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Dataset Title:  "NEGOM CTD - n8l10s01.nc - 28.61N, 83.07W - 2000-04-17" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l10s01)
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   13 options
    salinity ?  =  PSU   12 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   14 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   15 options
    parv ?  =  volts   15 options
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   11 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 22.543399810791016 22.54290008544922 5.2118000984191895 36.24589920043945 25.01059913635254 0.12800000607967377 4.239999771118164 1686.0 2.8329999446868896 0.8960000276565552 0.18000000715255737
3.0 3.0 22.632999420166016 22.632400512695312 5.221399784088135 36.24580001831055 24.984899520874023 0.1679999977350235 4.245999813079834 1627.0 2.818000078201294 0.8899999856948853 0.17499999701976776
3.5 3.5 22.620500564575195 22.619800567626953 5.220200061798096 36.247100830078125 24.989500045776367 0.20600000023841858 4.251999855041504 1436.0 2.765000104904175 0.8569999933242798 0.17599999904632568
4.0 4.0 22.636999130249023 22.636199951171875 5.2220001220703125 36.24720001220703 24.984800338745117 0.1889999955892563 4.260000228881836 1518.0 2.7880001068115234 0.8889999985694885 0.1720000058412552
4.5 4.5 22.631500244140625 22.630599975585938 5.22160005569458 36.24789810180664 24.98699951171875 0.18199999630451202 4.261000156402588 1374.0 2.74399995803833 0.9179999828338623 0.1679999977350235
5.0 5.0 22.62150001525879 22.620500564575195 5.220600128173828 36.2484016418457 24.99020004272461 0.19300000369548798 4.258999824523926 1250.0 2.7019999027252197 0.8980000019073486 0.17000000178813934
5.5 5.5 22.578500747680664 22.57740020751953 5.21589994430542 36.24760055541992 25.00200080871582 0.17800000309944153 4.245999813079834 1198.0 2.683000087738037 0.9010000228881836 0.16500000655651093
6.0 6.0 22.48859977722168 22.487300872802734 5.206099987030029 36.245601654052734 25.02630043029785 0.2199999988079071 4.245999813079834 1075.0 2.6389999389648438 0.9210000038146973 0.164000004529953
6.5 6.5 22.40130043029785 22.399999618530273 5.196800231933594 36.24509811401367 25.050899505615234 0.17499999701976776 4.241000175476074 1036.0 2.622999906539917 0.9710000157356262 0.16699999570846558
7.0 7.0 22.35810089111328 22.356599807739258 5.192399978637695 36.24589920043945 25.063800811767578 0.18700000643730164 4.236999988555908 961.0999755859375 2.5899999141693115 1.003000020980835 0.17000000178813934
7.599999904632568 7.5 22.34269905090332 22.34119987487793 5.190700054168701 36.24530029296875 25.067699432373047 0.1860000044107437 4.24399995803833 890.9000244140625 2.553999900817871 0.9879999756813049 0.17499999701976776
8.100000381469727 8.0 22.336000442504883 22.334400177001953 5.189799785614014 36.24409866333008 25.06879997253418 0.19300000369548798 4.242000102996826 784.5999755859375 2.503000020980835 0.9929999709129333 0.17499999701976776
8.600000381469727 8.5 22.337900161743164 22.336200714111328 5.190199851989746 36.245601654052734 25.069299697875977 0.17900000512599945 4.211999893188477 717.9000244140625 2.4630000591278076 1.0329999923706055 0.18400000035762787
9.100000381469727 9.0 22.336999893188477 22.3351993560791 5.190199851989746 36.24580001831055 25.069799423217773 0.1979999989271164 4.201000213623047 550.5999755859375 2.3459999561309814 1.0160000324249268 0.1770000010728836
9.600000381469727 9.5 22.33650016784668 22.33449935913086 5.190199851989746 36.24610137939453 25.07029914855957 0.0430000014603138 4.2769999504089355 389.20001220703125 2.2139999866485596 1.090000033378601 0.17000000178813934

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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