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Dataset Title:  "NEGOM CTD - n1l10s03.nc - 28.51N, 83.36W - 1997-11-18" Subscribe RSS
Institution:  OCEAN.TAMU   (Dataset ID: negom_n1l10s03)
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: 35)
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   35 options
    depth ?  =  m   35 options
    temperature ?  =  degree_C   29 options
    potentialTemperature ?  =  degree_C   30 options
    conductivity ?  =  Siemens per meter   25 options
    salinity ?  =  PSU   29 options
    sigmat ?  =  kg m-3   30 options
    descentRate ?  =  meters per second   29 options
    transmission ?  =  percent   15 options
    par ?  =  umol m-2 s-1   35 options
    parv ?  =  volts   35 options
    fluorescence ?  =  volts   29 options
    backscattering ?  =  volts   16 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 20.728099822998047 20.72760009765625 4.957900047302246 35.74330139160156 25.134000778198242 0.21899999678134918 4.238999843597412 112.0 2.2019999027252197 1.2139999866485596 0.14900000393390656
3.0 3.0 20.729900360107422 20.729299545288086 4.958399772644043 35.74489974975586 25.134700775146484 0.2709999978542328 4.238999843597412 104.9000015258789 2.1740000247955322 1.2350000143051147 0.15299999713897705
3.5 3.5 20.72570037841797 20.725000381469727 4.957499980926514 35.74150085449219 25.13330078125 0.257999986410141 4.242000102996826 92.62999725341797 2.119999885559082 1.2309999465942383 0.15700000524520874
4.0 4.0 20.72920036315918 20.7283992767334 4.958199977874756 35.744300842285156 25.13450050354004 0.2070000022649765 4.241000175476074 84.1500015258789 2.078000068664551 1.2029999494552612 0.1550000011920929
4.5 4.5 20.7273006439209 20.72640037536621 4.957900047302246 35.74250030517578 25.133699417114258 0.23100000619888306 4.241000175476074 76.31999969482422 2.0360000133514404 1.1959999799728394 0.15299999713897705
5.0 5.0 20.726699829101562 20.72570037841797 4.957699775695801 35.742000579833984 25.133499145507812 0.25200000405311584 4.243000030517578 69.5999984741211 1.996000051498413 1.2009999752044678 0.1509999930858612
5.5 5.5 20.72949981689453 20.7283992767334 4.9583001136779785 35.744300842285156 25.13450050354004 0.21299999952316284 4.247000217437744 64.54000091552734 1.9630000591278076 1.2039999961853027 0.15800000727176666
6.0 6.0 20.761899948120117 20.760799407958984 4.965700149536133 35.776100158691406 25.149999618530273 0.2540000081062317 4.245999813079834 57.2599983215332 1.9119999408721924 1.2259999513626099 0.15800000727176666
6.5 6.5 20.768999099731445 20.767799377441406 4.967100143432617 35.78120040893555 25.152000427246094 0.2240000069141388 4.248000144958496 55.52000045776367 1.8980000019073486 1.2450000047683716 0.15800000727176666
7.0 7.0 20.761699676513672 20.760400772094727 4.965400218963623 35.77399826049805 25.148500442504883 0.27300000190734863 4.244999885559082 50.93000030517578 1.8600000143051147 1.2280000448226929 0.16599999368190765
7.599999904632568 7.5 20.764299392700195 20.76289939880371 4.96619987487793 35.7776985168457 25.15060043334961 0.19200000166893005 4.249000072479248 48.88999938964844 1.843000054359436 1.2350000143051147 0.1599999964237213
8.100000381469727 8.0 20.791500091552734 20.790000915527344 4.972499847412109 35.805999755859375 25.1648006439209 0.2709999978542328 4.252999782562256 45.54999923706055 1.812000036239624 1.2359999418258667 0.15299999713897705
8.600000381469727 8.5 20.795400619506836 20.793800354003906 4.973299980163574 35.80849838256836 25.165800094604492 0.25600001215934753 4.252999782562256 43.68000030517578 1.7929999828338623 1.2519999742507935 0.1509999930858612
9.100000381469727 9.0 20.806299209594727 20.80459976196289 4.975800037384033 35.81930160522461 25.171100616455078 0.19200000166893005 4.252999782562256 41.68000030517578 1.7740000486373901 1.2640000581741333 0.15199999511241913
9.600000381469727 9.5 20.827800750732422 20.826000213623047 4.981500148773193 35.847599029541016 25.186800003051758 0.27799999713897705 4.25600004196167 39.31999969482422 1.7480000257492065 1.284000039100647 0.15000000596046448
10.100000381469727 10.0 20.829200744628906 20.827299118041992 4.981800079345703 35.8484001159668 25.187000274658203 0.2669999897480011 4.255000114440918 38.619998931884766 1.7410000562667847 1.2799999713897705 0.14900000393390656
