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Dataset Title:  "LATEX CTD - d93d113.nc - 28.96N, 93.0W - 1993-02-12" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93d113)
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: 37)
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   37 options
    depth ?  =  m   37 options
    temperature ?  =  degree_C   37 options
    potentialTemperature ?  =  degree_C   37 options
    conductivity ?  =  Siemens per meter   35 options
    salinity ?  =  PSU   37 options
    sigmat ?  =  kg m-3   37 options
    descentRate ?  =  meters per second   36 options
    transmission ?  =  percent   34 options
    par ?  =  umol m-2 s-1   36 options
    parv ?  =  volts   36 options
    fluorescence ?  =  volts   37 options
    backscattering ?  =  volts   1 option: -9.0

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 15.776399612426758 15.776100158691406 3.2906999588012695 25.544200897216797 18.53689956665039 -0.05700000002980232 2.9839999675750732 158.0 3.2300000190734863 3.178999900817871 -9.0
2.5 2.5 15.77340030670166 15.77299976348877 3.3385000228881836 25.95639991760254 18.853500366210938 0.24899999797344208 2.98799991607666 132.0 3.1510000228881836 3.068000078201294 -9.0
3.0 3.0 15.773599624633789 15.773200035095215 3.352099895477295 26.072799682617188 18.942699432373047 0.48899999260902405 2.990000009536743 57.79999923706055 2.7920000553131104 3.114000082015991 -9.0
3.5 3.5 15.773799896240234 15.773300170898438 3.3570001125335693 26.115100860595703 18.975099563598633 0.3050000071525574 2.990999937057495 50.5 2.7330000400543213 3.1740000247955322 -9.0
4.0 4.0 15.77400016784668 15.77340030670166 3.358799934387207 26.1299991607666 18.986499786376953 0.6880000233650208 2.986999988555908 37.0 2.5980000495910645 3.1570000648498535 -9.0
4.5 4.5 15.7746000289917 15.773900032043457 3.3592000007629395 26.132699966430664 18.988500595092773 0.75 2.9860000610351562 29.700000762939453 2.503000020980835 3.1700000762939453 -9.0
5.0 5.0 15.777000427246094 15.776300430297852 3.3594000339508057 26.13290023803711 18.988100051879883 0.48100000619888306 2.984999895095825 25.200000762939453 2.430999994277954 3.3410000801086426 -9.0
5.5 5.5 15.775699615478516 15.774900436401367 3.3594000339508057 26.133699417114258 18.98889923095703 0.4169999957084656 2.98799991607666 21.299999237060547 2.3589999675750732 3.572999954223633 -9.0
6.0 6.0 15.771100044250488 15.7701997756958 3.359800100326538 26.139999389648438 18.994699478149414 0.796999990940094 2.9860000610351562 16.100000381469727 2.2360000610351562 3.436000108718872 -9.0
6.5 6.5 15.756199836730957 15.75529956817627 3.359800100326538 26.149499893188477 19.005199432373047 0.843999981880188 2.989000082015991 14.0 2.1760001182556152 3.7269999980926514 -9.0
7.0 7.0 15.741000175476074 15.739999771118164 3.3596999645233154 26.15850067138672 19.015300750732422 0.6840000152587891 2.9830000400543213 12.800000190734863 2.138000011444092 3.9809999465942383 -9.0
7.599999904632568 7.5 15.790200233459473 15.78909969329834 3.360100030899048 26.12969970703125 18.982799530029297 0.3100000023841858 2.9830000400543213 11.5 2.0889999866485596 4.046000003814697 -9.0
8.100000381469727 8.0 15.855199813842773 15.854000091552734 3.364799976348877 26.12700080871582 18.966899871826172 0.546999990940094 2.997999906539917 10.100000381469727 2.0329999923706055 4.078000068664551 -9.0
8.600000381469727 8.5 16.53019905090332 16.528900146484375 3.4667000770568848 26.550899505615234 19.146400451660156 0.6340000033378601 3.056999921798706 8.59000015258789 1.9639999866485596 3.875 -9.0
9.100000381469727 9.0 17.205299377441406 17.203899383544922 3.56850004196167 26.961299896240234 19.310300827026367 0.6549999713897705 2.757999897003174 7.480000019073486 1.9040000438690186 3.36299991607666 -9.0
9.600000381469727 9.5 17.880300521850586 17.878799438476562 3.6703999042510986 27.358600616455078 19.458900451660156 0.5950000286102295 2.7320001125335693 7.179999828338623 1.8860000371932983 2.621999979019165 -9.0
10.100000381469727 10.0 17.979000091552734 17.9773006439209 3.9193999767303467 29.35770034790039 20.962299346923828 0.35600000619888306 2.7039999961853027 7.360000133514404 1.8969999551773071 1.284000039100647 -9.0
