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Dataset Title:  "LATEX CTD - d94h064.nc - 28.96N, 93.0W - 1994-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h064)
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: 36)
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   36 options
    depth ?  =  m   36 options
    temperature ?  =  degree_C   34 options
    potentialTemperature ?  =  degree_C   34 options
    conductivity ?  =  Siemens per meter   29 options
    salinity ?  =  PSU   28 options
    sigmat ?  =  kg m-3   31 options
    descentRate ?  =  meters per second   34 options
    transmission ?  =  percent   25 options
    par ?  =  umol m-2 s-1   5 options
    parv ?  =  volts   9 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   12 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 22.89900016784668 22.898399353027344 5.2027997970581055 35.88639831542969 24.636999130249023 0.32499998807907104 4.416999816894531 0.8799999952316284 0.27799999713897705 0.17000000178813934 0.01899999938905239
3.0 3.0 22.902099609375 22.901500701904297 5.203199863433838 35.88650131225586 24.636199951171875 0.6669999957084656 4.416999816894531 0.47999998927116394 0.014999999664723873 0.17000000178813934 0.017999999225139618
3.5 3.5 22.902299880981445 22.901599884033203 5.203199863433838 35.88650131225586 24.636199951171875 0.5400000214576721 4.418000221252441 0.5799999833106995 0.09300000220537186 0.17000000178813934 0.01899999938905239
4.0 4.0 22.90250015258789 22.90169906616211 5.203199863433838 35.88639831542969 24.63610076904297 0.3659999966621399 4.416999816894531 0.5199999809265137 0.04399999976158142 0.17100000381469727 0.017000000923871994
4.5 4.5 22.899999618530273 22.899099349975586 5.203000068664551 35.88650131225586 24.636899948120117 0.4000000059604645 4.419000148773193 0.4699999988079071 0.006000000052154064 0.1679999977350235 0.01899999938905239
5.0 5.0 22.899999618530273 22.89900016784668 5.203000068664551 35.886600494384766 24.636999130249023 0.6899999976158142 4.420000076293945 0.4699999988079071 0.004999999888241291 0.16500000655651093 0.017999999225139618
5.5 5.5 22.899900436401367 22.898799896240234 5.203100204467773 35.88650131225586 24.636999130249023 0.7360000014305115 4.415999889373779 0.47999998927116394 0.008999999612569809 0.16599999368190765 0.017999999225139618
6.0 6.0 22.90049934387207 22.89929962158203 5.203199863433838 35.88669967651367 24.636999130249023 0.5109999775886536 4.418000221252441 0.4699999988079071 0.0010000000474974513 0.1679999977350235 0.017999999225139618
6.5 6.5 22.902999877929688 22.90169906616211 5.203499794006348 35.88690185546875 24.636499404907227 0.37599998712539673 4.419000148773193 0.4699999988079071 0.0 0.17299999296665192 0.017999999225139618
7.0 7.0 22.90329933166504 22.90180015563965 5.203499794006348 35.88690185546875 24.63640022277832 0.4819999933242798 4.418000221252441 0.4699999988079071 0.0 0.16899999976158142 0.019999999552965164
7.599999904632568 7.5 22.903099060058594 22.901599884033203 5.20359992980957 35.88710021972656 24.636600494384766 0.44999998807907104 4.415999889373779 0.4699999988079071 0.0 0.17000000178813934 0.017999999225139618
8.100000381469727 8.0 22.90369987487793 22.902000427246094 5.20359992980957 35.88669967651367 24.636199951171875 0.4410000145435333 4.416999816894531 0.4699999988079071 0.0 0.17499999701976776 0.017999999225139618
8.600000381469727 8.5 22.894500732421875 22.8927001953125 5.202499866485596 35.885501861572266 24.63800048828125 0.32600000500679016 4.416999816894531 0.4699999988079071 0.0 0.1770000010728836 0.017999999225139618
9.100000381469727 9.0 22.88409996032715 22.882200241088867 5.201399803161621 35.88560104370117 24.64109992980957 0.2160000056028366 4.419000148773193 0.4699999988079071 0.0 0.18400000035762787 0.017999999225139618
9.600000381469727 9.5 22.87339973449707 22.87150001525879 5.199999809265137 35.883201599121094 24.64229965209961 0.4099999964237213 4.414999961853027 0.4699999988079071 0.0 0.17599999904632568 0.017999999225139618
10.100000381469727 10.0 22.86520004272461 22.863100051879883 5.199100017547607 35.88240051269531 24.64419937133789 0.6639999747276306 4.414000034332275 0.4699999988079071 0.0 0.17800000309944153 0.01899999938905239
