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Dataset Title:  "NEGOM CTD - n4l10s01.nc - 28.61N, 83.06W - 1998-11-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n4l10s01)
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   15 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   7 options
    salinity ?  =  PSU   12 options
    sigmat ?  =  kg m-3   12 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   12 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   16 options
    backscattering ?  =  volts   11 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 23.38949966430664 23.38909912109375 4.931099891662598 33.40890121459961 22.61549949645996 0.11599999666213989 4.120999813079834 -9.0 -9.0 1.6019999980926514 0.2329999953508377
2.5 2.5 23.390300750732422 23.389799118041992 4.931300163269043 33.4098014831543 22.61590003967285 0.19599999487400055 4.122000217437744 -9.0 -9.0 1.5759999752044678 0.2150000035762787
3.0 3.0 23.38990020751953 23.389299392700195 4.93120002746582 33.40919876098633 22.615699768066406 0.19300000369548798 4.11899995803833 -9.0 -9.0 1.5709999799728394 0.2160000056028366
3.5 3.5 23.389400482177734 23.388700485229492 4.93120002746582 33.40909957885742 22.615699768066406 0.22599999606609344 4.119999885559082 -9.0 -9.0 1.569000005722046 0.21699999272823334
4.0 4.0 23.389299392700195 23.388500213623047 4.93120002746582 33.409000396728516 22.615699768066406 0.210999995470047 4.120999813079834 -9.0 -9.0 1.5509999990463257 0.2160000056028366
4.5 4.5 23.38920021057129 23.3882999420166 4.93120002746582 33.40919876098633 22.61590003967285 0.20900000631809235 4.118000030517578 -9.0 -9.0 1.5670000314712524 0.21400000154972076
5.0 5.0 23.38920021057129 23.388200759887695 4.93120002746582 33.40879821777344 22.6156005859375 0.2930000126361847 4.119999885559082 -9.0 -9.0 1.5870000123977661 0.21199999749660492
5.5 5.5 23.38960075378418 23.388500213623047 4.93120002746582 33.40890121459961 22.6156005859375 0.19499999284744263 4.122000217437744 -9.0 -9.0 1.590000033378601 0.2160000056028366
6.0 6.0 23.38909912109375 23.38789939880371 4.93120002746582 33.40919876098633 22.615999221801758 0.1899999976158142 4.120999813079834 -9.0 -9.0 1.5540000200271606 0.21199999749660492
6.5 6.5 23.389299392700195 23.38800048828125 4.931300163269043 33.409000396728516 22.61590003967285 0.22599999606609344 4.125 -9.0 -9.0 1.565000057220459 0.21199999749660492
7.0 7.0 23.38409996032715 23.382699966430664 4.931300163269043 33.41299819946289 22.620399475097656 0.1979999989271164 4.124000072479248 -9.0 -9.0 1.559999942779541 0.20600000023841858
7.599999904632568 7.5 23.36440086364746 23.362899780273438 4.930799961090088 33.42430114746094 22.634700775146484 0.22100000083446503 4.118000030517578 -9.0 -9.0 1.5540000200271606 0.20600000023841858
8.100000381469727 8.0 23.337900161743164 23.336299896240234 4.931099891662598 33.44599914550781 22.65880012512207 0.16099999845027924 4.126999855041504 -9.0 -9.0 1.559000015258789 0.20600000023841858
8.600000381469727 8.5 23.331899642944336 23.33009910583496 4.935400009155273 33.48360061645508 22.68899917602539 0.2280000001192093 4.145999908447266 -9.0 -9.0 1.5440000295639038 0.23000000417232513
9.100000381469727 9.0 23.33099937438965 23.329099655151367 4.935999870300293 33.48860168457031 22.693099975585938 0.18000000715255737 4.1529998779296875 -9.0 -9.0 1.503999948501587 0.24400000274181366
9.600000381469727 9.5 23.332199096679688 23.3302001953125 4.936200141906738 33.48860168457031 22.692800521850586 0.2029999941587448 4.1579999923706055 -9.0 -9.0 1.4930000305175781 0.2630000114440918
10.100000381469727 10.0 23.32430076599121 23.322200775146484 4.935400009155273 33.48870086669922 22.695199966430664 0.04600000008940697 4.159999847412109 -9.0 -9.0 1.5169999599456787 0.2720000147819519

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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