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Dataset Title:  "LATEX CTD - d94h037.nc - 28.84N, 92.0W - 1994-04-28" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94h037)
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: 45)
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   45 options
    depth ?  =  m   45 options
    temperature ?  =  degree_C   45 options
    potentialTemperature ?  =  degree_C   45 options
    conductivity ?  =  Siemens per meter   45 options
    salinity ?  =  PSU   43 options
    sigmat ?  =  kg m-3   44 options
    descentRate ?  =  meters per second   45 options
    transmission ?  =  percent   43 options
    par ?  =  umol m-2 s-1   8 options
    parv ?  =  volts   9 options
    fluorescence ?  =  volts   42 options
    backscattering ?  =  volts   32 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
1.5 1.5 23.292699813842773 23.292400360107422 5.202199935913086 35.562198638916016 24.27669906616211 -0.23899999260902405 4.078999996185303 1.4600000381469727 0.4959999918937683 0.24699999392032623 0.07100000232458115
2.0 2.0 23.289100646972656 23.288700103759766 5.202400207519531 35.56629943847656 24.2810001373291 0.4449999928474426 4.129000186920166 1.1399999856948853 0.3869999945163727 0.24899999797344208 0.0989999994635582
2.5 2.5 23.31290054321289 23.312400817871094 5.2129998207092285 35.62820053100586 24.320899963378906 0.46700000762939453 4.173999786376953 0.6100000143051147 0.11900000274181366 0.2370000034570694 0.07999999821186066
3.0 3.0 23.354299545288086 23.353700637817383 5.236199855804443 35.77289962768555 24.418500900268555 0.5600000023841858 4.333000183105469 0.5199999809265137 0.04399999976158142 0.2160000056028366 0.028999999165534973
3.5 3.5 23.395700454711914 23.395000457763672 5.259399890899658 35.917301177978516 24.516000747680664 0.7549999952316284 4.355999946594238 0.6800000071525574 0.16300000250339508 0.164000004529953 0.023000000044703484
4.0 4.0 23.388700485229492 23.38789939880371 5.267000198364258 35.98189926147461 24.5669002532959 0.953000009059906 4.36299991607666 0.6299999952316284 0.13199999928474426 0.16200000047683716 0.02199999988079071
4.5 4.5 23.38170051574707 23.380800247192383 5.274700164794922 36.0463981628418 24.618000030517578 0.9739999771118164 4.366000175476074 0.49000000953674316 0.02199999988079071 0.1589999943971634 0.023000000044703484
5.0 5.0 23.365100860595703 23.364099502563477 5.273799896240234 36.052799224853516 24.627700805664062 0.8220000267028809 4.368000030517578 0.4699999988079071 0.004999999888241291 0.15700000524520874 0.023000000044703484
5.5 5.5 23.344200134277344 23.34309959411621 5.2708001136779785 36.04669952392578 24.629199981689453 0.43700000643730164 4.357999801635742 0.4699999988079071 0.0 0.16300000250339508 0.020999999716877937
6.0 6.0 23.346500396728516 23.345199584960938 5.269400119781494 36.033599853515625 24.618499755859375 0.5460000038146973 4.353000164031982 0.4699999988079071 0.0 0.16699999570846558 0.023000000044703484
6.5 6.5 23.335399627685547 23.333999633789062 5.269499778747559 36.04359817504883 24.62929916381836 0.6589999794960022 4.360000133514404 0.4699999988079071 0.0 0.16300000250339508 0.02199999988079071
7.0 7.0 23.317899703979492 23.3164005279541 5.2677998542785645 36.044498443603516 24.635099411010742 0.652999997138977 4.355000019073486 0.4699999988079071 0.0 0.15399999916553497 0.02199999988079071
7.599999904632568 7.5 23.30030059814453 23.2987003326416 5.26609992980957 36.0452995300293 24.64069938659668 0.49300000071525574 4.361999988555908 0.4699999988079071 0.0 0.15299999713897705 0.02199999988079071
