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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n9l09s01.nc - 29.49N, 83.62W - 2000-00-04" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l09s01)
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: 16)
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   16 options
    depth ?  =  m   16 options
    temperature ?  =  degree_C   16 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   12 options
    salinity ?  =  PSU   14 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   9 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   10 options
    backscattering ?  =  volts   8 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 29.306400299072266 29.30579948425293 5.738100051879883 34.83810043334961 21.840099334716797 0.3240000009536743 3.9600000381469727 -9.0 -9.0 1.3700000047683716 0.21400000154972076
3.0 3.0 29.296899795532227 29.296199798583984 5.736599922180176 34.83430099487305 21.84040069580078 0.6169999837875366 3.9619998931884766 -9.0 -9.0 1.378000020980835 0.210999995470047
3.5 3.5 29.29680061340332 29.295900344848633 5.736599922180176 34.834598541259766 21.840700149536133 0.4090000092983246 3.9619998931884766 -9.0 -9.0 1.3580000400543213 0.210999995470047
4.0 4.0 29.2987003326416 29.297700881958008 5.736999988555908 34.835899353027344 21.841100692749023 0.5929999947547913 3.9619998931884766 -9.0 -9.0 1.36899995803833 0.20800000429153442
4.5 4.5 29.299400329589844 29.29829978942871 5.736999988555908 34.83539962768555 21.840499877929688 0.4009999930858612 3.9660000801086426 -9.0 -9.0 1.3680000305175781 0.210999995470047
5.0 5.0 29.293699264526367 29.292499542236328 5.736299991607666 34.83420181274414 21.84160041809082 0.49300000071525574 3.9630000591278076 -9.0 -9.0 1.3609999418258667 0.21299999952316284
5.5 5.5 29.296100616455078 29.2947998046875 5.736700057983398 34.834999084472656 21.841400146484375 0.3919999897480011 3.9600000381469727 -9.0 -9.0 1.3609999418258667 0.21299999952316284
6.0 6.0 29.29840087890625 29.296899795532227 5.736999988555908 34.835201263427734 21.84079933166504 0.3199999928474426 3.9619998931884766 -9.0 -9.0 1.3639999628067017 0.21400000154972076
6.5 6.5 29.302200317382812 29.300600051879883 5.737500190734863 34.83580017089844 21.84000015258789 0.24400000274181366 3.9630000591278076 -9.0 -9.0 1.3569999933242798 0.2150000035762787
7.0 7.0 29.302600860595703 29.300899505615234 5.737500190734863 34.835201263427734 21.839500427246094 0.2669999897480011 3.9630000591278076 -9.0 -9.0 1.3639999628067017 0.21400000154972076
7.599999904632568 7.5 29.305200576782227 29.30340003967285 5.7378997802734375 34.835899353027344 21.83919906616211 0.17299999296665192 3.9609999656677246 -9.0 -9.0 1.3609999418258667 0.2160000056028366
8.100000381469727 8.0 29.315200805664062 29.313199996948242 5.739699840545654 34.84120178222656 21.839799880981445 0.257999986410141 3.9590001106262207 -9.0 -9.0 1.3580000400543213 0.210999995470047
8.600000381469727 8.5 29.319400787353516 29.31730079650879 5.740699768066406 34.84469985961914 21.841100692749023 0.19599999487400055 3.9579999446868896 -9.0 -9.0 1.3680000305175781 0.2150000035762787
9.100000381469727 9.0 29.325700759887695 29.32349967956543 5.742199897766113 34.85049819946289 21.843399047851562 0.1809999942779541 3.88700008392334 -9.0 -9.0 1.3519999980926514 0.2160000056028366
9.600000381469727 9.5 29.33810043334961 29.335800170898438 5.744999885559082 34.86009979248047 21.846500396728516 0.164000004529953 3.940000057220459 -9.0 -9.0 1.3569999933242798 0.22499999403953552
10.100000381469727 10.0 29.344900131225586 29.34239959716797 5.746600151062012 34.86589813232422 21.848600387573242 0.13099999725818634 3.9609999656677246 -9.0 -9.0 1.3480000495910645 0.21899999678134918

In total, there are 16 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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