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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n6l03s00.nc - 30.16N, 88.09W - 1999-00-19" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l03s00)
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: 15)
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   15 options
    depth ?  =  m   15 options
    temperature ?  =  degree_C   15 options
    potentialTemperature ?  =  degree_C   15 options
    conductivity ?  =  Siemens per meter   14 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   15 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   15 options
    parv ?  =  volts   15 options
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   14 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 30.592599868774414 30.591999053955078 5.292099952697754 30.97559928894043 18.51180076599121 0.1589999943971634 3.2209999561309814 93.26000213623047 2.256999969482422 1.6929999589920044 0.8069999814033508
3.0 3.0 30.272300720214844 30.2716007232666 5.421599864959717 32.03710174560547 19.414600372314453 0.22499999403953552 3.2190001010894775 63.75 2.1040000915527344 1.7339999675750732 0.7879999876022339
3.5 3.5 30.199800491333008 30.19890022277832 5.468500137329102 32.39649963378906 19.70829963684082 0.26899999380111694 3.246000051498413 50.90999984741211 2.005000114440918 1.7879999876022339 0.7799999713897705
4.0 4.0 30.16860008239746 30.167600631713867 5.529699802398682 32.82550048828125 20.04010009765625 0.21799999475479126 3.437000036239624 40.54999923706055 1.906999945640564 1.805999994277954 0.7670000195503235
4.5 4.5 30.061800003051758 30.060699462890625 5.545899868011475 33.005699157714844 20.211299896240234 0.27000001072883606 3.556999921798706 32.7599983215332 1.812999963760376 1.8229999542236328 0.753000020980835
5.0 5.0 30.00429916381836 30.00309944152832 5.5457000732421875 33.04349899291992 20.259199142456055 0.19200000166893005 3.632999897003174 26.850000381469727 1.7280000448226929 1.8600000143051147 0.7670000195503235
5.5 5.5 29.971500396728516 29.97010040283203 5.548999786376953 33.0880012512207 20.303699493408203 0.22599999606609344 3.6559998989105225 22.0 1.6410000324249268 1.8609999418258667 0.781000018119812
6.0 6.0 29.840099334716797 29.838600158691406 5.559700012207031 33.24980163574219 20.46940040588379 0.21699999272823334 3.687000036239624 18.309999465942383 1.562000036239624 1.8200000524520874 0.7409999966621399
6.5 6.5 29.38520050048828 29.38360023498535 5.574900150299072 33.66790008544922 20.936100006103516 0.1720000058412552 3.7079999446868896 15.359999656677246 1.4850000143051147 1.8420000076293945 0.7070000171661377
7.0 7.0 28.923799514770508 28.922100067138672 5.5731000900268555 33.98149871826172 21.32550048828125 0.27799999713897705 3.7309999465942383 13.430000305175781 1.4270000457763672 1.7920000553131104 0.6589999794960022
7.599999904632568 7.5 28.537099838256836 28.53529930114746 5.605299949645996 34.481300354003906 21.82900047302246 0.25600001215934753 3.740000009536743 11.369999885559082 1.3550000190734863 1.7680000066757202 0.6990000009536743
8.100000381469727 8.0 28.050500869750977 28.048599243164062 5.627900123596191 34.99570083618164 22.375499725341797 0.20900000631809235 3.5980000495910645 10.289999961853027 1.3109999895095825 1.746000051498413 0.7289999723434448
8.600000381469727 8.5 27.732200622558594 27.730199813842773 5.63670015335083 35.29560089111328 22.704999923706055 0.16599999368190765 3.5309998989105225 8.779999732971191 1.2419999837875366 1.7209999561309814 0.7519999742507935
9.100000381469727 9.0 27.57229995727539 27.570199966430664 5.630099773406982 35.36970138549805 22.812700271606445 0.1889999955892563 3.0490000247955322 7.639999866485596 1.1820000410079956 1.7259999513626099 0.7950000166893005
9.600000381469727 9.5 27.51740074157715 27.515199661254883 5.627900123596191 35.394798278808594 22.84939956665039 0.1809999942779541 2.819999933242798 6.559999942779541 1.1169999837875366 1.74399995803833 0.8389999866485596

In total, there are 15 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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