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Dataset Title:  "NEGOM CTD - n8l07s01.nc - 29.69N, 85.48W - 2000-04-20" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n8l07s01)
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: 33)
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   33 options
    depth ?  =  m   33 options
    temperature ?  =  degree_C   31 options
    potentialTemperature ?  =  degree_C   32 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   30 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   31 options
    transmission ?  =  percent   17 options
    par ?  =  umol m-2 s-1   33 options
    parv ?  =  volts   33 options
    fluorescence ?  =  volts   32 options
    backscattering ?  =  volts   26 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 21.44339942932129 21.44300079345703 4.997900009155273 35.46780014038086 24.728500366210938 0.164000004529953 4.269000053405762 1267.0 2.694999933242798 0.9330000281333923 0.11100000143051147
2.5 2.5 21.443599700927734 21.443099975585938 4.998000144958496 35.46820068359375 24.72879981994629 0.19599999487400055 4.269999980926514 1003.0 2.6059999465942383 0.9409999847412109 0.11599999666213989
3.0 3.0 21.442800521850586 21.44219970703125 4.997900009155273 35.46770095825195 24.728599548339844 0.31200000643730164 4.271999835968018 907.2000122070312 2.565999984741211 0.9350000023841858 0.12099999934434891
3.5 3.5 21.441600799560547 21.440900802612305 4.997700214385986 35.467498779296875 24.72879981994629 0.2240000069141388 4.270999908447266 849.5999755859375 2.5360000133514404 0.9879999756813049 0.12300000339746475
4.0 4.0 21.4419002532959 21.441200256347656 4.997799873352051 35.46770095825195 24.729000091552734 0.18799999356269836 4.270999908447266 686.2999877929688 2.443000078201294 0.984000027179718 0.12399999797344208
4.5 4.5 21.442899703979492 21.441999435424805 4.997900009155273 35.46770095825195 24.728700637817383 0.2619999945163727 4.2729997634887695 714.4000244140625 2.4609999656677246 0.9549999833106995 0.11800000071525574
5.0 5.0 21.443500518798828 21.44260025024414 4.9980998039245605 35.46799850463867 24.72879981994629 0.25099998712539673 4.271999835968018 554.2000122070312 2.3499999046325684 0.9589999914169312 0.12300000339746475
5.5 5.5 21.442699432373047 21.441600799560547 4.9980998039245605 35.46860122680664 24.72949981689453 0.18000000715255737 4.269999980926514 634.0 2.4019999504089355 0.9750000238418579 0.11900000274181366
6.0 6.0 21.43939971923828 21.438199996948242 4.997900009155273 35.470001220703125 24.73150062561035 0.2849999964237213 4.269999980926514 520.2000122070312 2.322999954223633 1.0130000114440918 0.12099999934434891
6.5 6.5 21.43939971923828 21.438100814819336 4.998000144958496 35.470001220703125 24.731599807739258 0.2280000001192093 4.270999908447266 454.79998779296875 2.26200008392334 0.9919999837875366 0.11699999868869781
7.0 7.0 21.44059944152832 21.439199447631836 4.998199939727783 35.47100067138672 24.73200035095215 0.1889999955892563 4.271999835968018 456.6000061035156 2.2669999599456787 0.9739999771118164 0.12399999797344208
7.599999904632568 7.5 21.44099998474121 21.439599990844727 4.998899936676025 35.47610092163086 24.73579978942871 0.27000001072883606 4.267000198364258 391.20001220703125 2.2009999752044678 0.9980000257492065 0.12300000339746475
8.100000381469727 8.0 21.443599700927734 21.441999435424805 4.999899864196777 35.481300354003906 24.73900032043457 0.24400000274181366 4.269000053405762 380.6000061035156 2.187999963760376 1.0010000467300415 0.12300000339746475
8.600000381469727 8.5 21.445100784301758 21.443500518798828 5.0005998611450195 35.48590087890625 24.74220085144043 0.19300000369548798 4.267000198364258 375.5 2.180000066757202 1.0529999732971191 0.12800000607967377
9.100000381469727 9.0 21.443199157714844 21.4414005279541 5.0040998458862305 35.51470184326172 24.764699935913086 0.23899999260902405 4.26800012588501 361.8999938964844 2.1589999198913574 1.0299999713897705 0.12200000137090683
