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Dataset Title:  "NEGOM CTD - n8l09s05.nc - 29.1N, 84.25W - 2000-04-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l09s05)
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: 47)
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   47 options
    depth ?  =  m   47 options
    temperature ?  =  degree_C   43 options
    potentialTemperature ?  =  degree_C   46 options
    conductivity ?  =  Siemens per meter   34 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   41 options
    descentRate ?  =  meters per second   44 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   1 option: 2.4600000381469727
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   36 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
2.0 2.0 20.890600204467773 20.890199661254883 5.046999931335449 36.32659912109375 25.534299850463867 0.375 4.408999919891357 2.4600000381469727 0.0 0.9240000247955322 0.09099999815225601
2.5 2.5 20.892200469970703 20.891799926757812 5.047100067138672 36.32640075683594 25.533700942993164 0.3400000035762787 4.414999961853027 2.4600000381469727 0.0 0.9139999747276306 0.08299999684095383
3.0 3.0 20.893199920654297 20.89259910583496 5.047299861907959 36.326499938964844 25.53350067138672 0.34299999475479126 4.425000190734863 2.4600000381469727 0.0 0.9449999928474426 0.08299999684095383
3.5 3.5 20.89259910583496 20.89189910888672 5.0472002029418945 36.326499938964844 25.533700942993164 0.3610000014305115 4.422999858856201 2.4600000381469727 0.0 0.8970000147819519 0.08299999684095383
4.0 4.0 20.892499923706055 20.891700744628906 5.0472002029418945 36.32659912109375 25.533899307250977 0.7549999952316284 4.421000003814697 2.4600000381469727 0.0 0.9290000200271606 0.08299999684095383
4.5 4.5 20.892000198364258 20.891199111938477 5.0472002029418945 36.326698303222656 25.534099578857422 0.41499999165534973 4.421999931335449 2.4600000381469727 0.0 0.9049999713897705 0.07500000298023224
5.0 5.0 20.892000198364258 20.89109992980957 5.0472002029418945 36.326698303222656 25.534099578857422 0.19300000369548798 4.425000190734863 2.4600000381469727 0.0 0.8939999938011169 0.06800000369548798
5.5 5.5 20.89299964904785 20.89189910888672 5.047399997711182 36.326698303222656 25.533899307250977 0.32899999618530273 4.426000118255615 2.4600000381469727 0.0 0.9309999942779541 0.06599999964237213
6.0 6.0 20.890499114990234 20.889400482177734 5.047100067138672 36.326698303222656 25.53459930419922 0.1860000044107437 4.426000118255615 2.4600000381469727 0.0 0.9070000052452087 0.0689999982714653
6.5 6.5 20.888399124145508 20.88719940185547 5.046899795532227 36.326698303222656 25.535200119018555 0.15700000524520874 4.425000190734863 2.4600000381469727 0.0 0.906000018119812 0.0689999982714653
7.0 7.0 20.888900756835938 20.887500762939453 5.046999931335449 36.32659912109375 25.53499984741211 0.20900000631809235 4.427999973297119 2.4600000381469727 0.0 0.9810000061988831 0.0689999982714653
7.599999904632568 7.5 20.88610076904297 20.884599685668945 5.0467000007629395 36.32659912109375 25.53580093383789 0.28999999165534973 4.427000045776367 2.4600000381469727 0.0 0.921999990940094 0.06400000303983688
8.100000381469727 8.0 20.88610076904297 20.88450050354004 5.046800136566162 36.32659912109375 25.535900115966797 0.2460000067949295 4.427000045776367 2.4600000381469727 0.0 0.8970000147819519 0.06599999964237213
8.600000381469727 8.5 20.879899978637695 20.878299713134766 5.04610013961792 36.32659912109375 25.537500381469727 0.17499999701976776 4.426000118255615 2.4600000381469727 0.0 0.9010000228881836 0.06700000166893005
