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Dataset Title:  "NEGOM CTD - n1l10s01.nc - 28.61N, 83.06W - 1997-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l10s01)
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   15 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   11 options
    par ?  =  umol m-2 s-1   17 options
    parv ?  =  volts   17 options
    fluorescence ?  =  volts   15 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
2.0 2.0 18.936199188232422 18.935800552368164 4.49429988861084 33.41490173339844 23.826200485229492 0.10700000077486038 3.4019999504089355 357.79998779296875 2.694999933242798 1.8739999532699585 0.7789999842643738
2.5 2.5 18.96150016784668 18.96109962463379 4.496399879455566 33.411598205566406 23.817399978637695 0.21699999272823334 3.4089999198913574 230.39999389648438 2.51200008392334 1.8309999704360962 0.7770000100135803
3.0 3.0 18.91080093383789 18.91029930114746 4.491600036621094 33.41239929199219 23.830799102783203 0.2619999945163727 3.4000000953674316 193.60000610351562 2.440000057220459 1.8619999885559082 0.7580000162124634
3.5 3.5 18.884599685668945 18.884000778198242 4.488800048828125 33.4099006652832 23.835500717163086 0.17000000178813934 3.4130001068115234 163.5 2.365999937057495 1.9110000133514404 0.7910000085830688
4.0 4.0 18.8971004486084 18.896400451660156 4.490200042724609 33.41109848022461 23.83329963684082 0.21799999475479126 3.4070000648498535 143.5 2.309999942779541 1.9299999475479126 0.8230000138282776
4.5 4.5 18.881500244140625 18.880699157714844 4.4882001876831055 33.407501220703125 23.83449935913086 0.18799999356269836 3.4119999408721924 129.1999969482422 2.265000104904175 1.937999963760376 0.8100000023841858
5.0 5.0 18.87470054626465 18.87380027770996 4.487500190734863 33.40639877319336 23.835399627685547 0.1889999955892563 3.4170000553131104 113.9000015258789 2.2100000381469727 1.940000057220459 0.8669999837875366
5.5 5.5 18.868499755859375 18.86750030517578 4.486700057983398 33.40480041503906 23.835800170898438 0.21699999272823334 3.4170000553131104 101.0999984741211 2.1579999923706055 1.930999994277954 0.8709999918937683
6.0 6.0 18.863100051879883 18.86199951171875 4.485899925231934 33.40230178833008 23.8351993560791 0.1770000010728836 3.4200000762939453 87.9000015258789 2.0969998836517334 1.934999942779541 0.8489999771118164
6.5 6.5 18.861000061035156 18.859899520874023 4.4857001304626465 33.40190124511719 23.835500717163086 0.19300000369548798 3.4189999103546143 79.43000030517578 2.052999973297119 1.9329999685287476 0.8489999771118164
7.0 7.0 18.86389923095703 18.862699508666992 4.485799789428711 33.4005012512207 23.83370018005371 0.20399999618530273 3.4189999103546143 69.22000122070312 1.9930000305175781 1.9329999685287476 0.8709999918937683
7.599999904632568 7.5 18.8572998046875 18.856000900268555 4.484899997711182 33.398399353027344 23.83370018005371 0.18400000035762787 3.4200000762939453 61.04999923706055 1.9390000104904175 1.9390000104904175 0.8899999856948853
8.100000381469727 8.0 18.872600555419922 18.871200561523438 4.4868998527526855 33.401798248291016 23.832500457763672 0.2070000022649765 3.4210000038146973 52.369998931884766 1.871999979019165 1.9240000247955322 0.8730000257492065
8.600000381469727 8.5 18.854700088500977 18.853200912475586 4.484499931335449 33.39609909057617 23.832700729370117 0.164000004529953 3.421999931335449 45.880001068115234 1.815000057220459 1.9470000267028809 0.8840000033378601
9.100000381469727 9.0 18.82990074157715 18.82830047607422 4.481400012969971 33.390499114990234 23.8346004486084 0.1459999978542328 3.421999931335449 41.47999954223633 1.7710000276565552 1.9220000505447388 0.8870000243186951
9.600000381469727 9.5 18.833900451660156 18.832199096679688 4.4822001457214355 33.393798828125 23.836200714111328 0.16300000250339508 3.4210000038146973 36.84000015258789 1.7200000286102295 1.9119999408721924 0.9380000233650208
10.100000381469727 10.0 18.844600677490234 18.84280014038086 4.48390007019043 33.39899826049805 23.837499618530273 0.10000000149011612 3.421999931335449 31.520000457763672 1.6540000438690186 1.9329999685287476 0.9419999718666077

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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