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Dataset Title:  "NEGOM CTD - n4l11s01.nc - 27.5N, 82.84W - 1998-11-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n4l11s01)
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: 15)
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   15 options
    depth ?  =  m   15 options
    temperature ?  =  degree_C   15 options
    potentialTemperature ?  =  degree_C   15 options
    conductivity ?  =  Siemens per meter   11 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   14 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   15 options
    parv ?  =  volts   15 options
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   11 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 23.748899459838867 23.74839973449707 5.081900119781494 34.27840042114258 23.169200897216797 0.14000000059604645 4.181000232696533 1629.0 3.4820001125335693 1.222000002861023 0.07699999958276749
3.0 3.0 23.754199981689453 23.753599166870117 5.082499980926514 34.278900146484375 23.168100357055664 0.23499999940395355 4.188000202178955 819.5 3.2100000381469727 1.2359999418258667 0.1120000034570694
3.5 3.5 23.743900299072266 23.743200302124023 5.081500053405762 34.279300689697266 23.17140007019043 0.17800000309944153 4.185999870300293 701.2000122070312 3.1410000324249268 1.225000023841858 0.1469999998807907
4.0 4.0 23.74139976501465 23.7406005859375 5.081299781799316 34.27939987182617 23.172199249267578 0.2280000001192093 4.177000045776367 565.0 3.0490000247955322 1.2369999885559082 0.13600000739097595
4.5 4.5 23.73349952697754 23.73259925842285 5.080599784851074 34.27980041503906 23.17490005493164 0.164000004529953 4.182000160217285 575.0999755859375 3.055000066757202 1.2690000534057617 0.14100000262260437
5.0 5.0 23.717199325561523 23.71619987487793 5.078999996185303 34.28020095825195 23.18000030517578 0.17599999904632568 4.178999900817871 489.29998779296875 2.984999895095825 1.281999945640564 0.1469999998807907
5.5 5.5 23.712200164794922 23.711000442504883 5.078499794006348 34.28030014038086 23.18160057067871 0.23199999332427979 4.184000015258789 446.0 2.946000099182129 1.2760000228881836 0.1420000046491623
6.0 6.0 23.710500717163086 23.709199905395508 5.078400135040283 34.28070068359375 23.18239974975586 0.1679999977350235 4.177999973297119 381.79998779296875 2.880000114440918 1.2940000295639038 0.14100000262260437
6.5 6.5 23.708999633789062 23.707599639892578 5.0782999992370605 34.28110122680664 23.18320083618164 0.17100000381469727 4.171000003814697 377.79998779296875 2.875 1.3650000095367432 0.13899999856948853
7.0 7.0 23.708200454711914 23.70669937133789 5.0782999992370605 34.28150177001953 23.183799743652344 0.16300000250339508 4.169000148773193 357.1000061035156 2.8510000705718994 1.399999976158142 0.14100000262260437
7.599999904632568 7.5 23.70599937438965 23.70439910888672 5.078199863433838 34.282501220703125 23.185100555419922 0.16599999368190765 4.173999786376953 309.8999938964844 2.7899999618530273 1.378000020980835 0.14300000667572021
8.100000381469727 8.0 23.704599380493164 23.702899932861328 5.078199863433838 34.283199310302734 23.186199188232422 0.15800000727176666 4.171999931335449 256.0 2.7049999237060547 1.3910000324249268 0.1459999978542328
8.600000381469727 8.5 23.702800750732422 23.701000213623047 5.078199863433838 34.284400939941406 23.187599182128906 0.164000004529953 4.172999858856201 253.39999389648438 2.703000068664551 1.3569999933242798 0.15600000321865082
9.100000381469727 9.0 23.70170021057129 23.699800491333008 5.0782999992370605 34.285701751708984 23.18899917602539 0.1860000044107437 4.173999786376953 228.5 2.6579999923706055 1.409999966621399 0.14100000262260437
9.600000381469727 9.5 23.702299118041992 23.700300216674805 5.07859992980957 34.28710174560547 23.189899444580078 -0.1850000023841858 4.177999973297119 225.5 2.6530001163482666 1.3760000467300415 0.12700000405311584

In total, there are 15 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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