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Dataset Title:  "NEGOM CTD - n1l09s03.nc - 29.34N, 83.86W - 1997-11-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l09s03)
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: 31)
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   31 options
    depth ?  =  m   31 options
    temperature ?  =  degree_C   26 options
    potentialTemperature ?  =  degree_C   26 options
    conductivity ?  =  Siemens per meter   9 options
    salinity ?  =  PSU   11 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   30 options
    transmission ?  =  percent   8 options
    par ?  =  umol m-2 s-1   31 options
    parv ?  =  volts   31 options
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   20 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
3.0 3.0 20.09779930114746 20.097200393676758 4.879899978637695 35.639400482177734 25.223800659179688 0.10300000011920929 4.251999855041504 647.2999877929688 2.9649999141693115 1.2769999504089355 0.23999999463558197
3.5 3.5 20.096500396728516 20.095800399780273 4.879799842834473 35.63959884643555 25.224300384521484 0.4259999990463257 4.251999855041504 597.0 2.927999973297119 1.2970000505447388 0.20999999344348907
4.0 4.0 20.09709930419922 20.096399307250977 4.879899978637695 35.63949966430664 25.22410011291504 0.49399998784065247 4.252999782562256 570.0 2.9089999198913574 1.3029999732971191 0.2029999941587448
4.5 4.5 20.097400665283203 20.096599578857422 4.879899978637695 35.63930130004883 25.223899841308594 0.289000004529953 4.25600004196167 493.79998779296875 2.8469998836517334 1.2890000343322754 0.19699999690055847
5.0 5.0 20.09830093383789 20.097400665283203 4.880099773406982 35.63949966430664 25.223800659179688 0.5180000066757202 4.255000114440918 456.5 2.812999963760376 1.2519999742507935 0.1940000057220459
5.5 5.5 20.098800659179688 20.09779930114746 4.880099773406982 35.639400482177734 25.223600387573242 0.5170000195503235 4.250999927520752 410.20001220703125 2.7669999599456787 1.2829999923706055 0.19099999964237213
6.0 6.0 20.09749984741211 20.096399307250977 4.880000114440918 35.63930130004883 25.224000930786133 0.28999999165534973 4.255000114440918 372.5 2.7239999771118164 1.2869999408721924 0.1940000057220459
6.5 6.5 20.10059928894043 20.09939956665039 4.88040018081665 35.63930130004883 25.22319984436035 0.37400001287460327 4.252999782562256 344.29998779296875 2.690000057220459 1.309000015258789 0.1850000023841858
7.0 7.0 20.101999282836914 20.10070037841797 4.880499839782715 35.639198303222656 25.22279930114746 0.4090000092983246 4.254000186920166 329.70001220703125 2.6710000038146973 1.340000033378601 0.18700000643730164
7.599999904632568 7.5 20.1028995513916 20.101499557495117 4.88070011138916 35.63949966430664 25.22279930114746 0.4189999997615814 4.254000186920166 275.20001220703125 2.5929999351501465 1.3680000305175781 0.210999995470047
8.100000381469727 8.0 20.103300094604492 20.1018009185791 4.880799770355225 35.63970184326172 25.22279930114746 0.3190000057220459 4.25600004196167 286.1000061035156 2.609999895095825 1.3660000562667847 0.20600000023841858
8.600000381469727 8.5 20.103300094604492 20.101699829101562 4.880799770355225 35.63959884643555 25.22279930114746 0.3330000042915344 4.255000114440918 244.60000610351562 2.5420000553131104 1.3509999513626099 0.20000000298023224
9.100000381469727 9.0 20.101699829101562 20.100000381469727 4.8805999755859375 35.63959884643555 25.22319984436035 0.43799999356269836 4.252999782562256 240.8000030517578 2.5350000858306885 1.3420000076293945 0.18299999833106995
9.600000381469727 9.5 20.10219955444336 20.100400924682617 4.88070011138916 35.639400482177734 25.222900390625 0.3529999852180481 4.251999855041504 215.5 2.486999988555908 1.343000054359436 0.1979999989271164
