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Dataset Title:  "LATEX CTD - d93g200.nc - 27.23N, 97.05W - 1993-11-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g200)
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: 59)
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   59 options
    depth ?  =  m   59 options
    temperature ?  =  degree_C   59 options
    potentialTemperature ?  =  degree_C   58 options
    conductivity ?  =  Siemens per meter   56 options
    salinity ?  =  PSU   59 options
    sigmat ?  =  kg m-3   57 options
    descentRate ?  =  meters per second   55 options
    transmission ?  =  percent   48 options
    par ?  =  umol m-2 s-1   1 option: 0.5099999904632568
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   49 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 20.77239990234375 20.77199935913086 4.537600040435791 32.33420181274414 22.528099060058594 -0.11800000071525574 3.8980000019073486 0.5099999904632568 0.0 1.3860000371932983 -9.0
2.5 2.5 20.765600204467773 20.765100479125977 4.536499977111816 32.32979965209961 22.526599884033203 0.3070000112056732 3.9010000228881836 0.5099999904632568 0.0 1.347000002861023 -9.0
3.0 3.0 20.760900497436523 20.760299682617188 4.535799980163574 32.327701568603516 22.52630043029785 0.5640000104904175 3.9019999504089355 0.5099999904632568 0.0 1.3569999933242798 -9.0
3.5 3.5 20.771299362182617 20.770599365234375 4.537300109863281 32.33209991455078 22.52680015563965 0.5580000281333923 3.9000000953674316 0.5099999904632568 0.0 1.3539999723434448 -9.0
4.0 4.0 20.77899932861328 20.77829933166504 4.538599967956543 32.336299896240234 22.527999877929688 0.6240000128746033 3.9000000953674316 0.5099999904632568 0.0 1.350000023841858 -9.0
4.5 4.5 20.79210090637207 20.79129981994629 4.540800094604492 32.34320068359375 22.529800415039062 0.6819999814033508 3.8980000019073486 0.5099999904632568 0.0 1.3559999465942383 -9.0
5.0 5.0 20.78689956665039 20.785900115966797 4.53980016708374 32.339698791503906 22.528600692749023 0.6850000023841858 3.8970000743865967 0.5099999904632568 0.0 1.378000020980835 -9.0
5.5 5.5 20.7898006439209 20.788700103759766 4.540299892425537 32.34120178222656 22.52899932861328 0.6600000262260437 3.8970000743865967 0.5099999904632568 0.0 1.406000018119812 -9.0
6.0 6.0 20.793899536132812 20.792699813842773 4.540900230407715 32.34270095825195 22.52899932861328 0.6240000128746033 3.8989999294281006 0.5099999904632568 0.0 1.3980000019073486 -9.0
6.5 6.5 20.793500900268555 20.792200088500977 4.540800094604492 32.34189987182617 22.528600692749023 0.6150000095367432 3.9000000953674316 0.5099999904632568 0.0 1.4079999923706055 -9.0
7.0 7.0 20.805299758911133 20.804000854492188 4.542900085449219 32.34939956665039 22.531099319458008 0.6359999775886536 3.8949999809265137 0.5099999904632568 0.0 1.406000018119812 -9.0
7.599999904632568 7.5 20.831600189208984 20.8302001953125 4.547299861907959 32.364498138427734 22.535600662231445 0.6549999713897705 3.884000062942505 0.5099999904632568 0.0 1.38100004196167 -9.0
8.100000381469727 8.0 20.861900329589844 20.86039924621582 4.552700042724609 32.3843994140625 22.542699813842773 0.6449999809265137 3.884000062942505 0.5099999904632568 0.0 1.3730000257492065 -9.0
8.600000381469727 8.5 20.92569923400879 20.924100875854492 4.565199851989746 32.43470001220703 22.56399917602539 0.5989999771118164 3.867000102996826 0.5099999904632568 0.0 1.3730000257492065 -9.0
9.100000381469727 9.0 21.031200408935547 21.029499053955078 4.5879998207092285 32.535301208496094 22.612199783325195 0.5680000185966492 3.8450000286102295 0.5099999904632568 0.0 1.3450000286102295 -9.0
9.600000381469727 9.5 21.303499221801758 21.301700592041016 4.648399829864502 32.80569839477539 22.744199752807617 0.6110000014305115 3.805000066757202 0.5099999904632568 0.0 1.3220000267028809 -9.0
10.100000381469727 10.0 21.49679946899414 21.494800567626953 4.707799911499023 33.12649917602539 22.93549919128418 0.6790000200271606 3.746999979019165 0.5099999904632568 0.0 1.3070000410079956 -9.0
10.600000381469727 10.5 21.487499237060547 21.48550033569336 4.731599807739258 33.32109832763672 23.085899353027344 0.7229999899864197 3.740000009536743 0.5099999904632568 0.0 1.3049999475479126 -9.0