9.100000381469727 9.0 20.87689971923828 20.875200271606445 5.04580020904541 36.326698303222656 25.538400650024414 0.28600001335144043 4.425000190734863 2.4600000381469727 0.0 0.9070000052452087 0.06800000369548798
9.600000381469727 9.5 20.87969970703125 20.877899169921875 5.04610013961792 36.32659912109375 25.537700653076172 0.38499999046325684 4.427000045776367 2.4600000381469727 0.0 0.9269999861717224 0.06700000166893005
10.100000381469727 10.0 20.883499145507812 20.88159942626953 5.046599864959717 36.32659912109375 25.53660011291504 0.4059999883174896 4.426000118255615 2.4600000381469727 0.0 0.9279999732971191 0.06599999964237213
10.600000381469727 10.5 20.884899139404297 20.88290023803711 5.046800136566162 36.32680130004883 25.536399841308594 0.7039999961853027 4.426000118255615 2.4600000381469727 0.0 0.8899999856948853 0.06700000166893005
11.100000381469727 11.0 20.88089942932129 20.878799438476562 5.046299934387207 36.326499938964844 25.53730010986328 0.4650000035762787 4.426000118255615 2.4600000381469727 0.0 0.8989999890327454 0.06700000166893005
11.600000381469727 11.5 20.84269905090332 20.840499877929688 5.042300224304199 36.32659912109375 25.54789924621582 0.6740000247955322 4.425000190734863 2.4600000381469727 0.0 0.9449999928474426 0.0689999982714653
12.100000381469727 12.0 20.848600387573242 20.84630012512207 5.043000221252441 36.326698303222656 25.546300888061523 0.43799999356269836 4.426000118255615 2.4600000381469727 0.0 0.9359999895095825 0.07000000029802322
12.600000381469727 12.5 20.848800659179688 20.846399307250977 5.043000221252441 36.326698303222656 25.546300888061523 0.656000018119812 4.426000118255615 2.4600000381469727 0.0 0.8939999938011169 0.07199999690055847
13.100000381469727 13.0 20.84760093688965 20.84510040283203 5.042900085449219 36.32659912109375 25.546600341796875 0.4359999895095825 4.425000190734863 2.4600000381469727 0.0 0.9179999828338623 0.07400000095367432
13.600000381469727 13.5 20.810699462890625 20.8080997467041 5.039000034332275 36.32619857788086 25.556299209594727 0.5979999899864197 4.422999858856201 2.4600000381469727 0.0 0.9660000205039978 0.07400000095367432
14.100000381469727 14.0 20.81089973449707 20.80820083618164 5.039100170135498 36.32640075683594 25.556499481201172 0.5709999799728394 4.421000003814697 2.4600000381469727 0.0 0.9369999766349792 0.07800000160932541
14.600000381469727 14.5 20.827699661254883 20.825000762939453 5.040800094604492 36.32569885253906 25.55139923095703 0.3240000009536743 4.421999931335449 2.4600000381469727 0.0 0.9409999847412109 0.08299999684095383
15.100000381469727 15.0 20.819000244140625 20.816099166870117 5.039999961853027 36.32680130004883 25.55459976196289 0.3310000002384186 4.420000076293945 2.4600000381469727 0.0 0.9480000138282776 0.07500000298023224
15.600000381469727 15.5 20.794099807739258 20.791200637817383 5.037300109863281 36.32609939575195 25.56089973449707 0.24799999594688416 4.421999931335449 2.4600000381469727 0.0 0.9539999961853027 0.07400000095367432
16.100000381469727 16.0 20.743999481201172 20.74090003967285 5.032100200653076 36.32619857788086 25.574600219726562 0.4059999883174896 4.420000076293945 2.4600000381469727 0.0 0.949999988079071 0.0820000022649765
16.600000381469727 16.5 20.72879981994629 20.72559928894043 5.030399799346924 36.325801849365234 25.578500747680664 0.40799999237060547 4.419000148773193 2.4600000381469727 0.0 0.9110000133514404 0.09000000357627869
17.100000381469727 17.0 20.71500015258789 20.71179962158203 5.0289998054504395 36.32600021362305 25.582399368286133 0.2849999964237213 4.418000221252441 2.4600000381469727 0.0 0.9129999876022339 0.08399999886751175
