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Dataset Title:  "LATEX CTD - d93g049.nc - 28.83N, 90.51W - 1993-11-10" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d93g049)
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: 28)
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   28 options
    depth ?  =  m   28 options
    temperature ?  =  degree_C   28 options
    potentialTemperature ?  =  degree_C   28 options
    conductivity ?  =  Siemens per meter   27 options
    salinity ?  =  PSU   27 options
    sigmat ?  =  kg m-3   28 options
    descentRate ?  =  meters per second   28 options
    transmission ?  =  percent   24 options
    par ?  =  umol m-2 s-1   4 options
    parv ?  =  volts   4 options
    fluorescence ?  =  volts   26 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
3.5 3.5 21.95509910583496 21.95479965209961 4.551599979400635 31.564800262451172 21.623899459838867 -0.2669999897480011 3.9679999351501465 0.7200000286102295 0.14399999380111694 1.8960000276565552 -9.0
4.0 4.0 21.94540023803711 21.94499969482422 4.549499988555908 31.555200576782227 21.619300842285156 0.753000020980835 3.9749999046325684 0.5600000023841858 0.03400000184774399 1.940999984741211 -9.0
4.5 4.5 21.94969940185547 21.949199676513672 4.5503997802734375 31.559099197387695 21.6210994720459 0.7639999985694885 3.9709999561309814 0.5199999809265137 0.0010000000474974513 1.906999945640564 -9.0
5.0 5.0 21.950300216674805 21.94969940185547 4.55049991607666 31.558900833129883 21.620800018310547 0.5889999866485596 3.9660000801086426 0.5099999904632568 0.0 1.930999994277954 -9.0
5.5 5.5 21.941999435424805 21.941299438476562 4.548900127410889 31.552900314331055 21.618499755859375 0.3529999852180481 3.9700000286102295 0.5099999904632568 0.0 2.0199999809265137 -9.0
6.0 6.0 21.938600540161133 21.93779945373535 4.5482001304626465 31.549999237060547 21.617300033569336 0.5429999828338623 3.9739999771118164 0.5099999904632568 0.0 1.9509999752044678 -9.0
6.5 6.5 21.94499969482422 21.94409942626953 4.549699783325195 31.556400299072266 21.620399475097656 0.6940000057220459 3.9709999561309814 0.5099999904632568 0.0 1.9559999704360962 -9.0
7.0 7.0 21.944799423217773 21.94379997253418 4.549699783325195 31.556400299072266 21.620500564575195 0.6840000152587891 3.9749999046325684 0.5099999904632568 0.0 2.069999933242798 -9.0
7.5 7.5 21.936500549316406 21.935400009155273 4.547800064086914 31.547800064086914 21.616300582885742 0.5180000066757202 3.9760000705718994 0.5099999904632568 0.0 2.0179998874664307 -9.0
8.0 8.0 21.949899673461914 21.948699951171875 4.551300048828125 31.564899444580078 21.625600814819336 0.32100000977516174 3.9649999141693115 0.5099999904632568 0.0 1.9789999723434448 -9.0
8.5 8.5 21.96430015563965 21.96299934387207 4.554500102996826 31.579200744628906 21.632600784301758 0.492000013589859 3.9679999351501465 0.5099999904632568 0.0 2.0269999504089355 -9.0
9.0 9.0 21.962299346923828 21.961000442504883 4.553999900817871 31.576200485229492 21.630800247192383 0.6430000066757202 3.953000068664551 0.5099999904632568 0.0 2.0759999752044678 -9.0
9.600000381469727 9.5 21.949600219726562 21.948200225830078 4.5507001876831055 31.560199737548828 21.62220001220703 0.6140000224113464 3.9489998817443848 0.5099999904632568 0.0 2.068000078201294 -9.0
10.100000381469727 10.0 21.95829963684082 21.95669937133789 4.553400039672852 31.573999404907227 21.630300521850586 0.46399998664855957 3.9489998817443848 0.5099999904632568 0.0 2.0369999408721924 -9.0
10.600000381469727 10.5 22.02120018005371 22.019500732421875 4.570400238037109 31.660200119018555 21.67840003967285 0.4399999976158142 3.944000005722046 0.5099999904632568 0.0 2.0260000228881836 -9.0
11.100000381469727 11.0 22.06559944152832 22.063899993896484 4.5817999839782715 31.71619987487793 21.70870018005371 0.5170000195503235 3.930000066757202 0.5099999904632568 0.0 2.009999990463257 -9.0
11.600000381469727 11.5 22.084199905395508 22.082300186157227 4.5883002281188965 31.752300262451172 21.731000900268555 0.4830000102519989 3.8970000743865967 0.5099999904632568 0.0 2.062999963760376 -9.0
12.100000381469727 12.0 22.147199630737305 22.145200729370117 4.607600212097168 31.85540008544922 21.791799545288086 0.37299999594688416 3.9030001163482666 0.5099999904632568 0.0 2.0269999504089355 -9.0
12.600000381469727 12.5 22.19379997253418 22.191699981689453 4.622499942779541 31.936199188232422 21.840200424194336 0.5080000162124634 3.809999942779541 0.5099999904632568 0.0 2.0260000228881836 -9.0
13.100000381469727 13.0 22.217199325561523 22.215099334716797 4.6305999755859375 31.981199264526367 21.867799758911133 0.6060000061988831 3.7149999141693115 0.5099999904632568 0.0 2.174999952316284 -9.0
13.600000381469727 13.5 22.280799865722656 22.278499603271484 4.6529998779296875 32.1072998046875 21.94580078125 0.5849999785423279 3.7049999237060547 0.5099999904632568 0.0 2.203000068664551 -9.0
14.100000381469727 14.0 22.35759925842285 22.355199813842773 4.678800106048584 32.249900817871094 22.032499313354492 0.5490000247955322 3.677000045776367 0.5099999904632568 0.0 2.1679999828338623 -9.0
14.600000381469727 14.5 22.439599990844727 22.43709945678711 4.709099769592285 32.422401428222656 22.140499114990234 0.5199999809265137 3.61899995803833 0.5099999904632568 0.0 2.1659998893737793 -9.0
15.100000381469727 15.0 22.515300750732422 22.512699127197266 4.736700057983398 32.57889938354492 22.237899780273438 0.3499999940395355 3.549999952316284 0.5099999904632568 0.0 2.3369998931884766 -9.0
15.600000381469727 15.5 22.568899154663086 22.566099166870117 4.757400035858154 32.69839859008789 22.313499450683594 0.49799999594688416 3.0880000591278076 0.5099999904632568 0.0 2.315999984741211 -9.0
16.100000381469727 16.0 22.62420082092285 22.621400833129883 4.776899814605713 32.806800842285156 22.38010025024414 0.7860000133514404 2.5759999752044678 0.5099999904632568 0.0 2.4049999713897705 -9.0
16.600000381469727 16.5 22.6299991607666 22.627099990844727 4.7789998054504395 32.818199157714844 22.387100219726562 0.8209999799728394 2.2660000324249268 0.5099999904632568 0.0 2.4040000438690186 -9.0
17.100000381469727 17.0 22.642900466918945 22.63990020751953 4.783400058746338 32.842201232910156 22.40169906616211 0.5830000042915344 2.2149999141693115 0.5099999904632568 0.0 2.437999963760376 -9.0

In total, there are 28 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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