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Dataset Title:  "NEGOM CTD - n8l03s00.nc - 30.16N, 88.09W - 2000-04-24" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l03s00)
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   1 option: 2.4600000381469727
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   18 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 21.20549964904785 21.20509910583496 3.9447999000549316 27.379100799560547 18.649900436401367 0.257999986410141 1.8240000009536743 2.4600000381469727 0.0 1.61899995803833 3.2070000171661377
2.5 2.5 21.335800170898438 21.33530044555664 4.060999870300293 28.19179916381836 19.231700897216797 0.1720000058412552 1.9149999618530273 2.4600000381469727 0.0 1.5839999914169312 3.13700008392334
3.0 3.0 21.39109992980957 21.390499114990234 4.102499961853027 28.47599983215332 19.4325008392334 0.22499999403953552 2.0320000648498535 2.4600000381469727 0.0 1.5800000429153442 2.937000036239624
3.5 3.5 21.46489906311035 21.46430015563965 4.154699802398682 28.830699920654297 19.681800842285156 0.17599999904632568 2.239000082015991 2.4600000381469727 0.0 1.5390000343322754 2.802000045776367
4.0 4.0 21.51219940185547 21.51140022277832 4.185200214385986 29.03459930419922 19.82390022277832 0.17900000512599945 2.246999979019165 2.4600000381469727 0.0 1.5210000276565552 2.5409998893737793
4.5 4.5 21.526599884033203 21.525699615478516 4.194200038909912 29.093599319458008 19.86479949951172 0.36000001430511475 2.3910000324249268 2.4600000381469727 0.0 1.5269999504089355 2.5360000133514404
5.0 5.0 21.55769920349121 21.556800842285156 4.212100028991699 29.211200714111328 19.945600509643555 0.34700000286102295 2.509999990463257 2.4600000381469727 0.0 1.503000020980835 2.5369999408721924
5.5 5.5 21.619600296020508 21.618499755859375 4.254700183868408 29.498199462890625 20.1466007232666 0.4779999852180481 2.759000062942505 2.4600000381469727 0.0 1.4739999771118164 2.3410000801086426
6.0 6.0 21.69879913330078 21.69770050048828 4.314300060272217 29.903900146484375 20.432899475097656 0.32100000977516174 3.053999900817871 2.4600000381469727 0.0 1.4299999475479126 2.0360000133514404
6.5 6.5 21.799299240112305 21.798099517822266 4.4004998207092285 30.50079917907715 20.858299255371094 0.2290000021457672 3.3459999561309814 2.4600000381469727 0.0 1.3880000114440918 1.7549999952316284
7.0 7.0 21.84079933166504 21.839500427246094 4.440400123596191 30.780000686645508 21.058799743652344 0.27000001072883606 3.640000104904175 2.4600000381469727 0.0 1.3170000314712524 1.3580000400543213
7.599999904632568 7.5 21.8439998626709 21.842500686645508 4.445000171661377 30.81329917907715 21.083200454711914 0.2460000067949295 3.757999897003174 2.4600000381469727 0.0 1.2979999780654907 0.9610000252723694
8.100000381469727 8.0 21.84309959411621 21.84160041809082 4.4492998123168945 30.846599578857422 21.108699798583984 0.2160000056028366 3.822999954223633 2.4600000381469727 0.0 1.284000039100647 0.7770000100135803
8.600000381469727 8.5 21.815900802612305 21.814199447631836 4.452000141143799 30.88719940185547 21.146900177001953 0.4729999899864197 3.812999963760376 2.4600000381469727 0.0 1.2879999876022339 0.5590000152587891
9.100000381469727 9.0 21.630599975585938 21.6289005279541 4.478499889373779 31.22610092163086 21.454500198364258 0.36399999260902405 3.3959999084472656 2.4600000381469727 0.0 1.2960000038146973 0.5109999775886536
9.600000381469727 9.5 21.173500061035156 21.17169952392578 4.512700080871582 31.83169937133789 22.037700653076172 0.5879999995231628 2.0429999828338623 2.4600000381469727 0.0 1.3990000486373901 0.878000020980835
10.100000381469727 10.0 20.278600692749023 20.27680015563965 4.668099880218506 33.7661018371582 23.74810028076172 0.3840000033378601 0.3919999897480011 2.4600000381469727 0.0 1.555999994277954 1.777999997138977
10.600000381469727 10.5 20.020200729370117 20.018299102783203 4.739299774169922 34.548500061035156 24.412500381469727 0.0820000022649765 0.03400000184774399 2.4600000381469727 0.0 1.7489999532699585 5.679999828338623

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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