11.100000381469727 11.0 21.500600814819336 21.49850082397461 4.747399806976318 33.4359016418457 23.169599533081055 0.7279999852180481 3.747999906539917 0.5099999904632568 0.0 1.3179999589920044 -9.0
11.600000381469727 11.5 21.47260093688965 21.470399856567383 4.746500015258789 33.45029830932617 23.188199996948242 0.7139999866485596 3.750999927520752 0.5099999904632568 0.0 1.3320000171661377 -9.0
12.100000381469727 12.0 21.431900024414062 21.42959976196289 4.744999885559082 33.46979904174805 23.21419906616211 0.6800000071525574 3.75 0.5099999904632568 0.0 1.347000002861023 -9.0
12.600000381469727 12.5 21.421899795532227 21.41939926147461 4.745500087738037 33.48149871826172 23.225900650024414 0.6169999837875366 3.7239999771118164 0.5099999904632568 0.0 1.3550000190734863 -9.0
13.100000381469727 13.0 21.420499801635742 21.417999267578125 4.737599849700928 33.419700622558594 23.17930030822754 0.5389999747276306 3.7130000591278076 0.5099999904632568 0.0 1.3890000581741333 -9.0
13.600000381469727 13.5 21.43910026550293 21.436500549316406 4.740799903869629 33.43080139160156 23.18269920349121 0.5120000243186951 3.7260000705718994 0.5099999904632568 0.0 1.4220000505447388 -9.0
14.100000381469727 14.0 21.50079917907715 21.49810028076172 4.759699821472168 33.531700134277344 23.24250030517578 0.5879999995231628 3.73799991607666 0.5099999904632568 0.0 1.5920000076293945 -9.0
14.600000381469727 14.5 21.534099578857422 21.531299591064453 4.769400119781494 33.581600189208984 23.271299362182617 0.7070000171661377 3.75 0.5099999904632568 0.0 1.5889999866485596 -9.0
15.100000381469727 15.0 21.536399841308594 21.53350067138672 4.770299911499023 33.587398529052734 23.275100708007812 0.7979999780654907 3.74399995803833 0.5099999904632568 0.0 1.6009999513626099 -9.0
15.600000381469727 15.5 21.537500381469727 21.534500122070312 4.772799968719482 33.60609817504883 23.289100646972656 0.8309999704360962 3.7290000915527344 0.5099999904632568 0.0 1.5959999561309814 -9.0
16.100000381469727 16.0 21.555200576782227 21.552099227905273 4.7795000076293945 33.644901275634766 23.31369972229004 0.7850000262260437 3.7100000381469727 0.5099999904632568 0.0 1.5729999542236328 -9.0
16.600000381469727 16.5 21.554399490356445 21.55120086669922 4.781599998474121 33.661800384521484 23.326900482177734 0.6690000295639038 3.694000005722046 0.5099999904632568 0.0 1.5709999799728394 -9.0
17.100000381469727 17.0 21.53860092163086 21.53529930114746 4.776599884033203 33.634498596191406 23.310400009155273 0.5009999871253967 3.6470000743865967 0.5099999904632568 0.0 1.656000018119812 -9.0
17.600000381469727 17.5 21.534700393676758 21.531299591064453 4.775400161743164 33.62770080566406 23.306400299072266 0.4230000078678131 3.617000102996826 0.5099999904632568 0.0 1.6460000276565552 -9.0
18.100000381469727 18.0 21.55030059814453 21.54680061340332 4.781700134277344 33.665199279785156 23.33060073852539 0.5199999809265137 3.6659998893737793 0.5099999904632568 0.0 1.6430000066757202 -9.0
18.600000381469727 18.5 21.57110023498535 21.5674991607666 4.788300037384033 33.70069885253906 23.351900100708008 0.6389999985694885 3.687999963760376 0.5099999904632568 0.0 1.652999997138977 -9.0
19.100000381469727 19.0 21.58180046081543 21.578100204467773 4.790200233459473 33.70750045776367 23.35420036315918 0.7070000171661377 3.696000099182129 0.5099999904632568 0.0 1.6679999828338623 -9.0
19.600000381469727 19.5 21.591699600219727 21.587900161743164 4.7916998863220215 33.71139907836914 23.35449981689453 0.6840000152587891 3.697999954223633 0.5099999904632568 0.0 1.6790000200271606 -9.0
20.100000381469727 20.0 21.595500946044922 21.59160041809082 4.791999816894531 33.710601806640625 23.352800369262695 0.5550000071525574 3.7019999027252197 0.5099999904632568 0.0 1.6699999570846558 -9.0
20.600000381469727 20.5 21.589599609375 21.585599899291992 4.790200233459473 33.70050048828125 23.346799850463867 0.38100001215934753 3.7039999961853027 0.5099999904632568 0.0 1.659999966621399 -9.0
21.100000381469727 21.0 21.660400390625 21.656299591064453 4.802800178527832 33.74440002441406 23.360700607299805 0.4790000021457672 3.7019999027252197 0.5099999904632568 0.0 1.6469999551773071 -9.0