10.600000381469727 10.5 20.838499069213867 20.83650016784668 4.984300136566162 35.86040115356445 25.193700790405273 0.18400000035762787 4.255000114440918 36.70000076293945 1.718000054359436 1.2740000486373901 0.1550000011920929
11.100000381469727 11.0 20.84830093383789 20.846200942993164 4.986999988555908 35.8745002746582 25.201799392700195 0.28299999237060547 4.255000114440918 35.43000030517578 1.7029999494552612 1.253000020980835 0.15399999916553497
11.600000381469727 11.5 20.847299575805664 20.84510040283203 4.9868998527526855 35.873600006103516 25.201400756835938 0.23000000417232513 4.255000114440918 34.56999969482422 1.6920000314712524 1.2680000066757202 0.15600000321865082
12.100000381469727 12.0 20.84939956665039 20.84709930419922 4.987500190734863 35.87710189819336 25.203500747680664 0.20399999618530273 4.254000186920166 33.369998931884766 1.6770000457763672 1.2680000066757202 0.1589999943971634
12.600000381469727 12.5 20.849899291992188 20.84749984741211 4.9878997802734375 35.87969970703125 25.205400466918945 0.2720000147819519 4.254000186920166 32.560001373291016 1.6660000085830688 1.2690000534057617 0.15199999511241913
13.100000381469727 13.0 20.850500106811523 20.847999572753906 4.988100051879883 35.88079833984375 25.206100463867188 0.24500000476837158 4.255000114440918 31.850000381469727 1.656999945640564 1.2730000019073486 0.1550000011920929
13.600000381469727 13.5 20.85110092163086 20.848499298095703 4.988399982452393 35.882198333740234 25.207000732421875 0.1940000057220459 4.254000186920166 31.0 1.6449999809265137 1.2860000133514404 0.1509999930858612
14.100000381469727 14.0 20.850900650024414 20.84819984436035 4.988399982452393 35.882301330566406 25.207199096679688 0.257999986410141 4.255000114440918 30.420000076293945 1.6369999647140503 1.281000018119812 0.14900000393390656
14.600000381469727 14.5 20.85099983215332 20.84819984436035 4.988500118255615 35.88240051269531 25.207300186157227 0.2370000034570694 4.255000114440918 29.850000381469727 1.628999948501587 1.2640000581741333 0.15399999916553497
15.100000381469727 15.0 20.851299285888672 20.848400115966797 4.988500118255615 35.882598876953125 25.207300186157227 0.1979999989271164 4.25600004196167 29.510000228881836 1.6230000257492065 1.2580000162124634 0.15299999713897705
15.600000381469727 15.5 20.85110092163086 20.848100662231445 4.988500118255615 35.88240051269531 25.207300186157227 0.2409999966621399 4.254000186920166 28.93000030517578 1.6150000095367432 1.25600004196167 0.16300000250339508
16.100000381469727 16.0 20.850799560546875 20.847700119018555 4.988500118255615 35.88240051269531 25.207399368286133 0.26100000739097595 4.252999782562256 28.760000228881836 1.6119999885559082 1.2610000371932983 0.17399999499320984
16.600000381469727 16.5 20.85070037841797 20.84749984741211 4.988500118255615 35.88249969482422 25.207599639892578 0.18400000035762787 4.255000114440918 28.049999237060547 1.6019999980926514 1.2680000066757202 0.1599999964237213
17.100000381469727 17.0 20.850500106811523 20.847200393676758 4.988500118255615 35.88240051269531 25.207500457763672 0.28600001335144043 4.254000186920166 28.170000076293945 1.6039999723434448 1.2790000438690186 0.1550000011920929
17.600000381469727 17.5 20.850500106811523 20.84709930419922 4.98859977722168 35.88240051269531 25.207599639892578 0.1809999942779541 4.254000186920166 27.420000076293945 1.5920000076293945 1.2890000343322754 0.1550000011920929
18.100000381469727 18.0 20.850900650024414 20.847400665283203 4.988699913024902 35.88290023803711 25.207799911499023 0.18400000035762787 4.25600004196167 27.170000076293945 1.5880000591278076 1.2610000371932983 0.15600000321865082
18.600000381469727 18.5 20.850900650024414 20.847299575805664 4.988699913024902 35.882999420166016 25.20789909362793 0.2029999941587448 4.256999969482422 26.610000610351562 1.5789999961853027 1.2649999856948853 0.1550000011920929
19.100000381469727 19.0 20.850200653076172 20.846500396728516 4.98859977722168 35.882598876953125 25.20789909362793 0.18299999833106995 4.256999969482422 25.959999084472656 1.5679999589920044 1.2640000581741333 0.1550000011920929
19.600000381469727 19.5 20.850200653076172 20.846500396728516 4.98859977722168 35.8827018737793 25.20800018310547 0.18299999833106995 4.26200008392334 25.260000228881836 1.555999994277954 1.2669999599456787 0.18700000643730164

In total, there are 35 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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