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Dataset Title:  "LATEX CTD - d94i129.nc - 28.13N, 96.5W - 1994-08-04" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94i129)
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: 33)
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   33 options
    depth ?  =  m   33 options
    temperature ?  =  degree_C   30 options
    potentialTemperature ?  =  degree_C   29 options
    conductivity ?  =  Siemens per meter   19 options
    salinity ?  =  PSU   24 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   33 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   33 options
    parv ?  =  volts   33 options
    fluorescence ?  =  volts   31 options
    backscattering ?  =  volts   27 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
1.0 1.0 27.904499053955078 27.904300689697266 5.765500068664551 36.08140182495117 23.24169921875 -1.7009999752044678 2.680999994277954 988.0 3.134000062942505 1.8270000219345093 0.48100000619888306
1.5 1.5 27.932600021362305 27.932300567626953 5.774099826812744 36.120201110839844 23.261699676513672 -0.010999999940395355 2.7039999961853027 442.0 2.7839999198913574 1.8639999628067017 0.46700000762939453
2.0 2.0 27.935199737548828 27.93470001220703 5.774899959564209 36.1234016418457 23.263399124145508 -0.027000000700354576 2.694999933242798 262.0 2.556999921798706 1.8380000591278076 0.4659999907016754
2.5 2.5 27.93899917602539 27.938400268554688 5.776199817657471 36.12990188598633 23.267099380493164 -0.11299999803304672 2.694000005722046 212.0 2.4660000801086426 1.8350000381469727 0.48100000619888306
3.0 3.0 27.939599990844727 27.938899993896484 5.776500225067139 36.13100051879883 23.2677001953125 -0.08299999684095383 2.690000057220459 158.0 2.3389999866485596 1.8289999961853027 0.47999998927116394
3.5 3.5 27.93829917907715 27.9375 5.7758002281188965 36.12699890136719 23.265199661254883 0.008999999612569809 2.684000015258789 146.0 2.302000045776367 1.909999966621399 0.47699999809265137
4.0 4.0 27.941099166870117 27.940200805664062 5.777200222015381 36.1349983215332 23.270299911499023 2.0789999961853027 2.6619999408721924 114.0 2.197000026702881 1.8990000486373901 0.460999995470047
4.5 4.5 27.940900802612305 27.939800262451172 5.777100086212158 36.1338996887207 23.269500732421875 -6.1620001792907715 2.6540000438690186 90.4000015258789 2.0950000286102295 1.8880000114440918 0.46299999952316284
5.0 5.0 27.941600799560547 27.940399169921875 5.777200222015381 36.134300231933594 23.269699096679688 1.9919999837875366 2.634999990463257 71.9000015258789 1.996000051498413 1.8819999694824219 0.46799999475479126
5.5 5.5 27.941499710083008 27.940200805664062 5.777299880981445 36.13479995727539 23.270200729370117 0.09399999678134918 2.638000011444092 55.599998474121094 1.8839999437332153 1.8930000066757202 0.4659999907016754
6.0 6.0 27.94230079650879 27.940799713134766 5.777699947357178 36.13710021972656 23.271699905395508 -0.014999999664723873 2.6530001163482666 42.0 1.7619999647140503 1.8960000276565552 0.4909999966621399
6.5 6.5 27.942399978637695 27.940900802612305 5.7778000831604 36.13740158081055 23.271799087524414 0.2529999911785126 2.6579999923706055 36.599998474121094 1.7029999494552612 1.878999948501587 0.48500001430511475
7.0 7.0 27.942800521850586 27.941099166870117 5.778299808502197 36.14039993286133 23.274099349975586 0.05999999865889549 2.6500000953674316 28.200000762939453 1.590000033378601 1.850000023841858 0.4729999899864197
7.599999904632568 7.5 27.94260025024414 27.940799713134766 5.778200149536133 36.139400482177734 23.273399353027344 8.121000289916992 2.6570000648498535 21.600000381469727 1.4730000495910645 1.8890000581741333 0.49000000953674316
8.100000381469727 8.0 27.94300079345703 27.941099166870117 5.778299808502197 36.13999938964844 23.273700714111328 0.4779999852180481 2.6570000648498535 16.5 1.3559999465942383 1.9450000524520874 0.49000000953674316
8.600000381469727 8.5 27.94070053100586 27.93869972229004 5.778200149536133 36.14080047607422 23.275100708007812 0.39800000190734863 2.6559998989105225 13.699999809265137 1.2760000228881836 1.9019999504089355 0.4909999966621399
