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Dataset Title:  "NEGOM CTD - n8l05s01.nc - 30.36N, 86.58W - 2000-04-22" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l05s01)
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   29 options
    potentialTemperature ?  =  degree_C   29 options
    conductivity ?  =  Siemens per meter   20 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   22 options
    descentRate ?  =  meters per second   31 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   32 options
    parv ?  =  volts   32 options
    fluorescence ?  =  volts   28 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 20.967199325561523 20.966800689697266 5.017300128936768 36.02170181274414 25.281099319458008 0.14900000393390656 4.2220001220703125 1624.0 2.816999912261963 1.027999997138977 0.16099999845027924
2.5 2.5 20.96310043334961 20.962600708007812 5.016900062561035 36.02180099487305 25.28230094909668 0.22200000286102295 4.22599983215332 1517.0 2.7790000438690186 0.9750000238418579 0.15800000727176666
3.0 3.0 20.911399841308594 20.91080093383789 5.011199951171875 36.019100189208984 25.294300079345703 0.23399999737739563 4.2179999351501465 1340.0 2.7279999256134033 0.9990000128746033 0.16300000250339508
3.5 3.5 20.891799926757812 20.89109992980957 5.008900165557861 36.01729965209961 25.29829978942871 0.23000000417232513 4.218999862670898 1212.0 2.687000036239624 1.027999997138977 0.16699999570846558
4.0 4.0 20.883399963378906 20.882699966430664 5.007999897003174 36.016700744628906 25.300199508666992 0.29100000858306885 4.218999862670898 1036.0 2.621000051498413 1.0679999589920044 0.1599999964237213
4.5 4.5 20.876399993896484 20.875600814819336 5.007199764251709 36.016300201416016 25.301799774169922 0.2849999964237213 4.2210001945495605 1011.0 2.6019999980926514 1.0360000133514404 0.16099999845027924
5.0 5.0 20.87179946899414 20.870800018310547 5.006700038909912 36.01599884033203 25.302900314331055 0.21899999678134918 4.21999979019165 1006.0 2.6070001125335693 1.0099999904632568 0.16200000047683716
5.5 5.5 20.863500595092773 20.86240005493164 5.005799770355225 36.01499938964844 25.304399490356445 0.2879999876022339 4.216000080108643 897.9000244140625 2.552000045776367 1.031999945640564 0.1720000058412552
6.0 6.0 20.850099563598633 20.849000930786133 5.004300117492676 36.01390075683594 25.307300567626953 0.2849999964237213 4.218999862670898 790.4000244140625 2.503000020980835 1.0729999542236328 0.16899999976158142
6.5 6.5 20.848600387573242 20.847400665283203 5.0040998458862305 36.013999938964844 25.30780029296875 0.21699999272823334 4.2179999351501465 781.0 2.496999979019165 1.093999981880188 0.16899999976158142
7.0 7.0 20.851699829101562 20.850400924682617 5.004499912261963 36.01449966430664 25.307300567626953 0.27799999713897705 4.2230000495910645 731.5 2.4719998836517334 1.1169999837875366 0.16899999976158142
7.599999904632568 7.5 20.855300903320312 20.853900909423828 5.005000114440918 36.01499938964844 25.306699752807617 0.289000004529953 4.216000080108643 663.7999877929688 2.428999900817871 1.0959999561309814 0.17499999701976776
8.100000381469727 8.0 20.847200393676758 20.845600128173828 5.004000186920166 36.01390075683594 25.3080997467041 0.23100000619888306 4.218999862670898 611.2000122070312 2.3910000324249268 1.0729999542236328 0.18000000715255737
8.600000381469727 8.5 20.840999603271484 20.839399337768555 5.003300189971924 36.01340103149414 25.309499740600586 0.25999999046325684 4.21999979019165 577.4000244140625 2.36899995803833 1.1059999465942383 0.17100000381469727
9.100000381469727 9.0 20.840499877929688 20.83880043029785 5.003300189971924 36.01350021362305 25.30970001220703 0.26499998569488525 4.2170000076293945 534.2999877929688 2.3350000381469727 1.1799999475479126 0.17399999499320984
