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Dataset Title:  "LATEX CTD - d93g151.nc - 28.8N, 94.69W - 1993-11-15" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g151)
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: 28)
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   28 options
    depth ?  =  m   28 options
    temperature ?  =  degree_C   28 options
    potentialTemperature ?  =  degree_C   28 options
    conductivity ?  =  Siemens per meter   22 options
    salinity ?  =  PSU   23 options
    sigmat ?  =  kg m-3   24 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   22 options
    par ?  =  umol m-2 s-1   3 options
    parv ?  =  volts   4 options
    fluorescence ?  =  volts   20 options
    backscattering ?  =  volts   1 option: -9.0

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 21.635000228881836 21.63479995727539 4.848100185394287 34.12879943847656 23.658700942993164 0.33799999952316284 3.933000087738037 0.6100000143051147 0.07400000095367432 1.6629999876022339 -9.0
3.5 3.5 21.63610076904297 21.635799407958984 4.848199844360352 34.12839889526367 23.658199310302734 0.6209999918937683 3.927000045776367 0.5199999809265137 0.003000000026077032 1.6629999876022339 -9.0
4.0 4.0 21.635099411010742 21.634700775146484 4.848100185394287 34.12810134887695 23.658199310302734 0.48100000619888306 3.940000057220459 0.5199999809265137 0.0010000000474974513 1.6710000038146973 -9.0
4.5 4.5 21.633899688720703 21.633499145507812 4.8480000495910645 34.12799835205078 23.65850067138672 0.675000011920929 3.944000005722046 0.5099999904632568 0.0 1.6610000133514404 -9.0
5.0 5.0 21.63319969177246 21.632600784301758 4.8480000495910645 34.128299713134766 23.659000396728516 0.9660000205039978 3.940000057220459 0.5099999904632568 0.0 1.659000039100647 -9.0
5.5 5.5 21.633499145507812 21.63279914855957 4.8480000495910645 34.128299713134766 23.658899307250977 1.062999963760376 3.944000005722046 0.5099999904632568 0.0 1.656000018119812 -9.0
6.0 6.0 21.63409996032715 21.63330078125 4.848100185394287 34.12810134887695 23.658599853515625 0.9869999885559082 3.943000078201294 0.5099999904632568 0.0 1.656000018119812 -9.0
6.5 6.5 21.635400772094727 21.63450050354004 4.848199844360352 34.12799835205078 23.658199310302734 0.6200000047683716 3.946000099182129 0.5099999904632568 0.0 1.659000039100647 -9.0
7.0 7.0 21.636499404907227 21.635499954223633 4.848400115966797 34.12820053100586 23.658100128173828 0.5989999771118164 3.944999933242798 0.5099999904632568 0.0 1.6770000457763672 -9.0
7.5 7.5 21.63680076599121 21.635700225830078 4.848499774932861 34.128299713134766 23.658100128173828 0.8130000233650208 3.944999933242798 0.5099999904632568 0.0 1.6720000505447388 -9.0
8.0 8.0 21.637800216674805 21.636699676513672 4.848599910736084 34.12839889526367 23.657899856567383 0.8149999976158142 3.940999984741211 0.5099999904632568 0.0 1.6720000505447388 -9.0
8.5 8.5 21.638200759887695 21.636999130249023 4.848700046539307 34.128700256347656 23.658100128173828 0.652999997138977 3.944999933242798 0.5099999904632568 0.0 1.690000057220459 -9.0
9.0 9.0 21.6427001953125 21.641300201416016 4.8491997718811035 34.12929916381836 23.657400131225586 0.367000013589859 3.937999963760376 0.5099999904632568 0.0 1.7120000123977661 -9.0
9.600000381469727 9.5 21.642799377441406 21.641399383544922 4.8491997718811035 34.12900161743164 23.657100677490234 0.3569999933242798 3.947999954223633 0.5099999904632568 0.0 1.6990000009536743 -9.0
10.100000381469727 10.0 21.639799118041992 21.638200759887695 4.848800182342529 34.127498626708984 23.65679931640625 0.5350000262260437 3.943000078201294 0.5099999904632568 0.0 1.694000005722046 -9.0
10.600000381469727 10.5 21.640899658203125 21.63920021057129 4.849100112915039 34.129398345947266 23.658000946044922 0.5799999833106995 3.940000057220459 0.5099999904632568 0.0 1.6979999542236328 -9.0
11.100000381469727 11.0 21.64550018310547 21.643800735473633 4.850500106811523 34.13600158691406 23.661699295043945 0.44200000166893005 3.936000108718872 0.5099999904632568 0.0 1.6950000524520874 -9.0
11.600000381469727 11.5 21.659500122070312 21.657699584960938 4.855100154876709 34.161399841308594 23.677200317382812 0.3889999985694885 3.924999952316284 0.5099999904632568 0.0 1.7029999494552612 -9.0
12.100000381469727 12.0 21.671300888061523 21.66939926147461 4.858500003814697 34.1786994934082 23.68709945678711 0.5699999928474426 3.881999969482422 0.5099999904632568 0.0 1.7139999866485596 -9.0
12.600000381469727 12.5 21.677499771118164 21.675500869750977 4.860199928283691 34.187400817871094 23.692100524902344 0.593999981880188 3.8519999980926514 0.5099999904632568 0.0 1.7330000400543213 -9.0
13.100000381469727 13.0 21.678800582885742 21.676700592041016 4.860599994659424 34.18939971923828 23.693199157714844 0.42800000309944153 3.8420000076293945 0.5099999904632568 0.0 1.7330000400543213 -9.0
13.600000381469727 13.5 21.68079948425293 21.678499221801758 4.861800193786621 34.1963996887207 23.69809913635254 0.3370000123977661 3.803999900817871 0.5099999904632568 0.0 1.718000054359436 -9.0
14.100000381469727 14.0 21.694000244140625 21.691600799560547 4.867400169372559 34.23040008544922 23.720300674438477 0.5 3.690000057220459 0.5099999904632568 0.0 1.7120000123977661 -9.0
14.600000381469727 14.5 21.69860076904297 21.69610023498535 4.869200229644775 34.2411003112793 23.72719955444336 0.6320000290870667 3.6679999828338623 0.5099999904632568 0.0 1.718000054359436 -9.0
15.100000381469727 15.0 21.708999633789062 21.706499099731445 4.8734002113342285 34.265201568603516 23.742599487304688 0.6520000100135803 3.438999891281128 0.5099999904632568 0.0 1.722000002861023 -9.0
15.600000381469727 15.5 21.71940040588379 21.716800689697266 4.876800060272217 34.28369903564453 23.7539005279541 0.5170000195503235 3.2860000133514404 0.5099999904632568 0.0 1.7309999465942383 -9.0
16.100000381469727 16.0 21.722200393676758 21.71940040588379 4.878200054168701 34.29209899902344 23.75950050354004 0.29100000858306885 3.0439999103546143 0.5099999904632568 0.0 1.7209999561309814 -9.0
16.600000381469727 16.5 21.73710060119629 21.73430061340332 4.883699893951416 34.32389831542969 23.779600143432617 0.453000009059906 3.0889999866485596 0.5099999904632568 0.0 1.7139999866485596 -9.0

In total, there are 28 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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