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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n5l08s01.nc - 29.61N, 84.78W - 1999-05-22" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l08s01)
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   14 options
    potentialTemperature ?  =  degree_C   13 options
    conductivity ?  =  Siemens per meter   11 options
    salinity ?  =  PSU   12 options
    sigmat ?  =  kg m-3   11 options
    descentRate ?  =  meters per second   14 options
    transmission ?  =  percent   10 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   11 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 25.07080078125 25.07029914855957 5.267499923706055 34.650901794433594 23.056100845336914 0.09000000357627869 4.252999782562256 -9.0 -9.0 1.0829999446868896 2.1449999809265137
3.0 3.0 25.072500228881836 25.071800231933594 5.2677998542785645 34.651798248291016 23.056299209594727 0.18700000643730164 4.245999813079834 -9.0 -9.0 1.0410000085830688 2.0940001010894775
3.5 3.5 25.073299407958984 25.072500228881836 5.267899990081787 34.652198791503906 23.056400299072266 0.19200000166893005 4.239999771118164 -9.0 -9.0 1.0290000438690186 2.1029999256134033
4.0 4.0 25.073200225830078 25.07229995727539 5.267899990081787 34.652099609375 23.056299209594727 0.31200000643730164 4.245999813079834 -9.0 -9.0 1.0299999713897705 2.0969998836517334
4.5 4.5 25.074100494384766 25.07309913635254 5.268099784851074 34.65250015258789 23.056400299072266 0.18299999833106995 4.248000144958496 -9.0 -9.0 1.0410000085830688 2.0980000495910645
5.0 5.0 25.07550048828125 25.074399948120117 5.2683000564575195 34.6526985168457 23.05620002746582 0.1860000044107437 4.251999855041504 -9.0 -9.0 1.031000018119812 2.1019999980926514
5.5 5.5 25.07659912109375 25.07539939880371 5.268599987030029 34.65399932861328 23.056900024414062 0.25099998712539673 4.243000030517578 -9.0 -9.0 1.0360000133514404 2.0910000801086426
6.0 6.0 25.07710075378418 25.0757999420166 5.268700122833252 34.654300689697266 23.05699920654297 0.1889999955892563 4.238999843597412 -9.0 -9.0 1.0269999504089355 2.0910000801086426
6.5 6.5 25.07699966430664 25.075599670410156 5.268700122833252 34.65399932861328 23.056800842285156 0.296999990940094 4.241000175476074 -9.0 -9.0 1.0410000085830688 2.1059999465942383
7.0 7.0 25.077199935913086 25.075700759887695 5.268799781799316 34.654300689697266 23.05699920654297 0.17900000512599945 4.243000030517578 -9.0 -9.0 1.0470000505447388 2.0880000591278076
7.599999904632568 7.5 25.077600479125977 25.076000213623047 5.268799781799316 34.654300689697266 23.056900024414062 0.1720000058412552 4.248000144958496 -9.0 -9.0 1.0360000133514404 2.0999999046325684
8.100000381469727 8.0 25.077699661254883 25.076000213623047 5.268899917602539 34.654598236083984 23.057100296020508 0.27399998903274536 4.245999813079834 -9.0 -9.0 1.0420000553131104 2.1089999675750732
8.600000381469727 8.5 25.077299118041992 25.07539939880371 5.269100189208984 34.65599822998047 23.058300018310547 0.17900000512599945 4.248000144958496 -9.0 -9.0 1.0369999408721924 2.1029999256134033
9.100000381469727 9.0 25.076499938964844 25.074499130249023 5.269400119781494 34.659000396728516 23.06089973449707 0.24300000071525574 4.249000072479248 -9.0 -9.0 1.0329999923706055 2.124000072479248
9.600000381469727 9.5 25.07710075378418 25.075000762939453 5.269400119781494 34.658599853515625 23.060400009155273 0.0989999994635582 4.24399995803833 -9.0 -9.0 1.0360000133514404 2.109999895095825

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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