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Dataset Title:  "NEGOM CTD - n1l11s01.nc - 27.5N, 82.81W - 1997-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l11s01)
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: 17)
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   17 options
    depth ?  =  m   17 options
    temperature ?  =  degree_C   17 options
    potentialTemperature ?  =  degree_C   17 options
    conductivity ?  =  Siemens per meter   17 options
    salinity ?  =  PSU   17 options
    sigmat ?  =  kg m-3   17 options
    descentRate ?  =  meters per second   15 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   16 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 20.046899795532227 20.046300888061523 4.711599826812744 34.30419921875 24.218900680541992 0.17000000178813934 3.312000036239624 -9.0 -9.0 1.5709999799728394 1.4550000429153442
3.5 3.5 20.072799682617188 20.072200775146484 4.71589994430542 34.31800079345703 24.22260093688965 0.19200000166893005 3.309000015258789 -9.0 -9.0 1.5870000123977661 1.4830000400543213
4.0 4.0 20.098600387573242 20.097900390625 4.720399856567383 34.333900451660156 24.2278995513916 0.18700000643730164 3.313999891281128 -9.0 -9.0 1.5889999866485596 1.4980000257492065
4.5 4.5 20.107999801635742 20.107200622558594 4.7230000495910645 34.34709930419922 24.235599517822266 0.19599999487400055 3.318000078201294 -9.0 -9.0 1.5959999561309814 1.4620000123977661
5.0 5.0 20.11910057067871 20.118200302124023 4.725399971008301 34.357200622558594 24.240400314331055 0.17000000178813934 3.318000078201294 -9.0 -9.0 1.5779999494552612 1.4830000400543213
5.5 5.5 20.1299991607666 20.128999710083008 4.72730016708374 34.36370086669922 24.24250030517578 0.18000000715255737 3.322000026702881 -9.0 -9.0 1.5809999704360962 1.465999960899353
6.0 6.0 20.153600692749023 20.15250015258789 4.7332000732421875 34.391998291015625 24.25779914855957 0.1899999976158142 3.3310000896453857 -9.0 -9.0 1.5870000123977661 1.4240000247955322
6.5 6.5 20.162599563598633 20.161399841308594 4.7347002029418945 34.397300720214844 24.259599685668945 0.16200000047683716 3.3259999752044678 -9.0 -9.0 1.5959999561309814 1.437999963760376
7.0 7.0 20.104000091552734 20.102699279785156 4.722599983215332 34.346099853515625 24.236000061035156 0.1979999989271164 3.4010000228881836 -9.0 -9.0 1.593999981880188 1.4529999494552612
7.599999904632568 7.5 20.428199768066406 20.426799774169922 4.800000190734863 34.71030044555664 24.42770004272461 0.19499999284744263 3.4809999465942383 -9.0 -9.0 1.6779999732971191 1.312999963760376
8.100000381469727 8.0 20.571300506591797 20.569799423217773 4.832399845123291 34.85499954223633 24.49970054626465 0.17100000381469727 3.5409998893737793 -9.0 -9.0 1.6749999523162842 1.218999981880188
8.600000381469727 8.5 20.73889923095703 20.737300872802734 4.870699882507324 35.026798248291016 24.585500717163086 0.18700000643730164 3.559999942779541 -9.0 -9.0 1.6469999551773071 1.2960000038146973
9.100000381469727 9.0 20.865999221801758 20.864299774169922 4.899199962615967 35.1515007019043 24.646099090576172 0.1509999930858612 3.556999921798706 -9.0 -9.0 1.6369999647140503 1.281999945640564
9.600000381469727 9.5 20.911699295043945 20.909900665283203 4.909900188446045 35.19969940185547 24.670499801635742 0.20600000023841858 3.562000036239624 -9.0 -9.0 1.621999979019165 1.2510000467300415
10.100000381469727 10.0 20.91510009765625 20.91320037841797 4.910600185394287 35.20240020751953 24.671600341796875 0.16599999368190765 3.569999933242798 -9.0 -9.0 1.621000051498413 1.3220000267028809
10.600000381469727 10.5 20.919300079345703 20.917299270629883 4.911499977111816 35.20610046386719 24.67340087890625 0.1770000010728836 3.565999984741211 -9.0 -9.0 1.6510000228881836 1.3250000476837158
11.100000381469727 11.0 20.934799194335938 20.93269920349121 4.914899826049805 35.22010040283203 24.679800033569336 0.18400000035762787 3.5399999618530273 -9.0 -9.0 1.6299999952316284 1.3660000562667847

In total, there are 17 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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