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Dataset Title:  "LATEX CTD - d94i062.nc - 28.75N, 93.0W - 1994-07-31" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i062)
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: 52)
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   52 options
    depth ?  =  m   52 options
    temperature ?  =  degree_C   52 options
    potentialTemperature ?  =  degree_C   52 options
    conductivity ?  =  Siemens per meter   52 options
    salinity ?  =  PSU   52 options
    sigmat ?  =  kg m-3   51 options
    descentRate ?  =  meters per second   52 options
    transmission ?  =  percent   32 options
    par ?  =  umol m-2 s-1   52 options
    parv ?  =  volts   52 options
    fluorescence ?  =  volts   45 options
    backscattering ?  =  volts   20 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 28.39929962158203 28.39889907836914 5.132599830627441 31.32859992980957 19.50950050354004 0.17100000381469727 4.35699987411499 86.30000305175781 2.075000047683716 1.3480000495910645 0.028999999165534973
2.5 2.5 28.50079917907715 28.500200271606445 5.168000221252441 31.50309944152832 19.60740089416504 0.9179999828338623 4.363999843597412 71.30000305175781 1.9919999837875366 1.347000002861023 0.027000000700354576
3.0 3.0 28.579200744628906 28.578500747680664 5.1946001052856445 31.63279914855957 19.679100036621094 2.8269999027252197 4.372000217437744 63.70000076293945 1.9429999589920044 1.343000054359436 0.026000000536441803
3.5 3.5 28.614299774169922 28.613500595092773 5.210000038146973 31.714399337768555 19.72879981994629 0.20000000298023224 4.370999813079834 57.29999923706055 1.8969999551773071 1.343999981880188 0.024000000208616257
4.0 4.0 28.6299991607666 28.628999710083008 5.216100215911865 31.745899200439453 19.747400283813477 0.20600000023841858 4.370999813079834 51.900001525878906 1.8539999723434448 1.3480000495910645 0.02500000037252903
4.5 4.5 28.638999938964844 28.63789939880371 5.219900131225586 31.765399932861328 19.75909996032715 0.014000000432133675 4.372000217437744 44.5 1.7869999408721924 1.347000002861023 0.02500000037252903
5.0 5.0 28.644800186157227 28.643600463867188 5.222899913787842 31.782100677490234 19.769699096679688 -1.062999963760376 4.370999813079834 40.900001525878906 1.7510000467300415 1.3509999513626099 0.024000000208616257
5.5 5.5 28.652599334716797 28.65130043029785 5.225800037384033 31.796600341796875 19.777999877929688 0.04399999976158142 4.372000217437744 38.900001525878906 1.7289999723434448 1.3519999980926514 0.024000000208616257
6.0 6.0 28.66080093383789 28.659400939941406 5.228700160980225 31.810400009155273 19.78580093383789 -1.180999994277954 4.372000217437744 36.400001525878906 1.7000000476837158 1.3459999561309814 0.024000000208616257
6.5 6.5 28.672300338745117 28.670700073242188 5.232399940490723 31.828100204467773 19.795299530029297 0.35499998927116394 4.373000144958496 33.599998474121094 1.6660000085830688 1.3550000190734863 0.024000000208616257
7.0 7.0 28.688800811767578 28.68709945678711 5.236599922180176 31.845199584960938 19.802799224853516 0.2919999957084656 4.374000072479248 31.5 1.6369999647140503 1.3589999675750732 0.02500000037252903
7.599999904632568 7.5 28.70479965209961 28.702999114990234 5.240699768066406 31.862600326538086 19.81060028076172 -0.15199999511241913 4.374000072479248 29.299999237060547 1.6059999465942383 1.3680000305175781 0.024000000208616257
8.100000381469727 8.0 28.75279998779297 28.750900268554688 5.255899906158447 31.933900833129883 19.848400115966797 0.013000000268220901 4.376999855041504 27.5 1.5779999494552612 1.3539999723434448 0.024000000208616257
8.600000381469727 8.5 28.881399154663086 28.8794002532959 5.310800075531006 32.22169876098633 20.021799087524414 0.0560000017285347 4.377999782562256 26.200000762939453 1.5570000410079956 1.3380000591278076 0.02500000037252903
9.100000381469727 9.0 29.157800674438477 29.15559959411621 5.4319000244140625 32.857398986816406 20.40690040588379 -0.5109999775886536 4.377999782562256 24.899999618530273 1.5360000133514404 1.3309999704360962 0.024000000208616257
