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Dataset Title:  "LATEX CTD - d93e068.nc - 28.86N, 93.0W - 1993-04-30" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93e068)
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: 46)
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   46 options
    depth ?  =  m   46 options
    temperature ?  =  degree_C   46 options
    potentialTemperature ?  =  degree_C   46 options
    conductivity ?  =  Siemens per meter   46 options
    salinity ?  =  PSU   46 options
    sigmat ?  =  kg m-3   46 options
    descentRate ?  =  meters per second   44 options
    transmission ?  =  percent   44 options
    par ?  =  umol m-2 s-1   46 options
    parv ?  =  volts   46 options
    fluorescence ?  =  volts   40 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
1.5 1.5 20.918800354003906 20.91860008239746 4.280799865722656 30.19339942932129 20.86210060119629 -0.13699999451637268 4.294000148773193 1560.0 4.2220001220703125 1.4429999589920044 -9.0
2.0 2.0 20.94230079650879 20.9419002532959 4.273799896240234 30.121400833129883 20.801300048828125 0.375 4.295000076293945 780.0 3.921999931335449 1.4980000257492065 -9.0
2.5 2.5 20.93320083618164 20.93269920349121 4.272200107574463 30.115299224853516 20.798999786376953 0.5640000104904175 4.301000118255615 681.0 3.86299991607666 1.5149999856948853 -9.0
3.0 3.0 20.916099548339844 20.915599822998047 4.271299839019775 30.119600296020508 20.806900024414062 0.5920000076293945 4.2870001792907715 531.0 3.755000114440918 1.5299999713897705 -9.0
3.5 3.5 20.89539909362793 20.894800186157227 4.272500038146973 30.14389991760254 20.830799102783203 0.5839999914169312 4.276000022888184 330.0 3.5490000247955322 1.565999984741211 -9.0
4.0 4.0 20.885000228881836 20.884300231933594 4.27839994430542 30.197200775146484 20.874000549316406 0.5540000200271606 4.2769999504089355 234.0 3.4000000953674316 1.5920000076293945 -9.0
4.5 4.5 20.88330078125 20.88249969482422 4.285900115966797 30.257299423217773 20.92020034790039 0.621999979019165 4.2729997634887695 173.0 3.2669999599456787 1.6160000562667847 -9.0
5.0 5.0 20.904199600219727 20.90329933166504 4.291600227355957 30.28700065612793 20.93720054626465 0.7279999852180481 4.285999774932861 150.0 3.2060000896453857 1.6069999933242798 -9.0
5.5 5.5 20.89069938659668 20.88960075378418 4.294300079345703 30.318500518798828 20.964799880981445 0.7519999742507935 4.2870001792907715 128.0 3.138000011444092 1.5850000381469727 -9.0
6.0 6.0 20.88559913635254 20.88450050354004 4.296000003814697 30.334699630737305 20.978500366210938 0.6990000009536743 4.2829999923706055 110.0 3.072000026702881 1.5709999799728394 -9.0
6.5 6.5 20.82710075378418 20.825899124145508 4.307700157165527 30.469100952148438 21.09600067138672 0.6060000061988831 4.265999794006348 92.0 2.99399995803833 1.559000015258789 -9.0
7.0 7.0 20.55660057067871 20.555299758911133 4.341899871826172 30.934900283813477 21.52120018005371 0.5659999847412109 4.2210001945495605 82.0 2.944000005722046 1.565000057220459 -9.0
7.599999904632568 7.5 20.362699508666992 20.361299514770508 4.357699871063232 31.202600479125977 21.77549934387207 0.6549999713897705 4.196000099182129 75.80000305175781 2.9100000858306885 1.5779999494552612 -9.0
8.100000381469727 8.0 20.141700744628906 20.140199661254883 4.372499942779541 31.484500885009766 22.047500610351562 0.7639999985694885 4.169000148773193 71.5999984741211 2.884999990463257 1.5850000381469727 -9.0
