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Dataset Title:  "LATEX CTD - d93g086.nc - 28.94N, 92.0W - 1993-11-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g086)
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: 38)
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   38 options
    depth ?  =  m   38 options
    temperature ?  =  degree_C   36 options
    potentialTemperature ?  =  degree_C   31 options
    conductivity ?  =  Siemens per meter   23 options
    salinity ?  =  PSU   22 options
    sigmat ?  =  kg m-3   20 options
    descentRate ?  =  meters per second   37 options
    transmission ?  =  percent   29 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   34 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
2.5 2.5 20.943300247192383 20.943199157714844 4.592899799346924 32.64459991455078 22.718399047851562 0.36000001430511475 2.0350000858306885 1.0700000524520874 0.3160000145435333 1.7400000095367432 -9.0
3.0 3.0 20.946500778198242 20.946300506591797 4.593200206756592 32.64419937133789 22.717300415039062 0.6869999766349792 2.0460000038146973 0.7900000214576721 0.1860000044107437 1.7389999628067017 -9.0
3.5 3.5 20.94700050354004 20.946699142456055 4.593200206756592 32.64390182495117 22.716999053955078 0.550000011920929 2.058000087738037 0.5699999928474426 0.04800000041723251 1.7510000467300415 -9.0
4.0 4.0 20.94610023498535 20.94580078125 4.593200206756592 32.644100189208984 22.717300415039062 0.3580000102519989 2.0360000133514404 0.5199999809265137 0.0020000000949949026 1.7640000581741333 -9.0
4.5 4.5 20.949600219726562 20.949100494384766 4.593500137329102 32.64350128173828 22.715999603271484 0.5830000042915344 2.0239999294281006 0.5099999904632568 0.0 1.7699999809265137 -9.0
5.0 5.0 20.95210075378418 20.951499938964844 4.593800067901611 32.643798828125 22.715599060058594 0.6610000133514404 1.9780000448226929 0.5099999904632568 0.0 1.7549999952316284 -9.0
5.5 5.5 20.95009994506836 20.949499130249023 4.593599796295166 32.64419937133789 22.716400146484375 0.5270000100135803 1.99399995803833 0.5099999904632568 0.0 1.781000018119812 -9.0
6.0 6.0 20.948299407958984 20.947500228881836 4.593400001525879 32.64390182495117 22.716699600219727 0.38100001215934753 2.0290000438690186 0.5099999904632568 0.0 1.7970000505447388 -9.0
6.5 6.5 20.946699142456055 20.945899963378906 4.593299865722656 32.64400100708008 22.717199325561523 0.4020000100135803 2.055000066757202 0.5099999904632568 0.0 1.7860000133514404 -9.0
7.0 7.0 20.946300506591797 20.94529914855957 4.593299865722656 32.644100189208984 22.717500686645508 0.367000013589859 2.0789999961853027 0.5099999904632568 0.0 1.7649999856948853 -9.0
7.5 7.5 20.947799682617188 20.946800231933594 4.593500137329102 32.64400100708008 22.716999053955078 0.5590000152587891 2.0850000381469727 0.5099999904632568 0.0 1.7660000324249268 -9.0
8.0 8.0 20.951900482177734 20.950700759887695 4.593999862670898 32.64500045776367 22.716699600219727 0.6259999871253967 2.0350000858306885 0.5099999904632568 0.0 1.7829999923706055 -9.0
8.5 8.5 20.94930076599121 20.94809913635254 4.593699932098389 32.644100189208984 22.716699600219727 0.4860000014305115 2.0480000972747803 0.5099999904632568 0.0 1.781999945640564 -9.0
9.0 9.0 20.95050048828125 20.949199676513672 4.593900203704834 32.644500732421875 22.716699600219727 0.3330000042915344 2.069000005722046 0.5099999904632568 0.0 1.8009999990463257 -9.0
9.600000381469727 9.5 20.95439910888672 20.952999114990234 4.594399929046631 32.645599365234375 22.71660041809082 0.48100000619888306 2.0929999351501465 0.5099999904632568 0.0 1.7990000247955322 -9.0
10.100000381469727 10.0 20.95199966430664 20.95050048828125 4.594200134277344 32.645599365234375 22.717300415039062 0.5920000076293945 2.059000015258789 0.5099999904632568 0.0 1.7960000038146973 -9.0
10.600000381469727 10.5 20.95870018005371 20.95709991455078 4.59499979019165 32.64670181274414 22.716299057006836 0.5519999861717224 2.0480000972747803 0.5099999904632568 0.0 1.8020000457763672 -9.0
11.100000381469727 11.0 20.959999084472656 20.95829963684082 4.595300197601318 32.64789962768555 22.716899871826172 0.37700000405311584 2.0759999752044678 0.5099999904632568 0.0 1.809999942779541 -9.0
