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Dataset Title:  "LATEX CTD - d94h078.nc - 28.86N, 94.0W - 1994-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h078)
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: 43)
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   43 options
    depth ?  =  m   43 options
    temperature ?  =  degree_C   43 options
    potentialTemperature ?  =  degree_C   43 options
    conductivity ?  =  Siemens per meter   43 options
    salinity ?  =  PSU   43 options
    sigmat ?  =  kg m-3   43 options
    descentRate ?  =  meters per second   42 options
    transmission ?  =  percent   42 options
    par ?  =  umol m-2 s-1   43 options
    parv ?  =  volts   43 options
    fluorescence ?  =  volts   38 options
    backscattering ?  =  volts   41 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 23.825199127197266 23.82469940185547 4.349400043487549 28.7539005279541 18.972400665283203 0.25 4.191999912261963 79.69999694824219 2.2330000400543213 0.46799999475479126 0.10100000351667404
3.0 3.0 23.784299850463867 23.783700942993164 4.358500003814697 28.847299575805664 19.05459976196289 0.47099998593330383 4.210999965667725 68.5999984741211 2.1679999828338623 0.45399999618530273 0.05400000140070915
3.5 3.5 23.74340057373047 23.742700576782227 4.367599964141846 28.940900802612305 19.136999130249023 0.7329999804496765 4.203999996185303 53.599998474121094 2.061000108718872 0.4569999873638153 0.0560000017285347
4.0 4.0 23.702499389648438 23.70170021057129 4.376699924468994 29.03459930419922 19.219499588012695 0.5230000019073486 4.184000015258789 53.099998474121094 2.056999921798706 0.4749999940395355 0.054999999701976776
4.5 4.5 23.66160011291504 23.66069984436035 4.385799884796143 29.128599166870117 19.302099227905273 0.6650000214576721 4.191999912261963 44.5 1.9800000190734863 0.4749999940395355 0.05000000074505806
5.0 5.0 23.480899810791016 23.479799270629883 4.4274001121521 29.55660057067871 19.676799774169922 0.7070000171661377 4.146999835968018 40.20000076293945 1.9359999895095825 0.4729999899864197 0.050999999046325684
5.5 5.5 23.300100326538086 23.298999786376953 4.468900203704834 29.988500595092773 20.05459976196289 0.6119999885559082 4.1479997634887695 34.29999923706055 1.8669999837875366 0.4690000116825104 0.050999999046325684
6.0 6.0 23.082300186157227 23.081100463867188 4.496200084686279 30.342100143432617 20.383699417114258 0.39800000190734863 4.10699987411499 29.700000762939453 1.8040000200271606 0.4320000112056732 0.05900000035762787
6.5 6.5 22.813600540161133 22.812299728393555 4.513800144195557 30.66080093383789 20.70039939880371 0.6880000233650208 3.864000082015991 26.0 1.746000051498413 0.4180000126361847 0.0820000022649765
7.0 7.0 22.033599853515625 22.03219985961914 4.545599937438965 31.459400177001953 21.522199630737305 0.7559999823570251 3.4110000133514404 23.200000762939453 1.6979999542236328 0.4320000112056732 0.125
7.599999904632568 7.5 21.93600082397461 21.934499740600586 4.548900127410889 31.55590057373047 21.622299194335938 0.6309999823570251 3.187999963760376 21.0 1.6540000438690186 0.515999972820282 0.23100000619888306
8.100000381469727 8.0 21.986900329589844 21.985300064086914 4.543099880218506 31.473800659179688 21.54599952697754 0.3230000138282776 3.3980000019073486 19.200000762939453 1.6160000562667847 0.621999979019165 0.2639999985694885
8.600000381469727 8.5 22.002700805664062 22.000999450683594 4.546899795532227 31.491899490356445 21.555400848388672 0.24899999797344208 3.5880000591278076 17.200000762939453 1.5670000314712524 0.7149999737739563 0.2070000022649765
