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Dataset Title:  "NEGOM CTD - n8l03s01.nc - 30.11N, 88.08W - 2000-04-24" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l03s01)
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: 33)
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   33 options
    depth ?  =  m   33 options
    temperature ?  =  degree_C   32 options
    potentialTemperature ?  =  degree_C   33 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   32 options
    sigmat ?  =  kg m-3   33 options
    descentRate ?  =  meters per second   32 options
    transmission ?  =  percent   28 options
    par ?  =  umol m-2 s-1   1 option: 2.4600000381469727
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   28 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 21.749799728393555 21.749399185180664 4.542200088500977 31.637399673461914 21.733800888061523 0.16699999570846558 4.076000213623047 2.4600000381469727 0.0 1.2170000076293945 0.32600000500679016
2.5 2.5 21.751399993896484 21.750900268554688 4.544899940490723 31.65760040283203 21.74880027770996 0.2759999930858612 4.0920000076293945 2.4600000381469727 0.0 1.2259999513626099 0.25699999928474426
3.0 3.0 21.76099967956543 21.760400772094727 4.548099994659424 31.675399780273438 21.759599685668945 0.38499999046325684 4.09499979019165 2.4600000381469727 0.0 1.2259999513626099 0.2529999911785126
3.5 3.5 21.759000778198242 21.75830078125 4.548799991607666 31.68160057067871 21.76490020751953 0.5690000057220459 4.1020002365112305 2.4600000381469727 0.0 1.222000002861023 0.2540000081062317
4.0 4.0 21.75830078125 21.757600784301758 4.548799991607666 31.68199920654297 21.765499114990234 0.6380000114440918 4.10699987411499 2.4600000381469727 0.0 1.2419999837875366 0.24400000274181366
4.5 4.5 21.75659942626953 21.755699157714844 4.548699855804443 31.68239974975586 21.766199111938477 0.48899999260902405 4.107999801635742 2.4600000381469727 0.0 1.2510000467300415 0.23100000619888306
5.0 5.0 21.75659942626953 21.755599975585938 4.548699855804443 31.682300567626953 21.76609992980957 0.878000020980835 4.107999801635742 2.4600000381469727 0.0 1.218000054359436 0.23100000619888306
5.5 5.5 21.757600784301758 21.75659942626953 4.548600196838379 31.68079948425293 21.764799118041992 0.6650000214576721 4.1020002365112305 2.4600000381469727 0.0 1.215999960899353 0.2329999953508377
6.0 6.0 21.755599975585938 21.754499435424805 4.548699855804443 31.682899475097656 21.767000198364258 0.5680000185966492 4.105999946594238 2.4600000381469727 0.0 1.2269999980926514 0.23800000548362732
6.5 6.5 21.756200790405273 21.754899978637695 4.548900127410889 31.683399200439453 21.767200469970703 0.6060000061988831 4.110000133514404 2.4600000381469727 0.0 1.2339999675750732 0.24799999594688416
7.0 7.0 21.757200241088867 21.75589942932129 4.548699855804443 31.68160057067871 21.765600204467773 0.49399998784065247 4.11299991607666 2.4600000381469727 0.0 1.2170000076293945 0.24799999594688416
7.599999904632568 7.5 21.760499954223633 21.75909996032715 4.548799991607666 31.67930030822754 21.76300048828125 0.7440000176429749 4.111000061035156 2.4600000381469727 0.0 1.2029999494552612 0.24699999392032623
8.100000381469727 8.0 21.75510025024414 21.753599166870117 4.548900127410889 31.683799743652344 21.767900466918945 0.5289999842643738 4.111999988555908 2.4600000381469727 0.0 1.218000054359436 0.2409999966621399
8.600000381469727 8.5 21.755300521850586 21.753700256347656 4.548900127410889 31.683700561523438 21.767799377441406 0.6919999718666077 4.103000164031982 2.4600000381469727 0.0 1.2200000286102295 0.24300000071525574
9.100000381469727 9.0 21.753700256347656 21.75200080871582 4.548900127410889 31.684799194335938 21.768999099731445 0.8479999899864197 4.078999996185303 2.4600000381469727 0.0 1.1990000009536743 0.2409999966621399
