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Dataset Title:  "NEGOM CTD - n2l07s00.nc - 29.74N, 85.42W - 1998-05-11" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n2l07s00)
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: 13)
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   13 options
    depth ?  =  m   13 options
    temperature ?  =  degree_C   13 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   13 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   13 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   11 options
    par ?  =  umol m-2 s-1   13 options
    parv ?  =  volts   13 options
    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
3.0 3.0 24.87980079650879 24.879199981689453 4.999899864196777 32.81890106201172 21.730199813842773 0.2840000092983246 2.7939999103546143 301.70001220703125 2.628000020980835 1.496999979019165 1.434999942779541
3.5 3.5 24.881399154663086 24.880599975585938 5.0 32.81840133666992 21.729299545288086 0.27799999713897705 2.815999984741211 154.0 2.3440001010894775 1.5140000581741333 1.4129999876022339
4.0 4.0 24.887699127197266 24.88680076599121 5.00029993057251 32.815799713134766 21.72559928894043 0.17499999701976776 2.815000057220459 133.1999969482422 2.2769999504089355 1.531000018119812 1.3940000534057617
4.5 4.5 24.882099151611328 24.881099700927734 5.000100135803223 32.81769943237305 21.728700637817383 0.3019999861717224 2.812999963760376 109.9000015258789 2.193000078201294 1.5410000085830688 1.378000020980835
5.0 5.0 24.895999908447266 24.894899368286133 5.000500202178955 32.81079864501953 21.71940040588379 0.1679999977350235 2.812999963760376 86.18000030517578 2.0889999866485596 1.5470000505447388 1.371000051498413
5.5 5.5 24.89459991455078 24.893400192260742 5.000400066375732 32.81100082397461 21.719900131225586 0.33500000834465027 2.822000026702881 70.83999633789062 2.002000093460083 1.562999963760376 1.3580000400543213
6.0 6.0 24.810199737548828 24.808900833129883 4.997200012207031 32.8484001159668 21.77359962463379 0.30300000309944153 2.822000026702881 55.66999816894531 1.899999976158142 1.597000002861023 1.3380000591278076
6.5 6.5 24.623899459838867 24.622499465942383 4.991099834442139 32.939300537109375 21.898000717163086 0.42899999022483826 2.818000078201294 49.119998931884766 1.843999981880188 1.6330000162124634 1.38100004196167
7.0 7.0 23.99810028076172 23.996599197387695 4.971700191497803 33.256900787353516 22.323400497436523 0.24899999797344208 2.8489999771118164 44.0 1.7970000505447388 1.6690000295639038 1.3630000352859497
7.599999904632568 7.5 21.517799377441406 21.516300201416016 4.892099857330322 34.5635986328125 24.02050018310547 0.19099999964237213 2.872999906539917 34.5 1.690000057220459 1.694000005722046 1.3259999752044678
8.100000381469727 8.0 19.957199096679688 19.955699920654297 4.821499824523926 35.2765998840332 24.984399795532227 0.14900000393390656 3.25600004196167 29.81999969482422 1.6269999742507935 1.7730000019073486 1.190999984741211
8.600000381469727 8.5 19.750699996948242 19.749099731445312 4.812600135803223 35.37739944458008 25.115699768066406 0.2290000021457672 3.4079999923706055 22.059999465942383 1.4950000047683716 1.8309999704360962 1.0549999475479126
9.100000381469727 9.0 19.722999572753906 19.72130012512207 4.813399791717529 35.40660095214844 25.145200729370117 0.05700000002980232 3.441999912261963 15.640000343322754 1.3539999723434448 1.8700000047683716 1.1080000400543213

In total, there are 13 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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