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Dataset Title:  "LATEX CTD - d93f071.nc - 29.37N, 93.0W - 1993-07-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93f071)
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: 27)
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   27 options
    depth ?  =  m   27 options
    temperature ?  =  degree_C   27 options
    potentialTemperature ?  =  degree_C   27 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   27 options
    sigmat ?  =  kg m-3   27 options
    descentRate ?  =  meters per second   27 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   9 options
    parv ?  =  volts   9 options
    fluorescence ?  =  volts   26 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
2.0 2.0 30.386999130249023 30.386499404907227 4.587500095367432 26.518800735473633 15.25629997253418 -0.017000000923871994 3.9070000648498535 2.1500000953674316 0.6209999918937683 1.8289999961853027 -9.0
2.5 2.5 30.392799377441406 30.392200469970703 4.60830020904541 26.64900016784668 15.351499557495117 0.3529999852180481 3.8919999599456787 1.690000057220459 0.5170000195503235 1.8259999752044678 -9.0
3.0 3.0 30.394100189208984 30.393299102783203 4.617700099945068 26.708900451660156 15.39579963684082 0.4020000100135803 3.8949999809265137 1.2300000190734863 0.3779999911785126 1.8170000314712524 -9.0
3.5 3.5 30.393800735473633 30.392900466918945 4.620699882507324 26.728200912475586 15.410400390625 0.492000013589859 3.8959999084472656 1.0700000524520874 0.3179999887943268 1.8250000476837158 -9.0
4.0 4.0 30.449899673461914 30.44890022277832 4.6244001388549805 26.72170066833496 15.386699676513672 0.5059999823570251 3.871999979019165 0.8600000143051147 0.22200000286102295 1.8320000171661377 -9.0
4.5 4.5 30.78890037536621 30.787799835205078 4.6442999839782715 26.664899826049805 15.230299949645996 0.4269999861717224 3.8459999561309814 0.75 0.16200000047683716 1.8680000305175781 -9.0
5.0 5.0 30.883800506591797 30.88249969482422 4.706099987030029 27.009199142456055 15.454899787902832 0.39100000262260437 3.8420000076293945 0.6100000143051147 0.07400000095367432 1.9119999408721924 -9.0
5.5 5.5 30.828899383544922 30.827499389648438 4.758600234985352 27.375699996948242 15.746800422668457 0.45899999141693115 3.9189999103546143 0.5199999809265137 0.003000000026077032 1.9210000038146973 -9.0
6.0 6.0 30.625600814819336 30.624099731445312 4.810299873352051 27.822999954223633 16.14929962158203 0.5210000276565552 3.997999906539917 0.5099999904632568 0.0 1.9259999990463257 -9.0
6.5 6.5 30.438899993896484 30.437299728393555 4.859399795532227 28.247400283813477 16.52899932861328 0.4869999885559082 4.052000045776367 0.5099999904632568 0.0 1.8960000276565552 -9.0
7.0 7.0 30.262100219726562 30.260299682617188 4.882500171661377 28.49970054626465 16.777000427246094 0.3630000054836273 4.035999774932861 0.5099999904632568 0.0 1.934000015258789 -9.0
7.599999904632568 7.5 30.077299118041992 30.07550048828125 4.889200210571289 28.651899337768555 16.952600479125977 0.4169999957084656 4.034999847412109 0.5099999904632568 0.0 1.9859999418258667 -9.0
8.100000381469727 8.0 29.853599548339844 29.851699829101562 4.884300231933594 28.75119972229004 17.101600646972656 0.5360000133514404 4.072999954223633 0.5099999904632568 0.0 1.965999960899353 -9.0
8.600000381469727 8.5 29.69969940185547 29.697599411010742 4.877200126647949 28.795799255371094 17.186100006103516 0.5149999856948853 4.107999801635742 0.5099999904632568 0.0 1.9079999923706055 -9.0
9.100000381469727 9.0 29.648099899291992 29.64590072631836 4.877299785614014 28.82699966430664 17.226600646972656 0.3970000147819519 4.093999862670898 0.5099999904632568 0.0 1.8609999418258667 -9.0
9.600000381469727 9.5 29.560400009155273 29.5580997467041 4.881199836730957 28.905099868774414 17.314199447631836 0.3880000114440918 4.150000095367432 0.5099999904632568 0.0 1.7769999504089355 -9.0
10.100000381469727 10.0 29.416799545288086 29.414400100708008 4.883299827575684 29.00469970703125 17.436199188232422 0.4729999899864197 4.211999893188477 0.5099999904632568 0.0 1.7549999952316284 -9.0
10.600000381469727 10.5 29.21540069580078 29.212900161743164 4.887499809265137 29.154600143432617 17.614700317382812 0.4320000112056732 4.122000217437744 0.5099999904632568 0.0 1.8969999551773071 -9.0
11.100000381469727 11.0 28.96769905090332 28.96500015258789 4.91379976272583 29.480899810791016 17.94029998779297 0.20100000500679016 3.819999933242798 0.5099999904632568 0.0 2.066999912261963 -9.0
11.600000381469727 11.5 28.810100555419922 28.80739974975586 4.921999931335449 29.633399963378906 18.106000900268555 0.44699999690055847 3.809000015258789 0.5099999904632568 0.0 1.9919999837875366 -9.0
12.100000381469727 12.0 28.686399459838867 28.683500289916992 4.939599990844727 29.828899383544922 18.292800903320312 0.4779999852180481 3.7869999408721924 0.5099999904632568 0.0 1.9110000133514404 -9.0
12.600000381469727 12.5 28.59980010986328 28.596799850463867 4.976600170135498 30.134000778198242 18.54960060119629 0.44200000166893005 3.7769999504089355 0.5099999904632568 0.0 1.8209999799728394 -9.0
13.100000381469727 13.0 28.420900344848633 28.417800903320312 5.026899814605713 30.590099334716797 18.94969940185547 0.335999995470047 3.7790000438690186 0.5099999904632568 0.0 1.7519999742507935 -9.0
13.600000381469727 13.5 28.124399185180664 28.121200561523438 5.069200038909912 31.071800231933594 19.40690040588379 0.4390000104904175 3.677999973297119 0.5099999904632568 0.0 1.7569999694824219 -9.0
14.100000381469727 14.0 27.897600173950195 27.89430046081543 5.0904998779296875 31.367900848388672 19.702199935913086 0.550000011920929 3.4000000953674316 0.5099999904632568 0.0 1.7580000162124634 -9.0
14.600000381469727 14.5 27.864599227905273 27.8612003326416 5.109099864959717 31.518600463867188 19.826000213623047 0.4659999907016754 3.1489999294281006 0.5099999904632568 0.0 1.7569999694824219 -9.0
15.100000381469727 15.0 27.721799850463867 27.718299865722656 5.157800197601318 31.952800750732422 20.197999954223633 0.19200000166893005 2.7809998989105225 0.5099999904632568 0.0 1.7640000581741333 -9.0

In total, there are 27 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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