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Dataset Title:  "NEGOM CTD - n8l08s03.nc - 29.4N, 85.0W - 2000-04-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l08s03)
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: 37)
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   37 options
    depth ?  =  m   37 options
    temperature ?  =  degree_C   36 options
    potentialTemperature ?  =  degree_C   36 options
    conductivity ?  =  Siemens per meter   29 options
    salinity ?  =  PSU   36 options
    sigmat ?  =  kg m-3   35 options
    descentRate ?  =  meters per second   34 options
    transmission ?  =  percent   28 options
    par ?  =  umol m-2 s-1   1 option: 2.4600000381469727
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   34 options
    backscattering ?  =  volts   32 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 21.23889923095703 21.23859977722168 5.001299858093262 35.665000915527344 24.934900283813477 0.05900000035762787 4.001999855041504 2.4600000381469727 0.0 1.1749999523162842 0.4860000014305115
2.5 2.5 21.248699188232422 21.248199462890625 5.001100063323975 35.65520095825195 24.924800872802734 0.17599999904632568 3.999000072479248 2.4600000381469727 0.0 1.187000036239624 0.34599998593330383
3.0 3.0 21.251300811767578 21.250699996948242 5.000999927520752 35.652099609375 24.92180061340332 0.1809999942779541 3.996999979019165 2.4600000381469727 0.0 1.1799999475479126 0.34299999475479126
3.5 3.5 21.25200080871582 21.251399993896484 5.000699996948242 35.648399353027344 24.918800354003906 0.35600000619888306 3.999000072479248 2.4600000381469727 0.0 1.1779999732971191 0.3569999933242798
4.0 4.0 21.252700805664062 21.25200080871582 5.000400066375732 35.64580154418945 24.91659927368164 0.382999986410141 3.993000030517578 2.4600000381469727 0.0 1.1729999780654907 0.34599998593330383
4.5 4.5 21.25349998474121 21.252700805664062 5.000699996948242 35.64699935913086 24.917400360107422 0.3089999854564667 3.997999906539917 2.4600000381469727 0.0 1.187999963760376 0.3449999988079071
5.0 5.0 21.2539005279541 21.252899169921875 5.000100135803223 35.6416015625 24.91320037841797 0.2409999966621399 4.001999855041504 2.4600000381469727 0.0 1.2039999961853027 0.32499998807907104
5.5 5.5 21.2549991607666 21.2539005279541 5.000400066375732 35.6431999206543 24.914100646972656 0.31700000166893005 3.989000082015991 2.4600000381469727 0.0 1.1660000085830688 0.3400000035762787
6.0 6.0 21.255300521850586 21.254100799560547 5.00029993057251 35.6421012878418 24.91320037841797 0.39399999380111694 3.999000072479248 2.4600000381469727 0.0 1.1660000085830688 0.33500000834465027
6.5 6.5 21.26140022277832 21.260099411010742 5.000800132751465 35.640201568603516 24.91010093688965 0.35899999737739563 3.99399995803833 2.4600000381469727 0.0 1.1710000038146973 0.3409999907016754
7.0 7.0 21.260900497436523 21.25950050354004 5.000800132751465 35.64070129394531 24.91069984436035 0.25600001215934753 4.002999782562256 2.4600000381469727 0.0 1.184000015258789 0.34700000286102295
7.599999904632568 7.5 21.25819969177246 21.25670051574707 5.000500202178955 35.640098571777344 24.910999298095703 0.2849999964237213 4.00600004196167 2.4600000381469727 0.0 1.1829999685287476 0.32600000500679016
8.100000381469727 8.0 21.26219940185547 21.26059913635254 5.001100063323975 35.64189910888672 24.911300659179688 0.3499999940395355 4.004000186920166 2.4600000381469727 0.0 1.1929999589920044 0.32499998807907104
8.600000381469727 8.5 21.26959991455078 21.26799964904785 5.002399921417236 35.64540100097656 24.91200065612793 0.37700000405311584 3.996999979019165 2.4600000381469727 0.0 1.190000057220459 0.34299999475479126
9.100000381469727 9.0 21.267000198364258 21.265199661254883 5.002999782562256 35.65290069580078 24.918399810791016 0.29100000858306885 3.994999885559082 2.4600000381469727 0.0 1.1790000200271606 0.34299999475479126
9.600000381469727 9.5 21.23550033569336 21.233699798583984 5.004799842834473 35.692901611328125 24.957500457763672 0.2680000066757202 3.996999979019165 2.4600000381469727 0.0 1.1779999732971191 0.35199999809265137
10.100000381469727 10.0 21.188400268554688 21.186399459838867 5.005199909210205 35.73569869995117 25.00309944152832 0.3580000102519989 3.994999885559082 2.4600000381469727 0.0 1.1790000200271606 0.3370000123977661