8.100000381469727 8.0 23.24970054626465 23.24799919128418 5.258999824523926 36.03239822387695 24.645999908447266 0.35899999737739563 4.36299991607666 0.4699999988079071 0.0 0.17800000309944153 0.02199999988079071
8.600000381469727 8.5 23.065900802612305 23.06410026550293 5.239799976348877 36.03390121459961 24.70039939880371 0.5619999766349792 4.35099983215332 0.4699999988079071 0.0 0.18400000035762787 0.02199999988079071
9.100000381469727 9.0 22.981700897216797 22.979799270629883 5.23330020904541 36.052799224853516 24.739099502563477 0.6600000262260437 4.34499979019165 0.4699999988079071 0.0 0.19099999964237213 0.02199999988079071
9.600000381469727 9.5 22.96940040588379 22.96739959716797 5.2316999435424805 36.05070114135742 24.741100311279297 0.5950000286102295 4.34499979019165 0.4699999988079071 0.0 0.20100000500679016 0.02199999988079071
10.100000381469727 10.0 22.93589973449707 22.933799743652344 5.227200031280518 36.04309844970703 24.745100021362305 0.3709999918937683 4.3420000076293945 0.4699999988079071 0.0 0.20600000023841858 0.02500000037252903
10.600000381469727 10.5 22.88960075378418 22.887399673461914 5.222099781036377 36.04079818725586 24.756799697875977 0.47699999809265137 4.343999862670898 0.4699999988079071 0.0 0.2280000001192093 0.024000000208616257
11.100000381469727 11.0 22.866899490356445 22.864599227905273 5.219200134277344 36.03730010986328 24.76059913635254 0.8479999899864197 4.329999923706055 0.4699999988079071 0.0 0.2280000001192093 0.023000000044703484
11.600000381469727 11.5 22.855100631713867 22.852699279785156 5.218100070953369 36.03770065307617 24.764299392700195 1.0180000066757202 4.322000026702881 0.4699999988079071 0.0 0.23800000548362732 0.02500000037252903
12.100000381469727 12.0 22.85300064086914 22.850500106811523 5.217800140380859 36.03770065307617 24.764999389648438 1.034000039100647 4.315999984741211 0.4699999988079071 0.0 0.24699999392032623 0.026000000536441803
12.600000381469727 12.5 22.846599578857422 22.8439998626709 5.216800212860107 36.034400939941406 24.764299392700195 0.8579999804496765 4.310999870300293 0.4699999988079071 0.0 0.24799999594688416 0.026000000536441803
13.100000381469727 13.0 22.817800521850586 22.815099716186523 5.213099956512451 36.02939987182617 24.768800735473633 0.7139999866485596 4.293000221252441 0.4699999988079071 0.0 0.2630000114440918 0.027000000700354576
13.600000381469727 13.5 22.786500930786133 22.783700942993164 5.209199905395508 36.024600982666016 24.774200439453125 1.222000002861023 4.269000053405762 0.4699999988079071 0.0 0.2939999997615814 0.029999999329447746
14.100000381469727 14.0 22.751699447631836 22.74880027770996 5.204699993133545 36.01839828491211 24.779399871826172 1.25 4.26800012588501 0.4699999988079071 0.0 0.3100000023841858 0.03200000151991844
14.600000381469727 14.5 22.721200942993164 22.71820068359375 5.201300144195557 36.016998291015625 24.787099838256836 1.1729999780654907 4.250999927520752 0.4699999988079071 0.0 0.33799999952316284 0.032999999821186066
15.100000381469727 15.0 22.635400772094727 22.632299423217773 5.191400051116943 36.00960159301758 24.805999755859375 0.925000011920929 4.204999923706055 0.4699999988079071 0.0 0.3540000021457672 0.03799999877810478
15.600000381469727 15.5 22.489999771118164 22.486900329589844 5.176000118255615 36.0098991394043 24.847900390625 0.6779999732971191 4.0879998207092285 0.4699999988079071 0.0 0.4300000071525574 0.039000000804662704
