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Dataset Title:  "NEGOM CTD - n7la8s03.nc - 29.38N, 85.0W - 1999-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n7la8s03)
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: 43)
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   43 options
    depth ?  =  m   43 options
    temperature ?  =  degree_C   37 options
    potentialTemperature ?  =  degree_C   38 options
    conductivity ?  =  Siemens per meter   17 options
    salinity ?  =  PSU   17 options
    sigmat ?  =  kg m-3   32 options
    descentRate ?  =  meters per second   38 options
    transmission ?  =  percent   27 options
    par ?  =  umol m-2 s-1   43 options
    parv ?  =  volts   43 options
    fluorescence ?  =  volts   39 options
    backscattering ?  =  volts   36 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 21.027799606323242 21.027299880981445 4.934700012207031 35.30540084838867 24.7189998626709 0.20800000429153442 3.9760000705718994 1037.0 3.315000057220459 1.4199999570846558 0.3790000081062317
3.0 3.0 21.02739906311035 21.02680015563965 4.934599876403809 35.305198669433594 24.7189998626709 0.18799999356269836 3.9649999141693115 871.0999755859375 3.239000082015991 1.4220000505447388 0.3799999952316284
3.5 3.5 21.02750015258789 21.02680015563965 4.934800148010254 35.30590057373047 24.719499588012695 0.2280000001192093 3.9749999046325684 742.2999877929688 3.1689999103546143 1.3960000276565552 0.38100001215934753
4.0 4.0 21.027599334716797 21.02680015563965 4.934800148010254 35.30609893798828 24.71969985961914 0.24300000071525574 3.9749999046325684 641.0999755859375 3.1059999465942383 1.4140000343322754 0.37400001287460327
4.5 4.5 21.02739906311035 21.026500701904297 4.934800148010254 35.305999755859375 24.719600677490234 0.2750000059604645 3.9679999351501465 588.2999877929688 3.066999912261963 1.472000002861023 0.35499998927116394
5.0 5.0 21.026899337768555 21.02589988708496 4.934800148010254 35.305999755859375 24.71980094909668 0.30300000309944153 3.9670000076293945 541.7999877929688 3.0329999923706055 1.4539999961853027 0.37299999594688416
5.5 5.5 21.02280044555664 21.021699905395508 4.934199810028076 35.304901123046875 24.72010040283203 0.23100000619888306 3.9630000591278076 480.8999938964844 2.9800000190734863 1.4320000410079956 0.39100000262260437
6.0 6.0 21.020000457763672 21.018800735473633 4.933899879455566 35.304500579833984 24.720600128173828 0.3179999887943268 3.9660000801086426 453.70001220703125 2.9560000896453857 1.4780000448226929 0.40400001406669617
6.5 6.5 21.020200729370117 21.018999099731445 4.934000015258789 35.30459976196289 24.720600128173828 0.21199999749660492 3.9660000801086426 438.8999938964844 2.940999984741211 1.5299999713897705 0.3840000033378601
7.0 7.0 21.021299362182617 21.020000457763672 4.934100151062012 35.30459976196289 24.720399856567383 0.2840000092983246 3.9579999446868896 397.5 2.8980000019073486 1.5509999990463257 0.3700000047683716
7.599999904632568 7.5 21.01689910888672 21.015499114990234 4.933700084686279 35.3046989440918 24.72170066833496 0.24699999392032623 3.9609999656677246 370.5 2.867000102996826 1.5880000591278076 0.38999998569488525
8.100000381469727 8.0 21.021699905395508 21.020200729370117 4.934199810028076 35.304901123046875 24.720600128173828 0.28299999237060547 3.9570000171661377 322.8999938964844 2.808000087738037 1.6050000190734863 0.4099999964237213
8.600000381469727 8.5 21.022300720214844 21.020700454711914 4.934199810028076 35.304100036621094 24.71980094909668 0.22300000488758087 3.9649999141693115 297.20001220703125 2.7720000743865967 1.6150000095367432 0.3970000147819519
