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Dataset Title:  "LATEX CTD - d94h100.nc - 28.8N, 94.69W - 1994-05-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h100)
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: 33)
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   33 options
    depth ?  =  m   33 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   29 options
    conductivity ?  =  Siemens per meter   31 options
    salinity ?  =  PSU   32 options
    sigmat ?  =  kg m-3   33 options
    descentRate ?  =  meters per second   32 options
    transmission ?  =  percent   23 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   27 options
    backscattering ?  =  volts   16 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
3.0 3.0 22.94569969177246 22.945100784301758 4.519100189208984 30.610599517822266 20.62540054321289 0.382999986410141 4.269999980926514 0.7099999785423279 0.18199999630451202 0.4659999907016754 0.05299999937415123
3.5 3.5 22.94700050354004 22.946300506591797 4.519199848175049 30.610000610351562 20.624500274658203 0.5239999890327454 4.267000198364258 0.6399999856948853 0.13600000739097595 0.46299999952316284 0.054999999701976776
4.0 4.0 22.947099685668945 22.946300506591797 4.519100189208984 30.60930061340332 20.624000549316406 0.33500000834465027 4.271999835968018 0.5699999928474426 0.0860000029206276 0.4620000123977661 0.05299999937415123
4.5 4.5 22.947599411010742 22.946699142456055 4.519199848175049 30.609399795532227 20.62380027770996 0.44600000977516174 4.270999908447266 0.46000000834465027 -9.0 0.4560000002384186 0.052000001072883606
5.0 5.0 22.948200225830078 22.947200775146484 4.519499778747559 30.611099243164062 20.625 0.4819999933242798 4.2729997634887695 0.4699999988079071 0.0 0.4729999899864197 0.05299999937415123
5.5 5.5 22.94890022277832 22.947799682617188 4.519800186157227 30.612699508666992 20.625999450683594 0.382999986410141 4.270999908447266 0.4699999988079071 0.0 0.4699999988079071 0.052000001072883606
6.0 6.0 22.947900772094727 22.946699142456055 4.519700050354004 30.612600326538086 20.626300811767578 0.5889999866485596 4.271999835968018 0.4699999988079071 0.0 0.4560000002384186 0.054999999701976776
6.5 6.5 22.9507999420166 22.949499130249023 4.520699977874756 30.618200302124023 20.629600524902344 0.5879999995231628 4.271999835968018 0.4699999988079071 0.0 0.46299999952316284 0.05299999937415123
7.0 7.0 22.954599380493164 22.95319938659668 4.521999835968018 30.624799728393555 20.633499145507812 0.3790000081062317 4.270999908447266 0.4699999988079071 0.0 0.47600001096725464 0.05000000074505806
7.599999904632568 7.5 22.954599380493164 22.953100204467773 4.522500038146973 30.628799438476562 20.636499404907227 0.2849999964237213 4.269999980926514 0.4699999988079071 0.0 0.47200000286102295 0.052000001072883606
8.100000381469727 8.0 22.953699111938477 22.95210075378418 4.521900177001953 30.624799728393555 20.633800506591797 0.4650000035762787 4.269000053405762 0.4699999988079071 0.0 0.460999995470047 0.05299999937415123
8.600000381469727 8.5 22.954299926757812 22.952600479125977 4.522299766540527 30.62689971923828 20.63520050048828 0.8199999928474426 4.26800012588501 0.4699999988079071 0.0 0.460999995470047 0.05299999937415123
9.100000381469727 9.0 22.954999923706055 22.95319938659668 4.523399829864502 30.634300231933594 20.64069938659668 0.9559999704360962 4.264999866485596 0.4699999988079071 0.0 0.46799999475479126 0.050999999046325684
9.600000381469727 9.5 22.954599380493164 22.952699661254883 4.525899887084961 30.65399932861328 20.65559959411621 0.906000018119812 4.26800012588501 0.4699999988079071 0.0 0.4749999940395355 0.052000001072883606
10.100000381469727 10.0 22.954599380493164 22.952600479125977 4.526500225067139 30.658000946044922 20.658599853515625 0.6079999804496765 4.264999866485596 0.4699999988079071 0.0 0.4749999940395355 0.052000001072883606
