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Dataset Title:  "NEGOM CTD - n8l09s01.nc - 29.49N, 83.63W - 2000-04-17" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l09s01)
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: 17)
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   17 options
    depth ?  =  m   17 options
    temperature ?  =  degree_C   14 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   6 options
    salinity ?  =  PSU   9 options
    sigmat ?  =  kg m-3   11 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   1 option: 2.4600000381469727
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   12 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 21.510400772094727 21.510099411010742 4.9893999099731445 35.345001220703125 24.616500854492188 0.06300000101327896 4.311999797821045 2.4600000381469727 0.0 1.059999942779541 0.19499999284744263
2.5 2.5 21.506500244140625 21.506000518798828 4.988999843597412 35.34489822387695 24.617599487304688 0.2160000056028366 4.330999851226807 2.4600000381469727 0.0 1.034000039100647 0.1599999964237213
3.0 3.0 21.506399154663086 21.505800247192383 4.988999843597412 35.34489822387695 24.617700576782227 0.16099999845027924 4.330999851226807 2.4600000381469727 0.0 1.0399999618530273 0.15000000596046448
3.5 3.5 21.506200790405273 21.505599975585938 4.988999843597412 35.344600677490234 24.61750030517578 0.23399999737739563 4.330999851226807 2.4600000381469727 0.0 1.0390000343322754 0.15299999713897705
4.0 4.0 21.506500244140625 21.505699157714844 4.988999843597412 35.344398498535156 24.617300033569336 0.18700000643730164 4.335999965667725 2.4600000381469727 0.0 1.0429999828338623 0.15700000524520874
4.5 4.5 21.507200241088867 21.506399154663086 4.989099979400635 35.34429931640625 24.617000579833984 0.1720000058412552 4.323999881744385 2.4600000381469727 0.0 1.024999976158142 0.15600000321865082
5.0 5.0 21.507099151611328 21.506099700927734 4.989099979400635 35.34450149536133 24.61720085144043 0.17299999296665192 4.329999923706055 2.4600000381469727 0.0 1.062999963760376 0.15600000321865082
5.5 5.5 21.504600524902344 21.503599166870117 4.988900184631348 35.34469985961914 24.618099212646484 0.20200000703334808 4.335999965667725 2.4600000381469727 0.0 1.0520000457763672 0.15299999713897705
6.0 6.0 21.50510025024414 21.5039005279541 4.988900184631348 35.34429931640625 24.617700576782227 0.30399999022483826 4.331999778747559 2.4600000381469727 0.0 1.0260000228881836 0.14900000393390656
6.5 6.5 21.505699157714844 21.5044002532959 4.989099979400635 35.344398498535156 24.617700576782227 0.22200000286102295 3.806999921798706 2.4600000381469727 0.0 1.0199999809265137 0.14800000190734863
7.0 7.0 21.506399154663086 21.50510025024414 4.989099979400635 35.344200134277344 24.617300033569336 0.2809999883174896 4.300000190734863 2.4600000381469727 0.0 1.0410000085830688 0.15000000596046448
7.599999904632568 7.5 21.50510025024414 21.503599166870117 4.988999843597412 35.344398498535156 24.617799758911133 0.1850000023841858 4.177999973297119 2.4600000381469727 0.0 1.0329999923706055 0.15000000596046448
8.100000381469727 8.0 21.50469970703125 21.50320053100586 4.988999843597412 35.344398498535156 24.618000030517578 0.17000000178813934 4.326000213623047 2.4600000381469727 0.0 1.0369999408721924 0.1509999930858612
8.600000381469727 8.5 21.503700256347656 21.50200080871582 4.988900184631348 35.34410095214844 24.618099212646484 0.18400000035762787 4.333000183105469 2.4600000381469727 0.0 1.0449999570846558 0.1509999930858612
9.100000381469727 9.0 21.5039005279541 21.502199172973633 4.988900184631348 35.34410095214844 24.618000030517578 0.1679999977350235 4.327000141143799 2.4600000381469727 0.0 1.0920000076293945 0.164000004529953
9.600000381469727 9.5 21.506999969482422 21.505199432373047 4.989299774169922 35.34410095214844 24.61720085144043 0.1599999964237213 4.327000141143799 2.4600000381469727 0.0 1.0499999523162842 0.1459999978542328
10.100000381469727 10.0 21.502199172973633 21.50029945373535 4.988800048828125 35.34410095214844 24.618600845336914 -0.024000000208616257 4.320000171661377 2.4600000381469727 0.0 1.0570000410079956 0.12800000607967377

In total, there are 17 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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