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Dataset Title:  "NEGOM CTD - n7l03s00.nc - 30.16N, 88.09W - 1999-11-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l03s00)
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: 14)
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   14 options
    depth ?  =  m   14 options
    temperature ?  =  degree_C   14 options
    potentialTemperature ?  =  degree_C   14 options
    conductivity ?  =  Siemens per meter   14 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   14 options
    descentRate ?  =  meters per second   14 options
    transmission ?  =  percent   12 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   13 options
    backscattering ?  =  volts   13 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 20.8794002532959 20.878999710083008 4.538099765777588 32.252899169921875 22.436399459838867 -0.0949999988079071 4.283999919891357 -9.0 -9.0 1.0460000038146973 0.14399999380111694
2.5 2.5 20.871700286865234 20.871200561523438 4.536900043487549 32.24869918823242 22.435300827026367 0.2240000069141388 4.28000020980835 -9.0 -9.0 1.065000057220459 0.14100000262260437
3.0 3.0 20.87190055847168 20.871299743652344 4.536799907684326 32.248199462890625 22.434900283813477 0.15800000727176666 4.283999919891357 -9.0 -9.0 1.100000023841858 0.14000000059604645
3.5 3.5 20.87299919128418 20.872299194335938 4.5370001792907715 32.248199462890625 22.434600830078125 0.14100000262260437 4.2789998054504395 -9.0 -9.0 1.1039999723434448 0.13500000536441803
4.0 4.0 20.871400833129883 20.8705997467041 4.5366997718811035 32.24729919433594 22.43440055847168 0.17599999904632568 4.269000053405762 -9.0 -9.0 1.0540000200271606 0.1379999965429306
4.5 4.5 20.887100219726562 20.886199951171875 4.539599895477295 32.25830078125 22.438600540161133 0.15199999511241913 4.256999969482422 -9.0 -9.0 1.0670000314712524 0.14000000059604645
5.0 5.0 20.948999404907227 20.94809913635254 4.553699970245361 32.32350158691406 22.47170066833496 0.1469999998807907 4.269000053405762 -9.0 -9.0 1.0809999704360962 0.14800000190734863
5.5 5.5 20.979900360107422 20.978900909423828 4.5619001388549805 32.364601135253906 22.494699478149414 0.16300000250339508 4.23799991607666 -9.0 -9.0 1.100000023841858 0.17299999296665192
6.0 6.0 21.005199432373047 21.004100799560547 4.569699764251709 32.40729904174805 22.520299911499023 0.1679999977350235 4.195000171661377 -9.0 -9.0 1.1299999952316284 0.1979999989271164
6.5 6.5 21.020999908447266 21.019800186157227 4.575900077819824 32.444698333740234 22.544599533081055 0.20800000429153442 4.179999828338623 -9.0 -9.0 1.1729999780654907 0.21699999272823334
7.0 7.0 21.223100662231445 21.221799850463867 4.657199859619141 32.93439865112305 22.86240005493164 0.18400000035762787 4.052000045776367 -9.0 -9.0 1.1399999856948853 0.32600000500679016
7.599999904632568 7.5 21.290700912475586 21.2893009185791 4.687099933624268 33.11840057373047 22.98390007019043 0.1899999976158142 3.871000051498413 -9.0 -9.0 1.2269999980926514 0.4620000123977661
8.100000381469727 8.0 21.60849952697754 21.60689926147461 4.850800037384033 34.16400146484375 23.69179916381836 0.23600000143051147 3.4860000610351562 -9.0 -9.0 1.2920000553131104 0.5979999899864197
8.600000381469727 8.5 21.7278995513916 21.726200103759766 4.89900016784668 34.44990158081055 23.876100540161133 0.15700000524520874 3.1059999465942383 -9.0 -9.0 1.3550000190734863 2.075000047683716

In total, there are 14 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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