10.600000381469727 10.5 22.867399215698242 22.86520004272461 5.1992998123168945 35.882598876953125 24.643699645996094 0.7149999737739563 4.4120001792907715 0.4699999988079071 0.0 0.1770000010728836 0.017999999225139618
11.100000381469727 11.0 22.87070083618164 22.868499755859375 5.19980001449585 35.883201599121094 24.643199920654297 0.4779999852180481 4.414000034332275 0.4699999988079071 0.0 0.1850000023841858 0.01899999938905239
11.600000381469727 11.5 22.87339973449707 22.8710994720459 5.19980001449585 35.88050079345703 24.640399932861328 0.4970000088214874 4.413000106811523 0.4699999988079071 0.0 0.17399999499320984 0.017999999225139618
12.100000381469727 12.0 22.84040069580078 22.837900161743164 5.195799827575684 35.87649917602539 24.646900177001953 0.7200000286102295 4.4070000648498535 0.4699999988079071 0.0 0.17599999904632568 0.017999999225139618
12.600000381469727 12.5 22.818300247192383 22.815799713134766 5.19320011138916 35.87459945678711 24.651899337768555 0.777999997138977 4.40500020980835 0.4699999988079071 0.0 0.1809999942779541 0.019999999552965164
13.100000381469727 13.0 22.800800323486328 22.798200607299805 5.191400051116943 35.8744010925293 24.65679931640625 0.656000018119812 4.395999908447266 0.4699999988079071 0.0 0.19300000369548798 0.020999999716877937
13.600000381469727 13.5 22.7814998626709 22.77869987487793 5.189000129699707 35.87189865112305 24.660499572753906 0.5839999914169312 4.390999794006348 0.4699999988079071 0.0 0.20600000023841858 0.024000000208616257
14.100000381469727 14.0 22.76110076904297 22.75819969177246 5.186699867248535 35.87009811401367 24.665000915527344 0.9039999842643738 4.396999835968018 0.4699999988079071 0.0 0.2070000022649765 0.020999999716877937
14.600000381469727 14.5 22.76259994506836 22.759700775146484 5.18720006942749 35.872398376464844 24.66629981994629 0.8140000104904175 4.395999908447266 0.4699999988079071 0.0 0.20600000023841858 0.020999999716877937
15.100000381469727 15.0 22.708599090576172 22.70549964904785 5.18120002746582 35.870201110839844 24.680200576782227 0.4950000047683716 4.388000011444092 0.4699999988079071 0.0 0.2280000001192093 0.019999999552965164
15.600000381469727 15.5 22.634300231933594 22.631099700927734 5.172900199890137 35.8661994934082 24.69849967956543 0.5899999737739563 4.379000186920166 0.4699999988079071 0.0 0.2529999911785126 0.020999999716877937
16.100000381469727 16.0 22.548599243164062 22.545400619506836 5.164700031280518 35.872501373291016 24.727800369262695 0.5839999914169312 4.376999855041504 0.4699999988079071 0.0 0.25600001215934753 0.020999999716877937
16.600000381469727 16.5 22.506000518798828 22.502599716186523 5.161900043487549 35.88570022583008 24.75 0.3919999897480011 4.372000217437744 0.4699999988079071 0.0 0.25200000405311584 0.023000000044703484
17.100000381469727 17.0 22.482799530029297 22.479299545288086 5.159999847412109 35.890098571777344 24.760000228881836 0.1720000058412552 4.363999843597412 0.4699999988079071 0.0 0.25999999046325684 0.02500000037252903
17.600000381469727 17.5 22.479999542236328 22.47640037536621 5.159900188446045 35.89139938354492 24.761899948120117 0.36800000071525574 4.361000061035156 0.4699999988079071 0.0 0.3019999861717224 0.024000000208616257
18.100000381469727 18.0 22.42259979248047 22.418899536132812 5.154099941253662 35.8927001953125 24.779199600219727 0.3709999918937683 4.315999984741211 0.4699999988079071 0.0 0.3190000057220459 0.02500000037252903
18.600000381469727 18.5 22.35260009765625 22.348899841308594 5.146900177001953 35.89390182495117 24.799999237060547 0.32499998807907104 4.321000099182129 0.4699999988079071 0.0 0.45899999141693115 0.027000000700354576
19.100000381469727 19.0 22.229799270629883 22.22599983215332 5.1331000328063965 35.88650131225586 24.829299926757812 0.30399999022483826 4.2729997634887695 0.4699999988079071 0.0 0.6069999933242798 0.02800000086426735
19.600000381469727 19.5 22.141700744628906 22.137800216674805 5.122900009155273 35.87910079956055 24.848600387573242 0.34599998593330383 4.228000164031982 0.4699999988079071 0.0 0.7429999709129333 0.03400000184774399
20.100000381469727 20.0 22.042200088500977 22.03820037841797 5.111700057983398 35.87300109863281 24.872100830078125 0.41999998688697815 4.192999839782715 0.4699999988079071 0.0 0.8550000190734863 0.03799999877810478

In total, there are 36 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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