10.600000381469727 10.5 22.949600219726562 22.947500228881836 4.531700134277344 30.700700759887695 20.692399978637695 0.7839999794960022 4.267000198364258 0.4699999988079071 0.0 0.46000000834465027 0.05299999937415123
11.100000381469727 11.0 22.93939971923828 22.93720054626465 4.5406999588012695 30.775699615478516 20.75200080871582 0.7490000128746033 4.265999794006348 0.4699999988079071 0.0 0.47099998593330383 0.050999999046325684
11.600000381469727 11.5 22.936199188232422 22.933900833129883 4.542799949645996 30.79360008239746 20.76650047302246 0.5490000247955322 4.263000011444092 0.4699999988079071 0.0 0.4880000054836273 0.050999999046325684
12.100000381469727 12.0 22.919700622558594 22.917299270629883 4.55019998550415 30.861499786376953 20.822399139404297 0.335999995470047 4.26800012588501 0.4699999988079071 0.0 0.5099999904632568 0.052000001072883606
12.600000381469727 12.5 22.88629913330078 22.883800506591797 4.5619001388549805 30.973600387573242 20.91670036315918 0.5379999876022339 4.265999794006348 0.4699999988079071 0.0 0.531000018119812 0.057999998331069946
13.100000381469727 13.0 22.84830093383789 22.845699310302734 4.572400093078613 31.079999923706055 21.007999420166016 0.6000000238418579 4.261000156402588 0.4699999988079071 0.0 0.5389999747276306 0.05900000035762787
13.600000381469727 13.5 22.831100463867188 22.828399658203125 4.578199863433838 31.13610076904297 21.055299758911133 0.3959999978542328 4.252999782562256 0.4699999988079071 0.0 0.5479999780654907 0.06300000101327896
14.100000381469727 14.0 22.79400062561035 22.791200637817383 4.587299823760986 31.23110008239746 21.137699127197266 0.3269999921321869 4.2170000076293945 0.4699999988079071 0.0 0.5529999732971191 0.06300000101327896
14.600000381469727 14.5 22.776500701904297 22.77359962463379 4.593999862670898 31.2947998046875 21.19070053100586 0.3109999895095825 4.203000068664551 0.4699999988079071 0.0 0.5460000038146973 0.0689999982714653
15.100000381469727 15.0 22.742399215698242 22.73940086364746 4.601600170135498 31.37689971923828 21.262699127197266 0.4399999976158142 4.209000110626221 0.4699999988079071 0.0 0.5440000295639038 0.06300000101327896
15.600000381469727 15.5 22.70829963684082 22.7052001953125 4.6092000007629395 31.459199905395508 21.33449935913086 0.43700000643730164 4.175000190734863 0.4699999988079071 0.0 0.5230000019073486 0.11100000143051147
16.100000381469727 16.0 22.6742000579834 22.67099952697754 4.616799831390381 31.54170036315918 21.406600952148438 0.30300000309944153 4.1519999504089355 0.4699999988079071 0.0 0.515999972820282 0.17299999296665192
16.600000381469727 16.5 22.639999389648438 22.636699676513672 4.6244001388549805 31.624300003051758 21.47879981994629 0.2939999997615814 4.126999855041504 0.4699999988079071 0.0 0.5099999904632568 0.164000004529953
17.100000381469727 17.0 22.605899810791016 22.602500915527344 4.631999969482422 31.70709991455078 21.551000595092773 0.375 3.9839999675750732 0.4699999988079071 0.0 0.5450000166893005 0.164000004529953
17.600000381469727 17.5 22.571800231933594 22.568300247192383 4.639599800109863 31.789899826049805 21.623300552368164 0.25099998712539673 3.8010001182556152 0.4699999988079071 0.0 0.4869999885559082 0.11299999803304672
18.100000381469727 18.0 22.5487003326416 22.54509925842285 4.6493000984191895 31.88050079345703 21.698400497436523 0.25600001215934753 3.421999931335449 0.4699999988079071 0.0 0.47200000286102295 0.2280000001192093
18.600000381469727 18.5 22.497800827026367 22.49410057067871 4.662799835205078 32.02109909057617 21.819299697875977 0.27799999713897705 3.183000087738037 0.4699999988079071 0.0 0.4339999854564667 0.27900001406669617
19.100000381469727 19.0 22.430099487304688 22.426300048828125 4.680799961090088 32.20949935913086 21.981000900268555 0.23800000548362732 3.0850000381469727 0.4699999988079071 0.0 0.4440000057220459 0.3449999988079071

In total, there are 33 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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