9.100000381469727 9.0 21.42729949951172 21.425600051879883 4.567299842834473 32.07360076904297 22.15410041809082 0.35499998927116394 3.569999933242798 15.100000381469727 1.5119999647140503 0.7120000123977661 0.1979999989271164
9.600000381469727 9.5 21.245800018310547 21.243999481201172 4.575099945068359 32.27130126953125 22.353300094604492 0.5649999976158142 3.5920000076293945 14.300000190734863 1.4869999885559082 0.6990000009536743 0.20200000703334808
10.100000381469727 10.0 21.10650062561035 21.10460090637207 4.581999778747559 32.430198669433594 22.511600494384766 0.628000020980835 3.6050000190734863 12.699999809265137 1.437000036239624 0.699999988079071 0.20999999344348907
10.600000381469727 10.5 21.023300170898438 21.021299362182617 4.593100070953369 32.581600189208984 22.64900016784668 0.47099998593330383 3.6519999504089355 10.5 1.3509999513626099 0.6899999976158142 0.21199999749660492
11.100000381469727 11.0 21.081600189208984 21.079500198364258 4.599899768829346 32.59080123901367 22.640399932861328 0.29899999499320984 3.6510000228881836 8.020000457763672 1.2359999418258667 0.6629999876022339 0.19599999487400055
11.600000381469727 11.5 20.910200119018555 20.908000946044922 4.626399993896484 32.93280029296875 22.946500778198242 0.3409999907016754 3.7049999237060547 7.039999961853027 1.1790000200271606 0.6449999809265137 0.19099999964237213
12.100000381469727 12.0 20.849599838256836 20.847299575805664 4.6427001953125 33.11009979248047 23.09749984741211 0.4009999930858612 3.7190001010894775 6.360000133514404 1.1349999904632568 0.6169999837875366 0.1899999976158142
12.600000381469727 12.5 20.8080997467041 20.805700302124023 4.673999786376953 33.391998291015625 23.323200225830078 0.4269999861717224 3.8519999980926514 5.389999866485596 1.062999963760376 0.6330000162124634 0.18400000035762787
13.100000381469727 13.0 20.848800659179688 20.84630012512207 4.682000160217285 33.42380142211914 23.33639907836914 0.34299999475479126 4.011000156402588 4.400000095367432 0.9750000238418579 0.6190000176429749 0.14800000190734863
13.600000381469727 13.5 20.869300842285156 20.86669921875 4.697700023651123 33.533199310302734 23.414199829101562 0.32100000977516174 4.105000019073486 4.119999885559082 0.9459999799728394 0.597000002861023 0.14499999582767487
14.100000381469727 14.0 20.85569953918457 20.85300064086914 4.721099853515625 33.7317008972168 23.568899154663086 0.40400001406669617 4.125999927520752 3.6500000953674316 0.8939999938011169 0.5879999995231628 0.14399999380111694
14.600000381469727 14.5 20.822599411010742 20.819799423217773 4.731599807739258 33.84170150756836 23.661500930786133 0.4300000071525574 4.056000232696533 3.069999933242798 0.8190000057220459 0.5649999976158142 0.10300000011920929
15.100000381469727 15.0 20.61910057067871 20.616300582885742 4.729499816894531 33.98680114746094 23.826499938964844 0.43700000643730164 3.7720000743865967 2.700000047683716 0.7630000114440918 0.5889999866485596 0.12800000607967377
15.600000381469727 15.5 20.609500885009766 20.606599807739258 4.740200042724609 34.08060073852539 23.90060043334961 0.33000001311302185 3.805999994277954 2.490000009536743 0.7269999980926514 0.5839999914169312 0.15399999916553497
16.100000381469727 16.0 20.431900024414062 20.42889976501465 4.7789998054504395 34.53810119628906 24.296300888061523 0.5770000219345093 3.690000057220459 2.2699999809265137 0.6880000233650208 0.5669999718666077 0.13899999856948853