9.100000381469727 9.0 27.93709945678711 27.934999465942383 5.777900218963623 36.14139938354492 23.27680015563965 -1.003000020980835 2.6649999618530273 13.300000190734863 1.2619999647140503 1.8420000076293945 0.4740000069141388
9.600000381469727 9.5 27.934900283813477 27.93269920349121 5.777699947357178 36.141700744628906 23.277799606323242 0.3529999852180481 2.6579999923706055 10.800000190734863 1.1740000247955322 1.8769999742507935 0.4740000069141388
10.100000381469727 10.0 27.931699752807617 27.92930030822754 5.777400016784668 36.14179992675781 23.27899932861328 0.010999999940395355 2.6510000228881836 8.199999809265137 1.0529999732971191 1.8420000076293945 0.4860000014305115
10.600000381469727 10.5 27.931800842285156 27.92930030822754 5.777500152587891 36.14179992675781 23.27899932861328 -0.03200000151991844 2.6640000343322754 6.320000171661377 0.9399999976158142 1.7960000038146973 0.4790000021457672
11.100000381469727 11.0 27.931499481201172 27.92889976501465 5.777400016784668 36.1416015625 23.278900146484375 -0.10899999737739563 2.6640000343322754 5.190000057220459 0.8539999723434448 1.774999976158142 0.4869999885559082
11.600000381469727 11.5 27.931499481201172 27.928800582885742 5.777400016784668 36.14120101928711 23.27869987487793 -0.19300000369548798 2.6659998893737793 4.46999979019165 0.7889999747276306 1.7599999904632568 0.49799999594688416
12.100000381469727 12.0 27.930500030517578 27.927600860595703 5.777299880981445 36.1411018371582 23.27899932861328 -1.1039999723434448 2.6619999408721924 3.9200000762939453 0.7319999933242798 1.809000015258789 0.5049999952316284
12.600000381469727 12.5 27.930099487304688 27.927099227905273 5.777299880981445 36.14139938354492 23.279399871826172 0.1679999977350235 2.6640000343322754 3.4200000762939453 0.6729999780654907 1.8170000314712524 0.5
13.100000381469727 13.0 27.929800033569336 27.926799774169922 5.777299880981445 36.14139938354492 23.279499053955078 8.923999786376953 2.6510000228881836 2.9100000858306885 0.6029999852180481 1.9220000505447388 0.4909999966621399
13.600000381469727 13.5 27.929800033569336 27.926599502563477 5.777299880981445 36.14139938354492 23.279600143432617 -0.1899999976158142 2.6470000743865967 2.4100000858306885 0.5210000276565552 1.8980000019073486 0.5009999871253967
14.100000381469727 14.0 27.9281005859375 27.924800872802734 5.777100086212158 36.1411018371582 23.280000686645508 1.034000039100647 2.6440000534057617 1.840000033378601 0.4050000011920929 1.8079999685287476 0.5090000033378601
14.600000381469727 14.5 27.92690086364746 27.923500061035156 5.7769999504089355 36.14099884033203 23.28030014038086 -0.32499998807907104 2.618000030517578 1.6799999475479126 0.36399999260902405 1.8240000009536743 0.5789999961853027
15.100000381469727 15.0 27.92650032043457 27.92289924621582 5.7769999504089355 36.14099884033203 23.280399322509766 0.30300000309944153 2.621000051498413 1.399999976158142 0.2840000092983246 1.8420000076293945 0.5550000071525574
15.600000381469727 15.5 27.92569923400879 27.922000885009766 5.776899814605713 36.14080047607422 23.28059959411621 -0.1720000058412552 2.558000087738037 1.1299999952316284 0.19099999964237213 1.8179999589920044 0.5659999847412109
16.100000381469727 16.0 27.925100326538086 27.921300888061523 5.776800155639648 36.14059829711914 23.28070068359375 -0.593999981880188 2.503999948501587 0.9300000071525574 0.10599999874830246 1.7510000467300415 0.5709999799728394
16.600000381469727 16.5 27.92490005493164 27.92099952697754 5.776800155639648 36.14059829711914 23.280799865722656 -0.6150000095367432 2.4619998931884766 0.8100000023841858 0.04899999871850014 1.8509999513626099 0.609000027179718
17.100000381469727 17.0 27.92490005493164 27.920900344848633 5.776800155639648 36.14059829711914 23.280799865722656 -0.14300000667572021 2.447000026702881 0.7300000190734863 0.004000000189989805 1.8899999856948853 0.5720000267028809

In total, there are 33 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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