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Dataset Title:  "LATEX CTD - d94j031.nc - 28.9N, 90.51W - 1994-11-04" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j031)
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: 23)
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   23 options
    depth ?  =  m   23 options
    temperature ?  =  degree_C   20 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   22 options
    sigmat ?  =  kg m-3   21 options
    descentRate ?  =  meters per second   23 options
    transmission ?  =  percent   21 options
    par ?  =  umol m-2 s-1   22 options
    parv ?  =  volts   23 options
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   15 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
2.5 2.5 24.208599090576172 24.208099365234375 4.892499923706055 32.51559829711914 21.70240020751953 0.3959999978542328 4.310999870300293 728.0 3.000999927520752 1.2380000352859497 0.04600000008940697
3.0 3.0 24.20840072631836 24.207700729370117 4.892600059509277 32.5161018371582 21.702899932861328 0.460999995470047 4.2769999504089355 566.0 2.8919999599456787 1.3279999494552612 0.05400000140070915
3.5 3.5 24.209699630737305 24.208999633789062 4.8927001953125 32.516300201416016 21.702600479125977 0.39399999380111694 4.283999919891357 561.0 2.888000011444092 1.2170000076293945 0.052000001072883606
4.0 4.0 24.20840072631836 24.207599639892578 4.8927001953125 32.51639938354492 21.70319938659668 0.34700000286102295 4.289000034332275 485.0 2.825000047683716 1.2139999866485596 0.05299999937415123
4.5 4.5 24.20800018310547 24.20709991455078 4.892600059509277 32.51620101928711 21.703100204467773 0.3160000145435333 4.295000076293945 536.0 2.868000030517578 1.2549999952316284 0.05000000074505806
5.0 5.0 24.207700729370117 24.20669937133789 4.892499923706055 32.51570129394531 21.702899932861328 0.31299999356269836 4.315999984741211 382.0 2.7209999561309814 1.222000002861023 0.04600000008940697
5.5 5.5 24.20789909362793 24.20680046081543 4.892600059509277 32.51620101928711 21.70319938659668 0.3370000123977661 4.341000080108643 341.0 2.671999931335449 1.2630000114440918 0.035999998450279236
6.0 6.0 24.20829963684082 24.20709991455078 4.8927998542785645 32.5166015625 21.703399658203125 0.3610000014305115 4.335999965667725 303.0 2.619999885559082 1.225000023841858 0.039000000804662704
6.5 6.5 24.20829963684082 24.207000732421875 4.8927998542785645 32.51679992675781 21.70359992980957 0.382999986410141 4.334000110626221 292.0 2.6050000190734863 1.225000023841858 0.039000000804662704
7.0 7.0 24.20870018005371 24.207199096679688 4.893799781799316 32.52349853515625 21.708599090576172 0.30799999833106995 4.335999965667725 237.0 2.513000011444092 1.2569999694824219 0.035999998450279236
7.599999904632568 7.5 24.208599090576172 24.207000732421875 4.893899917602539 32.52479934692383 21.7096004486084 0.3050000071525574 4.3379998207092285 233.0 2.50600004196167 1.378000020980835 0.035999998450279236
8.100000381469727 8.0 24.213899612426758 24.212200164794922 4.895999908447266 32.5359001159668 21.71649932861328 0.2070000022649765 4.330999851226807 210.0 2.4619998931884766 1.3229999542236328 0.03400000184774399
8.600000381469727 8.5 24.21500015258789 24.213199615478516 4.896299839019775 32.53779983520508 21.717599868774414 0.26600000262260437 4.321000099182129 196.0 2.430999994277954 1.3079999685287476 0.039000000804662704
9.100000381469727 9.0 24.215999603271484 24.214099884033203 4.896699905395508 32.53969955444336 21.718799591064453 0.32600000500679016 4.310999870300293 182.0 2.3989999294281006 1.2920000553131104 0.0430000014603138
9.600000381469727 9.5 24.21739959716797 24.21540069580078 4.89739990234375 32.543701171875 21.721500396728516 0.3100000023841858 4.311999797821045 167.0 2.3610000610351562 1.2929999828338623 0.039000000804662704
10.100000381469727 10.0 24.225099563598633 24.222999572753906 4.900000095367432 32.55739974975586 21.72960090637207 0.26499998569488525 4.302000045776367 167.0 2.361999988555908 1.3079999685287476 0.04399999976158142
10.600000381469727 10.5 24.22879981994629 24.226499557495117 4.901299953460693 32.5640983581543 21.733600616455078 0.289000004529953 4.291999816894531 145.0 2.299999952316284 1.3170000314712524 0.052000001072883606
11.100000381469727 11.0 24.231599807739258 24.229299545288086 4.902200222015381 32.56840133666992 21.736000061035156 0.4269999861717224 4.269000053405762 146.0 2.303999900817871 1.2960000038146973 0.052000001072883606
11.600000381469727 11.5 24.227100372314453 24.224700927734375 4.902200222015381 32.5718994140625 21.739999771118164 0.38999998569488525 4.245999813079834 136.0 2.2720000743865967 1.284000039100647 0.0560000017285347
12.100000381469727 12.0 24.184099197387695 24.18160057067871 4.898799896240234 32.57749938964844 21.756900787353516 0.593999981880188 4.201000213623047 117.0 2.2060000896453857 1.3029999732971191 0.06199999898672104
12.600000381469727 12.5 24.154600143432617 24.152000427246094 4.89739990234375 32.5880012512207 21.77359962463379 0.4860000014305115 4.10699987411499 114.0 2.196000099182129 1.340999960899353 0.0820000022649765
13.100000381469727 13.0 24.142799377441406 24.139999389648438 4.898099899291992 32.601898193359375 21.787599563598633 0.328000009059906 3.9489998817443848 91.4000015258789 2.0999999046325684 1.4570000171661377 0.125
13.600000381469727 13.5 24.14590072631836 24.14299964904785 4.8993000984191895 32.608699798583984 21.791900634765625 0.4749999940395355 3.867000102996826 93.0999984741211 2.1080000400543213 1.4919999837875366 0.14100000262260437

In total, there are 23 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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