10.600000381469727 10.5 21.190099716186523 21.188100814819336 5.004700183868408 35.730201721191406 24.99850082397461 0.3440000116825104 3.9839999675750732 2.4600000381469727 0.0 1.2289999723434448 0.4090000092983246
11.100000381469727 11.0 21.177200317382812 21.175100326538086 5.005099773406982 35.74369812011719 25.012300491333008 0.3160000145435333 3.9749999046325684 2.4600000381469727 0.0 1.2419999837875366 0.4480000138282776
11.600000381469727 11.5 21.144399642944336 21.142200469970703 5.00629997253418 35.78070068359375 25.04949951171875 0.2590000033378601 3.9649999141693115 2.4600000381469727 0.0 1.2649999856948853 0.4869999885559082
12.100000381469727 12.0 21.125900268554688 21.123600006103516 5.006999969482422 35.80189895629883 25.07069969177246 0.35499998927116394 3.9560000896453857 2.4600000381469727 0.0 1.2239999771118164 0.5019999742507935
12.600000381469727 12.5 21.128700256347656 21.126300811767578 5.007400035858154 35.802398681640625 25.07029914855957 0.4000000059604645 3.946000099182129 2.4600000381469727 0.0 1.2389999628067017 0.5329999923706055
13.100000381469727 13.0 21.13089942932129 21.128400802612305 5.007800102233887 35.8031005859375 25.07029914855957 0.29100000858306885 3.933000087738037 2.4600000381469727 0.0 1.2569999694824219 0.5320000052452087
13.600000381469727 13.5 21.132299423217773 21.12969970703125 5.007999897003174 35.8036994934082 25.07040023803711 0.2619999945163727 3.934999942779541 2.4600000381469727 0.0 1.2690000534057617 0.4729999899864197
14.100000381469727 14.0 21.13319969177246 21.130399703979492 5.008200168609619 35.804100036621094 25.070499420166016 0.35499998927116394 3.930999994277954 2.4600000381469727 0.0 1.2730000019073486 0.5070000290870667
14.600000381469727 14.5 21.133499145507812 21.130599975585938 5.008299827575684 35.804298400878906 25.070600509643555 0.38999998569488525 3.927999973297119 2.4600000381469727 0.0 1.2999999523162842 0.49799999594688416
15.100000381469727 15.0 21.12980079650879 21.12689971923828 5.007800102233887 35.80350112915039 25.07110023498535 0.2919999957084656 3.927999973297119 2.4600000381469727 0.0 1.2890000343322754 0.4959999918937683
15.600000381469727 15.5 21.127500534057617 21.124500274658203 5.007500171661377 35.80289840698242 25.071300506591797 0.26899999380111694 3.9170000553131104 2.4600000381469727 0.0 1.2910000085830688 0.48399999737739563
16.100000381469727 16.0 21.127300262451172 21.12420082092285 5.007599830627441 35.804100036621094 25.072200775146484 0.3970000147819519 3.921999931335449 2.4600000381469727 0.0 1.284000039100647 0.5289999842643738
16.600000381469727 16.5 21.127199172973633 21.124000549316406 5.007800102233887 35.80540084838867 25.073299407958984 0.367000013589859 3.9210000038146973 2.4600000381469727 0.0 1.2869999408721924 0.5049999952316284
17.100000381469727 17.0 21.127099990844727 21.12380027770996 5.007999897003174 35.80720138549805 25.07469940185547 0.17800000309944153 3.9159998893737793 2.4600000381469727 0.0 1.2829999923706055 0.47999998927116394
17.600000381469727 17.5 21.12779998779297 21.124399185180664 5.008299827575684 35.80849838256836 25.07550048828125 0.15800000727176666 3.930999994277954 2.4600000381469727 0.0 1.2619999647140503 0.4860000014305115
18.100000381469727 18.0 21.127500534057617 21.124000549316406 5.008399963378906 35.809200286865234 25.076099395751953 0.16699999570846558 3.9240000247955322 2.4600000381469727 0.0 1.253999948501587 0.4790000021457672
18.600000381469727 18.5 21.151199340820312 21.147600173950195 5.0167999267578125 35.856300354003906 25.105600357055664 0.14800000190734863 3.927999973297119 2.4600000381469727 0.0 1.2740000486373901 0.5490000247955322
19.100000381469727 19.0 21.196300506591797 21.19260025024414 5.034200191497803 35.95830154418945 25.170900344848633 0.17399999499320984 3.9140000343322754 2.4600000381469727 0.0 1.2920000553131104 0.6190000176429749
19.600000381469727 19.5 21.205699920654297 21.201900482177734 5.038899898529053 35.987998962402344 25.190900802612305 0.16200000047683716 3.875999927520752 2.4600000381469727 0.0 1.2680000066757202 0.6520000100135803
20.100000381469727 20.0 21.213300704956055 21.209400177001953 5.042399883270264 36.009300231933594 25.20509910583496 0.17800000309944153 3.8399999141693115 2.4600000381469727 0.0 1.2860000133514404 0.777999997138977

In total, there are 37 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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