9.600000381469727 9.5 20.839399337768555 20.837499618530273 5.003200054168701 36.01350021362305 25.309999465942383 0.2630000114440918 4.223999977111816 481.5 2.2899999618530273 1.1360000371932983 0.1679999977350235
10.100000381469727 10.0 20.839000701904297 20.836999893188477 5.003200054168701 36.01359939575195 25.310199737548828 0.2460000067949295 4.2179999351501465 461.79998779296875 2.2679998874664307 1.1160000562667847 0.1809999942779541
10.600000381469727 10.5 20.83919906616211 20.837200164794922 5.003300189971924 36.01369857788086 25.310300827026367 0.2590000033378601 4.2210001945495605 457.0 2.265000104904175 1.1119999885559082 0.18000000715255737
11.100000381469727 11.0 20.839799880981445 20.837600708007812 5.003399848937988 36.01380157470703 25.310199737548828 0.25699999928474426 4.216000080108643 381.0 2.188999891281128 1.1349999904632568 0.17800000309944153
11.600000381469727 11.5 20.84309959411621 20.840900421142578 5.003799915313721 36.013999938964844 25.309499740600586 0.2529999911785126 4.2129998207092285 360.20001220703125 2.1640000343322754 1.1660000085830688 0.1589999943971634
12.100000381469727 12.0 20.841899871826172 20.839599609375 5.003699779510498 36.013999938964844 25.309900283813477 0.20200000703334808 4.218999862670898 320.79998779296875 2.11299991607666 1.156000018119812 0.16599999368190765
12.600000381469727 12.5 20.838600158691406 20.836200714111328 5.003300189971924 36.01369857788086 25.31060028076172 0.1979999989271164 4.214000225067139 283.29998779296875 2.059999942779541 1.1080000400543213 0.17000000178813934
13.100000381469727 13.0 20.839000701904297 20.83650016784668 5.003399848937988 36.01390075683594 25.31060028076172 0.19900000095367432 4.2220001220703125 252.60000610351562 2.009999990463257 1.1160000562667847 0.18000000715255737
13.600000381469727 13.5 20.836000442504883 20.83340072631836 5.002999782562256 36.01340103149414 25.311100006103516 0.210999995470047 4.216000080108643 221.6999969482422 1.9539999961853027 1.1690000295639038 0.17599999904632568
14.100000381469727 14.0 20.835399627685547 20.832700729370117 5.002999782562256 36.01340103149414 25.31130027770996 0.19599999487400055 4.216000080108643 208.6999969482422 1.9270000457763672 1.1649999618530273 0.17100000381469727
14.600000381469727 14.5 20.835599899291992 20.832799911499023 5.0030999183654785 36.01350021362305 25.31130027770996 0.20999999344348907 4.210999965667725 189.6999969482422 1.8869999647140503 1.1419999599456787 0.17499999701976776
15.100000381469727 15.0 20.835599899291992 20.832700729370117 5.0030999183654785 36.01359939575195 25.311399459838867 0.20499999821186066 4.2129998207092285 170.89999389648438 1.840999960899353 1.156000018119812 0.17599999904632568
15.600000381469727 15.5 20.835899353027344 20.83289909362793 5.0030999183654785 36.01350021362305 25.31130027770996 0.1899999976158142 4.209000110626221 160.0 1.812999963760376 1.1699999570846558 0.1770000010728836
16.100000381469727 16.0 20.835899353027344 20.832799911499023 5.003200054168701 36.01350021362305 25.311399459838867 0.2290000021457672 4.214000225067139 142.1999969482422 1.7619999647140503 1.1640000343322754 0.19900000095367432
16.600000381469727 16.5 20.83609962463379 20.83300018310547 5.003200054168701 36.01369857788086 25.311399459838867 0.17499999701976776 4.205999851226807 130.39999389648438 1.7239999771118164 1.1679999828338623 0.19099999964237213
17.100000381469727 17.0 20.836299896240234 20.83300018310547 5.003300189971924 36.01369857788086 25.311399459838867 0.2240000069141388 4.201000213623047 122.19999694824219 1.6959999799728394 1.1779999732971191 0.18299999833106995
17.600000381469727 17.5 20.836999893188477 20.83370018005371 5.003399848937988 36.01380157470703 25.31130027770996 0.11599999666213989 4.21999979019165 116.0 1.6740000247955322 1.180999994277954 0.1889999955892563

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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