8.600000381469727 8.5 19.988800048828125 19.987300872802734 4.3821001052856445 31.676000595092773 22.232900619506836 0.8109999895095825 4.107999801635742 64.69999694824219 2.8410000801086426 1.5889999866485596 -9.0
9.100000381469727 9.0 19.888399124145508 19.88680076599121 4.385200023651123 31.77720069885254 22.335899353027344 0.7760000228881836 4.085000038146973 56.099998474121094 2.7790000438690186 1.6069999933242798 -9.0
9.600000381469727 9.5 19.883899688720703 19.882200241088867 4.391900062561035 31.8346004486084 22.380800247192383 0.6690000295639038 4.035999774932861 51.20000076293945 2.739000082015991 1.6160000562667847 -9.0
10.100000381469727 10.0 19.89699935913086 19.895200729370117 4.395400047302246 31.852500915527344 22.39109992980957 0.5429999828338623 4.03000020980835 44.29999923706055 2.6760001182556152 1.6160000562667847 -9.0
10.600000381469727 10.5 19.891799926757812 19.88990020751953 4.39709997177124 31.87030029296875 22.4060001373291 0.5090000033378601 4.021999835968018 38.20000076293945 2.611999988555908 1.628000020980835 -9.0
11.100000381469727 11.0 19.8799991607666 19.878000259399414 4.396399974822998 31.873600006103516 22.41160011291504 0.6489999890327454 4.01800012588501 36.099998474121094 2.5869998931884766 1.6230000257492065 -9.0
11.600000381469727 11.5 19.885900497436523 19.883800506591797 4.3983001708984375 31.883699417114258 22.417800903320312 0.7979999780654907 4.013999938964844 32.099998474121094 2.5369999408721924 1.621000051498413 -9.0
12.100000381469727 12.0 19.89900016784668 19.896799087524414 4.411099910736084 31.977800369262695 22.486099243164062 0.8769999742507935 4.034999847412109 29.200000762939453 2.494999885559082 1.6100000143051147 -9.0
12.600000381469727 12.5 19.864299774169922 19.86199951171875 4.445799827575684 32.285701751708984 22.729700088500977 0.8560000061988831 4.072000026702881 27.200000762939453 2.4639999866485596 1.5770000219345093 -9.0
13.100000381469727 13.0 19.86639976501465 19.86400032043457 4.478799819946289 32.552101135253906 22.932199478149414 0.7179999947547913 4.181000232696533 25.0 2.427999973297119 1.5390000343322754 -9.0
13.600000381469727 13.5 19.674100875854492 19.67169952392578 4.507999897003174 32.940101623535156 23.277599334716797 0.49300000071525574 4.2829999923706055 22.5 2.381999969482422 1.5110000371932983 -9.0
14.100000381469727 14.0 19.660999298095703 19.65850067138672 4.5467000007629395 33.266300201416016 23.529699325561523 0.4620000123977661 4.184000015258789 20.399999618530273 2.3389999866485596 1.5230000019073486 -9.0
14.600000381469727 14.5 19.736000061035156 19.733400344848633 4.567800045013428 33.37929916381836 23.596500396728516 0.703000009059906 3.7639999389648438 18.700000762939453 2.302999973297119 1.5509999990463257 -9.0
15.100000381469727 15.0 19.74139976501465 19.73859977722168 4.5690999031066895 33.385799407958984 23.600200653076172 0.8519999980926514 3.7070000171661377 17.799999237060547 2.2799999713897705 1.562999963760376 -9.0
15.600000381469727 15.5 19.745899200439453 19.743099212646484 4.570300102233887 33.39139938354492 23.603200912475586 0.8759999871253967 3.700000047683716 17.0 2.260999917984009 1.5640000104904175 -9.0
16.100000381469727 16.0 19.756000518798828 19.75309944152832 4.572000026702881 33.397098541259766 23.604999542236328 0.7749999761581421 3.6740000247955322 16.299999237060547 2.242000102996826 1.5640000104904175 -9.0