10.100000381469727 10.0 20.102100372314453 20.100200653076172 4.88070011138916 35.639400482177734 25.222999572753906 0.3440000116825104 4.254000186920166 201.89999389648438 2.4590001106262207 1.3580000400543213 0.2029999941587448
10.600000381469727 10.5 20.100799560546875 20.098800659179688 4.880499839782715 35.63909912109375 25.22319984436035 0.37299999594688416 4.251999855041504 190.5 2.434000015258789 1.3869999647140503 0.20499999821186066
11.100000381469727 11.0 20.102100372314453 20.100000381469727 4.88070011138916 35.63930130004883 25.222999572753906 0.39100000262260437 4.249000072479248 177.8000030517578 2.4030001163482666 1.3880000114440918 0.19699999690055847
11.600000381469727 11.5 20.09950065612793 20.097400665283203 4.88040018081665 35.63880157470703 25.22330093383789 0.3840000033378601 4.251999855041504 160.89999389648438 2.359999895095825 1.3799999952316284 0.19599999487400055
12.100000381469727 12.0 20.09910011291504 20.096900939941406 4.880499839782715 35.63930130004883 25.223800659179688 0.32100000977516174 4.250999927520752 157.0 2.3489999771118164 1.402999997138977 0.19900000095367432
12.600000381469727 12.5 20.099700927734375 20.097400665283203 4.8805999755859375 35.63970184326172 25.224000930786133 0.3799999952316284 4.251999855041504 140.1999969482422 2.299999952316284 1.3539999723434448 0.19599999487400055
13.100000381469727 13.0 20.10110092163086 20.09869956970215 4.880799770355225 35.63990020751953 25.223800659179688 0.4099999964237213 4.252999782562256 141.60000610351562 2.305000066757202 1.3550000190734863 0.19200000166893005
13.600000381469727 13.5 20.101200103759766 20.09869956970215 4.880799770355225 35.63970184326172 25.22369956970215 0.40400001406669617 4.251999855041504 123.0999984741211 2.24399995803833 1.3569999933242798 0.20600000023841858
14.100000381469727 14.0 20.10099983215332 20.098400115966797 4.880799770355225 35.63959884643555 25.22369956970215 0.34200000762939453 4.250999927520752 120.80000305175781 2.2360000610351562 1.347000002861023 0.210999995470047
14.600000381469727 14.5 20.10099983215332 20.09830093383789 4.880799770355225 35.63949966430664 25.223600387573242 0.35499998927116394 4.254000186920166 112.30000305175781 2.2039999961853027 1.3489999771118164 0.210999995470047
15.100000381469727 15.0 20.100799560546875 20.097999572753906 4.880799770355225 35.639400482177734 25.223600387573242 0.39100000262260437 4.254000186920166 105.0999984741211 2.174999952316284 1.3860000371932983 0.20200000703334808
15.600000381469727 15.5 20.099599838256836 20.09670066833496 4.8805999755859375 35.63880157470703 25.223499298095703 0.32899999618530273 4.250999927520752 100.30000305175781 2.1549999713897705 1.3509999513626099 0.19900000095367432
16.100000381469727 16.0 20.100099563598633 20.09709930419922 4.88070011138916 35.63880157470703 25.223400115966797 0.421999990940094 4.254000186920166 93.12000274658203 2.122999906539917 1.3279999494552612 0.19699999690055847
16.600000381469727 16.5 20.099899291992188 20.096799850463867 4.8805999755859375 35.63859939575195 25.22330093383789 0.38100001215934753 4.251999855041504 89.47000122070312 2.1050000190734863 1.3380000591278076 0.19499999284744263
17.100000381469727 17.0 20.10070037841797 20.09749984741211 4.880799770355225 35.63880157470703 25.22330093383789 0.3050000071525574 4.254000186920166 83.47000122070312 2.075000047683716 1.3669999837875366 0.19900000095367432
17.600000381469727 17.5 20.100900650024414 20.09760093688965 4.880799770355225 35.63859939575195 25.223100662231445 0.3070000112056732 4.254000186920166 81.51000213623047 2.065000057220459 1.350000023841858 0.2029999941587448
18.100000381469727 18.0 20.099899291992188 20.096500396728516 4.88070011138916 35.638301849365234 25.223100662231445 0.02199999988079071 4.25 81.9000015258789 2.066999912261963 1.3350000381469727 0.2160000056028366

In total, there are 31 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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