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Dataset Title:  "NEGOM CTD - n9l11s01.nc - 27.5N, 82.85W - 2000-00-06" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n9l11s01)
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   17 options
    potentialTemperature ?  =  degree_C   17 options
    conductivity ?  =  Siemens per meter   15 options
    salinity ?  =  PSU   11 options
    sigmat ?  =  kg m-3   17 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   17 options
    parv ?  =  volts   17 options
    fluorescence ?  =  volts   17 options
    backscattering ?  =  volts   15 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 30.618600845336914 30.618000030517578 6.176599979400635 36.84450149536133 22.896099090576172 0.19599999487400055 4.052999973297119 1787.0 2.8510000705718994 1.0989999771118164 0.14300000667572021
3.0 3.0 30.6205997467041 30.619800567626953 6.1768999099731445 36.844600677490234 22.89550018310547 0.22300000488758087 4.09499979019165 1431.0 2.757999897003174 0.9559999704360962 0.16300000250339508
3.5 3.5 30.623199462890625 30.622299194335938 6.177199840545654 36.84489822387695 22.894899368286133 0.28299999237060547 4.1020002365112305 1447.0 2.7639999389648438 1.097000002861023 0.18299999833106995
4.0 4.0 30.622400283813477 30.621400833129883 6.17710018157959 36.84479904174805 22.895099639892578 0.27799999713897705 4.1020002365112305 1214.0 2.686000108718872 1.1399999856948853 0.1889999955892563
4.5 4.5 30.607999801635742 30.60689926147461 6.1753997802734375 36.84410095214844 22.899599075317383 0.20999999344348907 4.099999904632568 1098.0 2.6459999084472656 1.1519999504089355 0.18000000715255737
5.0 5.0 30.603300094604492 30.601999282836914 6.174900054931641 36.84410095214844 22.90130043029785 0.3479999899864197 4.0920000076293945 1025.0 2.61899995803833 1.1349999904632568 0.18000000715255737
5.5 5.5 30.600299835205078 30.598899841308594 6.174600124359131 36.84400177001953 22.902299880981445 0.21299999952316284 4.089000225067139 923.7000122070312 2.572000026702881 1.149999976158142 0.1809999942779541
6.0 6.0 30.58989906311035 30.58839988708496 6.173399925231934 36.84360122680664 22.90570068359375 0.26899999380111694 4.085000038146973 865.5 2.5439999103546143 1.1729999780654907 0.1809999942779541
6.5 6.5 30.58049964904785 30.578800201416016 6.172399997711182 36.84379959106445 22.90920066833496 0.25099998712539673 4.079999923706055 788.5999755859375 2.50600004196167 1.180999994277954 0.1860000044107437
7.0 7.0 30.57939910888672 30.577600479125977 6.172299861907959 36.84370040893555 22.90959930419922 0.3319999873638153 4.072999954223633 683.0 2.443000078201294 1.1829999685287476 0.1899999976158142
7.599999904632568 7.5 30.583799362182617 30.581899642944336 6.172900199890137 36.84400177001953 22.908300399780273 0.24500000476837158 4.066999912261963 650.4000244140625 2.421999931335449 1.1970000267028809 0.1979999989271164
8.100000381469727 8.0 30.5762996673584 30.57430076599121 6.171999931335449 36.84389877319336 22.91080093383789 0.41200000047683716 4.065999984741211 574.0999755859375 2.368000030517578 1.1920000314712524 0.1940000057220459
8.600000381469727 8.5 30.574199676513672 30.57200050354004 6.171800136566162 36.844200134277344 22.911800384521484 0.25699999928474426 4.064000129699707 545.0999755859375 2.3450000286102295 1.2029999494552612 0.19200000166893005
9.100000381469727 9.0 30.575599670410156 30.573299407958984 6.171999931335449 36.84400177001953 22.911300659179688 0.421999990940094 4.064000129699707 502.6000061035156 2.309000015258789 1.2100000381469727 0.19300000369548798
9.600000381469727 9.5 30.572599411010742 30.570199966430664 6.1717000007629395 36.84389877319336 22.912200927734375 0.24799999594688416 4.059000015258789 459.0 2.2699999809265137 1.225000023841858 0.19699999690055847
10.100000381469727 10.0 30.55929946899414 30.556800842285156 6.170199871063232 36.844200134277344 22.917200088500977 0.2930000126361847 4.060999870300293 421.1000061035156 2.2330000400543213 1.2369999885559082 0.19099999964237213
10.600000381469727 10.5 30.558500289916992 30.55579948425293 6.170199871063232 36.84410095214844 22.917400360107422 -0.1720000058412552 4.038000106811523 401.8999938964844 2.2130000591278076 1.2450000047683716 0.20200000703334808

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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