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Dataset Title:  "NEGOM CTD - n8l02s00.nc - 29.8N, 88.76W - 2000-04-26" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l02s00)
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: 22)
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   22 options
    depth ?  =  m   22 options
    temperature ?  =  degree_C   21 options
    potentialTemperature ?  =  degree_C   21 options
    conductivity ?  =  Siemens per meter   17 options
    salinity ?  =  PSU   20 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   22 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   22 options
    parv ?  =  volts   22 options
    fluorescence ?  =  volts   20 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
1.5 1.5 21.708900451660156 21.708599090576172 4.603499889373779 32.146400451660156 22.13129997253418 -0.18700000643730164 4.198999881744385 987.5 2.6730000972747803 1.1440000534057617 0.1899999976158142
2.0 2.0 21.722299575805664 21.722000122070312 4.604899883270264 32.14720153808594 22.12820053100586 0.35899999737739563 4.245999813079834 601.0 2.2960000038146973 1.156000018119812 0.17299999296665192
2.5 2.5 21.721099853515625 21.720600128173828 4.604899883270264 32.147499084472656 22.1289005279541 0.2930000126361847 4.235000133514404 136.89999389648438 1.6469999551773071 1.1440000534057617 0.164000004529953
3.0 3.0 21.716400146484375 21.71579933166504 4.604300022125244 32.14630126953125 22.129199981689453 0.296999990940094 4.2179999351501465 92.77999877929688 1.5750000476837158 1.1369999647140503 0.16300000250339508
3.5 3.5 21.716899871826172 21.71619987487793 4.603099822998047 32.13679885864258 22.12190055847168 0.3840000033378601 4.24399995803833 89.26000213623047 1.559000015258789 1.1390000581741333 0.15700000524520874
4.0 4.0 21.718000411987305 21.717199325561523 4.604599952697754 32.14739990234375 22.12969970703125 0.26100000739097595 4.235000133514404 79.1500015258789 1.5049999952316284 1.1549999713897705 0.1509999930858612
4.5 4.5 21.719900131225586 21.7189998626709 4.604800224304199 32.147300720214844 22.129100799560547 0.41499999165534973 4.230000019073486 67.04000091552734 1.4320000410079956 1.1640000343322754 0.16300000250339508
5.0 5.0 21.720500946044922 21.719499588012695 4.605000019073486 32.14780044555664 22.12929916381836 0.289000004529953 4.236000061035156 60.02000045776367 1.3860000371932983 1.1690000295639038 0.16200000047683716
5.5 5.5 21.721200942993164 21.72010040283203 4.605000019073486 32.14759826660156 22.129100799560547 0.34200000762939453 4.236000061035156 43.72999954223633 1.2489999532699585 1.1360000371932983 0.1509999930858612
6.0 6.0 21.72130012512207 21.72010040283203 4.605100154876709 32.147701263427734 22.129100799560547 0.24699999392032623 4.234000205993652 45.38999938964844 1.2630000114440918 1.128999948501587 0.1599999964237213
6.5 6.5 21.721900939941406 21.720699310302734 4.605299949645996 32.148799896240234 22.12980079650879 0.3869999945163727 4.234000205993652 36.22999954223633 1.1679999828338623 1.128000020980835 0.15600000321865082
7.0 7.0 21.722700119018555 21.721399307250977 4.605400085449219 32.149200439453125 22.129899978637695 0.36800000071525574 4.236999988555908 34.65999984741211 1.1469999551773071 1.1390000581741333 0.15299999713897705
7.599999904632568 7.5 21.721900939941406 21.720500946044922 4.605400085449219 32.14899826049805 22.1299991607666 0.257999986410141 4.230000019073486 29.06999969482422 1.0720000267028809 1.159000039100647 0.15800000727176666
8.100000381469727 8.0 21.723100662231445 21.721500396728516 4.605500221252441 32.14899826049805 22.12969970703125 0.3529999852180481 4.238999843597412 24.790000915527344 1.0019999742507935 1.1790000200271606 0.15299999713897705
8.600000381469727 8.5 21.722000122070312 21.720399856567383 4.605400085449219 32.14889907836914 22.1299991607666 0.3059999942779541 4.23799991607666 23.65999984741211 0.9829999804496765 1.1490000486373901 0.1589999943971634
9.100000381469727 9.0 21.71969985961914 21.718000411987305 4.605199813842773 32.14870071411133 22.13050079345703 0.30399999022483826 4.245999813079834 20.059999465942383 0.9110000133514404 1.1269999742507935 0.15299999713897705
9.600000381469727 9.5 21.718799591064453 21.716999053955078 4.605100154876709 32.14889907836914 22.13089942932129 0.2199999988079071 4.234000205993652 18.110000610351562 0.8659999966621399 1.1319999694824219 0.1599999964237213
10.100000381469727 10.0 21.724199295043945 21.722200393676758 4.605999946594238 32.15119934082031 22.131200790405273 0.15800000727176666 4.232999801635742 16.520000457763672 0.8270000219345093 1.1399999856948853 0.15800000727176666
10.600000381469727 10.5 21.733600616455078 21.731599807739258 4.607800006866455 32.158199310302734 22.133899688720703 0.21299999952316284 4.235000133514404 14.800000190734863 0.7789999842643738 1.1670000553131104 0.15700000524520874
11.100000381469727 11.0 21.737499237060547 21.73539924621582 4.608699798583984 32.16210174560547 22.135900497436523 0.2070000022649765 4.234000205993652 13.109999656677246 0.7260000109672546 1.152999997138977 0.16300000250339508
11.600000381469727 11.5 21.74090003967285 21.73870086669922 4.609300136566162 32.16469955444336 22.136899948120117 0.14300000667572021 4.230000019073486 12.180000305175781 0.6949999928474426 1.1480000019073486 0.1720000058412552
12.100000381469727 12.0 21.74049949645996 21.73819923400879 4.609399795532227 32.165199279785156 22.137399673461914 0.11699999868869781 4.22599983215332 10.890000343322754 0.6460000276565552 1.194000005722046 0.17499999701976776

In total, there are 22 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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