24.802400588989258 0.3490000069141388 3.9800000190734863 30.5 1.6380000114440918 1.4010000228881836 0.23499999940395355
4.5 4.5 20.743200302124023 20.742300033569336 4.909800052642822 35.340301513671875 24.822999954223633 0.4009999930858612 3.9809999465942383 27.600000381469727 1.593999981880188 1.3990000486373901 0.23899999260902405
5.0 5.0 20.748199462890625 20.74720001220703 4.910099983215332 35.33869934082031 24.82040023803711 0.27900001406669617 3.9760000705718994 24.520000457763672 1.5420000553131104 1.3960000276565552 0.25099998712539673
5.5 5.5 20.742000579833984 20.740999221801758 4.909800052642822 35.34120178222656 24.823999404907227 0.33500000834465027 3.9760000705718994 19.81999969482422 1.4509999752044678 1.3839999437332153 0.2540000081062317
6.0 6.0 20.717300415039062 20.71619987487793 4.908299922943115 35.349300384521484 24.83690071105957 0.3070000112056732 3.9769999980926514 18.510000228881836 1.4199999570846558 1.3799999952316284 0.24400000274181366
6.5 6.5 20.71489906311035 20.713699340820312 4.908100128173828 35.34939956665039 24.837600708007812 0.27000001072883606 3.9760000705718994 16.8799991607666 1.38100004196167 1.3839999437332153 0.24699999392032623
7.0 7.0 20.707000732421875 20.705699920654297 4.907700061798096 35.352298736572266 24.841999053955078 0.4339999854564667 3.9730000495910645 14.90999984741211 1.3270000219345093 1.3849999904632568 0.23999999463558197
7.599999904632568 7.5 20.464599609375 20.463199615478516 4.892899990081787 35.43470001220703 24.97010040283203 0.34299999475479126 3.9590001106262207 13.109999656677246 1.2699999809265137 1.409999966621399 0.2409999966621399
8.100000381469727 8.0 20.17970085144043 20.178199768066406 4.875400066375732 35.53129959106445 25.119800567626953 0.23999999463558197 3.950000047683716 11.619999885559082 1.218999981880188 1.4630000591278076 0.25999999046325684
8.600000381469727 8.5 20.02720069885254 20.02560043334961 4.865699768066406 35.580101013183594 25.197500228881836 0.2669999897480011 3.884000062942505 10.84000015258789 1.187999963760376 1.5410000085830688 0.2809999883174896
9.100000381469727 9.0 19.863399505615234 19.8617000579834 4.855500221252441 35.63520050048828 25.282800674438477 0.4449999928474426 3.75600004196167 9.579999923706055 1.1349999904632568 1.6109999418258667 0.3050000071525574
9.600000381469727 9.5 19.71139907836914 19.7096004486084 4.846099853515625 35.686798095703125 25.362199783325195 0.4650000035762787 3.683000087738037 8.729999542236328 1.093999981880188 1.6920000314712524 0.36399999260902405
10.100000381469727 10.0 19.70359992980957 19.701799392700195 4.845200061798096 35.686100006103516 25.363800048828125 0.23999999463558197 3.4660000801086426 7.949999809265137 1.0540000200271606 1.99399995803833 0.45100000500679016
10.600000381469727 10.5 19.571199417114258 19.569299697875977 4.84119987487793 35.76559829711914 25.4591007232666 0.37400001287460327 3.364000082015991 7.349999904632568 1.0190000534057617 2.132999897003174 0.5389999747276306
11.100000381469727 11.0 19.409700393676758 19.407699584960938 4.8404998779296875 35.89830017089844 25.60260009765625 0.5019999742507935 3.2079999446868896 6.289999961853027 0.9520000219345093 2.0789999961853027 0.5350000262260437
11.600000381469727 11.5 19.344900131225586 19.34280014038086 4.8379998207092285 35.933101654052734 25.646099090576172 0.47600001096725464 3.296999931335449 5.25 0.8730000257492065 2.071000099182129 0.531000018119812