10.600000381469727 10.5 18.00830078125 18.006500244140625 4.063899993896484 30.542800903320312 21.86079978942871 0.257999986410141 3.122999906539917 7.179999828338623 1.8860000371932983 0.8830000162124634 -9.0
11.100000381469727 11.0 18.06100082397461 18.059200286865234 4.149600028991699 31.221399307250977 22.366899490356445 0.5540000200271606 4.077000141143799 6.820000171661377 1.8639999628067017 0.9850000143051147 -9.0
11.600000381469727 11.5 18.10449981689453 18.10260009765625 4.18179988861084 31.45840072631836 22.537599563598633 0.6000000238418579 4.271999835968018 6.929999828338623 1.871000051498413 0.8040000200271606 -9.0
12.100000381469727 12.0 18.126100540161133 18.124099731445312 4.188399791717529 31.49720001220703 22.56209945678711 0.4350000023841858 4.323999881744385 7.599999904632568 1.9110000133514404 0.5529999732971191 -9.0
12.600000381469727 12.5 18.149900436401367 18.14780044555664 4.236100196838379 31.878999710083008 22.848100662231445 0.3529999852180481 4.383999824523926 7.639999866485596 1.9129999876022339 0.4050000011920929 -9.0
13.100000381469727 13.0 18.182100296020508 18.179899215698242 4.27869987487793 32.21120071411133 23.09440040588379 0.5059999823570251 4.409999847412109 7.059999942779541 1.878999948501587 0.34599998593330383 -9.0
13.600000381469727 13.5 18.22319984436035 18.22089958190918 4.305600166320801 32.40510177612305 23.232500076293945 0.48100000619888306 4.413000106811523 6.349999904632568 1.8329999446868896 0.3959999978542328 -9.0
14.100000381469727 14.0 18.34760093688965 18.345199584960938 4.317699909210205 32.40829849243164 23.204599380493164 0.30000001192092896 4.416999816894531 6.010000228881836 1.809000015258789 0.3449999988079071 -9.0
14.600000381469727 14.5 18.49679946899414 18.494300842285156 4.325699806213379 32.357601165771484 23.128999710083008 0.382999986410141 4.395999908447266 6.670000076293945 1.8539999723434448 0.33799999952316284 -9.0
15.100000381469727 15.0 18.570600509643555 18.56800079345703 4.35260009765625 32.52410125732422 23.238000869750977 0.6019999980926514 4.363999843597412 6.119999885559082 1.8170000314712524 0.3779999911785126 -9.0
15.600000381469727 15.5 18.640600204467773 18.63789939880371 4.388800144195557 32.77080154418945 23.40920066833496 0.6779999732971191 4.317999839782715 5.510000228881836 1.7710000276565552 0.5899999737739563 -9.0
16.100000381469727 16.0 18.668399810791016 18.665599822998047 4.430799961090088 33.09920120239258 23.65329933166504 0.6039999723434448 4.23199987411499 5.090000152587891 1.7369999885559082 0.7789999842643738 -9.0
16.600000381469727 16.5 18.680500030517578 18.677600860595703 4.4832000732421875 33.527000427246094 23.97719955444336 0.2750000059604645 4.084000110626221 4.989999771118164 1.7280000448226929 0.7850000262260437 -9.0
17.100000381469727 17.0 18.690799713134766 18.68779945373535 4.521900177001953 33.84320068359375 24.21619987487793 0.4860000014305115 3.884999990463257 5.099999904632568 1.7380000352859497 0.7310000061988831 -9.0
17.600000381469727 17.5 18.69420051574707 18.691099166870117 4.528299808502197 33.89360046386719 24.253999710083008 0.7250000238418579 3.8570001125335693 4.639999866485596 1.6970000267028809 0.7419999837875366 -9.0
18.100000381469727 18.0 18.697900772094727 18.694700241088867 4.531300067901611 33.91559982299805 24.269800186157227 0.7710000276565552 3.812999963760376 4.309999942779541 1.6649999618530273 0.7509999871253967 -9.0
18.600000381469727 18.5 18.698699951171875 18.69540023803711 4.53439998626709 33.94060134887695 24.288799285888672 0.6420000195503235 3.7179999351501465 4.039999961853027 1.6360000371932983 0.7649999856948853 -9.0
19.100000381469727 19.0 18.69809913635254 18.694799423217773 4.538000106811523 33.97140121459961 24.3125 0.2639999985694885 3.6089999675750732 3.8399999141693115 1.6139999628067017 0.7350000143051147 -9.0
19.600000381469727 19.5 18.69890022277832 18.695499420166016 4.539999961853027 33.987300872802734 24.32430076599121 0.5389999747276306 3.5199999809265137 3.5899999141693115 1.5850000381469727 0.7279999852180481 -9.0
20.100000381469727 20.0 18.699199676513672 18.69569969177246 4.540500164031982 33.990501403808594 24.326799392700195 0.6359999775886536 3.5339999198913574 3.2300000190734863 1.5390000343322754 0.7440000176429749 -9.0

In total, there are 37 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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