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Dataset Title:  "NEGOM CTD - n9l03s00.nc - 30.15N, 88.09W - 2000-07-30" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l03s00)
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: 18)
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   18 options
    depth ?  =  m   18 options
    temperature ?  =  degree_C   18 options
    potentialTemperature ?  =  degree_C   18 options
    conductivity ?  =  Siemens per meter   18 options
    salinity ?  =  PSU   18 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   18 options
    transmission ?  =  percent   18 options
    par ?  =  umol m-2 s-1   18 options
    parv ?  =  volts   18 options
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   17 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 29.18470001220703 29.184200286865234 5.646900177001953 34.301998138427734 21.478599548339844 -0.12700000405311584 4.0320000648498535 737.2000122070312 2.4609999656677246 1.1410000324249268 0.27000001072883606
2.5 2.5 29.147300720214844 29.146699905395508 5.6468000411987305 34.32780075073242 21.510400772094727 0.4429999887943268 3.9509999752044678 331.79998779296875 2.132999897003174 1.1729999780654907 0.35499998927116394
3.0 3.0 29.165700912475586 29.165000915527344 5.647200107574463 34.31719970703125 21.496400833129883 0.2160000056028366 3.947999954223633 273.1000061035156 2.0450000762939453 1.2000000476837158 0.3799999952316284
3.5 3.5 29.14859962463379 29.1476993560791 5.64739990234375 34.33100128173828 21.512500762939453 0.32499998807907104 4.017000198364258 246.60000610351562 2.000999927520752 1.1890000104904175 0.34700000286102295
4.0 4.0 29.154199600219727 29.153200149536133 5.64769983291626 34.32899856567383 21.509199142456055 0.24899999797344208 4.0 221.6999969482422 1.9539999961853027 1.1610000133514404 0.2630000114440918
4.5 4.5 29.124500274658203 29.12339973449707 5.650899887084961 34.37189865112305 21.55139923095703 0.3100000023841858 3.9709999561309814 180.3000030517578 1.8630000352859497 1.1920000314712524 0.3709999918937683
5.0 5.0 28.89069938659668 28.88949966430664 5.6519999504089355 34.548301696777344 21.76180076599121 0.20999999344348907 3.934999942779541 153.8000030517578 1.7960000038146973 1.1929999589920044 0.4490000009536743
5.5 5.5 28.84160041809082 28.840299606323242 5.651400089263916 34.57939910888672 21.801599502563477 0.21899999678134918 3.8559999465942383 132.6999969482422 1.7309999465942383 1.25600004196167 0.48899999260902405
6.0 6.0 28.804500579833984 28.80299949645996 5.657299995422363 34.64670181274414 21.864500045776367 0.3529999852180481 3.8259999752044678 113.5 1.6640000343322754 1.2549999952316284 0.45500001311302185
6.5 6.5 28.804899215698242 28.803300857543945 5.6620001792907715 34.679100036621094 21.888700485229492 0.23999999463558197 3.7739999294281006 99.06999969482422 1.6050000190734863 1.2519999742507935 0.48100000619888306
7.0 7.0 28.815099716186523 28.813400268554688 5.667699813842773 34.71080017089844 21.909099578857422 0.27399998903274536 3.7869999408721924 92.08999633789062 1.5729999542236328 1.2549999952316284 0.5059999823570251
7.599999904632568 7.5 28.79990005493164 28.798099517822266 5.678599834442139 34.7963981628418 21.978500366210938 0.24400000274181366 3.7990000247955322 80.37000274658203 1.5140000581741333 1.2699999809265137 0.4490000009536743
8.100000381469727 8.0 28.636999130249023 28.635099411010742 5.665599822998047 34.82569885253906 22.05470085144043 0.1770000010728836 3.8389999866485596 69.33999633789062 1.4500000476837158 1.2619999647140503 0.3919999897480011
8.600000381469727 8.5 27.424400329589844 27.422399520874023 5.57420015335083 35.084999084472656 22.64620018005371 0.17499999701976776 3.690000057220459 63.439998626708984 1.4110000133514404 1.2669999599456787 0.4560000002384186
9.100000381469727 9.0 27.13960075378418 27.137500762939453 5.555500030517578 35.16640090942383 22.799100875854492 0.2720000147819519 3.321000099182129 58.36000061035156 1.375 1.4270000457763672 0.847000002861023
9.600000381469727 9.5 26.079599380493164 26.077499389648438 5.492700099945068 35.52470016479492 23.405099868774414 0.18299999833106995 2.7760000228881836 51.150001525878906 1.3179999589920044 1.593999981880188 1.2380000352859497
10.100000381469727 10.0 25.56800079345703 25.565799713134766 5.462699890136719 35.704200744628906 23.69969940185547 0.2800000011920929 2.2109999656677246 42.65999984741211 1.2380000352859497 1.656999945640564 1.5549999475479126
10.600000381469727 10.5 25.376300811767578 25.374000549316406 5.453100204467773 35.78369903564453 23.819000244140625 0.0 2.3889999389648438 31.719999313354492 1.1160000562667847 1.6519999504089355 2.0859999656677246

In total, there are 18 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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