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Dataset Title:  "NEGOM CTD - n5l03s00.nc - 30.16N, 88.09W - 1999-05-26" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n5l03s00)
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   16 options
    salinity ?  =  PSU   17 options
    sigmat ?  =  kg m-3   17 options
    descentRate ?  =  meters per second   17 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   17 options
    parv ?  =  volts   17 options
    fluorescence ?  =  volts   16 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
2.5 2.5 26.265199661254883 26.26460075378418 4.533100128173828 28.532100677490234 18.081600189208984 -0.0820000022649765 3.5460000038146973 823.5999755859375 2.5160000324249268 1.7799999713897705 1.0880000591278076
3.0 3.0 26.263099670410156 26.262399673461914 4.533100128173828 28.533599853515625 18.08340072631836 0.36399999260902405 3.546999931335449 1014.0 2.61299991607666 1.7960000038146973 1.062999963760376
3.5 3.5 26.262800216674805 26.261999130249023 4.533400058746338 28.53569984436035 18.085100173950195 0.37299999594688416 3.5480000972747803 668.7999877929688 2.427999973297119 1.7940000295639038 1.1019999980926514
4.0 4.0 26.258699417114258 26.25779914855957 4.534599781036377 28.546199798583984 18.09429931640625 0.24799999594688416 3.5380001068115234 400.8999938964844 2.2070000171661377 1.7879999876022339 1.0889999866485596
4.5 4.5 26.093599319458008 26.092599868774414 4.589900016784668 29.039100646972656 18.515199661254883 0.29600000381469727 3.5369999408721924 300.1000061035156 2.0859999656677246 1.8270000219345093 1.065999984741211
5.0 5.0 25.662200927734375 25.661100387573242 4.698599815368652 30.089599609375 19.43670082092285 0.25200000405311584 3.5510001182556152 247.5 2.002000093460083 1.8220000267028809 1.1059999465942383
5.5 5.5 25.392499923706055 25.391300201416016 4.792099952697754 30.94179916381836 20.160200119018555 0.37599998712539673 3.703000068664551 198.39999389648438 1.906000018119812 1.805999994277954 1.1169999837875366
6.099999904632568 6.0 24.768400192260742 24.767099380493164 4.896500110626221 32.137298583984375 21.24920082092285 0.22599999606609344 3.8269999027252197 164.10000610351562 1.8240000009536743 1.690000057220459 1.034999966621399
6.599999904632568 6.5 24.141000747680664 24.13960075378418 4.94950008392334 32.98509979248047 22.075700759887695 0.2529999911785126 3.9079999923706055 133.8000030517578 1.7339999675750732 1.6150000095367432 0.9459999799728394
7.099999904632568 7.0 23.79010009765625 23.78860092163086 4.958600044250488 33.31439971923828 22.42770004272461 0.26499998569488525 3.984999895095825 116.30000305175781 1.6740000247955322 1.5509999990463257 0.8640000224113464
7.599999904632568 7.5 23.422000885009766 23.420400619506836 4.982800006866455 33.77560043334961 22.88409996032715 0.17100000381469727 4.0229997634887695 99.31999969482422 1.6059999465942383 1.5520000457763672 0.8240000009536743
8.100000381469727 8.0 23.260700225830078 23.25909996032715 4.999300003051758 34.02519989013672 23.119800567626953 0.24400000274181366 4.059999942779541 95.0199966430664 1.5859999656677246 1.6150000095367432 0.777999997138977
8.600000381469727 8.5 23.1117000579834 23.110000610351562 5.002799987792969 34.167198181152344 23.27050018310547 0.2540000081062317 3.9590001106262207 83.54000091552734 1.5299999713897705 1.6169999837875366 0.7929999828338623
9.100000381469727 9.0 22.805500030517578 22.803699493408203 5.017600059509277 34.52050018310547 23.626300811767578 0.15600000321865082 3.575000047683716 75.5199966430664 1.4869999885559082 1.6990000009536743 0.8230000138282776
9.600000381469727 9.5 22.378700256347656 22.376800537109375 5.045300006866455 35.07619857788086 24.169599533081055 0.1809999942779541 3.2709999084472656 73.11000061035156 1.4730000495910645 1.7929999828338623 1.1160000562667847
10.100000381469727 10.0 22.13990020751953 22.13789939880371 5.054100036621094 35.33829879760742 24.436100006103516 0.12200000137090683 2.763000011444092 68.38999938964844 1.444000005722046 1.909999966621399 1.399999976158142
10.600000381469727 10.5 22.11039924621582 22.108299255371094 5.053100109100342 35.35419845581055 24.456600189208984 -0.07900000363588333 2.131999969482422 62.04999923706055 1.402999997138977 1.944000005722046 1.8229999542236328

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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