9.600000381469727 9.5 29.32360076904297 29.321199417114258 5.482100009918213 33.084800720214844 20.522199630737305 -0.5709999799728394 4.394000053405762 23.5 1.5110000371932983 1.3309999704360962 0.023000000044703484
10.100000381469727 10.0 29.3125 29.310100555419922 5.481200218200684 33.08570098876953 20.526500701904297 1.2039999961853027 4.4019999504089355 22.5 1.4919999837875366 1.340000033378601 0.02199999988079071
10.600000381469727 10.5 29.2726993560791 29.270099639892578 5.4756999015808105 33.07569885253906 20.532400131225586 -0.3720000088214874 4.400000095367432 21.899999618530273 1.4789999723434448 1.3450000286102295 0.020999999716877937
11.100000381469727 11.0 29.25149917602539 29.24880027770996 5.472799777984619 33.070899963378906 20.535900115966797 -0.2280000001192093 4.4029998779296875 21.200000762939453 1.465999960899353 1.340999960899353 0.020999999716877937
11.600000381469727 11.5 29.24690055847168 29.24410057067871 5.4720001220703125 33.06840133666992 20.53569984436035 5.916999816894531 4.4029998779296875 20.299999237060547 1.4470000267028809 1.3309999704360962 0.02199999988079071
12.100000381469727 12.0 29.24530029296875 29.242399215698242 5.471799850463867 33.06779861450195 20.53569984436035 -0.00800000037997961 4.4029998779296875 19.399999618530273 1.4259999990463257 1.3619999885559082 0.02199999988079071
12.600000381469727 12.5 29.24250030517578 29.239500045776367 5.47130012512207 33.066001892089844 20.535400390625 0.29100000858306885 4.4039998054504395 18.5 1.406999945640564 1.3519999980926514 0.02199999988079071
13.100000381469727 13.0 29.239900588989258 29.236799240112305 5.470900058746338 33.06529998779297 20.53580093383789 -0.7929999828338623 4.4039998054504395 17.899999618530273 1.3919999599456787 1.3559999465942383 0.02199999988079071
13.600000381469727 13.5 29.24329948425293 29.239999771118164 5.472400188446045 33.07279968261719 20.540300369262695 -0.006000000052154064 4.4029998779296875 17.5 1.38100004196167 1.343000054359436 0.02199999988079071
14.100000381469727 14.0 29.260000228881836 29.25659942626953 5.478099822998047 33.10020065307617 20.555299758911133 0.012000000104308128 4.3979997634887695 16.899999618530273 1.3660000562667847 1.3329999446868896 0.02199999988079071
14.600000381469727 14.5 29.263500213623047 29.260000228881836 5.480999946594238 33.11690139770508 20.566699981689453 -0.0560000017285347 4.40500020980835 16.100000381469727 1.3459999561309814 1.3380000591278076 0.023000000044703484
15.100000381469727 15.0 29.25510025024414 29.25149917602539 5.483699798583984 33.14120101928711 20.587799072265625 -0.289000004529953 4.40500020980835 15.5 1.3289999961853027 1.371000051498413 0.02199999988079071
15.600000381469727 15.5 29.253599166870117 29.249799728393555 5.487599849700928 33.168800354003906 20.608999252319336 -0.3659999966621399 4.396999835968018 15.100000381469727 1.3170000314712524 1.402999997138977 0.02199999988079071
16.100000381469727 16.0 29.237699508666992 29.233800888061523 5.490799903869629 33.20090103149414 20.638399124145508 0.03999999910593033 4.39900016784668 14.699999809265137 1.305999994277954 1.3980000019073486 0.02199999988079071
16.600000381469727 16.5 29.190900802612305 29.186899185180664 5.489200115203857 33.2224006652832 20.67020034790039 0.9160000085830688 4.395999908447266 14.100000381469727 1.2879999876022339 1.3990000486373901 0.02199999988079071
17.100000381469727 17.0 29.148799896240234 29.144699096679688 5.486199855804443 33.23080062866211 20.69059944152832 -3.947999954223633 4.394000053405762 13.399999618530273 1.2669999599456787 1.3969999551773071 0.02199999988079071
17.600000381469727 17.5 29.143699645996094 29.13949966430664 5.489999771118164 33.26020050048828 20.71430015563965 -0.052000001072883606 4.401000022888184 12.899999618530273 1.2489999532699585 1.3799999952316284 0.02199999988079071
18.100000381469727 18.0 29.156400680541992 29.152000427246094 5.494999885559082 33.285701751708984 20.729299545288086 0.004999999888241291 4.400000095367432 12.5 1.2369999885559082 1.38100004196167 0.023000000044703484
18.600000381469727 18.5 29.16360092163086 29.159099578857422 5.50029993057251 33.31660079956055 20.750099182128906 -1.2200000286102295 4.4019999504089355 12.199999809265137 1.2269999980926514 1.3730000257492065 0.02199999988079071
