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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n6l11s01.nc - 27.5N, 82.85W - 1999-00-22" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n6l11s01)
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   11 options
    conductivity ?  =  Siemens per meter   7 options
    salinity ?  =  PSU   9 options
    sigmat ?  =  kg m-3   10 options
    descentRate ?  =  meters per second   16 options
    transmission ?  =  percent   11 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   11 options
    backscattering ?  =  volts   1 option: -9.0

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 30.627099990844727 30.62649917602539 6.030700206756592 35.855899810791016 22.152099609375 0.11100000143051147 3.687000036239624 -9.0 -9.0 1.5880000591278076 -9.0
3.0 3.0 30.62529945373535 30.624500274658203 6.030700206756592 35.857200622558594 22.15369987487793 0.2409999966621399 3.678999900817871 -9.0 -9.0 1.597000002861023 -9.0
3.5 3.5 30.627199172973633 30.626300811767578 6.030900001525879 35.85710144042969 22.152999877929688 0.17499999701976776 3.690999984741211 -9.0 -9.0 1.590000033378601 -9.0
4.0 4.0 30.62619972229004 30.625200271606445 6.030799865722656 35.8572998046875 22.153499603271484 0.2199999988079071 3.684000015258789 -9.0 -9.0 1.5829999446868896 -9.0
4.5 4.5 30.62649917602539 30.62540054321289 6.030900001525879 35.8572998046875 22.153499603271484 0.20499999821186066 3.691999912261963 -9.0 -9.0 1.593000054359436 -9.0
5.0 5.0 30.626300811767578 30.625 6.030900001525879 35.85710144042969 22.153499603271484 0.20100000500679016 3.691999912261963 -9.0 -9.0 1.590000033378601 -9.0
5.5 5.5 30.62619972229004 30.624799728393555 6.030900001525879 35.8572998046875 22.15369987487793 0.24500000476837158 3.696000099182129 -9.0 -9.0 1.5889999866485596 -9.0
6.0 6.0 30.62660026550293 30.625099182128906 6.031000137329102 35.8572998046875 22.153600692749023 0.15299999713897705 3.690999984741211 -9.0 -9.0 1.593999981880188 -9.0
6.5 6.5 30.627099990844727 30.62540054321289 6.031099796295166 35.857398986816406 22.153499603271484 0.1979999989271164 3.694000005722046 -9.0 -9.0 1.5980000495910645 -9.0
7.0 7.0 30.627300262451172 30.625499725341797 6.031099796295166 35.857398986816406 22.153499603271484 0.19599999487400055 3.694000005722046 -9.0 -9.0 1.593000054359436 -9.0
7.599999904632568 7.5 30.627399444580078 30.625499725341797 6.031099796295166 35.857398986816406 22.153499603271484 0.19599999487400055 3.6989998817443848 -9.0 -9.0 1.5829999446868896 -9.0
8.100000381469727 8.0 30.62700080871582 30.625 6.031099796295166 35.857398986816406 22.15369987487793 0.18299999833106995 3.696000099182129 -9.0 -9.0 1.5870000123977661 -9.0
8.600000381469727 8.5 30.625900268554688 30.623699188232422 6.031000137329102 35.857398986816406 22.15410041809082 0.17299999296665192 3.687000036239624 -9.0 -9.0 1.597000002861023 -9.0
9.100000381469727 9.0 30.625 30.622699737548828 6.031000137329102 35.8578987121582 22.15489959716797 0.19300000369548798 3.687999963760376 -9.0 -9.0 1.5989999771118164 -9.0
9.600000381469727 9.5 30.625099182128906 30.622699737548828 6.030799865722656 35.85649871826172 22.153799057006836 0.1679999977350235 3.690000057220459 -9.0 -9.0 1.5889999866485596 -9.0
10.100000381469727 10.0 30.62619972229004 30.623699188232422 6.031199932098389 35.85820007324219 22.154800415039062 0.17000000178813934 3.683000087738037 -9.0 -9.0 1.5889999866485596 -9.0
10.600000381469727 10.5 30.627500534057617 30.624799728393555 6.031400203704834 35.858001708984375 22.154199600219727 0.125 3.691999912261963 -9.0 -9.0 1.6059999465942383 -9.0

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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