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Dataset Title:  "NEGOM CTD - n2l09s03.nc - 29.34N, 83.86W - 1998-05-00" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l09s03)
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: 32)
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   32 options
    depth ?  =  m   32 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   26 options
    salinity ?  =  PSU   32 options
    sigmat ?  =  kg m-3   28 options
    descentRate ?  =  meters per second   29 options
    transmission ?  =  percent   20 options
    par ?  =  umol m-2 s-1   32 options
    parv ?  =  volts   32 options
    fluorescence ?  =  volts   27 options
    backscattering ?  =  volts   21 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 23.47369956970215 23.47319984436035 4.821199893951416 32.513301849365234 21.91320037841797 -0.09799999743700027 4.131999969482422 127.5999984741211 2.2660000324249268 1.3660000562667847 0.19099999964237213
3.0 3.0 23.47410011291504 23.473499298095703 4.821300029754639 32.51350021362305 21.913299560546875 0.1509999930858612 4.13100004196167 96.98999786376953 2.1389999389648438 1.371999979019165 0.16699999570846558
3.5 3.5 23.47610092163086 23.475400924682617 4.821599960327148 32.514400482177734 21.913400650024414 0.2939999997615814 4.13100004196167 81.1500015258789 2.062999963760376 1.3839999437332153 0.164000004529953
4.0 4.0 23.47800064086914 23.47719955444336 4.821899890899658 32.51539993286133 21.91360092163086 0.3100000023841858 4.13100004196167 74.06999969482422 2.0220000743865967 1.3899999856948853 0.16099999845027924
4.5 4.5 23.4778995513916 23.476999282836914 4.822000026702881 32.515499114990234 21.913799285888672 0.3330000042915344 4.131999969482422 60.599998474121094 1.934999942779541 1.3799999952316284 0.1599999964237213
5.0 5.0 23.478200912475586 23.47719955444336 4.822000026702881 32.515098571777344 21.913400650024414 0.28700000047683716 4.132999897003174 51.33000183105469 1.8639999628067017 1.371999979019165 0.16099999845027924
5.5 5.5 23.478099822998047 23.476999282836914 4.8221001625061035 32.51570129394531 21.91390037536621 0.2460000067949295 4.131999969482422 42.88999938964844 1.784999966621399 1.378000020980835 0.16500000655651093
6.0 6.0 23.479799270629883 23.478599548339844 4.822299957275391 32.516300201416016 21.91390037536621 0.33399999141693115 4.131999969482422 38.470001220703125 1.7380000352859497 1.3890000581741333 0.16500000655651093
6.5 6.5 23.48150062561035 23.480199813842773 4.8225998878479 32.51679992675781 21.913799285888672 0.1889999955892563 4.131999969482422 32.61000061035156 1.6670000553131104 1.38100004196167 0.164000004529953
7.0 7.0 23.482099533081055 23.48069953918457 4.822700023651123 32.5172004699707 21.913999557495117 0.3100000023841858 4.13100004196167 27.860000610351562 1.5989999771118164 1.3860000371932983 0.16500000655651093
7.599999904632568 7.5 23.48200035095215 23.480499267578125 4.822700023651123 32.516998291015625 21.91390037536621 0.2409999966621399 4.131999969482422 24.520000457763672 1.5429999828338623 1.3880000114440918 0.16599999368190765
8.100000381469727 8.0 23.479400634765625 23.477800369262695 4.8225998878479 32.517799377441406 21.915300369262695 0.47600001096725464 4.130000114440918 21.770000457763672 1.4910000562667847 1.3700000047683716 0.16300000250339508
8.600000381469727 8.5 23.47920036315918 23.477399826049805 4.822800159454346 32.519500732421875 21.91659927368164 0.3610000014305115 4.126999855041504 19.020000457763672 1.4320000410079956 1.38100004196167 0.16300000250339508
9.100000381469727 9.0 23.480600357055664 23.478700637817383 4.822999954223633 32.51959991455078 21.916400909423828 0.3700000047683716 4.119999885559082 16.790000915527344 1.378000020980835 1.3890000581741333 0.17000000178813934
9.600000381469727 9.5 23.48069953918457 23.478700637817383 4.823400020599365 32.522300720214844 21.918399810791016 0.2280000001192093 4.122000217437744 14.729999542236328 1.3209999799728394 1.3869999647140503 0.16300000250339508
