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Dataset Title:  "NEGOM CTD - n8l11s01.nc - 27.5N, 82.85W - 2000-04-15" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l11s01)
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   15 options
    salinity ?  =  PSU   16 options
    sigmat ?  =  kg m-3   18 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   16 options
    par ?  =  umol m-2 s-1   18 options
    parv ?  =  volts   18 options
    fluorescence ?  =  volts   16 options
    backscattering ?  =  volts   18 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 22.513999938964844 22.513599395751953 5.219600200653076 36.331298828125 25.083799362182617 0.1080000028014183 4.14900016784668 1963.0 2.8970000743865967 1.1380000114440918 0.23399999737739563
2.5 2.5 22.511999130249023 22.511499404907227 5.219399929046631 36.33100128173828 25.084299087524414 0.2029999941587448 4.158999919891357 1935.0 2.8910000324249268 1.1200000047683716 0.14800000190734863
3.0 3.0 22.514400482177734 22.5137996673584 5.219600200653076 36.3306999206543 25.08340072631836 0.1940000057220459 4.1539998054504395 1706.0 2.8329999446868896 1.1299999952316284 0.23899999260902405
3.5 3.5 22.51259994506836 22.51180076599121 5.219399929046631 36.3307991027832 25.083999633789062 0.20100000500679016 4.158999919891357 1478.0 2.7750000953674316 1.1380000114440918 0.3310000002384186
4.0 4.0 22.529699325561523 22.528900146484375 5.22130012512207 36.3306999206543 25.07900047302246 0.23100000619888306 4.1539998054504395 1273.0 2.7100000381469727 1.1749999523162842 0.3619999885559082
4.5 4.5 22.50860023498535 22.507699966430664 5.218900203704834 36.32929992675781 25.0841007232666 0.18199999630451202 4.15500020980835 1194.0 2.683000087738037 1.1430000066757202 0.3799999952316284
5.0 5.0 22.446500778198242 22.445499420166016 5.212299823760986 36.3297004699707 25.102100372314453 0.19300000369548798 4.1570000648498535 1186.0 2.680000066757202 1.1430000066757202 0.37599998712539673
5.5 5.5 22.45330047607422 22.452199935913086 5.212900161743164 36.328399658203125 25.099300384521484 0.24400000274181366 4.144999980926514 1061.0 2.630000114440918 1.1720000505447388 0.3720000088214874
6.0 6.0 22.46940040588379 22.46820068359375 5.215000152587891 36.331199645996094 25.096799850463867 0.4129999876022339 4.138000011444092 961.5 2.5899999141693115 1.2039999961853027 0.36800000071525574
6.5 6.5 22.415199279785156 22.413799285888672 5.208799839019775 36.32749938964844 25.109500885009766 0.27399998903274536 4.133999824523926 896.0999755859375 2.559999942779541 1.2029999494552612 0.3970000147819519
7.0 7.0 22.389299392700195 22.387800216674805 5.206200122833252 36.32849884033203 25.117700576782227 0.25 4.135000228881836 839.0 2.5299999713897705 1.215999960899353 0.38999998569488525
7.599999904632568 7.5 22.381399154663086 22.379899978637695 5.205399990081787 36.328399658203125 25.119800567626953 0.1850000023841858 4.132999897003174 779.4000244140625 2.499000072479248 1.2510000467300415 0.37299999594688416
8.100000381469727 8.0 22.37619972229004 22.37459945678711 5.204800128936768 36.32830047607422 25.121299743652344 0.2150000035762787 4.129000186920166 738.2999877929688 2.4749999046325684 1.2630000114440918 0.38600000739097595
8.600000381469727 8.5 22.371299743652344 22.369600296020508 5.2042999267578125 36.32780075073242 25.122400283813477 0.25999999046325684 4.119999885559082 656.7000122070312 2.424999952316284 1.281000018119812 0.3889999985694885
9.100000381469727 9.0 22.367300033569336 22.365400314331055 5.203800201416016 36.327301025390625 25.123199462890625 0.2150000035762787 4.116000175476074 612.2999877929688 2.3959999084472656 1.2940000295639038 0.3790000081062317
9.600000381469727 9.5 22.366899490356445 22.364999771118164 5.203800201416016 36.32740020751953 25.12339973449707 0.1889999955892563 4.111000061035156 546.0 2.3459999561309814 1.319000005722046 0.4009999930858612
10.100000381469727 10.0 22.365999221801758 22.36400032043457 5.20359992980957 36.326698303222656 25.12310028076172 0.25099998712539673 4.105999946594238 515.2999877929688 2.321000099182129 1.3389999866485596 0.4000000059604645
10.600000381469727 10.5 22.3572998046875 22.355100631713867 5.202300071716309 36.323699951171875 25.123300552368164 -0.07599999755620956 4.090000152587891 493.8999938964844 2.302999973297119 1.3830000162124634 0.5120000243186951

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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