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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n7l04s00.nc - 30.27N, 87.33W - 1999-11-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7l04s00)
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   15 options
    potentialTemperature ?  =  degree_C   15 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   15 options
    sigmat ?  =  kg m-3   15 options
    descentRate ?  =  meters per second   13 options
    transmission ?  =  percent   13 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   15 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
2.0 2.0 21.190399169921875 21.190000534057617 4.832399845123291 34.35430145263672 23.9507999420166 0.16599999368190765 4.142000198364258 -9.0 -9.0 1.1790000200271606 0.21899999678134918
2.5 2.5 21.188400268554688 21.18790054321289 4.831399917602539 34.347599029541016 23.946199417114258 0.18700000643730164 4.144999980926514 -9.0 -9.0 1.1480000019073486 0.1889999955892563
3.0 3.0 21.149700164794922 21.149099349975586 4.822800159454346 34.309600830078125 23.927900314331055 0.164000004529953 4.144999980926514 -9.0 -9.0 1.1670000553131104 0.19300000369548798
3.5 3.5 21.12689971923828 21.12619972229004 4.817500114440918 34.285701751708984 23.9158992767334 0.1720000058412552 4.151000022888184 -9.0 -9.0 1.1759999990463257 0.18700000643730164
4.0 4.0 21.127099990844727 21.126300811767578 4.817399978637695 34.2849006652832 23.915300369262695 0.17900000512599945 4.146999835968018 -9.0 -9.0 1.1610000133514404 0.18400000035762787
4.5 4.5 21.133899688720703 21.132999420166016 4.819300174713135 34.293701171875 23.92020034790039 0.17499999701976776 4.14900016784668 -9.0 -9.0 1.1770000457763672 0.18000000715255737
5.0 5.0 21.156700134277344 21.15570068359375 4.823599815368652 34.30970001220703 23.92620086669922 0.19499999284744263 4.140999794006348 -9.0 -9.0 1.2109999656677246 0.1770000010728836
5.5 5.5 21.172199249267578 21.171100616455078 4.827000141143799 34.324100494384766 23.933000564575195 0.16599999368190765 4.150000095367432 -9.0 -9.0 1.1660000085830688 0.1809999942779541
6.0 6.0 21.214399337768555 21.213199615478516 4.837200164794922 34.372100830078125 23.95800018310547 0.1889999955892563 4.144000053405762 -9.0 -9.0 1.159999966621399 0.18400000035762787
6.5 6.5 21.22410011291504 21.22279930114746 4.839700222015381 34.383399963378906 23.964000701904297 0.13600000739097595 4.138000011444092 -9.0 -9.0 1.2009999752044678 0.18799999356269836
7.0 7.0 21.210599899291992 21.209299087524414 4.8368000984191895 34.37120056152344 23.95840072631836 0.20900000631809235 4.140999794006348 -9.0 -9.0 1.1690000295639038 0.1899999976158142
7.599999904632568 7.5 21.388999938964844 21.387500762939453 4.876100063323975 34.54010009765625 24.03809928894043 0.14900000393390656 4.138999938964844 -9.0 -9.0 1.1640000343322754 0.19300000369548798
8.100000381469727 8.0 21.62980079650879 21.62820053100586 4.927599906921387 34.75490188598633 24.135099411010742 0.2160000056028366 4.0980000495910645 -9.0 -9.0 1.2289999723434448 0.20399999618530273
8.600000381469727 8.5 21.496599197387695 21.49489974975586 4.89900016784668 34.63520050048828 24.080799102783203 0.14900000393390656 4.0960001945495605 -9.0 -9.0 1.2669999599456787 0.20999999344348907
9.100000381469727 9.0 21.72249984741211 21.720699310302734 4.948999881744385 34.84920120239258 24.181100845336914 0.125 4.089000225067139 -9.0 -9.0 1.2660000324249268 0.2160000056028366

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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