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Dataset Title:  "LATEX CTD - d94j100.nc - 28.8N, 94.69W - 1994-11-08" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j100)
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   32 options
    potentialTemperature ?  =  degree_C   32 options
    conductivity ?  =  Siemens per meter   33 options
    salinity ?  =  PSU   31 options
    sigmat ?  =  kg m-3   32 options
    descentRate ?  =  meters per second   32 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   33 options
    parv ?  =  volts   33 options
    fluorescence ?  =  volts   33 options
    backscattering ?  =  volts   23 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 24.97089958190918 24.970500946044922 5.061999797821045 33.213600158691406 22.002599716186523 0.19300000369548798 3.9210000038146973 1630.0 3.3499999046325684 1.3240000009536743 0.09600000083446503
2.5 2.5 25.028900146484375 25.028400421142578 5.06790018081665 33.21500015258789 21.986099243164062 0.36399999260902405 3.9200000762939453 1360.0 3.2730000019073486 1.281000018119812 0.1120000034570694
3.0 3.0 25.029300689697266 25.02869987487793 5.0680999755859375 33.21540069580078 21.986400604248047 0.3889999985694885 3.9189999103546143 1350.0 3.2679998874664307 1.2979999780654907 0.1120000034570694
3.5 3.5 25.023000717163086 25.022300720214844 5.067399978637695 33.215301513671875 21.98819923400879 0.42100000381469727 3.9200000762939453 1150.0 3.197999954223633 1.2890000343322754 0.10999999940395355
4.0 4.0 25.023799896240234 25.022899627685547 5.067500114440918 33.214900970458984 21.987699508666992 0.2770000100135803 3.9189999103546143 897.0 3.0920000076293945 1.2869999408721924 0.11100000143051147
4.5 4.5 25.026500701904297 25.02560043334961 5.067800045013428 33.2151985168457 21.987199783325195 0.28600001335144043 3.9189999103546143 931.0 3.1080000400543213 1.3029999732971191 0.1120000034570694
5.0 5.0 25.02519989013672 25.024200439453125 5.067599773406982 33.21480178833008 21.987199783325195 0.35100001096725464 3.9200000762939453 826.0 3.055999994277954 1.315999984741211 0.10899999737739563
5.5 5.5 25.008699417114258 25.00749969482422 5.065899848937988 33.213600158691406 21.99139976501465 0.4059999883174896 3.9200000762939453 741.0 3.009000062942505 1.312999963760376 0.10899999737739563
6.0 6.0 24.99570083618164 24.994400024414062 5.064599990844727 33.213600158691406 21.995399475097656 0.21799999475479126 3.921999931335449 655.0 2.9549999237060547 1.3170000314712524 0.1080000028014183
6.5 6.5 25.00119972229004 24.999799728393555 5.065100193023682 33.21310043334961 21.99329948425293 0.27300000190734863 3.9170000553131104 619.0 2.930999994277954 1.3200000524520874 0.10899999737739563
7.0 7.0 24.983299255371094 24.981700897216797 5.06279993057251 33.20949935913086 21.9960994720459 0.29100000858306885 3.9179999828338623 553.0 2.881999969482422 1.3229999542236328 0.11299999803304672
7.599999904632568 7.5 24.941600799560547 24.940000534057617 5.057000160217285 33.196800231933594 21.999099731445312 0.26600000262260437 3.9200000762939453 531.0 2.864000082015991 1.3609999418258667 0.10700000077486038
8.100000381469727 8.0 24.86479949951172 24.863100051879883 5.046299934387207 33.17430114746094 22.005199432373047 0.2619999945163727 3.927000045776367 464.0 2.805999994277954 1.3819999694824219 0.10499999672174454
8.600000381469727 8.5 24.827600479125977 24.8257999420166 5.0406999588012695 33.16059875488281 22.006000518798828 0.28999999165534973 3.946000099182129 442.0 2.7839999198913574 1.430999994277954 0.10100000351667404
9.100000381469727 9.0 24.73080062866211 24.72879981994629 5.026599884033203 33.12739944458008 22.010000228881836 0.27900001406669617 3.950000047683716 384.0 2.7230000495910645 1.4570000171661377 0.10499999672174454
9.600000381469727 9.5 24.699199676513672 24.697099685668945 5.022500038146973 33.11989974975586 22.0137996673584 0.29499998688697815 3.9579999446868896 357.0 2.691999912261963 1.4989999532699585 0.10199999809265137
