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Dataset Title:  "LATEX CTD - d94h105.nc - 28.7N, 95.54W - 1994-05-02" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h105)
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: 21)
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   21 options
    depth ?  =  m   21 options
    temperature ?  =  degree_C   21 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   21 options
    salinity ?  =  PSU   21 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   19 options
    transmission ?  =  percent   21 options
    par ?  =  umol m-2 s-1   21 options
    parv ?  =  volts   21 options
    fluorescence ?  =  volts   19 options
    backscattering ?  =  volts   19 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 23.420000076293945 23.419599533081055 3.558000087738037 23.21649932861328 14.910400390625 0.28299999237060547 2.868000030517578 328.0 2.8480000495910645 0.9210000038146973 0.4449999928474426
2.5 2.5 23.417400360107422 23.416900634765625 3.582200050354004 23.392499923706055 15.043800354003906 0.28999999165534973 2.8959999084472656 265.0 2.755000114440918 0.9200000166893005 0.4390000104904175
3.0 3.0 23.415700912475586 23.41510009765625 3.5896999835968018 23.447799682617188 15.086000442504883 0.3009999990463257 2.88700008392334 197.0 2.627000093460083 0.9309999942779541 0.4429999887943268
3.5 3.5 23.412700653076172 23.41200065612793 3.593400001525879 23.47559928894043 15.107799530029297 0.3440000116825104 2.8889999389648438 134.0 2.4579999446868896 0.9269999861717224 0.48100000619888306
4.0 4.0 23.408700942993164 23.408000946044922 3.5952000617980957 23.490699768066406 15.12030029296875 0.33500000834465027 2.8940000534057617 113.0 2.384000062942505 0.9179999828338623 0.5
4.5 4.5 23.39389991760254 23.39299964904785 3.596100091934204 23.5049991607666 15.135199546813965 0.3140000104904175 2.9030001163482666 88.80000305175781 2.2799999713897705 0.9179999828338623 0.44200000166893005
5.0 5.0 23.404199600219727 23.403200149536133 3.601799964904785 23.5403995513916 15.159000396728516 0.3319999873638153 2.8910000324249268 57.70000076293945 2.0929999351501465 0.8730000257492065 0.4390000104904175
5.5 5.5 23.404300689697266 23.40329933166504 3.603100061416626 23.549699783325195 15.166000366210938 0.3409999907016754 2.888000011444092 44.400001525878906 1.9789999723434448 0.8709999918937683 0.4480000138282776
6.0 6.0 23.3882999420166 23.387100219726562 3.602099895477295 23.55109977722168 15.171600341796875 0.29100000858306885 2.9119999408721924 34.900001525878906 1.8739999532699585 0.8529999852180481 0.4350000023841858
6.5 6.5 23.36709976196289 23.365800857543945 3.6048998832702637 23.582700729370117 15.201199531555176 0.33399999141693115 2.8949999809265137 26.299999237060547 1.7510000467300415 0.8539999723434448 0.4449999928474426
7.0 7.0 23.351499557495117 23.350099563598633 3.6178998947143555 23.684900283813477 15.282600402832031 0.335999995470047 2.8989999294281006 18.799999237060547 1.6059999465942383 0.8379999995231628 0.4300000071525574
7.599999904632568 7.5 23.328399658203125 23.326900482177734 3.6308000087738037 23.790700912475586 15.36870002746582 0.3199999928474426 2.9539999961853027 15.5 1.5210000276565552 0.7509999871253967 0.4359999895095825
8.100000381469727 8.0 23.327600479125977 23.326000213623047 3.6463000774383545 23.903600692749023 15.454099655151367 0.3630000054836273 2.9809999465942383 12.300000190734863 1.4210000038146973 0.6859999895095825 0.43299999833106995
8.600000381469727 8.5 23.3218994140625 23.320199966430664 3.654400110244751 23.96540069580078 15.50220012664795 0.47200000286102295 2.9700000286102295 8.539999961853027 1.2630000114440918 0.6819999814033508 0.4659999907016754
9.100000381469727 9.0 23.313800811767578 23.31209945678711 3.657900094985962 23.994800567626953 15.526599884033203 0.375 2.9240000247955322 6.090000152587891 1.1160000562667847 0.6890000104904175 0.4440000057220459
9.600000381469727 9.5 23.31130027770996 23.30940055847168 3.6631999015808105 24.034799575805664 15.557499885559082 0.33500000834465027 2.9079999923706055 5.460000038146973 1.069000005722046 0.6859999895095825 0.4410000145435333
10.100000381469727 10.0 23.29199981689453 23.290000915527344 3.6719000339508057 24.108200073242188 15.618200302124023 0.47699999809265137 2.8239998817443848 3.7899999618530273 0.9100000262260437 0.6690000295639038 0.4560000002384186
10.600000381469727 10.5 23.283300399780273 23.281200408935547 3.694499969482422 24.277099609375 15.748000144958496 0.43700000643730164 2.7230000495910645 3.0799999237060547 0.8199999928474426 0.6650000214576721 0.49000000953674316
11.100000381469727 11.0 23.274599075317383 23.27239990234375 3.7267000675201416 24.516700744628906 15.931099891662598 0.20800000429153442 2.6640000343322754 2.7100000381469727 0.7649999856948853 0.7149999737739563 0.5630000233650208
11.600000381469727 11.5 23.269500732421875 23.267200469970703 3.741300106048584 24.62529945373535 16.014400482177734 0.33500000834465027 2.5160000324249268 2.0999999046325684 0.652999997138977 0.6480000019073486 0.6399999856948853
12.100000381469727 12.0 23.263500213623047 23.26110076904297 3.7476000785827637 24.674999237060547 16.053600311279297 0.41999998688697815 2.246000051498413 1.4900000095367432 0.5040000081062317 0.7179999947547913 0.6800000071525574

In total, there are 21 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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