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Dataset Title:  "LATEX CTD - d94j103.nc - 29.08N, 94.77W - 1994-11-08" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j103)
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   26 options
    transmission ?  =  percent   26 options
    par ?  =  umol m-2 s-1   27 options
    parv ?  =  volts   27 options
    fluorescence ?  =  volts   25 options
    backscattering ?  =  volts   25 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
2.0 2.0 23.460399627685547 23.459999084472656 4.217299938201904 28.011199951171875 18.515399932861328 0.2540000081062317 4.011000156402588 925.0 3.1050000190734863 1.6649999618530273 0.061000000685453415
2.5 2.5 23.472900390625 23.472400665283203 4.277699947357178 28.450700759887695 18.843799591064453 0.3930000066757202 3.937000036239624 674.0 2.9679999351501465 1.7009999752044678 0.07999999821186066
3.0 3.0 23.48550033569336 23.484899520874023 4.338200092315674 28.890899658203125 19.17259979248047 0.31700000166893005 3.946000099182129 622.0 2.933000087738037 1.7109999656677246 0.09200000017881393
3.5 3.5 23.49799919128418 23.497299194335938 4.398600101470947 29.331899642944336 19.502099990844727 0.2540000081062317 3.8410000801086426 543.0 2.874000072479248 1.7170000076293945 0.1120000034570694
4.0 4.0 23.511499404907227 23.510700225830078 4.435800075531006 29.599300384521484 19.70039939880371 0.33000001311302185 3.806999921798706 430.0 2.7730000019073486 1.7389999628067017 0.09000000357627869
4.5 4.5 23.527700424194336 23.52680015563965 4.483500003814697 29.943500518798828 19.955799102783203 0.3580000102519989 3.880000114440918 371.0 2.7079999446868896 1.7580000162124634 0.10100000351667404
5.0 5.0 23.667200088500977 23.666200637817383 4.550099849700928 30.345500946044922 20.21969985961914 0.2930000126361847 3.877000093460083 318.0 2.6410000324249268 1.781999945640564 0.12999999523162842
5.5 5.5 23.694799423217773 23.693700790405273 4.558800220489502 30.391300201416016 20.246299743652344 0.2939999997615814 3.7219998836517334 269.0 2.569000005722046 1.8480000495910645 0.15800000727176666
6.0 6.0 23.726600646972656 23.725400924682617 4.617000102996826 30.802799224853516 20.54829978942871 0.34200000762939453 3.803999900817871 244.0 2.5269999504089355 1.8389999866485596 0.11800000071525574
6.5 6.5 23.736600875854492 23.735300064086914 4.629199981689453 30.88719940185547 20.609100341796875 0.328000009059906 3.7980000972747803 189.0 2.4149999618530273 1.784999966621399 0.12300000339746475
7.0 7.0 23.731800079345703 23.73040008544922 4.632599830627441 30.9158992767334 20.632099151611328 0.257999986410141 3.757999897003174 181.0 2.3959999084472656 1.74399995803833 0.14100000262260437
7.599999904632568 7.5 23.715299606323242 23.71380043029785 4.628399848937988 30.89539909362793 20.621400833129883 0.3400000035762787 3.694999933242798 148.0 2.308000087738037 1.7610000371932983 0.12300000339746475
8.100000381469727 8.0 23.69879913330078 23.697200775146484 4.624100208282471 30.874900817871094 20.610700607299805 0.3190000057220459 3.8369998931884766 127.0 2.24399995803833 1.7640000581741333 0.11500000208616257
8.600000381469727 8.5 23.699399948120117 23.697599411010742 4.6203999519348145 30.84630012512207 20.589000701904297 0.2529999911785126 3.7980000972747803 106.0 2.1630001068115234 1.7389999628067017 0.1289999932050705
9.100000381469727 9.0 23.717899322509766 23.715999603271484 4.619800090789795 30.82939910888672 20.570899963378906 0.2720000147819519 3.7130000591278076 91.5999984741211 2.1010000705718994 1.7230000495910645 0.1420000046491623
9.600000381469727 9.5 23.7367000579834 23.734699249267578 4.620699882507324 30.822500228881836 20.560199737548828 0.3160000145435333 3.6410000324249268 76.9000015258789 2.0250000953674316 1.784999966621399 0.1469999998807907
10.100000381469727 10.0 23.739099502563477 23.73699951171875 4.620999813079834 30.82309913635254 20.559900283813477 0.3070000112056732 3.697999954223633 65.9000015258789 1.9579999446868896 1.8300000429153442 0.15700000524520874
10.600000381469727 10.5 23.72170066833496 23.719499588012695 4.621300220489502 30.837200164794922 20.57550048828125 0.2800000011920929 3.8499999046325684 56.099998474121094 1.8880000114440918 1.7879999876022339 0.11699999868869781
11.100000381469727 11.0 23.734500885009766 23.732200622558594 4.632400035858154 30.911100387573242 20.627700805664062 0.2709999978542328 3.7809998989105225 48.400001525878906 1.8240000009536743 1.75 0.11500000208616257
11.600000381469727 11.5 23.804899215698242 23.802499771118164 4.674699783325195 31.177600860595703 20.808900833129883 0.39800000190734863 3.63100004196167 41.900001525878906 1.7610000371932983 1.7430000305175781 0.11999999731779099
12.100000381469727 12.0 23.832799911499023 23.830299377441406 4.688499927520752 31.260400772094727 20.863300323486328 0.38100001215934753 3.071000099182129 35.79999923706055 1.6929999589920044 1.8489999771118164 0.1509999930858612
12.600000381469727 12.5 23.89579963684082 23.893199920654297 4.722099781036377 31.46649932861328 21.000900268554688 0.33799999952316284 2.9059998989105225 31.899999618530273 1.6430000066757202 1.909999966621399 0.20100000500679016
13.100000381469727 13.0 23.904300689697266 23.901599884033203 4.728099822998047 31.50550079345703 21.027799606323242 0.36899998784065247 2.865999937057495 27.799999237060547 1.5829999446868896 1.9040000438690186 0.31299999356269836
13.600000381469727 13.5 23.908599853515625 23.905799865722656 4.730899810791016 31.5231990814209 21.040000915527344 0.2770000100135803 2.869999885559082 24.0 1.5199999809265137 1.9010000228881836 0.3630000054836273
14.100000381469727 14.0 23.91010093688965 23.90719985961914 4.733699798583984 31.542299270629883 21.05389976501465 0.3059999942779541 2.865000009536743 20.299999237060547 1.4459999799728394 1.8880000114440918 0.3330000042915344
14.600000381469727 14.5 23.91029930114746 23.90730094909668 4.734399795532227 31.547800064086914 21.058000564575195 0.25099998712539673 2.8570001125335693 16.299999237060547 1.350000023841858 1.8669999837875366 0.35499998927116394
15.100000381469727 15.0 23.909500122070312 23.906400680541992 4.735199928283691 31.554000854492188 21.062999725341797 0.2680000066757202 2.816999912261963 12.199999809265137 1.225000023841858 1.8890000581741333 0.3449999988079071

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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