10.100000381469727 10.0 24.700000762939453 24.697900772094727 5.0233001708984375 33.12480163574219 22.01729965209961 0.3009999990463257 3.9519999027252197 341.0 2.671999931335449 1.4980000257492065 0.09300000220537186
10.600000381469727 10.5 24.731700897216797 24.72949981689453 5.029600143432617 33.148399353027344 22.025699615478516 0.35499998927116394 3.9600000381469727 308.0 2.628000020980835 1.5390000343322754 0.10499999672174454
11.100000381469727 11.0 24.74810028076172 24.74570083618164 5.03410005569458 33.16910171508789 22.036399841308594 0.46399998664855957 3.9609999656677246 282.0 2.5889999866485596 1.5210000276565552 0.09799999743700027
11.600000381469727 11.5 24.731800079345703 24.729299545288086 5.032700061798096 33.17060089111328 22.042499542236328 0.33799999952316284 3.953000068664551 253.0 2.5420000553131104 1.5269999504089355 0.0989999994635582
12.100000381469727 12.0 24.720800399780273 24.71820068359375 5.0335001945495605 33.184600830078125 22.056400299072266 0.37700000405311584 3.9489998817443848 232.0 2.503999948501587 1.5529999732971191 0.09600000083446503
12.600000381469727 12.5 24.74690055847168 24.744199752807617 5.040500164031982 33.21699905395508 22.07309913635254 0.328000009059906 3.9779999256134033 214.0 2.4700000286102295 1.5850000381469727 0.09000000357627869
13.100000381469727 13.0 24.75670051574707 24.7539005279541 5.0441999435424805 33.23680114746094 22.085100173950195 0.4269999861717224 3.997999906539917 200.0 2.440000057220459 1.6230000257492065 0.08900000154972076
13.600000381469727 13.5 24.760700225830078 24.757699966430664 5.046199798583984 33.24879837036133 22.09309959411621 0.28299999237060547 4.007999897003174 181.0 2.3959999084472656 1.628000020980835 0.08500000089406967
14.100000381469727 14.0 24.758499145507812 24.75550079345703 5.046500205993652 33.25230026245117 22.096399307250977 0.33799999952316284 4.014999866485596 166.0 2.3589999675750732 1.559000015258789 0.0860000029206276
14.600000381469727 14.5 24.756799697875977 24.753700256347656 5.046899795532227 33.25640106201172 22.100000381469727 0.30399999022483826 4.014999866485596 155.0 2.328000068664551 1.6449999809265137 0.09200000017881393
15.100000381469727 15.0 24.757600784301758 24.7544002532959 5.047500133514404 33.25979995727539 22.102399826049805 0.2750000059604645 4.00600004196167 140.0 2.2860000133514404 1.6690000295639038 0.0949999988079071
15.600000381469727 15.5 24.757999420166016 24.75469970703125 5.047900199890137 33.26259994506836 22.104400634765625 0.27399998903274536 3.9769999980926514 127.0 2.24399995803833 1.6610000133514404 0.09700000286102295
16.100000381469727 16.0 24.75830078125 24.75480079650879 5.0482001304626465 33.26430130004883 22.105600357055664 0.3149999976158142 3.9790000915527344 116.0 2.2019999027252197 1.6239999532699585 0.08900000154972076
16.600000381469727 16.5 24.758399963378906 24.75480079650879 5.048399925231934 33.26539993286133 22.10650062561035 0.34599998593330383 3.9600000381469727 106.0 2.1659998893737793 1.6269999742507935 0.0989999994635582
17.100000381469727 17.0 24.757999420166016 24.75429916381836 5.049300193786621 33.27220153808594 22.111799240112305 0.4309999942779541 3.9210000038146973 98.4000015258789 2.131999969482422 1.652999997138977 0.10899999737739563
17.600000381469727 17.5 24.757299423217773 24.75349998474121 5.049900054931641 33.27750015258789 22.115999221801758 0.2919999957084656 3.874000072479248 88.30000305175781 2.0850000381469727 1.6469999551773071 0.12700000405311584
18.100000381469727 18.0 24.756500244140625 24.752599716186523 5.0503997802734375 33.28120040893555 22.11910057067871 0.3089999854564667 3.859999895095825 82.0 2.052999973297119 1.6169999837875366 0.12200000137090683

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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