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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n3l03s00.nc - 30.14N, 88.09W - 1998-00-05" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n3l03s00)
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: 16)
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   16 options
    depth ?  =  m   16 options
    temperature ?  =  degree_C   16 options
    potentialTemperature ?  =  degree_C   16 options
    conductivity ?  =  Siemens per meter   16 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   16 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   14 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   15 options
    backscattering ?  =  volts   16 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
3.0 3.0 29.0231990814209 29.022499084472656 5.289899826049805 31.981399536132812 19.79210090637207 0.1120000034570694 3.8540000915527344 -9.0 -9.0 1.5679999589920044 0.30000001192092896
3.5 3.5 29.025800704956055 29.024999618530273 5.287300109863281 31.96150016784668 19.77630043029785 0.33000001311302185 3.8489999771118164 -9.0 -9.0 1.5789999961853027 0.2980000078678131
4.0 4.0 29.025299072265625 29.02429962158203 5.2866997718811035 31.957799911499023 19.773799896240234 0.24500000476837158 3.8489999771118164 -9.0 -9.0 1.5950000286102295 0.3050000071525574
4.5 4.5 29.03700065612793 29.035900115966797 5.296500205993652 32.0166015625 19.81399917602539 0.27300000190734863 3.8489999771118164 -9.0 -9.0 1.590000033378601 0.3100000023841858
5.0 5.0 29.012100219726562 29.010900497436523 5.326099872589111 32.23400115966797 19.985300064086914 0.25200000405311584 3.871999979019165 -9.0 -9.0 1.5740000009536743 0.29600000381469727
5.5 5.5 28.926300048828125 28.924999237060547 5.347899913787842 32.440101623535156 20.16819953918457 0.2619999945163727 3.890000104904175 -9.0 -9.0 1.5509999990463257 0.32600000500679016
6.0 6.0 28.828899383544922 28.827499389648438 5.366199970245361 32.63140106201172 20.343900680541992 0.26499998569488525 3.8459999561309814 -9.0 -9.0 1.4910000562667847 0.34299999475479126
6.5 6.5 28.805099487304688 28.803499221801758 5.377699851989746 32.72589874267578 20.422700881958008 0.20499999821186066 3.8480000495910645 -9.0 -9.0 1.4589999914169312 0.39800000190734863
7.0 7.0 28.79170036315918 28.790000915527344 5.380000114440918 32.7505989074707 20.44569969177246 0.2029999941587448 3.9170000553131104 -9.0 -9.0 1.4390000104904175 0.453000009059906
7.599999904632568 7.5 28.728300094604492 28.726499557495117 5.382800102233887 32.8135986328125 20.513900756835938 0.18400000035762787 3.8320000171661377 -9.0 -9.0 1.4390000104904175 0.4180000126361847
8.100000381469727 8.0 28.711200714111328 28.709299087524414 5.383900165557861 32.832698822021484 20.533899307250977 0.21199999749660492 3.628999948501587 -9.0 -9.0 1.4529999494552612 0.4699999988079071
8.600000381469727 8.5 28.707399368286133 28.705400466918945 5.3846001625061035 32.84000015258789 20.540700912475586 0.17000000178813934 3.5759999752044678 -9.0 -9.0 1.4550000429153442 0.6240000128746033
9.100000381469727 9.0 28.671899795532227 28.669700622558594 5.38700008392334 32.88059997558594 20.58289909362793 0.1899999976158142 3.3610000610351562 -9.0 -9.0 1.4579999446868896 0.7400000095367432
9.600000381469727 9.5 28.60890007019043 28.606599807739258 5.385799884796143 32.91579818725586 20.63010025024414 0.18799999356269836 3.244999885559082 -9.0 -9.0 1.465000033378601 0.8820000290870667
10.100000381469727 10.0 28.54010009765625 28.537700653076172 5.388400077819824 32.98080062866211 20.701499938964844 0.3190000057220459 3.3289999961853027 -9.0 -9.0 1.4600000381469727 1.0609999895095825
10.600000381469727 10.5 28.454099655151367 28.45159912109375 5.3917999267578125 33.0640983581543 20.792299270629883 -0.11599999666213989 3.2339999675750732 -9.0 -9.0 1.4980000257492065 1.1670000553131104

In total, there are 16 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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