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Dataset Title:  "NEGOM CTD - n9l04s00.nc - 30.28N, 87.32W - 2000-07-31" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l04s00)
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   19 options
    potentialTemperature ?  =  degree_C   19 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   19 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   19 options
    transmission ?  =  percent   14 options
    par ?  =  umol m-2 s-1   19 options
    parv ?  =  volts   19 options
    fluorescence ?  =  volts   15 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 28.613399505615234 28.61280059814453 5.750699996948242 35.43560028076172 22.520299911499023 0.18000000715255737 3.921999931335449 1692.0 2.822000026702881 1.1929999589920044 0.22300000488758087
3.0 3.0 28.631099700927734 28.630399703979492 5.754199981689453 35.44599914550781 22.522199630737305 0.28200000524520874 3.9189999103546143 1490.0 2.7780001163482666 1.180999994277954 0.21899999678134918
3.5 3.5 28.648099899291992 28.647300720214844 5.758299827575684 35.46160125732422 22.528400421142578 0.19499999284744263 3.9170000553131104 1137.0 2.6589999198913574 1.2139999866485596 0.21899999678134918
4.0 4.0 28.648799896240234 28.64780044555664 5.759900093078613 35.47249984741211 22.536399841308594 0.17900000512599945 3.9119999408721924 967.0 2.5910000801086426 1.2369999885559082 0.22100000083446503
4.5 4.5 28.644800186157227 28.643699645996094 5.76200008392334 35.48979949951172 22.55069923400879 0.23399999737739563 3.9089999198913574 916.0 2.569999933242798 1.2319999933242798 0.21899999678134918
5.0 5.0 28.635499954223633 28.634300231933594 5.764100074768066 35.51139831542969 22.570100784301758 0.18400000035762787 3.9030001163482666 773.0999755859375 2.496000051498413 1.2630000114440918 0.21899999678134918
5.5 5.5 28.63319969177246 28.631900787353516 5.766900062561035 35.532100677490234 22.58650016784668 0.2540000081062317 3.9030001163482666 670.2000122070312 2.434999942779541 1.3109999895095825 0.2199999988079071
6.0 6.0 28.640100479125977 28.638700485229492 5.769599914550781 35.5458984375 22.594600677490234 0.16099999845027924 3.9110000133514404 607.0 2.3919999599456787 1.3240000009536743 0.2199999988079071
6.5 6.5 28.649999618530273 28.648399353027344 5.77209997177124 35.55550003051758 22.598499298095703 0.23999999463558197 3.9110000133514404 536.7999877929688 2.3380000591278076 1.3270000219345093 0.21899999678134918
7.0 7.0 28.646799087524414 28.645099639892578 5.772200107574463 35.55839920043945 22.6018009185791 0.16699999570846558 3.9189999103546143 461.8999938964844 2.2730000019073486 1.3329999446868896 0.22200000286102295
7.599999904632568 7.5 28.653499603271484 28.65169906616211 5.77400016784668 35.56560134887695 22.604999542236328 0.21699999272823334 3.9240000247955322 415.20001220703125 2.2269999980926514 1.3270000219345093 0.2160000056028366
8.100000381469727 8.0 28.66550064086914 28.66360092163086 5.776899814605713 35.576900482177734 22.609600067138672 0.19099999964237213 3.937000036239624 366.5 2.1730000972747803 1.3370000123977661 0.2199999988079071
8.600000381469727 8.5 28.663299560546875 28.66119956970215 5.777599811553955 35.58340072631836 22.61520004272461 0.17000000178813934 3.9489998817443848 327.6000061035156 2.124000072479248 1.3270000219345093 0.21799999475479126
9.100000381469727 9.0 28.657899856567383 28.65570068359375 5.777299880981445 35.585201263427734 22.61840057373047 0.24500000476837158 3.950000047683716 292.3999938964844 2.0739998817443848 1.3300000429153442 0.22599999606609344
9.600000381469727 9.5 28.657499313354492 28.65519905090332 5.777299880981445 35.584999084472656 22.61840057373047 0.18199999630451202 3.944999933242798 261.20001220703125 2.0260000228881836 1.3329999446868896 0.23100000619888306
10.100000381469727 10.0 28.656400680541992 28.65399932861328 5.777200222015381 35.58509826660156 22.618900299072266 0.20200000703334808 3.941999912261963 231.39999389648438 1.9730000495910645 1.3329999446868896 0.23600000143051147
10.600000381469727 10.5 28.65489959716797 28.65239906311035 5.777100086212158 35.58549880981445 22.619800567626953 0.17800000309944153 3.944000005722046 206.0 1.9229999780654907 1.3339999914169312 0.24500000476837158
11.100000381469727 11.0 28.652099609375 28.64940071105957 5.777100086212158 35.58729934692383 22.622100830078125 0.14100000262260437 3.944999933242798 183.0 1.871000051498413 1.3179999589920044 0.3630000054836273
11.600000381469727 11.5 28.6476993560791 28.644899368286133 5.777100086212158 35.59040069580078 22.625900268554688 -0.08399999886751175 3.9489998817443848 163.3000030517578 1.8229999542236328 1.319000005722046 0.49799999594688416

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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