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Dataset Title:  "NEGOM CTD - n5l10s01.nc - 28.61N, 83.06W - 1999-05-19" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l10s01)
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: 19)
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   19 options
    depth ?  =  m   19 options
    temperature ?  =  degree_C   18 options
    potentialTemperature ?  =  degree_C   18 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   18 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   19 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   19 options
    parv ?  =  volts   19 options
    fluorescence ?  =  volts   19 options
    backscattering ?  =  volts   17 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 26.037799835205078 26.037200927734375 5.383500099182129 34.76430130004883 22.843900680541992 0.08299999684095383 4.258999824523926 2519.0 3.703000068664551 -9.0 2.0910000801086426
3.0 3.0 26.039600372314453 26.03890037536621 5.383699893951416 34.76449966430664 22.8435001373291 0.257999986410141 4.264999866485596 1031.0 3.322000026702881 1.0260000228881836 2.1040000915527344
3.5 3.5 26.037099838256836 26.036300659179688 5.383399963378906 34.76359939575195 22.843700408935547 0.503000020980835 4.250999927520752 909.7000122070312 3.25600004196167 0.9559999704360962 2.062000036239624
4.0 4.0 26.0403995513916 26.039499282836914 5.383900165557861 34.76490020751953 22.843599319458008 0.27900001406669617 4.245999813079834 885.5 3.244999885559082 1.0010000467300415 2.066999912261963
4.5 4.5 26.047300338745117 26.046300888061523 5.384799957275391 34.76599884033203 22.842300415039062 0.36800000071525574 4.248000144958496 863.2000122070312 3.234999895095825 0.9300000071525574 2.063999891281128
5.0 5.0 26.044700622558594 26.04360008239746 5.384500026702881 34.76580047607422 22.843000411987305 0.20800000429153442 4.265999794006348 802.2999877929688 3.2019999027252197 0.8849999904632568 2.059000015258789
5.5 5.5 26.04640007019043 26.04520034790039 5.384799957275391 34.766300201416016 22.842899322509766 0.3089999854564667 4.265999794006348 756.7000122070312 3.177000045776367 0.902999997138977 2.0480000972747803
6.0 6.0 26.047300338745117 26.04599952697754 5.384699821472168 34.765201568603516 22.841800689697266 0.2029999941587448 4.26200008392334 694.9000244140625 3.140000104904175 0.9509999752044678 2.0810000896453857
6.5 6.5 26.0487003326416 26.047199249267578 5.3850998878479 34.766700744628906 22.842599868774414 0.2639999985694885 4.265999794006348 626.2000122070312 3.0950000286102295 0.968999981880188 2.046999931335449
7.0 7.0 26.054399490356445 26.052799224853516 5.385799884796143 34.767398834228516 22.841400146484375 0.21799999475479126 4.267000198364258 579.9000244140625 3.059000015258789 0.9860000014305115 2.052000045776367
7.599999904632568 7.5 26.051700592041016 26.049999237060547 5.385499954223633 34.7671012878418 22.841999053955078 0.19200000166893005 4.24399995803833 573.0999755859375 3.0490000247955322 1.0579999685287476 2.049999952316284
8.100000381469727 8.0 26.05139923095703 26.04960060119629 5.38539981842041 34.76639938354492 22.84160041809082 0.27300000190734863 4.263999938964844 495.5 2.992000102996826 0.996999979019165 2.062000036239624
8.600000381469727 8.5 26.051799774169922 26.04990005493164 5.385499954223633 34.76649856567383 22.84160041809082 0.21699999272823334 4.261000156402588 478.29998779296875 2.9769999980926514 0.9869999885559082 2.062000036239624
9.100000381469727 9.0 26.049299240112305 26.047300338745117 5.3850998878479 34.765201568603516 22.84149932861328 0.2409999966621399 4.257999897003174 479.1000061035156 2.9790000915527344 1.0019999742507935 2.0510001182556152
9.600000381469727 9.5 26.045700073242188 26.04360008239746 5.384500026702881 34.76350021362305 22.841299057006836 0.22300000488758087 4.257999897003174 417.6000061035156 2.9189999103546143 1.156000018119812 2.061000108718872
10.100000381469727 10.0 26.016599655151367 26.014400482177734 5.380099773406982 34.75379943847656 22.84309959411621 0.29499998688697815 4.206999778747559 438.3999938964844 2.940000057220459 1.7690000534057617 2.0829999446868896
10.600000381469727 10.5 25.969600677490234 25.967199325561523 5.373199939727783 34.73910140991211 22.84670066833496 0.210999995470047 4.184999942779541 365.0 2.8610000610351562 1.2910000085830688 2.1419999599456787
11.100000381469727 11.0 25.943199157714844 25.94070053100586 5.369500160217285 34.7318000793457 22.84950065612793 0.2800000011920929 4.199999809265137 341.1000061035156 2.8310000896453857 1.1330000162124634 2.171999931335449
11.600000381469727 11.5 25.95989990234375 25.957300186157227 5.372099876403809 34.737998962402344 22.848899841308594 0.16099999845027924 4.176000118255615 349.79998779296875 2.8420000076293945 1.11899995803833 2.1070001125335693

In total, there are 19 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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