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Dataset Title:  "NEGOM CTD - n3l04s01.nc - 30.22N, 87.35W - 1998-00-04" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n3l04s01)
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: 36)
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   36 options
    depth ?  =  m   36 options
    temperature ?  =  degree_C   36 options
    potentialTemperature ?  =  degree_C   36 options
    conductivity ?  =  Siemens per meter   35 options
    salinity ?  =  PSU   36 options
    sigmat ?  =  kg m-3   35 options
    descentRate ?  =  meters per second   35 options
    transmission ?  =  percent   35 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   30 options
    backscattering ?  =  volts   33 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
3.0 3.0 28.311199188232422 28.31049919128418 5.348800182342529 32.86909866333008 20.692100524902344 0.3440000116825104 3.628999948501587 -9.0 -9.0 1.4299999475479126 0.4390000104904175
3.5 3.5 28.331499099731445 28.330699920654297 5.3572998046875 32.91320037841797 20.718599319458008 0.34200000762939453 3.632999897003174 -9.0 -9.0 1.4299999475479126 0.4480000138282776
4.0 4.0 28.372499465942383 28.37150001525879 5.374300003051758 33.002498626708984 20.772300720214844 0.5049999952316284 3.6519999504089355 -9.0 -9.0 1.4299999475479126 0.4480000138282776
4.5 4.5 28.394899368286133 28.393800735473633 5.383299827575684 33.04880142211914 20.799699783325195 0.2370000034570694 3.6670000553131104 -9.0 -9.0 1.4290000200271606 0.4560000002384186
5.0 5.0 28.43560028076172 28.43440055847168 5.406000137329102 33.17649841308594 20.882299423217773 0.33899998664855957 3.703000068664551 -9.0 -9.0 1.4220000505447388 0.4440000057220459
5.5 5.5 28.47260093688965 28.47130012512207 5.429599761962891 33.313499450683594 20.973100662231445 0.30000001192092896 3.760999917984009 -9.0 -9.0 1.4199999570846558 0.4269999861717224
6.0 6.0 28.518199920654297 28.516799926757812 5.491099834442139 33.7052001953125 21.252099990844727 0.2070000022649765 3.861999988555908 -9.0 -9.0 1.3680000305175781 0.3790000081062317
6.5 6.5 28.517099380493164 28.515499114990234 5.601099967956543 34.46699905395508 21.82469940185547 0.3140000104904175 3.9719998836517334 -9.0 -9.0 1.3389999866485596 0.3319999873638153
7.0 7.0 28.380399703979492 28.378700256347656 5.633299827575684 34.79029846191406 22.11280059814453 0.210999995470047 4.017000198364258 -9.0 -9.0 1.2979999780654907 0.30300000309944153
7.599999904632568 7.5 28.209999084472656 28.208200454711914 5.678999900817871 35.23509979248047 22.50320053100586 0.24799999594688416 4.0879998207092285 -9.0 -9.0 1.2740000486373901 0.257999986410141
8.100000381469727 8.0 28.121700286865234 28.119800567626953 5.686800003051758 35.35530090332031 22.622600555419922 0.2460000067949295 4.070000171661377 -9.0 -9.0 1.2899999618530273 0.25999999046325684
8.600000381469727 8.5 28.098100662231445 28.096099853515625 5.691400051116943 35.405399322509766 22.668100357055664 0.29600000381469727 4.047999858856201 -9.0 -9.0 1.3229999542236328 0.23999999463558197
9.100000381469727 9.0 28.090900421142578 28.08880043029785 5.691699981689453 35.412601470947266 22.675899505615234 0.21299999952316284 4.038000106811523 -9.0 -9.0 1.3630000352859497 0.2680000066757202
9.600000381469727 9.5 28.088499069213867 28.086200714111328 5.691400051116943 35.412200927734375 22.67639923095703 0.45899999141693115 4.0269999504089355 -9.0 -9.0 1.3880000114440918 0.2879999876022339
10.100000381469727 10.0 28.076900482177734 28.074499130249023 5.689899921417236 35.410499572753906 22.67889976501465 0.382999986410141 4.019000053405762 -9.0 -9.0 1.38100004196167 0.2939999997615814
10.600000381469727 10.5 28.0585994720459 28.056100845336914 5.688300132751465 35.412899017333984 22.686800003051758 0.48100000619888306 4.010000228881836 -9.0 -9.0 1.402999997138977 0.3089999854564667
11.100000381469727 11.0 28.059200286865234 28.05660057067871 5.688600063323975 35.41419982910156 22.687700271606445 0.5820000171661377 3.997999906539917 -9.0 -9.0 1.406000018119812 0.32499998807907104
