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Dataset Title:  "LATEX CTD - d94h104.nc - 29.17N, 94.8W - 1994-05-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h104)
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: 22)
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   22 options
    depth ?  =  m   22 options
    temperature ?  =  degree_C   22 options
    potentialTemperature ?  =  degree_C   22 options
    conductivity ?  =  Siemens per meter   21 options
    salinity ?  =  PSU   22 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   21 options
    transmission ?  =  percent   21 options
    par ?  =  umol m-2 s-1   3 options
    parv ?  =  volts   4 options
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   21 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 23.489700317382812 23.489099502563477 3.540299892425537 23.052900314331055 14.768099784851074 0.33799999952316284 2.25600004196167 0.800000011920929 0.23499999940395355 0.9129999876022339 0.6420000195503235
3.5 3.5 23.478099822998047 23.477399826049805 3.535799980163574 23.025800704956055 14.750900268554688 0.3089999854564667 2.299999952316284 0.6100000143051147 0.11699999868869781 0.9290000200271606 0.6060000061988831
4.0 4.0 23.476699829101562 23.475900650024414 3.53439998626709 23.01650047302246 14.74429988861084 0.4099999964237213 2.299999952316284 0.4699999988079071 -9.0 0.9229999780654907 0.6079999804496765
4.5 4.5 23.476600646972656 23.475799560546875 3.5343000888824463 23.01609992980957 14.744000434875488 0.40700000524520874 2.242000102996826 0.4699999988079071 0.0 0.9259999990463257 0.628000020980835
5.0 5.0 23.478200912475586 23.47719955444336 3.5348000526428223 23.018199920654297 14.745200157165527 0.32899999618530273 2.2260000705718994 0.4699999988079071 0.0 1.0260000228881836 0.6650000214576721
5.5 5.5 23.491100311279297 23.490100860595703 3.534899950027466 23.012300491333008 14.737199783325195 0.3140000104904175 2.1600000858306885 0.4699999988079071 0.0 1.0540000200271606 0.6650000214576721
6.0 6.0 23.507999420166016 23.506799697875977 3.536900043487549 23.018299102783203 14.737099647521973 0.36899998784065247 2.0989999771118164 0.4699999988079071 0.0 1.0069999694824219 0.7170000076293945
6.5 6.5 23.510000228881836 23.508699417114258 3.542099952697754 23.05430030822754 14.763799667358398 0.35100001096725464 2.1019999980926514 0.4699999988079071 0.0 0.9539999961853027 0.7229999899864197
7.099999904632568 7.0 23.51889991760254 23.51740074157715 3.5452001094818115 23.071699142456055 14.774399757385254 0.3400000035762787 2.0250000953674316 0.4699999988079071 0.0 1.0 0.7620000243186951
7.599999904632568 7.5 23.527700424194336 23.526199340820312 3.5481998920440674 23.089000701904297 14.78499984741211 0.328000009059906 1.9479999542236328 0.4699999988079071 0.0 1.0460000038146973 0.8009999990463257
8.100000381469727 8.0 23.531200408935547 23.529600143432617 3.5513999462127686 23.110200881958008 14.800100326538086 0.46799999475479126 1.871000051498413 0.4699999988079071 0.0 1.0460000038146973 0.8050000071525574
8.600000381469727 8.5 23.53420066833496 23.532499313354492 3.5539000034332275 23.12619972229004 14.811300277709961 0.8920000195503235 1.8619999885559082 0.4699999988079071 0.0 1.0490000247955322 0.8360000252723694
9.100000381469727 9.0 23.538000106811523 23.53619956970215 3.5559000968933105 23.138900756835938 14.819899559020996 0.5989999771118164 1.8359999656677246 0.4699999988079071 0.0 1.034999966621399 0.847000002861023
9.600000381469727 9.5 23.532100677490234 23.53019905090332 3.5559000968933105 23.141300201416016 14.8233003616333 0.5130000114440918 1.8839999437332153 0.4699999988079071 0.0 1.0379999876022339 0.8550000190734863
10.100000381469727 10.0 23.536500930786133 23.534500122070312 3.5562000274658203 23.141399383544922 14.822199821472168 0.36899998784065247 1.562999963760376 0.4699999988079071 0.0 1.0499999523162842 0.8489999771118164
10.600000381469727 10.5 23.544300079345703 23.542200088500977 3.5566000938415527 23.13990020751953 14.819000244140625 0.5709999799728394 1.4390000104904175 0.4699999988079071 0.0 1.0850000381469727 0.9900000095367432
11.100000381469727 11.0 23.547500610351562 23.545299530029297 3.5585999488830566 23.15239906311035 14.827500343322754 0.6499999761581421 1.0950000286102295 0.4699999988079071 0.0 1.0870000123977661 1.2330000400543213
11.600000381469727 11.5 23.559200286865234 23.556900024414062 3.568700075149536 23.21929931640625 14.874699592590332 0.4300000071525574 0.5090000033378601 0.4699999988079071 0.0 1.1959999799728394 2.062000036239624
12.100000381469727 12.0 23.563199996948242 23.560800552368164 3.5771000385284424 23.277099609375 14.917200088500977 0.7200000286102295 0.22599999606609344 0.4699999988079071 0.0 1.2640000581741333 2.2960000038146973
12.600000381469727 12.5 23.569599151611328 23.56719970703125 3.578700065612793 23.28510093688965 14.921500205993652 0.6899999976158142 0.18000000715255737 0.4699999988079071 0.0 1.3819999694824219 3.5139999389648438
13.100000381469727 13.0 23.569900512695312 23.56730079650879 3.58240008354187 23.31170082092285 14.941399574279785 0.5720000267028809 0.10100000351667404 0.4699999988079071 0.0 1.4759999513626099 4.633999824523926
13.600000381469727 13.5 23.572099685668945 23.569400787353516 3.58270001411438 23.312400817871094 14.941399574279785 0.36000001430511475 0.01600000075995922 0.4699999988079071 0.0 1.5800000429153442 5.002999782562256

In total, there are 22 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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