21.600000381469727 21.5 21.722400665283203 21.71820068359375 4.813799858093262 33.78260040283203 23.372600555419922 0.675000011920929 3.6740000247955322 0.5099999904632568 0.0 1.659999966621399 -9.0
22.100000381469727 22.0 21.745500564575195 21.741199493408203 4.8180999755859375 33.79790115356445 23.377899169921875 0.7760000228881836 3.6730000972747803 0.5099999904632568 0.0 1.6670000553131104 -9.0
22.700000762939453 22.5 21.76490020751953 21.760499954223633 4.821300029754639 33.80780029296875 23.38010025024414 0.7620000243186951 3.6740000247955322 0.5099999904632568 0.0 1.6670000553131104 -9.0
23.200000762939453 23.0 21.76219940185547 21.757699966430664 4.821300029754639 33.809898376464844 23.38249969482422 0.5950000286102295 3.680000066757202 0.5099999904632568 0.0 1.6779999732971191 -9.0
23.700000762939453 23.5 21.739700317382812 21.73509979248047 4.817699909210205 33.79899978637695 23.38050079345703 0.33399999141693115 3.686000108718872 0.5099999904632568 0.0 1.6629999876022339 -9.0
24.200000762939453 24.0 21.81170082092285 21.80699920654297 4.8308000564575195 33.84510040283203 23.395599365234375 0.49900001287460327 3.684999942779541 0.5099999904632568 0.0 1.6859999895095825 -9.0
24.700000762939453 24.5 21.834699630737305 21.82990074157715 4.83519983291626 33.86140060424805 23.401599884033203 0.675000011920929 3.690000057220459 0.5099999904632568 0.0 1.6820000410079956 -9.0
25.200000762939453 25.0 21.839399337768555 21.834400177001953 4.836599826812744 33.86840057373047 23.40570068359375 0.7210000157356262 3.683000087738037 0.5099999904632568 0.0 1.6430000066757202 -9.0
25.700000762939453 25.5 21.82659912109375 21.82159996032715 4.83620023727417 33.8755989074707 23.41469955444336 0.6759999990463257 3.687000036239624 0.5099999904632568 0.0 1.6100000143051147 -9.0
26.200000762939453 26.0 21.771499633789062 21.766399383544922 4.832699775695801 33.89070129394531 23.4414005279541 0.5609999895095825 3.683000087738037 0.5099999904632568 0.0 1.5700000524520874 -9.0
26.700000762939453 26.5 21.76180076599121 21.75659942626953 4.835899829864502 33.92359924316406 23.469200134277344 0.47600001096725464 3.691999912261963 0.5099999904632568 0.0 1.5140000581741333 -9.0
27.200000762939453 27.0 21.735300064086914 21.729999542236328 4.836299896240234 33.94710159301758 23.494400024414062 0.5090000033378601 3.677000045776367 0.5099999904632568 0.0 1.4700000286102295 -9.0
27.700000762939453 27.5 21.78849983215332 21.783100128173828 4.849899768829346 34.01259994506836 23.529399871826172 0.5509999990463257 3.6740000247955322 0.5099999904632568 0.0 1.440000057220459 -9.0
28.200000762939453 28.0 21.9064998626709 21.90089988708496 4.868599891662598 34.066200256347656 23.537500381469727 0.5509999990463257 3.690000057220459 0.5099999904632568 0.0 1.4220000505447388 -9.0
28.700000762939453 28.5 21.974700927734375 21.9689998626709 4.883299827575684 34.12770080566406 23.56529998779297 0.4729999899864197 3.7079999446868896 0.5099999904632568 0.0 1.406000018119812 -9.0
29.200000762939453 29.0 22.035900115966797 22.030099868774414 4.895999908447266 34.1786003112793 23.58690071105957 0.41600000858306885 3.7009999752044678 0.5099999904632568 0.0 1.3669999837875366 -9.0
29.700000762939453 29.5 22.209299087524414 22.203399658203125 4.9278998374938965 34.29159927368164 23.62420082092285 0.46299999952316284 3.634999990463257 0.5099999904632568 0.0 1.3380000591278076 -9.0
30.200000762939453 30.0 22.233400344848633 22.227399826049805 4.93179988861084 34.302398681640625 23.625600814819336 0.25699999928474426 3.5999999046325684 0.5099999904632568 0.0 1.3450000286102295 -9.0
30.700000762939453 30.5 22.289199829101562 22.283100128173828 4.941400051116943 34.33340072631836 23.633499145507812 0.40400001406669617 3.322999954223633 0.5099999904632568 0.0 1.3070000410079956 -9.0
31.200000762939453 31.0 22.331499099731445 22.325300216674805 4.948599815368652 34.35599899291992 23.6387996673584 0.37599998712539673 3.188999891281128 0.5099999904632568 0.0 1.3200000524520874 -9.0

In total, there are 59 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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