9.600000381469727 9.5 21.748699188232422 21.74690055847168 4.548999786376953 31.68869972229004 21.773399353027344 0.5329999923706055 4.0980000495910645 2.4600000381469727 0.0 1.2130000591278076 0.23999999463558197
10.100000381469727 10.0 21.740400314331055 21.738399505615234 4.549799919128418 31.701499938964844 21.785499572753906 0.8849999904632568 4.105999946594238 2.4600000381469727 0.0 1.2339999675750732 0.2280000001192093
10.600000381469727 10.5 21.736000061035156 21.733999252319336 4.551199913024902 31.71540069580078 21.797199249267578 0.746999979019165 4.099999904632568 2.4600000381469727 0.0 1.2330000400543213 0.23499999940395355
11.100000381469727 11.0 21.74169921875 21.739599227905273 4.552700042724609 31.72249984741211 21.801000595092773 0.5659999847412109 4.111000061035156 2.4600000381469727 0.0 1.225000023841858 0.23999999463558197
11.600000381469727 11.5 21.741300582885742 21.739099502563477 4.55049991607666 31.705799102783203 21.78849983215332 0.9660000205039978 4.099999904632568 2.4600000381469727 0.0 1.2239999771118164 0.24400000274181366
12.100000381469727 12.0 21.503400802612305 21.501100540161133 4.551799774169922 31.89109992980957 21.993900299072266 0.8080000281333923 4.104000091552734 2.4600000381469727 0.0 1.2400000095367432 0.2639999985694885
12.600000381469727 12.5 20.91950035095215 20.91710090637207 4.579599857330322 32.54890060424805 22.65130043029785 0.6610000133514404 3.924999952316284 2.4600000381469727 0.0 1.3049999475479126 0.4659999907016754
13.100000381469727 13.0 20.97920036315918 20.976699829101562 4.6219000816345215 32.839900970458984 22.856599807739258 1.0169999599456787 3.615999937057495 2.4600000381469727 0.0 1.3359999656677246 0.6679999828338623
13.600000381469727 13.5 20.569900512695312 20.567399978637695 4.670100212097168 33.54499816894531 23.502599716186523 0.6039999723434448 3.5810000896453857 2.4600000381469727 0.0 1.4210000038146973 0.8109999895095825
14.100000381469727 14.0 20.453500747680664 20.4507999420166 4.714900016784668 33.99800109863281 23.878599166870117 1.0529999732971191 3.2219998836517334 2.4600000381469727 0.0 1.468999981880188 0.9520000219345093
14.600000381469727 14.5 20.458599090576172 20.455900192260742 4.757699966430664 34.34040069580078 24.138099670410156 0.949999988079071 3.1089999675750732 2.4600000381469727 0.0 1.5110000371932983 1.031999945640564
15.100000381469727 15.0 20.49370002746582 20.49090003967285 4.785900115966797 34.53929901123047 24.28030014038086 0.6039999723434448 3.203000068664551 2.4600000381469727 0.0 1.534000039100647 0.9309999942779541
15.600000381469727 15.5 20.51849937438965 20.515499114990234 4.816800117492676 34.769100189208984 24.44879913330078 1.0709999799728394 3.3519999980926514 2.4600000381469727 0.0 1.503000020980835 0.7889999747276306
16.100000381469727 16.0 20.531700134277344 20.52869987487793 4.831500053405762 34.87739944458008 24.527799606323242 0.6539999842643738 3.312999963760376 2.4600000381469727 0.0 1.531000018119812 0.9440000057220459
16.600000381469727 16.5 20.53529930114746 20.53219985961914 4.839700222015381 34.94060134887695 24.575000762939453 0.6399999856948853 3.1610000133514404 2.4600000381469727 0.0 1.5720000267028809 1.7949999570846558
17.100000381469727 17.0 20.536500930786133 20.533300399780273 4.842700004577637 34.96390151977539 24.59239959716797 0.3840000033378601 2.490000009536743 2.4600000381469727 0.0 1.5920000076293945 2.569000005722046
17.600000381469727 17.5 20.52440071105957 20.521099090576172 4.843599796295166 34.98109817504883 24.608800888061523 0.23899999260902405 1.8969999551773071 2.4600000381469727 0.0 1.6019999980926514 3.3429999351501465
18.100000381469727 18.0 20.45240020751953 20.44890022277832 4.845799922943115 35.05799865722656 24.68670082092285 -0.11999999731779099 1.628999948501587 2.4600000381469727 0.0 1.5800000429153442 4.318999767303467

In total, there are 33 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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