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Dataset Title:  "NEGOM CTD - n5l04s00.nc - 30.29N, 87.35W - 1999-05-25" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l04s00)
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: 13)
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   13 options
    depth ?  =  m   13 options
    temperature ?  =  degree_C   13 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   13 options
    salinity ?  =  PSU   13 options
    sigmat ?  =  kg m-3   13 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   13 options
    parv ?  =  volts   13 options
    fluorescence ?  =  volts   13 options
    backscattering ?  =  volts   10 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
2.0 2.0 24.791900634765625 24.791500091552734 5.013199806213379 32.98109817504883 21.878999710083008 0.12999999523162842 4.116000175476074 4379.0 3.2929999828338623 1.2589999437332153 0.7509999871253967
2.5 2.5 24.79990005493164 24.799400329589844 5.011199951171875 32.960601806640625 21.861099243164062 0.4099999964237213 4.118000030517578 1988.0 2.8989999294281006 1.1260000467300415 0.7549999952316284
3.0 3.0 24.808000564575195 24.80739974975586 5.009300231933594 32.940101623535156 21.843299865722656 0.37700000405311584 4.110000133514404 1627.0 2.813999891281128 0.7710000276565552 0.753000020980835
3.5 3.5 24.776399612426758 24.77560043334961 5.013000011444092 32.9906005859375 21.890899658203125 0.29600000381469727 4.105000019073486 1389.0 2.746999979019165 0.8009999990463257 0.7549999952316284
4.0 4.0 24.741300582885742 24.740400314331055 5.015200138092041 33.03239822387695 21.933000564575195 0.3050000071525574 4.0960001945495605 1185.0 2.681999921798706 1.1440000534057617 0.7509999871253967
4.5 4.5 24.587499618530273 24.58650016784668 5.027500152587891 33.23609924316406 22.13290023803711 0.23999999463558197 4.063000202178955 1035.0 2.624000072479248 1.2200000286102295 0.7549999952316284
5.0 5.0 24.37619972229004 24.375099182128906 5.039000034332275 33.47890090942383 22.3794002532959 0.23899999260902405 4.00600004196167 1061.0 2.630000114440918 1.2510000467300415 0.7850000262260437
5.5 5.5 24.14229965209961 24.14109992980957 5.053699970245361 33.764801025390625 22.664899826049805 0.4009999930858612 3.997999906539917 909.7000122070312 2.566999912261963 1.24399995803833 0.7990000247955322
6.099999904632568 6.0 24.115100860595703 24.113800048828125 5.054999828338623 33.794898986816406 22.69569969177246 0.40799999237060547 3.9240000247955322 820.2999877929688 2.5209999084472656 1.2419999837875366 0.8090000152587891
6.599999904632568 6.5 23.70800018310547 23.706600189208984 5.061399936676025 34.15380096435547 23.087099075317383 0.20000000298023224 3.8340001106262207 695.5999755859375 2.450000047683716 1.319000005722046 0.8600000143051147
7.099999904632568 7.0 23.082799911499023 23.08139991760254 5.065000057220459 34.667701721191406 23.658100128173828 0.13899999856948853 3.6440000534057617 658.5999755859375 2.4260001182556152 1.4769999980926514 0.949999988079071
7.599999904632568 7.5 22.94969940185547 22.948200225830078 5.05679988861084 34.70949935913086 23.728200912475586 0.2809999883174896 3.6010000705718994 561.2000122070312 2.3580000400543213 1.5140000581741333 1.0399999618530273
8.100000381469727 8.0 22.910400390625 22.90880012512207 5.054100036621094 34.71950149536133 23.747100830078125 0.16500000655651093 3.5739998817443848 478.1000061035156 2.2890000343322754 1.5399999618530273 1.2359999418258667

In total, there are 13 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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