19.100000381469727 19.0 29.12969970703125 29.125099182128906 5.511899948120117 33.4193000793457 20.838499069213867 -0.5619999766349792 4.401000022888184 11.899999618530273 1.2139999866485596 1.3760000467300415 0.02199999988079071
19.600000381469727 19.5 29.025400161743164 29.020599365234375 5.560299873352051 33.822601318359375 21.175800323486328 -0.1340000033378601 4.38100004196167 11.5 1.1979999542236328 1.399999976158142 0.023000000044703484
20.100000381469727 20.0 28.856300354003906 28.851499557495117 5.571300029754639 34.01850128173828 21.378999710083008 0.9819999933242798 4.394000053405762 11.0 1.1790000200271606 1.4049999713897705 0.024000000208616257
20.600000381469727 20.5 28.692899703979492 28.687999725341797 5.575399875640869 34.16320037841797 21.541799545288086 -1.815000057220459 4.395999908447266 10.5 1.159999966621399 1.4190000295639038 0.02500000037252903
21.100000381469727 21.0 28.683900833129883 28.678800582885742 5.593599796295166 34.29499816894531 21.643800735473633 0.057999998331069946 4.39300012588501 10.100000381469727 1.1430000066757202 1.4249999523162842 0.02500000037252903
21.600000381469727 21.5 28.629199981689453 28.624000549316406 5.6194000244140625 34.513099670410156 21.825700759887695 -0.004999999888241291 4.38700008392334 9.770000457763672 1.128999948501587 1.4160000085830688 0.02500000037252903
22.100000381469727 22.0 27.960500717163086 27.955299377441406 5.590000152587891 34.79779815673828 22.25909996032715 -0.15600000321865082 4.372000217437744 9.5 1.1169999837875366 1.4429999589920044 0.029999999329447746
22.700000762939453 22.5 27.365299224853516 27.360000610351562 5.5416998863220215 34.89910125732422 22.528400421142578 0.7979999780654907 4.370999813079834 9.119999885559082 1.0989999771118164 1.5809999704360962 0.02800000086426735
23.200000762939453 23.0 26.50779914855957 26.502599716186523 5.471199989318848 35.04119873046875 22.907699584960938 0.8709999918937683 4.310999870300293 8.6899995803833 1.0779999494552612 1.7510000467300415 0.03500000014901161
23.700000762939453 23.5 26.01449966430664 26.009199142456055 5.42710018157959 35.0973014831543 23.10569953918457 -0.07400000095367432 4.256999969482422 8.350000381469727 1.0609999895095825 1.8519999980926514 0.04500000178813934
24.200000762939453 24.0 25.723400115966797 25.71809959411621 5.394800186157227 35.084598541259766 23.186599731445312 0.296999990940094 4.164999961853027 7.800000190734863 1.031000018119812 1.9119999408721924 0.061000000685453415
24.700000762939453 24.5 25.490999221801758 25.485599517822266 5.375400066375732 35.121299743652344 23.286100387573242 -0.41999998688697815 4.124000072479248 7.329999923706055 1.003999948501587 1.9520000219345093 0.0689999982714653
25.200000762939453 25.0 25.35099983215332 25.345500946044922 5.36870002746582 35.180301666259766 23.37380027770996 -2.0969998836517334 3.99399995803833 6.710000038146973 0.9660000205039978 2.009000062942505 0.08500000089406967
25.700000762939453 25.5 25.217599868774414 25.211999893188477 5.362800121307373 35.239898681640625 23.459699630737305 -0.2639999985694885 3.9200000762939453 6.050000190734863 0.9210000038146973 2.0510001182556152 0.11299999803304672
26.200000762939453 26.0 25.10379981994629 25.098100662231445 5.357600212097168 35.290199279785156 23.532499313354492 -0.6480000019073486 3.8529999256134033 5.460000038146973 0.8759999871253967 2.061000108718872 0.12399999797344208
26.700000762939453 26.5 24.98979949951172 24.983999252319336 5.353300094604492 35.34749984741211 23.610599517822266 -1.590000033378601 3.8510000705718994 4.909999847412109 0.8299999833106995 2.0869998931884766 0.15299999713897705
27.200000762939453 27.0 24.834999084472656 24.829099655151367 5.348299980163574 35.43149948120117 23.721099853515625 -0.4300000071525574 3.805000066757202 4.369999885559082 0.7799999713897705 2.135999917984009 0.1589999943971634
27.700000762939453 27.5 24.731599807739258 24.72559928894043 5.345399856567383 35.49089813232422 23.797399520874023 -0.671999990940094 3.7950000762939453 3.9000000953674316 0.7300000190734863 2.180999994277954 0.1550000011920929

In total, there are 52 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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