17.600000381469727 17.5 20.695499420166016 20.692100524902344 5.026899814605713 36.324798583984375 25.58679962158203 0.3529999852180481 4.418000221252441 2.4600000381469727 0.0 0.9290000200271606 0.0820000022649765
18.100000381469727 18.0 20.63010025024414 20.626699447631836 5.020199775695801 36.32600021362305 25.605499267578125 0.1940000057220459 4.4120001792907715 2.4600000381469727 0.0 0.9359999895095825 0.0820000022649765
18.600000381469727 18.5 20.616300582885742 20.61280059814453 5.018700122833252 36.32569885253906 25.608999252319336 0.24199999868869781 4.414000034332275 2.4600000381469727 0.0 0.9419999718666077 0.0820000022649765
19.100000381469727 19.0 20.58300018310547 20.57939910888672 5.015200138092041 36.325401306152344 25.617799758911133 0.24899999797344208 4.413000106811523 2.4600000381469727 0.0 0.9419999718666077 0.0860000029206276
19.600000381469727 19.5 20.555299758911133 20.551599502563477 5.012400150299072 36.32619857788086 25.625999450683594 0.1899999976158142 4.414999961853027 2.4600000381469727 0.0 0.9359999895095825 0.09799999743700027
20.100000381469727 20.0 20.548200607299805 20.54439926147461 5.011600017547607 36.32600021362305 25.627700805664062 0.3630000054836273 4.4120001792907715 2.4600000381469727 0.0 0.9330000281333923 0.09600000083446503
20.600000381469727 20.5 20.52869987487793 20.524799346923828 5.0096001625061035 36.32619857788086 25.63319969177246 0.2329999953508377 4.413000106811523 2.4600000381469727 0.0 0.9480000138282776 0.08699999749660492
21.100000381469727 21.0 20.521299362182617 20.51729965209961 5.008900165557861 36.326499938964844 25.635499954223633 0.2549999952316284 4.410999774932861 2.4600000381469727 0.0 0.9449999928474426 0.09799999743700027
21.600000381469727 21.5 20.51959991455078 20.515499114990234 5.008800029754639 36.326698303222656 25.63610076904297 0.2669999897480011 4.414000034332275 2.4600000381469727 0.0 0.9390000104904175 0.10999999940395355
22.100000381469727 22.0 20.52039909362793 20.516199111938477 5.008900165557861 36.326698303222656 25.635900497436523 0.2540000081062317 4.413000106811523 2.4600000381469727 0.0 0.9549999833106995 0.10100000351667404
22.700000762939453 22.5 20.51759910583496 20.5132999420166 5.008600234985352 36.32659912109375 25.636600494384766 0.26100000739097595 4.414000034332275 2.4600000381469727 0.0 0.9760000109672546 0.09099999815225601
23.200000762939453 23.0 20.51759910583496 20.513200759887695 5.008600234985352 36.32659912109375 25.636699676513672 0.19900000095367432 4.413000106811523 2.4600000381469727 0.0 0.9890000224113464 0.09300000220537186
23.700000762939453 23.5 20.51609992980957 20.511600494384766 5.008500099182129 36.32680130004883 25.63719940185547 0.19599999487400055 4.413000106811523 2.4600000381469727 0.0 0.9810000061988831 0.09600000083446503
24.200000762939453 24.0 20.51580047607422 20.51129913330078 5.008500099182129 36.326900482177734 25.637399673461914 0.2540000081062317 4.414000034332275 2.4600000381469727 0.0 0.968999981880188 0.0989999994635582
24.700000762939453 24.5 20.51569938659668 20.51110076904297 5.008500099182129 36.32680130004883 25.637399673461914 0.1899999976158142 4.415999889373779 2.4600000381469727 0.0 0.9520000219345093 0.09300000220537186
25.200000762939453 25.0 20.51569938659668 20.510900497436523 5.008500099182129 36.32680130004883 25.637399673461914 0.07199999690055847 4.414999961853027 2.4600000381469727 0.0 0.9470000267028809 0.09399999678134918

In total, there are 47 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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