9.100000381469727 9.0 21.015100479125977 21.013399124145508 4.933599948883057 35.304901123046875 24.722400665283203 0.2759999930858612 3.9609999656677246 266.0 2.7230000495910645 1.600000023841858 0.3840000033378601
9.600000381469727 9.5 21.016799926757812 21.014999389648438 4.933800220489502 35.30459976196289 24.72170066833496 0.2809999883174896 3.9630000591278076 237.3000030517578 2.6740000247955322 1.6230000257492065 0.36399999260902405
10.100000381469727 10.0 21.01759910583496 21.01569938659668 4.933800220489502 35.304100036621094 24.721099853515625 0.2639999985694885 3.9570000171661377 222.10000610351562 2.6459999084472656 1.6180000305175781 0.39399999380111694
10.600000381469727 10.5 21.01689910888672 21.01490020751953 4.933800220489502 35.304500579833984 24.72170066833496 0.2199999988079071 3.9539999961853027 194.8000030517578 2.5889999866485596 1.5870000123977661 0.4000000059604645
11.100000381469727 11.0 21.01650047302246 21.014400482177734 4.933800220489502 35.30419921875 24.721599578857422 0.3529999852180481 3.9570000171661377 169.0 2.5260000228881836 1.6269999742507935 0.40700000524520874
11.600000381469727 11.5 21.01490020751953 21.012699127197266 4.933700084686279 35.30459976196289 24.722400665283203 0.28299999237060547 3.9590001106262207 161.60000610351562 2.507999897003174 1.6480000019073486 0.40700000524520874
12.100000381469727 12.0 21.017000198364258 21.014699935913086 4.933800220489502 35.30390167236328 24.72130012512207 0.35100001096725464 3.9619998931884766 147.89999389648438 2.4690001010894775 1.61899995803833 0.41100001335144043
12.600000381469727 12.5 21.015100479125977 21.012699127197266 4.933700084686279 35.304500579833984 24.722299575805664 0.5740000009536743 3.9519999027252197 135.10000610351562 2.430000066757202 1.6230000257492065 0.4020000100135803
13.100000381469727 13.0 21.015199661254883 21.012699127197266 4.933800220489502 35.3046989440918 24.72249984741211 0.37299999594688416 3.9489998817443848 120.30000305175781 2.378999948501587 1.621000051498413 0.40400001406669617
13.600000381469727 13.5 21.017000198364258 21.014400482177734 4.934000015258789 35.305301666259766 24.72249984741211 0.460999995470047 3.946000099182129 115.30000305175781 2.3610000610351562 1.6419999599456787 0.4059999883174896
14.100000381469727 14.0 21.016700744628906 21.013999938964844 4.933899879455566 35.304500579833984 24.722000122070312 0.47200000286102295 3.943000078201294 99.88999938964844 2.2980000972747803 1.6339999437332153 0.39500001072883606
14.600000381469727 14.5 21.015100479125977 21.012300491333008 4.933800220489502 35.30459976196289 24.72249984741211 0.2460000067949295 3.953000068664551 90.19000244140625 2.253999948501587 1.6260000467300415 0.3840000033378601
15.100000381469727 15.0 21.012300491333008 21.0093994140625 4.933599948883057 35.304901123046875 24.723499298095703 0.335999995470047 3.953000068664551 82.87000274658203 2.2179999351501465 1.6109999418258667 0.36800000071525574
15.600000381469727 15.5 21.009899139404297 21.006900787353516 4.9334001541137695 35.30509948730469 24.724300384521484 0.43799999356269836 3.953000068664551 76.04000091552734 2.180000066757202 1.590000033378601 0.38600000739097595
16.100000381469727 16.0 21.00979995727539 21.00670051574707 4.9334001541137695 35.30509948730469 24.72439956665039 0.28999999165534973 3.9579999446868896 68.70999908447266 2.135999917984009 1.6030000448226929 0.382999986410141