16.600000381469727 16.5 19.761499404907227 19.758499145507812 4.572800159454346 33.39950180053711 23.60540008544922 0.5199999809265137 3.6589999198913574 15.0 2.2060000896453857 1.562000036239624 -9.0
17.100000381469727 17.0 19.76409912109375 19.76099967956543 4.570700168609619 33.37969970703125 23.58970069885254 0.3449999988079071 3.6640000343322754 13.199999809265137 2.1489999294281006 1.5700000524520874 -9.0
17.600000381469727 17.5 19.792600631713867 19.789400100708008 4.578499794006348 33.420799255371094 23.61370086669922 0.5989999771118164 3.7109999656677246 11.800000190734863 2.1010000705718994 1.5729999542236328 -9.0
18.100000381469727 18.0 19.798599243164062 19.795299530029297 4.58050012588501 33.43190002441406 23.620500564575195 0.7839999794960022 3.7130000591278076 10.699999809265137 2.059999942779541 1.5759999752044678 -9.0
18.600000381469727 18.5 19.81450080871582 19.811100006103516 4.585299968719482 33.45880126953125 23.636999130249023 0.8799999952316284 3.6700000762939453 9.819999694824219 2.0220000743865967 1.569000005722046 -9.0
19.100000381469727 19.0 19.84269905090332 19.83919906616211 4.594600200653076 33.51219940185547 23.670400619506836 0.8889999985694885 3.5859999656677246 8.949999809265137 1.9819999933242798 1.5720000267028809 -9.0
19.600000381469727 19.5 19.90690040588379 19.903400421142578 4.611599922180176 33.59920120239258 23.72010040283203 0.7839999794960022 3.5239999294281006 8.130000114440918 1.940000057220459 1.5820000171661377 -9.0
20.100000381469727 20.0 19.904600143432617 19.90089988708496 4.608799934387207 33.577701568603516 23.704299926757812 0.3700000047683716 3.5880000591278076 7.239999771118164 1.8899999856948853 1.6059999465942383 -9.0
20.600000381469727 20.5 19.894500732421875 19.89080047607422 4.607399940490723 33.574100494384766 23.704200744628906 0.43799999356269836 3.5769999027252197 6.28000020980835 1.8279999494552612 1.5789999961853027 -9.0
21.100000381469727 21.0 20.001100540161133 19.99720001220703 4.645299911499023 33.798301696777344 23.847299575805664 0.6029999852180481 3.0290000438690186 5.639999866485596 1.781000018119812 1.5850000381469727 -9.0
21.600000381469727 21.5 20.010000228881836 20.006099700927734 4.644400119781494 33.78310012817383 23.83340072631836 0.3569999933242798 2.73799991607666 5.050000190734863 1.7330000400543213 1.6399999856948853 -9.0
22.100000381469727 22.0 20.033899307250977 20.029800415039062 4.6519999504089355 33.825801849365234 23.859800338745117 0.15299999713897705 3.200000047683716 4.809999942779541 1.7120000123977661 1.6519999504089355 -9.0
22.700000762939453 22.5 20.0132999420166 20.009199142456055 4.642099857330322 33.76150131225586 23.816099166870117 0.5270000100135803 3.0250000953674316 4.360000133514404 1.6699999570846558 1.6260000467300415 -9.0
23.200000762939453 23.0 20.019399642944336 20.015100479125977 4.6528000831604 33.84370040893555 23.877199172973633 0.5659999847412109 3.1489999294281006 3.7799999713897705 1.6080000400543213 1.628999948501587 -9.0
23.700000762939453 23.5 20.005800247192383 20.00149917602539 4.658100128173828 33.89780044555664 23.922000885009766 0.3009999990463257 2.7090001106262207 3.0999999046325684 1.5210000276565552 1.6649999618530273 -9.0
24.200000762939453 24.0 19.98979949951172 19.98539924621582 4.660099983215332 33.92679977416992 23.948400497436523 0.1599999964237213 2.9579999446868896 2.549999952316284 1.437000036239624 1.6610000133514404 -9.0

In total, there are 46 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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