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ERDDAP > tabledap > Subset ?

Dataset Title:  "NEGOM CTD - n9l02s00.nc - 29.8N, 88.75W - 2000-07-30" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l02s00)
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: 25)
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   25 options
    depth ?  =  m   25 options
    temperature ?  =  degree_C   25 options
    potentialTemperature ?  =  degree_C   24 options
    conductivity ?  =  Siemens per meter   21 options
    salinity ?  =  PSU   24 options
    sigmat ?  =  kg m-3   25 options
    descentRate ?  =  meters per second   24 options
    transmission ?  =  percent   23 options
    par ?  =  umol m-2 s-1   1 option: -9.0
    parv ?  =  volts   1 option: -9.0
    fluorescence ?  =  volts   21 options
    backscattering ?  =  volts   23 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 29.553199768066406 29.552600860595703 5.605199813842773 33.75669860839844 20.94580078125 0.25099998712539673 3.8369998931884766 -9.0 -9.0 1.246000051498413 0.2720000147819519
3.0 3.0 29.55389976501465 29.553199768066406 5.605400085449219 33.757301330566406 20.94610023498535 0.2409999966621399 3.8410000801086426 -9.0 -9.0 1.2519999742507935 0.25699999928474426
3.5 3.5 29.556900024414062 29.555999755859375 5.605500221252441 33.75579833984375 20.944000244140625 0.2370000034570694 3.8480000495910645 -9.0 -9.0 1.2369999885559082 0.2529999911785126
4.0 4.0 29.564599990844727 29.563600540161133 5.605899810791016 33.753299713134766 20.939599990844727 0.28999999165534973 3.8489999771118164 -9.0 -9.0 1.25 0.26100000739097595
4.5 4.5 29.56290054321289 29.561800003051758 5.605800151824951 33.75379943847656 20.94059944152832 0.18799999356269836 3.8459999561309814 -9.0 -9.0 1.2410000562667847 0.2680000066757202
5.0 5.0 29.56559944152832 29.56439971923828 5.605999946594238 33.752899169921875 20.93899917602539 0.210999995470047 3.8510000705718994 -9.0 -9.0 1.253000020980835 0.2630000114440918
5.5 5.5 29.566999435424805 29.56559944152832 5.606100082397461 33.75279998779297 20.938499450683594 0.20100000500679016 3.8489999771118164 -9.0 -9.0 1.246999979019165 0.2639999985694885
6.0 6.0 29.565900802612305 29.56439971923828 5.605999946594238 33.75230026245117 20.938600540161133 0.21400000154972076 3.8519999980926514 -9.0 -9.0 1.25 0.26499998569488525
6.5 6.5 29.567800521850586 29.566200256347656 5.605999946594238 33.75130081176758 20.93720054626465 0.23399999737739563 3.8499999046325684 -9.0 -9.0 1.2640000581741333 0.26499998569488525
7.0 7.0 29.56130027770996 29.559600830078125 5.605599880218506 33.75299835205078 20.94070053100586 0.20600000023841858 3.8480000495910645 -9.0 -9.0 1.2640000581741333 0.27000001072883606
7.599999904632568 7.5 29.545700073242188 29.543899536132812 5.604800224304199 33.7577018737793 20.949600219726562 0.2329999953508377 3.8429999351501465 -9.0 -9.0 1.2569999694824219 0.2680000066757202
8.100000381469727 8.0 29.497800827026367 29.495800018310547 5.6020002365112305 33.77239990234375 20.976699829101562 0.26499998569488525 3.8380000591278076 -9.0 -9.0 1.253999948501587 0.2750000059604645
8.600000381469727 8.5 29.448400497436523 29.446300506591797 5.599599838256836 33.79069900512695 21.007099151611328 0.2240000069141388 3.818000078201294 -9.0 -9.0 1.2740000486373901 0.2800000011920929
9.100000381469727 9.0 27.81279945373535 27.810699462890625 5.519599914550781 34.4114990234375 22.013700485229492 0.1889999955892563 3.6630001068115234 -9.0 -9.0 1.3589999675750732 0.3100000023841858
9.600000381469727 9.5 23.52630043029785 23.52429962158203 5.269000053405762 35.87820053100586 24.44700050354004 0.23199999332427979 3.2860000133514404 -9.0 -9.0 1.5920000076293945 0.4729999899864197
10.100000381469727 10.0 22.874399185180664 22.872299194335938 5.221199989318848 36.042301177978516 24.76129913330078 0.1599999964237213 3.0390000343322754 -9.0 -9.0 1.8079999685287476 0.6570000052452087
10.600000381469727 10.5 22.40060043334961 22.398500442504883 5.189899921417236 36.18989944458008 25.009300231933594 0.1899999976158142 2.9179999828338623 -9.0 -9.0 1.815999984741211 0.7689999938011169
11.100000381469727 11.0 22.365100860595703 22.362899780273438 5.188799858093262 36.210601806640625 25.035200119018555 0.1770000010728836 2.921999931335449 -9.0 -9.0 1.819000005722046 0.8050000071525574
11.600000381469727 11.5 22.305400848388672 22.3031005859375 5.185100078582764 36.23149871826172 25.068099975585938 0.1860000044107437 2.9110000133514404 -9.0 -9.0 1.819000005722046 0.8309999704360962
12.100000381469727 12.0 22.28619956970215 22.28380012512207 5.183899879455566 36.23780059814453 25.078399658203125 0.1720000058412552 2.878000020980835 -9.0 -9.0 1.8220000267028809 0.8360000252723694
12.600000381469727 12.5 22.284099578857422 22.281600952148438 5.184100151062012 36.24039840698242 25.08099937438965 0.1940000057220459 2.877000093460083 -9.0 -9.0 1.8259999752044678 0.8399999737739563
13.100000381469727 13.0 22.283199310302734 22.28059959411621 5.184199810028076 36.24190139770508 25.082399368286133 0.17499999701976776 2.869999885559082 -9.0 -9.0 1.8350000381469727 0.8730000257492065
13.600000381469727 13.5 22.2814998626709 22.278799057006836 5.184100151062012 36.242401123046875 25.08329963684082 0.17800000309944153 2.8580000400543213 -9.0 -9.0 1.8350000381469727 0.8679999709129333
14.100000381469727 14.0 22.28230094909668 22.279499053955078 5.184199810028076 36.242401123046875 25.083099365234375 0.18799999356269836 2.8340001106262207 -9.0 -9.0 1.8380000591278076 0.8619999885559082
14.600000381469727 14.5 22.278200149536133 22.275299072265625 5.18310022354126 36.23720169067383 25.080299377441406 -0.029999999329447746 2.7730000019073486 -9.0 -9.0 1.8389999866485596 1.0149999856948853

In total, there are 25 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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