11.600000381469727 11.5 28.05419921875 28.05150032043457 5.687900066375732 35.41320037841797 22.688600540161133 0.36000001430511475 4.0 -9.0 -9.0 1.406999945640564 0.3370000123977661
12.100000381469727 12.0 28.05120086669922 28.04829978942871 5.6875 35.41189956665039 22.688600540161133 0.49000000953674316 4.004000186920166 -9.0 -9.0 1.406999945640564 0.3370000123977661
12.600000381469727 12.5 28.0398006439209 28.036800384521484 5.6859002113342285 35.4093017578125 22.690399169921875 0.31200000643730164 4.00600004196167 -9.0 -9.0 1.399999976158142 0.3580000102519989
13.100000381469727 13.0 28.024999618530273 28.021900177001953 5.684299945831299 35.409400939941406 22.69540023803711 0.32100000977516174 3.994999885559082 -9.0 -9.0 1.4179999828338623 0.3790000081062317
13.600000381469727 13.5 28.013399124145508 28.01020050048828 5.683800220489502 35.41389846801758 22.702600479125977 0.2919999957084656 3.996000051498413 -9.0 -9.0 1.4220000505447388 0.3720000088214874
14.100000381469727 14.0 27.997100830078125 27.993799209594727 5.6828999519348145 35.419700622558594 22.712299346923828 0.19200000166893005 3.999000072479248 -9.0 -9.0 1.4320000410079956 0.3779999911785126
14.600000381469727 14.5 27.979900360107422 27.976499557495117 5.68310022354126 35.43410110473633 22.72879981994629 0.289000004529953 4.013999938964844 -9.0 -9.0 1.4229999780654907 0.37400001287460327
15.100000381469727 15.0 27.96969985961914 27.966100692749023 5.683599948883057 35.445098876953125 22.74049949645996 0.2409999966621399 4.031000137329102 -9.0 -9.0 1.4190000295639038 0.3619999885559082
15.600000381469727 15.5 27.94809913635254 27.944400787353516 5.6819000244140625 35.44919967651367 22.750699996948242 0.289000004529953 4.044000148773193 -9.0 -9.0 1.4279999732971191 0.3449999988079071
16.100000381469727 16.0 27.93910026550293 27.935300827026367 5.680699825286865 35.44729995727539 22.752199172973633 0.4009999930858612 4.048999786376953 -9.0 -9.0 1.406000018119812 0.3269999921321869
16.600000381469727 16.5 27.92340087890625 27.91950035095215 5.678599834442139 35.44459915161133 22.755399703979492 0.23399999737739563 4.041999816894531 -9.0 -9.0 1.4229999780654907 0.33500000834465027
17.100000381469727 17.0 27.89780044555664 27.893800735473633 5.676000118255615 35.44540023803711 22.764400482177734 0.3799999952316284 4.025000095367432 -9.0 -9.0 1.4329999685287476 0.34200000762939453
17.600000381469727 17.5 27.85420036315918 27.850099563598633 5.672500133514404 35.45309829711914 22.784500122070312 0.4180000126361847 4.03000020980835 -9.0 -9.0 1.440000057220459 0.3330000042915344
18.100000381469727 18.0 27.781600952148438 27.77739906311035 5.667900085449219 35.475399017333984 22.824899673461914 0.1979999989271164 4.026000022888184 -9.0 -9.0 1.440999984741211 0.3409999907016754
18.600000381469727 18.5 27.67690086364746 27.672500610351562 5.658100128173828 35.485801696777344 22.86680030822754 0.3569999933242798 4.0329999923706055 -9.0 -9.0 1.434000015258789 0.3199999928474426
19.100000381469727 19.0 27.638500213623047 27.634000778198242 5.653900146484375 35.484500885009766 22.878400802612305 0.3869999945163727 4.008999824523926 -9.0 -9.0 1.444000005722046 0.33399999141693115
19.600000381469727 19.5 27.609800338745117 27.605199813842773 5.651000022888184 35.485599517822266 22.888599395751953 0.21699999272823334 4.033999919891357 -9.0 -9.0 1.4559999704360962 0.3479999899864197
20.100000381469727 20.0 27.600400924682617 27.595699310302734 5.650100231170654 35.486000061035156 22.892000198364258 0.34700000286102295 4.03000020980835 -9.0 -9.0 1.4570000171661377 0.32600000500679016
20.600000381469727 20.5 27.54490089416504 27.54010009765625 5.644400119781494 35.48759841918945 22.91119956970215 0.10599999874830246 4.021999835968018 -9.0 -9.0 1.4620000123977661 0.30399999022483826

In total, there are 36 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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