11.600000381469727 11.5 20.960399627685547 20.958599090576172 4.595300197601318 32.647701263427734 22.716699600219727 0.4259999990463257 2.0829999446868896 0.5099999904632568 0.0 1.8370000123977661 -9.0
12.100000381469727 12.0 20.960599899291992 20.95870018005371 4.595399856567383 32.64799880981445 22.716899871826172 0.5009999871253967 2.072000026702881 0.5099999904632568 0.0 1.8370000123977661 -9.0
12.600000381469727 12.5 20.958999633789062 20.95709991455078 4.595200061798096 32.64759826660156 22.716999053955078 0.37700000405311584 2.069000005722046 0.5099999904632568 0.0 1.8289999961853027 -9.0
13.100000381469727 13.0 20.95509910583496 20.952999114990234 4.594799995422363 32.64699935913086 22.717599868774414 0.4059999883174896 2.0899999141693115 0.5099999904632568 0.0 1.8259999752044678 -9.0
13.600000381469727 13.5 20.95560073852539 20.953399658203125 4.594900131225586 32.64720153808594 22.71769905090332 0.5479999780654907 2.0759999752044678 0.5099999904632568 0.0 1.8350000381469727 -9.0
14.100000381469727 14.0 20.956600189208984 20.95439910888672 4.59499979019165 32.64720153808594 22.71739959716797 0.593999981880188 2.065000057220459 0.5099999904632568 0.0 1.8270000219345093 -9.0
14.600000381469727 14.5 20.959299087524414 20.957000732421875 4.595300197601318 32.64720153808594 22.716800689697266 0.5090000033378601 2.056999921798706 0.5099999904632568 0.0 1.8240000009536743 -9.0
15.100000381469727 15.0 20.95800018310547 20.95549964904785 4.595200061798096 32.647499084472656 22.717300415039062 0.28200000524520874 2.0950000286102295 0.5099999904632568 0.0 1.8389999866485596 -9.0
15.600000381469727 15.5 20.95680046081543 20.954299926757812 4.595099925994873 32.647300720214844 22.717500686645508 0.44699999690055847 2.0999999046325684 0.5099999904632568 0.0 1.8220000267028809 -9.0
16.100000381469727 16.0 20.955900192260742 20.95319938659668 4.59499979019165 32.647300720214844 22.71780014038086 0.6800000071525574 2.0360000133514404 0.5099999904632568 0.0 1.8170000314712524 -9.0
16.600000381469727 16.5 20.958200454711914 20.95549964904785 4.595300197601318 32.64720153808594 22.717100143432617 0.7059999704360962 1.996000051498413 0.5099999904632568 0.0 1.815000057220459 -9.0
17.100000381469727 17.0 20.96139907836914 20.958599090576172 4.595600128173828 32.64759826660156 22.71660041809082 0.5059999823570251 2.0160000324249268 0.5099999904632568 0.0 1.8380000591278076 -9.0
17.600000381469727 17.5 20.96139907836914 20.95840072631836 4.595600128173828 32.64739990234375 22.71649932861328 0.3720000088214874 2.0490000247955322 0.5099999904632568 0.0 1.8389999866485596 -9.0
18.100000381469727 18.0 20.96150016784668 20.958499908447266 4.595699787139893 32.647701263427734 22.716699600219727 0.5730000138282776 2.0829999446868896 0.5099999904632568 0.0 1.8259999752044678 -9.0
18.600000381469727 18.5 20.962200164794922 20.958999633789062 4.595699787139893 32.647300720214844 22.716299057006836 0.6759999990463257 1.9930000305175781 0.5099999904632568 0.0 1.8300000429153442 -9.0
19.100000381469727 19.0 20.962200164794922 20.958999633789062 4.595799922943115 32.647300720214844 22.716299057006836 0.578000009059906 2.006999969482422 0.5099999904632568 0.0 1.8339999914169312 -9.0
19.600000381469727 19.5 20.962600708007812 20.959199905395508 4.595799922943115 32.64699935913086 22.715999603271484 0.3409999907016754 2.069000005722046 0.5099999904632568 0.0 1.871000051498413 -9.0
20.100000381469727 20.0 20.962099075317383 20.95870018005371 4.595799922943115 32.647300720214844 22.716299057006836 0.28600001335144043 2.0759999752044678 0.5099999904632568 0.0 1.8669999837875366 -9.0
20.600000381469727 20.5 20.962499618530273 20.958999633789062 4.595799922943115 32.647098541259766 22.716100692749023 0.3799999952316284 2.0759999752044678 0.5099999904632568 0.0 1.8459999561309814 -9.0
21.100000381469727 21.0 20.963199615478516 20.9596004486084 4.595900058746338 32.64659881591797 22.715599060058594 0.2709999978542328 2.062999963760376 0.5099999904632568 0.0 1.8350000381469727 -9.0

In total, there are 38 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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