12.100000381469727 12.0 19.34670066833496 19.344499588012695 4.837800025939941 35.930198669433594 25.64349937438965 0.27799999713897705 3.3959999084472656 4.550000190734863 0.8109999895095825 2.0390000343322754 0.46799999475479126
12.600000381469727 12.5 19.20170021057129 19.199399948120117 4.831900119781494 36.00579833984375 25.738800048828125 0.4690000116825104 3.5220000743865967 3.799999952316284 0.7329999804496765 1.996999979019165 0.4050000011920929
13.100000381469727 13.0 19.150999069213867 19.14859962463379 4.82919979095459 36.02750015258789 25.76849937438965 0.5170000195503235 3.630000114440918 3.2200000286102295 0.6610000133514404 1.9529999494552612 0.4050000011920929
13.600000381469727 13.5 19.15489959716797 19.15250015258789 4.829400062561035 36.0255012512207 25.766000747680664 0.29600000381469727 3.6989998817443848 2.809999942779541 0.6019999980926514 1.9299999475479126 0.4339999854564667
14.100000381469727 14.0 19.135000228881836 19.13249969482422 4.828700065612793 36.03630065917969 25.779499053955078 0.23800000548362732 3.734999895095825 2.390000104904175 0.5320000052452087 1.8919999599456787 0.3790000081062317
14.600000381469727 14.5 19.103599548339844 19.10099983215332 4.827099800109863 36.05030059814453 25.798200607299805 0.2329999953508377 3.7720000743865967 2.1700000762939453 0.48899999260902405 1.8919999599456787 0.3240000009536743
15.100000381469727 15.0 19.09670066833496 19.0939998626709 4.8267998695373535 36.053199768066406 25.802200317382812 0.20200000703334808 3.7860000133514404 1.8600000143051147 0.421999990940094 1.8639999628067017 0.34700000286102295
15.600000381469727 15.5 19.08530044555664 19.082500457763672 4.826200008392334 36.05799865722656 25.808900833129883 0.21400000154972076 3.808000087738037 1.6799999475479126 0.3779999911785126 1.8819999694824219 0.3659999966621399
16.100000381469727 16.0 19.087200164794922 19.084299087524414 4.826499938964844 36.05889892578125 25.809099197387695 0.20999999344348907 3.819999933242798 1.4600000381469727 0.31700000166893005 1.8660000562667847 0.38100001215934753
16.600000381469727 16.5 19.08340072631836 19.080400466918945 4.826200008392334 36.05979919433594 25.810800552368164 0.20000000298023224 3.813999891281128 1.2899999618530273 0.26600000262260437 1.815999984741211 0.38100001215934753
17.100000381469727 17.0 19.08049964904785 19.07740020751953 4.826000213623047 36.059898376464844 25.811599731445312 0.33000001311302185 3.815000057220459 1.1699999570846558 0.22200000286102295 1.8229999542236328 0.3659999966621399
17.600000381469727 17.5 19.08180046081543 19.07859992980957 4.826099872589111 36.05970001220703 25.811199188232422 0.20900000631809235 3.812000036239624 1.0499999523162842 0.17299999296665192 1.8650000095367432 0.34299999475479126
18.100000381469727 18.0 19.08099937438965 19.077699661254883 4.826000213623047 36.059600830078125 25.81130027770996 0.3050000071525574 3.819000005722046 0.949999988079071 0.12999999523162842 1.819000005722046 0.36899998784065247
18.600000381469727 18.5 19.08099937438965 19.077699661254883 4.826099872589111 36.05979919433594 25.811500549316406 0.30300000309944153 3.812999963760376 0.8500000238418579 0.08299999684095383 1.840000033378601 0.3919999897480011
19.100000381469727 19.0 19.083099365234375 19.079700469970703 4.826300144195557 36.05929946899414 25.81060028076172 0.10899999737739563 3.821000099182129 0.75 0.028999999165534973 1.8700000047683716 0.38100001215934753

In total, there are 34 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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