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Dataset Title:  "LATEX CTD - d94h102.nc - 28.98N, 94.74W - 1994-05-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h102)
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   19 options
    salinity ?  =  PSU   26 options
    sigmat ?  =  kg m-3   23 options
    descentRate ?  =  meters per second   25 options
    transmission ?  =  percent   19 options
    par ?  =  umol m-2 s-1   4 options
    parv ?  =  volts   5 options
    fluorescence ?  =  volts   22 options
    backscattering ?  =  volts   14 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 23.448699951171875 23.448200225830078 4.193999767303467 27.846500396728516 18.394500732421875 0.4790000021457672 3.7720000743865967 0.7099999785423279 0.1850000023841858 0.3140000104904175 0.15600000321865082
3.0 3.0 23.446699142456055 23.44610023498535 4.193900108337402 27.847000122070312 18.39550018310547 0.4519999921321869 3.7790000438690186 0.6200000047683716 0.125 0.31299999356269836 0.15700000524520874
3.5 3.5 23.440500259399414 23.439800262451172 4.19290018081665 27.8435001373291 18.39459991455078 0.46000000834465027 3.7880001068115234 0.550000011920929 0.0689999982714653 0.3409999907016754 0.15800000727176666
4.0 4.0 23.439699172973633 23.438899993896484 4.19290018081665 27.843399047851562 18.394800186157227 0.7300000190734863 3.7809998989105225 0.4699999988079071 0.0020000000949949026 0.3050000071525574 0.15800000727176666
4.5 4.5 23.438800811767578 23.43790054321289 4.192699909210205 27.84280014038086 18.39459991455078 0.7139999866485596 3.7899999618530273 0.4699999988079071 0.0 0.29499998688697815 0.1550000011920929
5.0 5.0 23.43939971923828 23.438400268554688 4.192800045013428 27.842899322509766 18.394500732421875 0.4480000138282776 3.7860000133514404 0.4699999988079071 0.0 0.2939999997615814 0.1550000011920929
5.5 5.5 23.44070053100586 23.439599990844727 4.192999839782715 27.8435001373291 18.394699096679688 0.4129999876022339 3.7869999408721924 0.4699999988079071 0.0 0.3330000042915344 0.1550000011920929
6.0 6.0 23.4414005279541 23.440200805664062 4.19320011138916 27.843900680541992 18.394800186157227 0.4560000002384186 3.7839999198913574 0.4699999988079071 0.0 0.3100000023841858 0.1589999943971634
6.5 6.5 23.439300537109375 23.437999725341797 4.192800045013428 27.842300415039062 18.39419937133789 0.48500001430511475 3.7829999923706055 0.4699999988079071 0.0 0.3100000023841858 0.15700000524520874
7.0 7.0 23.43869972229004 23.437299728393555 4.192699909210205 27.841899871826172 18.394100189208984 0.3610000014305115 3.796999931335449 0.4699999988079071 0.0 0.3070000112056732 0.15800000727176666
7.599999904632568 7.5 23.439199447631836 23.437700271606445 4.192800045013428 27.84239959716797 18.394399642944336 0.2919999957084656 3.796999931335449 0.4699999988079071 0.0 0.30799999833106995 0.15399999916553497
8.100000381469727 8.0 23.438499450683594 23.436800003051758 4.192800045013428 27.842199325561523 18.394500732421875 0.25999999046325684 3.796999931335449 0.4699999988079071 0.0 0.3140000104904175 0.14900000393390656
8.600000381469727 8.5 23.43950080871582 23.43779945373535 4.192599773406982 27.840099334716797 18.39259910583496 0.3919999897480011 3.7980000972747803 0.4699999988079071 0.0 0.3089999854564667 0.1550000011920929
9.100000381469727 9.0 23.438899993896484 23.43709945678711 4.192599773406982 27.840700149536133 18.393299102783203 0.5210000276565552 3.7980000972747803 0.4699999988079071 0.0 0.3019999861717224 0.15299999713897705
9.600000381469727 9.5 23.43899917602539 23.437000274658203 4.192699909210205 27.841299057006836 18.393699645996094 0.4490000009536743 3.796999931335449 0.4699999988079071 0.0 0.3070000112056732 0.1550000011920929
10.100000381469727 10.0 23.4375 23.43549919128418 4.192599773406982 27.841100692749023 18.393999099731445 0.6230000257492065 3.7960000038146973 0.4699999988079071 0.0 0.3160000145435333 0.15600000321865082
10.600000381469727 10.5 23.440200805664062 23.438100814819336 4.1940999031066895 27.85070037841797 18.40060043334961 0.7799999713897705 3.796999931335449 0.4699999988079071 0.0 0.3179999887943268 0.15399999916553497
11.100000381469727 11.0 23.449199676513672 23.4468994140625 4.201700210571289 27.900999069213867 18.43600082397461 0.531000018119812 3.802000045776367 0.4699999988079071 0.0 0.3199999928474426 0.1509999930858612
11.600000381469727 11.5 23.456499099731445 23.454200744628906 4.206399917602539 27.931100845336914 18.456600189208984 0.44699999690055847 3.7980000972747803 0.4699999988079071 0.0 0.3409999907016754 0.15399999916553497
12.100000381469727 12.0 23.460399627685547 23.45789909362793 4.214300155639648 27.986600875854492 18.497499465942383 0.1509999930858612 3.7880001068115234 0.4699999988079071 0.0 0.32899999618530273 0.16099999845027924
12.600000381469727 12.5 23.45840072631836 23.455900192260742 4.2382001876831055 28.164499282836914 18.632400512695312 0.3610000014305115 3.815000057220459 0.4699999988079071 0.0 0.3179999887943268 0.1509999930858612
13.100000381469727 13.0 23.450899124145508 23.448299407958984 4.258200168609619 28.31760025024414 18.750200271606445 0.47200000286102295 3.8529999256134033 0.4699999988079071 0.0 0.3310000002384186 0.1509999930858612
13.600000381469727 13.5 23.43600082397461 23.433300018310547 4.283299922943115 28.51300048828125 18.902000427246094 0.5460000038146973 3.8589999675750732 0.4699999988079071 0.0 0.33899998664855957 0.1550000011920929
14.100000381469727 14.0 23.425199508666992 23.422399520874023 4.30649995803833 28.6919002532959 19.040199279785156 0.6579999923706055 3.930999994277954 0.4699999988079071 0.0 0.3529999852180481 0.14000000059604645
14.600000381469727 14.5 23.406999588012695 23.40410041809082 4.3414998054504395 28.964000701904297 19.250900268554688 0.3709999918937683 3.9769999980926514 0.4699999988079071 0.0 0.38100001215934753 0.1340000033378601
15.100000381469727 15.0 23.39699935913086 23.393999099731445 4.35860013961792 29.09749984741211 19.35460090637207 0.41499999165534973 3.934000015258789 0.4699999988079071 0.0 0.382999986410141 0.12700000405311584
15.600000381469727 15.5 23.349000930786133 23.34589958190918 4.404699802398682 29.47279930114746 19.65180015563965 0.1509999930858612 3.7790000438690186 0.4699999988079071 0.0 0.37700000405311584 0.13899999856948853

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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