16.100000381469727 16.0 22.3700008392334 22.36680030822754 5.162700176239014 36.00419998168945 24.877899169921875 0.9300000071525574 3.990000009536743 0.4699999988079071 0.0 0.5320000052452087 0.04500000178813934
16.600000381469727 16.5 22.332799911499023 22.329500198364258 5.159299850463867 36.00830078125 24.891599655151367 1.0080000162124634 3.934000015258789 0.4699999988079071 0.0 0.5690000057220459 0.06599999964237213
17.100000381469727 17.0 22.288000106811523 22.28459930419922 5.1545000076293945 36.007598876953125 24.903799057006836 1.0549999475479126 3.8499999046325684 0.4699999988079071 0.0 0.5989999771118164 0.08500000089406967
17.600000381469727 17.5 22.18829917907715 22.184799194335938 5.14139986038208 35.98699951171875 24.916400909423828 1.0169999599456787 3.7660000324249268 0.4699999988079071 0.0 0.628000020980835 0.10499999672174454
18.100000381469727 18.0 22.08679962158203 22.083200454711914 5.129199981689453 35.975101470947266 24.93589973449707 0.7870000004768372 3.7760000228881836 0.4699999988079071 0.0 0.675000011920929 0.11500000208616257
18.600000381469727 18.5 22.040599822998047 22.03689956665039 5.123799800872803 35.970699310302734 24.94569969177246 0.9779999852180481 3.815000057220459 0.4699999988079071 0.0 0.7480000257492065 0.10100000351667404
19.100000381469727 19.0 22.013700485229492 22.009899139404297 5.119999885559082 35.96260070800781 24.947099685668945 1.5549999475479126 3.865999937057495 0.4699999988079071 0.0 0.7749999761581421 0.09200000017881393
19.600000381469727 19.5 21.940799713134766 21.936899185180664 5.110499858856201 35.94810104370117 24.95669937133789 1.4149999618530273 3.884999990463257 0.4699999988079071 0.0 0.8009999990463257 0.09300000220537186
20.100000381469727 20.0 21.827499389648438 21.82349967956543 5.097300052642822 35.937400817871094 24.980199813842773 1.0019999742507935 3.9000000953674316 0.4699999988079071 0.0 0.8519999980926514 0.09099999815225601
20.600000381469727 20.5 21.756799697875977 21.752700805664062 5.096700191497803 35.99150085449219 25.041000366210938 1.027999997138977 3.8610000610351562 0.4699999988079071 0.0 0.9909999966621399 0.08299999684095383
21.100000381469727 21.0 21.50979995727539 21.505699157714844 5.07450008392334 36.02159881591797 25.13290023803711 1.128000020980835 3.390000104904175 0.4699999988079071 0.0 1.0670000314712524 0.0949999988079071
21.600000381469727 21.5 21.45870018005371 21.454500198364258 5.0725998878479 36.04859924316406 25.167499542236328 0.7210000157356262 3.1589999198913574 0.4699999988079071 0.0 1.1390000581741333 0.13500000536441803
22.100000381469727 22.0 21.42569923400879 21.42140007019043 5.070700168609619 36.06100082397461 25.186199188232422 0.8169999718666077 3.0320000648498535 0.4699999988079071 0.0 1.2319999933242798 0.20200000703334808
22.700000762939453 22.5 21.42609977722168 21.42169952392578 5.070799827575684 36.0619010925293 25.186800003051758 0.6890000104904175 2.997999906539917 0.4699999988079071 0.0 1.25600004196167 0.2680000066757202
23.200000762939453 23.0 21.442100524902344 21.437599182128906 5.072800159454346 36.06370162963867 25.183700561523438 0.2879999876022339 2.9690001010894775 0.4699999988079071 0.0 1.2649999856948853 0.3240000009536743
23.700000762939453 23.5 21.43000030517578 21.425399780273438 5.071899890899658 36.06639862060547 25.18910026550293 0.3059999942779541 2.9539999961853027 0.4699999988079071 0.0 1.284000039100647 0.3330000042915344

In total, there are 45 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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