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Dataset Title:  "LATEX CTD - d94h035.nc - 29.04N, 92.0W - 1994-04-27" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h035)
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: 24)
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   24 options
    depth ?  =  m   24 options
    temperature ?  =  degree_C   24 options
    potentialTemperature ?  =  degree_C   24 options
    conductivity ?  =  Siemens per meter   23 options
    salinity ?  =  PSU   24 options
    sigmat ?  =  kg m-3   24 options
    descentRate ?  =  meters per second   24 options
    transmission ?  =  percent   23 options
    par ?  =  umol m-2 s-1   24 options
    parv ?  =  volts   24 options
    fluorescence ?  =  volts   24 options
    backscattering ?  =  volts   23 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 23.47610092163086 23.47559928894043 4.8649001121521 32.84579849243164 22.165800094604492 0.3970000147819519 2.7170000076293945 102.0 2.3399999141693115 4.151000022888184 0.3050000071525574
3.0 3.0 23.487699508666992 23.48699951171875 4.866000175476074 32.84590148925781 22.162500381469727 0.4449999928474426 2.6500000953674316 95.4000015258789 2.311000108718872 4.552999973297119 0.3230000138282776
3.5 3.5 23.497699737548828 23.49690055847168 4.864799976348877 32.82929992675781 22.1471004486084 0.5360000133514404 2.63100004196167 68.0 2.1640000343322754 4.435999870300293 0.31700000166893005
4.0 4.0 23.49970054626465 23.498899459838867 4.866199970245361 32.8380012512207 22.153099060058594 0.6019999980926514 2.694000005722046 48.599998474121094 2.0179998874664307 4.514999866485596 0.3109999895095825
4.5 4.5 23.496400833129883 23.495399475097656 4.866799831390381 32.84450149536133 22.159099578857422 0.5640000104904175 2.6740000247955322 34.400001525878906 1.8680000305175781 4.452000141143799 0.32499998807907104
5.0 5.0 23.492300033569336 23.491300582885742 4.867300033569336 32.851600646972656 22.165599822998047 0.8389999866485596 2.6570000648498535 23.100000381469727 1.6950000524520874 4.2789998054504395 0.3149999976158142
5.5 5.5 23.490999221801758 23.48979949951172 4.867800235748291 32.85649871826172 22.1697998046875 0.8019999861717224 2.6559998989105225 16.799999237060547 1.5570000410079956 4.36899995803833 0.335999995470047
6.0 6.0 23.48259925842285 23.481300354003906 4.867700099945068 32.861698150634766 22.17609977722168 0.5540000200271606 2.6740000247955322 14.0 1.4789999723434448 4.316999912261963 0.3230000138282776
6.5 6.5 23.46430015563965 23.462900161743164 4.867700099945068 32.875099182128906 22.191600799560547 0.29600000381469727 2.6710000038146973 12.300000190734863 1.4199999570846558 4.15500020980835 0.3370000123977661
7.0 7.0 23.420700073242188 23.419200897216797 4.867000102996826 32.902099609375 22.224700927734375 0.2849999964237213 2.674999952316284 7.579999923706055 1.2109999656677246 4.198999881744385 0.38199999928474426
7.599999904632568 7.5 23.369199752807617 23.367599487304688 4.865799903869629 32.93090057373047 22.26129913330078 0.43799999356269836 2.6649999618530273 7.119999885559082 1.184000015258789 4.466000080108643 0.3610000014305115
8.100000381469727 8.0 23.31060028076172 23.30900001525879 4.8628997802734375 32.95220184326172 22.294300079345703 0.7020000219345093 2.631999969482422 5.550000190734863 1.0759999752044678 4.520999908447266 0.3569999933242798
8.600000381469727 8.5 23.243600845336914 23.24180030822754 4.8582000732421875 32.96670150756836 22.324600219726562 0.7990000247955322 2.634000062942505 4.119999885559082 0.9470000267028809 4.046999931335449 0.37700000405311584
9.100000381469727 9.0 23.18600082397461 23.184099197387695 4.854800224304199 32.9833984375 22.353900909423828 0.7480000257492065 2.6070001125335693 3.130000114440918 0.8270000219345093 3.867000102996826 0.40299999713897705
9.600000381469727 9.5 23.120899200439453 23.118999481201172 4.853499889373779 33.02220153808594 22.401899337768555 0.49399998784065247 2.5769999027252197 2.4700000286102295 0.7239999771118164 3.384000062942505 0.4440000057220459
10.100000381469727 10.0 23.055500030517578 23.05340003967285 4.852200031280518 33.06159973144531 22.450599670410156 0.2800000011920929 2.5280001163482666 1.9700000286102295 0.625 3.2019999027252197 0.47200000286102295
10.600000381469727 10.5 22.967199325561523 22.965099334716797 4.849800109863281 33.109500885009766 22.512100219726562 0.40400001406669617 2.4670000076293945 1.6399999856948853 0.5460000038146973 2.359999895095825 0.4880000054836273
11.100000381469727 11.0 22.912799835205078 22.910499572753906 4.849100112915039 33.14459991455078 22.55419921875 0.460999995470047 2.4619998931884766 1.309999942779541 0.44999998807907104 1.965999960899353 0.4740000069141388
11.600000381469727 11.5 22.898700714111328 22.896400451660156 4.851399898529053 33.17290115356445 22.579700469970703 0.3869999945163727 2.4549999237060547 1.0399999618530273 0.3479999899864197 1.6660000085830688 0.49399998784065247
12.100000381469727 12.0 22.902000427246094 22.899599075317383 4.854899883270264 33.197200775146484 22.59709930419922 0.7390000224113464 2.424999952316284 0.8799999952316284 0.27399998903274536 1.3940000534057617 0.5239999890327454
12.600000381469727 12.5 22.942699432373047 22.940099716186523 4.862800121307373 33.226898193359375 22.60810089111328 0.734000027179718 2.385999917984009 0.6899999976158142 0.17299999296665192 1.215999960899353 0.5899999737739563
13.100000381469727 13.0 22.951499938964844 22.94879913330078 4.865300178527832 33.239200592041016 22.614999771118164 0.4690000116825104 2.2300000190734863 0.5400000214576721 0.06599999964237213 1.0190000534057617 0.6389999985694885
13.600000381469727 13.5 22.94540023803711 22.94260025024414 4.8668999671936035 33.25579833984375 22.62929916381836 0.414000004529953 2.0450000762939453 0.49000000953674316 0.01899999938905239 0.8619999885559082 0.7020000219345093
14.100000381469727 14.0 22.92569923400879 22.92289924621582 4.867400169372559 33.274200439453125 22.64889907836914 0.375 1.8350000381469727 0.4699999988079071 -9.0 0.9079999923706055 0.7929999828338623

In total, there are 24 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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