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Dataset Title:  "NEGOM CTD - n7l10s01.nc - 28.61N, 83.07W - 1999-11-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l10s01)
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: 16)
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   16 options
    depth ?  =  m   16 options
    temperature ?  =  degree_C   16 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   16 options
    descentRate ?  =  meters per second   15 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   16 options
    parv ?  =  volts   16 options
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   14 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
1.5 1.5 20.5137996673584 20.513500213623047 4.917099952697754 35.59230041503906 25.07670021057129 0.09600000083446503 4.175000190734863 1947.0 3.61299991607666 0.9919999837875366 -9.0
2.0 2.0 20.49090003967285 20.49049949645996 4.914899826049805 35.59379959106445 25.083999633789062 0.1770000010728836 4.177999973297119 1228.0 3.38100004196167 1.055999994277954 0.06700000166893005
2.5 2.5 20.475799560546875 20.475299835205078 4.913599967956543 35.595401763916016 25.08930015563965 0.18400000035762787 4.178999900817871 1018.0 3.305000066757202 1.0499999523162842 0.17100000381469727
3.0 3.0 20.462799072265625 20.462200164794922 4.912799835205078 35.59960174560547 25.09600067138672 0.16300000250339508 4.183000087738037 1000.0 3.2960000038146973 1.0429999828338623 0.210999995470047
3.5 3.5 20.457300186157227 20.456600189208984 4.912399768829346 35.601200103759766 25.098800659179688 0.17499999701976776 4.188000202178955 878.9000244140625 3.242000102996826 1.0429999828338623 0.210999995470047
4.0 4.0 20.445199966430664 20.444400787353516 4.911399841308594 35.60279846191406 25.103200912475586 0.17299999296665192 4.179999828338623 757.0 3.1760001182556152 1.0829999446868896 0.21799999475479126
4.5 4.5 20.43440055847168 20.433500289916992 4.910299777984619 35.60279846191406 25.106199264526367 0.1679999977350235 4.178999900817871 701.7000122070312 3.1440000534057617 1.1239999532699585 0.22499999403953552
5.0 5.0 20.416900634765625 20.416000366210938 4.908699989318848 35.60419845581055 25.111900329589844 0.18199999630451202 4.169000148773193 717.0999755859375 3.1519999504089355 1.1080000400543213 0.20399999618530273
5.5 5.5 20.4060001373291 20.405000686645508 4.90749979019165 35.60390090942383 25.114700317382812 0.16099999845027924 4.165999889373779 662.5 3.11899995803833 1.1349999904632568 0.2329999953508377
6.0 6.0 20.387100219726562 20.38599967956543 4.905300140380859 35.601600646972656 25.118000030517578 0.1850000023841858 4.163000106811523 627.0 3.0950000286102295 1.1649999618530273 0.2409999966621399
6.5 6.5 20.37779998779297 20.37660026550293 4.904200077056885 35.60029983520508 25.11949920654297 0.16500000655651093 4.1620001792907715 604.5 3.0789999961853027 1.1920000314712524 0.24300000071525574
7.0 7.0 20.36829948425293 20.367000579833984 4.90310001373291 35.598899841308594 25.121000289916992 0.17399999499320984 4.164000034332275 516.2000122070312 3.01200008392334 1.187000036239624 0.23600000143051147
7.599999904632568 7.5 20.361400604248047 20.360000610351562 4.902299880981445 35.5984001159668 25.122499465942383 0.18000000715255737 4.159999847412109 464.20001220703125 2.9649999141693115 1.1770000457763672 0.23000000417232513
8.100000381469727 8.0 20.358400344848633 20.35689926147461 4.9019999504089355 35.59809875488281 25.12310028076172 0.16099999845027924 4.163000106811523 434.0 2.936000108718872 1.1690000295639038 0.21799999475479126
8.600000381469727 8.5 20.35300064086914 20.35140037536621 4.901599884033203 35.59880065917969 25.125099182128906 0.1860000044107437 4.1620001792907715 400.1000061035156 2.9010000228881836 1.2000000476837158 0.2199999988079071
9.100000381469727 9.0 20.351900100708008 20.350200653076172 4.901500225067139 35.5984992980957 25.125200271606445 0.1469999998807907 4.160999774932861 368.20001220703125 2.864000082015991 1.190000057220459 0.22100000083446503

In total, there are 16 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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