10.100000381469727 10.0 23.479299545288086 23.47719955444336 4.823599815368652 32.524600982666016 21.92060089111328 0.22100000083446503 4.119999885559082 13.050000190734863 1.2690000534057617 1.3760000467300415 0.16699999570846558
10.600000381469727 10.5 23.47610092163086 23.473899841308594 4.823699951171875 32.52790069580078 21.923999786376953 0.2160000056028366 4.11899995803833 11.239999771118164 1.2039999961853027 1.3849999904632568 0.1679999977350235
11.100000381469727 11.0 23.463499069213867 23.461200714111328 4.823599815368652 32.53630065917969 21.93400001525879 0.24199999868869781 4.116000175476074 10.050000190734863 1.156000018119812 1.3899999856948853 0.16599999368190765
11.600000381469727 11.5 23.42490005493164 23.422500610351562 4.821100234985352 32.5452995300293 21.95199966430664 0.3100000023841858 4.0980000495910645 8.8100004196167 1.0980000495910645 1.402999997138977 0.16899999976158142
12.100000381469727 12.0 23.111600875854492 23.10919952392578 4.803999900817871 32.64680099487305 22.118799209594727 0.38100001215934753 4.077000141143799 8.029999732971191 1.0579999685287476 1.4620000123977661 0.16899999976158142
12.600000381469727 12.5 22.329599380493164 22.32710075378418 4.78980016708374 33.12480163574219 22.702499389648438 0.3619999885559082 4.057000160217285 7.070000171661377 1.0019999742507935 1.4919999837875366 0.17000000178813934
13.100000381469727 13.0 20.838699340820312 20.836200714111328 4.690899848937988 33.499000549316406 23.395700454711914 0.37599998712539673 4.059000015258789 6.429999828338623 0.9610000252723694 1.6169999837875366 0.17100000381469727
13.600000381469727 13.5 19.751800537109375 19.749300003051758 4.6442999839782715 33.989601135253906 24.056699752807617 0.23000000417232513 4.059999942779541 5.639999866485596 0.9049999713897705 1.5679999589920044 0.17399999499320984
14.100000381469727 14.0 19.43589973449707 19.433399200439453 4.631700038909912 34.14350128173828 24.25589942932129 0.23600000143051147 4.0980000495910645 5.050000190734863 0.8569999933242798 1.4780000448226929 0.17599999904632568
14.600000381469727 14.5 19.39430046081543 19.391700744628906 4.631800174713135 34.177799224853516 24.292800903320312 0.17900000512599945 4.11299991607666 4.510000228881836 0.8080000281333923 1.4229999780654907 0.1940000057220459
15.100000381469727 15.0 19.381200790405273 19.37849998474121 4.633299827575684 34.20100021362305 24.313899993896484 0.20900000631809235 4.109000205993652 3.940000057220459 0.7490000128746033 1.3650000095367432 0.23600000143051147
15.600000381469727 15.5 19.37779998779297 19.375 4.634300231933594 34.212100982666016 24.323200225830078 0.33899998664855957 4.104000091552734 3.4700000286102295 0.6930000185966492 1.3459999561309814 0.2709999978542328
16.100000381469727 16.0 19.37579917907715 19.372900009155273 4.634399890899658 34.21419906616211 24.32539939880371 0.22599999606609344 4.104000091552734 3.2799999713897705 0.6690000295639038 1.350000023841858 0.3070000112056732
16.600000381469727 16.5 19.37540054321289 19.372400283813477 4.634500026702881 34.21480178833008 24.325899124145508 0.24199999868869781 4.1020002365112305 2.9700000286102295 0.6259999871253967 1.3550000190734863 0.3070000112056732
17.100000381469727 17.0 19.376399993896484 19.373300552368164 4.6346001625061035 34.214900970458984 24.3257999420166 0.20600000023841858 4.099999904632568 2.759999990463257 0.593999981880188 1.350000023841858 0.3059999942779541
17.600000381469727 17.5 19.375499725341797 19.372299194335938 4.634500026702881 34.21500015258789 24.326099395751953 0.20200000703334808 4.1020002365112305 2.5399999618530273 0.5590000152587891 1.340000033378601 0.34299999475479126
18.100000381469727 18.0 19.375600814819336 19.372400283813477 4.634500026702881 34.214298248291016 24.325599670410156 0.1469999998807907 4.10099983215332 2.3299999237060547 0.5199999809265137 1.3350000381469727 0.3499999940395355

In total, there are 32 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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