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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n9l07s00.nc - 29.74N, 85.43W - 2000-00-02" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l07s00)
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   14 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   14 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   11 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
2.5 2.5 29.265600204467773 29.264999389648438 5.756899833679199 34.99660110473633 21.972700119018555 0.18400000035762787 3.8440001010894775 -9.0 -9.0 1.6089999675750732 0.23499999940395355
3.0 3.0 29.263399124145508 29.262699127197266 5.756199836730957 34.99330139160156 21.97100067138672 0.3490000069141388 3.8320000171661377 -9.0 -9.0 1.5870000123977661 0.2409999966621399
3.5 3.5 29.262500762939453 29.261600494384766 5.756100177764893 34.99290084838867 21.971099853515625 0.30799999833106995 3.8380000591278076 -9.0 -9.0 1.6089999675750732 0.2460000067949295
4.0 4.0 29.262800216674805 29.26180076599121 5.756199836730957 34.99359893798828 21.971500396728516 0.257999986410141 3.8329999446868896 -9.0 -9.0 1.628999948501587 0.25099998712539673
4.5 4.5 29.263700485229492 29.26259994506836 5.7565999031066895 34.994998931884766 21.972299575805664 0.18400000035762787 3.8410000801086426 -9.0 -9.0 1.6349999904632568 0.24500000476837158
5.0 5.0 29.263999938964844 29.262800216674805 5.756700038909912 34.995601654052734 21.972700119018555 0.1469999998807907 3.8450000286102295 -9.0 -9.0 1.621000051498413 0.2549999952316284
5.5 5.5 29.262100219726562 29.260799407958984 5.756499767303467 34.995399475097656 21.97319984436035 0.16500000655651093 3.8480000495910645 -9.0 -9.0 1.6339999437332153 0.24300000071525574
6.0 6.0 29.260799407958984 29.259300231933594 5.756499767303467 34.99639892578125 21.97439956665039 0.1899999976158142 3.8389999866485596 -9.0 -9.0 1.6349999904632568 0.24400000274181366
6.5 6.5 29.2637996673584 29.26219940185547 5.757299900054932 34.9994010925293 21.97570037841797 0.15000000596046448 3.8499999046325684 -9.0 -9.0 1.6629999876022339 0.24500000476837158
7.0 7.0 29.27790069580078 29.276199340820312 5.76140022277832 35.016998291015625 21.98430061340332 0.20900000631809235 3.8469998836517334 -9.0 -9.0 1.6150000095367432 0.2590000033378601
7.599999904632568 7.5 29.289100646972656 29.28730010986328 5.764500141143799 35.03030014038086 21.99049949645996 0.19699999690055847 3.8410000801086426 -9.0 -9.0 1.6319999694824219 0.2540000081062317
8.100000381469727 8.0 29.29360008239746 29.29159927368164 5.765699863433838 35.035099029541016 21.992599487304688 0.19499999284744263 3.8429999351501465 -9.0 -9.0 1.6349999904632568 0.23999999463558197
8.600000381469727 8.5 29.318099975585938 29.31599998474121 5.771999835968018 35.06010055541992 22.00320053100586 0.19699999690055847 3.8350000381469727 -9.0 -9.0 1.6150000095367432 0.23999999463558197
9.100000381469727 9.0 29.456300735473633 29.454099655151367 5.803299903869629 35.17250061035156 22.041000366210938 0.20999999344348907 3.8239998817443848 -9.0 -9.0 1.6319999694824219 0.23999999463558197
9.600000381469727 9.5 29.508100509643555 29.505800247192383 5.814199924468994 35.20899963378906 22.050899505615234 0.1889999955892563 3.805999994277954 -9.0 -9.0 1.6390000581741333 0.257999986410141
10.100000381469727 10.0 29.671600341796875 29.669099807739258 5.855299949645996 35.36940002441406 22.11590003967285 0.15199999511241913 3.73799991607666 -9.0 -9.0 1.656000018119812 0.2980000078678131

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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