16.600000381469727 16.5 20.413000106811523 20.409900665283203 4.789000034332275 34.63410186767578 24.374799728393555 0.8040000200271606 3.4119999408721924 2.0899999141693115 0.6510000228881836 0.5989999771118164 0.18199999630451202
17.100000381469727 17.0 20.411100387573242 20.407899856567383 4.791100025177002 34.65230178833008 24.388900756835938 0.8149999976158142 3.305000066757202 1.9299999475479126 0.6169999837875366 0.6110000014305115 0.23399999737739563
17.600000381469727 17.5 20.41230010986328 20.409000396728516 4.791299819946289 34.65299987792969 24.38920021057129 0.5559999942779541 3.299999952316284 1.7699999809265137 0.5799999833106995 0.6069999933242798 0.26100000739097595
18.100000381469727 18.0 20.43199920654297 20.428600311279297 4.787600040435791 34.6067008972168 24.348600387573242 0.546999990940094 3.4000000953674316 1.649999976158142 0.5479999780654907 0.6039999723434448 0.2409999966621399
18.600000381469727 18.5 20.431100845336914 20.427600860595703 4.787300109863281 34.60499954223633 24.347700119018555 0.5260000228881836 3.3350000381469727 1.4700000286102295 0.49900001287460327 0.6039999723434448 0.257999986410141
19.100000381469727 19.0 20.44540023803711 20.44179916381836 4.7891998291015625 34.60860061645508 24.346599578857422 0.5659999847412109 3.303999900817871 1.2999999523162842 0.4440000057220459 0.5979999899864197 0.24699999392032623
19.600000381469727 19.5 20.39189910888672 20.388200759887695 4.804100036621094 34.77299880981445 24.486099243164062 0.8379999995231628 3.3259999752044678 1.1399999856948853 0.3889999985694885 0.5879999995231628 0.26600000262260437
20.100000381469727 20.0 20.347000122070312 20.34320068359375 4.817200183868408 34.916500091552734 24.60740089416504 0.8190000057220459 3.371999979019165 1.0099999904632568 0.33399999141693115 0.5770000219345093 0.2709999978542328
20.600000381469727 20.5 20.320999145507812 20.31719970703125 4.828499794006348 35.029598236083984 24.700599670410156 0.5680000185966492 3.3910000324249268 0.8899999856948853 0.27900001406669617 0.5910000205039978 0.2639999985694885
21.100000381469727 21.0 20.36520004272461 20.3612003326416 4.8292999267578125 34.9995002746582 24.665800094604492 0.5569999814033508 3.490999937057495 0.7699999809265137 0.21699999272823334 0.5979999899864197 0.24799999594688416
21.600000381469727 21.5 20.267200469970703 20.263200759887695 4.8597002029418945 35.328800201416016 24.943099975585938 0.35600000619888306 3.5299999713897705 0.75 0.20600000023841858 0.5920000076293945 0.2329999953508377
22.100000381469727 22.0 20.236499786376953 20.23240089416504 4.868000030517578 35.42169952392578 25.02199935913086 0.32899999618530273 3.4739999771118164 0.6899999976158142 0.1720000058412552 0.6980000138282776 0.21899999678134918
22.700000762939453 22.5 20.234600067138672 20.23040008544922 4.868199825286865 35.424598693847656 25.024799346923828 0.46399998664855957 3.437000036239624 0.6200000047683716 0.12099999934434891 1.2079999446868896 0.24500000476837158
23.200000762939453 23.0 20.233600616455078 20.229299545288086 4.868299961090088 35.426300048828125 25.026199340820312 0.36000001430511475 3.368000030517578 0.5299999713897705 0.05299999937415123 1.4459999799728394 0.24300000071525574
23.700000762939453 23.5 20.224700927734375 20.220300674438477 4.870100021362305 35.44860076904297 25.045799255371094 0.3970000147819519 3.184999942779541 0.4699999988079071 0.006000000052154064 2.1679999828338623 0.28299999237060547

In total, there are 43 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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