16.600000381469727 16.5 21.011699676513672 21.008499145507812 4.933599948883057 35.30509948730469 24.723899841308594 0.2540000081062317 3.941999912261963 64.05000305175781 2.1059999465942383 1.6330000162124634 0.4259999990463257
17.100000381469727 17.0 21.010299682617188 21.006999969482422 4.933499813079834 35.305301666259766 24.72450065612793 0.3790000081062317 3.944999933242798 57.380001068115234 2.058000087738037 1.6069999933242798 0.4699999988079071
17.600000381469727 17.5 21.01140022277832 21.007999420166016 4.933599948883057 35.305198669433594 24.72410011291504 0.2549999952316284 3.9560000896453857 52.81999969482422 2.0220000743865967 1.6399999856948853 0.414000004529953
18.100000381469727 18.0 21.011899948120117 21.008399963378906 4.933700084686279 35.305301666259766 24.72410011291504 0.2280000001192093 3.9590001106262207 48.2400016784668 1.9830000400543213 1.6540000438690186 0.3569999933242798
18.600000381469727 18.5 21.01219940185547 21.00860023498535 4.933800220489502 35.305198669433594 24.723899841308594 0.28200000524520874 3.9570000171661377 44.15999984741211 1.944000005722046 1.5839999914169312 0.3930000066757202
19.100000381469727 19.0 21.0093994140625 21.005699157714844 4.933499813079834 35.305198669433594 24.724700927734375 0.31299999356269836 3.9579999446868896 40.91999816894531 1.9110000133514404 1.5809999704360962 0.39500001072883606
19.600000381469727 19.5 21.007200241088867 21.003400802612305 4.933300018310547 35.305198669433594 24.725400924682617 0.20200000703334808 3.9489998817443848 36.27000045776367 1.8580000400543213 1.593000054359436 0.3959999978542328
20.100000381469727 20.0 21.00950050354004 21.005599975585938 4.933499813079834 35.30500030517578 24.724599838256836 0.3089999854564667 3.9619998931884766 33.84000015258789 1.8289999961853027 1.565000057220459 0.43700000643730164
20.600000381469727 20.5 21.004100799560547 21.000200271606445 4.933000087738037 35.305198669433594 24.726299285888672 0.37599998712539673 3.937999963760376 31.93000030517578 1.8029999732971191 1.5959999561309814 0.45399999618530273
21.100000381469727 21.0 21.00119972229004 20.99720001220703 4.932700157165527 35.305198669433594 24.727100372314453 0.21199999749660492 3.936000108718872 28.110000610351562 1.7480000257492065 1.5920000076293945 0.4699999988079071
21.600000381469727 21.5 21.002700805664062 20.998600006103516 4.9328999519348145 35.30540084838867 24.7268009185791 0.37299999594688416 3.934999942779541 26.739999771118164 1.7259999513626099 1.5809999704360962 0.4860000014305115
22.200000762939453 22.0 21.00200080871582 20.997800827026367 4.9328999519348145 35.305599212646484 24.72719955444336 0.25600001215934753 3.934000015258789 24.0 1.6790000200271606 1.5870000123977661 0.4399999976158142
22.700000762939453 22.5 21.003700256347656 20.999399185180664 4.93310022354126 35.30509948730469 24.72640037536621 0.21899999678134918 3.927000045776367 21.6299991607666 1.6339999437332153 1.5839999914169312 0.4580000042915344
23.200000762939453 23.0 21.002700805664062 20.998300552368164 4.933000087738037 35.305198669433594 24.726699829101562 0.2540000081062317 3.921999931335449 19.940000534057617 1.5989999771118164 1.5729999542236328 0.47600001096725464
23.700000762939453 23.5 21.007299423217773 21.00279998779297 4.9334001541137695 35.3047981262207 24.725200653076172 -0.20000000298023224 3.936000108718872 17.15999984741211 1.5360000133514404 1.5470000505447388 0.4099999964237213

In total, there are 43 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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