9.600000381469727 9.5 21.42970085144043 21.427799224853516 5.0046000480651855 35.53020095825195 24.78019905090332 0.25699999928474426 4.269000053405762 308.6000061035156 2.0940001010894775 1.0119999647140503 0.1289999932050705
10.100000381469727 10.0 21.425399780273438 21.42340087890625 5.004799842834473 35.535400390625 24.785400390625 0.1979999989271164 4.26800012588501 300.20001220703125 2.0850000381469727 1.0049999952316284 0.14000000059604645
10.600000381469727 10.5 21.418500900268555 21.416400909423828 5.005000114440918 35.541900634765625 24.792200088500977 0.23600000143051147 4.26800012588501 272.70001220703125 2.0439999103546143 1.0429999828338623 0.14000000059604645
11.100000381469727 11.0 21.39590072631836 21.393699645996094 5.003499984741211 35.54890060424805 24.803800582885742 0.23999999463558197 4.271999835968018 261.70001220703125 2.0269999504089355 1.0779999494552612 0.12700000405311584
11.600000381469727 11.5 21.361099243164062 21.358800888061523 5.001500129699707 35.56129837036133 24.822799682617188 0.20800000429153442 4.2779998779296875 242.60000610351562 1.9930000305175781 1.0490000247955322 0.13500000536441803
12.100000381469727 12.0 21.33449935913086 21.332199096679688 5.0005998611450195 35.57640075683594 24.841699600219727 0.2590000033378601 4.275000095367432 222.39999389648438 1.9529999494552612 1.0399999618530273 0.13199999928474426
12.600000381469727 12.5 21.31719970703125 21.314699172973633 5.000800132751465 35.59189987182617 24.858299255371094 0.20800000429153442 4.2779998779296875 214.39999389648438 1.937000036239624 1.034000039100647 0.13699999451637268
13.100000381469727 13.0 21.279300689697266 21.27680015563965 4.999800205230713 35.615501403808594 24.88680076599121 0.2150000035762787 4.2789998054504395 199.5 1.9079999923706055 1.034999966621399 0.13099999725818634
13.600000381469727 13.5 21.21380043029785 21.21109962463379 4.996399879455566 35.64229965209961 24.925199508666992 0.27000001072883606 4.2779998779296875 188.60000610351562 1.8849999904632568 1.090000033378601 0.13699999451637268
14.100000381469727 14.0 21.162200927734375 21.159500122070312 4.994800090789795 35.67259979248047 24.962400436401367 0.22499999403953552 4.275000095367432 176.0 1.8539999723434448 1.0640000104904175 0.14800000190734863
14.600000381469727 14.5 21.076099395751953 21.073299407958984 4.993299961090088 35.7322998046875 25.0314998626709 0.17900000512599945 4.283999919891357 162.1999969482422 1.819000005722046 1.065999984741211 0.15800000727176666
15.100000381469727 15.0 21.042200088500977 21.0393009185791 4.994200229644775 35.76750183105469 25.06760025024414 0.24899999797344208 4.267000198364258 151.8000030517578 1.7899999618530273 1.090999960899353 0.1679999977350235
15.600000381469727 15.5 21.041400909423828 21.038400650024414 4.996200084686279 35.7843017578125 25.080699920654297 0.18400000035762787 4.252999782562256 144.39999389648438 1.7690000534057617 1.1030000448226929 0.16699999570846558
16.100000381469727 16.0 21.033100128173828 21.030000686645508 4.9984002113342285 35.80889892578125 25.101699829101562 0.19200000166893005 4.224999904632568 135.39999389648438 1.7400000095367432 1.149999976158142 0.16300000250339508
16.600000381469727 16.5 21.027999877929688 21.024799346923828 4.9994001388549805 35.82120132446289 25.112499237060547 0.1469999998807907 4.105999946594238 127.9000015258789 1.715999960899353 1.149999976158142 0.1850000023841858
17.100000381469727 17.0 21.02280044555664 21.019500732421875 4.999899864196777 35.8291015625 25.1200008392334 0.14800000190734863 4.056000232696533 120.5999984741211 1.690000057220459 1.1779999732971191 0.20600000023841858
17.600000381469727 17.5 21.023300170898438 21.019899368286133 5.0 35.82929992675781 25.1200008392334 0.13699999451637268 4.038000106811523 111.80000305175781 1.6579999923706055 1.2039999961853027 0.26600000262260437
18.100000381469727 18.0 21.020999908447266 21.01759910583496 5.0 35.8307991027832 25.12179946899414 0.12600000202655792 4.064000129699707 110.5999984741211 1.652999997138977 1.1399999856948853 0.32600000500679016

In total, there are 33 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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